Predicting readmission or death after acute ST-elevation myocardial infarction

Area of Science:

• Cardiology
• Clinical Research
• Health Outcomes

Background:

• Identifying risk factors for emergent readmissions or death after acute myocardial infarction (AMI) is critical for patient management.
• Prospective clinical registries have been underutilized for investigating these risk factors.

Purpose of the Study:

• To hypothesize that 30-day readmission or death after ST-elevation myocardial infarction (STEMI) can be predicted using patient, procedural, and process factors.
• To develop and validate a predictive model for major adverse events within 30 days post-STEMI.

Main Methods:

• Prospective enrollment of 1271 patients with STEMI from 2006-2011 into a dedicated registry.
• Ascertainment of 30-day readmission via administrative claims and death via the Social Security Death Master File.
• Application of univariate and stepwise multivariate logistic regression, with model calibration assessed by Hosmer-Lemeshow statistics and discrimination by ROC curves.

Main Results:

• The combined endpoint of 30-day readmission or postdischarge death occurred in 10.6% of patients.
• Increased risk was associated with age ≥ 80, diabetes, chest pain/cardiac arrest at presentation, and 3-vessel disease.
• Decreased risk was linked to transfer from another ED, clopidogrel, hypercholesterolemia, and specific discharge medications (aspirin, beta-blockers, ACE/ARB inhibitors).

Conclusions:

• Prehospitalization factors are significant predictors of 30-day readmission or death post-AMI and are often overlooked.
• Incorporating these overlooked factors into routine risk prediction models can improve patient outcomes after AMI.