Department of Geriatrics, Peking University Third Hospital, Beijing, 100191, People's Republic of China.
Research Center of Clinical Epidemiology, Peking University Third Hospital, Beijing, 100191, People's Republic of China.
Clin Interv Aging. 2024 Jul 23;19:1351-1359. doi: 10.2147/CIA.S469073. eCollection 2024.
It has been shown that lower Barthel's index (BI) at admission is associated with a higher in-hospital mortality. There is a lack of evidence regarding the association between the change in BI during hospitalization and mortality after discharge. Our purpose was to determine whether the BI change during hospitalization is associated with all-cause mortality in older adults with COVID-19 pneumonia.
We conducted a retrospective cohort study of 330 participants at Peking University Third Hospital during the COVID-19 pandemic period. In order to analyze the time to death data, a Kaplan-Meier survival curve was used. We used restricted cubic splines to analyze the association between BI change and all-cause mortality among COVID-19 pneumonia patients aged over 80 years old. Threshold effect analysis was used to assess the ability of BI change score to predict all-cause mortality.
Our study included 330 patients aged over 80 years with COVID-19 pneumonia. The Kaplan-Meier curve for mortality showed significantly worst survival with reduced BI among three groups (χ= 6.896, < 0.05). There was a non-linear association between the BI change and all-cause mortality ( for all over <0.001). The effect sizes on the left and right sides of the inflection point were 0.958 (HR: 0.958, 95% CI 0.932-0.958, < 0.05) and 1.013 (HR: 1.013, 95% CI 0.967-1.062, > 0.05), respectively.
Reduced BI during hospitalization was associated with the highest mortality risk. It is crucial to monitor BI change among COVID-19 pneumonia patients aged over 80 years old.
已有研究表明,入院时较低的巴氏指数(BI)与住院期间的死亡率较高相关。但住院期间 BI 的变化与出院后死亡率之间的关系仍缺乏证据。本研究旨在确定住院期间 BI 的变化是否与 COVID-19 肺炎老年患者的全因死亡率相关。
我们对 COVID-19 大流行期间北京大学第三医院的 330 名患者进行了回顾性队列研究。为了分析死亡时间数据,我们使用 Kaplan-Meier 生存曲线。我们使用限制立方样条分析了 80 岁以上 COVID-19 肺炎患者 BI 变化与全因死亡率之间的关系。采用阈值效应分析评估 BI 变化评分预测全因死亡率的能力。
本研究纳入了 330 名 80 岁以上的 COVID-19 肺炎患者。死亡率的 Kaplan-Meier 曲线显示,BI 降低的三组患者的生存率明显更差(χ=6.896, <0.05)。BI 变化与全因死亡率之间存在非线性关联( <0.001)。拐点左右两侧的效应大小分别为 0.958(HR:0.958,95%CI 0.932-0.958, <0.05)和 1.013(HR:1.013,95%CI 0.967-1.062, >0.05)。
住院期间 BI 降低与最高的死亡风险相关。监测 80 岁以上 COVID-19 肺炎患者的 BI 变化至关重要。