Comorbidity is an important confounder in epidemiologic studies. The authors compared the
predictive performance of comorbidity scores for use in epidemiologic research with …

Background Comorbidity scores are increasingly used to reduce potential confounding in
epidemiological research. Our objective was to compare metrical and practical properties of …

OBJECTIVE: To compare the ability of commonly used measures of medical comorbidity
(ambulatory care groups [ACGs], Charlson comorbidity index, chronic disease score …

OBJECTIVE: The performance of standard comorbidity scores to control confounding is
poorly defined in health care utilization data across elderly populations. We sought to …

Claims-based measures of comorbid illness severity have generally relied on the diagnoses
listed for a single hospitalization. Unfortunately, such diagnostic information is often limited …

Evaluation of co-morbidity data is essential in health outcomes research. Co-morbidity data
derived from administrative databases has been criticized for lacking the accuracy required …

Background. The Chronic Disease Score is a risk-adjustment metric based on age, gender,
and history of dispensed drugs. We compared four versions of the score for their ability to …

OBJECTIVE: To develop and validate a single numerical comorbidity score for predicting
short-and long-term mortality, by combining conditions in the Charlson and Elixhauser …

The objective of this study was to develop a prospectively applicable method for classifying
comorbid conditions which might alter the risk of mortality for use in longitudinal studies. A …

Objective. To define and improve the performance of existing comorbidity scores in
predicting mortality in Medicare enrollees. Data Sources. Study participants were two …