Ng Tze Pin, Feng Liang, Nyunt Ma Shwe Zin, Larbi Anis, Yap Keng Bee
Gerontology Research Programme, Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
Gerontology Research Programme, Department of Psychological Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.
J Am Med Dir Assoc. 2014 Sep;15(9):635-42. doi: 10.1016/j.jamda.2014.03.008. Epub 2014 Apr 17.
Currently there is no risk factor scale that identifies older persons at risk of frailty.
In this study, we identified significant multisystem risk factors of frailty, developed a simple frailty risk index, and evaluated it for use in primary care on an external validation cohort of community-living older persons.
DESIGN, SETTING, AND PARTICIPANTS: We used cross-sectional data of 1685 older adults aged 55 and older in the Singapore Longitudinal Ageing Studies (SLAS) to identify 13 salient risk factors among 40 known and putative risk factors of the frailty phenotype (weakness, slowness, low physical activity, weight loss, and exhaustion). In a validation cohort (n = 2478) followed for 2 years, we evaluated the validity of Frailty Risk Index (FRI).
Frailty at baseline and functional dependency, hospitalization, and SF12 physical component summary (PCS) scores at 2-year follow-up were measured among people in the validation cohort.
The components (weighted scores) of the FRI are age older than 75 (2), no education (1), heart failure (1), respiratory disorders (2), stroke (2), depressive symptoms (3), hearing impairment (3), visual impairment (1), FEV1/FVC lower than 0.7 (1), eGFR lower than 60 mL/min/1.73 m(2) (1), nutritional risk score of 3 or higher (2), anemia (1), and white cell counts (× 10(9)/L) of 6.5 or more (1). In the validation cohort, the FRI (0 to 12) was significantly associated with prefrailty (OR, 1.20 per unit; 95% CI 1.19-1.27) and frailty (OR 1.80 per unit; 95% CI 1.65-1.95). The FRI predicted subsequent IADL-ADL dependency (OR1.19; 95% CI 1.11-1.27), hospitalization (OR .14; 95% CI 1.05-1.24), lowest quintile of SF12-PCS (OR 1.17; 95% CI 1.11-1.25), and combined adverse health outcomes (OR 1.16; 95% CI 1.09-1.22).
The FRI is a validated instrument for assessing frailty risk in community-living older persons. FRI may be a useful rapid assessment tool to identify vital body system deficits underlying the frailty syndrome.
目前尚无用于识别有衰弱风险的老年人的风险因素量表。
在本研究中,我们确定了衰弱的重要多系统风险因素,制定了一个简单的衰弱风险指数,并在一个社区居住老年人的外部验证队列中对其在初级保健中的应用进行评估。
设计、设置和参与者:我们使用了新加坡纵向老龄化研究(SLAS)中1685名55岁及以上老年人的横断面数据,在衰弱表型(虚弱、行动迟缓、低体力活动、体重减轻和疲惫)的40个已知和假定风险因素中确定了13个显著风险因素。在一个随访2年的验证队列(n = 2478)中,我们评估了衰弱风险指数(FRI)的有效性。
在验证队列人群中测量基线时的衰弱情况以及2年随访时的功能依赖、住院情况和SF12身体成分汇总(PCS)评分。
FRI的组成部分(加权分数)包括年龄大于75岁(2分)、未接受教育(1分)、心力衰竭(1分)、呼吸系统疾病(2分)、中风(2分)、抑郁症状(3分)、听力障碍(3分)、视力障碍(1分)、第一秒用力呼气容积/用力肺活量低于0.7(1分)、估算肾小球滤过率低于60 mL/min/1.73 m²(1分)、营养风险评分3分或更高(2分)、贫血(1分)以及白细胞计数(×10⁹/L)为6.5或更高(1分)。在验证队列中,FRI(0至12分)与衰弱前期(OR,每单位1.20;95%CI 1.19 - 1.27)和衰弱(OR每单位1.80;95%CI 1.65 - 1.95)显著相关。FRI预测了随后的工具性日常生活活动 - 日常生活活动依赖(OR 1.19;95%CI 1.11 - 1.27)、住院(OR 1.14;95%CI 1.05 - 1.24)、SF12 - PCS最低五分位数(OR 1.17;95%CI 1.11 - 1.25)以及综合不良健康结局(OR 1.16;95%CI 1.09 - 1.22)。
FRI是一种经过验证的用于评估社区居住老年人衰弱风险的工具。FRI可能是一种有用的快速评估工具,可识别衰弱综合征背后重要身体系统的缺陷。