首页|期刊导航|实用心脑肺血管病杂志|急性脑梗死合并高血压患者发生认知障碍的风险预测列线图模型构建与验证

急性脑梗死合并高血压患者发生认知障碍的风险预测列线图模型构建与验证OA

Construction and Validation of Nomogram Model for Predicting the Risk of Cognitive Impairment in Patients with Acute Cerebral Infarction and Hypertension

中文摘要英文摘要

目的 构建急性脑梗死合并高血压患者发生认知障碍的风险预测列线图模型,并对其进行验证.方法 回顾性选取2020-2024年南京市第一医院收治的急性脑梗死合并高血压患者400例.根据患者认知障碍发生情况将其分为认知障碍组(n=142)与非认知障碍组(n=258).收集患者临床资料,采用多因素Logistic回归分析进行影响因素分析;采用R 4.0.0软件构建列线图模型,并采用ROC曲线、一致性指数、Hosmer-Lemeshow拟合优度检验及决策曲线进行验证.结果 认知障碍组年龄大于非认知障碍组,男性占比、有吸烟史者占比、有饮酒史者占比、美国国立卫生研究院卒中量表(NIHSS)评分、超敏C反应蛋白(hs-CRP)、Hcy、IL-6高于非认知障碍组,发病至治疗时间、高血压病程长于非认知障碍组(P<0.05).多因素Logistic回归分析结果显示,年龄、发病至治疗时间、高血压病程、NIHSS评分、hs-CRP、Hcy、IL-6为急性脑梗死合并高血压患者发生认知障碍的影响因素(P<0.05).基于年龄、发病至治疗时间、高血压病程、NIHSS评分、hs-CRP、Hcy、IL-6构建急性脑梗死合并高血压患者发生认知障碍的风险预测列线图模型.该模型预测急性脑梗死合并高血压患者发生认知障碍的曲线下面积为0.978[95%CI(0.964~0.991)].该模型的一致性指数为0.958.该模型拟合程度较好(P>0.05).当阈值概率为0~1.00时,该模型的净获益率>0.结论 年龄、发病至治疗时间、高血压病程、NIHSS评分、hs-CRP、Hcy、IL-6是急性脑梗死合并高血压患者发生认知障碍的独立影响因素,本研究基于上述因素构建的急性脑梗死合并高血压患者发生认知障碍的风险预测列线图模型具有较好的区分度、准确性、拟合程度、临床适用性.

Objective To construct and validate the nomogram model for predicting the risk of cognitive impairment in patients with acute cerebral infarction and hypertension.Methods A total of 400 patients with acute cerebral infarction and hypertension admitted to Nanjing First Hospital from 2020 to 2024 were retrospectively selected.According to the occurrence of cognitive impairment,the patients were divided into cognitive impairment group(n=142)and non-cognitive impairment group(n=258).The clinical data of patients were collected,and the multivariate Logistic regression analysis was used to analyze the influencing factors;the nomogram model was constructed using R 4.0.0 software,and the model was verified by ROC curve,consistency index,Hosmer-Lemeshow goodness-of-fit test and decision curve.Results The age of the cognitive impairment group was older than that of the non-cognitive impairment group,the proportion of males,the proportion of patients with smoking history,the proportion of patients with drinking history,the National Institutes of Health Stroke Scale(NIHSS)score,high-sensitivity C-reactive protein(hs-CRP),Hcy,and IL-6 were higher than those of the non-cognitive impairment group,and the time from onset to treatment and the course of hypertension were longer than those of the non-cognitive impairment group(P<0.05).Multivariate Logistic regression analysis showed that age,time from onset to treatment,duration of hypertension,NIHSS score,hs-CRP,Hcy,and IL-6 were the influencing factors of cognitive impairment in patients with acute cerebral infarction and hypertension(P<0.05).Based on age,onset to treatment time,duration of hypertension,NIHSS score,hs-CRP,Hcy and IL-6,the nomogram model for predicting the risk of cognitive impairment in patients with acute cerebral infarction and hypertension was constructed.The area under the curve of the model in predicting cognitive impairment in patients with acute cerebral infarction and hypertension was 0.978[95%CI(0.964-0.991)].The consistency index of the model was 0.958.The model fitted well(P>0.05).When the threshold probability was 0-1.00,the net benefit rate of the model was>0.Conclusion Age,time from onset to treatment,duration of hypertension,NIHSS score,hs-CRP,Hcy,and IL-6 are independent influencing factors of cognitive impairment in patients with acute cerebral infarction and hypertension.The nomogram model for predicting the risk of cognitive impairment in patients with acute cerebral infarction and hypertension constructed based on the above factors in this study has good discrimination,accuracy,fitting degree and clinical applicability.

李曼;蒋腾;许会弟

210006 江苏省南京市第一医院神经内科210006 江苏省南京市第一医院神经内科210006 江苏省南京市第一医院神经内科

医药卫生

脑梗死高血压认知障碍预测列线图

Brain infarctionHypertensionCognition disordersForecastingNomograms

《实用心脑肺血管病杂志》 2026 (5)

52-57,6

江苏省卫生健康委科研项目(MQ2024063)

10.12114/j.issn.1008-5971.2026.00.087

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