Incidence of Diabetes After a COVID-19 Infection : Incidence of Diabetes After a COVID-19 Infection - Comparison of COVID-19 Patients, Non-infected Individuals, Historic Controls and Patients With Influenza
Long-term health sequelae of the coronavirus disease 2019 (COVID-19) are a major public health concern. There is evidence on new-onset hyperglycaemia and insulin resistance in patients without history of diabetes in the post-acute phase of COVID-19 (Long-Covid).This study is a longitudinal matched cohort study based on a total data pool of about 35 million SHI insured persons and investigates the incidence of a diabetes mellitus (differentiated into type 1, type 2 and other diabetes mellitus) diagnosis after confirmed SARS-Cov-2 infection compared to different control groups without SARS-Cov-2 infection. Individuals will be followed up from the date of diagnosis of SARS-Cov-2 infection, influenza diagnosis, or a randomly assigned index date for at least two quarters.To assess effects of Long-Covid on incidence of diabetes mellitus, follow-up begins with the second quarter after the quarter of the index date.The data analysis is carried out decentrally at the respective data holders of the POINTED consortium. Subsequently, the aggregated individual results are pooled..
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Klinische Studie| Erscheinungsjahr: |
2024 |
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| Erschienen: |
2024 |
| Enthalten in: |
ClinicalTrials.gov - (2024) vom: 25. März Zur Gesamtaufnahme - year:2024 |
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| Sprache: |
Englisch |
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| Links: |
Volltext [kostenfrei] |
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| Themen: |
610 |
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| Anmerkungen: |
Source: Link to the current ClinicalTrials.gov record., First posted: September 1, 2022, Last downloaded: ClinicalTrials.gov processed this data on April 03, 2024, Last updated: April 03, 2024 |
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| PPN (Katalog-ID): |
CTG000146269 |
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| 520 | |a Long-term health sequelae of the coronavirus disease 2019 (COVID-19) are a major public health concern. There is evidence on new-onset hyperglycaemia and insulin resistance in patients without history of diabetes in the post-acute phase of COVID-19 (Long-Covid).This study is a longitudinal matched cohort study based on a total data pool of about 35 million SHI insured persons and investigates the incidence of a diabetes mellitus (differentiated into type 1, type 2 and other diabetes mellitus) diagnosis after confirmed SARS-Cov-2 infection compared to different control groups without SARS-Cov-2 infection. Individuals will be followed up from the date of diagnosis of SARS-Cov-2 infection, influenza diagnosis, or a randomly assigned index date for at least two quarters.To assess effects of Long-Covid on incidence of diabetes mellitus, follow-up begins with the second quarter after the quarter of the index date.The data analysis is carried out decentrally at the respective data holders of the POINTED consortium. Subsequently, the aggregated individual results are pooled. | ||
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