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社区居住的老年人群体中,虚弱的转变及其预测存在性别差异。

Gender differences in frailty transition and its prediction in community-dwelling old adults.

机构信息

Institute of Public Health, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany.

Institute of Biometry and Clinical Epidemiology, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt-Universität zu Berlin, Charitéplatz 1, 10117, Berlin, Germany.

出版信息

Sci Rep. 2022 May 5;12(1):7341. doi: 10.1038/s41598-022-11358-7.

Abstract

Frailty is very common in old age and often associated with adverse events. Transitioning between frailty states is possible in both directions (improvement and worsening) offering targets for interventions. Frailty is more prevalent in women, but little is known about the impact of gender on frailty transition. The aim of this study is to identify gender differences for frailty transition in older adults and to develop gender-stratified prognostic prediction models for frailty transition. We performed a longitudinal analyses of the Berlin Initiative (cohort) Study with a frailty follow-up of 2.1 years. Description of frailty transition using the frailty phenotype and development of prognostic prediction models using multivariable logistic regressions for transition (improvement or worsening) stratified by gender following the TRIPOD statement were performed. In total, the study population consisted of 1158 community-dwelling adults with a mean age of 84.4 years and of whom 55% were women. Out of 1158 participants 225 (19%) were robust, 532 (46%) prefrail and 401 (35%) frail. After 2.1 (IQR 2.0-2.3) years, half of the participants had transitioned between frailty states. Men worsened more often and those who were already frail died more often than women. Gender-stratified prediction models for frailty transition demonstrated that some predictors (age, self-rated health, cognitive impairment, baseline frailty status) were included in all models. While stroke, diabetes mellitus, smoking and glomerular filtration rate were unique predictors in the models for females, osteoarthritis, hospitalization and education were predictors in the models for males. There are gender differences in frailty transition rates, patterns and prediction. This supports the importance of considering gender when addressing frailty and targeting interventions in old age.

摘要

虚弱在老年人中很常见,通常与不良事件有关。虚弱状态在两个方向上(改善和恶化)都有可能发生转变,为干预提供了目标。女性中虚弱更为常见,但关于性别对虚弱转变的影响知之甚少。本研究旨在确定性别对老年人虚弱转变的差异,并为虚弱转变制定性别分层预后预测模型。我们对柏林倡议(队列)研究进行了纵向分析,虚弱随访时间为 2.1 年。使用虚弱表型描述虚弱转变,并根据 TRIPOD 声明,使用多变量逻辑回归为性别分层的转变(改善或恶化)开发预后预测模型。共有 1158 名居住在社区的成年人参与了这项研究,平均年龄为 84.4 岁,其中 55%为女性。在 1158 名参与者中,225 名(19%)为健壮,532 名(46%)为虚弱前期,401 名(35%)为虚弱。在 2.1 年后(IQR 2.0-2.3),一半的参与者在虚弱状态之间发生了转变。男性恶化的比例更高,而且已经虚弱的男性比女性死亡的比例更高。虚弱转变的性别分层预测模型表明,一些预测因素(年龄、自我评估健康状况、认知障碍、基线虚弱状况)包含在所有模型中。而在女性模型中,中风、糖尿病、吸烟和肾小球滤过率是独特的预测因素,而在男性模型中,骨关节炎、住院和教育是预测因素。虚弱转变率、模式和预测存在性别差异。这支持在处理虚弱和针对老年人群体的干预时考虑性别的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/c9c7/9072330/cce3ea6581d9/41598_2022_11358_Fig1_HTML.jpg

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