استخدام نموذجي كوكس للمخاطر النسبية و التأثيرات المختلطة لتحليل العوامل المؤثرة على وقت البقاء للمرضى المصابين بقصور القلب

Abstract EN

To investigate the factors affecting the survival time of patients with heart failure, a total of (179) patients with heart failure were collected from Ibn al-Nafis Hospital.

Cox regression models for proportional hazards risk and Cox for mixed effects used to analyze factors related to patients' survival time.

Cox's proportional hazards results showed that age (RR = 1.32), hypertension (RR = 0.67), ARB (RR = 0.55), diuretic (RR = 1.48) and antiplatelet (RR = 0.53) had significant effects on survival time of patients.

Cox model results for mixed effects showed age effects (RR = 1.16), hypertension (RR = 0.61), Lung infections (RR = 1.43), ARB (RR = 0.64), β blockers (RR = 0.77) and antiplatelet (RR = 0.69) had a significant effect on patient survival time.

The results of this paper showed that there is a correlation between the variables of age, High blood pressure, ARB and anti-platelet but they were inconsistent with the lung-formed infections and β-blockers.