DOI: 10.5061/dryad.m2bq5
title: Data from: Routine blood tests are associated with short term mortality and can improve emergency department triage: a cohort study of &gt;12,000 patients

description: Background: Prioritization of acutely ill patients in the Emergency
 Department remains a challenge. We aimed to evaluate whether routine blood
 tests can predict mortality in unselected patients in an emergency
 department and to compare risk prediction with a formalized triage
 algorithm. Methods: A prospective observational cohort study of 12,661
 consecutive admissions to the Emergency Department of Nordsjælland
 University Hospital during two separate periods in 2010 (primary cohort,
 n = 6279) and 2013 (validation cohort, n = 6383). Patients were triaged in
 five categories by a formalized triage algorithm. All patients with a full
 routine biochemical screening (albumin, creatinine, c-reactive protein,
 haemoglobin, lactate dehydrogenase, leukocyte count, potassium, and
 sodium) taken at triage were included. Information about vital status was
 collected from the Danish Central Office of Civil registration. Multiple
 logistic regressions were used to predict 30-day mortality. Validation was
 performed by applying the regression models on the 2013 validation cohort.
 Results: Thirty-day mortality was 5.3%. The routine blood tests had a
 significantly stronger discriminative value on 30-day mortality compared
 to the formalized triage (AUC 88.1 [85.7;90.5] vs. 63.4 [59.1;67.5],
 p &lt; 0.01). Risk stratification by routine blood tests was able to
 identify a larger number of low risk patients (n = 2100, 30-day mortality
 0.1% [95% CI 0.0;0.3%]) compared to formalized triage (n = 1591, 2.8% [95%
 CI 2.0;3.6%]), p &lt; 0.01. Conclusions: Routine blood tests were
 strongly associated with 30-day mortality in acutely ill patients and
 discriminatory ability was significantly higher than with a formalized
 triage algorithm. Thus routine blood tests allowed an improved risk
 stratification of patients presenting in an emergency department.
description: PrimaryDataAkutDB_Upload2017This data is described in details by: Barfod C, Lauritzen MMP, Danker JK, Sölétormos G, Berlac PA, Lippert F, et al. The formation and design of the “Acute Admission Database”- a database including a prospective, observational cohort of 6279 patients triaged in the emergency department in a larger Danish hospital. Scand J Trauma Resusc Emerg Med [Internet]. 2012 Jan [cited 2013 Sep 8];20:29. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=3403899&tool=pmcentrez&rendertype=abstractPrimaryDataAkutDB_ReadME.txtValidationDataTriageDB_Upload2017Validation data for this study. The data is already described in details by: Plesner LL, Iversen AKS, Langkjær S, Nielsen TL, Østervig R, Warming PE, et al. The formation and design of the TRIAGE study--baseline data on 6005 consecutive patients admitted to hospital from the emergency department. Scand J Trauma Resusc Emerg Med [Internet]. 2015 Jan [cited 2015 Dec 18];23:106. Available from: http://www.pubmedcentral.nih.gov/articlerender.fcgi?artid=4667414&tool=pmcentrez&rendertype=abstractValidationDataTriageDB_ReadME.txt