腹膜透析中的钠去除:是否有新的透析充分性参数的空间?

A. Lima, J. Tavares, Nicole Pestana, M. Carvalho, A. Cabrita, A. Rodrigues
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引用次数: 1

摘要

在腹膜透析(PD)(以及血液透析)中,以Kt/v尿素测量的小溶质清除率长期以来被用作透析充分性的替代指标。最初认为更好的尿素清除率可以增加透析患者的生存(如CANUSA试验所示)(1),但对数据的再分析显示,残余肾功能作为患者生存的预测因子有更大的贡献。两项随机对照试验(RCT)(2,3)支持这一观察结果,表明达到较高Kt/v的患者没有生存益处。然后修订了指南,建议最低Kt/v为1,7/周,但很少强调透析充分性的其他参数。因此,容量过载和钠的去除已经获得了主要的关注,因为它们的优化与PD患者死亡率的降低有关(4,5)。钠去除不足与液体过载相关,导致心室肥厚和心血管死亡率增加(6)。个性化处方是最佳钠去除的关键,因为PD技术(CAPD与APD)之间存在差异,并且出现了新的钠去除策略(低钠溶液和适应性PD)。总之,未来的指南应该解决与增加生存结果相关的参数(钠去除起着重要作用),并放弃目前的“一刀切”处方模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sodium removal in peritoneal dialysis: is there room for a new parameter in dialysis adequacy?
In peritoneal dialysis (PD) (as well as in hemodialysis) small solute clearance measured as Kt/v urea has long been used as a surrogate of dialysis adequacy. A better urea clearance was initially thought to increase survival in dialysis patients (as shown in the CANUSA trial)(1), but  reanalysis of the data showed a superior contribution of residual renal function as a predictor of patient survival. Two randomized controlled trials (RCT)(2, 3)  supported this observation, demonstrating no survival benefit in patients with higher achieved Kt/v. Then guidelines were revised and a minimum Kt/v of 1,7/week was recommended but little emphasis was given to additional parameters of dialysis adequacy. As such, volume overload and sodium removal have gained major attention, since their optimization has been associated with decreased mortality in PD patients(4, 5). Inadequate sodium removal is associated with fluid overload which leads to ventricular hypertrophy and increased cardiovascular mortality(6). Individualized prescription is key for optimal sodium removal as there are differences between PD techniques (CAPD versus APD) and new strategies for sodium removal have emerged (low sodium solutions and adapted PD). In conclusion, future guidelines should address parameters associated with increased survival outcomes (sodium removal playing an important role) and abandon the current one fit all prescription model.
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