| 樊俊宁,孙至佳,余灿清,郭彧,孙点剑一,裴培,杜怀东,陈君石,陈铮鸣,吕筠,李立明,代表中国慢性病前瞻性研究项目协作组.Fried表型和衰弱指数与死亡风险关联的比较分析[J].Chinese journal of Epidemiology,2021,42(7):1179-1187 |
| Fried表型和衰弱指数与死亡风险关联的比较分析 |
| Comparison of Fried phenotype and frailty index and their associations with risk of mortality |
| Received:March 10, 2021 |
| DOI：10.3760/cma.j.cn112338-20210310-00192 |
| KeyWord: Fried表型 衰弱指数 死亡 前瞻性队列研究 中国人 成年人 |
| English Key Word: Fried phenotype Frailty index Mortality Prospective cohort study Chinese Adult |
| FundProject:国家自然科学基金（81941018）；中国香港Kadoorie Charitable基金 |
| Author Name | Affiliation | E-mail | | Fan Junning | Department of Epidemiology & Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Key Laboratory of Molecular Cardiovascular Sciences(Peking University), Ministry of Education, Beijing 100191, China | | | Sun Zhijia | Department of Epidemiology & Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Key Laboratory of Molecular Cardiovascular Sciences(Peking University), Ministry of Education, Beijing 100191, China | | | Yu Canqing | Department of Epidemiology & Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Key Laboratory of Molecular Cardiovascular Sciences(Peking University), Ministry of Education, Beijing 100191, China | | | Guo Yu | Chinese Academy of Medical Sciences, Beijing 100730, China | | | Sun Dianjianyi | Department of Epidemiology & Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Key Laboratory of Molecular Cardiovascular Sciences(Peking University), Ministry of Education, Beijing 100191, China | | | Pei Pei | Chinese Academy of Medical Sciences, Beijing 100730, China | | | Du Huaidong | Medical Research Council Population Health Research Unit at the University of Oxford/Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK | | | Chen Junshi | China National Center for Food Safety Risk Assessment, Beijing 100022, China | | | Chen Zhengming | Medical Research Council Population Health Research Unit at the University of Oxford/Clinical Trial Service Unit and Epidemiological Studies Unit, Nuffield Department of Population Health, University of Oxford, Oxford OX3 7LF, UK | | | Lyu Jun | Department of Epidemiology & Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Key Laboratory of Molecular Cardiovascular Sciences(Peking University), Ministry of Education, Beijing 100191, China | lvjun@bjmu.edu.cn | | Li Liming | Department of Epidemiology & Biostatistics, School of Public Health, Peking University/Peking University Center for Public Health and Epidemic Preparedness & Response/Key Laboratory of Molecular Cardiovascular Sciences(Peking University), Ministry of Education, Beijing 100191, China | | | for the China Kadoorie Biobank Collaborative Group | | |
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| Abstract: |
| 目的 比较Fried表型以及由不同数量的疾病缺陷构成的衰弱指数（FI）对衰弱状态评价的一致性以及与死亡风险的前瞻性关联。方法 利用中国慢性病前瞻性研究（CKB）第二次重复调查的23 615名研究对象的数据，采用5种表型指标构建Fried表型，并分别纳入28个和40个疾病缺陷构建FI-28和FI-40。计算加权Kappa系数比较3种指标对衰弱状态分类的一致性。采用Cox比例风险模型分析衰弱指标与死亡风险的关联。结果 采用Fried表型、FI-28和FI-40计算的衰弱率分别为5.4%、7.9%和4.0%。Fried表型与FI-28和FI-40的Kappa系数分别为0.357和0.408，FI-28与FI-40的Kappa系数为0.712。经过（3.9±0.5）年的随访，死亡755人。当采用Fried表型时，与无衰弱组相比，衰弱前期和衰弱组的死亡风险均增加，多因素调整后的风险比（HR）（95%CI）分别为1.60（1.32~1.94）和2.90（2.25~3.73）；采用FI-28时，衰弱前期和衰弱组的死亡HR值分别为1.71（1.39~2.11）和2.52（1.95~3.27）；采用FI-40时，衰弱前期和衰弱组的死亡HR值分别为1.98（1.60~2.44）和3.71（2.80~4.91）。衰弱状态与死亡风险的关联在不同年龄组间存在差异，在低年龄组中的关联强度高于高年龄组。结论 Fried表型和基于不同数量的变量构建的FI表现出较好的一致性，都能较好地预测死亡风险。 |
| English Abstract: |
| Objective To compare the consistency of frailty status measured by Fried phenotype and frailty index composed of different numbers of deficits, and their prospective associations with risk of mortality. Methods Data of 23 615 participants from the second resurvey of the China Kadoore Biobank (CKB) was used. Fried phenotype was constructed using five phenotypes, and frailty indexes (FI) were constructed using 28 and 40 deficits, respectively. We calculated the Weighted Kappa coefficient to compare the consistency of three measures in the classification of frailty status. Cox regression was performed to analyze the association of frailty status with risk of mortality. Results The frailty prevalence calculated by Fried phenotype, FI-28, and FI-40 were 5.4%, 7.9%, and 4.0%, respectively. The Kappa coefficients of Fried phenotype with FI-28 and FI-40 were 0.357 and 0.408, respectively. The Kappa coefficients of FI-28 and FI-40 was 0.712. During an average of (3.9±0.5) years of follow-up, 755 participants died. When Fried phenotype was used, compared with the robust participants, the prefrail and frail participants had increased risk of mortality, the multivariable-adjusted HRs were 1.60 (95%CI:1.32-1.94) and 2.90 (95%CI:2.25-3.73), respectively. When FI-28 was used, the corresponding HRs were 1.71 (95%CI:1.39-2.11) and 2.52 (95%CI:1.95-3.27) for prefrail and frail participants, and when FI-40 was used, the corresponding HRs were 1.98 (95%CI:1.60-2.44) and 3.71 (95%CI:2.80-4.91). The association of frailty status with mortality differed in different age groups, with the association stronger in younger adults than in older adults. Conclusion Fried phenotype and frailty index constituted with different numbers of deficits showed good consistency; which can be used to well predict the risk of mortality. |
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