PREDICTORS OF HEART FAILURE AMONG PATIENTS UNDERGOING MAINTENANCE HEMODIALYSIS THERAPY

Abstract

This study aimed at identifying predictors of heart failure among patients undergoing maintenance hemodialysis therapy at the Dialysis Center of Abood Military Hospital, a major tertiary referral canter in Aden, Yemen. The study utilized a quantitative research approach with an analytical cross-sectional design. The sample of the study is patients who had experienced MHD (51patients) in the center. Data was collected using patient interview form, Laboratory data (documents), echocardiography and diagnosis of heart failure (outcome variable). SPSS v. 21 was used to analyze data. Based on the analysis of the data, the study found a strong predictive ability for heart failure within the study sample. The overall accuracy is 84.3%. It is found that that patients with hypertension are 14 times more likely to develop heart failure compared to those without hypertension and that that patients with smoking are 11 times more likely to develop heart failure compared to those nonsmokers... the odd ration is (OR = 14.03, 95% CI: 0.73–269.35, p = 0.035). and (OR = 11.53, 95% CI: 0.55–248.18, p = 0.028). respectively. The findings showed that there is indeed a statistically significant predictive ability within the model, but it is driven almost entirely by hypertension and smoking rather than the full suite of socio-demographic and dialysis-related factors.