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Virtual training on the hybrid close loop system in people with type 1 diabetes (T1D) during the COVID-19 pandemic

BACKGROUND AND AIMS: In Colombia, the government established mandatory isolation after the first case of COVID-19 was reported. As a diabetes care center specialized in technology, we developed a virtual training program for patients with type 1 diabetes (T1D) who were upgrading to hybrid closed loo...

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Autores principales: Gómez, Ana M., Henao, Diana, Parra, Darío, Kerguelen, Alfonso, Pinilla, Marisol Vergara, Muñoz, Oscar Mauricio, Rondón, Martin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Published by Elsevier Ltd on behalf of Diabetes India. 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7785279/
https://www.ncbi.nlm.nih.gov/pubmed/33450533
http://dx.doi.org/10.1016/j.dsx.2020.12.041
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author Gómez, Ana M.
Henao, Diana
Parra, Darío
Kerguelen, Alfonso
Pinilla, Marisol Vergara
Muñoz, Oscar Mauricio
Rondón, Martin
author_facet Gómez, Ana M.
Henao, Diana
Parra, Darío
Kerguelen, Alfonso
Pinilla, Marisol Vergara
Muñoz, Oscar Mauricio
Rondón, Martin
author_sort Gómez, Ana M.
collection PubMed
description BACKGROUND AND AIMS: In Colombia, the government established mandatory isolation after the first case of COVID-19 was reported. As a diabetes care center specialized in technology, we developed a virtual training program for patients with type 1 diabetes (T1D) who were upgrading to hybrid closed loop (HCL) system. The aim of this study is to describe the efficacy and safety outcomes of the virtual training program. METHOD: ology: A prospective observational cohort study was performed, including patients with diagnosis of T1D previously treated with multiple doses of insulin (MDI) or sensor augmented pump therapy (SAP) who were updating to HCL system, from March to July 2020. Virtual training and follow-up were done through the Zoom video conferencing application and Medtronic Carelink System version 3.1 software. CGM data were analyzed to compare the time in range (TIR), time below range (TBR) and glycemic variability, during the first two weeks corresponding to manual mode with the final two weeks of follow-up in automatic mode. RESULTS: 91 patients were included. Mean TIR achieved with manual mode was 77.3 ± 11.3, increasing to 81.6% ± 7.6 (p < 0.001) after two weeks of auto mode use. A significant reduction in TBR <70 mg/dL (2,7% ± 2,28 vs 1,83% ± 1,67, p < 0,001) and in glycemic variability (% coefficient of variation 32.4 vs 29.7, p < 0.001) was evident, independently of baseline therapy. CONCLUSION: HCL systems allows T1D patients to improve TIR, TBR and glycemic variability independently of previous treatment. Virtual training can be used during situations that limit the access of patients to follow-up centers.
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spelling pubmed-77852792021-01-06 Virtual training on the hybrid close loop system in people with type 1 diabetes (T1D) during the COVID-19 pandemic Gómez, Ana M. Henao, Diana Parra, Darío Kerguelen, Alfonso Pinilla, Marisol Vergara Muñoz, Oscar Mauricio Rondón, Martin Diabetes Metab Syndr Article BACKGROUND AND AIMS: In Colombia, the government established mandatory isolation after the first case of COVID-19 was reported. As a diabetes care center specialized in technology, we developed a virtual training program for patients with type 1 diabetes (T1D) who were upgrading to hybrid closed loop (HCL) system. The aim of this study is to describe the efficacy and safety outcomes of the virtual training program. METHOD: ology: A prospective observational cohort study was performed, including patients with diagnosis of T1D previously treated with multiple doses of insulin (MDI) or sensor augmented pump therapy (SAP) who were updating to HCL system, from March to July 2020. Virtual training and follow-up were done through the Zoom video conferencing application and Medtronic Carelink System version 3.1 software. CGM data were analyzed to compare the time in range (TIR), time below range (TBR) and glycemic variability, during the first two weeks corresponding to manual mode with the final two weeks of follow-up in automatic mode. RESULTS: 91 patients were included. Mean TIR achieved with manual mode was 77.3 ± 11.3, increasing to 81.6% ± 7.6 (p < 0.001) after two weeks of auto mode use. A significant reduction in TBR <70 mg/dL (2,7% ± 2,28 vs 1,83% ± 1,67, p < 0,001) and in glycemic variability (% coefficient of variation 32.4 vs 29.7, p < 0.001) was evident, independently of baseline therapy. CONCLUSION: HCL systems allows T1D patients to improve TIR, TBR and glycemic variability independently of previous treatment. Virtual training can be used during situations that limit the access of patients to follow-up centers. Published by Elsevier Ltd on behalf of Diabetes India. 2021 2021-01-05 /pmc/articles/PMC7785279/ /pubmed/33450533 http://dx.doi.org/10.1016/j.dsx.2020.12.041 Text en © 2020 Published by Elsevier Ltd on behalf of Diabetes India. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Gómez, Ana M.
Henao, Diana
Parra, Darío
Kerguelen, Alfonso
Pinilla, Marisol Vergara
Muñoz, Oscar Mauricio
Rondón, Martin
Virtual training on the hybrid close loop system in people with type 1 diabetes (T1D) during the COVID-19 pandemic
title Virtual training on the hybrid close loop system in people with type 1 diabetes (T1D) during the COVID-19 pandemic
title_full Virtual training on the hybrid close loop system in people with type 1 diabetes (T1D) during the COVID-19 pandemic
title_fullStr Virtual training on the hybrid close loop system in people with type 1 diabetes (T1D) during the COVID-19 pandemic
title_full_unstemmed Virtual training on the hybrid close loop system in people with type 1 diabetes (T1D) during the COVID-19 pandemic
title_short Virtual training on the hybrid close loop system in people with type 1 diabetes (T1D) during the COVID-19 pandemic
title_sort virtual training on the hybrid close loop system in people with type 1 diabetes (t1d) during the covid-19 pandemic
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7785279/
https://www.ncbi.nlm.nih.gov/pubmed/33450533
http://dx.doi.org/10.1016/j.dsx.2020.12.041
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