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The DANish Comorbidity Index for Acute Myocardial Infarction (DANCAMI): Development, Validation and Comparison with
Lisbeth Wellejus Albertsen1, Uffe Heide-Jørgensen1, Sigrun Alba Johannesdottir Schmidt1
1Department of Clinical Epidemiology, Aarhus University Hospital, Aarhus, Denmark.
Insights
The new DANish Comorbidity index for Acute Myocardial Infarction (DANCAMI) accurately assesses patient comorbidity burden. DANCAMI outperforms existing indices and is recommended for myocardial infarction prognosis studies.
Area of Science:
- Cardiology and Public Health
- Epidemiology and Biostatistics
Background:
- Accurate adjustment for comorbidity burden is crucial in myocardial infarction prognosis studies.
- Existing comorbidity indices may not fully capture the complexity of patient health status.
Purpose of the Study:
- To develop and validate the DANish Comorbidity index for Acute Myocardial Infarction (DANCAMI).
- To assess the DANCAMI's performance in adjusting for comorbidity burden in myocardial infarction prognosis.
Main Methods:
- Development of DANCAMI and rDANCAMI using Danish registries (n=36,685) for first-time myocardial infarction patients.
- Variable selection via stepwise Cox models and comparison with Charlson and Elixhauser indices.
- External validation in a New Zealand cohort (n=75,069).
Main Results:
- DANCAMI includes 24 comorbidities; rDANCAMI includes 17 non-cardiovascular comorbidities.
- DANCAMI outperformed Charlson and Elixhauser indices on all performance measures in the Danish cohort.
- Novel variables like valvular heart disease, coagulopathy, and psychiatric disorders significantly predicted mortality, validated externally.
Conclusions:
- DANCAMI effectively assesses comorbidity burden in myocardial infarction patients.
- The DANCAMI index demonstrates superior performance and generalizability compared to existing indices.
- DANCAMI is recommended for standard comorbidity adjustment in myocardial infarction prognosis research.
Objective:
To develop and validate the DANish Comorbidity index for Acute Myocardial Infarction (DANCAMI) for adjustment of comorbidity burden in studies of myocardial infarction prognosis.
Methods:
Using medical registries, we identified patients with first-time myocardial infarction in Denmark during 2000-2013 (n=36,685). We developed comorbidity indices predicting 1-year all-cause mortality from all comorbidities (DANCAMI) and restricted to non-cardiovascular comorbidities (rDANCAMI). For variable selection, we eliminated comorbidities stepwise using hazard ratios from multivariable Cox models. We compared DANCAMI/rDANCAMI with Charlson and Elixhauser comorbidity indices using standard performance measures (Nagelkerke's R2, Harrell's C-statistic, the Integrated Discrimination Improvement, and the continuous Net Reclassification Index). We assessed the significance of the novel DANCAMI variables not included in the Charlson Comorbidity Index. External validation was performed in patients with myocardial infarction in New Zealand during 2007-2016 (n=75,069).
Results:
The DANCAMI included 24 comorbidities. The rDANCAMI included 17 non-cardiovascular comorbidities. In the Danish cohort, the DANCAMI indices outperformed both the Charlson and the Elixhauser comorbidity indices on all performance measures. The DANCAMI indices included multiple variables that were significant predictors of 1-year mortality even after controlling for all variables in the Charlson Comorbidity Index. These novel variables included valvular heart disease (hazard ratio for 1-year mortality=1.25, 95% CI: 1.14-1.35), coagulopathy (1.13, 95% CI: 1.05-1.22), alcohol and drug abuse (1.35, 95% CI: 1.15-1.58), schizophrenia (1.60, 95% CI: 1.46-1.76), affective disorder (1.29, 95% CI: 1.22-1.36), epilepsy (1.26, 95% CI: 1.05-1.50), neurodegenerative disorder (1.30, 95% CI: 1.10-1.54) and chronic pancreatitis (1.71, 95% CI: 1.14-2.56). The results were supported by the external validation in New Zealand.
Conclusion:
DANCAMI assessed comorbidity burden of patients with first-time myocardial infarction, outperformed existing comorbidity indices, and was generalizable to patients outside Denmark. DANCAMI is recommended as a standard approach for comorbidity adjustment in studies of myocardial infarction prognosis.
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