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

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 It is important to find a comorbidity measure with better performance for use with
administrative data. The new method proposed by Elixhauser et al. has never been …

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

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 …

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 …

Comorbidities are conditions that coexist with a disease of interest, and may lead to a
delayed diagnosis, be confounders in analysis of clinical status and course, and increase …

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

Background: Comorbidities may have an important impact on survival, and comorbidity
scores are often implemented in studies assessing prognosis. The Charlson Comorbidity …

The object of this article was to systematically review available methods to measure
comorbidity and to assess their validity and reliability. A search was made in Medline and …