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Verfasst von:Bahrmann, Anke [VerfasserIn]   i
 Benner, Laura [VerfasserIn]   i
 Christ, Michael [VerfasserIn]   i
 Bertsch, Thomas [VerfasserIn]   i
 Sieber, Cornel [VerfasserIn]   i
 Katus, Hugo [VerfasserIn]   i
 Bahrmann, Philipp [VerfasserIn]   i
Titel:The Charlson Comorbidity and Barthel Index predict length of hospital stay, mortality, cardiovascular mortality and rehospitalization in unselected older patients admitted to the emergency department
Verf.angabe:Anke Bahrmann, Laura Benner, Michael Christ, Thomas Bertsch, Cornel C. Sieber, Hugo Katus, Philipp Bahrmann
E-Jahr:2018
Jahr:8 November 2018
Fussnoten:Published online: 8 November 2018 ; Gesehen am 05.02.2020
Titel Quelle:Enthalten in: Aging clinical and experimental research
Ort Quelle:Berlin : Heidelberg : Springer, 2002
Jahr Quelle:2019
Band/Heft Quelle:31(2019), 9, Seite 1233-1242
ISSN Quelle:1720-8319
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.ConclusionCCI and BI independently predict LOS, mortality, CV mortality, and rehospitalization in unselected older patients admitted to ED.
DOI:doi:10.1007/s40520-018-1067-x
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext: https://doi.org/10.1007/s40520-018-1067-x
 DOI: https://doi.org/10.1007/s40520-018-1067-x
Datenträger:Online-Ressource
Sprache:eng
Sach-SW: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
K10plus-PPN:1689287322
Verknüpfungen:→ Zeitschrift

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