Exploring risk patterns for incident ischemic stroke during more than a decade of follow-up: A survival tree analysis.

BACKGROUND AND PURPOSE

The burden of stroke is increasing in low to middle income countries. Identifying risk patterns for ischemic stroke (IS) can help develop individualized preventive measures for at risk populations.

METHODS

The study population included 3088 Iranian subjects (1426 men) aged ≥50 years, free of cardiovascular diseases at baseline. The risk factors for ischemic stroke were identified by multivariate Cox analysis. A survival tree model was used to explore interactions between risk factors.

RESULTS

During 12years of follow-up, 106 cases of IS occurred. Age (hazard ratio (HR): 1.08), male gender (HR: 1.69), diastolic blood pressure (DBP) (HR: 1.04), fasting plasma glucose (HR: 1.10), waist circumference (WC) (HR: 1.03) and smoking (HR: 1.96), were associated with increased risk and estimated glomerular filtration rate (eGFR) (HR: 0.97) and wrist circumference (HR: 0.68) decreased the risk of IS (all P-values <0.05). The survival tree identified six risk patterns. The highest and lowest risks were related to subjects ≥60.5years with DBP ≥100mmHg and subjects <60.5years with DBP<97mmHg, respectively. In subjects ≥60.5years with DBP <100mmHg, risk of ischemic stroke was determined by WC ≥96.5cm or (eGFR) <60.87ml/min/1.73m.

CONCLUSION

By applying survival tree as a complementary method to the conventional Cox-analysis, for the first time, we identified risk patterns of ischemic stroke and explored the interactions between risk factors of the disease. DBP was the most important predictor of ischemic stroke in middle-aged and old subjects. In elderly subjects with DBP <100mmHg, abdominal obesity was associated with high risk; however, among non-obese subjects, kidney dysfunction increased the risk of ischemic stroke. Wrist circumference was reported as a novel predictor.