| 1. |
- Oster, S., et al.
(författare)
-
Self-management and hospitalization in 615 Swedish patients with Addison's disease during the coronavirus disease 2019 pandemic: a retrospective study
- 2023
-
Ingår i: European Journal of Endocrinology. - : Oxford University Press (OUP). - 0804-4643 .- 1479-683X. ; 188:2
-
Tidskriftsartikel (refereegranskat)abstract
- Objective Autoimmune Addison's disease (AAD) entails a chronic adrenal insufficiency and is associated with an increased risk of severe infections. It is, however, unknown how patients with AAD were affected by the coronavirus disease 2019 (COVID-19) pandemic of 2020-2021. This study was aimed at investigating the incidence of COVID-19 in patients with AAD in Sweden, the self-adjustment of medications during the disease, impact on social aspects, and treatment during hospitalization. Additionally, we investigated if there were any possible risk factors for infection and hospitalization. Design and methods Questionnaires were sent out from April to October 2021 to 813 adult patients with AAD in the Swedish Addison Registry. The questionnaires included 55 questions inquiring about COVID-19 sickness, hospital care, medications, and comorbidities, focusing on the pre-vaccine phase. Results Among the 615 included patients with AAD, COVID-19 was reported in 17% of which 8.5% required hospital care. Glucocorticoid treatment in hospitalized patients varied. For outpatients, 85% increased their glucocorticoid dosage during sickness. Older age (P = .002) and hypertension (P = .014) were associated with an increased risk of hospital care, while younger age (P < .001) and less worry about infection (P = .030) were correlated with a higher risk of COVID-19. Conclusions In the largest study to date examining AAD during the COVID-19 pandemic, we observed that although one-fifth of the cohort contracted COVID-19, few patients required hospital care. A majority of the patients applied general recommended sick rules despite reporting limited communication with healthcare during the pandemic.
|
|
| 2. |
|
|
| 3. |
|
|
| 4. |
|
|
| 5. |
|
|
| 6. |
|
|
| 7. |
- Skov, J., et al.
(författare)
-
Co-aggregation and heritability of organ-specific autoimmunity: a population-based twin study
- 2020
-
Ingår i: European Journal of Endocrinology. - : Oxford University Press (OUP). - 0804-4643 .- 1479-683X. ; 182:5, s. 473-480
-
Tidskriftsartikel (refereegranskat)abstract
- Objective: Co-aggregation of autoimmune diseases is common, suggesting pa rtly shared etiologies. Genetic factors are believed to be important, but objective measures of environ mental vs heritable influences on co-aggregation are absent. With a novel approach to twin studies, we aimed at esti mating heritability and genetic overlap in seven organspecific autoimmune diseases. Design: Prospective twin cohort study. Methods: We used a cohort of 110 814 twins to examine co-aggregation an d heritability of Hashimoto's thyroiditis, atrophic gastritis, celiac disease, Graves' disease, type 1 dia betes, vitiligo and Addison's disease. Hazard ratios (HR) were calculated for twins developing the same or different disea se as compared to their co-twin. The differences between monozygotic and dizygotic twin pairs were used to estim ate the genetic influence on co- aggregation. Heritability for individual disorders was calculated using stru ctural equational modeling adjusting for censoring and truncation of data. Results: Co-aggregation was more pronounced in monozygotic twins (media n HR: 3.2, range: 2.2-9.2) than in dizygotic twins (median HR: 2.4, range: 1.1-10.0). Heritability was moder ate for atrophic gastritis (0.38, 95% CI: 0.23-0.53) but high for all other diseases, ranging from 0.60 (95% CI: 0.49-0. 71) for Graves' disease to 0.97 (95% CI: 0.91- 1.00) for Addison's disease. Conclusions: Overall, co-aggregation was more pronounced in monozygotic tha n in dizygotic twins, suggesting that disease overlap is largely attributable to genetic factors. Co- aggregation was common, and twins faced up to a ten-fold risk of developing diseases not present in their co-twin. Our r esults validate and refine previous heritability estimates based on smaller twin cohorts.
|
|
| 8. |
|
|
| 9. |
|
|
| 10. |
- Skov, J., et al.
(författare)
-
Shared etiology of type 1 diabetes and Hashimoto's thyroiditis: a population-based twin study
- 2022
-
Ingår i: European Journal of Endocrinology. - : Oxford University Press (OUP). - 0804-4643 .- 1479-683X. ; 186:6, s. 677-685
-
Tidskriftsartikel (refereegranskat)abstract
- Objective: Type 1 diabetes and Hashimoto's thyroiditis frequently cluster in individuals and in families, indicating shared origins. The objective of this study was to investigate familial co-aggregation of these diseases and to quantify shared genetic and environmental factors. Design: This study is a twin cohort study. Methods: National health registers were used to identify cases among 110 814 Swedish twins. Co-aggregation was calculated as risk ratios for type 1 diabetes among co-twins of individuals with Hashimoto's thyroiditis, and vice-versa. Variance explained by genetics (i.e. heritability), and the proportions thereof shared between the diseases, was estimated by contrasting associations in monozygotic and dizygotic twins using structural equation models. Results: Individuals with one disease were at a high risk for the other disease (adjusted risk ratio: 11.4 (95% CI: 8.5-15.3)). Co-aggregation was more common in monozygotic than in dizygotic pairs, with adjusted risk ratios of 7.0 (95% CI: 3.2-15.1) and 1.7 (95% CI: 0.7-4.1), respectively. Genetic effects shared across diseases accounted for 11% of the variance for type 1 diabetes and 9% of the variance for Hashimoto's thyroiditis, while environmental factors unique to individual twins, but shared across diseases, accounted for 10% of the variance for type 1 diabetes and 18% of the variance for Hashimoto's thyroiditis. Conclusions: Both genes and environment unique to individual twins contribute to considerable etiologic overlap between type 1 diabetes and Hashimoto's thyroiditis. These findings add to the current knowledge on the mechanisms behind autoimmune disease clustering and could guide future research aimed at identifying pathophysiological mechanisms and intervention targets.
|
|
