[1]黄四春,张忠胜,余炳坚,等.非大脑中动脉狭窄的单发豆纹动脉梗塞发生早期神经功能恶化危险因素探讨及风险列线图模型建立[J].陕西医学杂志,2022,51(7):823-827.[doi:DOI:10.3969/j.issn.1000-7377.2022.07.013]
　HUANG Sichun,ZHANG Zhongsheng,YU Bingjian,et al.Risk factors of early neurological function deterioration in single lenticulostriate artery infarction patients without middle cerebral artery stenosis and the establishment of risk nomogram model[J].,2022,51(7):823-827.[doi:DOI:10.3969/j.issn.1000-7377.2022.07.013]
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非大脑中动脉狭窄的单发豆纹动脉梗塞发生早期神经功能恶化危险因素探讨及风险列线图模型建立
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《陕西医学杂志》[ISSN:1000-7377/CN:61-1281/TN]

卷:
51
期数:
2022年7期
页码:
823-827
栏目:
临床研究
出版日期:
2022-07-05

文章信息/Info

Title:
Risk factors of early neurological function deterioration in single lenticulostriate artery infarction patients without middle cerebral artery stenosis and the establishment of risk nomogram model
作者:
黄四春; 张忠胜; 余炳坚; 刘双凤
(清远市人民医院脑科三区,广东 清远 511500)
Author(s):
HUANG Sichun; ZHANG Zhongsheng; YU Bingjian; LIU Shuangfeng
(The Third District of Brain Department,Qingyuan People's Hospital,Qingyuan 511500,China)
关键词:
脑卒中;  非大脑中动脉狭窄;  单发豆纹动脉梗塞;  早期神经功能恶化;  危险因素;  列线图模型
Keywords:
Stroke;  Non-MCA stenosis;  Single lenticulostriate artery infarction;  Early neurological deterioration;  Risk factors;  Nomogram model
分类号:
R 742
DOI:
DOI:10.3969/j.issn.1000-7377.2022.07.013
文献标志码:
A
摘要:
目的:探讨非大脑中动脉(MCA)狭窄的单发豆纹动脉梗塞发生早期神经功能恶化的危险因素,并建立列线图模型。方法:采用回顾性分析方法,选取诊断为短暂性脑缺血发作(TIA)以及轻型卒中的患者160例,其中非MCA狭窄的单发豆纹动脉梗塞发生早期神经功能恶化的患者49例为观察组,未发生早期神经功能恶化患者111例为对照组。收集患者的一般资料与临床资料,采用多因素回归分析筛选出非MCA狭窄的单发豆纹动脉梗塞发生早期神经功能恶化的独立危险因素,对筛选出的独立危险因素建立列线图预测模型。结果:多因素Logistic回归分析结果表明,年龄、糖尿病、糖化血红蛋白(HbA1c)、同型半胱氨酸(HCY)、入院时高体温和房颤为非MCA狭窄的单发豆纹动脉梗塞发生早期神经功能恶化的独立危险因素(均P<0.05)。基于以上6项独立危险因素,建立预测非MCA狭窄的单发豆纹动脉梗塞发生早期神经功能恶化风险的列线图模型,结果显示预测值与实测值基本一致,由此说明该研究的列线图预测模型具有很好的预测能力,验证的结果显示C-index指数为0.82(95%CI:0.857～0.783),说明该研究的列线图模型具有良好的精准性和区分性。结论:基于年龄、糖尿病、HbA1c、HCY、入院时高体温及房颤等建立的列线图模型,对非MCA狭窄的单发豆纹动脉梗塞患者是否发生早期神经功能恶化具有预测作用,有助于早期神经功能恶化高风险患者的筛查。
Abstract:
Objective:To explore the risk factors of early neurological function deterioration in single lenticulostriate artery infarction patients without middle cerebral artery(MCA)stenosis,and to establish a nomogram model.Methods:A total of 60 patients diagnosed as transient ischemic attack(TIA)and mild stroke were selected.Among them,49 single lenticulostriate artery infarction patients with early neurological deterioration without MCA stenosis were selected as observation group,and 111 patients without early neurological deterioration were selected as control group.The general and clinical data of the patients were collected.The independent risk factors for early neurological deterioration of single lenticulostriate artery infarction without MCA stenosis were screened by multivariate regression analysis.A nomogram prediction model was established for the screened independent risk factors.Results:The results of multivariate Logistic regression analysis showed that age,diabete,HbA1c,HCY,high body temperature at admission and atrial fibrillation were independent risk factors for the early neurological deterioration in single lenticular artery infarction patients without MCA stenosis(all P<0.05).Based on the above 6 independent risk factors,a nomogram model was established to predict the risk of early neurological deterioration in single lenticular artery infarction patients without MCA stenosis.The results showed that the predicted value was basically consistent with the measured value,which explained the nomogram model had a good predictive ability.The verification results showed that the C-index was 0.82(95%CI:0.857 to 0.783),indicating that the nomogram model had good accuracy and distinguishability.Conclusion:The nomogram model based on age,diabetes,HbA1c,HCY,high temperature at admission and atrial fibrillation can predict whether single lenticulostriate artery infarction patients without MCA stenosis develop early neurological deterioration,and are helpful for screening patients with high risk of early neurological deterioration.

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备注/Memo

备注/Memo:
基金项目:广东省清远市科技计划项目(2017B017)
更新日期/Last Update: 2022-07-05