4.2 Article

Common laboratory tests predict imminent medical emergency team calls, intensive care unit admission or death in emergency department patients

Journal

EMERGENCY MEDICINE AUSTRALASIA
Volume 25, Issue 2, Pages 132-139

Publisher

WILEY
DOI: 10.1111/1742-6723.12040

Keywords

biochemistry; emergency department; laboratory; medical emergency team; mortality; outcome

Funding

  1. Cooperative Research Centres Programme for Smart Services
  2. Australian Government

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Objective To estimate the ability of commonly measured laboratory variables to predict imminent (within the same or next calendar day) medical emergency team (MET) calls, ICU admission or death. Methods We performed a retrospective observational study of ED patients. We estimated the ability of each laboratory variable or combination of variables together with patient age to predict imminent MET calls, ICU admission or death. We externally validated our findings in patients from a different hospital. Results We studied 160341 batches in 71453 ED patients (average age: 59.9 +/- 22.1 years) for a total of 1 million individual measurements. There were 341 MET calls, 160 ICU admissions from the wards and 858 deaths. Multivariable modelling achieved a receiver operating characteristic area under the curve (ROC-AUC) of 0.69 (95% CI 0.630.74) for imminent MET call with prediction occurring a mean of 11.9h before the call. Additionally, it achieved a ROC-AUC of 0.82 (95% CI 0.730.87) for imminent ICU admission. Finally, it achieved a ROC-AUC of 0.90 (95% CI 0.870.91) for imminent death. When tested using an additional 37367 batches from a cohort of 21430 ED patients from a second teaching hospital, the multivariate model achieved a ROC-AUC of 0.70 (95% CI 0.660.73) for imminent MET call, a ROC-AUC of 0.84 (95% CI 0.780.90) for imminent ICU admission. Finally, it achieved a ROC-AUC of 0.89 (95% CI 0.860.91) for imminent death. Conclusions Commonly performed laboratory tests can help predict imminentMET calls, ICU admission or death in ED patients. Prospective investigations of the clinical utility of such predictions appear desirable.

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