Abstract
Background
Patients who require a prolonged weaning process comprise a highly heterogeneous group of patients amongst whom the outcome differs significantly. The present study aimed to identify the factors that predict whether the outcome for prolonged weaning will be successful or unsuccessful.
Methods
Data from tracheotomised patients who underwent prolonged weaning on a specialised weaning unit were assessed retrospectively via an electronic and paper-bound patient chart. Factors for weaning success were analysed by univariate and multivariate analyses.
Results
Out of the 124 patients examined, 48.4% were successfully weaned (n = 60). Univariate analysis revealed that long-term home mechanical ventilation prior to current weaning episode; time between intubation and the first spontaneous breathing trial (SBT); time between intubation and the first SBT of less than 30 days; lower PaCO2 prior to, and at the end of, the first SBT; and lower pH values at the end of the first SBT were predictors for successful weaning. Following multivariate analysis, the absence of home mechanical ventilation prior to admission, a maximum time period of 30 days between intubation and the first SBT, and a non-hypercapnic PaCO2 value at the end of the first SBT were predictive of successful weaning.
Conclusions
The current analysis demonstrates that the evidence for respiratory insufficiency type II provided by clinical findings serves as a predictor of weaning failure.
Keywords: Mechanical ventilation, COPD, Weaning, Tracheostomy, Respiratory failure
Background
Weaning a patient off mechanical ventilation (MV) plays a key role in modern pneumology and long-term mechanical ventilation [1]. Three different categories of weaning have been established by Boles and colleagues: category 1: simple weaning, category 2: difficult weaning, and category 3: prolonged weaning [1]. These categories are defined according to the time and number of unsuccessful spontaneous breathing trials (SBTs) the patient needs (after the first unsuccessful SBT) until he/she can be extubated; this process occurs under the condition of readiness to wean [1]. Here, prolonged weaning is defined as failure of at least three weaning attempts or requiring of > 7 days of weaning after the first SBT [1].
According to literature, 30–60% of patients are classified into the simple weaning category, 25–40% into the difficult weaning category, and 6–30% into the prolonged weaning category [2–5]. A new definition for weaning categories has recently been proposed, based on the fact that not all weaning patients can be classified according to the Boles criteria, for example, those who never underwent an SBT (i.e. successful self-extubation, no weaning attempt possible) [6]. For this purpose, the new classification is based on the amount of time required by intubated or tracheotomised patients to achieve weaning success or separation from mechanical ventilation, respectively, following the first separation attempt. This particular classification also defines prolonged weaning patients (category 3) as either successful or unsuccessful [6]. However, this new classification requires further evaluation.
Patients classified into the prolonged weaning group based on the Boles criteria form a highly heterogeneous group of patients. This is due to extremely different underlying conditions, differences in the leading cause of respiratory insufficiency type II, various underlying reasons for acute respiratory failure, and significant variation in the occurrence of co-morbidities that contribute to respiratory failure [7]. Since the outcome of weaning success differs considerably in these patients, it would be desirable to assess in advance whether a patient undergoing a prolonged weaning process (category 3) can ultimately be successfully weaned or not. To date, the evaluation of predictors for weaning success/failure in prolonged weaning patients has not been performed; therefore, the present study aimed to identify these factors.
Methods
Patients
Patient data collected between January 2009 and December 2011 were assessed retrospectively via electronic and paper-bound patient charts. All data were derived from patients who were treated in the weaning unit at the Department of Pneumology, Lung Clinic, Cologne Merheim Hospital, Witten/Herdecke University, Germany. The local ethics committee ruled that no formal ethics approval was required in this particular case. Patients were included if they were already invasively ventilated via tracheostomy upon admission to the weaning unit and if they had at least one documented SBT whilst in the weaning unit. Orotracheally intubated patients were not included. All patients were admitted to the unit to identify and carry out the weaning process. They were either transferred to our weaning unit from an external hospital, from an external hospital via our own (=internal) ICU, from our internal ICU (after direct admission from the emergency department at our internal ICU), from the general ward, from a facility for long-term MV, or from the domestic setting if invasive home mechanical ventilation (HMV) had been established before.
Patients allocated to the simple and difficult weaning categories according to Boles et al. [1] were excluded from the study. If patients underwent weaning stints more than once during the observation period, only the first episode was analysed. Weaning was systematically performed according to the recommendations from the statement by Boles and colleagues [1] as well as to national guidelines on prolonged weaning [8]. Here, SBTs were performed using T-piece with successful SBT being defined according to the Boles criteria [1].
Patients were discharged from the weaning unit if weaning was successful or if weaning was suggested to be unsuccessful; here, unsuccessful weaning was established by the specialised treatment team including the senior physician.
Data analysis
The following data were assessed for each patient: demographic data; diagnosis at admission; most likely cause of respiratory failure according to medical history; pre-existing HMV and long-term oxygen therapy (LTOT); date of intubation; the first SBT/extubation or interruption to weaning; length of time between intubation and the first SBT (days); length of time between admission and the first SBT (days); duration of the first SBT (min), duration of weaning (days between the first SBT and extubation/weaning interruption); duration of hospital stay in the weaning unit (days); use of non-invasive ventilation (NIV) during weaning; arterialized blood gas analysis (earlobe) at admission (arterialized partial pressure of carbon dioxide (PaCO2)), and before, and at the time of termination of the first SBT (=‘after the first SBT’); arterialized partial pressure of oxygen (PaO2), PaCO2, pH); and haemoglobin (g/dl) at the time of the first SBT; as well as base excess (BE) and standard bicarbonate (HCO3−) at admission. Patients were classified at the end of the weaning period into either successful weaning (with or without NIV) or unsuccessful weaning (death or discharge with invasive ventilation) categories according to Boles et al. [1].
Statistical analysis
The effects of the following factors on weaning success were analysed: age (continuous, change per 10 years); sex (male, female); number of known previous diseases at time of admission (continuous, change per 1 disease); coronary artery disease (yes, no); congestive heart failure (yes, no); leading cause of respiratory insufficiency (pneumonia, sepsis, COPD, other); long-term HMV prior to current weaning episode (yes, no); time between intubation and the first SBT (cut-off ≤ 14 days and > 14 days as well as ≤ 30 days and > 30 days); length of time between admission to the weaning unit and the first SBT (continuous, change per 1 day); duration of the first SBT (cut-off of ≤ 60 min vs. > 60 min); PaCO2 > 45 mmHg at admission (yes, no); PaCO2 before the first SBT (continuous, change per 10 mmHg); PaCO2 > 45 mmHg before the first SBT (yes, no); pH before the first SBT (continuous, change per 0.1 units); PaO2 before the first SBT (continuous, change per 10 mmHg); PaCO2 after the first SBT (continuous, change per 10 mmHg); pH after the first SBT (continuous, change per 0.1 units); and PaO2 after the first SBT (continuous, change per 10 mmHg). Categorisation of factors was pre-specified without looking at the data. For the descriptive analysis, continuous data were summarised by arithmetic mean, standard deviation, minimum, 25% quantile, median, 75% quantile, maximum, and the number of complete and missing observations. Categorical data were summarised using the total number of patients in each category, the number of missing values, and the relative frequencies, the latter of which were determined by dividing the number of patients in each category by the total number of patients with non-missing values.
The prognostic effect of the factors on weaning outcome was analysed with logistic regression models. Odds ratios with 95% confidence intervals were calculated, and the effects were tested using the Wald tests. The factors were first analysed separately in univariate analyses. Factors showing an effect with p < 0.05 in the univariate analyses were next analysed simultaneously using multiple logistic regression models. One multiple regression model only included baseline factors before the first SBT, whilst another multiple regression model included baseline factors before the first SBT, as well as factors measured after the first SBT simultaneously. All analyses were exploratory, without former sample size planning. No adjustment for multiple testing was performed. All p values should be interpreted in a descriptive sense. All analyses were performed with Statistical Analysis System (SAS 9.2).
Results
Figure 1 presents the CONSORT flow diagram summarising the patient enrolment/assessment procedure (online data supplement). A total of 124 patients were included the analysis.
Fig. 1.
CONSORT flow chart of assessed patient charts
The basic demographic data from the whole cohort were as follows: 41.1% (n = 51) were female; median age was 71 years (interquartile range (IQR) 62–78 years); median BMI was 25.7 kg/m2 (IQR 21.6–33.1 kg/m2); and median count of known diagnoses at the time of admission was 5 (IQR 4–6), with most of the known diagnoses at admission being related to the respiratory system (n = 118), followed by the cardiac system (n = 90). Concerning metabolic status, median BE was 8.2 mmol/l (IQR 4.8–11.7 mmol/l) and median HCO3− was 31.7 mmol/l (IQR 28.8–34.1 mmol/l).
Further baseline characteristics are presented in Table 1.
Table 1.
Baseline characteristics of the study cohort
| Factor | Weaning success n = 60 |
Weaning failure n = 64 |
|---|---|---|
| Smoking status, n (%) | ||
| Active smokers at hospital admission | 24 (60%) | 16 (40%) |
| Non-/ex-smokers | 18 (44%) | 23 (56%) |
| Missing | 18 | 25 |
| Transfer from ..., n (%) | ||
| External hospital | 24 (50%) | 24 (50%) |
| External hospital via internal ICU | 17 (74%) | 6 (26%) |
| Internal ICU | 16 (43%) | 21 (57%) |
| General ward | 1 (25%) | 3 (75%) |
| Facility for long-term MV | 0 (0%) | 2 (67%) |
| Domestic setting | 1 (11%) | 8 (89%) |
| LTOT prior to current weaning episode, n (%) | 2 (11%) | 17 (89%) |
Data are expressed as n (% according to weaning subgroup)
ICU intensive care unit, LTOT long-term oxygen therapy, MV mechanical ventilation
Most patients (N = 97; 78.2%) had undergone prolonged weaning after being intubated and tracheotomised during treatment for acute respiratory failure, without a history of long-term ventilation prior to ICU treatment. Eleven (8.9%) patients had been on long-term NIV prior to acute respiratory failure followed by tracheostomy and underwent subsequent prolonged weaning, whilst 16 patients (12.9%) had been on long-term invasive ventilation and were submitted for re-evaluation of weaning following weaning failure prior to submission. Time courses of the different steps within the weaning process are given in Table 2.
Table 2.
Time courses of the different steps within the weaning process
| Median | IQR | |
|---|---|---|
| Time between intubation and the first SBT (days) | 31 | 18–54 |
| Duration of the first SBT for successful weaning (min) | 60 | 30–120 |
| Duration of the first SBT for unsuccessful weaning (min) | 43 | 20–120 |
| Duration of weaning after the first SBT for successful weaning (days) | 18 | 10–26 |
| Duration of weaning after the first SBT for unsuccessful weaning (days) | 19 | 7–39 |
Weaning success rates at the time of hospital discharge were as follows: 48.4% were successfully weaned (n = 60), whereas 51.6% had not been successfully weaned by the time of discharge (n = 64).
Patient statuses at discharge as well as in-hospital mortality according to weaning outcome are shown in Table 3.
Table 3.
Patient statuses at discharge and in-hospital mortality
| Weaning success n = 60 |
Weaning failure n = 64 |
p value | |
|---|---|---|---|
| Therapeutic goal, n (%) | 0.013 | ||
| Limitation of therapy | 1 (11%) | 8 (89%) | |
| Withdrawal of therapy | 0 (0%) | 3 (100%) | |
| In-hospital mortality, n (%) | 5 (20%) | 20 (80%) | 0.001 |
| HMV at discharge, n (%) | 0.000 | ||
| No ventilation | 27 (100%) | 0 (0%) | |
| Invasive HMV | 0 (0%) | 44 (100%) | |
| Non-invasive HMV | 28 (100%) | 0 (0%) |
HMV home mechanical ventilation
Univariate analysis
Patient characteristics, leading cause of respiratory failure, and the type of long-term ventilation prior to the current weaning episode assessed as weaning predictors are presented in Table 4.
Table 4.
Assessment of patient characteristics, leading cause of respiratory failure, and long-term ventilation history as weaning predictors
| Factor | Weaning success n = 60 |
Weaning failure n = 64 |
OR [95% KI] | p value |
|---|---|---|---|---|
| Age (years) | ||||
| Mean ± SD | 68 ± 12 | 69 ± 12 | 0.94 [0.70, 1.28] | 0.71 |
| Median (IQR) | 69 (61–77) | 71 (62–78) | ||
| Min–max | 31–85 | 39–88 | ||
| Gender, n (%) | ||||
| Female | 28 (55%) | 23 (45%) | 1 | 0.23 |
| Male | 32 (44%) | 41 (56%) | 0.64 [0.31, 1.32] | |
| Leading cause of respiratory insufficiency, n (%) | ||||
| AECOPD | 22 (42%) | 30 (58%) | 1 | 0.38 |
| Pneumonia | 18 (62%) | 11 (38%) | 2.23 [0.88, 5.66] | |
| Sepsis | 8 (50%) | 8 (50%) | 1.36 [0.44, 4.20] | |
| Other | 12 (44%) | 15 (56%) | 1.09 [0.43, 2.79] | |
| Long-term HMV prior to current weaning episode, n (%) | ||||
| None | 56 (58%) | 41 (42%) | 1 | 0.0004 |
| Yes | 4 (15%) | 23 (85%) | 0.13 [0.04, 0.40] | |
Data are expressed as n (% according to weaning subgroup), mean ± SD, median (IQR), min–max, as well as missing data (missing)
ALI acute lung injury, ARDS acute respiratory distress syndrome, CHF congestive heart failure, AECOPD acute exacerbated chronic obstructive pulmonary disease, IQR interquartile range, HMV home mechanical ventilation, max maximum value, min minimum value, NIV non-invasive ventilation, SD standard deviation
There were no detectable effects of congestive heart failure (OR 1.10 [0.52, 2.34], p = 0.80) or coronary artery disease (OR 1.87 [0.87, 4.02], p = 0.11) on the probability of weaning success.
The mean length of time between intubation and the start of the weaning process is summarised with respect to the final weaning status in Table 5.
Table 5.
Length of time between intubation and the first spontaneous breathing trial summarised with respect to weaning outcome
| Factor | Weaning success n = 60 |
Weaning failure n = 64 |
OR [95% KI] | p value |
|---|---|---|---|---|
| Time (days) between intubation and 1st SBT | ||||
| Mean ± SD | 31 ± 26 | 192 ± 484 | ||
| Median (IQR) | 23 (17–36) | 40(19–89) | ||
| Min–max | 2–143 | 2–2730 | ||
| Missing | 1 | 1 | ||
| n (%) | ||||
| > 30 days | 21 (34%) | 41 (66%) | 1 | 0.001 |
| ≤ 30 days | 38 (63%) | 22 (37%) | 3.37 [1.60, 7.09] | |
Data are expressed as n (% according to the underlying weaning subgroup), mean ± SD (min–max), median (IQR) as well as missing data (missing)
IQR interquartile range, max maximum value, min minimal value, MV mechanical ventilation, SBT spontaneous breathing trial, SD standard deviation
Patients who needed less than 30 days had a higher rate of weaning success, but no effect of ‘time between intubation and the first SBT’ was shown when a cut-off of 14 days was used (OR 0.60 [0.23, 1.58], p = 0.30). Similarly, there was no effect of ‘time between weaning unit admission and the first SBT’ on weaning success (OR 1.00 [0.83, 1.22], p = 0.98).
The median duration of the first SBT was 60 min (IQR 30–120) in successfully weaned patients compared to 43 min (IQR 20–120) in unsuccessfully weaned patients. Accordingly, the univariate analysis showed no difference with regard to the weaning success between patients with a shorter vs. longer duration of the first SBT (cut-off ≤ 60 min vs. > 60 min; OR 0.74 [0.36, 1.55], p = 0.43).
Table 6 contains the blood gas analysis during the SBT. These values demonstrate an impact on the weaning success rate of PaCO2 prior to, and at the end of, the first SBT, and of pH values at the end of the first SBT. In contrast, pH values prior to the first SBT, PaO2 values prior to the first SBT, and PaO2 values at the end of the first SBT did not show an effect on weaning when a significance level of 0.05 was set.
Table 6.
Blood gas analysis during the SBT
| Factor | Weaning success n = 60 |
Weaning failure n = 64 |
OR [95% KI] | p value |
|---|---|---|---|---|
| PaCO2 > 45 mmHg at admission, n (%) | ||||
| No | 35 (53%) | 31 (47%) | 1 | 0.23 |
| Yes | 24 (42%) | 33 (58%) | 0.64 [0.32, 1.32] | |
| Missing | 1 | 0 | ||
| PaCO2 prior to the first SBT (mmHg) | ||||
| Mean ± SD | 40 ± 7 | 45 ± 14 | 0.61 [0.41, 0.93] | 0.021 |
| Median (IQR) | 40 (36–43) | 44 (36–54) | ||
| Min–max | 18–59 | 23–115 | ||
| Missing | 1 | 1 | ||
| PaCO2 > 45 mmHg prior to the first SBT, n (%) | ||||
| No | 50 (56%) | 39 (44%) | 1 | 0.006 |
| Yes | 9 (27%) | 24 (73%) | 0.29 [0.12, 0.70] | |
| PaCO2 after the first SBT (mmHg) | ||||
| Mean ± SD | 45 ± 9 | 55 ± 12 | 0.40 [0.26, 0.62] | < 0.0001 |
| Median (IQR) | 43 (39–48) | 54 (47–63) | ||
| Min–max | 32–81 | 29–89 | ||
| Missing | 2 | 10 | ||
| pH values after the first SBT | ||||
| Mean ± SD | 7.46 ± 0.05 | 7.41 ± 0.09 | 3.23 [1.66, 6.31] | 0.0006 |
| Median (IQR) | 7.46 (7.44–7.49) | 7.42 (7.36–7.46) | ||
| Min–max | 7.36–7.56 | 7.19–7.67 | ||
| Missing | 3 | 10 | ||
| pH values prior to the first SBT | ||||
| Mean ± SD | 7.50 ± 0.06 | 7.49 ± 0.09 | 1.15 [0.71, 1.86] | 0.58 |
| Median (IQR) | 7.49 (7.46–7.54) | 7.49 (7.42–7.56) | ||
| Min–max | 7.40–7.68 | 7.26–7.68 | ||
| Missing | 1 | 1 | ||
| PaO2 prior to the first SBT (mmHg) | ||||
| Mean ± SD | 74 ± 19 | 80 ± 30 | 0.91 [0.78, 1.06] | 0.22 |
| Median (IQR) | 75 (61–87) | 72 (60–97) | ||
| Min–max | 34–115 | 37–169 | ||
| Missing | 3 | 5 | ||
| PaO2 values at the end of the first SBT | ||||
| Mean ± SD | 71 ± 24 | 85 ± 41 | 0.88 [0.77, 1.00] | 0.056 |
| Median (IQR) | 65 (52–79) | 70 (62–97) | ||
| Min–max | 42–139 | 32–231 | ||
| Missing | 6 | 13 | ||
Data are expressed as n % according to the underlying weaning subgroup), mean ± SD (min–max), median (IQR) as well as missing data (missing)
IQR interquartile range, max maximum value, min minimal value, PaCO2 arterial partial pressure of carbon dioxide, PaO2 arterial partial pressure of oxygen, SD standard deviation
Multivariate analysis
Multivariate analysis of baseline factors for weaning success vs. failure revealed that the likelihood of successful weaning was increased when there was an absence of HMV (either invasive or non-invasive) prior to admission (p = 0.015), an intubation period of ≤ 30 days (p = 0.006), and a PaCO2 value < 45 mmHg prior to the first SBT (p = 0.011) (Fig. 2).
Fig. 2.
Multivariate analysis of baseline factors for weaning success vs. failure. PaCO2 = partial pressure of carbon dioxide, SBT = spontaneous breathing trial
A joint analysis of baseline factors and post-first SBT factors demonstrated that a lower PaCO2 value after the first SBT rather than before was more important for weaning success. A lower PaCO2 value after the first SBT (change per 10 mmHg decrease) increased the likelihood of weaning success vs. failure (p = 0.021), whereas PaCO2 levels prior to the first SBT had no effect when PaCO2 was included in the analysis, as illustrated in Fig. 3.
Fig. 3.
Joint multivariate analysis of baseline factors and post-first SBT factors. PaCO2 = partial pressure of carbon dioxide, SBT = spontaneous breathing trial
Discussion
This is the first study to evaluate candidate parameters as outcome predictors of weaning in patients undergoing prolonged weaning (as defined by international consensus criteria [1]) from invasive mechanical ventilation via tracheal cannulae. The main findings were that the following factors are predictive of successful weaning: (1) absence of home mechanical ventilation prior to admission, (2) maximum duration of 30 days between intubation and the first SBT, and (3) a non-hypercapnic PaCO2 value at the end of the first SBT.
It is well established that weaning failure is associated with respiratory insufficiency type II [9–11]. Recent trials suggest that non-invasive detection of diaphragmatic dysfunction via ultrasound in patients undergoing a difficult or prolonged weaning process may predict weaning failure [12]. This also reportedly holds true for a longer stay on the intensive care unit [13]. Therefore, it appears plausible that patients who also present with clinical evidence for respiratory insufficiency type II have a higher risk of weaning failure than patients without clinical evidence for respiratory insufficiency type II. Most importantly, this pertains to patients who had pre-existing HMV therapy, since these patients were already treated for respiratory insufficiency type II prior to acute respiratory failure. Here, low PaCO2 values would hint at a sufficient respiratory pump function. The current data further supports that pre-existing HMV is an independent risk factor for unsuccessful weaning, apart from time of intubation until beginning of weaning. Furthermore, it is known that prolonged mechanical ventilation can lead to diaphragmatic atrophy and contractile dysfunction—known as ventilator-induced diaphragmatic dysfunction [14–16]—and that these changes are related to the duration of mechanical ventilation [15]. Moreover, long-term mechanical ventilation is associated with a higher rate of morbidity and mortality [17]. Taken together, these aspects support our observation that a shorter time period between intubation and the first SBT is in favour of a successful weaning outcome.
Prolonged mechanical ventilation can range from 14 [7] to 21 [18] days, according to different definitions. Based on this, two different time periods occurring between intubation and the first SBT (cut-off of 14 and 30 days) were chosen for analysis in the current study. It was found that mechanical ventilation was associated with a higher rate of weaning success in patients who underwent shorter periods of mechanical ventilation, albeit only when the cut-off was set at 30 days. This is likely explained by the fact that patients did not begin the weaning process during the first 14 days because during this time, it was mainly necessary to treat acute respiratory failure due to the severity of the underlying disease. This is also supported by a study showing that patients who were admitted to a respiratory ICU in 2005 generally were more severely ill than they used to compared in 1991 and that the clinical outcome of these patients has worsened over this time period [19].
Invasive HMV is of great socio-economic burden. In addition, recent trials have demonstrated that health-related quality of life can be severely impaired in patients receiving invasive HMV following weaning failure [20, 21]. As shown by the current trial, the duration of invasive mechanical ventilation predicts weaning success. Therefore, ICU medicine should focus on avoiding prolonged mechanical ventilation and subsequent prolonged weaning. This requires modern treatment strategies including extra-corporal CO2-removal aimed at avoiding intubation or at reducing the duration of invasive mechanical ventilation [22]. Furthermore, end-of-life decision making is also suggested to be important with regard to this discussion [8].
There are some limitations of the study which need to be addressed. Firstly, the study was retrospectively designed without sample size pre-planning; therefore, all results have to be interpreted in an exploratory context and require further prospective evaluation. Secondly, this is a single-centre study that only included tracheotomised (but not intubated) patients who were primarily non-surgical patients with underlying respiratory diseases. Therefore, the current analysis is only valid for this particular patient group and should be interpreted carefully if transferred to other patient groups undergoing prolonged weaning.
Conclusions
In conclusion, this retrospective study revealed that in patients with prolonged weaning, successful weaning was associated with the absence of home mechanical ventilation established prior to acute respiratory failure, with a shorter period of mechanical ventilation, and lower PaCO2 values after the first SBT. Therefore, the current analysis supports the notion that respiratory insufficiency type II that is defined by clinical findings is predictive of weaning failure.
Acknowledgements
All participants are acknowledged for the effort they devoted to this study and Dr. Sandra Dieni for the helpful comments on the manuscript.
Funding
The Cologne study group (F.S.M., H.B., S.E.H., S.B.S., J.C., J.H.S., and W.W.) received an open research grant from Weinmann/Germany, Vivisol/Germany, Heinen und Löwenstein/Germany and VitalAire/Germany.
Availability of data and materials
The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.
Abbreviations
- AECOPD
Acute exacerbated chronic obstructive pulmonary disease
- ALI
Acute lung injury
- ARDS
Acute respiratory distress syndrome
- CHF
Congestive heart failure
- CI
Confidence interval
- HMV
Home mechanical ventilation
- ICU
Intensive care unit
- IQR
Interquartile range
- LTOT
Long-term oxygen therapy
- Max
Maximum value
- Min
Minimum value
- OR
Odds ratio
- PaCO2
Arterialized partial pressure of carbon dioxide
- PaO2
Arterialized partial pressure of oxygen
- SD
Standard deviation
Authors’ contributions
FSM performed the literature search and data collection and worked on the study design, analysis of the data, and manuscript preparation. HB’s contributions were as follows: literature search, data collection, working on study design, analysis of the data, and manuscript preparation. SEH performed the literature search and data collection and contributed to the study design and analysis of the data. JC and SBS worked on the study design and manuscript preparation. CS worked on the study design, analysis of the data, and manuscript preparation. WW contributed to the study design, data collection, analysis of the data, and manuscript preparation. JHS performed the literature search and worked on the study design, analysis of the data, and manuscript preparation. All authors read and approved the final manuscript.
Ethics approval and consent to participate
The local ethics committee ruled that no formal ethics approval was required in this particular case due to its retrospective design (ethics committee of Ärztekammer Nordrhein, Düsseldorf, Germany).
Consent for publication
Not applicable
Competing interests
All authors state that none of the discussed issues in the present article were dependent on or influenced by financial support or funding. F.S.M., S.E.H., J.C., J.H.S., and S.B.S. received personal travel grants from companies dealing with Home mechanical ventilation. W.W. and J.H.S. received speaking fees from companies dealing with home mechanical ventilation. C.S. had no conflict of interests.
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Contributor Information
Friederike Sophie Magnet, Email: magnetf@kliniken-koeln.de.
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References
- 1.Boles JM, Bion J, Connors A, Herridge M, Marsh B, Melot C, Pearl R, Silverman H, Stanchina M, Vieillard-Baron A, et al. Weaning from mechanical ventilation. Eur Respir J. 2007;29(5):1033–1056. doi: 10.1183/09031936.00010206. [DOI] [PubMed] [Google Scholar]
- 2.Funk GC, Anders S, Breyer MK, Burghuber OC, Edelmann G, Heindl W, Hinterholzer G, Kohansal R, Schuster R, Schwarzmaier-D'Assie A, et al. Incidence and outcome of weaning from mechanical ventilation according to new categories. Eur Respir J. 2010;35(1):88–94. doi: 10.1183/09031936.00056909. [DOI] [PubMed] [Google Scholar]
- 3.Penuelas O, Frutos-Vivar F, Fernandez C, Anzueto A, Epstein SK, Apezteguia C, Gonzalez M, Nin N, Raymondos K, Tomicic V, et al. Characteristics and outcomes of ventilated patients according to time to liberation from mechanical ventilation. Am J Respir Crit Care Med. 2011;184(4):430–437. doi: 10.1164/rccm.201011-1887OC. [DOI] [PubMed] [Google Scholar]
- 4.Sellares J, Ferrer M, Cano E, Loureiro H, Valencia M, Torres A. Predictors of prolonged weaning and survival during ventilator weaning in a respiratory ICU. Intensive Care Med. 2011;37(5):775–784. doi: 10.1007/s00134-011-2179-3. [DOI] [PubMed] [Google Scholar]
- 5.Tonnelier A, Tonnelier JM, Nowak E, Gut-Gobert C, Prat G, Renault A, Boles JM, L'Her E. Clinical relevance of classification according to weaning difficulty. Respir Care. 2011;56(5):583–590. doi: 10.4187/respcare.00842. [DOI] [PubMed] [Google Scholar]
- 6.Beduneau G, Pham T, Schortgen F, Piquilloud L, Zogheib E, Jonas M, Grelon F, Runge I, Nicolas T, Grange S, et al. Epidemiology of weaning outcome according to a new definition. The WIND Study. Am J Respir Crit Care Med. 2017;195(6):772–783. doi: 10.1164/rccm.201602-0320OC. [DOI] [PubMed] [Google Scholar]
- 7.Schonhofer B, Euteneuer S, Nava S, Suchi S, Kohler D. Survival of mechanically ventilated patients admitted to a specialised weaning centre. Intensive Care Med. 2002;28(7):908–916. doi: 10.1007/s00134-002-1287-5. [DOI] [PubMed] [Google Scholar]
- 8.Schonhofer B, Geiseler J, Dellweg D, Moerer O, Barchfeld T, Fuchs H, Karg O, Rosseau S, Sitter H, Weber-Carstens S, et al. S2k-Guideline “Prolonged Weaning”. Pneumologie. 2015;69(10):595–607. doi: 10.1055/s-0034-1392809. [DOI] [PubMed] [Google Scholar]
- 9.Carlucci A, Ceriana P, Prinianakis G, Fanfulla F, Colombo R, Nava S. Determinants of weaning success in patients with prolonged mechanical ventilation. Crit Care. 2009;13(3):R97. doi: 10.1186/cc7927. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Jubran A, Tobin MJ. Pathophysiologic basis of acute respiratory distress in patients who fail a trial of weaning from mechanical ventilation. Am J Respir Crit Care Med. 1997;155(3):906–915. doi: 10.1164/ajrccm.155.3.9117025. [DOI] [PubMed] [Google Scholar]
- 11.Brochard L, Thille AW. What is the proper approach to liberating the weak from mechanical ventilation? Crit Care Med. 2009;37(10 Suppl):S410–S415. doi: 10.1097/CCM.0b013e3181b6e28b. [DOI] [PubMed] [Google Scholar]
- 12.Flevari A, Lignos M, Konstantonis D, Armaganidis A. Diaphragmatic ultrasonography as an adjunct predictor tool of weaning success in patients with difficult and prolonged weaning. Minerva Anestesiol. 2016;82(11):1149–1157. [PubMed] [Google Scholar]
- 13.Lu Z, Xu Q, Yuan Y, Zhang G, Guo F, Ge H. Diaphragmatic dysfunction is characterized by increased duration of mechanical ventilation in subjects with prolonged weaning. Respir Care. 2016;61(10):1316–1322. doi: 10.4187/respcare.04746. [DOI] [PubMed] [Google Scholar]
- 14.Powers SK, Kavazis AN, Levine S. Prolonged mechanical ventilation alters diaphragmatic structure and function. Crit Care Med. 2009;37(10 Suppl):S347–S353. doi: 10.1097/CCM.0b013e3181b6e760. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 15.Jaber S, Jung B, Matecki S, Petrof BJ. Clinical review: ventilator-induced diaphragmatic dysfunction--human studies confirm animal model findings! Crit Care. 2011;15(2):206. doi: 10.1186/cc10023. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 16.Levine S, Nguyen T, Taylor N, Friscia ME, Budak MT, Rothenberg P, Zhu J, Sachdeva R, Sonnad S, Kaiser LR, et al. Rapid disuse atrophy of diaphragm fibers in mechanically ventilated humans. N Engl J Med. 2008;358(13):1327–1335. doi: 10.1056/NEJMoa070447. [DOI] [PubMed] [Google Scholar]
- 17.Cox CE, Carson SS. Medical and economic implications of prolonged mechanical ventilation and expedited post-acute care. Semin Respir Crit Care Med. 2012;33(4):357–361. doi: 10.1055/s-0032-1321985. [DOI] [PubMed] [Google Scholar]
- 18.Carson SS, Garrett J, Hanson LC, Lanier J, Govert J, Brake MC, Landucci DL, Cox CE, Carey TS. A prognostic model for one-year mortality in patients requiring prolonged mechanical ventilation. Crit Care Med. 2008;36(7):2061–2069. doi: 10.1097/CCM.0b013e31817b8925. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Marchese S, Lo Coco D, Lo Coco A. Outcome and attitudes toward home tracheostomy ventilation of consecutive patients: a 10-year experience. Respir Med. 2008;102(3):430–436. doi: 10.1016/j.rmed.2007.10.006. [DOI] [PubMed] [Google Scholar]
- 20.Huttmann SE, Magnet FS, Karagiannidis C, Storre JH, Windisch W. Quality of life and life satisfaction are severely impaired in patients with long-term invasive ventilation following ICU treatment and unsuccessful weaning. Ann Intensive Care. 2018;8(1):38. doi: 10.1186/s13613-018-0384-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Huttmann SE, Windisch W, Storre JH. Invasive home mechanical ventilation: living conditions and health-related quality of life. Respiration. 2015;89(4):312–321. doi: 10.1159/000375169. [DOI] [PubMed] [Google Scholar]
- 22.Taccone FS, Malfertheiner MV, Ferrari F, Di Nardo M, Swol J, Broman LM, Vercaemst L, Barrett N, Pappalardo F, Belohlavek J et al: Extracorporeal CO2 removal in critically ill patients: a systematic review. Minerva Anestesiol 2017, 83(7):762–772. [DOI] [PubMed]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The datasets used and/or analysed during the current study are available from the corresponding author on reasonable request.