Integrated assessment model by logistic regression for stroke-based on the evidence-based data of Asian population

Abstract:

Objective：To explore the integrated assessment model for stroke risk among Asian population based on the results of Meta analysis. Methods：Based on the data in the Ｃohort study and case-control study of stroke，Meta analysis was used to combine risk factors. Integrated assessment model by logistic regression was built based on the pooled odds ratio（OR）. Results：Seven Cohort stud－ies and 21 case-control studies were included in this study including 17 risk factors. After screening，10 factors were admitted in the model，including total cholesterol≥6.00 mmol/L，systolic blood pressure≥140 mmHg，hypertension，diabetes，coronary heart disease，family history of stroke，smoking，long-term drinking，long-term exercises and high salt diet and the pooled ORs were 1.99，5.09，3.97，1.82，2.10，2.64，1.69，1.37，0.60 and 1.95. Conclusions：Integrated assessment model of stroke among Asian population is built through the systematic review. This model，based on data of evidence-based medicine，successfully avoids the bias of small sample and is of practical significance in the prevention of stroke among Asian population.