Value of corrected QT interval dispersion in identifying XXXX initiating dialysis at increased risk of total and cardiovascular mortality.

@entity1 @entity943 @entity6 @entity944 @entity1283 @entity460 @entity1162 @entity204 @entity65 @entity454
@entity65 remains the most common cause of @entity204 in @entity454 ( @entity454 ). Although several predictors of @entity204 have been reported, identifying individuals most at risk remains difficult. Previous studies in nonuremic populations have associated cardiac mortality, in particular @entity944 , with @entity1162 (QTd); defined as the difference between the maximal and minimal QT interval on a standard electrocardiogram. The present study aimed to determine the prognostic value of QTd and corrected QTd (QTdc) in predicting @entity65 , and @entity943 -related mortality in @entity454 @entity1 initiating dialysis. The study was a retrospective cohort of adult @entity454 @entity1 starting peritoneal dialysis or hemodialysis between 1990 and 1994. Statistical analysis was by Cox proportional hazard modeling and Kaplan-Meier analysis. Primary study endpoints were @entity65 , and @entity943 -related mortality. Nonfatal @entity65 were a secondary endpoint. A total of 147 @entity1 were studied for a period of 5 to 9 years. In Cox modeling, QTdc was an independent predictor of total (relative risk [RR] = 1.53; difference for RR = 50 msec; P = 0.0001) and cardiovascular mortality (RR = 1.57; difference for RR = 50 msec; P = 0.028) and trended toward @entity943 -related mortality (P = 0.061). Total mortality also was predicted independently by lack of renal transplantation, radiographic @entity1283 , and predialysis serum albumin. In multivariate analysis, QTdc was associated weakly with serum @entity460 , mean QT interval, and presence of @entity6 . QTdc may be a useful marker for identifying dialysis @entity1 at an increased risk for overall and cardiovascular mortality.
