130 Remote Patient Monitoring (RPM) and Longevity on Peritoneal Dialysis (PD): An Analysis Controlling for Confounding by PD Start Year

2019 ◽  
Vol 73 (5) ◽  
pp. 675-676
Keyword(s):  
Peritoneal Dialysis ◽  
Patient Monitoring ◽  
Remote Patient Monitoring ◽  
Remote Patient

scholarly journals Remote patient monitoring in peritoneal dialysis helps reduce risk of hospitalization during Covid-19 pandemic

2020 ◽  
Vol 33 (6) ◽  
pp. 1123-1124
Author(s):  
Roberto Scarpioni ◽  
Alessandra Manini ◽  
Paola Chiappini
Keyword(s):  
Peritoneal Dialysis ◽  
Patient Monitoring ◽  
Remote Patient Monitoring ◽  
Reduce Risk ◽  
Remote Patient

scholarly journals Through the Storm: Automated Peritoneal Dialysis with Remote Patient Monitoring during COVID-19 Pandemic

2020 ◽  
pp. 1-4
Author(s):  
Alfonso Bunch ◽  
Freddy Ardila ◽  
Ricardo Castaño ◽  
Sylvia Quiñonez ◽  
Leyder Corzo
Keyword(s):  
Peritoneal Dialysis ◽  
Patient Monitoring ◽  
Remote Patient Monitoring ◽  
Automated Peritoneal Dialysis ◽  
Remote Patient

Remote Patient Monitoring Program in Automated Peritoneal Dialysis: Impact on Hospitalizations

2019 ◽  
Vol 39 (5) ◽  
pp. 472-478 ◽  
Author(s):  
Mauricio Sanabria ◽  
Giancarlo Buitrago ◽  
Bengt Lindholm ◽  
Jasmin Vesga ◽  
Lars-Göran Nilsson ◽  
...  
Keyword(s):  
Peritoneal Dialysis ◽  
Propensity Score ◽  
Propensity Score Matching ◽  
Patient Monitoring ◽  
Negative Impact ◽  
Monitoring Program ◽  
Remote Patient Monitoring ◽  
Automated Peritoneal Dialysis ◽  
Remote Patient ◽  
Hospital Days

Background Automated peritoneal dialysis (APD) is a growing PD modality but as with other home dialysis methods, the lack of monitoring of patients’ adherence to prescriptions is a limitation with potential negative impact on clinical outcome parameters. Remote patient monitoring (RPM) allowing the clinical team to have access to dialysis data and adjust the treatment may overcome this limitation. The present study sought to determine clinical outcomes associated with RPM use in incident patients on APD therapy. Methods A retrospective cohort study included 360 patients with a mean age of 57 years (diabetes 42.5%) initiating APD between 1 October 2016 and 30 June 2017 in 28 Baxter Renal Care Services (BRCS) units in Colombia. An RPM program was used in 65 (18%) of the patients (APD-RPM cohort), and 295 (82%) were treated with APD without RPM. Hospitalizations and hospital days were recorded over 1 year. Propensity score matching 1:1, yielding 63 individuals in each group, was used to evaluate the association of RPM exposure with numbers of hospitalizations and hospital days. Results After propensity score matching, APD therapy with RPM ( n = 63) compared with APD-without RPM ( n = 63) was associated with significant reductions in hospitalization rate (0.36 fewer hospitalizations per patient-year; incidence rate ratio [IRR] of 0.61 [95% confidence interval (CI) 0.39 – 0.95]; p = 0.029) and hospitalization days (6.57 fewer days per patient-year; IRR 0.46 [95% CI 0.23 – 0.92]; p = 0.028). Conclusions The use of RPM in APD patients is associated with lower hospitalization rates and fewer hospitalization days; RPM could constitute a tool for improvement of APD therapy.

scholarly journals Water Removal Cycle-By-Cycle During Automated Peritoneal Dialysis: Assessment by Remote Patient Monitoring and Modelling of Peritoneal Tissue Hydration

2021 ◽  
Author(s):  
Joanna Stachowska-Pietka ◽  
Beata Naumnik ◽  
Ewa Suchowierska ◽  
Rafael Gomez ◽  
Jacek Waniewski ◽  
...  
Keyword(s):  
Peritoneal Dialysis ◽  
Patient Monitoring ◽  
Water Removal ◽  
Remote Patient Monitoring ◽  
Automated Peritoneal Dialysis ◽  
Fluid Exchange ◽  
Tissue Hydration ◽  
Peritoneal Tissue ◽  
Remote Patient ◽  
The Impact

Abstract Water removal which is a key treatment goal of automated peritoneal dialysis (APD) can be assessed cycle-by-cycle using remote patient monitoring (RPM). We analysed ultrafiltration patterns during night APD following a dry day (APDDD; no daytime fluid exchange) or wet day (APDWD; daytime exchange). Ultrafiltration for each APD exchange were recorded for 16 days using RPM in 14 patients. The distributed model of fluid and solute transport was applied to simulate APD and to explore the impact of changes in peritoneal tissue hydration on ultrafiltration. We found lower ultrafiltration (mL, median [first quartile-third quartile]) during first and second vs. consecutive exchanges in APDDD (-61 [-148—27], 170 [78—228] vs. 213 [126—275] mL; p<0.001), but not in APDWD (81 [-8—176], 81 [-4—192] and 115 [4—219] mL; NS). Simulations in a virtual patient showed that lower ultrafiltration (by 114 mL) was related to increased peritoneal tissue hydration caused by inflow of 187 mL of water during the first APDDD exchange. The observed phenomenon of lower ultrafiltration during initial exchanges of dialysis fluid in patients undergoing APDDD appears to be due to water inflow into the peritoneal tissue, re-establishing a state of increased hydration typical for peritoneal dialysis.

Outcomes of Remote Patient Monitoring for Automated Peritoneal Dialysis: A Randomized Controlled Trial

Nephron ◽  
2021 ◽  
pp. 1-9
Author(s):  
Hee-Yeon Jung ◽  
Yena Jeon ◽  
Yon Su Kim ◽  
Dong Ki Kim ◽  
Jung Pyo Lee ◽  
...  
Keyword(s):  
Randomized Controlled Trial ◽  
Peritoneal Dialysis ◽  
Kidney Disease ◽  
Patient Monitoring ◽  
Controlled Trial ◽  
Staff Satisfaction ◽  
Remote Patient Monitoring ◽  
Automated Peritoneal Dialysis ◽  
Randomized Controlled ◽  
Remote Patient

<b><i>Introduction:</i></b> We hypothesize that remote patient monitoring (RPM) for automated peritoneal dialysis (APD) and feedback could enhance patient self-management and improve outcomes. The aim of this study was to evaluate the efficacy of RPM-APD compared to traditional APD (T-APD) without RPM. <b><i>Methods:</i></b> In this multicenter, randomized controlled trial, patients on APD were randomized to T-APD (<i>n</i> = 29) or RPM-APD (<i>n</i> = 28) at 12 weeks and followed until 25 weeks. Health-related quality of life (HRQOL), patient and medical staff satisfaction with RPM-APD, and dialysis-related outcomes were compared between the 2 groups. <b><i>Results:</i></b> We found no significant differences in HRQOL scores at the time of enrollment and randomization between RPM-APD and T-APD. At the end of the study, the RPM-APD group showed better HRQOL for the sleep domain (<i>p</i> = 0.049) than the T-APD group and the T-APD group showed better HRQOL for the sexual function domain (<i>p</i> = 0.030) than the RPM-APD group. However, we found no significant interactions between the time and groups in terms of HRQOL. Different HRQOL domains significantly improved over time in patients undergoing RPM-APD (effects of kidney disease, <i>p</i> = 0.025) and T-APD (burden of kidney disease, <i>p</i> = 0.029; physical component summary, <i>p</i> = 0.048). Though medical staff satisfaction with RPM-APD was neutral, most patients were quite satisfied with RPM-APD (median score 82; possible total score 105 on 21 5-item scales) and the rating scores were maintained during the study period. We found no significant differences in dialysis adherence, accuracy, adequacy, overhydration status, blood pressure, or the number of unplanned visits between the 2 groups. <b><i>Discussion/Conclusion:</i></b> Although HRQOL and dialysis-related outcomes were comparable between RPM-APD and T-APD, RPM-APD was positive in terms of patient satisfaction. Further long-term and large-scale studies will be required to determine the efficacy of RPM-APD. <b><i>Trial Registration:</i></b> CRIS identifier: KCT0003390, registered on December 14, 2018 – retrospectively registered, https://cris.nih.go.kr/cris/search/search_result_st01.jsp?seq=12348.

Technique failure in remote patient monitoring program in patients undergoing automated peritoneal dialysis: A retrospective cohort study

2020 ◽  
pp. 089686082098222
Author(s):  
Leyder Corzo ◽  
Martin Wilkie ◽  
Jasmin I Vesga ◽  
Bengt Lindholm ◽  
Giancarlo Buitrago ◽  
...  
Keyword(s):  
Cohort Study ◽  
Peritoneal Dialysis ◽  
Failure Rate ◽  
Patient Monitoring ◽  
Monitoring Program ◽  
P Value ◽  
Remote Patient Monitoring ◽  
Automated Peritoneal Dialysis ◽  
Remote Patient ◽  
Technique Failure

Background: Remote patient monitoring (RPM) programs in automated peritoneal dialysis (APD) allow clinical teams to be aware of many aspects and events of the therapy that occur in the home. The present study evaluated the association between RPM use and APD technique failure. Methods: A retrospective, multicentre, observational cohort study of 558 prevalent adult APD patients included between 1 October 2016 and 30 June 2017 with follow-up until 30 June 2018 at Renal Therapy Services network in Colombia. Patients were divided into two cohorts based on the RPM use: APD-RPM ( n = 148) and APD-without RPM ( n = 410). Sociodemographic and clinical characteristics of all patients were summarized descriptively. A propensity score was used to create a pseudo-population in which the baseline covariates were well balanced. The association of RPM with technique failure was estimated adjusting for the competing events death and kidney transplant. Results: Five hundred fifty-eight patients were analyzed. 26.5% had APD-RPM. In the matched sample comprising 148 APD-RPM and 148 APD-without RPM patients, we observed a lower technique failure rate of 0.08 [0.05–0.15] episodes per patient-year in APD-RPM versus 0.18 [0.12–0.26] in APD-without RPM cohort; incidence rate ratio = 0.45 95% confidence interval: [0.22–0.91], p-value = 0.03. Conclusions: The use of an RPM program in APD patients may be associated with a lower technique failure rate. More extensive and interventional studies are needed to confirm its potential benefits and to measure other patient-centered outcomes.

scholarly journals FP489MEASURED ADVANTAGES OF REMOTE PATIENT MONITORING IN AUTOMATED PERITONEAL DIALYSIS

2018 ◽  
Vol 33 (suppl_1) ◽  
pp. i202-i202
Author(s):  
Gianpaolo Amici ◽  
Antonina Lo Cicero ◽  
Giuseppa Natale ◽  
Dino Romanini ◽  
Fabiana Presello ◽  
...  
Keyword(s):  
Peritoneal Dialysis ◽  
Patient Monitoring ◽  
Remote Patient Monitoring ◽  
Automated Peritoneal Dialysis ◽  
Remote Patient

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

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Joanna Stachowska-Pietka ◽  
Beata Naumnik ◽  
Ewa Suchowierska ◽  
Rafael Gomez ◽  
Jacek Waniewski ◽  
...  
Keyword(s):  
Peritoneal Dialysis ◽  
Patient Monitoring ◽  
Water Removal ◽  
Remote Patient Monitoring ◽  
Automated Peritoneal Dialysis ◽  
Fluid Exchange ◽  
Tissue Hydration ◽  
Peritoneal Tissue ◽  
Remote Patient ◽  
The Impact

AbstractWater removal which is a key treatment goal of automated peritoneal dialysis (APD) can be assessed cycle-by-cycle using remote patient monitoring (RPM). We analysed ultrafiltration patterns during night APD following a dry day (APDDD; no daytime fluid exchange) or wet day (APDWD; daytime exchange). Ultrafiltration for each APD exchange were recorded for 16 days using RPM in 14 patients. The distributed model of fluid and solute transport was applied to simulate APD and to explore the impact of changes in peritoneal tissue hydration on ultrafiltration. We found lower ultrafiltration (mL, median [first quartile, third quartile]) during first and second vs. consecutive exchanges in APDDD (−61 [−148, 27], 170 [78, 228] vs. 213 [126, 275] mL; p < 0.001), but not in APDWD (81 [−8, 176], 81 [−4, 192] vs. 115 [4, 219] mL; NS). Simulations in a virtual patient showed that lower ultrafiltration (by 114 mL) was related to increased peritoneal tissue hydration caused by inflow of 187 mL of water during the first APDDD exchange. The observed phenomenon of lower ultrafiltration during initial exchanges of dialysis fluid in patients undergoing APDDD appears to be due to water inflow into the peritoneal tissue, re-establishing a state of increased hydration typical for peritoneal dialysis.

Remote Patient Monitoring in Peritoneal Dialysis

2021 ◽  
pp. 315-321
Author(s):  
Claus Peter Schmitt ◽  
Daljit K. Hothi
Keyword(s):  
Peritoneal Dialysis ◽  
Patient Monitoring ◽  
Remote Patient Monitoring ◽  
Remote Patient
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