The Impact Of Intradialytic Cycling On The Removal Of Protein-Bound Uraemic Toxins: A Randomised Cross-Over Study

INTERNATIONAL JOURNAL OF ARTIFICIAL ORGANS(2021)

引用 1|浏览12
暂无评分
摘要
The evidence on impact of intradialytic exercise on the removal of urea, is conflictive. Impact of exercise on kinetics of serum levels of protein-bound uraemic toxins, known to exert toxicity and to have kinetics dissimilar of those of urea, has so far not been explored. Furthermore, if any effect, the most optimal intensity, time point and/or required duration of intradialytic exercise to maximise removal remain obscure. We therefore studied the impact of different intradialytic cycling schedules on the removal of protein-bound uraemic toxins during haemodialysis (HD). This randomised cross-over study included seven stable patients who were dialysed with an FX800 dialyser during three consecutive midweek HD sessions of 240 min: (A) without cycling; (B) cycling for 60 min between 60th and 120th minutes of dialysis; and (C) cycling for 60 min between 150th and 210th minutes, with the same cycling load as in session B. Blood and dialysate flows were respectively 300 and 500 mL/min. Blood was sampled from the blood inlet at different time points, and dialysate was partially collected (300 mL/h). Small water soluble solutes and protein-bound toxins were quantified and intradialytic reduction ratios (RR) and overall removal were calculated per solute. Total solute removal and reduction ratios were not different between the three test sessions, except for the reduction ratios RR(60-120)and RR(150-210)for potassium. In conclusion, we add evidence to the existing literature that, regardless of the timing within the dialysis session, intradialytic exercise has no impact on small solute clearance, and demonstrated also a lack of impact for protein-bound solutes.
更多
查看译文
关键词
Dialysis adequacy, artificial kidney, apheresis & detoxification techniques, haemodialysis, solute kinetics in dialysis, chronic renal failure (CRF), intradialytic exercise
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要