Tran Elizabeth T, Ho Kwok M
Department of Intensive Care Medicine, Sir Charles Gairdner Hospital, Perth, Western Australia, Australia.
Department of Intensive Care Medicine, Royal Perth Hospital, Perth, Western Australia, Australia.
Anaesth Intensive Care. 2023 Jan;51(1):51-58. doi: 10.1177/0310057X221105291. Epub 2022 Dec 7.
The Royal College of Anaesthetists was commissioned by the United Kingdom Health Quality Partnership to conduct the National Emergency Laparotomy Audit of England and Wales (NELA), to compare outcomes of patients undergoing emergency laparotomy in order to promote quality improvement. Prior to 2016 there were minimal data for emergency laparotomy patients in Australia. The aim of this cohort study was to assess the utility and applicability of the NELA model in a tertiary centre in Western Australia. NELA-related data of patients who underwent emergency laparotomy, between June 2018 and May 2020, were merged with other administrative databases and clinical records. The discriminative ability and calibration of the model were assessed by the area under the receiver operating characteristic (AUROC) curve and calibration plot, respectively. Cox proportional hazards regression was used to assess whether the NELA-predicted risks were an independent predictor of hospital mortality. Of the 502 patients included, 168 (33.5%) patients had a NELA-predicted risk >10%, and of these, 93 (55.4%) were admitted to a critical care unit in a planned fashion immediately after surgery. The NELA model had a good ability to discriminate between survivors and non-survivors (AUROC 0.892, 95% confidence intervals 0.854 to 0.93, <0.001). However, the model was not perfectly calibrated, with the predicted risks tending to overestimate the observed risks of mortality, especially when the predicted risks were >50%. A high NELA-predicted risk remained significantly associated with mortality after adjusting for other covariates, including sepsis and plasma lactate concentration, suggesting that it is a reliable screening tool for identifying high-risk patients requiring emergency laparotomy.
英国麻醉师皇家学院受英国卫生质量伙伴关系委托,开展英格兰和威尔士的全国急诊剖腹手术审计(NELA),以比较接受急诊剖腹手术患者的治疗结果,从而促进质量改进。2016年之前,澳大利亚急诊剖腹手术患者的数据极少。这项队列研究的目的是评估NELA模型在西澳大利亚一家三级中心的实用性和适用性。将2018年6月至2020年5月期间接受急诊剖腹手术患者的NELA相关数据与其他管理数据库和临床记录进行合并。分别通过受试者操作特征曲线下面积(AUROC)和校准图评估模型的判别能力和校准情况。采用Cox比例风险回归评估NELA预测风险是否为医院死亡率的独立预测因素。在纳入的502例患者中,168例(33.5%)患者的NELA预测风险>10%,其中93例(55.4%)在术后立即按计划入住重症监护病房。NELA模型在区分存活者和非存活者方面具有良好能力(AUROC 0.892,95%置信区间0.854至0.93,<0.001)。然而,该模型校准并不完美,预测风险往往高估了观察到的死亡风险,尤其是当预测风险>50%时。在调整包括脓毒症和血浆乳酸浓度等其他协变量后,NELA预测的高风险仍与死亡率显著相关,这表明它是识别需要急诊剖腹手术的高危患者的可靠筛查工具。