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The Cochrane Database of Systematic Reviews logoLink to The Cochrane Database of Systematic Reviews
. 2020 Jun 4;2020(6):CD013002. doi: 10.1002/14651858.CD013002.pub2

Mechanical assist devices for acute cardiogenic shock

Tamara Ni hIci 1,, Henry MP Boardman 2, Kamran Baig 3, Jody L Stafford 4, Cristina Cernei 5, Owen Bodger 5, Stephen Westaby 6
Editor: Cochrane Heart Group
PMCID: PMC7271960  PMID: 32496607

Abstract

Background

Cardiogenic shock (CS) is a state of critical end‐organ hypoperfusion due to a primary cardiac disorder. For people with refractory CS despite maximal vasopressors, inotropic support and intra‐aortic balloon pump, mortality approaches 100%. Mechanical assist devices provide mechanical circulatory support (MCS) which has the ability to maintain vital organ perfusion, to unload the failing ventricle thus reduce intracardiac filling pressures which reduces pulmonary congestion, myocardial wall stress and myocardial oxygen consumption. This has been hypothesised to allow time for myocardial recovery (bridge to recovery) or allow time to come to a decision as to whether the person is a candidate for a longer‐term ventricular assist device (VAD) either as a bridge to heart transplantation or as a destination therapy with a long‐term VAD.

Objectives

To assess whether mechanical assist devices improve survival in people with acute cardiogenic shock.

Search methods

We searched CENTRAL, MEDLINE (Ovid), Embase (Ovid) and Web of Science Core Collection in November 2019. In addition, we searched three trials registers in August 2019. We scanned reference lists and contacted experts in the field to obtain further information. There were no language restrictions.

Selection criteria

Randomised controlled trials on people with acute CS comparing mechanical assist devices with best current intensive care management, including intra‐aortic balloon pump and inotropic support.

Data collection and analysis

We performed data collection and analysis according to the published protocol.

Primary outcomes were survival to discharge, 30 days, 1 year and secondary outcomes included, quality of life, major adverse cardiovascular events (30 days/end of follow‐up), dialysis‐dependent (30 days/end of follow‐up), length of hospital stay and length of intensive care unit stay and major adverse events.

We used the five GRADE considerations (study limitations, consistency of effect, imprecision, indirectness, and publication bias) to assess the quality of a body of evidence as it relates to the studies which contribute data to the meta‐analyses for the prespecified outcomes

Summary statistics for the primary endpoints were risk ratios (RR), hazard ratios (HRs) and odds ratios (ORs) with 95% confidence intervals (CIs).

Main results

The search identified five studies from 4534 original citations reviewed. Two studies included acute CS of all causes randomised to treatment using TandemHeart percutaneous VAD and three studies included people with CS secondary to acute myocardial infarction who were randomised to Impella CP or best medical management. Meta‐analysis was performed only to assess the 30‐day survival as there were insufficient data to perform any further meta‐analyses. The results from the five studies with 162 participants showed mechanical assist devices may have little or no effect on 30‐day survival (RR of 1.01 95% CI 0.76 to 1.35) but the evidence is very uncertain.

Complications such as sepsis, thromboembolic phenomena, bleeding and major adverse cardiovascular events were not infrequent in both the MAD and control group across the studies, but these could not be pooled due to inconsistencies in adverse event definitions and reporting.

We identified four randomised control trials assessing mechanical assist devices in acute CS that are currently ongoing.

Authors' conclusions

There is no evidence from this review of a benefit from MCS in improving survival for people with acute CS. Further use of the technology, risk stratification and optimising the use protocols have been highlighted as potential reasons for lack of benefit and are being addressed in the current ongoing clinical trials.

Plain language summary

Mechanical heart pumps to aid a heart that fails suddenly

Background

Conditions that prevent the heart pumping effectively remain the leading cause of death globally. A heart attack is the most common condition that causes the heart pump to fail (called cardiogenic shock), but other causes exist such as viral infections, heart valve disease and problems with the muscle. When the heart muscle has been damaged so extensively that it can no longer pump effectively function has to be improved or organ damage and death will occur. Even with the best treatments that we currently have, the risk of dying is extremely high. Mechanical assist devices that can help the heart to pump more effectively have been developed so that the heart can recover from the insult.

However, the evidence for these treatments is scare and the aim of this review is to assess if these devices do help more people to survive. We assessed randomised control trials (clinical studies where people are randomly put into one of two or more treatment groups) where these devices were used and compare the outcome of these people to those who did not receive a device and received best medical treatment (with medicines to help the heart to pump).

Results

The evidence is current to 25 November 2019.

We identified five trials that enrolled 162 people in shock due to their heart failing. These people were randomised to using mechanical assist devices with current best management practice or current best medical management alone (which includes medicines to help the heart to pump more effectively).

The quality of the evidence was very low, due to difficulties in accounting for biases (one cannot hide the fact that a person receives a mechanical assist device, difficulty in enrolling participants, gaining consent when a person is very close to dying, and variations in the protocols on the timing of the devices and the types of devices used).

From the data, there was little or no effect on survival at 30 days if a device was used alongside current best medical management or current best medical management alone. However, we are uncertain about these findings. 

Complications such as sepsis, thromboembolic phenomena, bleeding and major adverse cardiovascular events were not infrequent in both the MAD and control group across the studies, but these could not be pooled due to inconsistencies in adverse event definitions and reporting.

Currently there are four ongoing trials. They are assessing if they can improve outcomes by selecting the people who would most likely have a benefit.

Conclusions

In conclusion, this review was unable to assess if mechanical assist devices help people with cardiogenic shock due to their heart failing. We await the results of the ongoing trials, which we anticipate will help clarify whether these devices will help people to survive with a full recovery or not.

Summary of findings

Summary of findings 1. Mechanical assist devices compared to intra‐aortic balloon pump for acute cardiogenic shock at 30‐day follow‐up.

MAD compared to IABP for acute cardiogenic shock 30‐day follow‐up
Patient or population: people with acute cardiogenic shock
Setting: hospital or intensive care unit
Intervention: MAD
Comparison: IABP
Outcomes Anticipated absolute effects* (95% CI) Relative effect
(95% CI) № of participants (studies) Certainty of the evidence
(GRADE) Comments
Risk with IABP Risk with MAD
30‐day survival
Follow‐up of 30 days was complete in all 5 studies.
Study population RR 1.01
(0.76 to 1.35) 162
(5 RCTs) ⊕⊝⊝⊝
Very lowa,b
542 per 1000 536 per 1000
(395 to 715)
Quality of life No study described quality of life.
MACE 122
(3 RCTs)
⊕⊝⊝⊝
Very lowa,b 3 studies described MACE events in a very heterogeneous manner without any clear definitions in any of the studies (Ouweneel 2017; Seyfarth 2008; Thiele 2005). CVA occurred in 1 participant who had a MAD and 1 participant who had IABP only (both in Ouweneel 2017 and both CVA were ischaemic). Ouweneel 2017 was the only study to describe if any cases had myocardial reinfarction reporting that this occurred in 1 participant who had MAD and 2 participants who had IABP only. Ouweneel 2017 described that 1 participant had a major vascular complication, with a retroperitoneal bleed after percutaneous MAD insertion. Thiele 2005 described that 7 participants developed limb ischaemia following insertion of a 17‐French arterial cannula. Limb ischaemia could be resolved by surgical approach in 3 participants and by percutaneous approach in 4 participants. Seyfarth 2008 described limb ischaemia requiring surgery after device explantation in 1 participant assigned to Impella MAD.
Dialysis‐dependent 8/24 33% 7/24 29% 48
(1 RCT)
⊕⊝⊝⊝
Very lowa,b Ouweneel 2017 reported 8/24 (33%) participants in MAD group and 7/24 (29%) in IABP group required dialysis with duration of treatment (median) 17 (25th to 75th percentile 5–29) days in MAD group and (median) 7 (25th to 75th percentile 2–9) days in IABP group.
Length of stay (hospital) 48
(1 RCT)
⊕⊝⊝⊝
Very lowa,b 1 study described length of stay Ouweneel 2017 MAD median 16 days (25th to 75th percentile 2–26) and IABP median 10 days (25th to 75th percentile 6–24)
Length of stay (ICU) 48
(1 RCT)
⊕⊝⊝⊝
Very lowa,b 1 study described length of ICU stay Ouweneel 2017 MAD median 7 days (25th to 75th percentile 3–16) IABP median 7 days (25th to 75th percentile 4–10)
Major adverse events
Mean follow‐up time 30 days
122
(3 RCTs)
⊕⊝⊝⊝
Very lowa,b Adverse events were heterogeneous. Burkhoff 2006 had 1 device failure TandemHeart blood clot in the cannula, also described 21.5% of participants in MAD group developed sepsis vs 35.7% in IABP group. Ouweneel 2017 stated that 33% in MAD group had significant bleeding vs 8% in IABP. Thiele 2005 stated that 61% in MAD group had evidence of DIC vs 15% in IABP group.
*The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI).
CI: confidence interval; CVA: cardiovascular accident; DIC: disseminated intravascular coagulation; IABP: intra‐aortic balloon pump; ICU: intensive care unit; MACE: major adverse cardiovascular events; MAD: mechanical assist device; RCT: randomised controlled trial; RR: risk ratio.
GRADE Working Group grades of evidenceHigh certainty: we are very confident that the true effect lies close to that of the estimate of the effect.
Moderate certainty: we are moderately confident in the effect estimate: the true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different.
Low certainty: our confidence in the effect estimate is limited: the true effect may be substantially different from the estimate of the effect.
Very low certainty: we have very little confidence in the effect estimate: the true effect is likely to be substantially different from the estimate of effect.

aDowngraded one level for study limitations: the majority of studies were at high or unclear risk of bias for at least one key domain.
bDowngraded two levels for imprecision: 95% CI is wide and includes the possibility of both harm and benefit, and the sample size is very low small.

Background

Description of the condition

See Appendix 1 for a glossary of terms.

Acute cardiogenic shock (ACS) is a state of inadequate organ perfusion secondary to acute heart failure (Shekar 2016). This is characterised by persistent hypotension (systolic blood pressure less than 80 mmHg to 90 mmHg or mean arterial blood pressure 30 mmHg lower than baseline, for more than 30 minutes) with reduction in Cardiac Index to less than 1.8 L/minute/m² without haemodynamic support or less than 2.0 L/minute/m² to 2.2 L/minute/m² with support and elevated filling pressures (left ventricular end‐diastolic pressure (LVEDP) greater than 18 mmHg or right ventricular end‐diastolic pressure (RVEDP) greater than 10 mmHg to 15 mmHg), a pulmonary capillary wedge pressure greater than 15 mmHg in the setting of adequate or elevated filling pressure, and clinical features of hypoperfusion (cool extremities, decreased urine output, or altered sensorium) (Mandawat 2017; Reynolds 2008; Rihal 2015).

Despite advances in the management of cardiogenic shock, it remains the leading cause of death in hospitalised people, regardless of aetiologies (Chung 2012; WHO 2018). The incidence of ACS has increased two‐fold from approximately 55,123 in 2004 to 126,555 in 2014, according to the largest publicly available data in the USA (Mandawat 2017). Furthermore, the prognosis of ACS remains poor, with only 48% of people surviving from diagnosis to hospital discharge, despite higher rates of revascularisation and use of intra‐aortic balloon pumps (IABP) (Mandawat 2017).

Myocardial infarction with left ventricular failure is the most common cause of cardiogenic shock, and cardiogenic shock occurs in approximately 5% to 8% of people hospitalised with ST elevation myocardial infarction (STEMI) and 2.5% of non‐STEMI cases (Babaev 2005; Fox 2007; Hasdai 2000). When cardiogenic shock complicates an acute myocardial infarction, the reported mortality rate is between 85% and 90% (Goldberg 2001). Any cause of acute and severe left ventricular or right ventricular dysfunction can lead to cardiogenic shock. Acute myopericarditis, Takotsubo cardiomyopathy, and peripartum cardiomyopathy can all lead to reversible ventricular dysfunction which have good long‐term prognosis, but only if the person can be supported through the acute phase of cardiac failure and cardiogenic shock (Emmert 2011; Howell 2016; Kato 1999; Omerovic 2016; Zalewska‐Adamiec 2016).

Description of the intervention

For people with refractory cardiogenic shock despite maximal vasopressors, inotropic support and IABP, mortality approaches 100% with few people surviving (Hochman 2001). Survival in these cases may be possible by providing complete circulatory support with a mechanical assist device (MAD) (Hendry 1999; Hill 1986; Holman 1995).

MADs provide mechanical circulatory support (MCS) that has the ability to maintain vital organ perfusion, to unload the failing ventricle thus reducing intracardiac filling pressures which reduces pulmonary congestion, myocardial wall stress and myocardial oxygen consumption. MADs also have the ability to augment coronary perfusion by supporting the circulation during procedures which aim to treat the underlying cause of cardiogenic shock, such as revascularisation or ablation of ventricular arrhythmia (Friedel 1992; Rihal 2015). This can allow time for myocardial recovery (bridge to recovery) or allow time to come to a decision as to whether the person is a candidate for a longer‐term ventricular assist device (VAD) either as a bridge to heart transplantation or as a destination therapy with a long‐term VAD (Copeland 2004).

How the intervention might work

Current devices can be divided into categories: short‐term versus long‐term devices; paracorporeal versus intracorporeal; pulsatile versus continuous flow devices; full versus partial support devices; percutaneous versus surgical; and assist devices versus complete heart replacement (total artificial heart) (Sellke 2010).

In people presenting with critical circulatory instability, the chosen mechanical assistance should be rapidly available and easily implantable. Standard cardiopulmonary bypass is designed to ensure minutes to hours of support for people undergoing cardiac surgery. Extracorporeal membrane oxygenation (ECMO) provides continuous flow support to people with respiratory, cardiac or combined cardiopulmonary failure for days to weeks. Deoxygenated blood is drained from the venous system, the pulmonary system is bypassed by placing an oxygenator in parallel with the native lungs and pumped in a continuous manner using a centrifugal or roller pump back to the arterial circulation (Bartlett 2010). Cannulation can be obtained centrally (blood being drained directly from the right atrium and returned to the proximal ascending aorta) or peripherally (blood draining from the proximal femoral or jugular vein and returned to the carotid axillary or femoral artery), typically using the Seldinger technique, via an open or percutaneous approach (Chamogeorgakis 2013).

Venoarterial ECMO is available for cardiac or cardiopulmonary failure as a bridge to recovery, a bridge to definitive VAD or bridge to heart transplantation (Squiers 2016).

Similarly, short‐term VADs can be rapidly implantable and provide extracorporeal or paracorporeal pulsatile or continuous flow. VADs support the function of the left ventricle (left ventricular assist device (LVAD)), right ventricle (right ventricular assist device (RVAD)) or both ventricles (biventricular assist device (BiVAD)) depending on what is required for that particular patient. They do not include an oxygenator, thus providing isolated cardiac support. These devices are more expensive but allow the people longer duration of circulatory support and greater opportunity to mobilise (Rihal 2015).

Why it is important to do this review

The leading cause of death internationally is cardiovascular disease, and cardiogenic shock is the penultimate point in which there is an opportunity to intervene (Lü 2016).

Cardiac surgeons are faced with increasingly complex cases with significant comorbidities, and with quality indexes, such as failure to rescue those who develop complications (e.g. postcardiotomy cardiogenic shock) being increasingly assessed. In order to operate on such complex cases, having the knowledge of the best current evidence will provide hospital trusts with the essential information in providing the necessary equipment and in training staff in the use of mechanical support devices.

The National Institute for Health and Care Excellence (NICE) guidelines: Acute heart failure: diagnosis and management, state that "at an early stage, the specialist should have a discussion with a centre providing MCS about people with potentially reversible severe acute heart failure or people who are potential candidates for heart transplantation" (NICE 2014).

The 2016 European Society of Cardiology guidelines for the diagnosis and treatment of acute and chronic heart failure include MCS as a treatment option for people who cannot be stabilised on medical treatment alone. In addition to the uses described above, MCS, particularly ECMO, can be used as a 'bridge to decision' in people with cardiogenic shock to achieve haemodynamic stability, to allow consideration of long‐term MCS and heart transplant to be evaluated (Ponikowski 2016).

The American Heart Association (AHA) and International Society for Heart and Lung Transplantations guidelines recommend patients with persistent cardiogenic shock with or without end‐organ hypoperfusion, should be evaluated for MCS candidacy by a multidisciplinary team with expertise in the selection, implantation, and management of MADs (AHA 2012; ISHLT 2013). The most recent AHA scientific statement on the contemporary management of cardiogenic shock state, "We suggest that temporary MCS devices can be inserted in patients who are not expected to recover as early as possible in the course of CS [cardiogenic shock] as a bridge to recovery, bridge to a bridge, BTT, or bridge to decision strategy in appropriately selected patients with CS" (AHA 2017).

Many cardiology/cardiothoracic centres do not have timely access to temporary mechanical support devices. This review aims to assess the effectiveness of this treatment which would be valuable in guiding patient management and service planning.

Objectives

To assess whether mechanical assist devices improve survival in people with acute cardiogenic shock.

Methods

Criteria for considering studies for this review

Types of studies

We included randomised controlled trials (RCTs) comparing MADs with best current intensive care management, including IABP and inotropic support. We included studies reported as full‐text, those published as abstract only and unpublished data. We did not include cross‐over trials as we were looking at survival data in the setting of people with an exceedingly high mortality risk.

Types of participants

We included all participants, irrespective of age (adults and children), with a diagnosis of ACS secondary to any cause. ACS was defined as "a state of organ hypoperfusion secondary to acute cardiac failure" (Shekar 2016). This is characterised by persistent hypotension (systolic blood pressure less than 80 mmHg to 90 mmHg or mean arterial blood pressure 30 mmHg lower than baseline, for more than 30 minutes) with reduction in Cardiac Index to less than 1.8 L/minute/m² without haemodynamic support or less than 2.2 L/minute/m² with support, and a pulmonary capillary wedge pressure greater than 15 mmHg in the setting of adequate or elevated filling pressure (Reynolds 2008; Rihal 2015).

We included studies with a subset of eligible participants in the review. When more than one of the included trials was found to have less than 75% of people with the diagnosis of interest, we accepted that this reduces the validity of the results.

Types of interventions

The intervention group was any participant treated with a MAD, including ECMO, LVAD, RVAD or BiVAD, compared to the control group which was treated with best current intensive care management, including inotropic support and IABP.

Types of outcome measures

The reporting of outcomes was not a criteria for inclusion in the review.

Primary outcomes
  1. Survival (measured to: discharge; 30 days; 1 year; end of follow‐up).

  2. Survival (measured to: transplant; unsupported cardiac function; end of follow‐up).

Secondary outcomes
  1. Quality of life (using a validated quality of life scale or questionnaire, measured to: discharge; 30 days; 6 months; 1 year; end of follow‐up).

  2. Major adverse cardiovascular events (measured to: discharge; 30 days; 6 months; 1 year; end of follow‐up):

    1. cerebrovascular accidents (persistent central neurological deficit for greater than 72 hours);

    2. myocardial infarction;

    3. acute limb ischaemia.

  3. Dialysis‐dependent (measured to: discharge; 30 days; 1 year; end of follow‐up).

  4. Length of hospital stay and length of intensive care unit stay.

  5. Major adverse events, for example, deep sternal wound infection, prolonged ventilation greater than 72 hours (measured to: discharge; 30 days; 6 months; 1 year; end of follow‐up).

Search methods for identification of studies

Electronic searches

We identified trials through systematic searches of the following bibliographic databases on 25 November 2019:

  1. CENTRAL, Issue 11 (the Cochrane Library);

  2. Epub Ahead of Print, In‐Process & Other Non‐Indexed Citations, MEDLINE Daily and MEDLINE (Ovid, 1946 to 22 November 2019);

  3. Embase (Ovid, 1980 to 2019 week 47);

  4. Web of Science Core Collection (Clarivate Analytics, 1900 to 25 November 2019).

We adapted the preliminary search strategy for MEDLINE (Ovid) for use in the other databases (Appendix 2). We applied the Cochrane sensitivity‐maximising RCT filter to MEDLINE (Ovid) and adaptations of it to the other databases, except CENTRAL (Lefebvre 2011).

We also conducted a search of ClinicalTrials.gov (www.ClinicalTrials.gov), the World Health Organization (WHO) International Clinical Trials Registry Platform (ICTRP) Search Portal (apps.who.int/trialsearch/), the UK Clinical Research Network Portfolio Database (public.ukcrn.org.uk), and Centerwatch (www.centerwatch.com) on 4 August 2019.

We searched all databases from their inception and we imposed no restriction on language of publication.

We searched relevant manufacturers' websites for trial information on 4 August 2019. Manufacturers of MADs that we have identified in previous searches were: Abbott (www.thoratec.com; www.sjmglobal.com), Getinge AB (www.maquet.com), Medtronic (www.medtronic.com), LivaNova (www.livanova.com), Hemovent (www.hemoventgmbh.com), ABIOMED (www.abiomed.com), www.reliantheart.com, Novacor (www.novacor.co.uk), MyLVAD (www.mylvad.com), Jarvik Heart (www.jarvikheart.com, www.terumoheart.net, www.sunshineheart.com).

Searching other resources

We checked reference lists of included studies and review articles for additional references. We contacted trial authors for missing data and through peer groups, identified any other ongoing trials. We examined any relevant retraction statements and errata for included studies.

Data collection and analysis

Selection of studies

Two teams of two review authors (JS, TN and CC, PA) independently screened titles and abstracts of all potential studies we identified as a result of the search for inclusion and code them as 'retrieve' (eligible or potentially eligible/unclear) or 'do not retrieve'. If there were any disagreements, a fifth review author arbitrated (KB). We retrieved the full‐text study reports/publications and two review authors (TN, JS) independently screened the full‐text and identified studies for inclusion, and identified and recorded reasons for exclusion of the ineligible studies. We resolved any disagreements through discussion or, if required, we consulted a third review author (KB). We identified and excluded duplicates and collated multiple reports of the same study so that each study, rather than each report, was the unit of interest in the review. We recorded the selection process in sufficient detail to complete a PRISMA flow diagram (Liberati 2009).

Data extraction and management

We use Covidence (www.covidence.org), and extracted study characteristics and outcome data onto a form piloted on at least one study in the review. We included studies irrespective of whether measured outcome data were reported in a usable way.

Two review authors (CC and JS) extracted the following study characteristics.

  1. Methods: study design, total duration of study, number of study centres and location, study setting, withdrawals, date of study.

  2. Participants: number of participants randomised to the intervention, number of participants lost to follow‐up, number of participants analysed, mean age, age range, gender, cause of cardiogenic shock, diagnostic criteria, baseline lung function, smoking history, lactate prior to initiating MCS.

  3. Interventions: type of MADs, duration from diagnosis to intervention, duration of treatment, comparison, concomitant medications.

  4. Outcomes: primary and secondary outcomes specified and collected, time points reported, number lost to follow‐up, reasons for loss to follow‐up.

  5. Notes: funding for trial, notable conflicts of interest of trial authors.

Two review authors (CC and JS) independently extracted outcome data from included studies. We resolved disagreements by consensus or by involving a third review author (PA). One review author (TN) transferred data into Review Manager 5 (Review Manager 2014). We double‐checked that data were entered correctly by comparing the data presented in the review with the study reports. A second review author (JS) spot‐checked study characteristics for accuracy against the trial report.

Assessment of risk of bias in included studies

Two review authors (TNH and JS) independently assessed risk of bias for each study using the criteria outlined in the Cochrane Handbook for Systematic Reviews of Interventions (Higgins 2011). We resolved any disagreements by discussion or by involving another review author (PA). We assessed the risk of bias according to the following domains.

  1. Random sequence generation.

  2. Allocation concealment.

  3. Blinding of participants and personnel.

  4. Blinding of outcome assessment.

  5. Incomplete outcome data.

  6. Selective reporting.

  7. Other bias.

We assessed selective outcome reporting bias by comparing the outcomes reported with the outcomes planned based on clinical trial registries/published protocols.

We graded each potential source of bias as high, low or unclear and provide a quote from the study report together with a justification for our judgement in the 'Risk of bias' table. We summarised the 'Risk of bias' judgements across different studies for each of the domains listed. Where information on risk of bias related to unpublished data or correspondence with a trialist, we noted this in the 'Risk of bias' table.

When considering treatment effects, we took into account the risk of bias for the studies that contributed to that outcome.

Assessment of bias in conducting the review

We conducted the review according to the published protocol and reported any deviations from it in the Differences between protocol and review section of the review (Ni hlci 2018).

Measures of treatment effect

It was our intention to conduct the meta‐analysis using the most informative outcome and matching methods. Given that our primary outcome was patient survival this would (ideally) involve the use of individual participant data (IPD) and the tools of survival analysis. Therefore, we contacted the authors of studies identified in the review to request this data. If such data were available for a sufficient number of studies, we would have performed the meta‐analysis using Cox Regression with mixed effects, following the recommendations of a review of methods (Austin 2017). We would then have conducted analysis using Poisson Regression modes and reported hazard ratios (HRs) (Simmonds 2005). However, we were unable to obtain IPD in all cases, and it was necessary to resort to using aggregated data. In the case that we were required to use aggregate data, we opted for binary survival at 30 days.

In addition to the primary measures, we collected and reported on outcomes such as overall survival, survival to transplant, survival to unsupported cardiac function and major adverse events where possible. We reported confidence intervals (CI) of time to death and time to major adverse events, along with point estimates. We planned to describe dichotomous data relating to status at a fixed time point using risk ratios (RRs) with corresponding CI (Higgins 2011). For continuous outcomes, we calculated the mean difference (MD) between the treatment arms at the end of follow‐up, if all trials measured the outcome on the same scale, otherwise we pooled standardised mean differences (SMDs), with 95% CI.

Unit of analysis issues

Where studies reported multiple observations for the same participant, we included the data according to the closest time point where applicable (e.g. survival at 30 days and survival at one year). For quality of life data, we planned to include the last follow‐up point collected and, for adverse event data, we included the first event in meta‐analyses and described additional events for the same individual in the text.

In multiple‐arm studies, where more than two interventional arms met the eligibility criteria, we planned to combine the two device arms to have a single comparator (best current intensive care management, including IABP and inotropic support).

As the intervention was in the setting of a life‐threatening event, cross‐over trials would not be possible, thus we did not anticipate finding cross‐over trials.

To avoid unit of analysis errors in cluster‐RCTs, we conducted the analysis at the same level as the allocation, using a summary measurement from each cluster. Then the sample size is the number of clusters and analysis proceeds as if the trial was individually randomised (though the clusters become the individuals). However, this might considerably, and unnecessarily, reduce the power of the study, depending on the number and size of the clusters; we planned to acknowledge this as a limitation.

Dealing with missing data

We contacted investigators or study sponsors to verify key study characteristics and obtain missing numerical outcome data where possible (e.g. when a study was identified as abstract only). Where this was not possible, and the missing data were thought to introduce serious bias, we explored the impact of including such studies in the overall assessment of results by a sensitivity analysis.

Assessment of heterogeneity

We assessed heterogeneity qualitatively by comparing the clinical and methodological characteristics of the included trials and by visual inspection of forest plots to assess the degree of overlap in the CIs.

We compared heterogeneity quantitatively using the Chi² test of heterogeneity and the I² statistic in each analysis. We considered a Chi² test resulting in P less than 0.1 indicating significant statistical heterogeneity. We interpreted I² statistics in the following manner: 0% to 40%, potentially not important; 30% to 60%, moderate heterogeneity; 50% to 90%, substantial heterogeneity and 75% to 100%, considerable heterogeneity (Deeks 2011).

If we found very high heterogeneity, we first checked the data specifically, questioning any outliers. If the data were correct, we would have explored the results to understand why there was heterogeneity, and identify the factors that may be causing the variation between studies. If we found any modifiers, we would have cautiously reported the overall and subgroup analysis. We noted that the subgroup analysis was rarely randomised and we cautioned that our results should be considered observational and hypothesis‐generating, rather than definitive.

If we had identified substantial or considerable heterogeneity, we would had report it and explored possible causes using prespecified subgroup analysis.

If the studies were too dissimilar in clinical (population, setting, intervention) and methodological heterogeneity (study design, risk of bias) and there was a high level of heterogeneity on visual inspection of the forest plots (I² greater than 90% and Chi² with P less than 0.1), then we planned not to proceed with meta‐analysis (Higgins 2011).

Assessment of reporting biases

If we were able to pool more than 10 trials, we planned to create and analyse a funnel plot to explore possible reporting biases for the primary outcomes.

Data synthesis

We undertook meta‐analyses only where this was meaningful, that is, if the treatments, participants and the underlying clinical question were similar enough for pooling to make sense.

We would have used a random‐effects model for pooling of treatment effects, since the studies would differ in the mixes of participants and in the implementations of MADs (Higgins 2011).

We would have presented all results with the corresponding 95% CIs. We would have conducted all analyses according to the guidelines in the Cochrane Handbook for Systematic Reviews of Interventions (Higgins 2011), and with the statistical components of Review Manager 5 software (Review Manager 2014).

If sufficient, clinically similar studies had been available, we would have pooled the results in meta‐analyses. For time‐to‐event data, we would have pooled HRs using the generic inverse variance facility of Review Manager 5 (Review Manager 2014). For dichotomous outcomes, we would have calculated the RR for each study and then pooled them. For continuous outcomes, we would have pooled the MDs between the treatment arms at the end of follow‐up if all trials measure the outcome on the same scale, otherwise we would have pooled the SMDs.

We would have descriptively summarised the studies for which pooling of results was not possible.

Subgroup analysis and investigation of heterogeneity

We planned to carry out the following subgroup analyses.

  1. Neonatal (less than 28 days of age)/paediatric (28 days to 16 years of age)/adult (greater than 16 years of age).

  2. Cause of ACS/ischaemic heart disease/cardiomyopathy/acute myopericarditis.

  3. MAD compared with IABP.

  4. MAD compared with best medical therapy excluding IABP.

  5. Percutaneous MADs (pMAD) (using Seldinger insertion technique) versus surgical MADs (inserted via sternotomy/thoracotomy).

  6. Long‐term MCS devices (durable LVAD) compared with short‐term MCS devices (for example, ECMO, Impella).

  7. Participants who had refractory cardiac arrest compared with participants with no cardiac arrest at the time of device implantation.

We used the following outcomes in subgroup analyses.

  1. Survival (to discharge/30 days/1 year/to end of follow‐up).

  2. Major adverse events (to discharge/30 days/1 year/to end of follow‐up).

We used the formal test for subgroup interactions in Review Manager 5 (Review Manager 2014).

Sensitivity analysis

We planned to carry out the following sensitivity analysis.

  1. Only including studies with a low risk of bias across all domains.

Brief economic commentary

We developed a brief economic commentary based on current methods guidelines to summarise the availability and principal findings of trial‐based and model‐based economic evaluations (cost‐analyses, cost‐effectiveness analyses, cost‐utility analyses and cost‐benefit analyses) (Shemilt 2011; Shemilt 2017), that compare the use of MADs to best current intensive care management, including IABP and inotropic support. We identified relevant studies for this brief economic commentary during searches conducted for the review and during supplementary searches performed in accordance with search strategies developed by the Cochrane Economics Methods Group (Shemilt 2017). This commentary focused on the extent to which principal findings of eligible economic evaluations indicated that an intervention might be judged favourably (or unfavourably) from an economic perspective, when implemented in different settings.

Reaching conclusions

We based our conclusions only on findings from the quantitative or narrative synthesis of included studies for this review. We avoided making recommendations for practice and our implications for research would suggest priorities for future research and outline any remaining uncertainties in the area.

Summary of findings and assessment of the certainty of the evidence

We created a 'Summary of findings' table with the following outcomes and two time points.

Primary
  1. Survival (30 days/end of follow‐up).

  2. Survival (to transplant or unsupported cardiac function/end of follow‐up).

Secondary
  1. Quality of life (using a validated quality of life scale or questionnaire; 30 days/end of follow‐up).

  2. Major adverse cardiovascular events (30 days/end of follow‐up).

  3. Dialysis‐dependent (30 days/end of follow‐up).

  4. Length of hospital stay and length of intensive care unit stay.

  5. Major adverse events, for example, deep sternal wound infection, prolonged ventilation (30 days/end of follow‐up).

The comparison described in the 'Summary of findings' table would be MADs compared to best current intensive care management, including IABP and inotropic support.

We used the five GRADE considerations (study limitations, consistency of effect, imprecision, indirectness, and publication bias) to assess the quality of a body of evidence as it relates to the studies which contribute data to the meta‐analyses for the prespecified outcomes. We used methods and recommendations described in Section 8.5 and Chapter 12 of the Cochrane Handbook for Systematic Reviews of Interventions (Higgins 2011), using GRADEpro GDT software (GRADEpro GDT). Two review authors (CC and JS) independently assessed the quality of the evidence and decided on downgrading and upgrading. If no agreement could be reached, a third review author (PA) resolved the disagreement. We justified all decisions to downgrade or upgrade the quality of the evidence using footnotes and we provided comments to aid the reader's understanding of the review where necessary. We planned to create one overall 'Summary of findings' table for our main analysis of MADs compared to best current intensive care management (inotropic support and IABP).

Results

Description of studies

See: Characteristics of included studies; Characteristics of excluded studies tables.

Results of the search

The searches resulted in 5616 citations and an additional 11 references were identified from the papers' reference lists and review of the ongoing clinical trials. We removed 1101 duplicates, resulting in 4515 citations for screening. See Figure 1 for full details of the process.

1.

1

Study flow diagram. RCT: randomised controlled trial.

We excluded 4473 records on the basis of information in the title and abstract. We retrieved the full text of 42 references, which were screened independently by two review authors (TNH and CC). Thirty of these did not meet the inclusion criteria.

Twelve references of five RCTs met the inclusion criteria, and were included in the review. One trial had four publications (Thiele 2005), two trials had three publications (Ouweneel 2017; Seyfarth 2008), one trial had one paper (Burkhoff 2006), and one trial was described in a conference abstract only (Bonnefoy‐Cudraz 2014).

The search for conference proceedings, meeting abstracts and ongoing trials in databases such as ClinicialTrials.gov (clinicaltrials.gov) yielded four ongoing trials relevant to this review (DanGer Shock Trial; ECLS‐SHOCK; ECMO‐CS; EuroShock).

Included studies

Five prospective RCTs randomised people with ACS to a MAD or best medical management including the use of an IABP. Two studies included all causes of ACS (Burkhoff 2006; Thiele 2005), and three studies included people with ACS only caused by acute myocardial infarction (Bonnefoy‐Cudraz 2014; Ouweneel 2017; Seyfarth 2008). The two studies that included all causes of ACS randomised participants to the TandemHeart percutaneous VAD while those that included people with ACS due to acute myocardial infarction were randomised to the percutaneous Impella CP (Burkhoff 2006; Thiele 2005).

The total number of participants included in the five studies was 162 (13 to 41 participants included in each study). Four studies described the gender of the 148 participants, 75% of who were male (Burkhoff 2006; Ouweneel 2017; Seyfarth 2008; Thiele 2005). The number of centres ranged from one (Thiele 2005) to 12 (Burkhoff 2006). The mean age of participants receiving MAD ranged from 58 to 65.7 years and those in the control group from 58 to 67 years. Three studies described the mean lactate concentration prior to initiating treatment (Burkhoff 2006; Ouweneel 2017; Thiele 2005); in the MAD group this ranged from 4.1 mg/dL (Burkhoff 2006) to 7.5 mg/dL (Ouweneel 2017), and in the IABP group from 3.8 mg/dL (Thiele 2005) to 8.9 mg/dL (Ouweneel 2017).

Of note, there were no studies investigating people after cardiotomy shock, and there were no studies that included people under the age of 18 years. In the people who presented with acute myocardial infarction, coronary revascularisation was performed prior to initiation of mechanical support in 69% of cases (Ouweneel 2017; Thiele 2005). Two studies described the time from diagnosis to initiation of support, which ranged from 4.5 hours to 11 hours and was similar in the MAD and IABP groups (Seyfarth 2008; Thiele 2005). Three studies described the duration of treatment (Burkhoff 2006; Seyfarth 2008; Thiele 2005); the mean ranged from 23 hours to four days, with those in Seyfarth 2008 having the shortest duration of support and Thiele 2005 the longest.

Excluded studies

We excluded 22 studies. Of these, 11 investigated an ineligible cohort whereby MADs were used in people with chronic heart failure, or in cohorts of high‐risk percutaneous interventions (Characteristics of excluded studies table).

Ongoing studies

We found four ongoing studies (DanGer Shock Trial; ECLS‐SHOCK; ECMO‐CS; EuroShock; Characteristics of ongoing studies table).

Risk of bias in included studies

The risk of bias of each study is summarised in Figure 2 with details for each judgement provided in the Characteristics of included studies table.

2.

2

Risk of bias summary: review authors' judgements about each risk of bias item for each included study.

Allocation

Random sequence generation

Random sequence generation was unclear in three studies as there was no clear method described to how the randomisation processes was performed (Bonnefoy‐Cudraz 2014; Burkhoff 2006; Seyfarth 2008). Two studies were clear regarding the timing of randomisation and method of doing so and were therefore at low risk of bias in this domain (Ouweneel 2017; Thiele 2005).

Allocation concealment

Allocation concealment was unclear in three studies (Bonnefoy‐Cudraz 2014; Burkhoff 2006; Seyfarth 2008). Seyfarth 2008 was a prospective two centre RCT that, after initial assessment of haemodynamics, randomly assigned eligible participants to either treatment with IABP or Impella LP2.5, but further details of the randomisation were not clarified. In Burkhoff 2006, there was a roll‐in phase of nine participants into the study prior to initiation of the randomisation of the subsequent 33 participants, the method of randomisation was not described. Bonnefoy‐Cudraz 2014 did not describe any methods.

Allocation concealment was at low risk of bias in the remaining two studies (Ouweneel 2017; Thiele 2005). Thiele 2005 performed randomisation by drawing sealed envelopes and Ouweneel 2017 performed it in a 1:1 ratio using an Internet‐based application.

Blinding

Performance bias unclear in all the studies. None of the studies described any methods of blinding of participants or personnel.

Detection bias was low in one study where the outcome assessment was clearly blinded as an independent clinical event committee adjudicated the events (Ouweneel 2017). Imaging parameters were assessed by independent local core laboratories that were blinded to the other trial data and randomisation outcome (Ouweneel 2017). The other four studies did not describe any attempts at blinding the outcome assessors, thus were deemed to have unclear risk for detection bias (Bonnefoy‐Cudraz 2014; Burkhoff 2006; Seyfarth 2008; Thiele 2005).

Incomplete outcome data

Attrition bias was low in four studies as they described complete outcome data for the 30‐day survival outcome. One participant was lost to follow‐up when assessing the six‐month outcome (Ouweneel 2017). One study was at high risk for attrition as two randomised participants were not included or accounted for in the analysis (Bonnefoy‐Cudraz 2014).

Selective reporting

Selective reporting bias was low as all that was described in the methods of all five studies were reported and the data were complete in all studies.

Other potential sources of bias

There were no other identified biases in the included studies. 

Effects of interventions

See: Table 1

Meta‐analysis was performed only to assess the 30‐day survival as there was insufficient data to perform any further meta‐analysis.

Survival (30 day)

The results from the five studies with 162 participants showed that there was little or no effect in 30‐day survival, with an RR of 1.01 (95% CI 0.76 to 1.35). The GRADE of the evidence was classed as very low which means we are uncertain about the finding.

One of the five trials was powered to assess an absolute reduction in the 30‐day survival (Ouweneel 2017), the others had 30‐day survival as secondary outcomes. Ouweneel 2017 reported that there was no significant difference in 30‐day survival in the pMAD group (54%) versus the IABP group (50%), with an HR of 0.96 (95% CI 0.42 to 2.18).

Overall, of the 162 participants included, 84 had MAD, 40 of whom survived to 30 days (47.6% survival) and 78 had IABP, of whom 39 survived (50% survival).

No study described whether participants went on to have a transplant or unsupported cardiac care.

Subgroup analysis assessing the type of MAD comparing those who received TandemHeart (two studies; Burkhoff 2006; Thiele 2005) to those who received other devices (Bonnefoy‐Cudraz 2014: Impella LP 5.0 plus IABP; Ouweneel 2017: Impella CP plus IABP: Seyfarth 2008: Impella CP) demonstrated no statistical difference between the two groups' survival outcomes at 30 days (Chi² = 0.20, df = 1 (P = 0.66); I² = 0%).

Survival (to transplant or unsupported cardiac function/end of follow‐up)

None of the studies gave details regarding survival beyond 30 days and there were no data regarding the number of participants who survived to transplant or unsupported cardiac function.

Quality of life

None of the studies assessed quality of life in people who underwent treatment for ACS with IABP or MAD.

Major adverse cardiovascular events

Three studies described major adverse cardiovascular events in a heterogeneous manner (Ouweneel 2017; Seyfarth 2008; Thiele 2005). There were no clear definitions for major adverse cardiovascular events in any of the published studies. Cerebrovascular accident was described to have occurred in one participant who had a MAD and one participant who had IABP only; these were both in Ouweneel 2017 and both CVA were ischaemic. Ouweneel 2017 was the only study to describe if any cases had myocardial reinfarction reporting that this occurred in one participant who had MAD and two participants who had IABP only. Ouweneel 2017 described that one participant had a major vascular complication, with a retroperitoneal bleed after pMAD insertion. Limb ischaemia occurred in three of the MAD group and none in the IABP group. Thiele 2005 described that seven participants developed limb ischaemia following insertion of a 17‐French arterial cannula. Limb ischaemia could be resolved by surgical approach in three participants and by percutaneous approach in four participants. Seyfarth 2008 described one case of limb ischaemia requiring surgery after device explantation in a participant assigned to Impella MAD.

Dialysis‐dependent

Only one study described if any cases required renal replacement therapy following the episode of ACS (Ouweneel 2017). They described that 33% of the MAD group and 29% of the IABP group required renal replacement therapy.

Length of hospital stay

One study described the length of hospital stay after initiation of treatment (Ouweneel 2017). The mean length of stay in the MAD group was 16 days (range 3 days to 26 days) and in the IABP alone group 10 days (range 6 days to 24 days).

Length of intensive care unit stay

Ouweneel 2017 was the only study to report length of intensive care unit stay. The mean length of stay in the MAD group was 7 days (range 3 to 16 days), and in the IABP alone group was 7 days (range 4 to 10 days).

Major adverse events

Three studies described major adverse events (Burkhoff 2006; Ouweneel 2017; Thiele 2005). Burkhoff 2006 described one incident of TandemHeart failure and one event where the device had to be removed because of a device‐related problem (blood clotting in the cannula; activated clotting time documented to be 182 seconds, which is less than the recommended 200 seconds to 250 seconds). They described that systemic infection or sepsis occurred in four (21.1%) of the MAD group and five (35.7%) of the IABP group. Ouweneel 2017 described major bleeding occurred in eight (33%) of the MAD group and two (8%) of the IABP group. They postulated the reason for this was those with mechanical support received heparin in addition to standard dual antiplatelet therapy after percutaneous coronary intervention (PCI). Thiele 2005 described that 13 (61%) participants in the VAD group and three (15%) participants in the IABP group had signs of disseminated intravascular coagulation (DIC). In the three participants with IABP, DIC was mild and could be resolved by substitution with antithrombin III. In eight participants with VAD, DIC was severe with subsequent haemorrhagic diathesis.

Discussion

Summary of main results

This systematic review identified five prospective RCTs studying adults with ACS who were randomised to treatment with MADs or current best medical practice including the use of an IABP. Two studies included all causes of ACS and the MAD used was TandemHeart and two studies included only cases of cardiogenic shock secondary to acute myocardial infarction and the MAD used was Impella.

None of the studies were powered to assess if MADs improve survival in people with ACS, thus the primary objective of this review was unachievable. Four studies described 30‐day outcomes and there was little or no effect in the 30‐day survival. No RCT assessed survival to transplant or unsupported cardiac function beyond six months.

Major adverse cardiovascular rates and major adverse event rates are not described consistently across the four trials and we are unable to conclude whether MAD led to an increased rate of complications. Three trials described limb ischaemia and found a trend towards an increase rate of limb ischaemia with MAD. This may be an issue with the catheter size as 33% of the participants in Thiele 2005 who had MAD with TandemHeart and a 17‐French catheter had issues with peripheral limb ischaemia.

Based on the current published RCTs, we were unable to assess and formulate a brief economic commentary, and subgroup analysis was only possible for one outcome.

Overall completeness and applicability of evidence

There are several limitations to the evidence base reviewed. Both the number of trials that met the inclusion criteria for the review and also the number of participants included in the review were low. Not all the prespecified outcomes for the review were included in all the trials and some were not reported by any included trial. The condition studied, with its acute nature, rapid deterioration and high mortality make RCTs challenging to undertake.

There are several different devices for MCS, two different forms were included in this review; two trials (74 participants) utilised the TandemHeart and recruited between 2002 and 2004 and 2000 and 2003; two trials (74 participants) utilised the Impella device and recruited between 2012 and 2015 and 2004 and 2007. Further devices have been developed and are being developed and it is likely that there may be differences in the effects between devices. The small number of participants included did not permit subgroup analysis to compare effect sizes according to device type. With the available evidence, we were unable to determine if MCS did offload pharmacological support or not. 

Research is often undertaken at larger academic medical institutions which often carry out higher volumes of procedures, it is established that health outcomes are improved in high‐volume centres and it may be that outcomes would not be so good and adverse event rates higher in those undergoing MCS in smaller cardiac surgical centres.

Quality of the evidence

A summary of the findings and strength of evidence for comparing MCS and IABP can be found in Table 1.

The evidence for 30‐day survival was downgraded to very‐low certainty, due to study limitations (risk of bias in key domains) and very serious concerns about imprecision that related to the very small sample size and wide CIs including both the possibility of benefit and harm. Future evidence is highly likely to change the estimated effect.

The quality of evidence for the secondary outcomes was downgraded to very‐low certainty. No studies described quality of life outcomes. Three studies described major adverse cardiovascular events 30‐day follow‐up (Ouweneel 2017; Seyfarth 2008; Thiele 2005), and three studies reported major adverse events at 30‐day follow‐up (Burkhoff 2006; Ouweneel 2017; Thiele 2005); reporting was heterogeneous without any clear definitions in any of the studies. Dialysis‐dependence, length of hospital stay and length of intensive care unit stay were described in one trial each.

Potential biases in the review process

We all work to try to improve the outcomes in hopeless situations and we have an inherent bias to try to save lives. All trials under‐represented women in their study populations (75% of the participants in the studies were male). Due to the nature of the intervention the trials were not blinded; however, due to the main outcome being survival it is unlikely that a lack of blinding had an impact on this. Despite extensive searches, it is possible that we were not able to identify all relevant studies.

Agreements and disagreements with other studies or reviews

The findings of this review are consistent with other reviews published in this field. The European Society of Cardiology updated their guidance on the management of cardiogenic shock complicating myocardial infarction (ESC 2019), they concluded that, despite an increasing number of pMAD data derived from clinical trials on the effectiveness safety, differential indications for different devices and optimal timing are limited. The authors of three of the RCTs described in this review, collaborated and published a review and collaborative meta‐analysis including individual patient data concluded that there was no difference in mortality for 148 included participants. They found that there was improvement in arterial lactate and mean arterial blood pressure after device insertion. Counterbalancing this, however, were significantly more bleeding complications in the MAD group (Thiele 2017).

The Uspella registry reported on 15,259 people with acute myocardial infarction cardiogenic shock treated with Impella (2.5, CP or 5.0) in 1010 US hospitals and, of the total patients, 51% survived to explantation (Basir 2016 USpella registry). Of note, there were wide variations in survival observed on hospital sites, they found significant differences between survival at the time of explantation across various settings (30% survival rate among the lowest quintiles less than 1 Impella case/year versus 76% among the top quintile greater than 7 cases/year; P < 0.001). They identified two variables associated with improved survival, the timing of the MAD and haemodynamic monitoring. Clinicians used MAD as first‐line treatment or as salvage after inotropic or balloon pump therapy failure. Data on MAD was available in 5571 people and they found that use of MCS devices as first‐line treatment was associated with a 59% survival rate as compared with 52% when used as a salvage strategy (P < 0.001). When investigating the impact of invasive haemodynamic monitoring using pulmonary artery catheters on outcome in 13,984 people, they found that the survival rate among people who received haemodynamic monitoring was 63% compared with 49% in those who did not (P < 0.001). They found that older age was associated with a lower survival (OR 0.98, 95% CI 0.97 to 0.99; P < 0.0001). In people aged less than 50 years, 61.2% survived to explant versus 45.1% of people aged over 80 years of age) and that Impella used before PCI was independently associated with better survival (OR 1.34, 95% CI 1.2 to 1.5; P < 0.001), and that Impella CP was also associated with better survival compared with Impella2.5 (OR 1.28, 95% CI 1.12 to 1.47; P = 0.003).

International guidelines in ACS highlight the difficulty both ethically and practically in RCTs adequately powered to detect differences in clinical outcomes achieved as a result most of the trials have been underpowered and guideline recommendations are driven mostly by expert consensus (ESC 2019). Currently, early revascularisation is the only proven treatment to reduce mortality in acute myocardial infarction complicated by cardiogenic shock (Hochman 1999), but the extent of the revascularisation limited to the culprit lesion only (Thiele 2017 CULPRIT Shock Trial). But, despite the complexities and difficulties in performing clinical studies in cardiogenic shock, it now has been repeatedly shown that such trials can be successfully performed and international collaboration to build large cardiogenic shock research networks to answer the multiple open questions in the treatment of cardiogenic shock.

Currently there are four ongoing randomised control trials investigating the role of MAD in cardiogenic shock, powered to show a mortality benefit for MAD (one Impella, three VA ECMO). DanGer Shock 2019 has published the trial design along with the characteristics of the first 100 participants randomised. This collaborative trial will be the first adequately powered trial to address whether MCS with Impella CP can improve survival in acute myocardial cardiogenic shock. This trial has clear protocols published. Issues regarding consent are clear as in Denmark written informed proxy consent from relatives is obtained and in Germany the principle investigators' inability to obtain informed consent due to the urgency of the situation should be backed up by an independent physician, and the principle investigator assesses and acts according to supposed patients will. All centres must have direct access to an Internet‐based randomisation system and if the patient is randomised to the treatment then Impella CP is placed before revascularisation. Patients with an out‐of‐hospital cardiac arrest with persistent Glasgow Coma Scale less than 8 after return of spontaneous circulation are excluded from this study and only patients with arterial lactate greater than 2.5 mmol/L. In the ICU, patients irrespective of randomisation group are recommended to have invasive cardiovascular monitoring including a pulmonary artery catheter. No weaning attempts are done in the initial 48 hours, if there is stability at 48 hours, weaning should be attempted. If weaning leads to haemodynamic instability the device should be maintained and daily weaning attempts performed. After one week of support, escalation should be considered to venoarterial ECMO or LVAD. Guidance on the management of complications from the device is also clearly stipulated.

The published trials included in our review did not exclude people with out‐of‐hospital arrest. In the case of the largest trial, IMPRESS in Severe Shock trial, all their participants were mechanically ventilator prior to randomisation, and, overall, 92% of the included participants had an out‐of‐hospital cardiac arrest with a median duration of chest compression of more than 20 minutes and 25% of resuscitated participants were resuscitated for more than 45 minutes implying a significant risk of hypoxic cerebral injury (Ouweneel 2017). They found that the primary cause of death at six months was brain damage in 46% and death due to refractory cardiogenic shock occurred in 29% of the deceased participants. It has been speculated that the inclusion of out‐of‐hospital cardiac arrests contributed to the neutral result of the trial. Thus, the DanGer Shock trial has excluded these patients (DanGer Shock 2019). However, they include people who had a cardiac arrest in the catheterisation laboratory or after the arrival of emergency services. As we were unable to obtain individual patient data and the numbers were so small, we were unable to perform a sensitivity analysis for the cohort of patients without cardiac arrest in this systematic review and meta‐analysis.

Authors' conclusions

Implications for practice.

We are uncertain about the effects of mechanical circulatory support in improving survival for people with acute cardiogenic shock.

Further use of the technology, risk stratification and optimising the use protocols may help to improve the situation.

The results of this review should not have implication for practice.

Implications for research.

The small number of participants included in this review and the very‐low quality of evidence indicate that further research is highly likely to change the estimated effect.

An effort should be made for future trials to define and report complications in a consistent manner as this would allow comparisons across studies, and pooling of the data. This is crucial in this field as sample sizes in these studies tend to be quite small.

The devices available for mechanical circulatory support and clinicians experience in selecting patients and when to implant them is fast developing. Most participants included in this review were randomised pre‐2010. Further research will be key in identifying whether there are subgroups of patients who can benefit from this treatment and the magnitude of this benefit.

History

Protocol first published: Issue 4, 2018
Review first published: Issue 6, 2020

Acknowledgements

We wish to acknowledge the help of the Cochrane Heart Group. We wish to acknowledge the input of  Charlene Bridges, Information Specialist, for designing and running the search strategies and Andrea Takeda, Methods Specialist, who helped with analysing the data and formulating the 'Summary of findings' table. We wish to acknowledge the significant contribution made by Nicole Martin, the Managing Editor of Cochrane Heart, who guided and improved this review with constructive comments and invaluable advice. The additional comments and reviews from Mahmood Ahmad, Editor, and peer reviewers, Saraschandra Vallabhajosyula and Philippe Gaudard, who's comments greatly helped in improving this review. 

Appendices

Appendix 1. Glossary

Acute cardiac failure: sudden loss of heart function.

Acute myopericarditis: sudden inflammation of the heart muscle or the lining of the heart.

Cardiogenic shock: develops when the heart muscle has been damaged so extensively it can no longer pump enough blood to maintain the bodies function and if not reversed will lead to organ damage and death.

Continuous flow: the pressure in the person's arterial system is continuous and does not change and the person does not have a palpable pulse.

Haemodynamic support: medical help to maintain the blood supply to vital organs.

Heart failure: the heart is unable to effectively pump blood around the body.

Intracorporeal ventricular assist device: is a pumping device which is situated inside the body that assists the heart to pump blood.

Left/right ventricular end diastolic pressure: the pressure in the left/right ventricle when the heart is at rest prior to contracting.

Myocardial infarction: heart attack.

Organ hypoperfusion: is a state where the organs are not receiving enough blood to receive adequate oxygen and nutrients to function/stay alive.

Paracorporeal ventricular assist device: is a pumping device which is situated outside the body which is connected to the major blood vessels to assist the heart to pump blood.

Percutaneous device: is a device that is inserted via a needle through the skin into a blood vessel.

Peripartum cardiomyopathy: when a woman's heart muscle does not function well around the time of childbirth.

Persistent hypotension: continuous low blood pressure.

Postcardiotomy cardiogenic shock: where a person's heart is able to pump after open heart surgery.

Pulsatile flow: blood flow which has a variable pressure and the person has a pulse.

Refractory cardiogenic shock: the heart is no longer pumping adequately despite the maximum medical treatment.

ST elevation myocardial infarction: serious heart attack leading to heart muscle death.

Surgical device: is a device that is inserted via opening the body using a scalpel.

Takotsubo cardiomyopathy: broken heart syndrome, where the heart becomes suddenly weakened.

Univentricular/biventricular dysfunction: the heart has two pumping chambers, right and left ventricle. If one is not working properly this is univentricular dysfunction; if both are not working properly it is biventricular dysfunction.

Vasopressor/inotropic support: medications that increase blood pressure by helping the heart to pump stronger and faster.

Appendix 2. Search strategies

CENTRAL
#1MeSH descriptor: [Heart Failure] explode all trees
#2((heart or cardiac or myocardial) near/2 fail*)
#3MeSH descriptor: [Shock, Cardiogenic] this term only
#4(Cardiogenic near/2 shock)
#5#1 or #2 or #3 or #4
#6MeSH descriptor: [Heart‐Assist Devices] this term only
#7((mechanical or heart) near/2 (assist or device*))
#8((ventric* or biventric*) near/2 assist*)
#9((ventric* or biventric*) near/2 device*)
#10(VAD or VADs or LVAD or LVADs or RVAD or RVADs or BIVAD or BIVADs)
#11MeSH descriptor: [Extracorporeal Membrane Oxygenation] this term only
#12ECMO
#13(extracorporeal near/3 membrane)
#14(extracorporeal near/3 mechanical)
#15(extracorporeal near/3 life support)
#16ECLS
#17ELS
#18#6 or #7 or #8 or #9 or #10 or #11 or #12 or #13 or #14 or #15 or #16 or #17
#19#5 and #18

MEDLINE Ovid
1 exp Heart Failure/
2 ((heart or cardiac or myocardial) adj2 fail*).tw.
3 Shock, Cardiogenic/
4 (Cardiogenic adj2 shock).tw.
5 1 or 2 or 3 or 4
6 Heart‐Assist Devices/
7 ((mechanical or heart) adj2 (assist or device*)).tw.
8 ((ventric* or biventric*) adj2 assist*).tw.
9 ((ventric* or biventric*) adj2 device*).tw.
10 (VAD or VADs or LVAD or LVADs or RVAD or RVADs or BIVAD or BIVADs).tw.
11 Extracorporeal Membrane Oxygenation/
12 ECMO.tw.
13 (extracorporeal adj3 membrane).tw.
14 (extracorporeal adj3 mechanical).tw.
15 (extracorporeal adj3 life support).tw.
16 ECLS.tw.
17 ELS.tw.
18 6 or 7 or 8 or 9 or 10 or 11 or 12 or 13 or 14 or 15 or 16 or 17
19 5 and 18
20 randomized controlled trial.pt.
21 controlled clinical trial.pt.
22 randomized.ab.
23 placebo.ab.
24 drug therapy.fs.
25 randomly.ab.
26 groups.ab.
27 20 or 21 or 22 or 23 or 24 or 25 or 26
28 exp animals/ not humans.sh.
29 27 not 28
30 19 and 29

Embase Ovid
1 exp heart failure/ (423396)
2 ((heart or cardiac or myocardial) adj2 fail*).tw.
3 cardiogenic shock/
4 (Cardiogenic adj2 shock).tw.
5 1 or 2 or 3 or 4
6 heart assist device/
7 ((mechanical or heart) adj2 (assist or device*)).tw.
8 ((ventric* or biventric*) adj2 assist*).tw.
9 ((ventric* or biventric*) adj2 device*).tw.
10 (VAD or VADs or LVAD or LVADs or RVAD or RVADs or BIVAD or BIVADs).tw.
11 extracorporeal oxygenation/
12 ECMO.tw.
13 (extracorporeal adj3 membrane).tw.
14 (extracorporeal adj3 mechanical).tw.
15 (extracorporeal adj3 life support).tw.
16 ECLS.tw.
17 ELS.tw.
18 6 or 7 or 8 or 9 or 10 or 11 or 12 or 13 or 14 or 15 or 16 or 17
19 5 and 18
20 random$.tw.
21 factorial$.tw.
22 crossover$.tw.
23 cross over$.tw.
24 cross‐over$.tw.
25 placebo$.tw.
26 (doubl$ adj blind$).tw.
27 (singl$ adj blind$).tw.
28 assign$.tw.
29 allocat$.tw.
30 volunteer$.tw.
31 crossover procedure/
32 double blind procedure/
33 randomized controlled trial/
34 single blind procedure/
35 20 or 21 or 22 or 23 or 24 or 25 or 26 or 27 or 28 or 29 or 30 or 31 or 32 or 33 or 34
36 (animal/ or nonhuman/) not human/
37 35 not 36
38 19 and 37

Web of Science
# 17 #16 AND #15
# 16 TS=(random* or blind* or allocat* or assign* or trial* or placebo* or crossover* or cross‐over*)
# 15 #14 AND #3
# 14 #13 OR #12 OR #11 OR #10 OR #9 OR #8 OR #7 OR #6 OR #5 OR #4
# 13 TS=ELS
# 12 TS=ECLS
# 11 TS=(extracorporeal near/3 life support)
# 10 TS=(extracorporeal near/3 mechanical)
# 9 TS=(extracorporeal near/3 membrane)
# 8 TS=ECMO
# 7 TS=(VAD or VADs or LVAD or LVADs or RVAD or RVADs or BIVAD or BIVADs)
# 6 TS=((ventric* or biventric*) near/2 device*)
# 5 TS=((ventric* or biventric*) near/2 assist*)
# 4 TS=((mechanical or heart) near/2 (assist or device*))
# 3 #2 OR #1
# 2 TS=(Cardiogenic near/2 shock)
# 1 TS=((heart or cardiac or myocardial) near/2 fail*)

Clinical Trial registers and other resources

#1 Cardiogenic shock 

Data and analyses

Comparison 1. Mechanical circulatory support (MCS) versus intra‐aortic balloon pump (IABP).

Outcome or subgroup title No. of studies No. of participants Statistical method Effect size
1.1 30‐day survival 5 162 Risk Ratio (M‐H, Random, 95% CI) 1.01 [0.76, 1.35]
1.1.1 TandemHeart device 2 75 Risk Ratio (M‐H, Random, 95% CI) 0.95 [0.64, 1.42]
1.1.2 Other device 3 87 Risk Ratio (M‐H, Random, 95% CI) 1.09 [0.71, 1.66]

1.1. Analysis.

1.1

Comparison 1: Mechanical circulatory support (MCS) versus intra‐aortic balloon pump (IABP), Outcome 1: 30‐day survival

Characteristics of studies

Characteristics of included studies [ordered by study ID]

Bonnefoy‐Cudraz 2014.

Study characteristics
Methods Study design: RCT
Study grouping: not described
Total duration of the study: not described
Number of study sites and locations: not described
Study setting: not described
Date of the study: not described
Participants People with CS secondary to AMI
Baseline characteristics not described
Total number of participants randomised to intervention: 15
Number of participants lost to follow‐up: 2
Number of participants analysed: 13
Interventions Impella LP5.0 + IABP vs IABP alone
Intervention characteristics
MCS
  • Type of MCS: LVAD Impella LP5.0 + IABP

  • Duration from diagnosis to intervention: N/A

  • Duration of treatment: N/A

  • Concomitant medications: N/A


IABP
  • Duration from diagnosis to intervention: N/A

  • Duration of treatment: N/A

  • Concomitant medications: N/A

Outcomes Haemodynamic effect
  • CPI after 12 hours of support was increased but not significantly in people with the Impella LP5.0 + IABP compared with people with IABP (LP5.0 + IABP: CPI 0.08 (SD 0.08) watt/m²; IABP: CPI –0.02 (SD 0.25) watt/m²; P = 0.415).


Survival: 30 day
  • 30‐day mortality was 28.6% (2 deaths 1 week after inclusion) in Impella LP5.0 + IABP group compared to 0 in IABP group.


Survival measured to: transplant: unsupported cardiac function
  • Not reported


Quality of life
  • Not reported


Major adverse cardiovascular events
  • Not reported


Dialysis‐dependent
  • Not reported


Length of hospital stay
  • Not reported


Length of ICU stay
  • Not reported


Major adverse events
  • Not reported

Identification Sponsorship source: not stated
Country: France
Setting: not reported
Authors name: E Bonnefoy‐Cudraz
Institution: Hospital Louis Pradel of Bron, Intensive Cardiac Care, Lyon, France
Email: N/A
Address: N/A
Year: 2014
Notes Published as a conference abstract.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Method of selection not described.
Allocation concealment (selection bias) Unclear risk Method of allocation concealment not described.
Blinding of participants and personnel (performance bias)
All outcomes Unclear risk Not described.
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Not described.
Incomplete outcome data (attrition bias)
All outcomes High risk 2 participants randomised not included or accounted for in analysis.
Selective reporting (reporting bias) Low risk Outcomes were objective and described for all cases that were accounted for in analysis.
Other bias Unclear risk No information regarding how they dealt with minimising bias. The full paper has not been published.

Burkhoff 2006.

Study characteristics
Methods Study design: RCT
Study grouping: parallel group
Total duration of the study: 2 years
Number of study sites and locations: 12 sites in USA and Switzerland
Study setting: tertiary referral sites
Date of the study: April 2002 to April 2004
Participants Baseline characteristics
MCS
  • Age (mean): 65.7 (SD 13.8) years

  • Male gender n (%): 14 (74%)

  • Lactate (mean): 4.1 (SD 4) mmol/L

  • Smokers n (%): N/A

  • pH: N/A

  • Lung function: N/A

  • Cause of CS: 57% AMI, most of the remaining had decompensated chronic heart failure.


IABP
  • Age (mean): 60.3 (SD 10.7) years

  • Male gender n (%): 9 (64%)

  • Lactate (mean): 5.5 (SD 4.7) mmol/L

  • Smokers n (%): N/A

  • pH: N/A

  • Lung function: N/A

  • Cause of CS: 71% AMI, most of the remaining had decompensated chronic heart failure.


Inclusion criteria: aged ≥ 18 years; presented within 24 hours of developing CS; ad indwelling right catheter for measurement of PCWP and Cardiac Index; CS defined as Cardiac Index V2.2 L/m²/minute, MAP 70 mmHg, PCWP 15 mmHg and evidence of end‐organ hypoperfusion (e.g. decreased urine output, altered mental status) or the need for administration of high‐dose pressor or inotropic support (or both) to maintain the participant out of CS. People already having an IABP were eligible if they still met haemodynamic criteria for CS.
Exclusion criteria: isolated right‐side heart failure, coagulopathy, sepsis, severe peripheral vascular disease, stroke within 6 months, ≥ 2+ aortic regurgitation and ventricular septal rupture.
Total number of participants randomised to intervention: 33
Number of participants lost to follow‐up: 0
Number of participants analysed: 33
Interventions MCS vs IABP
Intervention characteristics
MCS
  • Type of MCS: TandemHeart percutaneous VAD. 21‐French left atrial drainage cannula, extracorporeal centrifugal pump rotating at 7500 rpm, femoral arterial cannula 15‐French to 17‐French that extended to the iliac artery and a microprocessor based pump controller.

  • Duration from diagnosis to intervention: N/A

  • Duration of treatment: 2.5 days

  • Concomitant medications: pressors and inotropic support in all cases


IABP
  • Duration from diagnosis to intervention: N/A

  • Duration of treatment: 2.5 days

  • Concomitant medications: pressors and inotropic support in all cases

Outcomes Haemodynamic effect
  • Compared with IABP participants receiving support with MCS had significantly greater increases in Cardiac Index and greater decreases in PCWP. Changes in the cardiac output were directly proportional to changes in Cardiac Index and increased by 2.1 (SD 1.3) L/minute (P < 0.05). MAP did not change in IABP group, whereas it increased significantly in MCS group.


Overall outcomes
  • Proportion of participants dying while on support (or within 24 hours of device removal), being bridged to another treatment or capable of being weaned was similar in both groups. Overall, 30‐day survival was similar in both groups (MCS: 53%; IABP: 64%).


Survival
  • 30‐day survival: MCS: 10/19 (53%); IABP: 9/14 (64%)

  • 1‐year survival: not described


Survival measured to: transplant: unsupported cardiac function
  • Not described


Quality of life
  • Not measured


Major adverse cardiovascular events
  • MCS: system failure 1, right side of the heart failure 1, cardiac tamponade 2, damage to blood vessels 2, distal leg ischaemia 4

  • IABP: non‐CVS embolic event 1, cardiac tamponade 1, distal leg ischaemia 2


Dialysis‐dependent
  • Not reported. The outcome stated was renal dysfunction (MCS: 4; IABP 3)


Length of hospital stay
  • Not reported


Length of ICU stay
  • Not reported


Major adverse events
  • MCS: sepsis 4

  • IABP: sepsis 5


Additional outcome notes
From the 33 randomised participants, 5 IABP and 7 MCS participants were bridged to another therapy after enrolment in study. In the MCS group, 3 participants underwent extracorporeal membrane oxygenation, 2 underwent PCI, 1 underwent mitral valve repair; 5 of this group survived. In the IABP group, 4 participants bridged to left VAD and 1 underwent PCI. 3 of these participants survived ≥ 30 days.
Identification Sponsorship source: Cardiac Assist Inc, Pittsburgh
Country: USA and Switzerland
Setting: tertiary referral centre
Authors name: Daniel Burkhoff
Institution: Cardiovascular Research Foundation, Orangeburg, NY, USA
Notes  
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Randomisation method not stated. There was a roll‐in phase where VADs were inserted without randomisation in centres new to the technique. People with IABP already in situ were eligible.
Allocation concealment (selection bias) Unclear risk Method of allocation concealment not described.
Blinding of participants and personnel (performance bias)
All outcomes Unclear risk Participants would have been aware of treatment method. Results were sent to an independent clinical research organisation.
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk Data sent for external analysis very unclear which method utilised.
Incomplete outcome data (attrition bias)
All outcomes Low risk Thorough detail of outcomes for all enrolled.
Selective reporting (reporting bias) Low risk Complete outcome data available for all cases.
Other bias Unclear risk Centres that had not utilised VAD therapy previously were allowed to utilise without randomisation. Most participants already had IABP in situ but failed support.

Ouweneel 2017.

Study characteristics
Methods Study design: RCT
Study grouping: parallel group
Total duration of study: 2 years 4 months
Number of study centres and locations: 2 centres, Academic Medical Center, Amsterdam, the Netherlands and Haukeland University Hospital, Bergen, Norway
Study setting: tertiary referral centre
Date of the study: 24 May 2012 to 15 September 2015
Participants Baseline characteristics
MCS
  • Age (mean): 58 (SD 9) years

  • Gender: 18 men; 6 women

  • Lung function: N/A

  • Smoking history: N/A

  • Lactate prior to initiation (mean): 7.5 (SD 3.2) mmol/L

  • Cause of cariogenic shock: STEMI


IABP
  • Age (mean): 58 (SD 11) years

  • Gender: 20 men; 4 women

  • Lung function: N/A

  • Smoking history: N/A

  • Lactate prior to initiation (mean): 8.9 (SD 6.6) mmol/L

  • Cause of cariogenic shock: STEMI


Inclusion criteria: AMI with ST segment elevation complicated by severe CS in the setting of immediate PCI (severe CS defined as systolic blood pressure < 90 mmHg for > 30 minutes or need for inotrope or vasopressors to maintain systolic blood pressure > 90 mmHg). To select a patient population in even worse condition, patients only qualified if they were mechanically ventilated before randomisation.
Exclusion criteria: severe aorto‐iliac arterial disease with impeding placement of IABP or MCS; known severe cardiac aortic valvular disease; serious concomitant disease with a life expectancy < 1 year; participation in this study or any other trial within the previous 30 days; coronary artery bypass grafting within preceding week.
Pretreatment: baseline characteristics of groups were well balanced.
Number of participants randomised to intervention: 48
Number of participants lost to follow‐up: 0
Number of participants analysed: 48
Interventions MCS vs IABP
Intervention characteristics
MCS
  • Type of MCS: percutaneous Impella CP (maximum output 3.7 L/minute)

  • Duration from diagnosis to intervention: N/A

  • Duration of treatment: N/A

  • Concomitant medications: 100% received inotropes/catecholamines

  • Concomitant procedures: all participants underwent primary percutaneous intervention


IABP
  • Duration from diagnosis to intervention: N/A

  • Duration of treatment: N/A

  • Concomitant medications: 100% received inotropes/catecholamines

  • Concomitant procedures: all participants underwent primary percutaneous intervention

Outcomes Survival
  • 30‐day survival: MCS 54%; IABP 50%

  • 1‐year survival: not available


Survival measured to: transplant: unsupported cardiac function
  • Not described


Quality of life
  • Not described


Major adverse cardiovascular events: all clinical outcomes at 6 months
  • Cerebrovascular accident: 1 MCS; 1 IABP

  • Major vascular complication: 1 MCS; 0 IABP

  • Myocardial reinfarction: 1 MCS; 2 IABP


Dialysis‐dependent
  • MCS: 8/24 (33%); IABP: 7/24 (29%)

  • Duration (median: MCS: 17 (25th to 75th percentile 5–29) days; IABP: 7 (25th to 75th percentile 2–9) days


Length of hospital stay
  • Median: MCS: 16 (25th to 75th percentile 3–26) days; IABP: 10 (25th to 75th percentile 6–24) days


Length of ICU stay
  • Median: MCS: 7 (25th to 75th percentile 3–16) days; IABP: 7 (25th to 75th percentile 4–10) days


Major adverse event
  • Major bleeding: MCS: 8 (33%); IABP 2 (8%)

  • Haemolysis requiring extraction of the device: MCS: 2 (8%); IABP: 0 (0%)


Cause of death
  • Primary cause of death in both groups was brain damage (MCS: 41% of deceased; IABP: 50% of deceased). Death due to refractory CS occurred in 29% of deceased participants (MCS: 4/12; IABP: 3/12)


Additional outcome notes
Of the 24 MCS participants, 1 subsequently received Impella 5.0; 1 was already received IAVP support before randomisation (inserted before start of the primary PCI) and was subsequently randomised after PCI to MCS (protocol violation); 1 did not receive MCS as the participant showed signs of recovery after randomisation prior to device therapy.
Of the 24 IABP participants, 1 subsequently received MCS and was transferred to another hospital for treatment with extracorporeal life support oxygenation; 2 participants received an alternative device, the Impella 5.0 after the IABP and 1 of those received subsequent extracorporeal life support and an LVAD at another hospital.
Identification Sponsorship source: Academic Medical Center University of Amsterdam
Country: Netherlands
Setting: hospital
Comments:
Authors name: Dr José PS Henriques
Institution: Department of Intensive Care Medicine, Academic Medical Center University of Amsterdam
Email: j.p.henriques@amc.uva.nl
Address: Academic Medical Center, University of Amsterdam, AMC Heart Center, Meiberg‐dreef 9, 1105 AZ Amsterdam, the Netherlands
Year: 2017
Notes Randomisation and placement of MCS or IABP took place after revascularisation except for 8 participants in whom MCS or IABP was initiated prior to revascularisation (MCS: 5; IABP: 3).
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Allocation selection using a randomised 1:1 internet application.
Allocation concealment (selection bias) Low risk Allocation sequence adequately concealed using a randomised 1:1 Internet application.
Blinding of participants and personnel (performance bias)
All outcomes Unclear risk No description of methods of blinding for participants and personnel.
Blinding of outcome assessment (detection bias)
All outcomes Low risk An independent clinical event committee adjudicated the events. Imaging parameters were assessed by independent local core laboratories that were blinded to the other trial data and randomisation outcome.
Incomplete outcome data (attrition bias)
All outcomes Low risk All outcome data were complete.
Selective reporting (reporting bias) Low risk All outcome data were reported.
Other bias Low risk Inherent risk of bias was minimised as much as possible.

Seyfarth 2008.

Study characteristics
Methods Study design: prospective RCT
Study grouping: parallel group
Date of the study: September 2004 to January 2007.
Number of study centres and location: 2 study centres in Germany
Total duration of the study: approximately 3 years
Study setting: tertiary referral centre
Participants Baseline characteristics
IABP
  • Age (median): 67 (IQR 55–80) years

  • Male gender, n (%): 11 (85%)

  • Smoking, n (%): 7 (54%)

  • pH: N/A

  • Lactate: N/A

  • Baseline lung function: N/A

  • Cause of CS: post‐AMI


MAD
  • Age (median): 65 (IQR 55–80) years

  • Male gender, n (%): 8 (62%)

  • Smoking, n (%): 8 (62%)

  • pH: N/A

  • Lactate: N/A

  • Baseline lung function: N/A

  • Cause of CS: post‐AMI


Inclusion criteria: AMI < 48 hours, confirmed by ischaemic symptoms for ≥ 30 minutes with elevated cardiac markers or ST‐segment elevation or left bundle branch block. AMI suspected when participants were resuscitated and cardiac markers or electrocardiographic changes (or both) met criteria for AMI/acute coronary syndrome; CS defined using both clinical and haemodynamic criteria as previously described in the SHOCK trial. Clinical criteria were hypotension (systolic blood pressure < 90 mmHg) and heart rate > 90 beats/minute or need for positive inotropic drugs to maintain systolic blood pressure > 90 mmHg and end‐organ hypoperfusion (cool extremities or urine output < 30 mL/hour) or pulmonary oedema. Haemodynamic criteria were either Cardiac Index ≤ 2.2 L/minute/m² of body surface area and PCWP > 15 mmHg or an angiographically measured left ventricular ejection fraction < 30% and left ventricular end diastolic pressure > 20 mmHg. Onset of shock had to be within 24 hours.
Exclusion criteria: aged < 18 years; prolonged resuscitation (> 30 minutes); hypertrophic obstructive cardiomyopathy; definite thrombus in left ventricle; treatment with IABP; severe valvular disease or mechanical heart valve; CS caused by mechanical complications of AMI such as ventricular septal defect, acute mitral regurgitation greater than second degree or rupture of ventricle; predominant right ventricular failure or need for a right VAD; sepsis; known cerebral disease; bleeding with a need for surgical intervention pulmonary embolism; allergy to heparin or any known coagulopathy; aortic regurgitation greater than second degree; pregnancy and inclusion in another study or trial.
Pretreatment: no statistically significant differences between the study groups with respect to clinical characteristics and baseline haemodynamics.
Number of participants randomised: 26
Number of participants lost to follow‐up: 0
Number of participants analysed: 26
Interventions Intervention characteristics
MAD
  • Type of MCS: Impella LP2.5

  • Duration from diagnosis to intervention (median): 4.5 (IQR 3.8–13.2) hours

  • Duration of treatment (median): 25 (IQR 6.0–41.0) hours

  • Concomitant medications: 84% inotropic support


IABP
  • Duration from diagnosis to intervention (median): 5.0 (IQR 3.3–13.0) hours

  • Duration of treatment (median): 23 (IQR 14.1–34.1) hours

  • Concomitant medications: 92% inotropic support

Outcomes Haemodynamic effect
  • Change in Cardiac Index, which was greater in the MAD group (MAD: 0.49 (SD 0.46) L/minute/m²); IABP: 0.11 (SD 0.31) L/minute/m²; P = 0.02). MAP increased in the MAD group by 9.0 (SD 14) mmHg vs –1.2 (SD 16.2) mmHg in the IABP group.


Overall outcome
  • Overall survival similar in both groups with 6 participants who died in each group (54% survived to 30 days in both groups).


Survival
  • 30‐day survival: MCS: 7/13 (54%); IABP: 7/13 (54%)

  • 1‐year survival: N/A


Survival measured to: transplant: unsupported cardiac function
  • Not described


Quality of life
  • Not described


Major adverse cardiovascular events
  • Limb ischaemia: MCS: 1; IABP: 0

  • Other complications: not described


Dialysis‐dependent
  • Not reported


Length of hospital stay
  • Not reported


Length of ICU stay
  • Not reported


Major adverse events
  • Not reported

Identification Sponsorship source: Abiomed Europe Gmb
Country: Germany
Setting: 2 centres
Comments:
Authors name: Melchior Seyfarth
Institution: Deutsches Herzzentrum München
Email: seyfarth@dhm.mhn.de
Address: Deutsches Herzzentrum München, Lazarettstrasse 36, 80636 Munich, Germany
Year: 2008
Notes Interventions
The assigned device was implanted after revascularisation therapy and following the measurement of baseline haemodynamic parameters.
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Unclear risk Stated the participants were randomly allocated to either device, but the method of allocation not described.
Allocation concealment (selection bias) Unclear risk Allocation concealment not described.
Blinding of participants and personnel (performance bias)
All outcomes Unclear risk Unable to blind participants and personnel.
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk No description of whether the outcome assessment was blinded or not.
Incomplete outcome data (attrition bias)
All outcomes Low risk No loss of follow‐up.
Selective reporting (reporting bias) Low risk Complete description of outcome data.
Other bias Unclear risk Unclear throughout the paper how they dealt with the risk of bias.

Thiele 2005.

Study characteristics
Methods Study design: RCT
Study grouping: parallel group
Date of study: August 2000 to December 2003
Number of study centres: 1
Study setting: Department of Internal Medicine/Cardiology, University of Leipzig‐Heart Centre, Strumpellstr. 39, 04289 Leipzig, Germany
Total duration of the study: 3 years and 5 months
Participants Baseline characteristics
TandemHeart VAD
  • Age (median): 63 (IQR 57–70) years

  • Male gender, n (%): 16 (76)

  • Diabetes, n (%): 11 (52)

  • Smoking, n (%): 9 (43)

  • pH (median): 7.28 (IQR 7.24–7.36)

  • Lactate prior to intervention (median): 4.5 (3.1–6.5)

  • Lung function: not documented

  • Cause of CS: AMI


IABP
  • Age (median): 65 (IQR 59–73) years

  • Male gender, n (%): 15 (75)

  • Diabetes, n (%): 11 (55)

  • Smoking, n (%): 6 (30)

  • pH (median): 7.34 (IQR 7.28–7.38)

  • Lactate prior to intervention (median): 3.8 (3.5–6.7)

  • Lung function: not documented

  • Cause of CS: AMI


Baseline clinical characteristics were similar for both groups.
Baseline haemodynamic characteristics were similar for both groups except for a higher PCWP in the IABP group (MCS (median): 20.0 (IQR 18–23); IABP 27 (IQR 20–30); P = 0.02).
Inclusion criteria: he presence of CS complicating AMI and intention to revascularise the infarcted artery by PCI as first‐line treatment option. CS identified as: persistent systolic blood pressure < 90 mmHg or vasopressors required to maintain blood pressure > 90 mmHg; evidence of end organ failure (e.g. urine output < 30 mL/hour, cold skin and extremities, and serum lactate > 2 mmol/L); evidence of elevated left ventricular filling pressures (pulmonary congestion or PCWP > 15 mmHg); and Cardiac Index > 2.1 L/min/m².
Exclusion criteria: aged > 75 years; mechanical complications of AMI; duration of CS > 12 hours; right heart failure; sepsis; significant aortic regurgitation; severe cerebral damage; resuscitation > 30 minutes; severe peripheral vascular disease and other diseases with reduced life expectancy.
Number of participants analysed: 41
Number of participants lost to follow‐up: 0
1 participant did not receive the MAD as the patient showed rapid haemodynamic improvement after PCI but was included in the final analysis according to intention‐to‐treat principles.
Number of participants randomised to intervention: 41
Interventions Intervention characteristics
MCS
  • Type of MCS: TandemHeart VAD; after transeptal puncture a venous inflow cannula was inserted into left atrium. Oxygenated blood was drawn and returned via a centrifugal pump and an arterial cannula in the femoral artery to the lower abdominal aorta. To avoid limb ischaemia in smaller participants, 2 arterial cannulae of 12‐French in both femoral arteries were recommended. System was capable of delivering flow up to 4.0L/minute at 7500 rpm but the 12‐French cannula limited flow to 3.0 L/minute.

  • Duration (diagnosis to intervention) (median): 11.0 (IQR 6.8–18.80) minutes

  • Duration of treatment (median): 3.5 (IQR 2.0–4.5) days

  • Inotropes or vasopressors (median): 3.0 (IQR 1.0–3.0) days


IABP
  • Type of IABP: Datascope Corporation IABP inserted percutaneously, heparin administered intravenously and all participants were initially on a pumping ratio of 1:1 with 100% balloon inflation.

  • Duration (diagnosis to intervention) (median): 10.0 (IQR 5.3–25.5) minutes

  • Duration of treatment (median): 4.0 (IQR 3.5–4.0) days

  • Inotropes or vasopressors (median): 2.0 (IQR 1.0–4.0) days

Outcomes Haemodynamic outcomes
  • CPI improved by MCS from 0.22 (IQR 0.19–0.30) W/m² to 0.37 (IQR 0.30–0.47) W/m² (P < 0.001) when compared with IABP (from 0.22 (IQR 0.18–0.30) W/m² to 0.28 (IQR 0.24–0.36) W/m²; P = 0.02; P = 0.004 for intergroup comparison). Time of first CPI measurement after device implantation was similar (MCS: 40.0 (IQR 25.5–53.5) minutes; IABP: 33.5 (IQR 19.0–50.5) minutes; P = 0.28).


Overall outcomes
Survival
  • 30‐day survival: MCS: 57% survival; IABP: 55% survival


Survival measured to: transplant: unsupported cardiac function
  • Not described


Quality of life
  • Not reported


Major adverse cardiovascular events
  • In the MCS group, 7 participants developed limb ischaemia after implantation of a 17‐French arterial cannula and 0 in the IABP group (P = 0.009).


Dialysis‐dependent
  • Not reported


Length of hospital stay
  • Not reported


Length of ICU stay
  • Not reported


Major adverse events
  • 13 participants in the MCS group and 3 in the IABP group had signs of DIC. In 8 MCS participants, DIC was severe with subsequent haemorrhagic diathesis. In 3 IABP participants, DIC was mild and could be resolved by substitution with antithrombin III.

Identification Sponsorship source: Cardiac Assist, Pittsburgh
Country: Germany
Setting: Department of Internal Medicine/Cardiology, University of Leipzig‐Heart Centre, Germany
Comments:
Authors names: Holger Thiele*, Peter Sick, Enno Boudriot, Klaus‐Werner Diederich, Rainer Hambrecht, Josef Niebauer, and Gerhard Schule
Institution: Department of Internal Medicine/Cardiology, University of Leipzig‐Heart Centre
Email: thielh@medizin.uni‐leipzig.de
Address: Department of Internal Medicine/Cardiology, University of Leipzig‐Heart Centre, Strümpellstraße 39, 04289 Leipzig, Germany
Notes Outcomes
Cause of death: 4 participants in each group 3 in IABP due to LHF in the first 2 hours then 1 within 24 hours of PCI due to MODS. In the MCS group, 0 died within the 24 hours. However, 4 participants died between days 2 and 4 as a cause of MODS despite active circulatory support. 5 additional participants died in each group after weaning during 30‐day follow‐up, resulting in an overall mortality of 45% in the IABP group and 43% in the MCS group (log‐rank, P = 0.86). In the MCS group, 3 participants died after weaning due to recurrent LHF, and 2 due to sepsis or MODS. The cause of death after IABP explantation was MODS in 3 and acute LHF in 2 participants. There were no 30‐day mortality differences for participants with pre‐PCI assist support (MCS: 44%; IABP: 56%) and for those with post‐PCI support (MCS: 42%; IABP: 36%).
Risk of bias
Bias Authors' judgement Support for judgement
Random sequence generation (selection bias) Low risk Randomised by drawing sealed envelopes.
Allocation concealment (selection bias) Low risk Study specified that some appropriate safeguards were taken, i.e. sealed envelopes, but did not mention if they were non‐opaque or not sequentially numbered.
Blinding of participants and personnel (performance bias)
All outcomes Unclear risk Study did not describe whether the participants and personnel were blinded or not.
Blinding of outcome assessment (detection bias)
All outcomes Unclear risk No blinding of outcomes assessors described.
Incomplete outcome data (attrition bias)
All outcomes Low risk No missing data outcomes
Selective reporting (reporting bias) Low risk All of the study's prespecified (primary and secondary) outcomes that were of interest in the review were reported in the prespecified way.
Other bias Low risk Inherent risk of bias was minimised as much as possible.

See Appendix 2 for a glossary of terms.
AMI: acute myocardial infarction; CS: cardiogenic shock; CPI: Cardiac Power Index; CVS: cardiovascular system; DIC: disseminated intravascular coagulation; IABP: intra‐aortic balloon pump; IAVP: implantable aortic valvo‐pump; ICU: intensive care unit; IQR: interquartile range; LHF: left heart failure; MAD: mechanical assist device; MAP: mean arterial blood pressure; MCS: mechanical circulatory support; MODS: multiorgan dysfunction syndrome; N/A: not applicable; PCI: percutaneous coronary intervention; PCWP: pulmonary capillary wedge pressure; pMCS: percutaneous mechanical circulatory support; pVAD: percutaneous ventricular assist device; RCT: randomised controlled trial; rpm: revolutions per minute; SD: standard deviation; STEMI: ST elevation myocardial infarction; VAD: ventricular assist device.

Characteristics of excluded studies [ordered by study ID]

Study Reason for exclusion
Abraham 2012 Ineligible cohort – end‐stage chronic heart failure not acute cardiogenic shock.
Abraham 2014 Ineligible cohort – end‐stage chronic heart failure.
Agarwal 2015 Registry data – not an RCT.
Agrawal 2016 Review article – with no new RCT data for the relevant cohort.
Almond 2017 Ineligible cohort.
Alushi 2019 Cohort study – no RCT data.
Anderson 2006 Meeting abstract – registry data.
Basir 2019 Cohort study – no RCT data.
Birks 2009 Ineligible cohort.
Birks 2018 Prospective cohort study – end‐stage heart failure.
Bluhm 2010 Prospective non‐randomised trial.
Bol 2019 Ineligible cohort.
Bronicki 2013 Ineligible cohort chronic heart failure.
Brunner 2019 Letter with no reference to any additional RCT data.
Kar 2012 Review article – no additional RCT data.
Liu 2012 Non‐randomised trial.
Morici 2018 Cohort study – no RCT data.
NCT03101787 Registered clinical trial – ineligible treatment in an ineligible cohort.
NCT03431467 Registered clinical trial – ineligible control group.
Patel 2011 Ineligible cohort – high‐risk PCI not cardiogenic shock.
Saeed 2013 Ineligible cohort – chronic heart failure.
Vallabhajosyula 2017 Review article – with no new RCT data for the relevant cohort.

PCI: percutaneous coronary intervention; RCT: randomised controlled trial.

Characteristics of ongoing studies [ordered by study ID]

DanGer Shock Trial.

Study name DanGer shock
Methods Prospective randomised (1:1), multicentre, open‐label trial in people with STEMI complicated by cardiogenic shock
Participants 360 people with acute myocardial infarction cardiogenic shock undergoing primary percutaneous coronary intervention for STEMI.
Interventions Percutaneous Impella CP 3.8L with the device implanted before revascularisation
Outcomes Primary outcomes
  • Death (follow‐up 6 months)

  • Death from all causes


Secondary outcomes
  • MACE (timeframe 6 months)

  • Major cardiovascular events, death, cardiac transplant, escalation to permanent left ventricular assist device, rehospitalisation with heart failure.

  • Combined safety (timeframe 6 months)

  • Combined safety comprising major bleeding, vascular complications and significant haemolysis.

  • Renal function (timeframe 6 months)

  • Glomerular filtration rate, use dialysis

  • SIRS (timeframe 1 month)

  • Development of SIRS

  • Health economics (timeframe 6 months)

  • Cost of treatments

  • Haemodynamics (timeframe 7 days)

  • Cardiac Power Index, lactate clearance, pulmonary capillary wedge pressure

Starting date December 2012
Contact information Jacob E Moller, MD
jem@dadlnet.dk
Notes The DanGer trial aims to be the first adequately powered randomised trial to address whether mechanical circulatory left ventricular support with Impella CP can improve survival in acute myocardial infarction cardiogenic shock.
The baseline characteristics of the first 100 randomised participants were published in the American Heart Journal (DanGer Shock 2019), the participants were in profound cardiogenic shock, and people with out‐of‐hospital cardiac arrests were excluded.
Originally registered as the Danish Cardiogenic shock trial and the ALLOASSIST trial; due to slow recruitment, the 2 trials have been joined.

ECLS‐SHOCK.

Study name Clinical study of extra‐corporal life support in cardiogenic shock complicating acute myocardial infarction
Methods Randomised controlled trial studying standard treatment + ECLS vs standard treatment alone in people with cardiogenic shock due to myocardial infarction.
Participants People with cardiogenic shock complicating acute myocardial infarction STEMI/non‐STEMI
Interventions ECLS from Sorin
Outcomes Primary outcome
  • LVEF on day 30 (timeframe 30 days)


Secondary outcomes
  • 30‐day mortality (timeframe 30 days)

  • Lactate levels (timeframe up to 48 hours)

  • Length of mechanical ventilation (timeframe 30 days)

  • Long‐term mortality at 6 and 12 months (timeframe up to 12 months)

  • LVEF after 6 and 12 months (timeframe up to 12 months)

  • Length of ICU stay (timeframe 30 days)

  • Quality of life on day 30, after 6 and 12 months (timeframe up to 12 months)

  • 6‐minute walk distance on day 30, after 6 and 12 months (timeframe up to 12 months)

  • New York Heart Association classification on day 30, after 6 and 12 months (timeframe up to 12 months)

Starting date September 2015
Contact information Stefan Brunner, MD
Notes  

ECMO‐CS.

Study name Extracorporeal membrane oxygenation in the therapy of cardiogenic shock (ECMO‐CS)
Methods Randomised controlled trial
Participants Adults with acute cardiogenic shock
Interventions Immediate venoarterial ECMO
Outcomes Primary outcome
  • Composite of death from any cause, resuscitated circulatory arrest and implantation of another mechanical circulatory support device (timeframe: 30 days)


Secondary outcomes
  • All‐cause mortality (timeframe: 30 days)

  • All‐cause mortality (timeframe: 6 months)

  • All‐cause mortality (timeframe: 12 months)

  • Neurological outcome (according to Cerebral Performance Category scale) (timeframe: 30 days)

Starting date 26 November 2014
Contact information Petr Ostadal, MD, PhD; ostadal.petr@gmail.com
Notes  

EuroShock.

Study name Testing the value to novel strategy and its cost efficacy in order to improve the poor outcomes in cardiogenic shock (EUROSHOCK)
Methods Multicentre randomised controlled trial
Participants Adults with acute cardiogenic shock following acute coronary syndrome
Interventions Venoarterial ECMO
Outcomes Primary outcomes
  • All‐cause mortality (timeframe: at 30 days)

  • Death from any cause


Secondary outcomes
  • All‐cause mortality or admission for heart failure (timeframe: at 12 months)

  • Death from any cause, or admission to hospital for heart failure with typical symptoms (e.g. breathlessness, ankle swelling and fatigue) that may be accompanied by signs (e.g. elevated jugular venous pressure, pulmonary crackles and peripheral oedema) caused by a structural or functional (or both) cardiac abnormality, resulting in a reduced cardiac output or elevated intracardiac pressures (or both) at rest or during stress.

  • All‐cause mortality (timeframe: at 12 months)

  • Death from any cause

  • Admission for heart failure (timeframe: at 12 months)

  • Admission to hospital with clinical syndrome of heart failure, defined as per the European Society of Cardiology guidelines as typical symptoms (e.g. breathlessness, ankle swelling and fatigue) that may be accompanied by signs (e.g. elevated jugular venous pressure, pulmonary crackles and peripheral oedema) caused by a structural or functional (or both) cardiac abnormality, resulting in a reduced cardiac output or elevated intracardiac pressures (or both) at rest or during stress.

Starting date January 2019
Contact information Anthony H Gershlick; ahg8@le.ac.uk
Notes  

ECLS: extracorporeal life support; ECMO: extracorporeal membrane oxygenation; ICU: intensive care unit; LVEF: left ventricular ejection fraction; MACE: major adverse cardiovascular event; SIRS: systemic inflammatory response syndrome; STEMI: ST elevation myocardial infarction.

Differences between protocol and review

We planned to study survival at 30 days, one year, end of follow‐up, to transplantation or unsupported cardiac care. However, the only survival data available was for 30 days.

We planned to report on outcomes such as overall survival, survival to transplant, survival to unsupported cardiac function and major adverse events where possible. We reported confidence intervals (CI) of time to death and time to major adverse events, along with point estimates. We planned to describe dichotomous data relating to status at a fixed time point using risk ratios (RRs) with corresponding CI (Higgins 2011). For continuous outcomes, we calculated the mean difference (MD) between the treatment arms at the end of follow‐up, if all trials measured the outcome on the same scale, otherwise we planned to pool standardised mean differences (SMDs). However, these data were not provided in the studies.

We planned to carry out the following subgroup analyses.

  1. Neonatal (less than 28 days of age)/paediatric (28 days to 16 years of age)/adult (greater than 16 years of age).

  2. Cause of acute cardiogenic shock/ischaemic heart disease/cardiomyopathy/acute myopericarditis.

  3. Mechanical assist device (MAD) compared with intra‐aortic balloon pump (IABP).

  4. MAD compared with best medical therapy excluding IABP.

  5. pMADs (using Seldinger insertion technique) versus surgical MADs (inserted via sternotomy/thoracotomy).

  6. Long‐term MCS devices (durable left ventricular assist device) compared with short‐term MCS devices (for example, extracorporeal membrane oxygenation, Impella).

  7. Participants who had refractory cardiac arrest compared with participants with no cardiac arrest at the time of device implantation.

However, there were insufficient data to do these analyses.

We planned to do an economic commentary, but there were insufficient published data to do so.

Contributions of authors

TNH: with JS independently screened titles and abstracts for inclusion of potential studies. Wrote the first draft of the results, reviewed and revised the discussion, and inputted the data into the 'Characteristics of studies' tables and made amendments to revise the paper as per editors' comments.

HB: reviewed the draft of the results and wrote the first draft of the discussion.

KB: reviewed the selected papers and was available for advice regarding any conflicts; reviewed and added data from the included papers into Covidence; reviewed the final paper.

JS: with TNH independently screened the abstracts and titles. Independent of TNH performed risk of bias in the included studies; and added paragraphs to discussion section and reviewed the results.

CC: independent to TNH and JS screened titles and abstracts for inclusion of all potential papers. Inputted data from the included studies into the 'Summary of findings' table.

OB: reviewed the results and the statistical data from the paper.

SW: reviewed the final draft of the completed paper.

Sources of support

Internal sources

  • No sources of support supplied

External sources

  • NIHR Infrastructure funding, UK

    This project was supported by the National Institute for Health Research (NIHR), via Cochrane Infrastructure funding to the Heart Group. The views and opinions expressed therein are those of the authors and do not necessarily reflect those of the Systematic Reviews Programme, NIHR, National Health Service (NHS) or the Department of Health and Social Care

Declarations of interest

TNH: none.

HB: none.

KB: none.

JS: none.

CC: none.

OB: I have not received any payment (or benefits), either directly or indirectly, for my contribution to (or as a consequence of my involvement in) this project.

SW: Professor Westaby is medical director of Cell Therapy Ltd, and founder and shareholder of Calon Cardiotechnology.

New

References

References to studies included in this review

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NCT03431467 {published data only}

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DanGer Shock Trial {unpublished data only}

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ECLS‐SHOCK {published data only}

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ECMO‐CS {published data only}

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EuroShock {published data only}

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