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Diabetes was coded in 0.08% (IQVIA) and 0.25% (HealthVerity) of claims for patients with COVID-19, with the majority of diabetes diagnoses for type 1 or type 2 (IQVIA, 94.1% HealthVerity, 94.0%). Among 439,439 patients with COVID-19 in HealthVerity, the mean age was 12.7 years, 50.1% were female, and 0.9% were hospitalized at their index encounter. This activity was reviewed by CDC and was conducted consistent with applicable federal law and CDC policy.****Īmong 80,893 patients with COVID-19 in the IQVIA database, the mean age was 12.3 years, 50.1% were female, and 0.7% were hospitalized at their index COVID-19 encounter ( Table 1).
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SAS (version 9.4 SAS Institute) and PANDAS (version 1.3.0 PANDAS Community) software were used to conduct all analyses. Age and sex effect modifications were assessed using interaction terms. HRs were also estimated by age group and sex. ¶¶¶ Cox regression models were used to estimate HRs for diabetes risk.
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Frequencies of incident diabetes codes on, and DKA codes on or before, the date of the incident diabetes encounter were calculated.
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To evaluate the risk for any new diabetes diagnosis (type 1, type 2, or other diabetes) >30 days † after acute infection with SARS-CoV-2 (the virus that causes COVID-19), CDC estimated diabetes incidence among patients aged 30 days after the index date (excluding cases of transient, resolved hyperglycemia). In adults, diabetes might be a long-term consequence of SARS-CoV-2 infection ( 4– 7). The COVID-19 pandemic has disproportionately affected people with diabetes, who are at increased risk of severe COVID-19.* Increases in the number of type 1 diabetes diagnoses ( 1, 2) and increased frequency and severity of diabetic ketoacidosis (DKA) at the time of diabetes diagnosis ( 3) have been reported in European pediatric populations during the COVID-19 pandemic.