Groupe de recherche Solidage, Lady Davis Institute, Jewish General Hospital, 3755 Chemin-de-la-Côte-Ste-Catherine, Montréal, Québec, H3T 1E2, Canada.
Département de gestion, d'évaluation et de politique de santé, École de santé publique, Université de Montréal, C.P. 6128, Succursale Centre-Ville, Montréal, Québec, H3C 3J7, Canada.
BMC Geriatr. 2020 Oct 27;20(1):429. doi: 10.1186/s12877-020-01839-7.
Fried's Phenotype Model of Frailty (PMF) postulates that frailty is a syndrome. Features of a syndrome are a heterogeneous population that can be split into at least two classes, those presenting and those not presenting the syndrome. Syndromes are characterized by a specific mixture of signs and symptoms which increase in prevalence, from less to more severe classes. So far, the null hypothesis of homogeneity - signs and symptoms of frailty cannot identify at least two classes - has been tested using Latent Class Analysis (LCA) on the five dichotomized components of PMF (unintentional weight loss, exhaustion, weakness, slowness, and low physical activity). The aim of this study is to investigate further the construct validity of frailty as a syndrome using the extension offered by Factor Mixture Models (FMM).
LCA on dichotomized scores and FMM on continuous scores were conducted to test homogeneity on the five PMF components in a sample of 1643 community-dwelling older adults living in Québec, Canada (FRéLE).
With dichotomized LCA, three frailty classes were found: robust, prefrail and frail, and the hypothesis of homogeneity was rejected. However, in FMM, frailty was better represented as a continuous variable than as latent heterogeneous classes. Thus, the PMF measurement model of frailty did not meet the features of a syndrome in this study.
Using the FRéLE cohort, the PMF measurement model validity is questioned. Valid measurement of a syndrome depends on an understanding of its etiological factors and pathophysiological processes, and on a modelling of how the measured components are linked to these processes. Without these features, assessing frailty in a clinical setting may not improve patient health. Research on frailty should address these issues before promoting its use in clinical settings.
弗赖德脆弱表型模型(PMF)假设脆弱是一种综合征。综合征的特征是人群异质性,可以分为至少两个类别,即出现和不出现综合征的人群。综合征的特点是特定的体征和症状混合,这些体征和症状的患病率从较轻到较重的类别逐渐增加。到目前为止,使用潜在类别分析(LCA)对 PMF 的五个二分组件(非故意体重减轻、疲惫、虚弱、缓慢和低身体活动量)进行了同质性的零假设 - 脆弱的体征和症状不能识别至少两个类别 - 已经得到了检验。本研究的目的是使用因子混合模型(FMM)提供的扩展进一步研究脆弱作为综合征的结构有效性。
对来自加拿大魁北克省的 1643 名社区居住的老年人(FRéLE)样本进行了二分得分的 LCA 和连续得分的 FMM,以检验 PMF 五个组件的同质性。
使用二分 LCA 发现了三个脆弱类别:健壮、虚弱前期和虚弱,并且同质性假设被拒绝。然而,在 FMM 中,脆弱被更好地表示为连续变量,而不是潜在的异质类别。因此,在这项研究中,PMF 脆弱测量模型不符合综合征的特征。
使用 FRéLE 队列,对 PMF 测量模型的有效性提出了质疑。综合征的有效测量取决于对其病因因素和病理生理过程的理解,以及对所测量的成分如何与这些过程相关联的建模。如果没有这些特征,在临床环境中评估脆弱可能不会改善患者的健康状况。在促进其在临床环境中的使用之前,脆弱方面的研究应该解决这些问题。