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Evolution of Automated Peritoneal Dialysis Machines
Anna Giuliani1, Carlo Crepaldi1, Sabrina Milan Manani1
1Department of Nephrology, Dialysis and Transplantation, San Bortolo Hospital, Vicenza, Italy.
Remote patient management (RPM) via the HOMECHOICE CLARIA cycler and SHARESOURCE software enhances peritoneal dialysis (PD). This innovation improves technique survival, reduces complications, and lowers costs for long-term PD patients.
Area of Science:
- Nephrology
- Biomedical Engineering
Background:
- Peritoneal dialysis (PD) has evolved significantly with improvements in fluids, catheter safety, and understanding of the peritoneal membrane.
- Early PD techniques relied on manual gravity-driven fluid exchange, later evolving to semi-automatic and automatic machines for nocturnal treatments.
Purpose of the Study:
- To highlight advancements in PD techniques, focusing on the transition from manual methods to automated cyclers.
- To introduce the HOMECHOICE CLARIA system with SHARESOURCE software and its remote patient management (RPM) capabilities.
- To evaluate the impact of RPM on long-term PD outcomes.
Main Methods:
- Review of historical advancements in PD fluid delivery and machine evolution.
- Introduction of the HOMECHOICE CLARIA cycler and its integrated SHARESOURCE software.
- Description of the bidirectional communication protocol enabling remote patient management (RPM).
Main Results:
- The HOMECHOICE CLARIA system with SHARESOURCE software overcomes limitations of previous PD technologies.
- Remote patient management (RPM) facilitates better adherence and complication management.
- RPM in long-term PD patients has shown increased technique survival, fewer complications, and reduced healthcare costs.
Conclusions:
- The integration of advanced cycler technology and RPM represents a significant leap forward in peritoneal dialysis.
- Remote patient management offers a more efficient and effective approach to managing patients on long-term PD.
- This technological evolution promises improved patient outcomes and resource utilization in PD therapy.
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