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The Peritoneal Dialysis Telemedicine-assisted Platform Cohort (PDTAP) Study: Design and methods.

Tian-Tian MaZhikai YangShaomei LiHuaying PeiJinghong ZhaoYi LiZibo XiongYumei LiaoZhanzheng ZhaoJing XiaoYing LiQiongzhen LinZhaoxia ZhengLiping DuanGang FuShanshan GuoWenbo HuYulin LiFuyun SunNan ZhaoQin WangTianrong JiBeiru ZhangRui YuLi HaoGuiling LiuLi ZuoHuiping ZhaoCaili WangLirong DengHongyu ChenLi LiYulan ShenYong ZhangLihua WangYan YanZhigang MaYingping LiXianchao ZhangXuejian WangYirong LiuXinying GaoZhonggao XuLi ZhangShutong DuCui ZhaoXiaoli ChenHongyi LiYingli YueShanshan ChenYingchun MaYuanyuan WeiJingwei ZhouJie LvYingdong ZhengSainan ZhuMinghui ZhaoJie Dong
Published in: Peritoneal dialysis international : journal of the International Society for Peritoneal Dialysis (2020)
The PDTAP study aims to explore potential predictors and their effects on patient survival, technique survival, and infectious and noninfectious complications using a newly developed PD telemedicine system to collect multicenter, structured data in real-world practice. Substantial and transformable findings in relation to PD practices were expected. This study also developed a national-level infrastructure for further collaboration and ancillary investigation.
Keyphrases
  • peritoneal dialysis
  • healthcare
  • primary care
  • end stage renal disease
  • quality improvement
  • human health
  • deep learning