Literature DB >> 29694954

Remote Monitoring of Automated Peritoneal Dialysis Improves Personalization of Dialytic Prescription and Patient's Independence.

Sabrina Milan Manani1,2, Carlo Crepaldi1,2, Anna Giuliani1,2, Grazia Maria Virzì1,2, Francesco Garzotto1,2, Caterina Riello1,2, Massimo de Cal1,2, Mitchell H Rosner3, Claudio Ronco1,2.   

Abstract

BACKGROUND: Remote monitoring (RM) supports a healthcare model that enhances patients' self-management. We evaluated the utility of RM in patients undergoing automated peritoneal dialysis (APD).
METHODS: We observed 37 -RM-APD patients, 16 incidents, and 21 prevalents switched from traditional APD (T-APD). We observed the number of changes for APD prescription, the frequency of visits, and PD adequacy parameters during 1 year of RM utilization in APD.
RESULTS: The APD prescriptions were modified more frequently in RM-APD vs. T-APD in incident (p = 0.002) and prevalent patients (p = 0.045). Visits were significant less in -RM-APD than in T-APD for incident patient (p = 0.008). No significant difference was found between prevalent populations. PD adequacy was similar in both groups.
CONCLUSIONS: Our results demonstrate that RM allows an efficient use of healthcare resources, helping to improve personalization of APD prescription and to intervene early with "trouble shooting", thereby reducing the frequency of in-person visits for emergency problems.
© 2018 S. Karger AG, Basel.

Entities:  

Keywords:  Automated peritoneal dialysis; In-person visit; Patient’s independence; Prescription of dialysis; Remote monitoring; Two-way communication

Mesh:

Year:  2018        PMID: 29694954     DOI: 10.1159/000487703

Source DB:  PubMed          Journal:  Blood Purif        ISSN: 0253-5068            Impact factor:   2.614


  7 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.  Remote Automated Peritoneal Dialysis Management in Colombia.

Authors:  Alfonso Bunch; Jasmin I Vesga; David O Camargo; Leyder Corzo; Alejandra P Molano; Martha E Devia; Maria C Rios; Claudia P Rodriguez; Ricardo Sanchez; Angela S Rivera; Rafael M Sanabria
Journal:  Kidney Int Rep       Date:  2019-03-29

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

Review 4.  Assisted peritoneal dialysis: strategies and outcomes.

Authors:  Anna Giuliani; Luca Sgarabotto; Sabrina Milan Manani; Ilaria Tantillo; Claudio Ronco; Monica Zanella
Journal:  Ren Replace Ther       Date:  2022-01-10

5.  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

6.  Preventing infectious diseases in Intensive Care Unit by medical devices remote control: Lessons from COVID-19.

Authors:  Francesco Garzotto; Rosanna Irene Comoretto; Marlies Ostermann; Federico Nalesso; Dario Gregori; Maria Giuseppina Bonavina; Giorgio Zanardo; Gaudenzio Meneghesso
Journal:  J Crit Care       Date:  2020-10-27       Impact factor: 3.425

7.  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

  7 in total

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