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Short-term risk stratification at admission based on simple clinical data in acute myocardial infarction
C Dubois1, L A Pierard, A Albert
1Department of Cardiology, University of Liège, Belgium.
Insights
A new prognostic index using age, cardiac site, and left ventricular function can identify patients with acute myocardial infarction (AMI) at high, intermediate, or low risk of hospital death. This tool aids clinical management and trial selection.
Area of Science:
- Cardiology
- Clinical Medicine
- Public Health
Background:
- Acute myocardial infarction (AMI) remains a leading cause of mortality worldwide.
- Effective risk stratification is crucial for optimizing patient management and resource allocation in coronary care units.
- Existing prognostic models may not fully capture the dynamic risk profiles of AMI patients during hospitalization.
Purpose of the Study:
- To develop and validate a simple prognostic index for predicting in-hospital mortality in patients with acute myocardial infarction (AMI).
- To identify key clinical variables at admission that are independently associated with mortality risk.
- To stratify AMI patients into distinct risk categories for improved clinical decision-making.
Main Methods:
- A stepwise logistic discriminant analysis was performed on 10 clinical variables from 477 consecutive AMI patients (experimental group).
- A prognostic index was derived using age, cardiac site (anterior vs. other), and left ventricular function grade.
- The index was validated in a separate group of 536 consecutive AMI patients (comparison group).
Main Results:
- The final prognostic index incorporated age, cardiac site, and left ventricular function.
- Validation in the comparison group demonstrated the index's effectiveness in risk stratification.
- Patients were categorized into high-risk (mortality 51%), intermediate-risk (mortality 18%), and low-risk (mortality 4%) groups based on index values.
Conclusions:
- A simple, validated prognostic index using readily available clinical data can effectively predict hospital mortality in AMI patients.
- This index facilitates the identification of high-risk individuals who may benefit from intensive management or early intervention.
- The tool can enhance clinical management and aid in the selection of appropriate candidates for clinical trials.
Abstract:
Simple clinical data, available in all coronary care units, were recorded in 1,013 consecutive patients with acute myocardial infarction (AMI). In order to identify the patients at highest and lowest risk of mortality during hospital stay, a prognostic index was established from a stepwise logistic discriminant analysis of 10 clinical variables obtained at admission in a consecutive series of 477 patients hospitalized in 1 of 2 coronary care units admitting new patients on alternate days and treating them similarly. This prognostic index was applied to a comparison group of 536 consecutive patients admitted to the other coronary care unit. In the experimental group, 57 of the 477 patients (12%) died during hospital stay; 60 of the 536 patients (11%) died in the comparison group. As individual variables, age, previous history of AMI, anterior site and left ventricular function on admission were associated with increased mortality. Three variables were selected from the stepwise logistic discriminant analysis of the experimental group: age; site (anterior = 1, other = 0); and grade of left ventricular function (0 to 4). Prognostic index = 5.9019 - 0.8961 function - 0.5708 location - 0.0369 age. This index was validated in the comparison group. Patients were allocated into different classes with increasing index values associated with decreasing risk. Three subgroups of patients were identified: high risk of hospital mortality (index less than or equal to 1; mortality: 51%), intermediate risk (index 1 to 3; mortality: 18%) and low risk (index greater than 3; mortality: 4%). The use of this simple prognostic index may improve clinical management and selection of patients for intervention trials.