| Literature DB >> 25378976 |
Hyung Wook Kim1, Su-Hyun Kim2, Young Ok Kim3, Dong Chan Jin1, Ho Chul Song3, Euy Jin Choi3, Yong-Lim Kim4, Yon-Su Kim5, Shin-Wook Kang6, Nam-Ho Kim7, Chul Woo Yang3, Yong Kyun Kim3.
Abstract
BACKGROUND/AIMS: The effect of high-flux (HF) dialysis on mortality rates could vary with the duration of dialysis. We evaluated the effects of HF dialysis on mortality rates in incident and prevalent hemodialysis (HD) patients.Entities:
Keywords: Dialysis; Mortality; Renal dialysis
Mesh:
Year: 2014 PMID: 25378976 PMCID: PMC4219967 DOI: 10.3904/kjim.2014.29.6.774
Source DB: PubMed Journal: Korean J Intern Med ISSN: 1226-3303 Impact factor: 2.884
Baseline characteristics of incident hemodialysis patients
Values are presented as means ± SD or number (%).
ESRD, end-stage renal disease; BP, blood pressure; TC, total cholesterol; GFR, glomerular filtration rate; HD, hemodialysis; UF, ultrafiltration; spKt/V, single-pool Kt/V; K, dialyzer clearance; t, time; V, volume of water contained within the body.
Baseline characteristics of prevalent hemodialysis patients
Values are presented as means ± SD, number (%), or medians (25th-75th percentile).
ESRD, end-stage renal disease; BP, blood pressure; TC, total cholesterol; UF, ultrafiltration; spKt/V, single-pool Kt/V; K, dialyzer clearance; t, time; V, volume of water contained within the body.
Figure 1Kaplan-Meier survival curve for mortality rates associated with high-flux and low-flux membrane use in incident patients.
Multivariate Cox regression analysis of mortality rate in incident hemodialysis patients
Multivariate model includes age, gender, use of a high-flux membrane, BMI, diabetes mellitus, cardiovascular disease, cause of end-stage renal disease, systolic BP, diastolic BP, serum hemoglobin, serum albumin, serum TC, number of dialysis sessions per week, type of vascular access, and hemodialysis blood flow rates.
HR, hazard ratio; CI, confidence interval; BMI, body mass index; BP, blood pressure; TC, total cholesterol.
Figure 2Kaplan-Meier survival curve for mortality rates associated with high-flux and low-flux membrane use in prevalent patients.
Multivariate Cox regression analysis of mortality rate in prevalent hemodialysis patients
Multivariate model includes age, gender, use of a high-flux membrane, BMI, diabetes mellitus, cardiovascular disease, cause of end-stage renal disease, duration of dialysis therapy, systolic BP, diastolic BP, serum hemoglobin, serum albumin, serum TC, number of dialysis sessions per week, type of vascular access, and hemodialysis blood flow rates.
HR, hazard ratio; CI, confidence interval; BMI, body mass index; BP, blood pressure; TC, total cholesterol.
Hazard ratios for mortality rates in the high-flux versus low-flux dialysis groups according to dialysis therapy duration quartiles in prevalent patients
Multivariate model includes age, gender, use of a high-flux membrane, body mass index, diabetes mellitus, cardiovascular disease, cause of end-stage renal disease, duration of dialysis therapy, systolic blood pressure, diastolic blood pressure, serum hemoglobin, serum albumin, serum total cholesterol, number of dialysis sessions per week, type of vascular access, and hemodialysis blood flow rates.
HR, hazard ratio; CI, confidence interval.