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

  • Hospital Universitario San Ignacio
  • Universidad Javeriana
  • Universidad EAN

Research output: Contribution to journalArticlepeer-review

26 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)243-247
Number of pages5
JournalDiabetes and Metabolic Syndrome: Clinical Research and Reviews
Volume15
Issue number1
DOIs
StatePublished - 01 Jan 2021

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Automated insulin delivery system (AID)
  • Hybrid closed loop (HCL)
  • Sensor-augmented pump therapy (SAPT)
  • Time in range
  • Type 1 diabetes

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