Independent researcher, Québec, Canada.
Département d'informatique, Université du Québec à Montréal, Québec, Canada.
Sci Rep. 2020 Feb 13;10(1):2601. doi: 10.1038/s41598-020-58782-1.
Composite diagnostic criteria are common in frailty research. We worry distinct populations may be linked to each other due to complicated criteria. We aim to investigate whether distinct populations might be considered similar based on frailty diagnostic criteria. The Functional Domains Model for frailty diagnosis included four domains: physical, nutritive, cognitive and sensory functioning. Health and Retirement Study participants with two or more deficiencies in the domains were diagnosed frail. The survival distributions were analyzed using discrete-time survival analysis. The distributions of the demographic characteristics and survival across the groups diagnosed with frailty were significantly different (p < 0.05). A deficiency in cognitive functioning was associated with the worst survival pattern compared with a deficiency in the other domains (adjusted p < 0.05). The associations of the domains with mortality were cumulative without interactions. Cognitive functioning had the largest effect size for mortality prediction (Odds ratios, OR = 2.37), larger than that of frailty status (OR = 1.92). The frailty diagnostic criteria may take distinct populations as equal and potentially assign irrelevant interventions to individuals without corresponding conditions. We think it necessary to review the adequacy of composite diagnostic criteria in frailty diagnosis.
综合诊断标准在衰弱研究中很常见。我们担心由于复杂的标准,不同的人群可能相互关联。我们旨在研究根据衰弱诊断标准,不同的人群是否可以被认为是相似的。用于衰弱诊断的功能域模型包括四个域:身体、营养、认知和感觉功能。在这些域中存在两个或更多缺陷的健康和退休研究参与者被诊断为衰弱。使用离散时间生存分析来分析生存分布。在诊断为衰弱的各组中,人口统计学特征和生存的分布差异显著(p<0.05)。与其他域的缺陷相比,认知功能缺陷与最差的生存模式相关(调整后的 p<0.05)。域与死亡率之间的关联是累积的,没有相互作用。认知功能对死亡率预测的影响最大(优势比,OR=2.37),大于衰弱状态(OR=1.92)。衰弱诊断标准可能将不同的人群视为平等,并可能为没有相应条件的个体分配不相关的干预措施。我们认为有必要审查衰弱诊断中综合诊断标准的充分性。