Anke Bahrmann1, Laura Benner2, Michael Christ3, Thomas Bertsch4, Cornel C Sieber5, Hugo Katus1, Philipp Bahrmann6. 1. Department of Cardiology, Angiology and Pneumology, University Hospital of Heidelberg, Heidelberg, Germany. 2. Institute of Medical Biometry and Informatics, University of Heidelberg, Heidelberg, Germany. 3. Department of Emergency Medicine, Luzerner Kantonsspital, Lucerne, Switzerland. 4. Institute of Clinical Chemistry, Laboratory Medicine and Transfusion Medicine, General Hospital Nuremberg, Paracelsus Medical University, Nuremberg, Germany. 5. Institute for Biomedicine of Aging, Friedrich-Alexander-University, Kobergerstr. 60, 90408, Nuremberg, Germany. 6. Institute for Biomedicine of Aging, Friedrich-Alexander-University, Kobergerstr. 60, 90408, Nuremberg, Germany. philipp.bahrmann@fau.de.
Abstract
BACKGROUND AND AIMS: 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. METHODS: We consecutively enrolled 307 non-surgical patients ≥ 68 years 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 12 months. A multivariate analysis was performed. RESULTS: 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. CONCLUSION: CCI and BI independently predict LOS, mortality, CV mortality, and rehospitalization in unselected older patients admitted to ED.
BACKGROUND AND AIMS: 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. METHODS: We consecutively enrolled 307 non-surgical patients ≥ 68 years 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 12 months. A multivariate analysis was performed. RESULTS: 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. CONCLUSION:CCI and BI independently predict LOS, mortality, CV mortality, and rehospitalization in unselected older patients admitted to ED.
Entities:
Keywords:
Activities of daily living; Aged; Decision support techniques; Emergency department; Geriatric assessment/methods; Hospital mortality; Kaplan–Meier estimate; Predictive value of tests; Prognosis; Proportional hazards models: prospective studies; Risk assessment
Authors: Ana María Porcel-Gálvez; Sergio Barrientos-Trigo; Eugenia Gil-García; Olivia Aguilera-Castillo; Antonio Juan Pérez-Fernández; Elena Fernández-García Journal: Int J Environ Res Public Health Date: 2020-10-29 Impact factor: 3.390
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