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Evaluating and improving current risk prediction tools in emergency laparotomy

医学 剖腹手术 统计的 急诊医学 风险评估 审计 人口 阿帕奇II 急诊科 重症监护医学 医疗急救 外科 重症监护室 统计 环境卫生 计算机科学 经济 管理 精神科 计算机安全 数学
作者
Ahmed Barazanchi,Sameer Bhat,Kate Palmer-Neels,Wiremu MacFater,Weisi Xia,Irene Zeng,Ashish Taneja,Andrew D. MacCormick,Andrew Hill
出处
期刊:The journal of trauma and acute care surgery [Ovid Technologies (Wolters Kluwer)]
卷期号:89 (2): 382-387 被引量:30
标识
DOI:10.1097/ta.0000000000002745
摘要

PURPOSE Emergency laparotomy (EL) encompasses a high-risk group of operations, which are increasingly performed on a heterogeneous population of patients, making preoperative risk assessment potentially difficult. The UK National Emergency Laparotomy Audit (NELA) recently produced a risk predictive tool for EL that has not yet been externally validated. We aimed to externally validate and potentially improve the NELA tool for mortality prediction after EL. METHODOLOGY We reviewed computer and paper records of EL patients from May 2012 to June 2017 at Middlemore Hospital (New Zealand). The inclusion criteria mirrored the UK NELA. We examined the NELA, Portsmouth Physiological and Operative Severity Score for the enUmeration of Mortality (P-POSSUM), Acute Physiology and Chronic Health Evaluation II (APACHE-II), and American College of Surgeons National Surgical Quality Improvement Programs risk predictive tools for 30-day mortality. The Hosmer-Lemeshow test was used to assess calibration, and the c statistic, to evaluate discrimination (accuracy) of the tools. We added the modified frailty index (mFI) and nutrition to improve the accuracy of risk predictive tools. RESULTS A total of 758 patients met the inclusion criteria, with an observed 30-day mortality of 7.9%. The NELA was the only well calibrated tool, with predicted 30-day mortality of 7.4% ( p = 0.22). When combined with mFI and nutritional status, the c statistic for NELA improved from 0.83 to 0.88. American College of Surgeons National Surgical Quality Improvement Programs, APACHE-II, and P-POSSUM had lower c statistics, albeit also showing an improvement (0.84, 0.81, and 0.74, respectively). CONCLUSION We have demonstrated the NELA tool to be most predictive of mortality after EL. The NELA tool would therefore facilitate preoperative risk assessment and operative decision making most precisely in EL. Future research should consider adding mFI and nutritional status to the NELA tool. LEVEL OF EVIDENCE Level IV; Retrospective observational cohort study.

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