Pre-medical emergency team activations - Patient characteristics, outcomes and predictors of deterioration.

Aust Crit Care

Department of Surgery, University of Melbourne, Carlton, Victoria, Australia; Department of Intensive Care, Austin Health, Heidelberg, Victoria, Australia.

Published: November 2023

Background: Pre-medical emergency team (MET) calls are an increasingly common tier of Rapid Response Systems, but the epidemiology of patients who trigger a Pre-MET is not well understoof.

Objectives: This study aims to examine the epidemiology and outcomes of patients who trigger a pre-MET activation and identify risk factors for further deterioration.

Methods: This is a retrospective cohort study of pre-MET activations in a university-affiliated metropolitan hospital in Australia, between 13 April 2021 and 4 October 2021. A multivariable regression model was used to identify variables associated with further deterioration, defined as a MET call or Code Blue within 24 h of pre-MET activation.

Results: From a total of 39 664 admissions, there were 7823 pre-MET activations (197.2 per 1000 admissions). Compared to inpatients that did not trigger a pre-MET, the patients were older (68.8 vs 53.8 years, p < 0.001), were more likely to be male (51.0 vs 47.6%, p < 0.001), had an emergency admission (70.1% vs 53.3%, p < 0.001), and were under a medical specialty (63.7 vs 54.9%, p < 0.001). They had a longer hospital length of stay (5.6 vs 0.4 d, p < 0.001) and higher in-hospital mortality (3.4% vs 1.0%, p < 0.001). A pre-MET was more likely to progress to a MET call or Code Blue if it was activated for fever, cardiovascular, neurological, renal, or respiratory criteria (p < 0.001), if the patient was under a paediatric team (p = 0.018), or if there had been a MET call or Code Blue prior to the pre-MET activation (p < 0.001).

Conclusion: Pre-MET activations affect almost 20% of hospital admissions and are associated with a higher risk of mortality. Certain characteristics may predict further deterioration to a MET call or Code Blue, suggesting the potential for early intervention via clinical decision support systems.

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Source
http://dx.doi.org/10.1016/j.aucc.2023.03.002DOI Listing

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