法国电子健康记录数据库中基于CRP、血红蛋白、白蛋白和维生素D的生物脆弱性评分的开发和验证:一项横断面研究

BMJ public health Pub Date : 2025-03-23 eCollection Date: 2025-01-01 DOI:10.1136/bmjph-2024-001941
Aurélie Mailliez, Maxime Leroy, Michael Génin, Elodie Drumez, François Puisieux, Jean-Baptiste Beuscart, Ivan Bautmans, Pierre Balayé, Eric Boulanger
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引用次数: 0

摘要

目标:随着老年人在人口中所占比例的增加,及时容易地发现虚弱,使有针对性的干预和适当的监测成为可能,这将是世界范围内一项重大的公共卫生和经济挑战。基于一项综述和荟萃分析,显示c反应蛋白(CRP)、血红蛋白、白蛋白和维生素D与虚弱相关,我们旨在开发和验证使用这些生物标志物检测虚弱的生物学评分。设计:我们使用法国里尔大学医院的电子医疗数据库进行了一项回顾性、横断面、单中心研究。参与者:纳入标准为2008年1月1日至2021年12月31日期间在里尔大学医院住院的50岁及以上患者。我们确定了测量CRP、血红蛋白、白蛋白和维生素D水平的患者。我们选择的患者,其测定值落在正常阈值,急性临床情况之外。主要结果测量:为了评估虚弱,我们使用了一种适用于电子医疗数据库的量表,称为医院虚弱风险评分。为了开发和验证预测性虚弱评分,将整个人群分为开发组和验证组。结果:纳入26 554例患者,其中开发队列17 702例,验证队列8852例。基于多变量分析的结果,我们建立了一个将CRP、血红蛋白、白蛋白和维生素D与年龄和性别相结合的方程,以获得一个被称为b虚弱(生物虚弱)评分。在验证队列中,该评分曲线下面积为0.78(0.77-0.80),负预测值为83.7%。结论:这项研究首次在医院中开发并验证了一种基于简单、易于测量的生物标志物的生物评分,用于在日常医疗实践中识别虚弱患者。需要进一步的研究来验证它的使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Development and validation of a biological frailty score based on CRP, haemoglobin, albumin and vitamin D within an electronic health record database in France: a cross-sectional study.

Objectives: To easily detect frailty in a timely fashion, enabling targeted interventions and appropriate monitoring, will be a major worldwide public health and economic challenge as the proportion of older people increases in the population. Based on a review and meta-analysis showing that C-reactive protein (CRP), haemoglobin, albumin and vitamin D are associated with frailty, we aimed to develop and validate a biological score using these biomarkers for the detection of frailty.

Design: We conducted a retrospective, cross-sectional, monocentric study using the electronic healthcare database of Lille University Hospital, France.

Participants: Inclusion criteria were patients aged 50 and over, being hospitalised at Lille University Hospital between 1 January 2008 and 31 December 2021. We identified patients whose CRP, haemoglobin, albumin and vitamin D levels were measured. We selected patients whose assays fell within normal thresholds, outside acute clinical situations.

Main outcome measures: To assess frailty, we used a scale adapted to electronic healthcare database, called the Hospital Frailty Risk Score. To develop and validate the predictive frailty score, the whole population was divided into a development and a validation cohort.

Results: 26 554 patients were included, of which 17 702 were in the development cohort and 8852 in the validation cohort. Based on the results of the multivariate analysis, we developed an equation combining CRP, haemoglobin, albumin and vitamin D with age and sex to obtain a score referred to as the bFRAil (biological FRAilty) score. Within the validation cohort, the area under the curve for this score is 0.78 (0.77-0.80) and the negative predictive value is 83.7%.

Conclusions: This study has made it possible, for the first time, to develop and validate in a hospital setting a biological score called bFRAil score based on simple, easily measurable biomarkers for identifying frail patients in daily medical practice. Further studies are needed to validate its use.

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