血清尿酸、肌酐及胱抑素C水平与青年卒中患者神经功能缺损程度的相关性

目的 分析血清尿酸（SUA）、肌酐（Cr）及胱抑素C（CysC）水平与青年卒中患者神经功能缺损程度的相关性。方法 将2019年5月-2019年12月于本院神经内科内住院治疗的40例青年脑卒中患者作为研究组，同期选取体检的40健康人群作为对照组，通过对两组临床资料的回顾性分析，对比两组的SUA、Cr和CysC表达水平，并根据美国国立卫生研究院卒中量表(National Institute of Health Stroke Scale, NIHSS)将患者分为轻度组、中度组和重度组，对比不同NIHSS评分患者的SUA、Cr和CysC表达，利用线性回归分析SUA、Cr和CysC与NIHSS评分的相关性。结果 研究组的SUA、Cr和CysC表达水平均明显高于对照组（P＜0.05）；不同神经功能缺损程度患者的SUA、Cr和CysC不同（P＜0.05），随着神经功能缺损程度的加重，患者的SUA、Cr和CysC表达水平也逐渐上升；相关性分析结果显示，青年脑卒中患者的SUA、Cr和CysC均与NIHSS评分呈显著正相关（r=0.954，0.954，0.953，P＜0.01）；多元线性回归结果显示SUA、Cr和CysC均是青年脑卒中患者NIHSS评分的独立影响因素（P＜0.05）。结论 青年脑卒中患者的SUA、Cr和CysC表达水平与NIHSS评分存在明显的正相关，且SUA、Cr和CysC是青年脑卒中患者NIHSS评分的独立影响因素，通过对青年脑卒中患者的SUA、Cr和CysC表达水平检测，可以实现对患者神经功能缺损程度的早期预测。

Correlation analysis of serum uric acid,creatinine and cystatin C levels with neurological deficits in young stroke patients

Objective To analyze the correlation between serum uric acid (SUA), creatinine (Cr) and cystatin C (CysC) levels and the degree of neurological deficits in young stroke patients. Methods Forty young patients with stroke who were hospitalized in Department of Neurology of Beijing Pinggu Hospital from May 2019 to December 2019 were selected as study group, and 40 healthy people who received physical examinations in the hospital were selected as control group during the same period. The levels of SUA, Cr, and CysC in two groups were compared by retrospective analysis of the clinical data.And at the same time, patients were divided into mild group, moderate group, and severe group according to National Institute of Health Stroke Scale(NIHSS). SUA, Cr, and CysC in patients with different NIHSS scores were compared.The correlation between SUA, Cr, CysC and NIHSS scores were analyzed by linear regression. Results The levels of SUA, Cr and CysC in study group were significantly higher than those in control group (P<0.05); SUA, Cr and CysC of patients with different degrees of neurological deficits were different(P<0.05). With the aggravation of neurological deficits, the levels of SUA, Cr and CysC in patients also gradually increased. The results of correlation analysis showed that SUA, Cr and CysC of young stroke patients were significantly positively correlated with NIHSS scores (r=0.954, 0.954, 0.953, P<0.01). Multiple linear regression results showed that SUA, Cr, and CysC were all independent influencing factors of NIHSS score in young stroke patients (P<0.05). Conclusion The levels of SUA, Cr, and CysC in young stroke patients are significantly positively correlated with NIHSS scores, and SUA, Cr, and CysC are independent influencing factors of NIHSS score in young stroke patients. By detecting the levels of SUA, Cr and CysC in young stroke patients, the early prediction of the degree of neurological deficits in patients can be realized.