ArticleClinical epidemiology2020
The DANish Comorbidity Index for Acute Myocardial Infarction (DANCAMI): Development, Validation and Comparison with Existing Comorbidity Indices.
Article in Clinical epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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13 citing papers in PubMed, 34 citations in OpenAlex.
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- Influence of Low-Density Lipoprotein Cholesterol Levels on NSAID-Associated Cardiovascular Risks After Myocardial Infarction: A Population-Based Cohort Study.Clinical epidemiology · 2024Article
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- Effectiveness and Safety of Endoscopic Submucosal Dissection for Colorectal Neoplasm in Patients with High Charlson Comorbidity Index Score: A HASID Multicenter Study.Journal of clinical medicine · 2023Article
- The Ability of Comorbidity Indices to Predict Mortality After Heart Transplantation: A Validation of the Danish Comorbidity Index for Acute Myocardial Infarction, Charlson Comorbidity Index, and Elixhauser Comorbidity Index.Transplantation direct · 2023Article
- Current Trends in Comorbidity Prevalence and Associated Mortality in a Population-Based Cohort of Hip Fracture Patients in Denmark.Clinical epidemiology · 2023Article
- Combination of the Barthel Index at Discharge with GRACE Leads to Improved One-Year Mortality Prediction in Older Patients with Acute Myocardial Infarction.Clinical interventions in aging · 2023Article
- Mortality in people with schizophrenia: a systematic review and meta-analysis of relative risk and aggravating or attenuating factors.World psychiatry : official journal of the World Psychiatric Association (WPA) · 2022Article
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7 authors at 2 institutions in 2 countries.
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No grant is acknowledged in the PubMed record.
Abstract
objectiveTo develop and validate the DANish Comorbidity index for Acute Myocardial Infarction (DANCAMI) for adjustment of comorbidity burden in studies of myocardial infarction prognosis.
methodsUsing 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 R
resultsThe 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.
conclusionDANCAMI 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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