Literature DB >> 34042523

Youth with Type 1 Diabetes Had Improvement in Continuous Glucose Monitoring Metrics During the COVID-19 Pandemic.

Fatema S Abdulhussein1, Hannah Chesser1, W John Boscardin2, Stephen E Gitelman1, Jenise C Wong1.   

Abstract

Background: The impact of the coronavirus disease-2019 (COVID-19) pandemic on glycemic metrics in children is uncertain. This study evaluates the effect of the shelter-in-place (SIP) mandate on glycemic metrics in youth with type 1 diabetes (T1D) using continuous glucose monitoring (CGM) in Northern California, United States.
Methods: CGM and insulin pump metrics in youth 3-21 years old with T1D at an academic pediatric diabetes center were analyzed retrospectively. Data 2-4 months before (distant pre-SIP), 1 month before (immediate pre-SIP), 1 month after (immediate post-SIP), and 2-4 months after (distant post-SIP) the SIP mandate were compared using paired t-tests, linear regression, and longitudinal analysis using a mixed effects model.
Results: Participants (n = 85) had reduced mean glucose (-10.3 ± 4.4 mg/dL, P = 0.009), standard deviation (SD) (-5.0 ± 1.3 mg/dL, P = 0.003), glucose management indicator (-0.2% ± 0.03%, P = 0.004), time above range (TAR) >250 mg/dL (-3.5% ± 1.7%, P = 0.01), and increased time in range (TIR) (+4.7% ± 1.7%, P = 0.0025) between the distant pre-SIP and distant post-SIP periods. Relationships were maintained using a mixed effects model, when controlling for other demographic variables. There was improvement in SD, TAR 180-250 mg/dL, and TIR for participants with private insurance, but changes in the opposite direction for participants with public insurance. Conclusions: Improvement in CGM metrics in youth with T1D during the COVID-19 pandemic suggests that diabetes management can be maintained in the face of sudden changes to daily living. Youth with public insurance deserve more attention in research and clinical practice.

Entities:  

Keywords:  COVID-19; Continuous glucose monitoring; Pediatrics; Time in range; Type 1 diabetes

Mesh:

Substances:

Year:  2021        PMID: 34042523      PMCID: PMC8573792          DOI: 10.1089/dia.2021.0131

Source DB:  PubMed          Journal:  Diabetes Technol Ther        ISSN: 1520-9156            Impact factor:   7.337


  17 in total

1.  Factors Related to Improvement of Glycemic Control Among Adults with Type 1 Diabetes During Lockdown Due to COVID-19.

Authors:  Óscar Moreno-Domínguez; Noemí González-Pérez de Villar; Beatriz Barquiel; Natalia Hillman-Gadea; Ruth Gaspar-Lafuente; Montserrat Arévalo-Gómez; Lucrecia Herranz
Journal:  Diabetes Technol Ther       Date:  2020-12-08       Impact factor: 6.118

2.  The impact of a prolonged lockdown and use of telemedicine on glycemic control in people with type 1 diabetes during the COVID-19 outbreak in Saudi Arabia.

Authors:  Sahar K Alharthi; Ebtihal Y Alyusuf; Abdullah M Alguwaihes; Assim Alfadda; Mohammed E Al-Sofiani
Journal:  Diabetes Res Clin Pract       Date:  2021-02-02       Impact factor: 5.602

3.  Racial and/or Ethnic and Socioeconomic Disparities of SARS-CoV-2 Infection Among Children.

Authors:  Monika K Goyal; Joelle N Simpson; Meleah D Boyle; Gia M Badolato; Meghan Delaney; Robert McCarter; Denice Cora-Bramble
Journal:  Pediatrics       Date:  2020-08-05       Impact factor: 7.124

Review 4.  Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range.

Authors:  Tadej Battelino; Thomas Danne; Richard M Bergenstal; Stephanie A Amiel; Roy Beck; Torben Biester; Emanuele Bosi; Bruce A Buckingham; William T Cefalu; Kelly L Close; Claudio Cobelli; Eyal Dassau; J Hans DeVries; Kim C Donaghue; Klemen Dovc; Francis J Doyle; Satish Garg; George Grunberger; Simon Heller; Lutz Heinemann; Irl B Hirsch; Roman Hovorka; Weiping Jia; Olga Kordonouri; Boris Kovatchev; Aaron Kowalski; Lori Laffel; Brian Levine; Alexander Mayorov; Chantal Mathieu; Helen R Murphy; Revital Nimri; Kirsten Nørgaard; Christopher G Parkin; Eric Renard; David Rodbard; Banshi Saboo; Desmond Schatz; Keaton Stoner; Tatsuiko Urakami; Stuart A Weinzimer; Moshe Phillip
Journal:  Diabetes Care       Date:  2019-06-08       Impact factor: 19.112

5.  Telehealth transformation: COVID-19 and the rise of virtual care.

Authors:  Jedrek Wosik; Marat Fudim; Blake Cameron; Ziad F Gellad; Alex Cho; Donna Phinney; Simon Curtis; Matthew Roman; Eric G Poon; Jeffrey Ferranti; Jason N Katz; James Tcheng
Journal:  J Am Med Inform Assoc       Date:  2020-06-01       Impact factor: 4.497

Review 6.  Pediatric Endocrinology in the Time of COVID-19: Considerations for the Rapid Implementation of Telemedicine and Management of Pediatric Endocrine Conditions.

Authors:  Molly O Regelmann; Rushika Conroy; Evgenia Gourgari; Anshu Gupta; Ines Guttmann-Bauman; Ryan Heksch; Manmohan K Kamboj; Sowmya Krishnan; Amit Lahoti; Kristal Matlock
Journal:  Horm Res Paediatr       Date:  2021-01-22       Impact factor: 2.852

7.  Glycemic Control Improvement in Italian Children and Adolescents With Type 1 Diabetes Followed Through Telemedicine During Lockdown Due to the COVID-19 Pandemic.

Authors:  Barbara Predieri; Francesco Leo; Francesco Candia; Laura Lucaccioni; Simona F Madeo; Marisa Pugliese; Valentina Vivaccia; Patrizia Bruzzi; Lorenzo Iughetti
Journal:  Front Endocrinol (Lausanne)       Date:  2020-12-07       Impact factor: 5.555

8.  Inequities in Diabetic Ketoacidosis Among Patients With Type 1 Diabetes and COVID-19: Data From 52 US Clinical Centers.

Authors:  Osagie Ebekozien; Shivani Agarwal; Nudrat Noor; Anastasia Albanese-O'Neill; Jenise C Wong; Tossaporn Seeherunvong; Janine Sanchez; Daniel DeSalvo; Sarah K Lyons; Shideh Majidi; Jamie R Wood; Runa Acharya; Grazia Aleppo; Kathryn M Sumpter; Anna Cymbaluk; Nirali A Shah; Michelle Van Name; Lisa Cruz-Aviles; Guy Todd Alonso; Mary Pat Gallagher; Srinath Sanda; Alexis Jamie Feuer; Kristina Cossen; Nicole Rioles; Nana-Hawa Yayah Jones; Manmohan K Kamboj; Irl B Hirsch
Journal:  J Clin Endocrinol Metab       Date:  2021-03-25       Impact factor: 5.958

9.  Glucose Management Indicator (GMI): A New Term for Estimating A1C From Continuous Glucose Monitoring.

Authors:  Richard M Bergenstal; Roy W Beck; Kelly L Close; George Grunberger; David B Sacks; Aaron Kowalski; Adam S Brown; Lutz Heinemann; Grazia Aleppo; Donna B Ryan; Tonya D Riddlesworth; William T Cefalu
Journal:  Diabetes Care       Date:  2018-09-17       Impact factor: 19.112

10.  Lessons learned from the continuous glucose monitoring metrics in pediatric patients with type 1 diabetes under COVID-19 lockdown.

Authors:  Avivit Brener; Kineret Mazor-Aronovitch; Marianna Rachmiel; Noa Levek; Galia Barash; Orit Pinhas-Hamiel; Yael Lebenthal; Zohar Landau
Journal:  Acta Diabetol       Date:  2020-10-07       Impact factor: 4.280

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