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Utility of the National Emergency Laparotomy Audit prognostic model in predicting outcomes in an Australian health system
Journal article   Peer reviewed

Utility of the National Emergency Laparotomy Audit prognostic model in predicting outcomes in an Australian health system

Elizabeth T Tran and Kwok M Ho
Anaesthesia and intensive care, Vol.51(1), pp.51-58
2023
PMID: 36475889

Abstract

Australia Cohort Studies Emergencies Humans Laparotomy - adverse effects Prognosis Retrospective Studies United Kingdom
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.

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Collaboration types
Domestic collaboration
Citation topics
1 Clinical & Life Sciences
1.71 Cardiology - Circulation
1.71.1836 Perioperative Cardiac Risk
Web Of Science research areas
Anesthesiology
Critical Care Medicine
ESI research areas
Clinical Medicine
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