Frailty, an Independent Risk Factor in Progression Trajectory of Cardiometabolic Multimorbidity: A Prospective Study of UK Biobank

Author:

Ma Tianqi12ORCID,He Lingfang12,Luo Yi12,Fu Dihan12,Huang Jiaqi34,Zhang Guogang5,Cheng Xunjie12,Bai Yongping12ORCID

Affiliation:

1. Department of Geriatric Medicine, Center of Coronary Circulation, Xiangya Hospital, Central South University , Changsha, Hunan , China

2. National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University , Changsha, Hunan , China

3. National Clinical Research Center for Metabolic Diseases, Key Laboratory of Diabetes Immunology, Ministry of Education , Changsha, Hunan , China

4. Department of Metabolism and Endocrinology, The Second Xiangya Hospital, Central South University , Changsha , Hunan , China

5. Department of Cardiovascular Medicine, Xiangya Hospital, Central South University , Changsha , Hunan , China

Abstract

Abstract Background Although frailty was associated with cardiometabolic diseases (CMDs, including coronary heart disease, stroke, and diabetes here), there was no systematic analyses estimating its role in incidence, progression, and prognosis of cardiometabolic multimorbidity (CMM). Methods We included 351 205 participants without CMDs at baseline in UK Biobank. Occurrences of first CMD, CMM, and death were recorded. We used multistate models to assess transition-specific role of baseline frailty measured by frailty phenotype and frailty index in CMM progression trajectory from no disease to single CMD, CMM, and death. Association between changes in frailty and outcomes was investigated among 17 264 participants. Results Among 351 205 participants (44.0% male, mean age 56.55 years), 8 190 (2.3%) had frail phenotype, and 13 615 (3.9%) were moderate/severe frail according to the frailty index. During median follow-up of 13.11 years, 41 558 participants experienced ≥1 CMD, 4 952 had CMM, and 20 670 died. In multistate models, frail phenotype-related hazard ratios were 1.94 and 2.69 for transitions from no CMD to single disease and death, 1.63 and 1.67 for transitions from single CMD to CMM and death, and 1.57 for transitions from CMM to death (all p < .001). Consistent results were observed for frailty index. Improvement of frailty reduced the risk of CMD progression and death. Conclusions Frailty is an independent risk factor for all transitions of CMM progression trajectory. Frailty-targeted management is a potential strategy for primary and secondary prevention of CMM beyond chronological age.

Funder

National Key Research and Development Program of China

Science and Technology Innovation Program of Hunan Province

Project of Innovation-driven Plan in Central South University

Publisher

Oxford University Press (OUP)

Subject

Geriatrics and Gerontology,Aging

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