[Impact of comorbidities on in-hospital mortality from acute myocardial infarction, 2003-2009]
Miguel Gili1, José Sala, Julio López
1Servicio de Medicina Preventiva, Hospital Universitario Virgen Macarena, Sevilla, España. mgili@us.es
Insights
Despite rising patient age and comorbidities, in-hospital mortality for acute myocardial infarction decreased from 2003-2009. This decline is linked to improved reperfusion, revascularization, and medical treatments for heart attacks.
Area of Science:
- Cardiology
- Public Health
- Health Services Research
Context:
- Acute myocardial infarction (AMI) treatment has evolved significantly.
- Analyzing trends in AMI in-hospital mortality is crucial for understanding treatment efficacy.
- The minimum basic data set (MBDS) provides valuable data for retrospective studies.
Purpose:
- To analyze trends in in-hospital mortality for acute myocardial infarction (AMI) between 2003 and 2009.
- To assess the impact of changing comorbidity indices on AMI mortality prediction models.
- To compare the predictive ability of different multivariate models for AMI mortality.
Summary:
- A study of 5275 acute myocardial infarction cases from 2003-2009 revealed increasing patient age and comorbidities.
- Despite these demographic shifts, in-hospital mortality rates for AMI decreased over the study period.
- Multivariate models incorporating age, sex, medical treatment, revascularization, and specific comorbidities accurately predicted mortality, with specific comorbidities offering the best predictive power.
Impact:
- Findings suggest that advancements in reperfusion and revascularization therapies, along with improved medical management, have contributed to reduced mortality in acute myocardial infarction patients.
- Comorbidity indices remain valid predictors of mortality when applied correctly, highlighting their importance in risk stratification.
- The study underscores the need for continuous monitoring of treatment outcomes and risk factors in acute myocardial infarction care.
Introduction And Objectives:
Treatment of acute myocardial infarction has changed notably in recent years. The objective of this study was to analyze trends in in-hospital mortality during the period 2003-2009 and to examine how changes in comorbidity indices affected mortality prediction models for acute myocardial infarction using the minimum basic data set.
Methods:
During the study period, 5275 cases of acute myocardial infarction were admitted. Mortality rates were calculated by age and sex and Charlson and Elixhauser comorbidity index scores were obtained on admission for every patient. Trends were analyzed and their validity studied. Multivariate models predictive of mortality were derived and compared.
Results:
Mean age and comorbidities increased in all patients over the period 2003-2009. In spite of these trends, acute myocardial infarction mortality decreased. Comorbidity indices remained valid when the criterion "present on admission" was applied. Multivariate predictive models included age, sex, medical treatment, coronary revascularization and a comorbidity index or specific comorbidities. The model with specific comorbidities showed the best predictive ability. All models found that age and comorbidities increased the risk of death, and that coronary revascularization and treatment with anticoagulants, fibrinolytics, and platelet antiaggregants were protective factors.
Conclusions:
Despite the fact that the mean age and number of comorbidities in acute myocardial infarction patients has increased year over year, acute myocardial infarction mortality has decreased, probably because of more frequent reperfusion and revascularization therapy and better medical treatment.
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