TY - JOUR
T1 - Predictive models for arteriovenous fistula maturation.
AU - Al Shakarchi, Julien
AU - McGrogan, Damian
AU - Van Der Veer, Sabine
AU - Sperrin, Matthew
AU - Inston, Nicholas
PY - 2016/2/5
Y1 - 2016/2/5
N2 - PURPOSE: Haemodialysis (HD) is a lifeline therapy for patients with end-stage renal disease (ESRD). A critical factor in the survival of renal dialysis patients is the surgical creation of vascular access, and international guidelines recommend arteriovenous fistulas (AVF) as the gold standard of vascular access for haemodialysis. Despite this, AVFs have been associated with high failure rates. Although risk factors for AVF failure have been identified, their utility for predicting AVF failure through predictive models remains unclear. The objectives of this review are to systematically and critically assess the methodology and reporting of studies developing prognostic predictive models for AVF outcomes and assess them for suitability in clinical practice. METHODS: Electronic databases were searched for studies reporting prognostic predictive models for AVF outcomes. Dual review was conducted to identify studies that reported on the development or validation of a model constructed to predict AVF outcome following creation. Data were extracted on study characteristics, risk predictors, statistical methodology, model type, as well as validation process. RESULTS: We included four different studies reporting five different predictive models. Parameters identified that were common to all scoring system were age and cardiovascular disease. CONCLUSIONS: This review has found a small number of predictive models in vascular access. The disparity between each study limits the development of a unified predictive model.
AB - PURPOSE: Haemodialysis (HD) is a lifeline therapy for patients with end-stage renal disease (ESRD). A critical factor in the survival of renal dialysis patients is the surgical creation of vascular access, and international guidelines recommend arteriovenous fistulas (AVF) as the gold standard of vascular access for haemodialysis. Despite this, AVFs have been associated with high failure rates. Although risk factors for AVF failure have been identified, their utility for predicting AVF failure through predictive models remains unclear. The objectives of this review are to systematically and critically assess the methodology and reporting of studies developing prognostic predictive models for AVF outcomes and assess them for suitability in clinical practice. METHODS: Electronic databases were searched for studies reporting prognostic predictive models for AVF outcomes. Dual review was conducted to identify studies that reported on the development or validation of a model constructed to predict AVF outcome following creation. Data were extracted on study characteristics, risk predictors, statistical methodology, model type, as well as validation process. RESULTS: We included four different studies reporting five different predictive models. Parameters identified that were common to all scoring system were age and cardiovascular disease. CONCLUSIONS: This review has found a small number of predictive models in vascular access. The disparity between each study limits the development of a unified predictive model.
U2 - 10.5301/jva.5000500
DO - 10.5301/jva.5000500
M3 - Article
C2 - 26847738
SN - 1724-6032
JO - The journal of vascular access
JF - The journal of vascular access
ER -