Sharma, Narayan and Schwendimann, René and Endrich, Olga and Ausserhofer, Dietmar and Simon, Michael. (2021) Comparing Charlson and Elixhauser comorbidity indices with different weightings to predict in-hospital mortality: an analysis of national inpatient data. BMC Health Services Research, 21 (1). p. 13.
PDF
- Published Version
Available under License CC BY (Attribution). 843Kb |
Official URL: https://edoc.unibas.ch/81065/
Downloads: Statistics Overview
Abstract
Understanding how comorbidity measures contribute to patient mortality is essential both to describe patient health status and to adjust for risks and potential confounding. The Charlson and Elixhauser comorbidity indices are well-established for risk adjustment and mortality prediction. Still, a different set of comorbidity weights might improve the prediction of in-hospital mortality. The present study, therefore, aimed to derive a set of new Swiss Elixhauser comorbidity weightings, to validate and compare them against those of the Charlson and Elixhauser-based van Walraven weights in an adult in-patient population-based cohort of general hospitals.; Retrospective analysis was conducted with routine data of 102 Swiss general hospitals (2012-2017) for 6.09 million inpatient cases. To derive the Swiss weightings for the Elixhauser comorbidity index, we randomly halved the inpatient data and validated the results of part 1 alongside the established weighting systems in part 2, to predict in-hospital mortality. Charlson and van Walraven weights were applied to Charlson and Elixhauser comorbidity indices. Derivation and validation of weightings were conducted with generalized additive models adjusted for age, gender and hospital types.; Overall, the Elixhauser indices, c-statistic with Swiss weights (0.867, 95% CI, 0.865-0.868) and van Walraven's weights (0.863, 95% CI, 0.862-0.864) had substantial advantage over Charlson's weights (0.850, 95% CI, 0.849-0.851) and in the derivation and validation groups. The net reclassification improvement of new Swiss weights improved the predictive performance by 1.6% on the Elixhauser-van Walraven and 4.9% on the Charlson weights.; All weightings confirmed previous results with the national dataset. The new Swiss weightings model improved slightly the prediction of in-hospital mortality in Swiss hospitals. The newly derive weights support patient population-based analysis of in-hospital mortality and seek country or specific cohort-based weightings.
Faculties and Departments: | 03 Faculty of Medicine > Departement Public Health > Institut für Pflegewissenschaft |
---|---|
UniBasel Contributors: | Sharma, Narayan and Schwendimann, René and Ausserhofer, Dietmar and Simon, Michael |
Item Type: | Article, refereed |
Article Subtype: | Research Article |
Publisher: | BioMed Central |
e-ISSN: | 1472-6963 |
Note: | Publication type according to Uni Basel Research Database: Journal article |
Language: | English |
Identification Number: |
|
edoc DOI: | |
Last Modified: | 17 Mar 2021 09:26 |
Deposited On: | 17 Mar 2021 09:26 |
Repository Staff Only: item control page