Severe COVID-19 Infection in Type 1 and Type 2 Diabetes During the First Three Waves in Sweden
Main finding · COVID-19 hospitalizationResult — go to the resultMultiple-adjusted OR 1.38 95% CI 1.24–1.53Authors' conclusion
Type 2 diabetes was associated with increased odds for all outcomes, whereas patients with type 1 diabetes had moderately increased odds of hospitalization but not ICU care and death.
Study context
- Population
- All adults aged ≥18 years in Sweden, with and without diabetes, first three COVID-19 waves until 30 June 2021
- Participants
- 51,402 / 504,337 / 7,824,181
- Exposure
- T1D or T2D vs no diabetes
- T1Dn = 51,402
- T2Dn = 504,337
- No diabetesn = 7,824,181reference
- Outcome
- Hospitalization, need for intensive care unit (ICU) care, or death from COVID-19 (odds ratios (ORs) adjusted for age, socioeconomic factors and coexisting conditions)
- Follow-up
- Until 30 June 2021
Methodological detailsnationwide health registries, multiple-adjusted, machine learning prediction models
- Nationwide health registries
- Multiple-adjusted
- Machine learning prediction models
Main finding
COVID-19 hospitalization
Multiple-adjusted OR
1.38
95% CI 1.24–1.53
Events by group
T1Dvs No diabetes
multiple-adjusted OR 1.38 (95% CI 1.24–1.53)
As reported in the abstract
Observational data: associations, not effects.
Further findings
| Outcome | T1D | T2D | No diabetes | OR (95% CI) | |
|---|---|---|---|---|---|
| ICU care · until 30 June 2021T1Dvs No diabetes | 0.13% | 0.56% | 0.11% | 1.21 (0.94–1.52) | |
| Death · until 30 June 2021T1Dvs No diabetes | 0.13% | 0.80% | 0.13% | 1.13 (0.88–1.48) | |
| 0.512Odds ratio (log scale) |
Predictors of outcomes among patients with diabetes positive for COVID-19 (machine learning)
- Age and socioeconomic factors were the dominating features for predicting hospitalization and death in both types of diabetes
Original publication
Severe COVID-19 Infection in Type 1 and Type 2 Diabetes During the First Three Waves in Sweden. Diabetes Care. Published 6 January 2023. doi:10.
Composed by AI from the published abstract and checked against it. How Briefs are made →