首页|期刊导航|检验医学与临床|血清miR-24-3p、sTim-3对急性缺血性脑卒中患者预后不良的预测价值

血清miR-24-3p、sTim-3对急性缺血性脑卒中患者预后不良的预测价值OA

Predictive value of serum miR-24-3p and sTim-3 for poor prognosis in patients with acute ischemic stroke

中文摘要英文摘要

目的 探讨血清微小RNA-24-3p(miR-24-3p)、可溶性 T细胞免疫球蛋白黏蛋白分子-3(sTim-3)对急性缺血性脑卒中(AIS)患者预后不良的预测价值.方法 选取2022年1月至2024年12月该院收治的150例AIS患者纳入 AIS组,另选取同期在该院体检的150例无脑卒中病史的社区健康志愿者作为对照组.根据出院后3个月改良Rankin量表评分将患者分为预后良好组、预后不良组.检测所有研究对象血清 miR-24-3p、sTim-3水平.采用Pearson相关分析评估 AIS患者血清 miR-24-3p、sTim-3水平与美国国立卫生研究院卒中量表(NIHSS)评分的相关性.采用多因素Logistic回归分析 AIS患者预后不良的影响因素,并在此基础上构建列线图预测模型.结果 AIS组血清 miR-24-3p水平低于对照组(P<0.05),sTim-3水平高于对照组(P<0.05).入院时,AIS患者血清 miR-24-3p水平与 NIHSS评分呈负相关(P<0.05),血清sTim-3水平与NIHSS评分呈正相关(P<0.05).142例AIS患者中预后不良46例.预后不良组血清 miR-24-3p水平低于预后良好组(P<0.05),sTim-3水平高于预后良好组(P<0.05).多因素Logistic回归分析结果显示,年龄增大、合并高血压、入院NIHSS评分升高及血清sTim-3水平升高是 AIS患者预后不良的独立危险因素(P<0.05),血清 miR-24-3p水平升高是独立保护因素(P<0.05).基于多因素Logistic回归构建的列线图预测模型显示,AIS患者预后不良的曲线下面积(AUC)为0.931,最佳截断值为0.583,灵敏度为93.48%,特异度为85.42%.Hosmer-Lemeshow拟合优度检验、校准曲线及决策曲线均验证该模型具有良好的拟合度和临床实用性.结论 血清 miR-24-3p水平降低,sTim-3水平升高与 AIS患者预后不良密切相关,二者联合患者临床特征对AIS患者预后不良具有较高的预测价值,可为临床评估病情及制订干预策略提供参考依据.

Objective To investigate the predictive value of serum microRNA-24-3p(miR-24-3p)and solu-ble T-cell immunoglobulin and mucin domain-containing molecule 3(sTim-3)for poor prognosis in patients with acute ischemic stroke(AIS).Methods A total of 150 patients with AIS admitted to the hospital from January 2022 to December 2024 were selected as the AIS group,and 150 healthy community volunteers with-out a history of stroke who underwent physical examination at the hospital during the same period were se-lected as the control group.According to the modified Rankin Scale score at three months after discharge,the AIS patients were divided into a good prognosis group and a poor prognosis group.Serum levels of miR-24-3p and sTim-3 were measured in all study subjects.Pearson correlation analysis was performed to evaluate the correlation of serum miR-24-3p and sTim-3 levels with the National Institutes of Health Stroke Scale(NIH-SS)score in AIS patients.Multivariate Logistic regression analysis was performed to identify the influencing factors for poor prognosis in AIS patients,and a nomogram prediction model was constructed based on the i-dentified factors.Results The serum level of miR-24-3p in the AIS group was significantly lower than that in the control group(P<0.05),whereas the serum level of sTim-3 in the AIS group was significantly higher than that in the control group(P<0.05).At admission,the serum level of miR-24-3p in AIS patients was negatively correlated with the NIHSS score(P<0.05),while the serum level of sTim-3 was positively corre-lated with the NIHSS score(P<0.05).Among the 142 AIS patients,46 had poor prognosis.The serum level of miR-24-3p in the poor prognosis group was significantly lower than that in the good prognosis group(P<0.05),and the serum level of sTim-3 in the poor prognosis group was significantly higher than that in the good prognosis group(P<0.05).Increased age,comorbid hypertension,elevated NIHSS score at admission,and elevated serum sTim-3 level were identified as independent risk factors for poor prognosis in AIS patients(P<0.05),whereas an elevated serum miR-24-3p level was identified as an independent protective factor(P<0.05).For the nomogram prediction model constructed based on multivariate Logistic regression,the ar-ea under the curve(AUC)for predicting poor prognosis in AIS patients was 0.931,with an optimal cut-off value of 0.583,a sensitivity of 93.48%,and a specificity of 85.42%.The Hosmer-Lemeshow goodness-of-fit test,calibration curve,and decision curve analysis confirmed that the model exhibited good calibration and clinical utility.Conclusion Decreased serum miR-24-3p level and increased serum sTim-3 level are closely as-sociated with poor prognosis in AIS patients.The combination of these two indicators with clinical characteris-tics demonstrates high predictive value for poor prognosis in AIS patients,providing a reference basis for clini-cal assessment of disease status and the formulation of intervention strategies.

陈正;钱树坤;丁磊;刘建华

首都医科大学附属北京康复医院检验科,北京 100144首都医科大学附属北京康复医院检验科,北京 100144首都医科大学附属北京康复医院检验科,北京 100144首都医科大学附属北京康复医院检验科,北京 100144

医药卫生

急性缺血性脑卒中微小RNA-24-3p可溶性T细胞免疫球蛋白黏蛋白分子-3预后不良列线图

acute ischemic strokemicroRNA-24-3psoluble T-cell immunoglobulin and mucin do-main-containing molecule-3poor prognosisnomogram

《检验医学与临床》 2026 (12)

1699-1706,8

北京市科技计划项目(Z221100000415296).

10.3969/j.issn.1672-9455.2026.12.018

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