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Correlation of the Severity of Parkinson's Disease with Serum Levels of cys C, UA, Hcy, and NSE |
GUO Lina, ZHAO Xiaoling, WANG Yanrui |
Department of General Medicine, Anyang People's Hospital, Anyang Henan 455000 |
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Abstract 【Objective】To explore the correlation of the severity of Parkinson's disease with the serum levels of cystatin C (cys C), uric acid (UA), homocysteine (Hcy), and neuron-specific enolase (NSE).【Methods】A retrospective analysis was conducted on the clinical data of 120 Parkinson's disease patients. Patient demographics, lipid profiles, coagulation markers, and levels of cys C, UA, Hcy, and NSE were statistically analyzed. Multivariate logistic regression was used to identify independent risk factors affecting the severity of the disease, while the Spearman test was utilized to analyze the correlation between these biomarkers and disease severity.【Results】Of the 120 patients, 43 (35.83%) were in the early stage of the disease, classified as the early group; the remaining 77 (64.17%) were in the middle to late stages, classified as the middle-late group. Comparisons of disease duration, age, gender, hemoglobin, platelets, coagulation markers, blood pressure, and lipid levels between the groups showed no statistically significant differences (P>0.05). The levels of cys C, Hcy, and NSE were significantly higher in the middle-late stage group compared to the early stage group (P<0.05), while UA level in the middle-late stage group was lower than that in the early stage group (P<0.05). Multivariate logistic regression analysis indicated that cys C, Hcy, and NSE were independent risk factors for the severity of Parkinson's disease (P< 0.05), whereas UA served as a protective factor (P<0.05). Spearman test results showed a positive correlation of disease severity with levels of cys C, Hcy, and NSE, while a negative correlation of the severity with UA (P<0.05).【Conclusion】cys C, Hcy, and NSE are risk factors that affect the severity of Parkinson's disease, while UA acts as a protective factor. The levels of these biomarkers are closely related to the severity of the condition, which should be paid good attention clinically.
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Received: 10 December 2023
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