Increased health services use by severely obese patients undergoing emergency surgery: a retrospective cohort study |
| |
Authors: | Suzana Küpper Constantine J Karvellas Rachel G Khadaroo Sandy L Widder |
| |
Institution: | Division of General Surgery, Department of Surgery (Küpper, Khadaroo, Widder); Division of Gastroenterology, Department of Medicine (Karvellas); and Division of Critical Care Medicine (Karvellas, Khadaroo, Widder), University of Alberta, Edmonton, Alta. |
| |
Abstract: | BackgroundThe aim of this study was to assess perioperative outcomes in obese patients undergoing emergency surgery.MethodsWe retrospectively reviewed the charts of all adult (> 17 yr) patients admitted to the acute care emergency surgery service at the University of Alberta Hospital between January 2009 and December 2011 who had a body mass index (BMI) of 35 or higher. Patients were divided into subgroups for analysis based on “severe” (BMI 35–39.9) and “morbid” obesity (BMI ≥ 40). Multivariate logistic regression was performed to identify predictors of in-hospital mortality after controlling for confounding factors.ResultsData on 111 patients (55% women, median BMI 39) were included in the final analysis. Intensive care unit (ICU) support was required for 40% of patients. Postoperative complications occurred in 42% of patients, and 31% required reoperation. Overall in-hospital mortality was 17%. Morbidly obese patients had increased rates of reoperation (40% v. 23%, p = 0.05) and increased lengths of stay compared with severely obese patients (14.5 v. 6.0 d, p = 0.09). Age (odds ratio OR] 1.08 per increment) and preoperative ICU stay (OR 12) were significantly associated with in-hospital mortality after controlling for confounding, but BMI was not.ConclusionObese patients requiring emergency surgery represent a complex patient population at high risk for perioperative morbidity and mortality. Greater resources are required for their care, including ICU support, repeat surgery and prolonged ICU stay. Future studies could help identify predictors of reoperation and strategies to optimize nutrition, rehabilitation and resource allocation. |
| |
Keywords: | |
|
|