首页|期刊导航|检验医学与临床|脑小血管病患者血清S100B、SD-LDL水平与LOTCA评分的相关性及对认知功能障碍的预测价值

脑小血管病患者血清S100B、SD-LDL水平与LOTCA评分的相关性及对认知功能障碍的预测价值OA

Correlations between serum S100B and SD-LDL levels and LOTCA scores and their predictive value for cognitive impairment in patients with cerebral small vessel disease

中文摘要英文摘要

目的 探讨脑小血管病(CSVD)患者血清中枢神经特异性蛋白(S100B)、小而密-低密度脂蛋白(SD-LDL)水平与洛文斯顿作业疗法认知评定量表(LOTCA)评分的相关性及对认知功能障碍(CI)的预测价值.方法 选取2023年9月至2025年1月邢台医学院第二附属医院收治的148例CSVD患者作为研究对象,将发生CI的CSVD患者作为观察组,未发生CI的CSVD患者作为对照组.采用酶联免疫吸附试验检测所有研究对象血清S100B、SD-LDL水平;采用Spearman相关分析发生CI的CSVD患者血清S100B、SD-LDL水平与LOTCA评分的相关性.采用多因素Logistic回归分析CSVD患者发生CI的影响因素.绘制受试者工作特征(ROC)曲线分析血清S100B、SD-LDL单独及二者联合对CSVD患者发生CI的预测价值.结果 观察组脑白质高信号严重程度(中、重度)及血清超敏C反应蛋白(hs-CRP)、同型半胱氨酸(Hcy)、脂蛋白相关磷脂酶A2(Lp-PLA2)、S100B、SD-LDL水平均明显高于对照组,LOTCA各维度评分均明显低于对照组,差异均有统计学意义(P<0.05).Spearman相关分析结果显示,发生CI的CSVD患者血清S100B、SD-LDL水平与LOT-CA各维度评分均呈负相关(P<0.05).多因素Logistic回归分析结果显示,脑白质高信号严重程度(中、重度)及血清hs-CRP、Hcy、Lp-PLA2、S100B、SD-LDL水平升高均为 CSVD患者发生 CI的危险因素(P<0.05).ROC曲线分析结果显示,血清S100B、SD-LDL单独及二者联合预测CSVD患者发生CI的曲线下面积(AUC)分别为0.841、0.803、0.925,二者联合预测CSVD患者发生CI的 AUC大于血清S100B、SD-LDL单独预测的AUC(Z=3.352、3.527,P<0.05).结论 CSVD患者血清S100B、SD-LDL水平均升高,与LOTCA评分均呈负相关,二者联合检测对CSVD患者发生CI具有较高的预测价值.

Objective To investigate the correlation between serum levels of central nervous system specif-ic protein(S100B)and Small Dense Low-Density Lipoprotein(SD-LDL)and Loewenstein Occupational Ther-apy Cognitive Assessment(LOTCA)scores in patients with Cerebral Small Vessel Disease(CSVD)and their predictive value for cognitive impairment(CI).Methods A total of 148 CSVD patients admitted to the Sec-ond Affiliated Hospital of Xingtai Medical University from September 2023 to January 2025 were selected as the research objects.The CSVD patients with CI were selected as the observation group,and the CSVD pa-tients without CI were selected as the control group.Enzyme-linked immunosorbent assay was used to detect the serum levels of S100B and SD-LDL in all subjects.Spearman correlation analysis was used to analyze the correlation between serum S100B,SD-LDL levels and LOTCA scores in CSVD patients with CI.Multivariate Logistic regression was used to analyze the influencing factors of CI in CSVD patients.The receiver operating characteristic(ROC)curve was drawn to analyze the predictive value of serum S100B,SD-LDL alone and their combination for CI in CSVD patients.Results The severity of white matter hyperintensities(moderate and severe)and the levels of serum high-sensitivity C-reactive protein(hs-CRP),homocysteine(Hcy),lipoprotein associated phospholipase A2(Lp-PLA2),S100B and SD-LDL in the observation group were significantly high-er than those in the control group,and the LOTCA scores in each dimension were significantly lower than those in the control group,the differences were statistically significant(P<0.05).Spearman correlation anal-ysis showed that the levels of serum S100B and SD-LDL in CSVD patients with CI were negatively correlated with the scores of each dimension of LOTCA(P<0.05).Multivariate Logistic regression analysis showed that the severity of white matter hyperintensities(moderate and severe)and the increased levels of serum hs-CRP,Hcy,Lp-PLA2,S100B and SD-LDL were all risk factors for CI in CSVD patients(P<0.05).ROC curve analysis showed that the area under the curve(AUC)of serum S100B,SD-LDL and their combination for pre-dicting CI in CSVD patients were 0.841,0.803 and 0.925,respectively.The AUC of the combination of S100B and SD-LDL in predicting CI in CSVD patients was greater than that of serum S100B or SD-LDL alone(Z=3.352,3.527,P<0.05).Conclusion The levels of serum S100B and SD-LDL in CSVD patients are in-creased,and negatively correlated with LOTCA scores.The combined detection of S100B and SD-LDL has a high predictive value for CI in CSVD patients.

杨利革;马冠峰;刘艺丽

邢台医学院第二附属医院神经内科,河北 邢台 054000邢台医学院第二附属医院神经内科,河北 邢台 054000河北省衡水市第二人民医院神经内科,河北 衡水 053000

医药卫生

脑小血管病中枢神经特异性蛋白小而密-低密度脂蛋白洛文斯顿作业疗法认知评定量表评分认知功能障碍

cerebral small vessel diseasecentral nervous system specific proteinsmall dense low-density lipoproteinLoewenstein Occupational Therapy Cognitive Assessment scorecognitive dysfunction

《检验医学与临床》 2026 (7)

996-1001,1008,7

河北省医学科学研究课题(20251423).

10.3969/j.issn.1672-9455.2026.07.021

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