Key result
A prognostic model combining the Charlson Comorbidity Index with age, sex, and mechanical ventilation status predicted inhospital mortality with a C-statistic of 0.773 (95% CI 0.744-0.803).
Why the study?
The authors sought to compare the abilities of three commonly used scoring systems to predict short- and long-term mortality, aiming to build a better prediction model for critically ill patients.
Does a prognostic model combining CCI with age, sex, and mechanical ventilation status predict short- and long-term mortality as well as the APACHE II score in ICU patients?
Population
Intensive care unit patients from a regional hospital in 2012 linked to Taiwan NHIRD claims data
Comparison
APACHE II score vs Elixhauser Comorbidity Index vs Charlson Comorbidity Index
Design
Retrospective database linkage study
Follow-up
1 year
Authors
Loading...
Claims-based model comparable to APACHE for ICU mortality; leaves open prospective validation before clinical use.
Cohort
No
Does a prognostic model combining CCI with age, sex, and mechanical ventilation status predict short- and long-term mortality as well as the APACHE II score in ICU patients?
Effect estimate: C-statistic 0.773 (95% CI 0.744-0.803)
A prognostic model using administrative claims data (CCI, age, sex, mechanical ventilation) can predict ICU mortality with accuracy comparable to the APACHE II score.
Hsu et al. (2020) conducted a cohort in Critically ill patients. Prognostic model combining Charlson Comorbidity Index (CCI) with age, sex, and mechanical ventilation status vs. APACHE II score was evaluated on Inhospital mortality (C-statistic 0.773, 95% CI 0.744-0.803). A prognostic model combining the Charlson Comorbidity Index with age, sex, and mechanical ventilation status predicted inhospital mortality with a C-statistic of 0.773 (95% CI 0.744-0.803).
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: