基于核苷酸结合寡聚化结构域样受体蛋白3/半胱氨酸天冬氨酸蛋白酶1信号通路构建列线图模型预测急性脑梗死溶栓治疗后继发血管性痴呆的价值

Development of a nomogram model based on nucleotide-binding oligomerization domain-like receptor protein 3/caspase-1 signaling pathway to predict secondary vascular dementia after thrombolytic therapy for acute cerebral infarction

  • 摘要:
    目的 基于核苷酸结合寡聚化结构域样受体蛋白3(NLRP3)/半胱氨酸天冬氨酸蛋白酶1(Caspase-1)信号通路构建列线图模型预测急性脑梗死(ACI)继发血管性痴呆(VaD)的价值。
    方法 选取2021年3月—2024年3月山西医科大学附属运城市中心医院收治的289例ACI患者为研究对象,根据VaD发生情况分为发生组(n=60)与未发生组(n=229)。比较2组临床相关资料,分析ACI继发VaD的影响因素,构建列线图预测模型并进行验证。
    结果 发生组吸烟史、高血压史、冠心病史、关键区域梗死、责任大血管狭窄程度≥50%、脑白质疏松以及溶栓获益患者比率均高于未发生组,差异有统计学意义(P < 0.05)。Logistic回归分析结果显示,责任血管狭窄程度、关键区域梗死、脑白质疏松及NLRP3/Caspase-1信号通路相关蛋白NLRP3、凋亡相关斑点样蛋白(ASC)、Caspase-1表达均是ACI继发VaD的独立影响因素(P < 0.05)。受试者工作特征(ROC)曲线、校准曲线、决策曲线分析(DCA)显示,该列线图模型区分度、预测效能较高,具有显著正向净收益。
    结论 ACI患者继发VaD的独立影响因素为责任血管狭窄程度、关键区域梗死、脑白质疏松及NLRP3/Caspase-1信号通路相关蛋白NLRP3、ASC、Caspase-1表达,基于上述指标建立的列线图预测模型具有较高的预测价值和临床效能。

     

    Abstract:
    Objective To develop a nomogram model based on the nucleotide-binding oligomerization domain-like receptor protein 3 (NLRP3)/caspase-1 signaling pathway to predict the value of secondary vascular dementia (VaD) after acute cerebral infarction (ACI) following thrombolytic therapy.
    Methods A total of 289 patients with ACI admitted to Yuncheng Central Hospital Affiliated to Shanxi Medical University from March 2021 to March 2024 were selected as study subjects, and were divided into VaD group (n=60) and non-VaD group (n=229) based on the occurrence of VaD. Relevant clinical data were compared between the two groups, and influencing factors for secondary VaD after ACI were analyzed. A nomogram prediction model was constructed and validated.
    Results The proportions of patients with a history of smoking, hypertension and coronary heart disease, infarction in key areas, responsible large vessel stenosis ≥50%, leukoaraiosis, and thrombolysis benefit were higher in the VaD group than in the non-VaD group(P < 0.05). Logistic regression analysis showed that the degree of responsible vessel stenosis, infarctionin key areas, leukoaraiosis, and the expression of NLRP3, apoptosis-associated speck-like protein containing a CARD (ASC), and caspase-1, which are related to the NLRP3/caspase-1 signaling pathway, were independent influencing factors for secondary VaD after ACI (P < 0.05). Receiver operating characteristic (ROC) curve, calibration curve, and decision curve analysis (DCA) indicated that the nomogram model had high discrimination and predictive efficacy, with significant positive net benefit.
    Conclusion The independent influencing factors for secondary VaD after ACI include the degree of responsible vessel stenosis, infarction in key areas, leukoaraiosis, and the expression of NLRP3, ASC, and caspase-1 related to the NLRP3/caspase-1 signaling pathway. The nomogram prediction model established based on these indicators has high predictive value and clinical efficacy.

     

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