May 1, 1996JAMA
Using Admission Characteristics to Predict Short-term Mortality From Myocardial Infarction in Elderly Patients
Population
14,581 Medicare patients with acute myocardial infarction in 1993 across acute care hospitals in Alabama…
Design
Cohort
Follow-up
30 days
Authors
Discussion
Loading...
Member takes
Implication
May support admission-based risk stratification in elderly AMI; leaves open prospective validation and outcome impact.
Key Points
- To create a prediction model for 30-day mortality in elderly Medicare patients with acute myocardial infarction using admission characteristics.
- Retrospective cohort study of 14,581 Medicare patients with acute myocardial infarction from 1993.
- Data sourced from medical charts and administrative files across several states.
- Evaluation of mortality rates and contributing factors, including drug therapies used during hospitalization.
- 30-day unadjusted mortality rate was 21%, with variability across states (18%-23%).
- Largest contributors to mortality variability included mean arterial pressure, age, respiratory rate, and serum urea nitrogen level.
- Explained variability in mortality increased from 27% to 33% when incorporating treatment details into the prediction model.
Structured PICO
P
Population
14,581 Medicare patients with acute myocardial infarction in 1993 across acute care hospitals in Alabama, Connecticut, Iowa, or Wisconsin.
O
Outcome
Death within 30 days of hospital admissionhard clinical
A prediction model using admission characteristics can predict 30-day mortality in elderly patients with acute myocardial infarction with good discrimination (AUC 0.78-0.79), though significant variability remains unexplained.
Cite This Study
Sharon‐Lise T. Normand (1996) studied this question.