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Comparison of the effects of lockdown due to COVID-19 on glucose patterns among children, adolescents, and adults with type 1 diabetes: CGM study

INTRODUCTION: The COVID-19 pandemic forced the Italian government to issue extremely restrictive measures on daily activities since 11 March 2020 (‘lockdown’), which may have influenced the metabolic control of type 1 diabetes mellitus (T1D). The aims of the study were to investigate continuous gluc...

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Autores principales: Di Dalmazi, Guido, Maltoni, Giulio, Bongiorno, Claudio, Tucci, Lorenzo, Di Natale, Valeria, Moscatiello, Simona, Laffi, Gilberto, Pession, Andrea, Zucchini, Stefano, Pagotto, Uberto
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7594202/
https://www.ncbi.nlm.nih.gov/pubmed/33115820
http://dx.doi.org/10.1136/bmjdrc-2020-001664
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author Di Dalmazi, Guido
Maltoni, Giulio
Bongiorno, Claudio
Tucci, Lorenzo
Di Natale, Valeria
Moscatiello, Simona
Laffi, Gilberto
Pession, Andrea
Zucchini, Stefano
Pagotto, Uberto
author_facet Di Dalmazi, Guido
Maltoni, Giulio
Bongiorno, Claudio
Tucci, Lorenzo
Di Natale, Valeria
Moscatiello, Simona
Laffi, Gilberto
Pession, Andrea
Zucchini, Stefano
Pagotto, Uberto
author_sort Di Dalmazi, Guido
collection PubMed
description INTRODUCTION: The COVID-19 pandemic forced the Italian government to issue extremely restrictive measures on daily activities since 11 March 2020 (‘lockdown’), which may have influenced the metabolic control of type 1 diabetes mellitus (T1D). The aims of the study were to investigate continuous glucose monitoring (CGM) metrics in children and adults with T1D during lockdown and to identify their potentially related factors. RESEARCH DESIGN AND METHODS: We enrolled 130 consecutive patients with T1D (30 children (≤12 years), 24 teenagers (13–17 years), and 76 adults (≥18 years)) using either Dexcom or FreeStyle LibreCGM>70% during the study period, without hybrid closed-loop insulin pump. CGM metrics during the 20 days before and the 20 days after lockdown were calculated. By telephonic contact, we performed validated physical activity and perceived stress questionnaires. RESULTS: In children, significantly lower glucose SD (SDglu) (p=0.029) and time below range (TBR)<54 mg/dL (TBR2) (p=0.029) were detected after lockdown. CGM metrics were comparable in teenagers before and during lockdown. After lockdown, adults improved significantly time in range (TIR) 70–180 mg/dL (p<0.001) and remaining metrics, except percent coefficient of variation and TBR2. In adults, considering the changes in SDglu and TIR occurred before and during lockdown, we identified a group with improved TIR and SDglu who performed more physical activity, one with improved glucose variability who was younger than the other patients, and one with worsened glucose variability who showed higher perceived stress than others. CONCLUSION: In patients with T1D during lockdown, CGM metrics mostly improved in children and adults, whereas it was unchanged in teenagers. In adults, age, physical activity, and perceived stress may be relevant contributing factors.
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spelling pubmed-75942022020-11-10 Comparison of the effects of lockdown due to COVID-19 on glucose patterns among children, adolescents, and adults with type 1 diabetes: CGM study Di Dalmazi, Guido Maltoni, Giulio Bongiorno, Claudio Tucci, Lorenzo Di Natale, Valeria Moscatiello, Simona Laffi, Gilberto Pession, Andrea Zucchini, Stefano Pagotto, Uberto BMJ Open Diabetes Res Care Emerging Technologies, Pharmacology and Therapeutics INTRODUCTION: The COVID-19 pandemic forced the Italian government to issue extremely restrictive measures on daily activities since 11 March 2020 (‘lockdown’), which may have influenced the metabolic control of type 1 diabetes mellitus (T1D). The aims of the study were to investigate continuous glucose monitoring (CGM) metrics in children and adults with T1D during lockdown and to identify their potentially related factors. RESEARCH DESIGN AND METHODS: We enrolled 130 consecutive patients with T1D (30 children (≤12 years), 24 teenagers (13–17 years), and 76 adults (≥18 years)) using either Dexcom or FreeStyle LibreCGM>70% during the study period, without hybrid closed-loop insulin pump. CGM metrics during the 20 days before and the 20 days after lockdown were calculated. By telephonic contact, we performed validated physical activity and perceived stress questionnaires. RESULTS: In children, significantly lower glucose SD (SDglu) (p=0.029) and time below range (TBR)<54 mg/dL (TBR2) (p=0.029) were detected after lockdown. CGM metrics were comparable in teenagers before and during lockdown. After lockdown, adults improved significantly time in range (TIR) 70–180 mg/dL (p<0.001) and remaining metrics, except percent coefficient of variation and TBR2. In adults, considering the changes in SDglu and TIR occurred before and during lockdown, we identified a group with improved TIR and SDglu who performed more physical activity, one with improved glucose variability who was younger than the other patients, and one with worsened glucose variability who showed higher perceived stress than others. CONCLUSION: In patients with T1D during lockdown, CGM metrics mostly improved in children and adults, whereas it was unchanged in teenagers. In adults, age, physical activity, and perceived stress may be relevant contributing factors. BMJ Publishing Group 2020-10-28 /pmc/articles/PMC7594202/ /pubmed/33115820 http://dx.doi.org/10.1136/bmjdrc-2020-001664 Text en © Author(s) (or their employer(s)) 2020. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. http://creativecommons.org/licenses/by-nc/4.0/ http://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.
spellingShingle Emerging Technologies, Pharmacology and Therapeutics
Di Dalmazi, Guido
Maltoni, Giulio
Bongiorno, Claudio
Tucci, Lorenzo
Di Natale, Valeria
Moscatiello, Simona
Laffi, Gilberto
Pession, Andrea
Zucchini, Stefano
Pagotto, Uberto
Comparison of the effects of lockdown due to COVID-19 on glucose patterns among children, adolescents, and adults with type 1 diabetes: CGM study
title Comparison of the effects of lockdown due to COVID-19 on glucose patterns among children, adolescents, and adults with type 1 diabetes: CGM study
title_full Comparison of the effects of lockdown due to COVID-19 on glucose patterns among children, adolescents, and adults with type 1 diabetes: CGM study
title_fullStr Comparison of the effects of lockdown due to COVID-19 on glucose patterns among children, adolescents, and adults with type 1 diabetes: CGM study
title_full_unstemmed Comparison of the effects of lockdown due to COVID-19 on glucose patterns among children, adolescents, and adults with type 1 diabetes: CGM study
title_short Comparison of the effects of lockdown due to COVID-19 on glucose patterns among children, adolescents, and adults with type 1 diabetes: CGM study
title_sort comparison of the effects of lockdown due to covid-19 on glucose patterns among children, adolescents, and adults with type 1 diabetes: cgm study
topic Emerging Technologies, Pharmacology and Therapeutics
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7594202/
https://www.ncbi.nlm.nih.gov/pubmed/33115820
http://dx.doi.org/10.1136/bmjdrc-2020-001664
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