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Charlson Comorbidity Index: A Critical Review of Clinimetric Properties

期刊

PSYCHOTHERAPY AND PSYCHOSOMATICS
卷 91, 期 1, 页码 8-35

出版社

KARGER
DOI: 10.1159/000521288

关键词

Comorbidity; Clinimetric properties; Indices; Prognosis; Sensitivity

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The Charlson Comorbidity Index (CCI) is a reliable assessment tool that predicts long-term mortality. It demonstrates excellent inter-rater reliability and concurrent validity, and is clinically sensitive and incrementally valid in various medical conditions.
The present critical review was conducted to evaluate the clinimetric properties of the Charlson Comorbidity Index (CCI), an assessment tool designed specifically to predict long-term mortality, with regard to its reliability, concurrent validity, sensitivity, incremental and predictive validity. The original version of the CCI has been adapted for use with different sources of data, ICD-9 and ICD-10 codes. The inter-rater reliability of the CCI was found to be excellent, with extremely high agreement between self-report and medical charts. The CCI has also been shown either to have concurrent validity with a number of other prognostic scales or to result in concordant predictions. Importantly, the clinimetric sensitivity of the CCI has been demonstrated in a variety of medical conditions, with stepwise increases in the CCI associated with stepwise increases in mortality. The CCI is also characterized by the clinimetric property of incremental validity, whereby adding the CCI to other measures increases the overall predictive accuracy. It has been shown to predict long-term mortality in different clinical populations, including medical, surgical, intensive care unit (ICU), trauma, and cancer patients. It may also predict in-hospital mortality, although in some instances, such as ICU or trauma patients, the CCI did not perform as well as other instruments designed specifically for that purpose. The CCI thus appears to be clinically useful not only to provide a valid assessment of the patient's unique clinical situation, but also to demarcate major diagnostic and prognostic differences among subgroups of patients sharing the same medical diagnosis. (c) 2022 The Author(s). Published by S. Karger AG, Basel

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