Dataset Information

Performance of cardiopulmonary exercise testing for the prediction of post-operative complications in non cardiopulmonary surgery: A systematic review.

ABSTRACT: INTRODUCTION:Cardiopulmonary exercise testing (CPET) is widely used within the United Kingdom for preoperative risk stratification. Despite this, CPET's performance in predicting adverse events has not been systematically evaluated within the framework of classifier performance. METHODS:After prospective registration on PROSPERO (CRD42018095508) we systematically identified studies where CPET was used to aid in the prognostication of mortality, cardiorespiratory complications, and unplanned intensive care unit (ICU) admission in individuals undergoing non-cardiopulmonary surgery. For all included studies we extracted or calculated measures of predictive performance whilst identifying and critiquing predictive models encompassing CPET derived variables. RESULTS:We identified 36 studies for qualitative review, from 27 of which measures of classifier performance could be calculated. We found studies to be highly heterogeneous in methodology and quality with high potential for bias and confounding. We found seven studies that presented risk prediction models for outcomes of interest. Of these, only four studies outlined a clear process of model development; assessment of discrimination and calibration were performed in only two and only one study undertook internal validation. No scores were externally validated. Systematically identified and calculated measures of test performance for CPET demonstrated mixed performance. Data was most complete for anaerobic threshold (AT) based predictions: calculated sensitivities ranged from 20-100% when used for predicting risk of mortality with high negative predictive values (96-100%). In contrast, positive predictive value (PPV) was poor (2.9-42.1%). PPV appeared to be generally higher for cardiorespiratory complications, with similar sensitivities. Similar patterns were seen for the association of Peak VO2 (sensitivity 85.7-100%, PPV 2.7-5.9%) and VE/VCO2 (Sensitivity 27.8%-100%, PPV 3.4-7.1%) with mortality. CONCLUSIONS:In general CPET's 'rule-out' capability appears better than its ability to 'rule-in' complications. Poor PPV may reflect the frequency of complications in studied populations. Our calculated estimates of classifier performance suggest the need for a balanced interpretation of the pros and cons of CPET guided pre-operative risk stratification.

SUBMITTER: Stubbs DJ

PROVIDER: S-EPMC6996804 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Performance of cardiopulmonary exercise testing for the prediction of post-operative complications in non cardiopulmonary surgery: A systematic review.

Stubbs Daniel J DJ Grimes Lisa A LA Ercole Ari A

PloS one 20200203 2

<h4>Introduction</h4>Cardiopulmonary exercise testing (CPET) is widely used within the United Kingdom for preoperative risk stratification. Despite this, CPET's performance in predicting adverse events has not been systematically evaluated within the framework of classifier performance.<h4>Methods</h4>After prospective registration on PROSPERO (CRD42018095508) we systematically identified studies where CPET was used to aid in the prognostication of mortality, cardiorespiratory complications, and ...[more]

PMID: 32012165

Similar Datasets

Project description:BackgroundColorectal cancer surgery is complex and can result in severe post-operative complications. Optimisation of surgical outcomes requires a thorough understanding of the background complexity and comorbid status of patients.AimThe aim of this study is to determine whether certain pre-existing comorbidities are associated with high grade post-operative complications following colorectal cancer surgery. The study also aims to define the prevalence of demographic, comorbid and surgical features in a population undergoing colorectal cancer resection.MethodA colorectal cancer database at The Prince Charles Hospital was established to capture detailed information on patient background, comorbidities and clinicopathological features. A single-centre retrospective study was undertaken to assess the effect of comorbidities on post-operative outcomes following colorectal cancer resection. Five hundred and thirty-three patients were reviewed between 2010-2018 to assess if specific comorbidities were associated with higher grade post-operative complications. A Clavien-Dindo grade of three or higher was defined as a high grade complication.ResultsFifty-eight percent of all patients had an ASA grade of ASA III or above. The average BMI of patients undergoing resection was 28 ± 6.0. Sixteen percent of all patients experienced a high grade complications. Patients with high grade complications had a higher mean average age compared to patients with low grade or no post-operative complications (74 years vs 70 years, p = 0.01). Univariate analysis revealed patients with atrial fibrillation, COPD, ischaemic heart disease and heart failure had an increased risk of high grade complications. Multivariate analysis revealed pre-existing atrial fibrillation (OR 2.70, 95% CI 1.53-4.89, p <0.01) and COPD (OR 2.02 1.07-3.80, p = 0.029) were independently associated with an increased risk of high grade complications.ConclusionPre-existing atrial fibrillation and COPD are independent risk factors for high grade complications. Targeted perioperative management is necessary to optimise outcomes.

Dataset Information

Performance of cardiopulmonary exercise testing for the prediction of post-operative complications in non cardiopulmonary surgery: A systematic review.

Publications

Performance of cardiopulmonary exercise testing for the prediction of post-operative complications in non cardiopulmonary surgery: A systematic review.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets