Charlson comorbidity index derived from chart review or administrative data: Agreement and prediction of mortality in intensive care patients
Journal article, Peer reviewed
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Original versionStavem, K., Hoel, H., Skjaker, S. A., & Haagensen, R. (2017). Charlson comorbidity index derived from chart review or administrative data: agreement and prediction of mortality in intensive care patients. Clinical epidemiology, 9, 311. http://dx.doi.org/10.2147/CLEP.S133624
Purpose: This study compared the Charlson comorbidity index (CCI) information derived from chart review and administrative systems to assess the completeness and agreement between scores, evaluate the capacity to predict 30-day and 1-year mortality in intensive care unit (ICU) patients, and compare the predictive capacity with that of the Simplified Acute Physiology Score (SAPS) II model. Patients and methods: Using data from 959 patients admitted to a general ICU in a Norwegian university hospital from 2007 to 2009, we compared the CCI score derived from chart review and administrative systems. Agreement was assessed using % agreement, kappa, and weighted kappa. The capacity to predict 30-day and 1-year mortality was assessed using logistic regression, model discrimination with the c-statistic, and calibration with a goodness-of-fit statistic. Results: The CCI was complete (n=959) when calculated from chart than from administrative data (n=839). Agreement was good, with a weighted kappa of 0.667 (95% confidence interval: 0.596–0.714). The c-statistics for categorized CCI scores from charts and administrative data were similar in the model that included age, sex, and type of admission: 0.755 and 0.743 for 30-day mortality, respectively, and 0.783 and 0.775, respectively, for 1-year mortality. Goodness-of-fit statistics supported the model fit. Conclusion: The CCI scores from chart review and administrative data showed good agreement and predicted 30-day and 1-year mortality in ICU patients. CCI combined with age, sex, and type of admission predicts mortality almost as well as the physiology-based SAPS II.