Abstract
The Charlson Comorbidity Index (CCI) is the most widely used assessment tool to report the presence of comorbid conditions. The Barthel index (BI) is used to measure performance in activities of daily living. We prospectively investigated the performance of CCI or BI to predict length of hospital stay (LOS), mortality, cardiovascular (CV) mortality and rehospitalization in unselected older patients on admission to the emergency department (ED). We also studied the association of CCI or BI with costs. We consecutively enrolled 307 non-surgical patients ≥ 68years presenting to the ED with a wide range of comorbid conditions. Baseline characteristic, clinical presentation, laboratory data, echocardiographic parameters and hospital costs were compared among patients. All patients were followed up for mortality, CV mortality and rehospitalization within the following 12months. A multivariate analysis was performed. Mortality was increased for patients having a higher CCI or BI with a hazard ratio around 1.17-1.26 or 0.75-0.81 (obtained for different models) for one or ten point increase in CCI or BI, respectively. The prognostic impact of a high CCI or BI on CV mortality and rehospitalization was also significant. In a multiple linear regression using the same independent variables, CCI and BI were identified as a predictor of LOS in days. Multiple linear regression analysis did not confirm an association between CCI and costs, but for BI after adjusting for multiple factors. CCI and BI independently predict LOS, mortality, CV mortality, and rehospitalization in unselected older patients admitted to ED.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.