Association between serum β2-microglobulin levels and frailty in an elderly Chinese population: results from RuLAS
Authors Liu Z, Shen Y, Ji L, Jiang X, Wang X, Shi Y
Received 24 May 2017
Accepted for publication 8 August 2017
Published 16 October 2017 Volume 2017:12 Pages 1725—1729
Checked for plagiarism Yes
Review by Single-blind
Peer reviewer comments 2
Editor who approved publication: Dr Richard Walker
Zu-yun Liu,1,* Yan-yu Shen,2,* Li-juan Ji,3 Xiao-yan Jiang,4 Xiao-feng Wang,5 Yan Shi6
1Department of Internal Medicine, Yale School of Medicine, New Haven, CT, USA; 2Department of Nephrology, People’s Hospital of Xuyi, Xuyi, Jiangsu, China; 3Department of Sport Medicine and Pain Clinic, Center of Sports Rehabilitation, School of Sport Science, Shanghai University of Sport, 4Key Laboratory of Arrhythmias of the Ministry of Education of China, Tongji University School of Medicine, 5Unit of Epidemiology, Ministry of Education Key Laboratory of Contemporary Anthropology, School of Life Sciences, Fudan University, Shanghai, China, 6Department of Emergency, Huai’an Second People’s Hospital, The Affiliated Huai’an Hospital of Xuzhou Medical University, Huai’an, China
*These authors contributed equally to this work
Objective: To examine the association between serum β2-microglobulin (B2M) levels and frailty in an elderly Chinese population.
Design: A population-based cohort study.
Setting and participants: We used data on 1,663 elderly participants (aged 70–84 years) from the aging arm of the Rugao Longevity and Ageing study, a population-based observational two-arm cohort study conducted in Rugao, China.
Measurements: The serum B2M was measured with chemiluminescence immunoassay by a technician in the biochemistry laboratory of the Rugao People’s Hospital. Information on the frailty index and phenotype was collected.
Results: The mean B2M levels and frailty index were 1.8 mg/L and 0.16, respectively; 188 (11.3%) participants were classified as frail (frailty phenotype). For a standard deviation increase in B2M, the adjusted odds ratio for frailty phenotype was 1.20 (95% CI: 1.05, 1.39; P=0.009) and the standardized coefficient for frailty index was 0.07 (95% CI: 0.02, 0.11; P=0.004). Relative to the lowest quartile, the highest B2M quartile had a greater risk of prevalent frailty with adjusted odds ratios of 1.68 (95% CI: 1.04, 2.71; P=0.034) for frailty phenotype and 1.51 (95% CI: 1.01, 2.27; P=0.044) for frailty index (≥0.25). In addition, estimated glomerular filtration rate (based on B2M) or chronic kidney disease (estimated glomerular filtration rate <60 mL/min/1.73 m2) was significantly associated with frailty phenotype and index.
Conclusion: B2M was significantly associated with both frailty phenotype and index in elderly Chinese population. The findings underscore the promising kidney relevant biomarkers for identifying vulnerable elderly Chinese population.
Keywords: frailty phenotype, frailty index, elderly, kidney, biomarker
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