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Severe COVID-19 Infection in Type 1 and Type 2 Diabetes During the First Three Waves in Sweden.
Edqvist, Jon; Lundberg, Christina; Andreasson, Karin; Björck, Lena; Dikaiou, Pigi; Ludvigsson, Johnny; Lind, Marcus; Adiels, Martin; Rosengren, Annika.
  • Edqvist J; 1Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
  • Lundberg C; 2Region Västra Götaland, Anesthesiology and Intensive Care Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden.
  • Andreasson K; 1Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
  • Björck L; 1Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
  • Dikaiou P; 1Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
  • Ludvigsson J; 3Region Västra Götaland, Department of Medicine Geriatrics and Emergency Medicine, Sahlgrenska University Hospital Östra Hospital, Gothenburg, Sweden.
  • Lind M; 1Department of Molecular and Clinical Medicine, Institute of Medicine, Sahlgrenska Academy, University of Gothenburg, Gothenburg, Sweden.
  • Adiels M; 4Region Västra Götaland, Department of Internal Medicine, Sahlgrenska University Hospital, Gothenburg, Sweden.
  • Rosengren A; 5Crown Princess Victoria Children's Hospital and Division of Pediatrics, Department of Biomedical and Clinical Sciences, Linköping University, Linköping, Sweden.
Diabetes Care ; 46(3): 570-578, 2023 03 01.
Article in English | MEDLINE | ID: covidwho-2198235
ABSTRACT

OBJECTIVE:

Type 2 diabetes is an established risk factor for hospitalization and death in COVID-19 infection, while findings with respect to type 1 diabetes have been diverging. RESEARCH DESIGN AND

METHODS:

Using nationwide health registries, we identified all patients aged ≥18 years with type 1 and type 2 diabetes in Sweden. Odds ratios (ORs) describe the general and age-specific risk of being hospitalized, need for intensive care, or dying, adjusted for age, socioeconomic factors, and coexisting conditions, compared with individuals without diabetes. Machine learning models were used to find predictors of outcomes among individuals with diabetes positive for COVID-19.

RESULTS:

Until 30 June 2021, we identified 365 (0.71%) and 11,684 (2.31%) hospitalizations in 51,402 and 504,337 patients with type 1 and 2 diabetes, respectively, with 67 (0.13%) and 2,848 (0.56%) requiring intensive care unit (ICU) care and 68 (0.13%) and 4,020 (0.80%) dying (vs 7,824,181 individuals without diabetes [41,810 hospitalizations (0.53%), 8,753 (0.11%) needing ICU care, and 10,160 (0.13%) deaths). Although those with type 1 diabetes had moderately raised odds of being hospitalized (multiple-adjusted OR 1.38 [95% CI 1.24-1.53]), there was no independent effect on ICU care or death (OR of 1.21 [95% CI 0.94-1.52] and 1.13 [95% CI 0.88-1.48], respectively). Age and socioeconomic factors were the dominating features for predicting hospitalization and death in both types of diabetes.

CONCLUSIONS:

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.
Subject(s)

Full text: Available Collection: International databases Database: MEDLINE Main subject: Diabetes Mellitus, Type 1 / Diabetes Mellitus, Type 2 / COVID-19 Type of study: Prognostic study Limits: Adolescent / Adult / Humans Country/Region as subject: Europa Language: English Journal: Diabetes Care Year: 2023 Document Type: Article Affiliation country: Dc22-1760

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Diabetes Mellitus, Type 1 / Diabetes Mellitus, Type 2 / COVID-19 Type of study: Prognostic study Limits: Adolescent / Adult / Humans Country/Region as subject: Europa Language: English Journal: Diabetes Care Year: 2023 Document Type: Article Affiliation country: Dc22-1760