Risk factors for postoperative bleeding in bariatric surgery

医学 外科 袖状胃切除术 优势比 置信区间 体质指数 逻辑回归 胃分流术 肥胖 减肥 内科学
作者
Jennifer Straatman,T. Verhaak,Ahmet Demirkıran,N.J. Harlaar,Huib A. Cense,Frederik H.W. Jonker
出处
期刊:Surgery for Obesity and Related Diseases [Elsevier BV]
卷期号:18 (8): 1057-1065 被引量:3
标识
DOI:10.1016/j.soard.2022.05.010
摘要

Postoperative bleeding remains a relatively common complication following bariatric surgery and may lead to morbidity and even mortality.To develop a prediction model to identify patients at risk for postoperative bleeding.Rode Kruis Ziekenhuis, Beverwijk, the Netherlands. Based on Dutch nationwide obesity audit data.Patients undergoing primary bariatric surgery were selected from January 2015 to December 2020 from the Dutch Audit for Treatment of Obesity. The primary outcome was postoperative bleeding within 30 days. Assessed predictors included patient factors and operative data. A prediction model was developed using backward stepwise logistic regression. Internal validation was performed using bootstrapping techniques.A total of 59,055 patients were included; 13,399 underwent a sleeve gastrectomy, and 45,656 underwent a gastric bypass procedure. Postoperative bleeding occurred in 1.5%. The following predictors were identified: male patients (odds ratio [OR] = 1.40; 95% confidence interval [CI]: 1.21-1.63), patients >45 years of age (OR = 1.50; 95% CI: 1.29-1.76), body mass index <40 kg/m2 (OR = 1.22; 95% CI: 1.06-1.41), cardiovascular disease (OR = 1.36; 95% CI: 1.17-1.57), and sleeve gastrectomy (OR = 1.43; 95% CI: 1.24-1.67). Area under the curve for the model was .612. Following bootstrapping for internal validation, a correction of .9817 was applied.A clinical decision rule was designed to assess the risk of postoperative bleeding in patients undergoing bariatric surgery. If 3 or more risk factors are present, there is an increased risk for postoperative bleeding. The model can aid in clinical decision-making: implementing extra preventative measures in high-risk patients. External validation is needed to further develop the model.

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