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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

机译:Charlson合并症和Barthel指数预测未选定的老年患者的住院住院,死亡率,心血管死亡率和再生活,征收急诊部门

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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.
机译:背景和AIMS Charlson合并症指数(CCI)是最广泛使用的评估工具,以报告合并条件的存在。 Barthel指数(BI)用于测量日常生活活动中的性能。我们预先调查了CCI或BI的表现,预测医院住院(LOS),死亡率,心血管(CV)死亡率和在未选择的老年患者的急诊部门(ED)中的死亡率和再生。我们还研究了CCI或BI的关联。方法我们连续注册了307例非手术患者> = 68岁,呈现出广泛的合并条件。患者比较了基线特征,临床表现,实验室数据,超声心动图参数和医院费用。所有患者在接下来的12个月内跟进了死亡率,CV死亡率和再生长。进行多变量分析。结果增加了患者的患者,危险比为1.17-1.26或0.75-0.81(不同模型获得)分别为CCI或BI的危险比的患者增加了死亡率。高CCI或BI对CV死亡率和再生长的预后影响也显着。在使用相同的独立变量的多线性回归中,CCI和BI被识别为LOS的预测因子。多个线性回归分析未确认CCI和成本之间的关联,但在调整多个因素后为BI。结论CCI和BI独立预测未选择的老年患者的洛杉矶,死亡率,CV死亡率和再生生长。

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