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[The development of a linear function for stratifying the risk of hospital mortality in acute myocardial infarct]
1Facultad de Medicina, Departamento de Medicina, Hospital General de Murcia.
Insights
This study identifies key factors like ventricular extrasystoles, diastolic blood pressure, and heart rate to predict mortality in acute myocardial infarction patients. A new risk score helps identify high-risk individuals needing specialized cardiac care.
Area of Science:
- Cardiology
- Critical Care Medicine
Context:
- Acute myocardial infarction (AMI) patients treated conventionally still face high mortality.
- Limited access to advanced interventions like emergency coronary bypass surgery exists.
Purpose:
- To identify predictors of mortality in acute myocardial infarction patients.
- To develop a risk stratification tool for better patient management.
Summary:
- A review of 167 emergency room patients with myocardial infarction identified age, heart rate, blood pressure, rales, heart failure, cardiomegaly, and ventricular extrasystoles as mortality correlates.
- A linear function combining ventricular extrasystoles, diastolic arterial pressure, and heart rate effectively stratified patients into low, medium, and high-risk groups.
- These risk groups corresponded to hospital mortality rates of 5.7%, 36.4%, and 83.3%, respectively.
Impact:
- The proposed risk function can aid in selecting AMI patients who would benefit from transfer to centers with emergency coronary surgery facilities.
- Improved patient triage can lead to better outcomes and resource allocation in acute myocardial infarction management.
Abstract:
In spite of conventional treatment in a Coronary Unit, there is a group of patients with acute myocardial infarction who present a high mortality index. A more aggressive attitude (coronariography, angioplasty, and/or emergency coronary bypass) could improve the prognosis in some of these patients but can only be performed in a limited number of centers. In the present work, we have reviewed data obtained from the Emergency Room on 167 patients diagnosed of myocardial infarction. The variables that were correlated to mortality were: age, heart rate, blood pressure, presence of rales, radiologic heart failure cardiomegaly, ventricular extrasystoles in ECG and delay in arrival to hospital. We obtain a lineal function (z = 24.6 X1 - 0.4 X2 + 0.2 X3 + 11) which combining ventricular extrasystoles, diastolic arterial pressure, and heart rate permits to differentiate three risk groups: low, medium and high, associated to hospital mortality rates of 5.7, 36.4 and 83.3%. We suggest the use of a function of this type to select those patients who should be sent to a hospital with facilities for emergency coronary surgery.