Association of perioperative β-blockade with mortality and cardiovascular morbidity following major noncardiac surgery.

IMPORTANCE The effectiveness of perioperative β-blockade in patients undergoing noncardiac surgery remains controversial. OBJECTIVE To determine the associations of early perioperative exposure to β-blockers with 30-day postoperative outcome in patients undergoing noncardiac surgery. DESIGN, SETTING, AND PATIENTS A retrospective cohort analysis evaluating exposure to β-blockers on the day of or following major noncardiac surgery among a population-based sample of 136,745 patients who were 1:1 matched on propensity scores (37,805 matched pairs) treated at 104 VA medical centers from January 2005 through August 2010. MAIN OUTCOMES AND MEASURES All cause 30-day mortality and cardiac morbidity (cardiac arrest or Q-wave myocardial infarction). RESULTS Overall 55,138 patients (40.3%) were exposed to β-blockers. Exposure was higher in the 66.7% of 13,863 patients undergoing vascular surgery (95% CI, 65.9%-67.5%) than in the 37.4% of 122,882 patients undergoing nonvascular surgery (95% CI, 37.1%-37.6%; P < .001). Exposure increased as Revised Cardiac Risk Index factors increased, with 25.3% (95% CI, 24.9%-25.6%) of those with no risk vs 71.3% (95% CI, 69.5%-73.2%) of those with 4 risk factors or more exposed to β-blockers (P < .001). Death occurred among 1.1% (95% CI, 1.1%-1.2%) and cardiac morbidity occurred among 0.9% (95% CI, 0.8%-0.9%) of patients. In the propensity matched cohort, exposure was associated with lower mortality (relative risk [RR], 0.73; 95% CI, 0.65-0.83; P < .001; number need to treat [NNT], 241; 95% CI, 173-397). When stratified by cumulative numbers of Revised Cardiac Risk Index factors, β-blocker exposure was associated with significantly lower mortality among patients with 2 factors (RR, 0.63 [95% CI, 0.50-0.80]; P < .001; NNT, 105 [95% CI, 69-212]), 3 factors (RR, 0.54 [95% CI, 0.39-0.73]; P < .001; NNT, 41 [95% CI, 28-80]), or 4 factors or more (RR, 0.40 [95% CI, 0.25-0.73]; P < .001; NNT, 18 [95% CI, 12-34]). This association was limited to patients undergoing nonvascular surgery. β-Blocker exposure was also associated with a lower rate of nonfatal Q-wave infarction or cardiac arrest (RR, 0.67 [95% CI, 0.57-0.79]; P < .001; NNT, 339 [95% CI, 240-582]), again limited to patients undergoing nonvascular surgery. CONCLUSIONS AND RELEVANCE Among propensity-matched patients undergoing noncardiac, nonvascular surgery, perioperative β-blocker exposure was associated with lower rates of 30-day all-cause mortality in patients with 2 or more Revised Cardiac Risk Index factors. Our findings support use of a cumulative number of Revised Cardiac Risk Index predictors in decision making regarding institution and continuation of perioperative β-blockade. A multicenter randomized trial involving patients at a low to intermediate risk by these factors would be of interest to validate these observational findings.

[1]  M. Drazner,et al.  2013 ACCF/AHA guideline for the management of heart failure: a report of the American College of Cardiology Foundation/American Heart Association Task Force on Practice Guidelines. , 2013, Journal of the American College of Cardiology.

[2]  P. Myles,et al.  This wonder-working gas. , 2013, Anesthesia and Analgesia.

[3]  Deepak L. Bhatt,et al.  β-Blocker use and clinical outcomes in stable outpatients with and without coronary artery disease. , 2012, JAMA.

[4]  A. Laupacis,et al.  Clinical Evidence, Practice Guidelines, and &bgr;-Blocker Utilization Before Major Noncardiac Surgery , 2012, Circulation. Cardiovascular quality and outcomes.

[5]  D. Flum,et al.  β-blocker continuation after noncardiac surgery: a report from the surgical care and outcomes assessment program. , 2012, Archives of surgery.

[6]  G. Guyatt,et al.  Association between postoperative troponin levels and 30-day mortality among patients undergoing noncardiac surgery. , 2012, JAMA.

[7]  John Spertus,et al.  AHA/ACCF Secondary Prevention and Risk Reduction Therapy for Patients with Coronary and other Atherosclerotic Vascular Disease: 2011 update: a guideline from the American Heart Association and American College of Cardiology Foundation. , 2011, Circulation.

[8]  G. Guyatt,et al.  Prognostic Value of Troponin and Creatine Kinase Muscle and Brain Isoenzyme Measurement after Noncardiac Surgery: A Systematic Review and Meta-analysis , 2011, Anesthesiology.

[9]  W. S. Beattie,et al.  Chronic &bgr; Blockade Is Associated with a Better Outcome after Elective Noncardiac Surgery than Acute &bgr; Blockade: A Single-center Propensity-matched Cohort Study , 2011, Anesthesiology.

[10]  P. Austin,et al.  Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies , 2010, Pharmaceutical statistics.

[11]  Jeroen J. Bax,et al.  Timing of pre-operative Beta-blocker treatment in vascular surgery patients: influence on post-operative outcome. , 2010, Journal of the American College of Cardiology.

[12]  A. Wallace,et al.  Association of the Pattern of Use of Perioperative &bgr;-Blockade and Postoperative Mortality , 2010, Anesthesiology.

[13]  V. Lawrence,et al.  Variations in Pharmacology of &bgr;-Blockers May Contribute to Heterogeneous Results in Trials of Perioperative &bgr;-Blockade , 2010, Anesthesiology.

[14]  Daniel J. Bertges,et al.  The Vascular Study Group of New England Cardiac Risk Index (VSG-CRI) predicts cardiac complications more accurately than the Revised Cardiac Risk Index in vascular surgery patients. , 2010, Journal of vascular surgery.

[15]  C. Ko,et al.  Missing data in the American College of Surgeons National Surgical Quality Improvement Program are not missing at random: implications and potential impact on quality assessments. , 2010, Journal of the American College of Surgeons.

[16]  H. Calkins,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. , 2009, Journal of the American College of Cardiology.

[17]  L. Fleisher,et al.  Perioperative Strokes and &bgr;-Blockade , 2009, Anesthesiology.

[18]  A. Forster,et al.  Effect of &bgr;-blocker Prescription on the Incidence of Postoperative Myocardial Infarction after Hip and Knee Arthroplasty , 2009, Anesthesiology.

[19]  P. Austin Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples , 2009, Statistics in medicine.

[20]  Shuang Wang,et al.  Perioperative Acute Ischemic Stroke in Noncardiac and Nonvascular Surgery: Incidence, Risk Factors, and Outcomes , 2009, Anesthesiology.

[21]  William T. Abraham,et al.  Focused Update : ACCF / AHA Guidelines for the Diagnosis and Management of Heart Failure in Adults , 2013 .

[22]  Christian Gluud,et al.  Perioperative β blockers in patients having non-cardiac surgery: a meta-analysis , 2008, The Lancet.

[23]  Denis Xavier,et al.  Effects of extended-release metoprolol succinate in patients undergoing non-cardiac surgery (POISE trial): a randomised controlled trial , 2008, The Lancet.

[24]  C. O'connor,et al.  Impact of Heart Failure on Patients Undergoing Major Noncardiac Surgery , 2008, Anesthesiology.

[25]  Samy Suissa,et al.  Immortal time bias in pharmaco-epidemiology. , 2008, American journal of epidemiology.

[26]  Peter C Austin,et al.  Propensity-score matching in the cardiovascular surgery literature from 2004 to 2006: a systematic review and suggestions for improvement. , 2007, The Journal of thoracic and cardiovascular surgery.

[27]  K. Leslie,et al.  Avoidance of Nitrous Oxide for Patients Undergoing Major Surgery: A Randomized Controlled Trial , 2007, Anesthesiology.

[28]  P. Friedmann,et al.  Preoperative hematocrit levels and postoperative outcomes in older patients undergoing noncardiac surgery. , 2007, JAMA.

[29]  W. Henderson,et al.  Multivariable predictors of postoperative cardiac adverse events after general and vascular surgery: results from the patient safety in surgery study. , 2007, Journal of the American College of Surgeons.

[30]  W. Henderson,et al.  Assessment of the reliability of data collected for the Department of Veterans Affairs national surgical quality improvement program. , 2007, Journal of the American College of Surgeons.

[31]  Jeroen J. Bax,et al.  Should major vascular surgery be delayed because of preoperative cardiac testing in intermediate-risk patients receiving beta-blocker therapy with tight heart rate control? , 2006, Journal of the American College of Cardiology.

[32]  P. Lindenauer,et al.  Perioperative beta-blocker therapy and mortality after major noncardiac surgery. , 2005, The New England journal of medicine.

[33]  W. Henderson,et al.  Surgical Outcomes for Patients Aged 80 and Older: Morbidity and Mortality from Major Noncardiac Surgery , 2005, Journal of the American Geriatrics Society.

[34]  P. Glassman,et al.  Pharmacy benefits management in the Veterans Health Administration: 1995 to 2003. , 2005, The American journal of managed care.

[35]  C. Maynard,et al.  Data resources in the Department of Veterans Affairs. , 2004, Diabetes care.

[36]  Alan Agresti,et al.  Effects and non‐effects of paired identical observations in comparing proportions with binary matched‐pairs data , 2004, Statistics in medicine.

[37]  A. Wear CIRCULATION , 1964, The Lancet.

[38]  G. Joseph,et al.  Pharmacy Data in the VA Health Care System , 2003, Medical care research and review : MCRR.

[39]  E F Cook,et al.  Derivation and prospective validation of a simple index for prediction of cardiac risk of major noncardiac surgery. , 1999, Circulation.

[40]  F. Grover,et al.  The Department of Veterans Affairs' NSQIP: the first national, validated, outcome-based, risk-adjusted, and peer-controlled program for the measurement and enhancement of the quality of surgical care. National VA Surgical Quality Improvement Program. , 1998, Annals of surgery.

[41]  C. Moorehead All rights reserved , 1997 .

[42]  A V Prochazka,et al.  The assessment of refill compliance using pharmacy records: methods, validity, and applications. , 1997, Journal of clinical epidemiology.

[43]  D. Rubin,et al.  The central role of the propensity score in observational studies for causal effects , 1983 .