Guo-Ping Shi1, Teng Ma2, Yin-Sheng Zhu1, Zheng-Dong Wang1, Xue-Feng Chu1, Yong Wang1, Ze-Kun Chen3, Wen-Dong Xu2, Xiao-Feng Wang4, Jiang-Hong Guo5, Xiao-Yan Jiang6. 1. Rugao People's hospital, Rugao, Jiangsu, China. 2. National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China. 3. Key Laboratory of Arrhythmias of the Ministry of Education of China, Tongji University School of Medicine, Shanghai, China; Department of Pathology and Pathophysiology, Tongji University of Medicine, Shanghai, China. 4. National Clinical Research Center for Aging and Medicine, Huashan Hospital, Fudan University, Shanghai, China; MOE Key Laboratory of Contemporary Anthropology, School of Life Science, Fudan University, Shanghai, China. 5. Rugao People's hospital, Rugao, Jiangsu, China. Electronic address: guojianghongRUGAO@163.com. 6. Key Laboratory of Arrhythmias of the Ministry of Education of China, Tongji University School of Medicine, Shanghai, China; Department of Pathology and Pathophysiology, Tongji University of Medicine, Shanghai, China. Electronic address: xiaoyanjiang001@163.com.
Abstract
BACKGROUND: To explore the associations of frailty phenotype and frailty index (FI) defined frailty and pre-frailty with mortality in a Chinese elderly population. METHODS: Data of 1788 community-dwelling elders aged 70-84 years from the ageing arm of Rugao Longevity and Ageing Study, a prospective cohort study, were used. Frailty phenotype was defined using modified Fried's phenotype (FP) criteria and FI was constructed using 45 health deficits. Mortality was ascertained using the Death Registry of Rugao's Civil Affairs Bureau. RESULTS: During 3-year follow-up, 149 (8.3%) of the 1788 elderly subjects died. For frailty phenotype, about 9.5% of the elderly were frail and 43% were pre-frail. For FI, frail (FI > 0.21) was approximately 27.5%, and pre-frail (FI: 0.1-0.21) was approximately 51.3%. Highest mortality was observed among frail participants defined by both FP and FI criteria (all Log Rank P < 0.05). Frailty defined by the frailty index was associated with a 2.31 fold (95% CI 1.16-4.6) risk of all-cause death compared with robust elderly. Compared with the robust elderly, not only frailty (HR 2.24, 95% CI 1.31-3.83) defined by frailty phenotype but also pre-frailty (HR 1.51, 95% CI 1.03-2.21) was associated with risk of all-cause mortality. CONCLUSIONS: Frailty, defined by either phenotype or index, is associated with increased risks of mortality in elderly Chinese community population.
BACKGROUND: To explore the associations of frailty phenotype and frailty index (FI) defined frailty and pre-frailty with mortality in a Chinese elderly population. METHODS: Data of 1788 community-dwelling elders aged 70-84 years from the ageing arm of Rugao Longevity and Ageing Study, a prospective cohort study, were used. Frailty phenotype was defined using modified Fried's phenotype (FP) criteria and FI was constructed using 45 health deficits. Mortality was ascertained using the Death Registry of Rugao's Civil Affairs Bureau. RESULTS: During 3-year follow-up, 149 (8.3%) of the 1788 elderly subjects died. For frailty phenotype, about 9.5% of the elderly were frail and 43% were pre-frail. For FI, frail (FI > 0.21) was approximately 27.5%, and pre-frail (FI: 0.1-0.21) was approximately 51.3%. Highest mortality was observed among frail participants defined by both FP and FI criteria (all Log Rank P < 0.05). Frailty defined by the frailty index was associated with a 2.31 fold (95% CI 1.16-4.6) risk of all-cause death compared with robust elderly. Compared with the robust elderly, not only frailty (HR 2.24, 95% CI 1.31-3.83) defined by frailty phenotype but also pre-frailty (HR 1.51, 95% CI 1.03-2.21) was associated with risk of all-cause mortality. CONCLUSIONS: Frailty, defined by either phenotype or index, is associated with increased risks of mortality in elderly Chinese community population.
Authors: Anh Trung Nguyen; Long Hoang Nguyen; Thanh Xuan Nguyen; Huong Thi Thu Nguyen; Tam Ngoc Nguyen; Hai Quang Pham; Bach Xuan Tran; Carl A Latkin; Cyrus S H Ho; Roger C M Ho; Thang Pham; Huyen Thi Thanh Vu Journal: Int J Environ Res Public Health Date: 2019-10-12 Impact factor: 3.390