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CoviDTUN is a multicenter observatory set up by a steering committee to determine the presentation and evolution of diabetes in COVID-19 and study its pathogenesis.
The observatory comprises a dataset consisting of routinely collected clinical information anonymously to be entered by the investigator as a participating clinician/researcher.
The study will be an opportunity to understand the relationship between COVID-19 and diabetes, to enrich Tunisian data on diabetic and de novo diabetic patients who have contracted COVID-19 and to evaluate the prognostic severity factors for better management of these patients.
It is a multicentric Tunisian observatory for COVID-19 patients. Confirmed COVID-19 patients, treated on an outpatient basis, in containment centers or hospitalized in COVID-19 units were included retrospectively from March 2020 and had continued prospectively til June 2022. The study had selected eligible patient recorded for inclusion by free practice physicians and hospital physicians. General data, medical history, epidemiological characteristics, clinical examination, biological assessment (blood glucose, NFS, CRP, D-dimer, etc.), clinical course and complications were therefore recorded in a structured and anonymized database. Data collection was carried out by DACIMA Clinical Suite® solution, in accordance with the normative and regulatory provisions in force in the management of health data.
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| routinely collected clinical information | Other | medical history, epidemiological characteristics, clinical examination, biological assessment (blood glucose, NFS, CRP, D-dimer,etc...) |
| Measure | Description | Time Frame |
|---|---|---|
| Effectiveness of patients with COVID-19 who have developed de novo diabetes. | The de novo diabetic patient is defined as follows: Fasting blood glucose ≥ 1.26 g/L (7mmol/L) or postprandial blood glucose ≥ 2g/L (11.1 mmol/L) within 2 weeks of COVID- 19 infection, no history of diabetes before the COVID-19 episode. | 3 months |
| Measure | Description | Time Frame |
|---|---|---|
| Demographic characteristics of diabetic patients | age, weight, gender, BMI, age of diabetes, diabetes treatments, type of diabetes, diabetes complications, comorbidities (hypertension, heart disease, dyslipidemia), vaccination status (number of doses, type of vaccine), associated treatments, hospitalization, evolution (use of respiratory support, cure, death following COVID-19 infection in diabetic and non-diabetic patients). |
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Inclusion Criteria:
or
- De novo diabetes (the de novo diabetic patient is defined as: Fasting blood glucose ≥ 1.26 g/L (7mmol/L) or postprandial blood glucose ≥ 2g/L (11.1 mmol/L) within 2 weeks of COVID-19 infection, no history of diabetes before the COVID-19 episode)).
Exclusion criteria:
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Confirmed COVID-19 patients, treated on an outpatient basis, in containment centers or hospitalized in COVID-19 units.
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| Name | Affiliation | Role |
|---|---|---|
| Faida AJILI, Pr. | Department of Internal Medicine at the Military Hospital of Tunis | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Autoimmune diseases research unit UR17DN02, Department of Internal Medicine at the Military Hospital of Tunis | Tunis | Tunisia |
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| 3 months |