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Outcomes of Remote Patient Monitoring in Peritoneal Dialysis: A Meta-Analysis and Review of Practical Implications for COVID-19 Epidemics.
Ali, Hatem; Mohamed, Mahmoud M; Fülöp, Tibor; Hamer, Rizwan.
  • Ali H; From the University Hospitals of Coventry and Warwickshire, Renal, UK.
  • Mohamed MM; Department of Internal Medicine, North Mississippi Medical Center.
  • Fülöp T; Department of Medicine, Division of Nephrology, Medical University of South Carolina, Charleston, South Carolina.
  • Hamer R; Medical Services, Ralph H. Johnson VA Medical Center, Charleston, South Carolina.
ASAIO J ; 69(4): e142-e148, 2023 04 01.
Article in English | MEDLINE | ID: covidwho-2249008
ABSTRACT
The present study seeks to determine clinical outcomes associated with remote patient monitoring of peritoneal dialysis (RPM-PD), with potential implications during COVID-19 outbreaks. We performed a systematic review in the PubMed, Embase, and Cochrane databases. We combined all study-specific estimates using the inverse-variant weighted averages of logarithmic relative risk (RR) in the random-effects models. Confidence interval (CI) including the value of 1 was used as evidence to produce a statistically significant estimate. Twenty-two studies were included in our meta-analysis. Quantitative analysis demonstrated that RPM-PD patients had lower rates of technique failure (log RR = -0.32; 95% CI, -0.59 to -0.04), lower hospitalization rates (standardized mean difference = -0.84; 95% CI, -1.24 to -0.45), and lower mortality rates (log RR = -0.26; 95% CI, -0.44 to -0.08) compared with traditional PD monitoring. RPM-PD has better outcomes in multiple spheres of outcomes when compared with conventional monitoring and likely increases system resilience during disruptions of healthcare operations.
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Full text: Available Collection: International databases Database: MEDLINE Main subject: Peritoneal Dialysis / Epidemics / COVID-19 Type of study: Observational study / Prognostic study / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Topics: Variants Limits: Humans Language: English Journal: ASAIO J Journal subject: Transplantation Year: 2023 Document Type: Article Affiliation country: MAT.0000000000001891

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Peritoneal Dialysis / Epidemics / COVID-19 Type of study: Observational study / Prognostic study / Randomized controlled trials / Reviews / Systematic review/Meta Analysis Topics: Variants Limits: Humans Language: English Journal: ASAIO J Journal subject: Transplantation Year: 2023 Document Type: Article Affiliation country: MAT.0000000000001891