Objectives To conduct a systematic review of studies reporting on the development or
validation of comorbidity indices using administrative health data and compare their ability to …

Background: Adjustment for comorbidities is common in performance benchmarking and risk
prediction. Despite the exponential upsurge in the number of articles citing or comparing …

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

Comorbidity scores are extensively used in observational medical research studies to avoid
potential bias when the burden of disease could be confounding the association of interest …

Background: The most used score to measure comorbidity is the Charlson index. Its
application to a health care administrative database including International Classification of …

Background: Comorbidity adjustment is an important component of health services research
and clinical prognosis. When adjusting for comorbidities in statistical models, researchers …

Objectives. This study attempts to develop a comprehensive set of comorbidity measures for
use with large administrative inpatient datasets. Methods. The study involved clinical and …

Background Multiple comorbidity measures have been developed for risk-adjustment in
studies using administrative data, but it is unclear which measure is optimal for specific …

Background: Comorbidity measures are necessary to describe patient populations and
adjust for confounding. In direct comparisons, studies have found the Elixhauser comorbidity …

Comorbidity, additional disease beyond the condition under study that increases a patient's
total burden of illness, is one dimension of health status. For investigators working with …