International Medicine and Health Guidance News ›› 2024, Vol. 30 ›› Issue (21): 3522-3526.DOI: DOI: 10.3760/cma.j.issn.1007-1245.2024.21.001

• Cerebrovascular Disease •     Next Articles

Risk factors in high-risk people of ischemic stroke

Li Cuicui, Zhong Guangzhi, Cai Donghao, Mei Chuangchuang   

  1. Clinical Laboratory, Guangdong Second Traditional Chinese Medicine Hospital, Guangzhou 510095, China

  • Received:2024-06-11 Online:2024-11-01 Published:2024-11-11
  • Contact: Li Cuicui, Email: 328306768@qq.com
  • Supported by:

    Scientific Research Project of Guangdong Bureau of Traditional Chinese Medicine (20241026)

缺血性中风高危人群相关危险因素的价值分析

黎翠翠  钟广智  蔡栋昊  梅闯闯   

  1. 广东省第二中医院检验科,广州 510095

  • 通讯作者: 黎翠翠,Email:328306768@qq.com
  • 基金资助:

    广东省中医药局科研项目(20241026)

Abstract:

Objective To explore the influence of different risk indicators on ischemic stroke and to identify the risk factors for high-risk people of ischemic stroke. Methods One hundred and six patients with ischemic stroke treated at Guangdong Second Traditional Chinese Medicine Hospital from May 2023 to January 2024 were selected as an observation group, including 62 males and 44 females. One hundred and six healthy examinees during the same period were selected as a control group, including 52 males and 54 females. Their clinical data, including age, gender, and concomitant diseases, of both groups were collected. All the objects were taken blood to detect blood lipids and coagulation indicators. The data were compared between the two groups by the independent sample t test and χ2 test. The independent risk factors for cerebral infarction were analyzed using the logistic regression model. The receiver operating characteristic curve (ROC) was used to analyze continuous variables with statistical significance in univariate analysis. Results The observation group were (64.42±10.74) years old, and the control group (39.37±12.75) years old, with a statistical difference between the two groups (P<0.05). The proportions of the ones with hypertension, diabetes, and heart disease and the levels of fibrinogen (FIB), D-dimer and triacylglycerol (TG) in the observation group were higher than those in the control group [77.4% (82/106) vs. 0, 48.1% (51/106) vs. 0, 16.0% (17/106) vs. 0, (4.07±1.22) g/L vs. (2.84±0.38) g/L, (1.25±0.98) mg/L vs. (0.25±0.11) mg/L, and (1.65±0.69) mmol/L vs. (1.07±0.35) mmol/L]; the levels of total cholesterol (TC), high density lipoprotein (HDL), and low density lipoprotein (LDL) in the observation group were lower than those in the control group [(3.54±0.74)mmol/L vs. (4.71±0.59) mmol/L, (0.98±0.17) mmol/L vs. (1.53±0.19) mmol/L, and (2.01±0.65) mmol/L vs. (3.14±0.64) mmol/L]; there were statistical differences (all P<0.05). The logistic regression analysis showed that age, hypertension, diabetes, TG, and D-dimer were independent risk factors for ischemic stroke, and the HDL decrease was closely related to ischemic stroke (all P<0.05). The results of ROC showed that the areas under the curves (AUC) of TG, HDL, D-dimer, and their combination were 0.708, 0.969, 0.870, and 0.998. Conclusion Age, hypertension, diabetes, TG, D-dimer, and HDL are closely related to the occurrence and development of ischemic stroke, and combined detection can help identify the high-risk people of ischemic stroke.

Key words:

Ischemic stroke, Risk factors, Combined detection, High-risk people

摘要:

目的 探讨不同风险指标对缺血性中风的影响,筛选出缺血性中风高危人群的风险因素。方法 选取2023年5月至2024年1月广东省第二中医院收治的106例缺血性中风住院患者为观察组(男62例、女44例),同期106例健康体检者为对照组(男52例、女54例)。收集两组临床资料,包括年龄、性别、合并疾病等,所有研究对象均抽取静脉血检测血脂及凝血指标。组间比较采用t检验、χ2检验,logistic回归模型分析中风发生的独立危险因素,受试者操作特征曲线(ROC)分析单因素中有统计学意义的连续变量。结果 观察组年龄(64.42±10.74)岁,对照组(39.37±12.75)岁,差异有统计学意义(P<0.05)。观察组合并高血压、糖尿病和心脏病比例高于对照组[77.4%(82/106)比0、48.1%(51/106)比0、16.0%(17/106)比0],纤维蛋白原(FIB)、D-二聚体、甘油三酯(TG)水平高于对照组[(4.07±1.22)g/L比(2.84±0.38)g/L、(1.25±0.98)mg/L比(0.25±0.11)mg/L、(1.65±0.69)mmol/L比(1.07±0.35)mmol/L],总胆固醇(TC)、高密度脂蛋白(HDL)、低密度脂蛋白(LDL)水平低于对照组[(3.54±0.74)mmol/L比(4.71±0.59)mmol/L、(0.98±0.17)mmol/L比(1.53±0.19)mmol/L、(2.01±0.65)mmol/L比(3.14±0.64)mmol/L],差异均有统计学意义(均P<0.05)。logistic回归分析显示,年龄、高血压、糖尿病、TG、D-二聚体为缺血性中风的独立危险因素,HDL水平降低与缺血性中风密切相关(均P<0.05);ROC结果显示,TG、HDL、D-二聚体、联合指标预测概率的AUC分别是0.708、0.969、0.870、0.998。结论 年龄、高血压、糖尿病、TG、D-二聚体、HDL与缺血性中风的发生和发展关系密切,联合监测有助于缺血性中风高危人群的筛选。

关键词:

缺血性中风, 风险因素, 联合监测, 高危人群