Centre of Network Biomedical Research on Frailty and Healthy Ageing (CIBERFES), Institute of Health Carlos III, Madrid, Spain; Institute of Biomedical Research, University Hospital of Getafe, Getafe, Madrid, Spain.
Institute of Biomedical Research, University Hospital of Getafe, Getafe, Madrid, Spain.
J Am Med Dir Assoc. 2020 Dec;21(12):1798-1802.e2. doi: 10.1016/j.jamda.2020.10.002. Epub 2020 Oct 8.
To evaluate the role of functional status along with other used clinical factors on the occurrence of death in patients hospitalized with COVID-19.
Prospective cohort study.
Public university hospital (Madrid).
A total of 375 consecutive patients with COVID-19 infection, admitted to a Public University Hospital (Madrid) between March 1 and March 31, 2020, were included in the Prospective Cohort study. Death was the main outcome. The main variable was disability in activities of daily living (ADL) assessed with the Barthel Index. Covariates included sex, age, severity index (Quick Sequential Organ Failure Assessment, qSOFA), polypharmacy (≥5 drugs in the month before admission), and comorbidity (≥3 diseases). Multivariable logistic regression was used to identify risk factors for adverse outcomes. Estimated model coefficients served to calculate the expected probability of death for a selected combination of 5 variables: Barthel Index, sex, age, comorbidities, and severity index (qSOFA).
Mean age was 66 years (standard deviation 15.33), and there were 207 (55%) men. Seventy-four patients died (19.8%). Mortality was associated with low Barthel Index (odds ratio per 5-point decrease 1.11, 95% confidence interval 1.03-1.20), male sex (0.23, 0.11-0.47), age (1.07, 1.03-1.10), and comorbidity (2.15, 1.08-4.30) but not with qSOFA (1.29, 0.87-1.93) or polypharmacy (1.54, 0.77-3.08). Calculated mortality risk ranged from 0 to 0.78.
Functional status predicts death in hospitalized patients with COVID-19. Combination of 5 variables allows to predict individual probability of death. These findings provide useful information for the decision-making process and management of patients.
评估功能状态以及其他临床因素在因 COVID-19 住院的患者死亡中的作用。
前瞻性队列研究。
公立大学医院(马德里)。
共纳入 375 例 2020 年 3 月 1 日至 3 月 31 日期间在公立大学医院(马德里)住院的连续 COVID-19 感染患者,进行前瞻性队列研究。死亡是主要结局。主要变量是日常生活活动(ADL)障碍,采用巴氏指数评估。协变量包括性别、年龄、严重程度指数(快速序贯器官衰竭评估,qSOFA)、多药治疗(入院前 1 个月内使用≥5 种药物)和合并症(≥3 种疾病)。采用多变量逻辑回归识别不良结局的危险因素。估计模型系数用于计算选定的 5 个变量(巴氏指数、性别、年龄、合并症和严重程度指数(qSOFA)组合的死亡预期概率。
平均年龄为 66 岁(标准差 15.33),其中 207 名(55%)为男性。74 例患者死亡(19.8%)。死亡率与巴氏指数低(每降低 5 分的比值比为 1.11,95%置信区间为 1.03-1.20)、男性(0.23,0.11-0.47)、年龄(1.07,1.03-1.10)和合并症(2.15,1.08-4.30)相关,但与 qSOFA(1.29,0.87-1.93)或多药治疗(1.54,0.77-3.08)无关。计算的死亡率风险范围为 0 至 0.78。
功能状态可预测 COVID-19 住院患者的死亡。5 个变量的组合可预测个体死亡的概率。这些发现为决策过程和患者管理提供了有用的信息。