ArticleCMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne2019
A disease-specific comorbidity index for predicting mortality in patients admitted to hospital with a cardiac condition.
Article in CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.
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Who cites it
9 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.
- The ability of comorbidity indices to predict mortality in an orthopedic setting: a systematic review.Systematic reviews · 2021Pooled it
- A population-based analysis of the management of symptoms of depression among patients with stage IV non-small cell lung cancer (NSCLC) in Ontario, Canada.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2024Article
- Pain and Interventions in Stage IV Non-Small Cell Lung Cancer: A Province-Wide Analysis.Current oncology (Toronto, Ont.) · 2023Article
- Dyspnea in patients with stage IV non-small cell lung cancer: a population-based analysis of disease burden and patterns of care.Journal of thoracic disease · 2023Article
- Hip fracture in patients with non-dialysis chronic kidney disease stage 5.Scientific reports · 2021Article
- Province-Wide Analysis of Patient-Reported Outcomes for Stage IV Non-Small Cell Lung Cancer.The oncologist · 2021Article
- Risk of Pneumonia with Ticagrelor Versus Clopidogrel: a Population-Based Cohort Study.Journal of general internal medicine · 2021Article
- Association of Ticagrelor vs Clopidogrel With Major Adverse Coronary Events in Patients With Acute Coronary Syndrome Undergoing Percutaneous Coronary Intervention.JAMA internal medicine · 2020Article
- The DANish Comorbidity Index for Acute Myocardial Infarction (DANCAMI): Development, Validation and Comparison with Existing Comorbidity Indices.Clinical epidemiology · 2020Article
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Authors and funding
11 authors at 3 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundComorbidity indexes derived from administrative databases are essential tools of research in global health. We sought to develop and validate a novel cardiac-specific comorbidity index, and to compare its accuracy with the generic Charlson-Deyo and Elixhauser comorbidity indexes.
methodsWe derived the cardiac-specific comorbidity index from consecutive patients who were admitted to hospital at a tertiary-care cardiology hospital in Quebec. We used logistic regression analysis and incorporated age, sex and 22 clinically relevant comorbidities to build the index. We compared the cardiac-specific comorbidity index with refitted Charlson-Deyo and Elixhauser comorbidity indexes using the C-statistic and net reclassification improvement to predict in-hospital death, and the Akaike information criterion to predict length of stay. We validated our findings externally in an independent cohort obtained from a provincial registry of coronary disease in Alberta.
resultsThe novel cardiac-specific comorbidity index outperformed the refitted generic Charlson-Deyo and Elixhauser comorbidity indexes for predicting in-hospital mortality in the derivation population (
interpretationThe cardiac-specific comorbidity index predicted in-hospital and 1-year death and length of stay in cardiovascular populations better than existing generic models. This novel index may be useful for research of cardiology outcomes performed with large administrative databases.
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