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10 May 2017 : Clinical Research  

Diagnostic Values of Serum Levels of Homocysteine and Uric Acid for Predicting Vascular Mild Cognitive Impairment in Patients with Cerebral Small Vessel Disease

Ting Wang12AB, Zhong-Wu Sun1AE*, Liang-Qing Shao2BF, Xiao-Bin Xu2CD, Yang Liu2BC, Mao Qin2AE, Xiang Weng2E, Yong-Xiang Zhang2BF

DOI: 10.12659/MSM.901652

Med Sci Monit 2017; 23:2217-2225

Abstract

BACKGROUND: This study aimed to investigate the diagnostic values of serum levels of Hcy and UA for predicting vascular mild cognitive impairment (VMCI) in patients with cerebral small vessel disease (SVD).

MATERIAL AND METHODS: We selected 172 cerebral SVD patients and divided them into a VMCI group and a non-VMCI group. Eighty-six healthy individuals without nervous system diseases were selected as the control group. Enzymatic cycling method was performed to detect serum Hcy and UA levels. Serum levels of folic acid (FOA) and vitamin B12 (VitB12) were detected by chemiluminescence immunoassay. Montreal cognitive assessment (MoCA) was applied to evaluate the cognitive function. The ROC curve was used to evaluate the diagnostic values of serum Hcy and UA levels for predicting VMCI. Logistic regression analysis was used to determine the possible risk factors.

RESULTS: Compared with the non-VMCI and control groups, serum FOA and VitB12 levels were lower and serum Hcy and UA levels were higher in the VMCI group. AUC values of serum Hcy and UA levels were 0.703 and 0.829, respectively. Serum Hcy and UA levels were negatively correlated with serum FOA and VitB12 levels, total MoCA score, and subscores on visuospatial ability and executive function, on language ability and on delayed recall, and they were positively correlated with serum cholesterol (CH) level. Serum Hcy and UA levels were indicated as risk factors for VMCI in cerebral SVD patients.

CONCLUSIONS: These results suggest that serum Hcy and UA levels may serve as predictive factors for VMCI in cerebral SVD patients.

Keywords: Aminohippuric Acids, Blood Vessels, homocysteine

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Editorial: Artificial Intelligence (AI), Digital Image Analysis, and the Future of Cancer Diagnosis and Prognosis

Dinah V. Parums

DOI: 10.12659/MSM.947038

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Medical Science Monitor eISSN: 1643-3750
Medical Science Monitor eISSN: 1643-3750