Preoperative and Intraoperative Predictors of Cardiac Adverse Events after General, Vascular, and Urological Surgery

Author:

Kheterpal Sachin1,O’Reilly Michael2,Englesbe Michael J.1,Rosenberg Andrew L.1,Shanks Amy M.3,Zhang Lingling4,Rothman Edward D.5,Campbell Darrell A.6,Tremper Kevin K.7

Affiliation:

1. Assistant Professor.

2. Associate Professor, Department of Anesthesiology, University of Michigan Medical School. Current position: Professor, Department of Anesthesiology and Perioperative Care, University of California at Irvine, Orange, California.

3. Research Associate.

4. Statistical Consultant.

5. Professor of Statistics, Center for Statistical Consultation and Research, University of Michigan.

6. Henry K. Ransom Professor, Department of Surgery, University of Michigan Medical School.

7. Robert B. Sweet Professor and Chairman, Department of Anesthesiology.

Abstract

Background The authors sought to determine the incidence and risk factors for perioperative cardiac adverse events (CAEs) after noncardiac surgery using detailed preoperative and intraoperative hemodynamic data. Methods The authors conducted a prospective observational study at a single university hospital from 2002 to 2006. All American College of Surgeons-National Surgical Quality Improvement Program patients undergoing general, vascular, and urological surgery were included. The CAE outcome definition included cardiac arrest, non-ST elevation myocardial infarction, Q-wave myocardial infarction, and new clinically significant cardiac dysrhythmia within the first 30 postoperative days. Results Four years of data demonstrated that of 7,740 noncardiac operations, 83 patients (1.1%) experienced a CAE within 30 days. Nine independent predictors were identified (P < or = 0.05): age > or = 68, body mass index > or = 30, emergent surgery, previous coronary intervention or cardiac surgery, active congestive heart failure, cerebrovascular disease, hypertension, operative duration > or = 3.8 h, and the administration of 1 or more units of packed red blood cells intraoperatively. The c-statistic of this model was 0.81 +/- 0.02. Univariate analysis demonstrated that high-risk patients experiencing a CAE were more likely to experience an episode of mean arterial pressure < 50 mmHg (6% vs. 24%, P = 0.02), experience an episode of 40% decrease in mean arterial pressure (26% vs. 53%, P = 0.01), and an episode of heart rate > 100 (22% vs. 34%, P = 0.05). Conclusions In comparison with current risk stratification indices, the inclusion of intraoperative elements improves the ability to predict a perioperative CAE after noncardiac surgery.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Anesthesiology and Pain Medicine

Reference35 articles.

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