Leblanc Camille, Godaert Lidvine, Dramé Moustapha, Bujoreanu Paul, Collart Michèle, Hurtaud Aline, Novella Jean-Luc, Sanchez Stéphane
Médecine générale, Piney, France.
Pôle de gériatrie et de gérontologie, CHU de Martinique, Fort-de-France, France.
Geriatr Psychol Neuropsychiatr Vieil. 2020 Mar 1;18(1):34-42. doi: 10.1684/pnv.2019.0827.
The aim of this study was to describe the predictive role of the modified SEGA fragility score on nursing home admission, rehospitalization, falls and mortality.
We performed a prospective, single-center cohort study in patients leaving geriatric hospitalization between July 2016 and February 2017, with follow-up at 6 months. Patients 65 years of age and over, returning home, were included. The primary outcome measure was admission to an institution at 6 months. We realized a Cox model to explore the predictive character of the variables.
Thirty-three patients (18.4%), mean age 80.9 years (± 6.5), were not very fragile. At 6 months, 13.5% of the fragile or very fragile patients and 1.2% of the patients who were not very fragile had entered the institution (p = 0.169). Fragility status was statistically significantly associated with rehospitalization at 3 months (p = 0.026) and single or multiple drop at 6 months) month (p = 0.003).
The SEGAm grid would predict the occurrence of derogatory events and improve return home.
本研究旨在描述改良的SEGA脆弱性评分在养老院入住、再次住院、跌倒和死亡率方面的预测作用。
我们对2016年7月至2017年2月间老年住院出院患者进行了一项前瞻性单中心队列研究,并进行了6个月的随访。纳入65岁及以上回家的患者。主要结局指标是6个月时入住机构情况。我们构建了Cox模型以探索变量的预测特征。
33例患者(18.4%),平均年龄80.9岁(±6.5),脆弱性较低。6个月时,脆弱或非常脆弱的患者中有13.5%进入机构,而脆弱性较低的患者中有1.2%进入机构(p = 0.169)。脆弱性状态与3个月时再次住院(p = 0.026)以及6个月时单次或多次跌倒(p = 0.003)在统计学上显著相关。
SEGAm网格可预测不良事件的发生并改善回家情况。