COVID-19 Pandemic Lockdown Effect in Adolescents and Young Adults With Type 1 Diabetes: Positive Results of an Unpreceded Challenge for Telemedicine and Patient Self-management

Observational Study of Glycemic Control and Self-management of Young People (Aged 13 to 25 Years ) With Type 1 Diabetes During COVID-19 Lockdown.

Lockdown resulting from the COVID-19 pandemic was an unpreceded model of the impact of lifestyle on chronic diseases, especially for adolescents and young adults with type 1 diabetes (T1D) whose lifestyle is known to strongly impact disease management. The investigators aimed to assess changes in self-monitoring and glycemic control in this population before, during, and after the two-month French lockdown. Te investigators hypothesized an improvement in glucose control and glucose sensor usage.

The protocol will include all patients with T1D from 13 to 25 years old using a flash glucose monitoring related to the LibreView cloud platform.

The primary outcome, evolution of percentage of glucose time in range 70-180 mg/dL (TIR), and secondary outcomes (glucose management indicator GMI, time spent below range TBR, and sensor usage) will be analyzed with a linear mixed-effects regression model.

Continuous glucose monitoring (CGM) data will be collected from the cloud-based platform, LibreView.

Data will be collected for patients from Sud-Francilien hospital (Corbeil-Essonnes, France) and Kremlin-Bicêtre hospital (Kremlin-Bicêtre, France). Data related to glucose control and sensor usage will be collected from the Libreview platform. Data related to patients' characteristics, treatment and telemedicine visits (number of contacts with health professionals) will be collected from the medical record and confirmed with telephone-administered questionnaire.

The lockdown imposed by the French government occurred from March 17 to May 10, 2020. Therefore, outcomes will be assessed 4 times: the month before lockdown, during the first month, the second month of lockdown, and one month after lockdown ended.

Potential confounding factors will be studied: age, gender, type of insulin delivery (multiple daily injections, MDI; insulin pump), contacts with health professionals (physician or nurse).

Descriptive statistics will include means with standard deviations, numbers of patients and percentages.

Outcomes will be analysed with a linear mixed-effects regression model. Analyses will be performed with R studio version 3.5.0.

Inclusion Criteria:

• Type 1 diabetes
• Age between 13 and 25 years
• use of a flash glucose monitoring related to the LibreView cloud platform
• patients follow-up by the diabetes department of Hopital Sud Francilien or the diabetes department of Hôpital Bicêtre.
• patient informed of the study and not having objected to it.

Exclusion Criteria:

• patients out of France during lockdown
• other type of diabetes
• Duration of diabetes of less than one year
• patient aged under 13 years or above 26 years old