Background:Previous studies have demonstrated that obesity is paradoxically associated with a lower risk of mortality after noncardiac surgery. This study will determine the impact of the modified metabolic syndrome (defined as the presence of obesity, hypertension, and diabetes) on perioperative outcomes. Methods: This study is based on data from 310,208 patients in the American College of Surgeons National Surgical Quality Improvement Program database. We estimated separate multivariate logistic regression models for 30-day mortality and for 30-day complications. Results: Patients with the modified metabolic syndrome who are super obese had a 2-fold increased risk of death (adjusted odds ratio [AOR] 1.99; 95% CI 1.41-2.80). As stratified by body mass index, patients with the modified metabolic syndrome had a 2-to 2.5-fold higher risk of cardiac adverse events (CAE) compared with normal-weight patients: obese (AOR 1.70; 95% CI 1.40 -2.07), morbidly obese (AOR 2.01; 95% CI 1.48 -2.73), and super obese (AOR 2.66; 95% CI 1.68 -4.19). In addition, the risk of acute kidney injury (AKI) was 3-to 7-fold higher in these patients: obese (AOR 3.30; 95% CI 2.75-3.94), morbidly obese (AOR 5.01; 95% CI 3.87-6.49), and super obese (AOR 7.29; 95% CI 5.27-10.1).
Conclusion:Patients with the modified metabolic syndrome undergoing noncardiac surgery are at substantially higher risk of complications compared with patients of normal weight.
There was dramatic hospital variability in perioperative transfusion rates among patients undergoing major noncardiac surgery at academic medical centers. In light of the potential complications of transfusion therapy, reducing this variability in hospital transfusion practices may result in improved surgical outcomes.
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We detected no overall changes but did detect different changes at each institution despite the identical intervention. The intervention may be more effective with new faculty and/or smaller discussion sessions. Future steps include refining the rating system, exploring ways to sustain changes, and investigating other factors contributing to feedback quality and utility.
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