Emergency Department Blood Tests and Mortality for 12,661 Patients

12,661 consecutive admissions to the Emergency Department of Nordsjælland University Hospital from two periods in 2010 and 2013. This cohort study includes routine blood test results and triage data to predict 30-day mortality. The data was used to compare the predictive power of blood tests against a formalized triage algorithm.

Use Cases

• Train logistic regression models to predict 30-day mortality from routine blood test results like albumin, creatinine, and c-reactive protein.
• Compare the discriminative performance (AUC) of blood test-based risk stratification against formalized triage algorithm categories.
• Identify low-risk patient cohorts using blood test values to potentially improve emergency department resource allocation.
• Validate predictive models for mortality using the separate 2010 primary and 2013 validation cohorts.

Strengths

• Substantial cohort of 12,661 patient admissions with linked mortality outcomes.
• Includes a validation cohort (n=6,383 from 2013) for model testing.
• Data captures specific blood test results (e.g., albumin, creatinine, CRP) and formal triage categories for direct comparison.

Limitations

• Data is from a single hospital in Denmark, limiting geographic generalizability.
• Temporal coverage is limited to two specific periods in 2010 and 2013.
• Requires patients to have had a full routine biochemical screening at triage, which may introduce selection bias.

Provenance

Source

Prospective observational cohort study at Nordsjælland University Hospital.

Collection Method

Consecutive admissions were triaged, and patients with full routine biochemical screening were included. Vital status was collected from the Danish Central Office of Civil Registration.

Time Range

Two separate periods in 2010 (primary cohort) and 2013 (validation cohort).

Freshness

Data last updated in 2020, covering patient admissions from 2010 and 2013.

Geography

Emergency Department of Nordsjælland University Hospital, Denmark.