Serum Uric Acid Levels at Admission Could Predict the Chronic Post-stroke Fatigue

Wenwei Ren; Junxin Wu; Zijing Wu; Shuang Yang; Xiaofang Jiang; Minjie Xu; Beilan Wu; Caixia Xie; Jincai He; Xin Yu

doi:10.3389/fnut.2022.850355

Serum Uric Acid Levels at Admission Could Predict the Chronic Post-stroke Fatigue

Front Nutr. 2022 Feb 22:9:850355. doi: 10.3389/fnut.2022.850355. eCollection 2022.

Authors

Wenwei Ren¹, Junxin Wu¹, Zijing Wu¹, Shuang Yang¹, Xiaofang Jiang², Minjie Xu¹, Beilan Wu², Caixia Xie¹, Jincai He², Xin Yu^{1

3

4

5}

Affiliations

¹ School of Mental Health, Wenzhou Medical University, Wenzhou, China.
² Department of Neurology, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou, China.
³ Peking University Institute of Mental Health (Sixth Hospital), Beijing, China.
⁴ National Clinical Research Center for Mental Disorders and Key Laboratory of Mental Health, Ministry of Health, Peking University, Beijing, China.
⁵ Beijing Municipal Key Laboratory for Translational Research on Diagnosis and Treatment of Dementia, Beijing, China.

Abstract

Background: Post-stroke fatigue (PSF) is a frequent complication of stroke. Serum uric acid (SUA) is frequently thought to be a risk factor for stroke. This study aimed to investigate whether SUA also played a role in PSF.

Methods: Subjects with ischemic stroke were screened from The First Affiliated Hospital of Wenzhou Medical University between January 2020 and October 2020. Patients' fatigue symptoms were assessed by the Fatigue severity scale (FSS). To investigate the relationship between SUA and PSF, binary logistic regression analysis was conducted, with the confounders being controlled. SUA levels were divided into four layers (Q1 ≤ 245 μmol/L; Q2 246-308 μmol/L; Q3 309-365 μmol/L; Q4 ≥366 μmol/L) based on the quartiles.

Results: SUA levels were significantly higher in the PSF group (345.96 ± 73.78 μmol/L) than the non-PSF group (295.97 ± 87.8 μmol/L, P < 0.001). There were no differences in any other variables between these two groups. After adjusting the confounders, the risk of PSF in the Q4 layer (≥366 μmol/L) was 6.05 times (95% CI 1.79-20.43, P = 0.004) higher than that in Q1 (≤245 μmol/L).

Conclusion: High SUA at admission was an independent risk factor for fatigue 1 year after stroke onset. High SUA (≥366 μmol/L) during stroke deserves more attention, and active control of high SUA levels may be beneficial to reduce the incidence of PSF in the chronic stage following stroke.

Keywords: association; fatigue; risk; stroke; uric acid.