Cystatin C predicts cognitive decline in multiple system atrophy: A 1-year prospective cohort study

3Citations
Citations of this article
8Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Background: Accumulating evidence has suggested that cystatin C is associated with cognitive impairment in patients with neurodegenerative diseases. However, the association between cystatin C and cognitive decline in patients with multiple system atrophy (MSA) remains largely unknown. Objectives: The objective was to determine whether cystatin C was independently associated with cognitive decline in patients with early-stage MSA. Methods: Patients with MSA underwent evaluation at baseline and the 1-year follow-up. Cognitive function was evaluated with Montreal cognitive assessment (MoCA). Changes in the MoCA score and the absolute MoCA score at the 1-year assessment were considered the main cognitive outcome. The cystatin C concentrations in patients with MSA and age, sex, and body mass index matched-healthy controls (HCs) were measured. A multiple linear regression model was used to test the association between cystatin C and cognitive decline. Results: A total of 117 patients with MSA and 416 HCs were enrolled in the study. The cystatin C levels were significantly higher in patients with MSA than in HCs (p < 0.001). Cystatin C levels were negatively correlated with MoCA score at baseline and at 1-year follow-up. Multiple linear regression model adjusted for potential confounders showed that baseline cystatin C levels were significantly associated with the MoCA score (p = 0.004) or change in the MoCA score (p = 0.008) at 1-year follow-up. Conclusion: Our results suggested that cystatin C may serve as a potential biomarker of cognitive decline in patients with early-stage MSA.

Cite

CITATION STYLE

APA

Zhang, L., Li, R., Hou, Y., Cao, B., Wei, Q., Ou, R., … Shang, H. (2022). Cystatin C predicts cognitive decline in multiple system atrophy: A 1-year prospective cohort study. Frontiers in Aging Neuroscience, 14. https://doi.org/10.3389/fnagi.2022.1069837

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free