Journal article

Developing models to predict early postoperative patient deterioration and adverse events

Mitchell K Petersen Tym, Guy L Ludbrook, Arthas Flabouris, Richard Seglenieks, Thomas W Painter

ANZ JOURNAL OF SURGERY | WILEY | Published : 2017

Abstract

BACKGROUND: Accurate identification of patients at risk of early postoperative deterioration allows needs-based allocation of patients to appropriate levels of care. This study aimed to record the incidence of early postoperative deterioration and identify factors predictive of at-risk patients. Doing so may assist future evidence-based perioperative planning and allocation of patients to high-acuity facilities. METHODS: With ethical approval, data from elective non-cardiac surgical patients were collected between May and August 2013. Patient and surgical factors potentially related to postoperative deterioration were collected from preoperative assessment records. Data on deterioration in t..

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University of Melbourne Researchers