首页> 外文期刊>Archives of Gerontology and Geriatrics: An International Journal Integrating Experimental, Clinical and Social Studies on Ageing >The ability of three different models of frailty to predict all-cause mortality: Results from the European Male Aging Study (EMAS)
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The ability of three different models of frailty to predict all-cause mortality: Results from the European Male Aging Study (EMAS)

机译:三种不同的脆弱模型预测全因死亡率的能力:欧洲男性老龄化研究(EMAS)的结果

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Few studies have directly compared the ability of the most commonly used models of frailty to predict mortality among community-dwelling individuals. Here, we used a frailty index (FI), frailty phenotype (FP), and FRAIL scale (FS) to predict mortality in the EMAS. Participants were aged 40-79 years (n=2929) at baseline and 6.6% (n=193) died over a median 4.3 years of follow-up. The FI was generated from 39 deficits, including self-reported health, morbidities, functional performance and psychological assessments. The FP and FS consisted of five phenotypic criteria and both categorized individuals as robust when they had 0 criteria, prefrail as 1-2 criteria and frail as 3+ criteria. The mean FI increased linearly with age (r2=0.21) and in Cox regression models adjusted for age, center, smoking and partner status the hazard ratio (HR) for death for each unit increase of the FI was 1.49. Men who were prefrail or frail by either the FP or FS definitions, had a significantly increased risk of death compared to their robust counterparts. Compared to robust men, those who were FP frail at baseline had a HR for death of 3.84, while those who were FS frail had a HR of 3.87. All three frailty models significantly predicted future mortality among community-dwelling, middle-aged and older European men after adjusting for potential confounders. Our data suggest that the choice of frailty model may not be of paramount importance when predicting future risk of death, enabling flexibility in the approach used.
机译:很少有研究直接比较最常用的脆弱模型预测社区居民个体死亡率的能力。在这里,我们使用了脆弱指数(FI),脆弱表型(FP)和FRAIL量表(FS)来预测EMAS中的死亡率。参与者在基线时年龄为40-79岁(n = 2929),中位随访期为4.3年,死亡6.6%(n = 193)。 FI产生于39个缺陷,包括自我报告的健康状况,发病率,功能表现和心理评估。 FP和FS由5个表型标准组成,当它们具有0个标准,脆弱性为1-2个标准和脆弱性为3+个标准时,都将其分类为健壮个体。平均FI随年龄线性增加(r2 = 0.21),在针对年龄,中枢,吸烟和伴侣状态进行调整的Cox回归模型中,FI每增加1个,死亡的危险比(HR)为1.49。相对于健壮的同龄人而言,无论是FP还是FS定义都脆弱或虚弱的男性,其死亡风险显着增加。与健壮的男性相比,基线时FP虚弱的人的HR为3.84,而FS脆弱者的HR为3.87。在校正了潜在的混杂因素之后,所有这三种脆弱的模型都可以显着预测未来在社区居民,中年和欧洲男性中的死亡率。我们的数据表明,在预测未来死亡风险时,脆弱模型的选择可能不是最重要的,从而可以灵活使用所采用的方法。

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