Serum cystatin C: a potential risk factor for motoric cognitive risk syndrome

Yan⁃li LIU, Rui⁃xue ZHAO, Xiao⁃dong LI, Xiao⁃feng WANG, Xiao⁃yan JIANG, Shu⁃juan LI

Abstract


Objective To investigate whether serum cystatin C (Cys C) is a potential risk factor for motoric cognitive risk syndrome (MCR) in Chinese elderly. Methods A total of 1592 elderly people were included in the subcohort from Rugao Longevity and Aging Study (RuLAS) at the third follow⁃up in 2019. The presence of subjective memory complaints was assessed by Geriatric Depression Scale (GDS⁃15) and the presence of slow walking speed was assessed by the 5⁃Meter Walking Speed Test. The presence of both symptoms was determined as MCR (n = 132). According to the serum Cys C level, the patients with serum Cys C level < 1.06 mg/L were classified as low level group (n = 794), and the patients with serum Cys C level ≥ 1.06 mg/L were classified as middle and high level group (n = 798). Univariate and multivariate

stepwise Logistic regression were used to analyze whether elevated serum Cys C levels increased the risk of MCR. Results Compared with non⁃MCR group, MCR group had higher age (P = 0.041), female proportion (P = 0.027), farmer occupation (P = 0.044), married status (P = 0.034), cerebral vascular disease (P = 0.015), higher Cys C level (P = 0.023). Compared with the Cys C low level group, the Cys C middle and high level group had higher age (P = 0.000), male (P = 0.000), hypertension (P = 0.006), MCR (P = 0.049), and lower farmer proportion (P = 0.001); there was significant difference in smoking status (P = 0.041). Logistic regression analysis showed that increased Cys C level was a risk factor for the occurrence of MCR (OR = 1.419, 95%CI: 1.027-1.962; P = 0.034). Conclusions The incidence of MCR is higher in older people, female, farmers and the elderly with the history of cerebral vascular disease, and increased Cys C level is a potential risk factor for MCR.

 

doi:10.3969/j.issn.1672⁃6731.2022.06.011


Keywords


Cognition disorders; Cystatin C; Risk factors; Logistic models; Aged

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