Abstract
Introduction
Preoperative functional capacity is considered an important risk factor for cardiovascular and other complications of major non-cardiac surgery. Nonetheless, the usual approach for estimating preoperative functional capacity, namely doctors’ subjective assessment, may not accurately predict postoperative morbidity or mortality. 3 possible alternatives are cardiopulmonary exercise testing; the Duke Activity Status Index, a standardised questionnaire for estimating functional capacity; and the serum concentration of N-terminal pro-B-type natriuretic peptide (NT pro-BNP), a biomarker for heart failure and cardiac ischaemia.
Methods and analysis
The Measurement of Exercise Tolerance before Surgery (METS) Study is a multicentre prospective cohort study of patients undergoing major elective non-cardiac surgery at 25 participating study sites in Australia, Canada, New Zealand and the UK. We aim to recruit 1723 participants. Prior to surgery, participants undergo symptom-limited cardiopulmonary exercise testing on a cycle ergometer, complete the Duke Activity Status Index questionnaire, undergo blood sampling to measure serum NT pro-BNP concentration and have their functional capacity subjectively assessed by their responsible doctors. Participants are followed for 1 year after surgery to assess vital status, postoperative complications and general health utilities. The primary outcome is all-cause death or non-fatal myocardial infarction within 30 days after surgery, and the secondary outcome is all-cause death within 1 year after surgery. Both receiver-operating-characteristic curve methods and risk reclassification table methods will be used to compare the prognostic accuracy of preoperative subjective assessment, peak oxygen consumption during cardiopulmonary exercise testing, Duke Activity Status Index scores and serum NT pro-BNP concentration.
Ethics and dissemination
The METS Study has received research ethics board approval at all sites. Participant recruitment began in March 2013, and 1-year follow-up is expected to finish in 2016. Publication of the results of the METS Study is anticipated to occur in 2017.
Keywords: Preoperative assessment, Cardiopulmonary exercise testing, Risk prediction, Postoperative complications, Natriuretic peptides
Strengths and limitations of this study.
A large generalisable sample of 1723 participants at multiple centres worldwide will be used to estimate the prognostic accuracy of cardiopulmonary exercise testing, the Duke Activity Status Index and the serum concentration of N-terminal pro-B-type natriuretic peptide.
The study involves detailed prospective follow-up after surgery to ascertain survival, major complications and general health utilities.
Participants, healthcare personnel and outcome adjudicators are blinded to cardiopulmonary exercise testing results, Duke Activity Status Index scores and serum N-terminal pro-B-type natriuretic peptide concentration, thereby facilitating unbiased estimates of their prognostic accuracy.
An important potential limitation is selection bias introduced by individuals who meet eligibility criteria, are theoretically capable of exercising, but decline to participate in a research study of exercise testing. Such non-participants may be systematically different due to possible higher likelihood of having other markers of poor health (eg, smoking).
Introduction
More than 300 million individuals undergo major surgery worldwide every year, and many are at risk for postoperative cardiovascular complications.1 2 Clinical practice guidelines recommend preoperative risk stratification as a component of any strategy to prevent these complications.3 Risk-stratification algorithms proposed by several international guidelines emphasise the assessment of preoperative fitness or functional capacity.3 4 For example, the current American College of Cardiology and American Heart Association guidelines recommend that patients be allowed to proceed directly to elective major non-cardiac surgery if they are deemed capable of more than four metabolic equivalents of activity without symptoms.3 Preoperative functional capacity is also a versatile measure of perioperative risk since it may stratify risk for non-cardiovascular complications such as pneumonia, respiratory failure and infection.5–9
The current standard of care for assessing preoperative functional capacity involves a doctor making a subjective estimate after interviewing the patient. Previous studies highlight potential limitations with this approach, including poor accuracy when predicting death or complications after non-cardiac surgery,10 11 as well as poor agreement with validated measures of functional capacity.12 These limitations point to the need for more accurate alternatives to assess preoperative functional capacity and, in turn, surgical outcomes. Three potential options are cardiopulmonary exercise testing (CPET), which is often considered to be the ‘gold standard’ non-invasive assessment of functional capacity; the Duke Activity Status Index (DASI),13 which is a standardised questionnaire with demonstrated correlation to gold standard measures of functional capacity; and the serum concentration of N-terminal pro-B-type natriuretic peptide (NT pro-BNP), which is biomarker for heart failure or cardiac ischaemia.
CPET requires patients to undergo symptom-limited incremental exercise on a bicycle or treadmill for 8–12 min while undergoing continuous spirometry. Indices of cardiorespiratory performance are simultaneously measured, with the most common being peak oxygen consumption (VO2 peak) and anaerobic threshold (AT). Recent systematic reviews and individual studies largely support preoperative CPET as a predictor of complications after surgery,14–16 but acknowledge important limitations. For example, many prior studies have important methodological problems. Specifically, very few studies blinded caregivers or outcome adjudicators to CPET results,17–19 thereby potentially biasing estimates of prognostic accuracy in the vast majority of previous studies.20 In addition, many studies have limited generalisability due to small sample sizes and single-centre designs. Thus, despite the theoretical promise of CPET in the perioperative setting, higher quality evidence remains needed to confirm its prognostic accuracy, identify patients who warrant this expensive and specialised test, and provide a robust argument for its wider implementation.
The DASI is a 12-item self-administered questionnaire enquiring about activities of daily living. It has construct and criterion validity as a measure of functional capacity in surgical patients.21 22 No large study has evaluated the prognostic accuracy of a preoperative DASI score for predicting outcomes after surgery.
While no blood test can quantify functional capacity, serum concentration of NT pro-BNP may indirectly fulfil this role by serving as an integrated marker of cardiac dysfunction, including myocardial stretch and ischaemia.23 24 Emerging data, which include several individual studies from our group as well as meta-analyses,25–29 have found preoperative NT pro-BNP concentrations to have reasonable prognostic accuracy in predicting death and cardiac complications after non-cardiac surgery.
To help develop improved methods to measure preoperative functional capacity and incorporate it into overall surgical risk assessment, we are conducting the Measurement of Exercise Tolerance before Surgery (METS) Study. The main objectives of this multicentre prospective cohort study are presented below.
Primary objective
To compare preoperative CPET to subjective assessment for predicting death or non-fatal myocardial infarction (MI) within 30 days after major elective non-cardiac surgery.
Secondary objectives
To compare CPET to subjective assessment for predicting death within 1 year after major elective non-cardiac surgery.
To compare preoperative DASI, NT pro-BNP, CPET and subjective assessment for predicting death or non-fatal MI within 30 days after non-cardiac surgery.
To compare preoperative DASI, NT pro-BNP, CPET and subjective assessment for predicting death within 1 year after major elective non-cardiac surgery.
Methods and analysis
Study design
The METS Study is a multinational prospective cohort study of 1723 patients undergoing major elective non-cardiac surgery at participating centres in Australia, Canada, New Zealand and the UK. The overall study design is outlined in figure 1.
Participant eligibility criteria
Potential participants are recruited from the preoperative assessment clinics or surgical wards of participating sites. To be eligible to participate in the METS Study, individuals must be aged 40 years or older, and scheduled to undergo elective non-cardiac surgery under general and/or regional anaesthesia with a minimum of an overnight hospital stay for medical reasons. In addition, they must have one or more clinical risk factors for perioperative cardiac complications or coronary artery disease (table 1). Exclusion criteria are presented on box 1 and table 2. All participants provide informed consent at time of recruitment to the study.
Table 1.
Risk factor | Definition |
---|---|
Intermediate-to-high risk surgery | Intraperitoneal, intrathoracic or major vascular (suprainguinal or lower extremity vascular) procedures |
Coronary artery disease | History of angina; myocardial infarction; positive exercise, nuclear or echocardiographic stress test; resting wall motion abnormalities on echocardiogram; coronary angiography with evidence of ≥50% vessel stenosis; or ECG with pathological Q-waves in two contiguous leads |
Heart failure | History of heart failure or diagnostic chest X-ray (ie, pulmonary vascular redistribution or pulmonary oedema) |
Cerebrovascular disease | History of stroke or transient ischaemic attack; or imaging (CT or MRI) evidence of previous stroke |
Diabetes mellitus | Requirement for insulin or oral hypoglycaemic therapy |
Preoperative renal insufficiency | Requirement for renal replacement therapy before surgery, or estimated glomerular filtration rate† less than 60 mL/min/1.73 m2 |
Peripheral arterial disease | History of peripheral arterial disease; ischaemic intermittent claudication; rest pain; lower limb revascularisation procedure; peripheral arterial obstruction of ≥50% luminal diameter; or resting ankle/arm systolic blood pressure ratio ≤0.90 |
Hypertension | Physician diagnosis of hypertension |
Smoker | History of smoking within 1 year before surgery |
Advanced age | 70 years or older |
*One or more of these risk factors must be present to meet the study eligibility criteria.
†Estimated using the MDRD Study equation.58
MDRD, Modification of Diet in Renal Disease; METS, Measurement of Exercise Tolerance before Surgery.
Box 1. Exclusion criteria for the Measurement of Exercise Tolerance before Surgery (METS) Study.
At the time of approach for potential recruitment to study, inadequate time to feasible complete cardiopulmonary exercise testing (CPET) before surgery (defined as less than 24 h)
Planned use of CPET for preoperative risk stratification independent of METS study protocol
Planned surgery exclusively performed by an endovascular approach (eg, endovascular aortic aneurysm repair)
Presence of an automated implantable cardioverter-defibrillator
Known or suspected pregnancy
Previous enrolment in the METS Study
Active cardiac conditions,59 absolute contraindications to CPET (American Thoracic Society and American College of Chest Physicians guidelines)30 and conditions expected to preclude CPET (eg, lower limb amputation, severe claudication)
Systolic blood pressure ≥180 mm Hg and diastolic blood pressure ≥100 mm Hg at the time of potential study recruitment
Table 2.
Active cardiac conditions59 | Acute coronary syndrome: myocardial infarction within prior 30 days, unstable angina, or severe angina (Canadian Cardiovascular Society class III or IV) |
Decompensated heart failure (New York Heart Association functional Class IV), new onset heart failure, or worsening heart failure | |
Significant arrhythmias: atrioventricular heart block (high grade, Mobitz II, third-degree); symptomatic ventricular arrhythmias; supraventricular arrhythmias with uncontrolled ventricular rate (ie, >100 bpm at rest); symptomatic bradycardia; or newly recognised ventricular tachycardia | |
Severe valvular disease: severe aortic stenosis (mean pressure gradient >40 mm Hg, aortic valve area <1.0 cm2 or symptomatic aortic stenosis); or symptomatic mitral stenosis (progressive dyspnoea on exertion, exertional presyncope or heart failure) | |
Absolute contraindications to CPET30 | Recent acute myocardial infarction (3–5 days) or unstable angina |
Uncontrolled arrhythmias causing symptoms or haemodynamic compromise | |
Syncope | |
Active endocarditis | |
Acute myocarditis or pericarditis | |
Symptomatic severe aortic stenosis | |
Uncontrolled heart failure or pulmonary oedema | |
Acute pulmonary embolus or pulmonary infarction | |
Thrombosis of lower extremities | |
Suspected dissecting aneurysm | |
Uncontrolled asthma or respiratory failure | |
Oxygen saturation at rest less than 85% | |
Acute non-cardiopulmonary disorder that may affect exercise performance or be aggravated by exercise (ie, infection, renal failure, thyrotoxicosis) | |
Mental impairment leading to inability to cooperate |
CPET, cardiopulmonary exercise testing; METS, Measurement of Exercise Tolerance before Surgery.
Preoperative cardiopulmonary exercise testing
During the period from study recruitment to 1 day before surgery, participants undergo symptom-limited incremental CPET on a computer-controlled, electromagnetically braked cycle ergometer, under physician supervision and in accordance with published guidelines.30 Prior to CPET, each participant performs spirometry with forced inspiratory and expiratory flow volume loops. The subsequent incremental exercise test takes 8–12 min to complete. It follows a preliminary 3 min resting period, during which the participant sits on the cycle ergometer while cardiovascular and respiratory measurements are taken, and 3 min of unloaded cycling (0 W) that serves a warm up. At testing sites where the cycle ergometers cannot be set to 0 W, the unloaded cycling phase is set at the minimum workload possible on the local cycle ergometer. Pedalling resistance is then increased progressively every minute using a ramped protocol during which participants pedal at 60 revolutions per minute. Typically, work rates are increased by 10 W per minute in untrained individuals, and by up to 20–30 W per minute in well-trained participants or those that participate regularly in physical activity.
Participants exercise until they reach their limit of tolerance (ie, unable to pedal at 60 revolutions per minute despite encouragement), stop for non-cardiopulmonary reasons or are instructed to stop based on safety-based termination criteria.30 Reasons for termination are documented for all tests. Participants undergo breath-by-breath measurement of minute ventilation, oxygen uptake and carbon dioxide production from expired gas during the exercise test. In addition, heart rate, blood pressure, three-lead ECG, arterial oxygen saturation and rating of perceived exertion (modified Borg scale) are measured.31 After the exercise test is stopped, participants continue to pedal for a 5 min recovery period, during which the work intensity is reduced to 20 W. During this recovery period, monitoring of heart rate, blood pressure, ECG, oxygen consumption and carbon dioxide production is continued.
The site investigator at each participating CPET centre determines VO2 peak and AT using full-page graphs of the plotted local CPET data. The VO2 peak is defined as the average oxygen consumption during the last 20 s of the incremental phase of exercise before attaining the limit of tolerance.32 The AT is determined using the modified V-Slope method.33 If the AT is indeterminate based on this method alone, the ventilatory equivalent method and excess carbon dioxide method are applied sequentially until the AT is either measured or classified as indeterminate.33 Participants, clinicians and outcome adjudicators are blinded to all CPET results, except if myocardial ischaemia or significant new arrhythmias occur during exercise, or spirometry shows previously undiagnosed very severe obstructive lung disease (forced expiratory volume in 1 s less than 30% predicted). In these cases, clinicians are informed of these specific findings, but not the VO2 peak or AT values.
Other estimates of preoperative functional capacity
Each participant undergoes three other assessments of preoperative functional capacity. Subjective assessment of the participant's functional capacity is performed either by the attending doctor in the preoperative assessment clinic on the date of recruitment, or by the attending anaesthesiologist on the day of surgery. This estimate is categorised as poor (less than 4 metabolic equivalents), moderate (4–10 metabolic equivalents) or good (more than 10 metabolic equivalents). In addition, the DASI questionnaire is completed on the day of recruitment. At any point between study recruitment and initiation of surgery, a blood sample is drawn to measure the serum concentration of NT pro-BNP. These samples are initially stored at −70°C to −80°C in each study site, and then sent for analysis at the core study laboratory, the Clinical Biochemistry Laboratory at the Aberdeen Royal Infirmary (Aberdeen, UK). The NT pro-BNP samples are analysed in batches using the Siemens Vista immunoassay analyser (Siemens Healthcare Diagnostics Ltd, Frimley, UK). Clinicians and outcome adjudicators are blinded to DASI and NT pro-BNP results, while participants are blinded to NT pro-BNP results.
Follow-up procedures
Research personnel follow the study participants daily throughout their hospital stay. While participants remain in hospital, follow-up procedures includes performance of ECGs, the Postoperative Morbidity Survey34 35 and blood sampling to measure troponin and creatinine concentrations. The ECGs and blood sampling are performed daily for the first 3 days after surgery, while the Postoperative Morbidity Survey is administered on the third and fifth days after surgery. The specific troponin assays used are the preferred assays at each participating site. After hospital discharge, participants are contacted again at 30 days and 1 year after surgery to ascertain study-related outcomes, including vital status and health utilities measured by the EuroQol EQ-5D.36
Outcome measures
The primary outcome is all-cause death or non-fatal MI within 30 days after surgery. All potential MI events are centrally adjudicated based on consensus-based definitions (table 3) by an Outcome Adjudication Committee that is blinded to all CPET, DASI and NT pro-BNP results.37 The secondary outcome is all-cause death within 1 year after surgery. Postoperative follow-up also includes ascertainment of other clinical events (table 3) to help further explain any differing survival associated with preoperative functional capacity.
Table 3.
Outcome | Definition |
---|---|
Myocardial infarction37 | An elevation in serum troponin that both
|
Myocardial injury1 | An elevation in serum troponin that both
|
Non-fatal cardiac arrest1 | Successful resuscitation from documented (or presumed) ventricular fibrillation, sustained ventricular tachycardia, asystole, or pulseless electrical activity |
Heart failure1 | Presence of both
|
Stroke1 | New focal neurological deficit, suspected to vascular in origin, with signs/symptoms lasting ≥24 h |
Transient ischaemic attack | Transient focal neurological deficit that lasts less than 24 h and is thought to be vascular in origin |
Respiratory failure60 | Need for tracheal intubation and mechanical ventilation after patient has completed surgery, been successful extubated, and breathing spontaneously for >1 h |
Pneumonia1 | Documented hypoxaemia (PaO2/FiO2 ratio ≤250 mm Hg) or fever (temperature >37.5°C) with either:
|
Surgical site infection | Physician diagnosis of surgical site infection during:
|
Deep venous thrombosis1 | Any of the following during index hospitalisation:
|
Pulmonary embolism1 | Any of the following during index hospitalisation:
|
Significant bleeding | Blood loss with any of the following characteristics:
|
Postoperative complications* | Severity of complications are classified (based on most severe events during the index hospitalisation) as:
|
General health utilities36 | Measured at study recruitment, 30 days after surgery and 1 year after surgery using the EuroQol EQ-5D |
*Severity of complications are classified based on scheme adapted from Clavien-Dindo classification system.61
DVT, deep vein thrombosis; FiO2, fractional inspired oxygen; PaO2, arterial oxygen tension.
Statistical analysis
Since the METS Study compares several tests for predicting postoperative risk, the main statistical analyses will only include individuals who undergo their planned surgeries. Nonetheless, characteristics and outcomes of individuals who do not undergo their planned surgeries will still be captured and described separately. Two complementary analyses are planned to account for participants who are not able to exercise enough to provide a valid measurement of VO2 peak. Analyses will be performed only after completion of 1-year follow-up for all recruited participants.
The primary analysis includes individuals who successfully complete CPET by reaching their limit of tolerance with a valid measurement of VO2 peak. Two sets of logistic regression models will be used to separately model the risks of (1) 30-day non-fatal MI or death and (2) 1-year death. We will first include only baseline clinical data (ie, risk factors in the Revised Cardiac Risk Index),38 and then, in sequential fashion, add in subjective assessment, followed by VO2 peak to the model. The statistical significance of prognostic information from the additional predictors will be assessed based on the increase in log likelihood of the ‘larger’ model. We will also determine the area under the receiver-operating-characteristic (ROC) curve of models with successively more predictors, as well as models with only the individual exposure of interest (eg, subjective assessment alone, or VO2 peak alone).39 The difference in overall prognostic information between models will be assessed by comparing the area under the curve (AUC) of two ROC curves.40 We have based our sample size calculation on the AUC approach because it is commonly used in prognostic studies, and requires less speculative parameter estimates than other methods. Nonetheless, the test based on improvement in AUC may be relatively insensitive,41 with other methods offering more statistical power. We have therefore opted for a more conservative sample size calculation, but will use additional statistical approaches, including the logistic regression likelihood test and net reclassification improvement statistic,42 for further significance testing. These same methods will also be used to evaluate the additional prognostic information conveyed by DASI or NT pro-BNP.
The secondary analysis will include all participants who attempted CPET, regardless of whether a valid measurement of VO2 peak was obtained. For this analysis, CPET results will be categorised as (1) early termination for safety reasons, (2) early termination for non-cardiopulmonary reasons and (3) strata defined by the optimal VO2 peak cut-off points defined in the primary analysis. The same analytic approaches used in the primary analysis will then be repeated while instead expressing the results of CPET based on these categories.
Sample size calculation
The sample size calculation is based on comparing the AUC of ROC curves for CPET versus subjective assessment with respect to predicting 30-day non-fatal MI or death.39 40 Assuming an outcome event rate of 8%, a poor-to-moderate AUC of 0.65 for subjective assessment,11 43 a moderately good AUC of 0.75 for VO2 peak,43 and a conservative estimated correlation of 0.5 between VO2 peak and subjective assessment,13 22 a sample size of 1180 participants has 90% power to detect this clinically relevant difference in AUC values (two-sided α of 0.05). If the outcome event rate is instead 6%, this sample size has 81% power to detect the same difference. Based on studies that conducted systematic postoperative surveillance of intermediate-to-high risk patients undergoing non-cardiac surgery,1 44 45 we anticipate the rate of 30-day non-fatal MI or death to be 6–9%. This sample size of 1180 applies to the primary analysis, which is restricted to individuals who undergo their planned non-cardiac surgery and complete CPET with a valid measurement of VO2 peak. Thus, this analysis does not necessarily include all individuals who consent to participate in the METS Study. For example, it does not include individuals who cannot exercise sufficiently for a valid measurement of VO2 peak, or fail to attend their CPET session due to unexpected rescheduling of planned surgeries. To account for up to 10% of recruited participants not being eligible for inclusion in the primary analysis, the overall sample size was increased to 1312.
After recruiting half of the original planned sample size, this sample size calculation was re-evaluated based on two factors identified in the accumulating study data. First, we found that about 20% of participants did not either successfully complete CPET or undergo their planned surgeries. Second, the event rate for the primary outcome was approximately 5%. Based on this information, the overall sample size was increased to 1723 participants to account for up to 20% of recruited individuals not being eligible for the primary analysis, and a primary outcome event rate of 5%, while retaining the power of 80%. Importantly, no data on the principal exposures (ie, CPET results, DASI scores, NT pro-BNP concentration) were considered during this sample size re-estimation.
Study management and funding
The Applied Health Research Centre at St Michael's Hospital (Toronto, Ontario, Canada) is responsible for the overall international coordination of the METS Study. Two national coordinating centres also help liaise with local investigators in specific countries, namely the Royal London Hospital (London, UK) for the UK, and the Alfred Hospital (Melbourne, Victoria, Australia) for Australia and New Zealand. The study investigators participating in the METS Study, as well as their respective roles, are listed in the online supplementary data appendix. All study data are captured with electronic case record forms on a secure web-based database that was developed using Medidata RAVE (Medidata Solutions Inc, New York, New York, USA). The METS Study is funded by peer-reviewed grants from the Canadian Institutes of Health Research, Heart and Stroke Foundation of Canada, Ontario Ministry of Health and Long-Term Care, National Institute of Academic Anaesthesia, UK Clinical Research Network, Australian and New Zealand College of Anaesthetists, and Monash University (Melbourne, Victoria, Australia).
bmjopen-2015-010359supp.pdf (352.1KB, pdf)
Study status
Participant recruitment to the METS Study was started in March 2013. The study involves 25 participating centres in Australia, Canada, New Zealand and the UK. Completion of 1-year follow-up period is anticipated for late 2016.
Substudies
We have developed a formal process for investigators within the research group to propose, design and lead substudies based on the data collected from this large international cohort of patients undergoing major elective non-cardiac surgery. Three substudies have already been prespecified. The first substudy will evaluate the prognostic accuracy of AT as determined by site investigators at each participating CPET centre. The second substudy will evaluate the prognostic accuracy of VO2 peak and AT measurements that are centrally adjudicated by a panel of three CPET experts. These experts will remain blinded to initial assessments made by the local site investigators at each CPET centre. The third substudy will investigate the role of the 6 min walk test (6MWT) for assessing preoperative functional capacity and predicting postoperative outcome.46 This simple and inexpensive exercise test may help stratify surgical patients based on their performance on CPET.47 In a subset of study participants, we will assess the ability of the 6MWT to predict short-term postoperative quality of recovery,48 medium-to-long term disability after surgery,49 and performance on CPET.
Ethics and dissemination
The METS Study has received research ethics board approval at all participating sites. The study poses minimal additional risk to study participants. Specifically, all CPET assessments are performed under close medical supervision. In addition, prior data show CPET to be very safe, with major complications occurring in 8–13 per 100 000 tests, and death in 2–5 per 100 000 tests.30 It has an established role for assessing patients with cardiopulmonary disease,30 and can be performed safely in high-risk populations, such as individuals with pulmonary hypertension or small abdominal aortic aneurysms.50 51 While the primary results (ie, VO2 peak and AT) of each CPET assessment remain concealed until completion of the study, clinicians responsible for study participants are informed of other specific high-risk findings during exercise testing, such as myocardial ischaemia or significant new arrhythmias.
The results of the METS Study will be published in peer-reviewed journals, in addition to being presented at national and international conferences. We anticipate these results to be published in 2017, after completion of 1-year follow-up of all recruited participants. We will also liaise with representatives of relevant clinical practice guideline organisations to ensure that the study findings will help inform future recommendations for perioperative care.3 4
Conclusions
By defining the most accurate approaches for evaluating preoperative cardiopulmonary fitness, the results of the METS Study will help clinicians to better identify high-risk patients who would benefit from preoperative optimisation, interventions, haemodynamic management, closer postoperative surveillance or avoidance of surgery. Furthermore, once patients with poor functional capacity can be more accurately identified, opportunities will arise for randomised controlled trials of interventions to improve their outcomes, such as preoperative exercise training programmes,52 perioperative haemodynamic optimisation53 54 and enhanced postoperative care (eg, hospitalist-surgeon co-management models).55–57 Thus, the METS Study has the potential to substantially inform and improve the care of the millions of individuals who undergo major surgery worldwide every year.2
Acknowledgments
DNW is supported in part by a New Investigator Award from the Canadian Institutes of Health Research. DNW and BHC are supported in part by Merit Awards from the Department of Anesthesia at the University of Toronto. RMP is a British Journal of Anaesthesia/Royal College of Anaesthetists Career Development Fellow, and a UK National Institute for Health Research Professor. TEFA is a Medical Research Council and British Journal of Anaesthesia Clinical Research Training Fellow. MPWG holds the British Oxygen Company Chair of Anaesthesia of the Royal College of Anaesthetists, which is awarded by the UK National Institute of Academic Anaesthesia.
Footnotes
Collaborators: METS Study Investigators: S Wallace, B Thompson, M Ellis, B Borg, R Kerridge, J Douglas, J Brannan, J Pretto, MG Godsall, N Beauchamp, S Allen, A Kennedy, E Wright, J Malherbe, H Ismail, B Riedel, A Melville, H Sivakumar, A Murmane, K Kenchington, U Gurunathan, C Stonell, K Brunello, K Steele, O Tronstand, P Masel, A Dent, E Smith, A Bodger, M Abolfathi, P Sivalingam, A Hall, T Painter, A Elliott, AM Carrera, NCS Terblanche, S Pitt, J Samuels, C Wilde, M MacCormick, K Leslie, D Bramley, AM Southcott, J Grant, H Taylor, S Bates, M Towns, A Tippett, F Marshall, CD Mazer, J Kunasingam, A Yagnik, C Crescini, CJL McCartney, S Choi, P Somascanthan, K Flores, WS Beattie, K Karkouti, HA Clarke, A Jerath, SA McCluskey, M Wasowicz, L Day, J Pazmino-Canizares, P Oh, R Belliard, L Lee, K Dobson, V Chan, R Brull, N Ami, M Stanbrook, K Kagen, D Campbell, T Short, J Van Der Westhuizen, K Higgie, H Lindsay, R Jang, C Wong, D Mcallister, M Ali, J Kumar, E Waymouth, J Dimech, M Lorimer, R Sara, A Collingwood, S Olliff, S Gabriel, H Houston, P Dalley, S Hurford, A Hunt, L Andrews, L Navarra, A Jason-Smith, M Lum, D Martin, S James, M Phull, C Beilstein, P Bodger, K Everingham, Y Hu, E Niebrzegowska, C Corriea, T Creary, M Januszekska, T Ahmad, J Whalley, R Haslop, J McNeil, A Brown, N MacDonald, S Jhani, R Raobaikady, E Black, M Rooms, H Lawrence, S Jack, M Celinski, D Levett, M Edwards, K Salmon, C Bolger, L Loughney, L Seaward, H Collins, B Tyrell, N Tantony, K Golder, G Ackland, RCM Stephens, L Gagello-Paredes, A Raj, R Lifford, M Melo, M Mamdani, G Hillis, HC Wijeysundera.
Contributors: DNW, RMP, MAS, TEFA, BLC, JTG, KET, MPWG, PSM and BHC contributed to the conception and design of the study. DNW, RMP, MAS, TEFA, ET, BLC, JTG, KET, MPWG, CF, PSM and BHC contributed to the acquisition, analysis and interpretation of the data. DNW wrote the first draft of the protocol. DNW, RMP, MAS, TEFA, ET, BLC, JTG, KET, MPWG, CF, PSM and BHC revised the protocol critically for important intellectual content. DNW and BHC are the guarantors. All authors have read and approved the final version of the manuscript to be published.
Funding: This work was supported by the Canadian Institutes of Health Research (Operating Grant Application Number 258245), Heart and Stroke Foundation of Canada (Grant-in-Aid G-13-0001598), Ontario Ministry of Health and Long-Term Care, National Institute of Academic Anaesthesia, UK Clinical Research Network (UKCRN ID 14176), Australian and New Zealand College of Anaesthetists, and Monash University (Melbourne, Victoria, Australia).
Disclaimer: These sponsors had no role in the design and conduct of the METS Study; collection, management, analysis and interpretation of the data; preparation, review or approval of this protocol paper; and decision to submit this protocol manuscript for publication.
Competing interests: None declared.
Ethics approval: The METS Study was approved by the following research ethics boards: St. Michael's Hospital (Toronto, Ontario, Canada), University Health Network (Toronto, Ontario, Canada), Sunnybrook Health Sciences Centre (Toronto, Ontario, Canada), South East Coast—Surrey Research Ethics Committee (UK), The Alfred Ethics Committee (Melbourne, Victoria, Australia), Melbourne Health Human Research Ethics Committee: (Melbourne, Victoria, Australia), Peter MacCallum Cancer Centre Human Research Ethics Committee (Melbourne, Victoria, Australia), Central Adelaide Local Health Network (Adelaide, South Australia, Australia), Metro South Hospital and Health Service (Brisbane, Queensland, Australia), The Tasmanian Health and Medical Human Research Ethics Committee (Hobart, Tasmania, Australia), Hunter New England Research Ethics Committee (Newcastle, New South Wales, Australia), Northern B Health and Disability Ethics Committee (Wellington, New Zealand).
Provenance and peer review: Not commissioned; externally peer reviewed.
Contributor Information
Collaborators: S Wallace, B Thompson, M Ellis, B Borg, R Kerridge, J Douglas, J Brannan, J Pretto, MG Godsall, N Beauchamp, S Allen, A Kennedy, E Wright, J Malherbe, H Ismail, B Riedel, A Melville, H Sivakumar, A Murmane, K Kenchington, U Gurunathan, C Stonell, K Brunello, K Steele, O Tronstand, P Masel, A Dent, E Smith, A Bodger, M Abolfathi, P Sivalingam, A Hall, T Painter, A Elliott, AM Carrera, NCS Terblanche, S Pitt, J Samuels, C Wilde, M MacCormick, K Leslie, D Bramley, AM Southcott, J Grant, H Taylor, S Bates, M Towns, A Tippett, F Marshall, CD Mazer, J Kunasingam, A Yagnik, C Crescini, CJL McCartney, S Choi, P Somascanthan, K Flores, WS Beattie, K Karkouti, HA Clarke, A Jerath, SA McCluskey, M Wasowicz, L Day, J Pazmino-Canizares, P Oh, R Belliard, L Lee, K Dobson, V Chan, R Brull, N Ami, M Stanbrook, K Kagen, D Campbell, T Short, J Van Der Westhuizen, K Higgie, H Lindsay, R Jang, C Wong, D Mcallister, M Ali, J Kumar, E Waymouth, J Dimech, M Lorimer, R Sara, A Collingwood, S Olliff, S Gabriel, H Houston, P Dalley, S Hurford, A Hunt, L Andrews, L Navarra, A Jason-Smith, M Lum, D Martin, S James, M Phull, C Beilstein, P Bodger, K Everingham, Y Hu, E Niebrzegowska, C Corriea, T Creary, M Januszekska, T Ahmad, J Whalley, R Haslop, J McNeil, A Brown, N MacDonald, S Jhani, R Raobaikady, E Black, M Rooms, H Lawrence, S Jack, M Celinski, D Levett, M Edwards, K Salmon, C Bolger, L Loughney, L Seaward, H Collins, B Tyrell, N Tantony, K Golder, G Ackland, RCM Stephens, L Gagello-Paredes, A Raj, R Lifford, M Melo, M Mamdani, G Hillis, and HC Wijeysundera
References
- 1.Botto F, Alonso-Coello P, Chan MT et al. . Myocardial injury after noncardiac surgery: a large, international, prospective cohort study establishing diagnostic criteria, characteristics, predictors, and 30-day outcomes. Anesthesiology 2014;120:564–78. 10.1097/ALN.0000000000000113 [DOI] [PubMed] [Google Scholar]
- 2.Weiser TG, Haynes AB, Molina G et al. . Estimate of the global volume of surgery in 2012: an assessment supporting improved health outcomes. Lancet 2015;385(Suppl 2):S11 10.1016/S0140-6736(15)60806-6 [DOI] [PubMed] [Google Scholar]
- 3.Fleisher LA, Fleischmann KE, Auerbach AD et al. . 2014 ACC/AHA guideline on perioperative cardiovascular evaluation and management of patients undergoing noncardiac surgery: a report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines. Circulation 2014;130:e278–333. 10.1161/CIR.0000000000000106 [DOI] [PubMed] [Google Scholar]
- 4.Kristensen SD, Knuuti J, Saraste A et al. . 2014 ESC/ESA Guidelines on non-cardiac surgery: cardiovascular assessment and management. The Joint Task Force on non-cardiac surgery: cardiovascular assessment and management of the European Society of Cardiology (ESC) and the European Society of Anaesthesiology (ESA). Eur Heart J 2014;35:2383–431. [DOI] [PubMed] [Google Scholar]
- 5.Anderson DJ, Chen LF, Schmader KE et al. . Poor functional status as a risk factor for surgical site infection due to methicillin-resistant Staphylococcus aureus. Infect Control Hosp Epidemiol 2008;29:832–9. 10.1086/590124 [DOI] [PubMed] [Google Scholar]
- 6.Arozullah AM, Khuri SF, Henderson WG et al. . Development and validation of a multifactorial risk index for predicting postoperative pneumonia after major noncardiac surgery. Ann Intern Med 2001;135:847–57. 10.7326/0003-4819-135-10-200111200-00005 [DOI] [PubMed] [Google Scholar]
- 7.Arozullah AM, Daley J, Henderson WG et al. . Multifactorial risk index for predicting postoperative respiratory failure in men after major noncardiac surgery. Ann Surg 2000;232:242–53. 10.1097/00000658-200008000-00015 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Chen TY, Anderson DJ, Chopra T et al. . Poor functional status is an independent predictor of surgical site infections due to methicillin-resistant Staphylococcus aureus in older adults. J Am Geriatr Soc 2010;58:527–32. 10.1111/j.1532-5415.2010.02719.x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 9.Qaseem A, Snow V, Fitterman N et al. . Risk assessment for and strategies to reduce perioperative pulmonary complications for patients undergoing noncardiothoracic surgery: a guideline from the American College of Physicians. Ann Intern Med 2006;144:575–80. 10.7326/0003-4819-144-8-200604180-00008 [DOI] [PubMed] [Google Scholar]
- 10.Reilly DF, McNeely MJ, Doerner D et al. . Self-reported exercise tolerance and the risk of serious perioperative complications. Arch Intern Med 1999;159:2185–92. 10.1001/archinte.159.18.2185 [DOI] [PubMed] [Google Scholar]
- 11.Wiklund RA, Stein HD, Rosenbaum SH. Activities of daily living and cardiovascular complications following elective, noncardiac surgery. Yale J Biol Med 2001;74:75–87. [PMC free article] [PubMed] [Google Scholar]
- 12.Melon CC, Eshtiaghi P, Luksun WJ et al. . Validated questionnaire vs physicians’ judgment to estimate preoperative exercise capacity. JAMA Intern Med 2014;174:1507–8. 10.1001/jamainternmed.2014.2914 [DOI] [PubMed] [Google Scholar]
- 13.Hlatky MA, Boineau RE, Higginbotham MB et al. . A brief self-administered questionnaire to determine functional capacity (the Duke Activity Status Index). Am J Cardiol 1989;64:651–4. 10.1016/0002-9149(89)90496-7 [DOI] [PubMed] [Google Scholar]
- 14.James S, Jhanji S, Smith A et al. . Comparison of the prognostic accuracy of scoring systems, cardiopulmonary exercise testing, and plasma biomarkers: a single-centre observational pilot study. Br J Anaesth 2014;112:491–7. 10.1093/bja/aet346 [DOI] [PubMed] [Google Scholar]
- 15.Smith TB, Stonell C, Purkayastha S et al. . Cardiopulmonary exercise testing as a risk assessment method in non cardio-pulmonary surgery: a systematic review. Anaesthesia 2009;64:883–93. 10.1111/j.1365-2044.2009.05983.x [DOI] [PubMed] [Google Scholar]
- 16.Young EL, Karthikesalingam A, Huddart S et al. . A systematic review of the role of cardiopulmonary exercise testing in vascular surgery. Eur J Vasc Endovasc Surg 2012;44:64–71. 10.1016/j.ejvs.2012.03.022 [DOI] [PubMed] [Google Scholar]
- 17.Hightower CE, Riedel BJ, Feig BW et al. . A pilot study evaluating predictors of postoperative outcomes after major abdominal surgery: physiological capacity compared with the ASA physical status classification system. Br J Anaesth 2010;104:465–71. 10.1093/bja/aeq034 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Snowden CP, Prentis JM, Anderson HL et al. . Submaximal cardiopulmonary exercise testing predicts complications and hospital length of stay in patients undergoing major elective surgery. Ann Surg 2010;251:535–41. 10.1097/SLA.0b013e3181cf811d [DOI] [PubMed] [Google Scholar]
- 19.West MA, Lythgoe D, Barben CP et al. . Cardiopulmonary exercise variables are associated with postoperative morbidity after major colonic surgery: a prospective blinded observational study. Br J Anaesth 2014;112:665–71. 10.1093/bja/aet408 [DOI] [PubMed] [Google Scholar]
- 20.Grocott MP, Pearse RM. Prognostic studies of perioperative risk: robust methodology is needed. Br J Anaesth 2010;105:243–5. 10.1093/bja/aeq207 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.McGlade DP, Poon AB, Davies MJ. The use of a questionnaire and simple exercise test in the preoperative assessment of vascular surgery patients. Anaesth Intensive Care 2001;29:520–6. [DOI] [PubMed] [Google Scholar]
- 22.Struthers R, Erasmus P, Holmes K et al. . Assessing fitness for surgery: a comparison of questionnaire, incremental shuttle walk, and cardiopulmonary exercise testing in general surgical patients. Br J Anaesth 2008;101:774–80. 10.1093/bja/aen310 [DOI] [PubMed] [Google Scholar]
- 23.Goetze JP, Christoffersen C, Perko M et al. . Increased cardiac BNP expression associated with myocardial ischemia. FASEB J 2003;17:1105–7. 10.1096/fj.02-0796fje [DOI] [PubMed] [Google Scholar]
- 24.Levin ER, Gardner DG, Samson WK. Natriuretic peptides. N Engl J Med 1998;339:321–8. 10.1056/NEJM199807303390507 [DOI] [PubMed] [Google Scholar]
- 25.Cuthbertson BH, Card G, Croal BL et al. . The utility of B-type natriuretic peptide in predicting postoperative cardiac events and mortality in patients undergoing major emergency non-cardiac surgery. Anaesthesia 2007;62:875–81. 10.1111/j.1365-2044.2007.05146.x [DOI] [PubMed] [Google Scholar]
- 26.Cuthbertson BH, Amiri AR, Croal BL et al. . Utility of B-type natriuretic peptide in predicting perioperative cardiac events in patients undergoing major non-cardiac surgery. Br J Anaesth 2007;99:170–6. 10.1093/bja/aem158 [DOI] [PubMed] [Google Scholar]
- 27.Rajagopalan S, Croal BL, Bachoo P et al. . N-terminal pro B-type natriuretic peptide is an independent predictor of postoperative myocardial injury in patients undergoing major vascular surgery. J Vasc Surg 2008;48:912–17. 10.1016/j.jvs.2008.05.015 [DOI] [PubMed] [Google Scholar]
- 28.Lurati Buse GA, Koller MT, Burkhart C et al. . The predictive value of preoperative natriuretic peptide concentrations in adults undergoing surgery: a systematic review and meta-analysis. Anesth Analg 2011;112:1019–33. 10.1213/ANE.0b013e31820f286f [DOI] [PubMed] [Google Scholar]
- 29.Rodseth RN, Biccard BM, Le Manach Y et al. . The prognostic value of pre-operative and post-operative B-type natriuretic peptides in patients undergoing noncardiac surgery. B-type natriuretic peptide and N-terminal fragment of pro-B-type natriuretic peptide: a systematic review and individual patient data meta-analysis. J Am Coll Cardiol 2014;63:170–80. [DOI] [PubMed] [Google Scholar]
- 30.American Thoracic Society and American College of Chest Physicians. ATS/ACCP Statement on cardiopulmonary exercise testing. Am J Respir Crit Care Med 2003;167:211–77. 10.1164/rccm.167.2.211 [DOI] [PubMed] [Google Scholar]
- 31.Borg GA. Psychophysical bases of perceived exertion. Med Sci Sports Exerc 1982;14:377–81. [PubMed] [Google Scholar]
- 32.Ferguson C, Whipp BJ, Cathcart AJ et al. . Effects of prior very-heavy intensity exercise on indices of aerobic function and high-intensity exercise tolerance. J Appl Physiol 2007;103:812–22. 10.1152/japplphysiol.01410.2006 [DOI] [PubMed] [Google Scholar]
- 33.Gaskill SE, Ruby BC, Walker AJ et al. . Validity and reliability of combining three methods to determine ventilatory threshold. Med Sci Sports Exerc 2001;33:1841–8. 10.1097/00005768-200111000-00007 [DOI] [PubMed] [Google Scholar]
- 34.Bennett-Guerrero E, Welsby I, Dunn TJ et al. . The use of a Postoperative Morbidity Survey to evaluate patients with prolonged hospitalization after routine, moderate-risk, elective surgery. Anesth Analg 1999;89:514–19. [DOI] [PubMed] [Google Scholar]
- 35.Grocott MP, Browne JP, Van der Meulen J et al. . The Postoperative Morbidity Survey was validated and used to describe morbidity after major surgery. J Clin Epidemiol 2007;60:919–28. 10.1016/j.jclinepi.2006.12.003 [DOI] [PubMed] [Google Scholar]
- 36.The EuroQol Group. EuroQol—a new facility for the measurement of health-related quality of life. Health Policy 1990;16:199–208. 10.1016/0168-8510(90)90421-9 [DOI] [PubMed] [Google Scholar]
- 37.Thygesen K, Alpert JS, Jaffe AS et al. . Third universal definition of myocardial infarction. Circulation 2012;126:2020–35. 10.1161/CIR.0b013e31826e1058 [DOI] [PubMed] [Google Scholar]
- 38.Lee TH, Marcantonio ER, Mangione CM et al. . Derivation and prospective validation of a simple index for prediction of cardiac risk of major noncardiac surgery. Circulation 1999;100:1043–9. 10.1161/01.CIR.100.10.1043 [DOI] [PubMed] [Google Scholar]
- 39.Hanley JA, McNeil BJ. The meaning and use of the area under a receiver operating characteristic (ROC) curve. Radiology 1982;143:29–36. 10.1148/radiology.143.1.7063747 [DOI] [PubMed] [Google Scholar]
- 40.Hanley JA, McNeil BJ. A method of comparing the areas under receiver operating characteristic curves derived from the same cases. Radiology 1983;148:839–43. 10.1148/radiology.148.3.6878708 [DOI] [PubMed] [Google Scholar]
- 41.Cook NR, Ridker PM. Advances in measuring the effect of individual predictors of cardiovascular risk: the role of reclassification measures. Ann Intern Med 2009;150:795–802. 10.7326/0003-4819-150-11-200906020-00007 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Pencina MJ, D'Agostino RB, D'Agostino RB et al. . Evaluating the added predictive ability of a new marker: from area under the ROC curve to reclassification and beyond. Stat Med 2008;27:157–72. 10.1002/sim.2929 [DOI] [PubMed] [Google Scholar]
- 43.Swets JA. Measuring the accuracy of diagnostic systems. Science 1988;240:1285–93. 10.1126/science.3287615 [DOI] [PubMed] [Google Scholar]
- 44.Devereaux PJ, Mrkobrada M, Sessler DI et al. . Aspirin in patients undergoing noncardiac surgery. N Engl J Med 2014;370: 1494–503. 10.1056/NEJMoa1401105 [DOI] [PubMed] [Google Scholar]
- 45.POISE Study Group. Effects of extended-release metoprolol succinate in patients undergoing non-cardiac surgery (POISE trial): a randomised controlled trial. Lancet 2008;371:1839–47. 10.1016/S0140-6736(08)60601-7 [DOI] [PubMed] [Google Scholar]
- 46.ATS Committee on Proficiency Standards for Clinical Pulmonary Function Laboratories. ATS statement: guidelines for the six-minute walk test. Am J Respir Crit Care Med 2002;166:111–17. 10.1164/ajrccm.166.1.at1102 [DOI] [PubMed] [Google Scholar]
- 47.Sinclair RC, Batterham AM, Davies S et al. . Validity of the 6 min walk test in prediction of the anaerobic threshold before major non-cardiac surgery. Br J Anaesth 2012;108:30–5. 10.1093/bja/aer322 [DOI] [PubMed] [Google Scholar]
- 48.Stark PA, Myles PS, Burke JA. Development and psychometric evaluation of a postoperative quality of recovery score: the QoR-15. Anesthesiology 2013;118:1332–40. 10.1097/ALN.0b013e318289b84b [DOI] [PubMed] [Google Scholar]
- 49.Shulman MA, Myles PS, Chan MT et al. . Measurement of disability-free survival after surgery. Anesthesiology 2015;122:524–36. 10.1097/ALN.0000000000000586 [DOI] [PubMed] [Google Scholar]
- 50.Myers J, Powell A, Smith K et al. . Cardiopulmonary exercise testing in small abdominal aortic aneurysm: profile, safety, and mortality estimates. Eur J Cardiovasc Prev Rehabil 2011;18: 459–66. 10.1177/1741826710389384 [DOI] [PubMed] [Google Scholar]
- 51.Sun XG, Hansen JE, Oudiz RJ et al. . Exercise pathophysiology in patients with primary pulmonary hypertension. Circulation 2001;104:429–35. 10.1161/hc2901.093198 [DOI] [PubMed] [Google Scholar]
- 52.Gillis C, Li C, Lee L et al. . Prehabilitation versus rehabilitation: a randomized control trial in patients undergoing colorectal resection for cancer. Anesthesiology 2014;121:937–47. 10.1097/ALN.0000000000000393 [DOI] [PubMed] [Google Scholar]
- 53.Challand C, Struthers R, Sneyd JR et al. . Randomized controlled trial of intraoperative goal-directed fluid therapy in aerobically fit and unfit patients having major colorectal surgery. Br J Anaesth 2012;108:53–62. 10.1093/bja/aer273 [DOI] [PubMed] [Google Scholar]
- 54.Pearse RM, Harrison DA, MacDonald N et al. . Effect of a perioperative, cardiac output-guided hemodynamic therapy algorithm on outcomes following major gastrointestinal surgery: a randomized clinical trial and systematic review. JAMA 2014;311:2181–90. 10.1001/jama.2014.5305 [DOI] [PubMed] [Google Scholar]
- 55.Batsis JA, Phy MP, Melton LJ et al. . Effects of a hospitalist care model on mortality of elderly patients with hip fractures. J Hosp Med 2007;2:219–25. 10.1002/jhm.207 [DOI] [PubMed] [Google Scholar]
- 56.Huddleston JM, Long KH, Naessens JM et al. . Medical and surgical comanagement after elective hip and knee arthroplasty. Ann Intern Med 2004;141:28–38. 10.7326/0003-4819-141-1-200407060-00012 [DOI] [PubMed] [Google Scholar]
- 57.Sharma G, Kuo YF, Freeman J et al. . Comanagement of hospitalized surgical patients by medicine physicians in the United States. Arch Intern Med 2010;170:363–8. 10.1001/archinternmed.2009.553 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Levey AS, Coresh J, Greene T et al. . Using standardized serum creatinine values in the modification of diet in renal disease study equation for estimating glomerular filtration rate. Ann Intern Med 2006;145:247–54. 10.7326/0003-4819-145-4-200608150-00004 [DOI] [PubMed] [Google Scholar]
- 59.Fleisher LA, Beckman JA, Brown KA et al. . 2009 ACCF/AHA focused update on perioperative beta blockade incorporated into the ACC/AHA 2007 guidelines on perioperative cardiovascular evaluation and care for noncardiac surgery: a report of the American College Of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines. Circulation 2009;120:e169–276. 10.1161/CIRCULATIONAHA.109.192690 [DOI] [PubMed] [Google Scholar]
- 60.Choi PT, Beattie WS, Bryson GL et al. . Effects of neuraxial blockade may be difficult to study using large randomized controlled trials: the PeriOperative Epidural Trial (POET) Pilot Study. PLoS ONE 2009;4:e4644 10.1371/journal.pone.0004644 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 61.Dindo D, Demartines N, Clavien PA. Classification of surgical complications: a new proposal with evaluation in a cohort of 6336 patients and results of a survey. Ann Surg 2004;240:205–13. 10.1097/01.sla.0000133083.54934.ae [DOI] [PMC free article] [PubMed] [Google Scholar]
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