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Updated: Jun 8, 2026
Primary Outcome Assessment in a Pig Model of Acute Myocardial Infarction
Published on: October 14, 2016
A new risk score predicting 1- and 5-year mortality following acute myocardial infarction Soroka Acute Myocardial
Ygal Plakht1, Arthur Shiyovich, Shimon Weitzman
1Clinical Research Center, Soroka University Medical Center, PO Box 151, Beer-Sheva, 84101, Israel. igalpl@clalit.org.il
Insights
A new scoring system effectively predicts mortality in acute myocardial infarction (AMI) survivors using non-cardiovascular comorbidities. This tool aids in identifying high-risk patients for improved clinical outcomes.
Area of Science:
- Cardiology
- Clinical Prediction Models
- Public Health
Background:
- Risk stratification after acute myocardial infarction (AMI) is crucial for targeted interventions.
- Identifying patients who can benefit from specific medical treatments post-AMI requires effective prognostic tools.
Purpose of the Study:
- To develop and validate a prognostic tool for predicting mortality in hospital survivors of AMI.
- The tool incorporates various non-cardiovascular comorbidities to enhance predictive accuracy.
Main Methods:
- A cohort of 2773 AMI patients discharged alive between 2002-2004 was analyzed.
- The cohort was divided into training (two-thirds) and validation (one-third) sets.
- Post-discharge 1-year all-cause mortality was the primary outcome; 5-year mortality was also assessed.
Main Results:
- The developed score includes factors like age, comorbidities (COPD, malignancy, etc.), and prior treatments (PCI, CABG).
- Points are assigned based on the presence and severity of these factors.
- C-statistics for 1-year mortality were 0.86 (training) and 0.83 (validation); for 5-year mortality, it was 0.858.
Conclusions:
- A novel, simple, and robust scoring system has been developed.
- This score accurately predicts mortality in patients discharged alive after AMI.
- The tool aids in risk stratification and potential intervention planning for AMI survivors.
Background:
Risk stratification of patients following acute myocardial infarction (AMI), in order to identify patients whose clinical outcomes can be improved through specific medical interventions, is needed.
Objectives:
Development and validation of a prognostic tool comprising a variety of non-cardiovascular co-morbidities, to predict mortality of hospital survivors after AMI.
Methods:
The study cohort included 2773 consecutive patients with AMI who were discharged live from the Soroka University Medical Center between 2002 and 2004. Two-thirds were used obtain the model (training set) and one-third to validate it (validation set). Data were collected from the hospital's routine computerized information systems. The primary outcome was post-discharge 1-year all-cause mortality. The weight of each variable in the final score was computed based on the odds ratio values of the multivariate model. Additionally, the ability of the index to predict 5-year mortality was assessed.
Results:
These are comprised of the following parameters: 4 points - age >75 years, abnormal echocardiography findings; 3 points - at least one of following: gastro-intestinal hemorrhage, COPD, malignancy, alcohol or drug addiction, neurological disorders, psychiatric disorders; 2 points - no echocardiography results, renal diseases, anemia, hyponatremia; -3 points for PCI or thrombolytic therapy; -6 points - CABG; -2 points - obesity. The c-statistics for 1-year all-cause mortality were 0.86 and 0.83 in the training and validation sets, respectively. The c-statistics for 5-year mortality was 0.858 for both sets combined.
Conclusions:
The new score is a simple robust tool for predicting mortality in patients discharged alive following AMI.
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