心力衰竭患者医院虚弱风险评分的验证

Zhenwei Teo, Ying Zi Oh, Weiliang Huang, Sheldon Lee, Ting Yu Chang, Aileen Lim, Lydia Euphemia Sim, Wrenzie Del Valle Espelata, Simon Conroy, B. H. Rosario
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摘要

背景:虚弱是老年人的普遍现象,是与年龄相关的生理功能和储备下降的结果。本研究旨在验证医院虚弱风险评分(HFRS)在预测老年心力衰竭(HF)住院患者的预后和住院率方面的作用。方法:本研究是对电子病历的回顾性分析。研究纳入了 2021 年 1 月 1 日至 2021 年 4 月 30 日期间在新加坡一家三级医院住院的年龄≥65 岁的高血压患者。患者被确定为价值驱动型护理路径中的心房颤动患者,并使用心房颤动的 ICD 编码。他们使用 HFRS 被归类为体弱低风险 (15)。结果共纳入 208 名老年心房颤动患者(平均年龄 79.4 岁;50.5% 为男性)。使用 HFRS,35.1% 的患者被认为有低度虚弱风险,46.2% 的患者有中度虚弱风险,18.8% 的患者有高度虚弱风险。体弱高风险人群的年龄比低度风险人群大(平均年龄分别为 84.8 岁和 76.5 岁;P<0.001)。女性的虚弱风险高于男性。单变量分析显示,高虚弱风险者的住院时间(LOS)更长,30 天、90 天和 365 天死亡率更高。在多变量分析中,HFRS 与较长的住院时间、90 天和 1 年死亡率有关。痴呆、急性心肌梗死和肾病在高危患者中更为常见。与夏尔森合并症指数(CCI)相比,HFRS 能更好地预测长期住院时间、30 天、90 天和 1 年死亡率以及 30 天再入院率。与结合使用 HFRS 和 CCI 相比,单独使用 HFRS 的预测效果更好。结论是HFRS较高的老年患者会增加医疗使用率,包括延长住院时间和提高死亡率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Validation of Hospital Frailty Risk Score in Heart Failure
Background: Frailty is prevalent in older people and results from age-related decline in physiological function and reserve. The objective of this study was to validate the Hospital Frailty Risk Score (HFRS) in predicting outcomes and hospitalisation usage in older hospitalised heart failure (HF) patients. Methods: This study was a retrospective review of electronic medical records. Patients aged ≥65 years admitted with HF to a Singapore tertiary hospital between 1 January 2021 and 30 April 2021 were included. Patients were identified as HF patients in the value-driven care pathway and using ICD codes for HF. They were categorised into low risk (<5), intermediate risk (5–15) and high risk (>15) of frailty using the HFRS. Results: A total of 208 older patients with HF were included (mean age 79.4 years; 50.5% males). Using the HFRS, 35.1% were deemed at low risk, 46.2% at intermediate risk and 18.8% at high risk of frailty. Those at high risk of frailty were older than those at low risk (mean age 84.8 versus 76.5 years, respectively; p<0.001). Women had a higher risk of frailty than men. Univariate analyses showed longer length of stay (LOS) and higher 30-, 90- and 365-day mortality in those at high frailty risk. In multivariate analyses, HFRS was associated with long LOS, 90-day and 1-year mortality. Dementia, acute MI and renal disease were more common in high-risk patients. Comparing HFRS with the Charlson Comorbidity Index (CCI), HFRS was a better predictor of long LOS, mortality at 30, 90, 1 year and 30-day readmission than CCI. HFRS alone was a better predictor than combining the HFRS and CCI. Conclusion: Older patients with higher HFRS have increased healthcare utilisation, including longer LOS and higher mortality.
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