Clinical utility of remote monitoring-derived cycle waveform interpretation for troubleshooting automated peritoneal dialysis: a three-case report

Abstract Background Remote patient monitoring (RPM) is being increasingly used in automated peritoneal dialysis (APD). However, most studies have focused on summary parameters such as ultrafiltration volume and treatment completion, and the clinical utility of cycle waveform interpretation remains underexplored. Case presentation We report three APD cases in which RPM-enabled cycle waveform monitoring guided clinical decision-making. In case 1, prolonged drainage and infusion suggested mechanical obstruction, later confirmed as Fallopian tube entrapment. In case 2, repeated drainage delays indicated catheter malposition. In case 3, shortened treatment duration reflected intentional early discontinuation. In all cases, targeted surgical or behavioral interventions resulted in immediate waveform normalization. The present case series provided the following key insights: (1) cycle profiles serve not only as a diagnostic tool but also as sensitive, real-time indicators of dysfunction and recovery, and (2) RPM supports not only technical troubleshooting but also behavioral modification. These observations suggest that cycle waveform interpretation may be a useful time-resolved indicator of treatment abnormalities and response. Conclusions RPM-derived waveform interpretation is a practical, actionable tool for troubleshooting APD and optimizing patient care.

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Publication Details

Journal
Renal Replacement Therapy
Published
2026-03-29
DOI
https://doi.org/10.1186/s41100-026-00712-4
Primary Topic
Dialysis and Renal Disease Management
Type
article
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article

Clinical utility of remote monitoring-derived cycle waveform interpretation for troubleshooting automated peritoneal dialysis: a three-case report

Moeri Yamagiwa, Masato Habuka, Shin Yamamoto, Masataka Yonezawa et al.
Renal Replacement Therapy
Dialysis and Renal Disease Management
article

Clinical utility of remote monitoring-derived cycle waveform interpretation for troubleshooting automated peritoneal dialysis: a three-case report

Moeri Yamagiwa, Masato Habuka, Shin Yamamoto, Masataka Yonezawa, Asa Ogawa, Eisuke Okazaki, Akinori Endo, Ryota Hoshi, Sahoko Otsuka
article en

Abstract

Abstract Background Remote patient monitoring (RPM) is being increasingly used in automated peritoneal dialysis (APD). However, most studies have focused on summary parameters such as ultrafiltration volume and treatment completion, and the clinical utility of cycle waveform interpretation remains underexplored. Case presentation We report three APD cases in which RPM-enabled cycle waveform monitoring guided clinical decision-making. In case 1, prolonged drainage and infusion suggested mechanical obstruction, later confirmed as Fallopian tube entrapment. In case 2, repeated drainage delays indicated catheter malposition. In case 3, shortened treatment duration reflected intentional early discontinuation. In all cases, targeted surgical or behavioral interventions resulted in immediate waveform normalization. The present case series provided the following key insights: (1) cycle profiles serve not only as a diagnostic tool but also as sensitive, real-time indicators of dysfunction and recovery, and (2) RPM supports not only technical troubleshooting but also behavioral modification. These observations suggest that cycle waveform interpretation may be a useful time-resolved indicator of treatment abnormalities and response. Conclusions RPM-derived waveform interpretation is a practical, actionable tool for troubleshooting APD and optimizing patient care.

Renal Replacement TherapyVol. 12(1)
Niigata Prefectural Shibata Hospital (JP), Niigata University (JP)
Peace, Justice and strong institutions
Openalex Percentile: Top 3%
Dialysis and Renal Disease Management
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