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Biccard BM, Devereaux PJ, Rodseth RN. Cardiac biomarkers in the prediction of risk in the non-cardiac surgery setting. Anaesthesia 2014; 69:484-93. [PMID: 24738805 DOI: 10.1111/anae.12635] [Citation(s) in RCA: 32] [Impact Index Per Article: 3.2] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/10/2014] [Indexed: 12/24/2022]
Abstract
B-Type natriuretic peptides and troponin measurements have potential in predicting risk in patients undergoing non-cardiac surgery. Using the American Heart Association framework for the evaluation of novel biomarkers, we review the current evidence supporting the peri-operative use of these two biomarkers. In patients having major non-cardiac surgery who are risk stratified using clinical risk scores, the measurement of natriuretic peptides and troponin, both before and after surgery, significantly improves risk stratification. However, only pre- and postoperative natriuretic peptide measurement and postoperative troponin measurement have shown clinical utility. It is now important for trials to be conducted to determine whether integrating pre- and postoperative natriuretic peptide and postoperative troponin measurement into clinical practice is able to improve clinical outcomes in patients undergoing non-cardiac surgery.
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Affiliation(s)
- B M Biccard
- Perioperative Research Group, Department of Anaesthetics, Nelson R. Mandela School of Medicine, University of KwaZulu-Natal, Durban, South Africa
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Rodseth RN, Biccard BM, Le Manach Y, Sessler DI, Lurati Buse GA, Thabane L, Schutt RC, Bolliger D, Cagini L, Cardinale D, Chong CPW, Chu R, Cnotliwy M, Di Somma S, Fahrner R, Lim WK, Mahla E, Manikandan R, Puma F, Pyun WB, Radović M, Rajagopalan S, Suttie S, Vanniyasingam T, van Gaal WJ, Waliszek M, Devereaux PJ. 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 2013; 63:170-80. [PMID: 24076282 DOI: 10.1016/j.jacc.2013.08.1630] [Citation(s) in RCA: 213] [Impact Index Per Article: 19.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2013] [Revised: 08/07/2013] [Accepted: 08/12/2013] [Indexed: 12/13/2022]
Abstract
OBJECTIVES The objective of this study was to determine whether measuring post-operative B-type natriuretic peptides (NPs) (i.e., B-type natriuretic peptide [BNP] and N-terminal fragment of proBNP [NT-proBNP]) enhances risk stratification in adult patients undergoing noncardiac surgery, in whom a pre-operative NP has been measured. BACKGROUND Pre-operative NP concentrations are powerful independent predictors of perioperative cardiovascular complications, but recent studies have reported that elevated post-operative NP concentrations are independently associated with these complications. It is not clear whether there is value in measuring post-operative NP when a pre-operative measurement has been done. METHODS We conducted a systematic review and individual patient data meta-analysis to determine whether the addition of post-operative NP levels enhanced the prediction of the composite of death and nonfatal myocardial infarction at 30 and ≥180 days after surgery. RESULTS Eighteen eligible studies provided individual patient data (n = 2,179). Adding post-operative NP to a risk prediction model containing pre-operative NP improved model fit and risk classification at both 30 days (corrected quasi-likelihood under the independence model criterion: 1,280 to 1,204; net reclassification index: 20%; p < 0.001) and ≥180 days (corrected quasi-likelihood under the independence model criterion: 1,320 to 1,300; net reclassification index: 11%; p = 0.003). Elevated post-operative NP was the strongest independent predictor of the primary outcome at 30 days (odds ratio: 3.7; 95% confidence interval: 2.2 to 6.2; p < 0.001) and ≥180 days (odds ratio: 2.2; 95% confidence interval: 1.9 to 2.7; p < 0.001) after surgery. CONCLUSIONS Additional post-operative NP measurement enhanced risk stratification for the composite outcomes of death or nonfatal myocardial infarction at 30 days and ≥180 days after noncardiac surgery compared with a pre-operative NP measurement alone.
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Affiliation(s)
- Reitze N Rodseth
- Perioperative Research Group, Department of Anaesthetics, Grey's Hospital, Nelson R. Mandela School of Medicine, University of KwaZulu-Natal, Pietermaritzburg, South Africa; Population Health Research Institute, Hamilton Health Sciences, Hamilton, Ontario, Canada; Department of Outcomes Research, Cleveland Clinic, Cleveland, Ohio.
| | - Bruce M Biccard
- Perioperative Research Group, Department of Anaesthetics, Grey's Hospital, Nelson R. Mandela School of Medicine, University of KwaZulu-Natal, Pietermaritzburg, South Africa
| | - Yannick Le Manach
- Population Health Research Institute, Hamilton Health Sciences, Hamilton, Ontario, Canada; Departments of Anesthesia, Clinical Epidemiology, and Biostatistics, Hamilton Health Sciences, Hamilton, Ontario, Canada
| | - Daniel I Sessler
- Department of Outcomes Research, Cleveland Clinic, Cleveland, Ohio
| | - Giovana A Lurati Buse
- Department of Anaesthesia and Intensive Care Medicine, University Hospital Basel, Basel, Switzerland
| | - Lehana Thabane
- Population Health Research Institute, Hamilton Health Sciences, Hamilton, Ontario, Canada; Departments of Clinical Epidemiology and Biostatistics/Anesthesia/Pediatrics, McMaster University, Hamilton, Ontario, Canada; Biostatistics Unit, St. Joseph's Healthcare, Hamilton, Ontario, Canada
| | - Robert C Schutt
- Department of Internal Medicine, University of Virginia, Charlottesville, Virginia
| | - Daniel Bolliger
- Department of Anaesthesia and Intensive Care Medicine, University Hospital Basel, Basel, Switzerland
| | - Lucio Cagini
- Department of Surgical Science, University of Perugia, Ospedale S. Maria, Perugia, Italy
| | | | - Carol P W Chong
- Departments of Aged Care, Northern Clinical Research Centre, The Northern Hospital, Epping, Victoria, Australia, and The Department of Medicine, Austin and Northern Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Rong Chu
- Department of Clinical Epidemiology and Biostatistics, Faculty of Health Sciences, McMaster University, Hamilton, Ontario, Canada
| | - Miłosław Cnotliwy
- Department of Vascular and General Surgery and Angiology, Pomeranian Medical University, Szczecin, Poland
| | - Salvatore Di Somma
- Department of Medical-Surgery Sciences and Translational Medicine, University La Sapienza, and Emergency Department, Sant'Andrea Hospital, Rome, Italy
| | - René Fahrner
- Division of General, Visceral and Vascular Surgery, University Hospital, Jena, Germany
| | - Wen Kwang Lim
- Departments of Aged Care, Northern Clinical Research Centre, The Northern Hospital, Epping, Victoria, Australia, and The Department of Medicine, Austin and Northern Health, The University of Melbourne, Melbourne, Victoria, Australia
| | - Elisabeth Mahla
- Department of Anesthesia and Intensive Care Medicine, Medical University of Graz, Graz, Austria
| | - Ramaswamy Manikandan
- Departments of Urology, Stepping Hill Hospital, Stockport, United Kingdom, and Wrightington, Wigan and Leigh NHS Foundation Trust, Wigan, United Kingdom
| | - Francesco Puma
- Department of Surgical Science, University of Perugia, Ospedale S. Maria, Perugia, Italy
| | - Wook B Pyun
- Division of Cardiology, Department of Internal Medicine, Ewha Womans University, School of Medicine, Mokdong Hospital, Seoul, Korea
| | - Milan Radović
- Clinic of Nephrology, University of Belgrade, School of Medicine, Belgrade, Serbia
| | - Sriram Rajagopalan
- Department of Vascular Surgery, University Hospital of North Staffordshire, Stoke on Trent, United Kingdom
| | - Stuart Suttie
- Department of Vascular Surgery, Ninewells Hospital and Medical School, Dundee, United Kingdom
| | | | - William J van Gaal
- Department of Cardiology, University of Melbourne, Northern Health, Epping, Victoria, Australia
| | - Marek Waliszek
- Cardiac Diagnostics Unit, M. Pirogow Provincial Specialist Hospital, Lodz, Poland
| | - P J Devereaux
- Population Health Research Institute, Hamilton Health Sciences, Hamilton, Ontario, Canada; Departments of Medicine, Clinical Epidemiology, and Biostatistics, Hamilton Health Sciences, Hamilton, Ontario, Canada
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Biccard BM, Rodseth RN. What evidence is there for intraoperative predictors of perioperative cardiac outcomes? A systematic review. Perioper Med (Lond) 2013; 2:14. [PMID: 24472327 PMCID: PMC3964323 DOI: 10.1186/2047-0525-2-14] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/14/2012] [Accepted: 05/10/2013] [Indexed: 01/06/2023] Open
Abstract
Background Patients undergo cardiac preoperative evaluation to identify those at risk of adverse perioperative cardiac events. The Revised Cardiac Risk index is commonly used for this task, although it is unable to accurately risk stratify in all patients. This may be partly a result of intraoperative events which significantly modify preoperative risk. Methods We conducted a systematic review to identify independent intraoperative predictors of adverse cardiac events in patients undergoing non-cardiac surgery. Four databases (Ovid Healthstar 1966 to Jan 2012, Ovid Medline 1946 to 6 March 2012, EMBASE 1974 to March 05 2012 and The Cochrane Library to March 06 2012) were searched. Results Fourteen eligible studies were identified. The need for intraoperative blood transfusion (odds ratio (OR), 2.3; 95% confidence interval (CI), 1.4-3.3), vascular surgery (OR, 2.3; 95% CI, 1.2-3.4) and emergent/urgent surgery (OR, 2.3; 95% CI, 1.1-3.5) were the only independent intraoperative risk predictors identified in more than study. Other independent intraoperative factors identified included a >20 mmHg fall in mean arterial blood pressure for > 60 min (OR, 3.0; 95% CI, 1.8-4.9), >30% increase in baseline systolic pressure (OR, 8.0; 95% CI, 1.3-50), tachycardia in the recovery room (>30 beats per min (bpm) from baseline for >5 min) (OR, 7; 95% CI, 1.9-26), new onset atrial fibrillation (OR, 6.6; 95% CI, 2.5-20), hypothermia (OR, 2.2; 95% CI, 1.1-5) and remote ischemic preconditioning (OR, 0.22; 95% CI, 0.07-0.67). Other markers of surgical complexity were not independently associated with postoperative adverse cardiac outcomes. None of these studies controlled for blood transfusion. Conclusions Intraoperative events significantly increase the risk for postoperative cardiac complications, although only intraoperative blood transfusion has strong evidence supporting this finding. It is possible that modification of these intraoperative risk factors by anesthetists and surgeons may reduce postoperative cardiac events and improve outcome. The Vascular Events in Noncardiac Surgery Patients Cohort Evaluation (VISION) Study will add important information to understanding intraoperative risk factors for adverse cardiac events.
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Affiliation(s)
- Bruce M Biccard
- Perioperative Research Group, Department of Anaesthetics, Nelson R, Mandela School of Medicine, University of KwaZulu-Natal, Private Bag 7, Congella 4013, South Africa.
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