BACKGROUND: The objectives of this study were to evaluate outcomes and predictors of morbidity in patients undergoing Roux-en-Y gastric bypass (RYGB) during the Patient Safety in Surgery (PSS) Study. STUDY DESIGN: National Surgical Quality Improvement Program data on PSS patients undergoing RYGB were analyzed for unadjusted and adjusted outcomes. Gender groups acted differently and were analyzed separately. Multivariable regression modeling was used to analyze hospital type as a predictor of risk. Stepwise logistic regression was performed to determine patient factors predictive of postoperative morbidity. RESULTS: A total of 2,438 patients (2,064 private sector [PS], 374 Veterans Affairs [VA]) were identified for analysis. Adjusted odds ratio for postoperative morbidity for VA versus PS female patients was 1.14 (95% CI, 0.63-2.05), and for male patients 2.29 (95% CI, 1.28-4.10). Stepwise logistic regression showed that independent risk factors predictive of morbidity were open procedure, higher American Society of Anesthesiologists class, higher body mass index, diabetes, alcohol consumption, leukocytosis, SGOT > 40 U/L, smoking history, and older age. Importantly, male gender was not significant (p = 0.13) in the regression analysis. Subsequent and unrelated to this study, the VA has restructured its bariatric surgical program, including regionalization of centers, with a substantial lowering of associated mortality and morbidity. CONCLUSIONS: The VA male subset showed higher risk-adjusted postoperative morbidity compared with the PS male subset. The VA and PS female subsets had equivalent risk-adjusted postoperative morbidity. A systematic approach to quality-improvement processes resulted in improved bariatric surgical outcomes in the VA. Male gender might not be an independent risk factor in RYGB patients.
BACKGROUND: The objectives of this study were to evaluate outcomes and predictors of morbidity in patients undergoing Roux-en-Y gastric bypass (RYGB) during the Patient Safety in Surgery (PSS) Study. STUDY DESIGN: National Surgical Quality Improvement Program data on PSSpatients undergoing RYGB were analyzed for unadjusted and adjusted outcomes. Gender groups acted differently and were analyzed separately. Multivariable regression modeling was used to analyze hospital type as a predictor of risk. Stepwise logistic regression was performed to determine patient factors predictive of postoperative morbidity. RESULTS: A total of 2,438 patients (2,064 private sector [PS], 374 Veterans Affairs [VA]) were identified for analysis. Adjusted odds ratio for postoperative morbidity for VA versus PS female patients was 1.14 (95% CI, 0.63-2.05), and for male patients 2.29 (95% CI, 1.28-4.10). Stepwise logistic regression showed that independent risk factors predictive of morbidity were open procedure, higher American Society of Anesthesiologists class, higher body mass index, diabetes, alcohol consumption, leukocytosis, SGOT > 40 U/L, smoking history, and older age. Importantly, male gender was not significant (p = 0.13) in the regression analysis. Subsequent and unrelated to this study, the VA has restructured its bariatric surgical program, including regionalization of centers, with a substantial lowering of associated mortality and morbidity. CONCLUSIONS: The VA male subset showed higher risk-adjusted postoperative morbidity compared with the PS male subset. The VA and PS female subsets had equivalent risk-adjusted postoperative morbidity. A systematic approach to quality-improvement processes resulted in improved bariatric surgical outcomes in the VA. Male gender might not be an independent risk factor in RYGB patients.
Authors: Claire O'Hanlon; Christina Huang; Elizabeth Sloss; Rebecca Anhang Price; Peter Hussey; Carrie Farmer; Courtney Gidengil Journal: J Gen Intern Med Date: 2016-07-15 Impact factor: 5.128
Authors: Michael Messerli; Céline Maywald; Stephan Wälti; René Warschkow; Simon Wildermuth; Hatem Alkadhi; Sebastian Leschka; Marc Schiesser Journal: Obes Surg Date: 2017-08 Impact factor: 4.129