Volume 25, Issue 9 (12-2018)                   RJMS 2018, 25(9): 8-16 | Back to browse issues page

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A tree regression modeling for assessment of effective factors on failure of arteriovenous fistulas among hemodialysis patients attended in Hasheminejad Kidney Center. RJMS. 2018; 25 (9) :8-16
URL: http://rjms.iums.ac.ir/article-1-4980-en.html
Abstract:   (179 Views)
Background: hemodialysis is the  sole way for management of patients with End Stage Renal Disorders (ESRD). Nowadays inserting arteriovenous fistula is one of the most common methods for effective hemodialysis for them. Several factors has been reported for failure of arteriovenous fistulas  such as diabetes, biochemical factors, low hemoglobin and increased  level of blood calcium and phosphorus . Decision tree regression modeling is more useful among clinical studies. Tree regression modeling was used for present study for assessment of causes of failure in arteriovenous fistula among hemodialysis patients who referred to Hasheminejad  Kidney Center
Patients and methods:  The material of this  historical cohort study was gathered from folders of hemodialysis patients with active and failed arteriovenous fistulas. Bivariate analysis and logistic regression analysis was performed and tree regression model created.   
Findings: There is significant association between arteriovenous fistula success and diabetes, hypertension among hemodialysis patients (P<0.001). Although we found significant association between serum level of hemoglobin and arteriovenous fistula outcome  in bivariate analysis, but regression analysis showed  only age, diabetes and hypertension could be looked upon as  independent predictors of arteriovenous fistula success.
Conclusion: Hypertension and diabetes mellitus have significant roles in  the outcome of AVF failure. Regarding the effect of “age” variable, we recommend  further studies about AVF maturation, based on different  age groups of hemodialysis patients. 
     
Type of Study: Research | Subject: General Surgery

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