Type 1 diabetes: analysis of real-world insulin injection patternsShow others and affiliations
2020 (English)In: Diabetologia, ISSN 0012-186X, E-ISSN 1432-0428, Vol. 63, no Suppl. 1, p. S378-S378Article in journal, Meeting abstract (Other academic) Published
Abstract [en]
Background and aims: Multiple daily insulin injections are an integral part of life for patients with type 1 diabetes (T1D). Moreover, patients’ schedules can change from day-to-day, further complicating T1D management. This study aimed to analyze daily injection patterns for patients with T1D, thereby providing insights into patients’ behaviour.
Materials and methods: This post hoc observational study included children and adults with T1D from Sweden using NovoPen®6with bolus insulin (primarily insulin aspart) and/or basal insulin (primarily insulin degludec). Injection data were uploaded via the Glooko® cloud system. Daily bolus and basal injection timing profiles were documented, weighting each dose relative to the total daily dose. The time difference between two consecutive basal insulin injections was used to evaluate basal timing variation.
Results: Overall, 159 adults and 47 children were included in the analysis, with a total of 38678 days of bolus injections and 17869 days of basal injections. The mean bolus daily injection profile displayed peaks at typical mealtimes, but substantial variation was observed both across patients and between adults and children (Figure 1). In those receiving insulin degludec, the timing of consecutive basal injections differed by more than 6 hr in approximately 9% of the injections for adults and 7% of those for children.
Conclusion: These real-world data provide a unique insight into the everyday bolus and basal adherence of paediatric and adult patients with T1D. Furthermore, the results illustrate the flexibility needed for basal injections to enable optimal management of T1D.
Place, publisher, year, edition, pages
Springer, 2020. Vol. 63, no Suppl. 1, p. S378-S378
National Category
Endocrinology and Diabetes
Identifiers
URN: urn:nbn:se:oru:diva-85838ISI: 000565776600781OAI: oai:DiVA.org:oru-85838DiVA, id: diva2:1469654
Conference
56th Annual Meeting of the European-Association-for-the-Study-of-Diabetes (EASD 2020 Virtual), September 21-25, 2020
2020-09-222020-09-222020-09-22Bibliographically approved