Literature DB >> 29311200

Remote Patient Management in Automated Peritoneal Dialysis: A Promising New Tool.

Valérie Jotterand Drepper1, Pierre-Yves Martin2, Catherine Stoermann Chopard2, James A Sloand3.   

Abstract

Remote patient management (RPM) has the potential to help clinicians detect early issues, allowing intervention prior to development of more significant problems. A 23-year-old end-stage kidney disease patient required urgent start of renal replacement therapy. A newly available automated peritoneal dialysis (APD) RPM system with cloud-based connectivity was implemented in her care. Pre-defined RPM threshold parameters were set to identify clinically relevant issues. Red flag dashboard alerts heralded prolonged drain times leading to clinical evaluation with subsequent diagnosis of and surgical repositioning for catheter displacement, although it took several days for newly-RPM-exposed staff to recognize this issue. Post-PD catheter repositioning, drain times were again normal as indicated by disappearance of flag alerts and unremarkable cycle volume profiles. Identification of < 90% adherence to prescribed PD therapy was then documented with the RPM system, alerting the clinical staff to address this important issue given its association with significant negative clinical outcomes. Healthcare providers face a "learning curve" to effect optimal utilization of the RPM tool. Larger scale observational studies will determine the impact of RPM on APD technique survival and resource utilization.
Copyright © 2018 International Society for Peritoneal Dialysis.

Entities:  

Keywords:  2-way cloud-based connectivity platform; Home-based dialysis

Mesh:

Year:  2018        PMID: 29311200     DOI: 10.3747/pdi.2017.00054

Source DB:  PubMed          Journal:  Perit Dial Int        ISSN: 0896-8608            Impact factor:   1.756


  10 in total

Review 1.  The utility of remote patient management in peritoneal dialysis.

Authors:  Haci Hasan Yeter; Sabrina Milan Manani; Claudio Ronco
Journal:  Clin Kidney J       Date:  2021-07-06

2.  Safety, Effectiveness, and Manipulability of Peritoneal Dialysis Machines Made in China: A Randomized, Crossover, Multicenter Clinical Study.

Authors:  Xue-Ying Cao; Ya-Ni He; Jian-Hui Zhou; Shi-Ren Sun; Li-Ning Miao; Wen Chen; Jing-Ai Fang; Ming Wang; Nian-Song Wang; Hong-Li Lin; Jian Liu; Zhao-Hui Ni; Wen-Hu Liu; Yu Na; Jiu-Yang Zhao; Zhi-Yong Guo; Hong-Guang Zheng; Wei Shi; Geng-Ru Jiang; Guang-Yan Cai; Xiang-Mei Chen
Journal:  Chin Med J (Engl)       Date:  2018-12-05       Impact factor: 2.628

3.  A Telemedicine-Based Registration System for the Management of Renal Anemia in Patients on Maintenance Hemodialysis: Multicenter Study.

Authors:  Zhaohui Ni; Haijiao Jin; Gengru Jiang; Niansong Wang; Ai Peng; Zhiyong Guo; Shoujun Bai; Rong Zhou; Jianrao Lu; Yi Wang; Ying Li; Shougang Zhuang; Chen Yu; Yueyi Deng; Huimin Jin; Xudong Xu; Junli Zhang; Junli Zhao; Xiuzhi Yu; Xiaoxia Wang; Liming Zhang; Jianying Niu; Kun Liu; Xiaorong Bao; Qin Wang; Jun Ma; Chun Hu; Xiujuan Zang; Qing Yu
Journal:  J Med Internet Res       Date:  2019-05-08       Impact factor: 5.428

4.  Effects of a remote patient monitoring system for patients on automated peritoneal dialysis: a randomized crossover controlled trial.

Authors:  Kiyotaka Uchiyama; Kohkichi Morimoto; Naoki Washida; Ei Kusahana; Takashin Nakayama; Tomoaki Itoh; Takahiro Kasai; Shu Wakino; Hiroshi Itoh
Journal:  Int Urol Nephrol       Date:  2022-04-01       Impact factor: 2.266

5.  Assessing mechanical catheter dysfunction in automated tidal peritoneal dialysis using cycler software: a case control, proof-of-concept study.

Authors:  Krystell Oviedo Flores; Lukas Kaltenegger; Fabian Eibensteiner; Markus Unterwurzacher; Klaus Kratochwill; Christoph Aufricht; Franz König; Andreas Vychytil
Journal:  Sci Rep       Date:  2022-04-05       Impact factor: 4.996

6.  Time on Therapy of Automated Peritoneal Dialysis with and without Remote Patient Monitoring: A Cohort Study.

Authors:  Mauricio Sanabria; Jasmin Vesga; Bengt Lindholm; Angela Rivera; Peter Rutherford
Journal:  Int J Nephrol       Date:  2022-08-22

7.  Pilot health technology assessment study: organizational and economic impact of remote monitoring system for home automated peritoneal dialysis.

Authors:  Gianpaolo Amici; Daniela D'Angela; Antonina Lo Cicero; Dino Romanini; Francesca K Martino; Federico Spandonaro
Journal:  Int Urol Nephrol       Date:  2021-03-06       Impact factor: 2.370

8.  Telehealth for Home Dialysis in COVID-19 and Beyond: A Perspective From the American Society of Nephrology COVID-19 Home Dialysis Subcommittee.

Authors:  Susie Q Lew; Eric L Wallace; Vesh Srivatana; Bradley A Warady; Suzanne Watnick; Jayson Hood; David L White; Vikram Aggarwal; Caroline Wilkie; Mihran V Naljayan; Mary Gellens; Jeffrey Perl; Martin J Schreiber
Journal:  Am J Kidney Dis       Date:  2020-09-28       Impact factor: 8.860

9.  Water removal during automated peritoneal dialysis assessed by remote patient monitoring and modelling of peritoneal tissue hydration.

Authors:  Joanna Stachowska-Pietka; Beata Naumnik; Ewa Suchowierska; Rafael Gomez; Jacek Waniewski; Bengt Lindholm
Journal:  Sci Rep       Date:  2021-08-02       Impact factor: 4.379

10.  Remote monitoring in peritoneal dialysis: benefits on clinical outcomes and on quality of life.

Authors:  Sabrina Milan Manani; Michele Baretta; Anna Giuliani; Grazia Maria Virzì; Francesca Martino; Carlo Crepaldi; Claudio Ronco
Journal:  J Nephrol       Date:  2020-08-10       Impact factor: 4.393

  10 in total

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