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Efficacy of remote dielectric sensing (ReDS) in the prevention of heart failure rehospitalizations: a meta-analysis

The clinical efficacy of remote dielectric sensing (ReDS) monitoring is not well known. Digital databases were searched to identify relevant articles. Pooled unadjusted odds ratio (OR) for dichotomous outcomes were calculated using a random-effects model. Findings were reported as a point estimate w...

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Autores principales: Sattar, Yasar, Zghouzi, Mohamed, Suleiman, Abdul-Rahman M., Sheikh, Amaan, Kupferman, Judah, Sarfraz, Azza, Arshad, Junaid, Mir, Tanveer, Ullah, Waqas, Pacha, Homam Moussa, Thakkar, Samarthkumar, Elgendy, Islam Y, Alraies, M Chadi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Taylor & Francis 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8462919/
https://www.ncbi.nlm.nih.gov/pubmed/34567456
http://dx.doi.org/10.1080/20009666.2021.1955451
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author Sattar, Yasar
Zghouzi, Mohamed
Suleiman, Abdul-Rahman M.
Sheikh, Amaan
Kupferman, Judah
Sarfraz, Azza
Arshad, Junaid
Mir, Tanveer
Ullah, Waqas
Pacha, Homam Moussa
Thakkar, Samarthkumar
Elgendy, Islam Y
Alraies, M Chadi
author_facet Sattar, Yasar
Zghouzi, Mohamed
Suleiman, Abdul-Rahman M.
Sheikh, Amaan
Kupferman, Judah
Sarfraz, Azza
Arshad, Junaid
Mir, Tanveer
Ullah, Waqas
Pacha, Homam Moussa
Thakkar, Samarthkumar
Elgendy, Islam Y
Alraies, M Chadi
author_sort Sattar, Yasar
collection PubMed
description The clinical efficacy of remote dielectric sensing (ReDS) monitoring is not well known. Digital databases were searched to identify relevant articles. Pooled unadjusted odds ratio (OR) for dichotomous outcomes were calculated using a random-effects model. Findings were reported as a point estimate with its 95% confidence interval (CI). A total of 985 patients across seven studies were included in the meta-analysis. Patients with heart failure monitored with ReDS had significantly lower odds of hospital readmission compared with non-ReDS patients (OR = 0.40; 95% CI 0.29–0.56; z = 5.43 p = 0.000, I2 = 0%). Subgroup analysis based on the duration of follow-up showed a lower odd of readmission within 30 days (OR = 0.36; 95% CI 0.18–0.71; z = 2.93; p = 0.003; I2 5.7%), as well as between 1 and 3 months (OR = 0.42; 95% CI 0.29–0.61; z = 4.54; p = 0.000; I2 = 0.0%). ReDS effect of lower readmissions of HF was observed irrespective of the duration of follow-up (<1-month vs 1–3 months). ReDS monitoring significantly lowers the odds of HF readmission within 3 months compared to participants not using ReDS.
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spelling pubmed-84629192021-09-25 Efficacy of remote dielectric sensing (ReDS) in the prevention of heart failure rehospitalizations: a meta-analysis Sattar, Yasar Zghouzi, Mohamed Suleiman, Abdul-Rahman M. Sheikh, Amaan Kupferman, Judah Sarfraz, Azza Arshad, Junaid Mir, Tanveer Ullah, Waqas Pacha, Homam Moussa Thakkar, Samarthkumar Elgendy, Islam Y Alraies, M Chadi J Community Hosp Intern Med Perspect Research Article The clinical efficacy of remote dielectric sensing (ReDS) monitoring is not well known. Digital databases were searched to identify relevant articles. Pooled unadjusted odds ratio (OR) for dichotomous outcomes were calculated using a random-effects model. Findings were reported as a point estimate with its 95% confidence interval (CI). A total of 985 patients across seven studies were included in the meta-analysis. Patients with heart failure monitored with ReDS had significantly lower odds of hospital readmission compared with non-ReDS patients (OR = 0.40; 95% CI 0.29–0.56; z = 5.43 p = 0.000, I2 = 0%). Subgroup analysis based on the duration of follow-up showed a lower odd of readmission within 30 days (OR = 0.36; 95% CI 0.18–0.71; z = 2.93; p = 0.003; I2 5.7%), as well as between 1 and 3 months (OR = 0.42; 95% CI 0.29–0.61; z = 4.54; p = 0.000; I2 = 0.0%). ReDS effect of lower readmissions of HF was observed irrespective of the duration of follow-up (<1-month vs 1–3 months). ReDS monitoring significantly lowers the odds of HF readmission within 3 months compared to participants not using ReDS. Taylor & Francis 2021-09-20 /pmc/articles/PMC8462919/ /pubmed/34567456 http://dx.doi.org/10.1080/20009666.2021.1955451 Text en © 2021 The Author(s). Published by Informa UK Limited, trading as Taylor & Francis Group on behalf of Greater Baltimore Medical Center. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) ), which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Article
Sattar, Yasar
Zghouzi, Mohamed
Suleiman, Abdul-Rahman M.
Sheikh, Amaan
Kupferman, Judah
Sarfraz, Azza
Arshad, Junaid
Mir, Tanveer
Ullah, Waqas
Pacha, Homam Moussa
Thakkar, Samarthkumar
Elgendy, Islam Y
Alraies, M Chadi
Efficacy of remote dielectric sensing (ReDS) in the prevention of heart failure rehospitalizations: a meta-analysis
title Efficacy of remote dielectric sensing (ReDS) in the prevention of heart failure rehospitalizations: a meta-analysis
title_full Efficacy of remote dielectric sensing (ReDS) in the prevention of heart failure rehospitalizations: a meta-analysis
title_fullStr Efficacy of remote dielectric sensing (ReDS) in the prevention of heart failure rehospitalizations: a meta-analysis
title_full_unstemmed Efficacy of remote dielectric sensing (ReDS) in the prevention of heart failure rehospitalizations: a meta-analysis
title_short Efficacy of remote dielectric sensing (ReDS) in the prevention of heart failure rehospitalizations: a meta-analysis
title_sort efficacy of remote dielectric sensing (reds) in the prevention of heart failure rehospitalizations: a meta-analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8462919/
https://www.ncbi.nlm.nih.gov/pubmed/34567456
http://dx.doi.org/10.1080/20009666.2021.1955451
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