Nicola Veronese. Geriatric Unit, Department of Internal Medicine and Geriatrics, University of Palermo, Via del Vespro, 141, 90127 Palermo, Italy. Email:
J Frailty Aging. 2024;13(3):213-217. doi: 10.14283/jfa.2024.29.
Several indexes based on clinical and laboratory tests to identify frailty and to predict mortality have been produced. Only two studies, mixing clinical and laboratory parameters were made about a frailty index made of laboratory tests (FI-Lab) and mortality in older patients hospitalized for COVID-19. The aim of this study was to explore the accuracy and precision of an FI-Lab constructed with some common bio-humoral tests and mortality in a cohort of patients hospitalized for COVID-19.
The FI-Lab was constructed using 40 different bio-humoral tests during the first four days of hospitalization, with a score from 0 to 1. The association between FI-Lab and mortality was assessed using a multivariate Cox's regression analysis, reported as hazard ratios (HRs) and 95% confidence intervals (CIs). The accuracy of the FI-Lab was reported as area under the curve (AUC) and the precision with the C-Index.
376 patients (mean age: 65 years; 53.7% males) were initially included. During the follow-up period, 41 deceased. After adjusting for five different factors, an FI-Lab value >0.54, the median value of our cohort, was associated with a relative risk about five times greater than lower values. Modeling FI-LAB as a continous variable, each increase in 0.01 points was associated with an increased risk in mortality of 8.4% (HR=1.084; 95%CI: 1.039-2.044). The FI-Lab was highly accurate (AUC=0.91; 95%CI: 0.87-0.95) and precise (C-Index=0.81) in predicting death.
A simple index based on common laboratory tests can be used to predict mortality among older people hospitalized for COVID-19.
已经有几种基于临床和实验室检查的指标被开发出来,用于识别虚弱和预测死亡率。只有两项研究将临床和实验室参数混合在一起,研究了由实验室检查组成的虚弱指数(FI-Lab)和 COVID-19 住院老年患者的死亡率。本研究旨在探索使用一些常见的生物-体液检查构建的 FI-Lab 对 COVID-19 住院患者死亡率的准确性和精确性。
FI-Lab 是在住院的前四天内使用 40 种不同的生物-体液检查构建的,得分从 0 到 1。使用多变量 Cox 回归分析评估 FI-Lab 与死亡率之间的关联,报告为风险比(HRs)和 95%置信区间(CIs)。FI-Lab 的准确性报告为曲线下面积(AUC),精度报告为 C-指数。
最初纳入了 376 名患者(平均年龄:65 岁;53.7%为男性)。在随访期间,有 41 人死亡。在调整了五个不同的因素后,FI-Lab 值>0.54,即我们队列的中位数,与较低值相比,相对风险增加了五倍。将 FI-LAB 建模为连续变量,每增加 0.01 分,死亡率的风险就会增加 8.4%(HR=1.084;95%CI:1.039-2.044)。FI-Lab 在预测死亡方面具有高度的准确性(AUC=0.91;95%CI:0.87-0.95)和精确性(C-指数=0.81)。
一个基于常见实验室检查的简单指数可用于预测 COVID-19 住院老年患者的死亡率。