Incidence of Diabetes After a COVID-19 Infection (POINTED_Diab)

Incidence of Diabetes After a COVID-19 Infection - Comparison of COVID-19 Patients, Non-infected Individuals, Historic Controls and Patients With Influenza

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.

Study Overview

Status

Completed

Intervention / Treatment

Detailed Description

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.

Study Type

Observational

Enrollment (Actual)

157134

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Dresden, Germany
        • Center For Evidence-Based Healthcare, Technische Universität Dresden

Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

  • Child
  • Adult
  • Older Adult

Accepts Healthy Volunteers

No

Sampling Method

Non-Probability Sample

Study Population

Patients who are insured in one of the data-contributing health insurance companies and meet the inclusion/exclusion criteria.

Description

Inclusion Criteria (cohorts: COVID-19 and No COVID-19)

  • Persons who were insured for at least one day between 01.01.2020 and 31.03.2021
  • Insured who were fully observable in 2019, as well as between 01.01.2020 and the end of the available observation period (maximum 30.09.2021) or until death
  • Alternatively to two previous items: or insured who were born between 01.01.2019 and 31.03.2021 and were fully observable until the end of the observation period (30.09.2021) or death

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

  • Insured with an outpatient confirmed E10-E14 diagnosis or an inpatient main or secondary E10-E14 diagnosis in the four quarters prior to the COVID-19 index quarter or without a corresponding diagnosis between birth to cohort entry
  • Insured who are not alive on the first day of the second quarter after the index quarter

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)

  • Insured who were insured for at least one day between 01.01.2018 and 31.03.2019 (COVID-19 inclusion period minus 2 years)
  • Insureds who were fully observable in 2017 and between 01.01.2018 and the end of the observation period (30.09.2019) or until death
  • Alternative to two previous items: Insured who were fully observable from birth (between 01.01.2017 and 31.03.2019) to 30.09.2019 or until death

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

  • Insured with an outpatient confirmed E10-E14 diagnosis or an inpatient main or secondary E10-E14 diagnosis in the four quarters before the index quarter or without a corresponding diagnosis between birth and cohort entry (if period between birth and cohort entry < four months)
  • Insured who are not still alive on the first day of the second quarter after the index quarter.

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

Cohorts and Interventions

Group / Cohort
Intervention / Treatment
COVID-19
no interventional study
no interventional study
Control I: No COVID-19
no interventional study
no interventional study
Control II: Influenza 2018
no interventional study
no interventional study
Control III: Historical 2018
no interventional study
no interventional study

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Type 1 Diabetes mellitus
Time Frame: 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.
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
Time Frame: 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.
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
Time Frame: 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.
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.

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Fatigue
Time Frame: 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.
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.
Taste disorders
Time Frame: 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.
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.

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Investigators

  • Study Director: Jochen Schmitt, Prof. Dr. med., Center For Evidence-Based Healthcare, Technische Universität Dresden
  • Principal Investigator: 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

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (Actual)

January 1, 2018

Primary Completion (Actual)

September 30, 2021

Study Completion (Actual)

September 30, 2021

Study Registration Dates

First Submitted

August 30, 2022

First Submitted That Met QC Criteria

August 30, 2022

First Posted (Actual)

September 1, 2022

Study Record Updates

Last Update Posted (Actual)

March 25, 2024

Last Update Submitted That Met QC Criteria

March 22, 2024

Last Verified

March 1, 2024

More Information

Terms related to this study

Drug and device information, study documents

Studies a U.S. FDA-regulated drug product

No

Studies a U.S. FDA-regulated device product

No

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

Clinical Trials on COVID-19

Clinical Trials on no interventional study

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