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| Name | Class |
|---|---|
| Robert Koch Institut | OTHER_GOV |
| Center for Evidence-Based Healthcare, Technische Universität Dresden | UNKNOWN |
| Techniker Krankenkasse | OTHER |
| BARMER |
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Prospective observational study of the POINTED consortium to evaluate whether new diagnoses of diabetes mellitus, occur significantly more frequently in the post-acute phase of a laboratory-confirmed SARS-CoV-2 infection than in carefully matched control groups.
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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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| COVID-19 | no interventional study |
| |
| Control I: No COVID-19 | no interventional study |
| |
| Control II: Influenza 2018 | no interventional study |
| |
| Control III: Historical 2018 | no interventional study |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| no interventional study | Other | no interventional study |
|
| Measure | Description | Time Frame |
|---|---|---|
| Type 1 Diabetes mellitus | Patients with a newly documented, confirmed Type 1 Diabetes mellitus diagnosis. Based on a published algorithm (Reitzle et al. 2022) using ICD-10-GM diagnoses and ATC-codes. | Starting with the second quarter following inclusion quarter until end of follow-up or death, whatever comes first. Time frame must be at least two quarters following inclusion quarter. |
| Type 2 Diabetes mellitus | Patients with a newly documented, confirmed Type 2 Diabetes mellitus diagnosis. Based on a published algorithm using ICD-10-GM diagnoses and ATC-codes. | Starting with the second quarter following inclusion quarter until end of follow-up or death, whatever comes first. Time frame must be at least two quarters following inclusion quarter. |
| Other Diabetes mellitus | Patients with a newly documented, confirmed "Other Diabetes mellitus" diagnosis. Based on a published algorithm using ICD-10-GM diagnoses and ATC-codes. | Starting with the second quarter following inclusion quarter until end of follow-up or death, whatever comes first. Time frame must be at least two quarters following inclusion quarter. |
| Measure | Description | Time Frame |
|---|---|---|
| Fatigue | Patients with at least one confirmed ambulatory or main or secondary inpatient diagnosis ICD-10-GM G93.3 Chronic fatigue syndrome. | Starting with the second quarter following inclusion quarter until end of follow-up or death, whatever comes first. Time frame must be at least two quarters following inclusion quarter. |
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Inclusion Criteria (cohorts: COVID-19 and No COVID-19)
Additional inclusion criteria (cohort: COVID-19):
- Insured with at least one U07.1! confirmed outpatient diagnosis or an inpatient main or secondary diagnosis U07.1! between 01.02.2020 and 31.03.2021
Exclusion criteria
Additional Exclusion criteria (cohort: no COVID-19):
-Insured with at least one COVID-19 diagnosis (U07.1 or U07.2) during the observation period (between 01.02.2020 and 30.09.2021)
Inclusion Criteria (cohorts: Influenza 2018 and Historical 2018)
Additional inclusion Criteria (cohort: Influenza 2018):
-Insured with at least one J10 diagnosis (Influenza) confirmed in an outpatient setting or an inpatient main or secondary J10 diagnosis between 01.02.2018 and 30.06.2018.
Exclusion criteria
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Patients who are insured in one of the data-contributing health insurance companies and meet the inclusion/exclusion criteria.
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| Name | Affiliation | Role |
|---|---|---|
| Jochen Schmitt, Prof. Dr. med. | Center for Evidence-Based Healthcare, Technische Universität Dresden | Study Director |
| Josephine Jacob, MSc | InGef - Institute for Applied Health Research Berlin GmbH | Principal Investigator |
| Christa Scheidt-Nave, Dr. | Robert Koch-Institut; Fachgebiet 25 - Körperliche Gesundheit | Principal Investigator |
| Lukas Reitzle, Dr. | Robert Koch-Institut; Fachgebiet 24: Gesundheits-bericht-erstattung | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Center for Evidence-Based Healthcare, Technische Universität Dresden | Dresden | Germany |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 35654399 | Background | Reitzle L, Ihle P, Heidemann C, Paprott R, Koster I, Schmidt C. [Algorithm for the Classification of Type 1 and Type 2 Diabetes Mellitus for the Analysis of Routine Data]. Gesundheitswesen. 2023 Mar;85(S 02):S119-S126. doi: 10.1055/a-1791-0918. Epub 2022 Jun 2. German. |
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| ID | Term |
|---|---|
| D000086382 | COVID-19 |
| D003920 | Diabetes Mellitus |
| D000094024 | Post-Acute COVID-19 Syndrome |
| ID | Term |
|---|---|
| D011024 | Pneumonia, Viral |
| D011014 | Pneumonia |
| D012141 | Respiratory Tract Infections |
| D007239 | Infections |
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| OTHER |
| DAK Gesundheit | OTHER |
| AOK PLUS | INDUSTRY |
| Vandage GmbH | UNKNOWN |
| IKK Classic | UNKNOWN |
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| Taste disorders |
Patients with at least one confirmed ambulatory or main or secondary inpatient diagnosis ICD-10-GM R43 Taste diorders. |
| Starting with the second quarter following inclusion quarter until end of follow-up or death, whatever comes first. Time frame must be at least two quarters following inclusion quarter. |
| D014777 |
| Virus Diseases |
| D018352 | Coronavirus Infections |
| D003333 | Coronaviridae Infections |
| D030341 | Nidovirales Infections |
| D012327 | RNA Virus Infections |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
| D044882 | Glucose Metabolism Disorders |
| D008659 | Metabolic Diseases |
| D009750 | Nutritional and Metabolic Diseases |
| D004700 | Endocrine System Diseases |
| D000094025 | Post-Infectious Disorders |
| D002908 | Chronic Disease |
| D020969 | Disease Attributes |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |