The associations between COVID-19 diagnosis, type 1 diabetes, and the risk of diabetic ketoacidosis: A nationwide cohort from the US using the Cerner Real-World Data
Abstract:Objective
To assess the risk of new-onset type 1 diabetes mellitus (T1D) diagnosis following COVID-19 diagnosis and the impact of COVID-19 diagnosis on the risk of diabetic ketoacidosis (DKA) in patients with prior T1D diagnosis.
Research design and methods
Retrospective data consisting of 27,292,879 patients from the Cerner Real-World Data were used. Odds ratios, overall and stratified by demographic predictors, were calculated to assess associations between COVID-19 and T1D. Odds ratios from multivariable … Show more
“…Whether COVID-19 could trigger auto-immunity in predisposed people remains unknown [ 57 ]. For example, a recent study showed an association between COVID-19 infection and development of type 1 diabetes, with a higher risk in younger (age 0–1) and older (51–65) people [ 89 ]. Whether this risk is higher in people with pro-inflammatory PI remains unknown.…”
“…Whether COVID-19 could trigger auto-immunity in predisposed people remains unknown [ 57 ]. For example, a recent study showed an association between COVID-19 infection and development of type 1 diabetes, with a higher risk in younger (age 0–1) and older (51–65) people [ 89 ]. Whether this risk is higher in people with pro-inflammatory PI remains unknown.…”
“…We included Xie's cohort because it had a larger sample size, longer follow-up duration, and more adequate data. Additionally, 10 articles, including 11 cohorts, proved eligible [27] , [28] , [29] , [30] , [31] , [32] , [33] , [34] , [35] , [36] , of which two articles were pre-printed [28] , [32] . …”
Section: Resultsmentioning
confidence: 99%
“…Table 1 summarizes the characteristics of all the included cohorts. Seven of the 11 retrospective cohorts included populations from the United States [27] , [29] , [30] , [31] , [33] , [34] , three from Europe (England, Scotland, and Germany) [32] , [35] , [36] , and one from the global population [28] . Among all cohorts, >4.5 million participants with COVID-19 during the pandemic (after December 2019) and >42 million people without either COVID-19 or diabetes were included.…”
“…Kamrath et al 8 cautiously suggests that the incidence of T1D followed the peak incidence of COVID‐19 by approximately 3 months, we however do not think this could be interpreted as causation; moreover, neither Kamrath et al 8 nor we have individual COVID‐19 data. Studies using electronic medical records and medical claims might bring more insight ‐ of the published works, some 10 , 12 but not all 11 observed a link between COVID‐19 and an increase in pediatric diabetes incidence.…”
Section: Discussionmentioning
confidence: 99%
“… 8 , 9 Recently, studies have been published that utilized big collections of electronic health records or medical claims, reporting conflicting results. 10 , 11 , 12 …”
Background
To explore type 1 diabetes incidence patterns during the pandemic years 2020 and 2021 in Czechia, to compare them to the trends from the previous decade, and to test its association with indicators of containment measures and of pandemic severity (school closing and the all‐cause excess mortality).
Methods
The Czech Childhood Diabetes Register is a population‐based incidence register recording patients age 0–14.99 years at diabetes onset. Type 1 diabetes incidence in the pandemic period (April 2020–end of observation Dec 2021) was compared by Poisson regression models to the incidence patterns over the past decade 2010–2019.
Results
During the pandemic years 2020–2021, 956 children 0–14.99 years old manifested with type 1 diabetes in Czechia. The observed incidence (27.2/100,000/year) was significantly higher than what was expected from the trends over 2010–2019 (incidence rate ratio, IRR = 1.16, 95%CI 1.06–1.28,
p
= 0.0022). The incidence had a trough during the first lockdown (March–May 2020), then it rose above expected values with no usual summer decrease. The assessed pandemic indicators (school closing and all‐cause excess mortality) were not associated with the incidence levels.
Conclusions
The COVID‐19 pandemic was associated with a notable upward inflection of the type 1 diabetes incidence curve; the early months of the first lockdown were however hallmarked by a significant dip in new diabetes diagnoses. Long‐term observation will show whether the increased incidence originated only from accelerating an advanced preclinical Stage 2 to overt diabetes, or whether the pandemic triggered new cases of islet autoimmunity.
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