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Updated: Jun 22, 2026

Myocardial Infarction and Functional Outcome Assessment in Pigs
Published on: April 25, 2014
Prognostic assessment of patients with acute myocardial infarction treated with primary angioplasty: implications for
Giuseppe De Luca1, Harry Suryapranata, Arnoud W J van 't Hof
1Department of Cardiology, ISALA Klinieken, Hospital De Weezenlanden, Zwolle, The Netherlands.
A new risk score helps identify low-risk patients with ST-segment elevation myocardial infarction (STEMI) who can be safely discharged early after angioplasty, improving clinical decisions and reducing costs.
Area of Science:
- Cardiology
- Clinical Risk Stratification
- Health Economics
Background:
- ST-segment elevation myocardial infarction (STEMI) management often involves prolonged hospital stays.
- Risk stratification is crucial for optimizing patient care and resource allocation post-primary angioplasty.
Purpose of the Study:
- To develop a practical risk score for patients with STEMI undergoing primary angioplasty.
- To evaluate the feasibility and cost-effectiveness of early discharge for low-risk STEMI patients.
Main Methods:
- A prognostic score was developed based on 30-day mortality in 1791 STEMI patients treated with primary angioplasty.
- Key predictors of mortality included age, anterior infarction, Killip class, ischemic time, postprocedural TIMI flow, and multivessel disease.
- Cost analysis compared conventional care with early discharge (48-72 hours) for low-risk patients.
Main Results:
- The developed score identified 73.4% of patients as low-risk (score ≤3) with high discriminatory capacity (c-statistic=0.907).
- Low-risk patients had very low 30-day mortality rates (0.1% at 2 days, 0.2% by 10 days).
- Early discharge was found to be cost-effective, saving lives at an incremental cost of $194,933 per life saved.
Conclusions:
- The new score is a practical tool for risk stratification in STEMI patients post-primary angioplasty.
- It enables safe early discharge for a significant number of low-risk patients.
- Implementation impacts clinical decision-making and healthcare costs positively.
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