» Articles » PMID: 34938532

The Utility of Remote Patient Management in Peritoneal Dialysis

Overview
Journal Clin Kidney J
Specialty Nephrology
Date 2021 Dec 23
PMID 34938532
Citations 8
Authors
Affiliations
Soon will be listed here.
Abstract

Remote patient management (RPM) programs are one of the most crucial innovations in the peritoneal dialysis (PD) field that have been developed in the last decade. RPM programs are associated with favourable clinical outcomes by increasing the adherence of the patients to PD prescription. The literature supports that RPM is associated with increased blood pressure control and technique survival, and decreased hospitalization rate, length of hospital stay and health costs. RPM programs also facilitate patient follow-up during the coronavirus disease 2019 pandemic, increase treatment adherence and lead to better clinical outcomes. However, published data remain scarce and mainly consist of observational or retrospective studies with relatively low numbers of patients. Therefore, randomized controlled trial results will be more informative to demonstrate the effect of RPM programs on clinical outcomes.

Citing Articles

Artificial intelligence in kidney transplantation: a 30-year bibliometric analysis of research trends, innovations, and future directions.

He Y, Liu P, Wei T, Liu T, Li Y, Yang J Ren Fail. 2025; 47(1):2458754.

PMID: 39910843 PMC: 11803763. DOI: 10.1080/0886022X.2025.2458754.


Co-Producing Peritoneal Dialysis Nursing Sensitive Indicators for Quality Care: A Multinational Consensus Building Design.

Baillie J, Bonner A, Guillouet S, Mikut C, Punzalan S, Kaczmarek A J Ren Care. 2025; 51(1):e70008.

PMID: 39873351 PMC: 11774010. DOI: 10.1111/jorc.70008.


Multiomics and Artificial Intelligence for Personalized Nutritional Management of Diabetes in Patients Undergoing Peritoneal Dialysis.

Mahdavi S, Anthony N, Sikaneta T, Tam P Adv Nutr. 2025; 16(3):100378.

PMID: 39842720 PMC: 11849633. DOI: 10.1016/j.advnut.2025.100378.


Effectiveness of a Customized Peritoneal Dialysis Training Program in Reducing Infection and Dropout Rates: Insights From a Singapore Hospital.

Lee P, Tay H, Luo X, Chiang S, Loh S, Lai B Cureus. 2024; 16(8):e67997.

PMID: 39347122 PMC: 11437699. DOI: 10.7759/cureus.67997.


Effect of a Management Algorithm for Wet Contamination of Peritoneal Dialysis System on the Prevention of Peritonitis: A Prospective Observational Study.

Yi C, Zhang W, Guo Q, Lin J, Chen W, Mao H Kidney Dis (Basel). 2024; 10(4):295-302.

PMID: 39131886 PMC: 11309752. DOI: 10.1159/000539582.


References
1.
Atas N, Erten Y, Ulusal Okyay G, Inal S, Topal S, Onec K . Left ventricular hypertrophy and blood pressure control in automated and continuous ambulatory peritoneal dialysis patients. Ther Apher Dial. 2014; 18(3):297-304. DOI: 10.1111/1744-9987.12104. View

2.
Bernardini J, Nagy M, Piraino B . Pattern of noncompliance with dialysis exchanges in peritoneal dialysis patients. Am J Kidney Dis. 2000; 35(6):1104-10. DOI: 10.1016/s0272-6386(00)70047-3. View

3.
Mawar S, Gupta S, Mahajan S . Non-compliance to the continuous ambulatory peritoneal dialysis procedure increases the risk of peritonitis. Int Urol Nephrol. 2011; 44(4):1243-9. DOI: 10.1007/s11255-011-0079-7. View

4.
Chan S, Cho Y, Koh Y, Boudville N, Clayton P, McDonald S . Association of Socio-Economic Position with Technique Failure and Mortality in Australian Non-Indigenous Peritoneal Dialysis Patients. Perit Dial Int. 2017; 37(4):397-406. DOI: 10.3747/pdi.2016.00209. View

5.
Milan Manani S, Crepaldi C, Giuliani A, Virzi G, Garzotto F, Riello C . Remote Monitoring of Automated Peritoneal Dialysis Improves Personalization of Dialytic Prescription and Patient's Independence. Blood Purif. 2018; 46(2):111-117. DOI: 10.1159/000487703. View