Ierusalimskiĭ A P, Feĭgin V L, Al'perin L B, Korostyshevskiĭ M A, Verevkin E G
Zh Nevropatol Psikhiatr Im S S Korsakova. 1988;88(1):44-8.
On the basis of the data from the registry of cerebral stroke (CS) cases in Novosibirsk (covering 937 patients and 314 healthy control subjects) the authors have made a mathematical analysis of 19 factors of the risk of disease development. Nine factors have been isolated whose varying combinations were most contributory to the risk of the development of CS in the studied population: cardiac diseases, transient disorder of the cerebral circulation, arterial hypertension, atherosclerosis, aggravated heredity for cardiovascular diseases, intermittent claudication, diabetes mellitus, systematic alcohol abuse, and hypodynamia. The authors have developed a practicable and reliable system for predicting the development of cerebral stroke in apparently healthy subjects (the accuracy of prediction is 86%).
根据新西伯利亚脑卒中(CS)病例登记处的数据(涵盖937例患者和314名健康对照者),作者对疾病发生风险的19个因素进行了数学分析。已分离出9个因素,其不同组合对研究人群中CS发生风险的贡献最大:心脏病、脑循环短暂紊乱、动脉高血压、动脉粥样硬化、心血管疾病遗传易感性增加、间歇性跛行、糖尿病、长期酗酒和体力活动不足。作者开发了一种实用且可靠的系统,用于预测看似健康的受试者发生脑卒中(预测准确率为86%)。