{"title":"预测中老年妇女缺血性脑卒中主要亚型的因素","authors":"M. Maximova, V. Y. Sazonova","doi":"10.54101/acen.2023.1.1","DOIUrl":null,"url":null,"abstract":"Introduction. Brain health and active longevity are affected by a number of stroke risk factors. We should identify their relative impact on the main subtypes of ischemic stroke (IS) in middle-aged and senior women to consider prevention and management strategies. \nObjective. To assess prevalence of isolated and combined factors that may contribute with a high probability to development of the various IS subtypes in women aged 4574 years. \nMaterials and methods. The study included 348 female patients aged 4574 years including 145 inpatients with carotid IS (main group) from Neurology Department 2, the Research Center of Neurology, and 203 women with cognitive disorders due to the chronic cerebral ischemia (controls). To assess the impact of various risk factors on the main IS subtypes, we generated multivariate predictive models using logistic regression and the Wald test. \nResults. Predictive modeling of atherothrombotic IS demonstrated that type 2 diabetes mellitus increases IS risk by over 5 times (odds ratio [OR] = 5.961; 95% confidence interval [CI] 1.10232.257; р = 0.038); internal carotid artery stenosis, by 7 times (OR = 7.187; 95% CI 1.82728.273; р = 0.005); history of transient ischemic attacks (TIA), by 61 times (OR = 61.442; 95% CI 7.673491.998; р 0.001); excessive alcohol intake, by 49 times (OR = 49,382; 95% CI 4.557535.121; р = 0.001); and HTN severity, by 4 times (OR = 4.445; 95% CI 2.3318.476; р 0.001). Predictive modeling of cardioembolic IS demonstrated that post-infarction cardiosclerosis increases IS risk by over 118 times (OR = 118.025; 95% CI 5.2102673.796; р = 0.003), atrial fibrillation, by 108 times (OR = 108.493; 95% CI 24.312484.159; р 0.001), history of TIA, by over 71 times (OR = 71.558; 95% CI 7.945644.535; р 0.001); and HTN severity, by over 3 times (OR = 3.957; 95% CI 2.0697.566; р 0.001). Predictive modeling of lacunar IS demonstrated that type 2 diabetes mellitus increases IS risk by 8 times (OR = 8.324; 95% CI 1.92336.041; р = 0.005), history of IS, by over 8 times (OR = 8.99; 95% CI 1.77245.598; р = 0.008); and HTN severity, by 7 times (OR = 7.139; 95% CI 3.49114.599; р 0.001). \nConclusion. We identified a number of risk factors that may contribute to the development of the main IS subtypes in middle-aged and senior women.","PeriodicalId":36946,"journal":{"name":"Annals of Clinical and Experimental Neurology","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-03-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Factors that pre-determine the main subtypes of ischemic stroke in middle-aged and senior women\",\"authors\":\"M. Maximova, V. Y. Sazonova\",\"doi\":\"10.54101/acen.2023.1.1\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Introduction. Brain health and active longevity are affected by a number of stroke risk factors. We should identify their relative impact on the main subtypes of ischemic stroke (IS) in middle-aged and senior women to consider prevention and management strategies. \\nObjective. To assess prevalence of isolated and combined factors that may contribute with a high probability to development of the various IS subtypes in women aged 4574 years. \\nMaterials and methods. The study included 348 female patients aged 4574 years including 145 inpatients with carotid IS (main group) from Neurology Department 2, the Research Center of Neurology, and 203 women with cognitive disorders due to the chronic cerebral ischemia (controls). To assess the impact of various risk factors on the main IS subtypes, we generated multivariate predictive models using logistic regression and the Wald test. \\nResults. Predictive modeling of atherothrombotic IS demonstrated that type 2 diabetes mellitus increases IS risk by over 5 times (odds ratio [OR] = 5.961; 95% confidence interval [CI] 1.10232.257; р = 0.038); internal carotid artery stenosis, by 7 times (OR = 7.187; 95% CI 1.82728.273; р = 0.005); history of transient ischemic attacks (TIA), by 61 times (OR = 61.442; 95% CI 7.673491.998; р 0.001); excessive alcohol intake, by 49 times (OR = 49,382; 95% CI 4.557535.121; р = 0.001); and HTN severity, by 4 times (OR = 4.445; 95% CI 2.3318.476; р 0.001). Predictive modeling of cardioembolic IS demonstrated that post-infarction cardiosclerosis increases IS risk by over 118 times (OR = 118.025; 95% CI 5.2102673.796; р = 0.003), atrial fibrillation, by 108 times (OR = 108.493; 95% CI 24.312484.159; р 0.001), history of TIA, by over 71 times (OR = 71.558; 95% CI 7.945644.535; р 0.001); and HTN severity, by over 3 times (OR = 3.957; 95% CI 2.0697.566; р 0.001). Predictive modeling of lacunar IS demonstrated that type 2 diabetes mellitus increases IS risk by 8 times (OR = 8.324; 95% CI 1.92336.041; р = 0.005), history of IS, by over 8 times (OR = 8.99; 95% CI 1.77245.598; р = 0.008); and HTN severity, by 7 times (OR = 7.139; 95% CI 3.49114.599; р 0.001). \\nConclusion. We identified a number of risk factors that may contribute to the development of the main IS subtypes in middle-aged and senior women.\",\"PeriodicalId\":36946,\"journal\":{\"name\":\"Annals of Clinical and Experimental Neurology\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-03-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Annals of Clinical and Experimental Neurology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.54101/acen.2023.1.1\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"Multidisciplinary\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Annals of Clinical and Experimental Neurology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.54101/acen.2023.1.1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"Multidisciplinary","Score":null,"Total":0}
引用次数: 0
摘要
介绍。大脑健康和活跃寿命受到许多中风风险因素的影响。我们应该确定它们对中老年妇女缺血性卒中(IS)主要亚型的相对影响,以考虑预防和管理策略。目标。评估4574岁女性中可能导致各种IS亚型高概率发展的孤立因素和综合因素的患病率。材料和方法。研究纳入348例女性患者,年龄4574岁,其中神经内科研究中心神经内科二科颈动脉IS住院患者145例(主要组),慢性脑缺血认知障碍女性203例(对照组)。为了评估各种危险因素对主要IS亚型的影响,我们使用逻辑回归和Wald检验建立了多变量预测模型。结果。动脉粥样硬化血栓性IS的预测模型显示,2型糖尿病使IS风险增加5倍以上(优势比[OR] = 5.961;95%置信区间[CI] 1.10232.257;r = 0.038);颈内动脉狭窄7倍(OR = 7.187;95% ci 1.82728.273;r = 0.005);有过性脑缺血发作(TIA)史者,增加61倍(OR = 61.442;95% ci 7.673491.998;р0.001);过量饮酒,增加49倍(OR = 49,382);95% ci 4.557535.121;r = 0.001);和HTN严重程度,分别增加4倍(OR = 4.445;95% ci 2.3318.476;р0.001)。心脏栓塞性IS的预测模型显示,梗死后心脏硬化使IS风险增加118倍以上(OR = 118.025;95% ci 5.2102673.796;OR = 108.493;95% ci 24.312484.159;- 0.001), TIA病史,超过71倍(OR = 71.558;95% ci 7.945644.535;р0.001);和HTN严重程度,分别提高3倍以上(OR = 3.957;95% ci 2.0697.566;р0.001)。腔隙性IS的预测模型显示,2型糖尿病使IS风险增加8倍(OR = 8.324;95% ci 1.92336.041;r = 0.005), IS病史,OR = 8.99;95% ci 1.77245.598;r = 0.008);和HTN严重程度分别提高7倍(OR = 7.139;95% ci 3.49114.599;р0.001)。结论。我们确定了一些可能导致中老年女性主要IS亚型发展的风险因素。
Factors that pre-determine the main subtypes of ischemic stroke in middle-aged and senior women
Introduction. Brain health and active longevity are affected by a number of stroke risk factors. We should identify their relative impact on the main subtypes of ischemic stroke (IS) in middle-aged and senior women to consider prevention and management strategies.
Objective. To assess prevalence of isolated and combined factors that may contribute with a high probability to development of the various IS subtypes in women aged 4574 years.
Materials and methods. The study included 348 female patients aged 4574 years including 145 inpatients with carotid IS (main group) from Neurology Department 2, the Research Center of Neurology, and 203 women with cognitive disorders due to the chronic cerebral ischemia (controls). To assess the impact of various risk factors on the main IS subtypes, we generated multivariate predictive models using logistic regression and the Wald test.
Results. Predictive modeling of atherothrombotic IS demonstrated that type 2 diabetes mellitus increases IS risk by over 5 times (odds ratio [OR] = 5.961; 95% confidence interval [CI] 1.10232.257; р = 0.038); internal carotid artery stenosis, by 7 times (OR = 7.187; 95% CI 1.82728.273; р = 0.005); history of transient ischemic attacks (TIA), by 61 times (OR = 61.442; 95% CI 7.673491.998; р 0.001); excessive alcohol intake, by 49 times (OR = 49,382; 95% CI 4.557535.121; р = 0.001); and HTN severity, by 4 times (OR = 4.445; 95% CI 2.3318.476; р 0.001). Predictive modeling of cardioembolic IS demonstrated that post-infarction cardiosclerosis increases IS risk by over 118 times (OR = 118.025; 95% CI 5.2102673.796; р = 0.003), atrial fibrillation, by 108 times (OR = 108.493; 95% CI 24.312484.159; р 0.001), history of TIA, by over 71 times (OR = 71.558; 95% CI 7.945644.535; р 0.001); and HTN severity, by over 3 times (OR = 3.957; 95% CI 2.0697.566; р 0.001). Predictive modeling of lacunar IS demonstrated that type 2 diabetes mellitus increases IS risk by 8 times (OR = 8.324; 95% CI 1.92336.041; р = 0.005), history of IS, by over 8 times (OR = 8.99; 95% CI 1.77245.598; р = 0.008); and HTN severity, by 7 times (OR = 7.139; 95% CI 3.49114.599; р 0.001).
Conclusion. We identified a number of risk factors that may contribute to the development of the main IS subtypes in middle-aged and senior women.