Mangmeesri Peerachatra, Chumpathong Saowapark, Tubpimsan Attapinya, Wangnamthip Suratsawadee, Wongputtakam Piyatida
Department of Anesthesiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand.
Department of Anesthesiology, Faculty of Medicine Siriraj Hospital, Mahidol University, Bangkok, Thailand
BMJ Open. 2025 Sep 8;15(9):e096705. doi: 10.1136/bmjopen-2024-096705.
To determine the incidence of in-hospital postoperative mortality and validate the Preoperative Score to Predict Postoperative Mortality (POSPOM).
Retrospective case-control study.
A tertiary university hospital in Thailand.
All patients who underwent surgical procedures in 2019 under any anaesthesia technique.
Incidence of in-hospital postoperative mortality and POSPOM score performance (sensitivity, specificity and predictive values).
A total of 39 674 patients underwent surgery in 2019. The in-hospital postoperative mortality rate was 0.76% (95% CI 0.68% to 0.85%). After excluding cases per POSPOM criteria, 270 deceased patients remained. The POSPOM score was validated against these 270 cases and 270 randomly selected survivors, yielding an area under the receiver operating characteristic curve of 0.73 (95% CI 0.69 to 0.77). At a cut-off of 21, the sensitivity was 71.5% (95% CI 65.7% to 76.8%), and the specificity was 61.9% (95% CI 55.8% to 67.7%).
This single-centre study found a low in-hospital postoperative mortality rate. The POSPOM score demonstrated moderate predictive accuracy for postoperative mortality risk and may be useful for preoperative risk stratification.
确定术后住院死亡率,并验证术前预测术后死亡率评分(POSPOM)。
回顾性病例对照研究。
泰国一家三级大学医院。
2019年接受任何麻醉技术手术的所有患者。
术后住院死亡率及POSPOM评分表现(敏感性、特异性和预测值)。
2019年共有39674例患者接受手术。术后住院死亡率为0.76%(95%CI 0.68%至0.85%)。根据POSPOM标准排除病例后,仍有270例死亡患者。针对这270例病例及270例随机选择的幸存者对POSPOM评分进行验证,受试者工作特征曲线下面积为0.73(95%CI 0.69至0.77)。截断值为21时,敏感性为71.5%(95%CI 65.7%至76.8%),特异性为61.9%(95%CI 55.8%至67.7%)。
这项单中心研究发现术后住院死亡率较低。POSPOM评分对术后死亡风险显示出中等预测准确性,可能有助于术前风险分层。