Abstract

Background and aims: Studies using claims databases reported that SARS-CoV-2 infection >30 days earlier increased the incidence of type 1 diabetes. Using exact dates of diabetes diagnosis from the national register in Scotland linked to virology laboratory data we sought to replicate this finding.

Materials and methods: A cohort of 1849411 individuals aged <35 years without diabetes, including all those in Scotland who subsequently tested positive for SARS-CoV-2, was followed from 1 March 2020-22 November 2021. Incident type 1 diabetes was ascertained from the national registry. Using Cox regression we tested the association of time-updated infection with incident diabetes. Trends in incidence of type 1 diabetes in the population from 2015-2021 were also estimated in a generalised additive model.

Results: There were 365080 in the cohort with at least one detected SARS-CoV-2 infection during follow-up and 1074 who developed type 1 diabetes. The rate ratio for incident type 1 diabetes associated with first positive test for SARS-CoV-2 (reference category: no previous infection) was 0.88 (95% CI 0.63 to 1.23) for infection more than 30 days earlier and 2.62 (95% CI 1.81 to 3.79) for infection in the previous 30 days. However negative and positive SARS-CoV-2 tests were more frequent in the days surrounding diabetes presentation. In those aged 0-14 years incidence of type 1 diabetes during 2020-2021 was 20% higher than the 7-year average.

Conclusion: Type 1 diabetes incidence in children increased during the pandemic. However the cohort analysis suggests that SARS-CoV-2 infection itself was not the cause of this increase.

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Cite as

Colhoun, H., McGurnaghan, S., Blackbourn, L., Bath, L., McAllister, D., Caparrotta, T., Wild, S., Wood, S., Stockton, D. & McKeigue, P. 2022, 'Relation of incident type 1 diabetes to recent COVID-19 infection: Cohort study using e-health record linkage in Scotland [conference]', Diabetologia. Conference: 58th Annual Meeting of the European Association for the Study of Diabetes, EASD 2022, 65(S1), pp. S123-S123. https://doi.org/10.1007/s00125-022-05755-w

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Last updated: 14 October 2022
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