Related Experiment Video
Updated: Aug 28, 2025
Inverse Probability of Treatment Weighting Propensity Score using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Comparison of Three Comorbidity Measures for Predicting In-Hospital Death through a Clinical Administrative Nacional
Iván Oterino-Moreira1, Susana Lorenzo-Martínez2, Ángel López-Delgado3
1Department of Pharmacy, Hospital Universitario Fundación Alcorcón, 28922 Madrid, Spain.
Insights
The van Walraven comorbidity index (WCI) best predicts in-hospital mortality compared to the Charlson (CCI) and Elixhauser (ECI) indices. This study quantifies differences in prognostic capacity among these common comorbidity measures.
Area of Science:
- Health Services Research
- Clinical Epidemiology
- Medical Informatics
Background:
- Comorbidity indices are crucial for assessing patient prognosis and healthcare outcomes.
- Existing literature validates various comorbidity scales, but their comparative prognostic capacity requires further investigation.
- Understanding variations in predictive power among indices like Charlson (CCI), Elixhauser (ECI), and van Walraven (WCI) is essential for accurate mortality risk stratification.
Purpose of the Study:
- To quantify prognostic differences between CCI, ECI, and WCI in predicting in-hospital mortality.
- To identify the most effective comorbidity measurement index for predicting in-hospital mortality.
Main Methods:
- Retrospective observational study analyzing 79,425 hospitalizations (2017-2021) using Minimum Basic Data Set (MBDS).
- Calculation of CCI, ECI, and WCI using ICD-10 coding algorithms.
- Evaluation of correlation (Spearman's rho) and concordance (Intraclass Correlation Coefficient - ICC) between indices.
- Logistic regression and Receiver Operating Characteristic (ROC) curve analysis to compare predictive performance for in-hospital mortality.
Main Results:
- The study included 79,425 admissions; in-hospital mortality rate was 4.47%.
- Moderate correlations and fair-to-good concordance were observed between the three comorbidity indices (CCI, ECI, WCI).
- All indices demonstrated that comorbidity increases in-hospital mortality risk, with the van Walraven comorbidity index (WCI) showing the highest predictive accuracy (AUC = 0.750).
Conclusions:
- Comorbidity significantly impacts in-hospital mortality, with varying predictive strengths across different measurement scales.
- The van Walraven comorbidity index (WCI) emerged as the superior predictor of in-hospital mortality among the evaluated indices.
- Selection of an appropriate comorbidity index is critical for accurate prognostic assessment and clinical decision-making.
Background:
Various authors have validated scales to measure comorbidity. However, the prognosis capacity variation according to the comorbidity measurement index used needs to be determined in order to identify which is the best predictor.
Aims:
To quantify the differences between the Charlson (CCI), Elixhauser (ECI) and van Walraven (WCI) comorbidity indices as prognostic factors for in-hospital mortality and to identify the best comorbidity measure predictor.
Methods:
A retrospective observational study that included all hospitalizations of patients over 18 years of age, discharged between 2017 and 2021 in the hospital, using the Minimum Basic Data Set (MBDS). We calculated CCI, ECI, WCI according to ICD-10 coding algorithms. The correlation and concordance between the three indices were evaluated by Spearman's rho and Intraclass Correlation Coefficient (ICC), respectively. The logistic regression model for each index was built for predicting in-hospital mortality. Finally, we used the receiver operating characteristic (ROC) curve for comparing the performance of each index in predicting in-hospital mortality, and the Delong method was employed to test the statistical significance of differences.
Results:
We studied 79,425 admission episodes. The 54.29% were men. The median age was 72 years (interquartile range [IQR]: 56-80) and in-hospital mortality rate was 4.47%. The median of ECI was = 2 (IQR: 1-4), ICW was 4 (IQR: 0-12) and ICC was 1 (IQR: 0-3). The correlation was moderate: ECI vs. WCI rho = 0.645, p < 0.001; ECI vs. CCI rho = 0.721, p < 0.001; and CCI vs. WCI rho = 0.704, p < 0.001; and the concordance was fair to good: ECI vs. WCI Intraclass Correlation Coefficient type A (ICCA) = 0.675 (CI 95% 0.665-0.684) p < 0.001; ECI vs. CCI ICCA = 0.797 (CI 95% 0.780-0.812), p < 0.001; and CCI vs. WCI ICCA = 0.731 (CI 95% 0.667-0.779), p < 0.001. The multivariate regression analysis demonstrated that comorbidity increased the risk of in-hospital mortality, with differences depending on the comorbidity measurement scale: odds ratio [OR] = 2.10 (95% confidence interval [95% CI] 2.00-2.20) p > |z| < 0 using ECI; OR = 2.31 (CI 95% 2.21-2.41) p > |z| < 0 for WCI; and OR = 2.53 (CI 95% 2.40-2.67) p > |z| < 0 employing CCI. The area under the curve [AUC] = 0.714 (CI 95% 0.706-0.721) using as a predictor of in-hospital mortality CCI, AUC = 0.729 (CI 95% 0.721-0.737) for ECI and AUC = 0.750 (CI 95% 0.743-0.758) using WCI, with statistical significance (p < 0.001).
Conclusion:
Comorbidity plays an important role as a predictor of in-hospital mortality, with differences depending on the measurement scale used, the van Walraven comorbidity index being the best predictor of in-hospital mortality.
More Related Videos
Related Concept Videos
01:20Comparing the Survival Analysis of Two or More Groups
01:30Acute Coronary Syndrome III: Diagnostic Studies
01:24Kaplan-Meier Approach
01:12Hazard Ratio
For example, in a clinical trial...
01:30Heart Failure IV: Classification and Diagnostic Evaluation
01:20Actuarial Approach
Consider the example of a high-risk surgical procedure with significant early-stage mortality. A two-year clinical study is conducted,...