Diabetes Mellitus and HIV Study in Mwanza (CICADA)

June 28, 2021 updated by: Dr George PrayGod, National Institute for Medical Research, Tanzania

Diabetes and Associated Complications in HIV Patients

Emerging evidence from high-income countries suggests that diabetes mellitus is become a major health problem among HIV-infected patients. However, due to differences in social, environmental, and genetic factors data from high-income countries can not be extrapolated directly to low-income countries. This study investigates HIV, ART, inflammation, and body composition changes as risk factors for diabetes mellitus among HIV-infected patients in Tanzania.

Study Overview

Status

Status

Indicates the current recruitment status or the expanded access status.
Active, not recruiting

Conditions

Conditions

The disease, disorder, syndrome, illness, or injury that is being studied. On ClinicalTrials.gov, conditions may also include other health-related issues, such as lifespan, quality of life, and health risks.

Detailed Description

Access to antiretroviral therapy (ART) is increasing rapidly in low-income countries and HIV-infected patients initiate ART much earlier. As a result, these patients have prolonged life spans and, hence, longer HIV and ART exposure. Emerging data from developed countries suggest that HIV-infected patients have a higher risk than HIV-uninfected people of developing diabetes mellitus (DM) and other non-communicable diseases. The excess diabetes risk is probably related to multiple factors including HIV-associated inflammation, the use of some antiretroviral therapy (ART) regimens, and body composition changes associated with HIV and ART. As a result, HIV-infected populations may develop DM at a younger age and may have a higher mortality if management is not optimal as may be the case in resource-limited countries of Sub-Saharan Africa (SSA).

Most of the data to-date on HIV and DM are from high-income countries, and data in SSA are few and inconsistent. Because of differences in genetic composition as well as environmental factors including high burden of infectious diseases in resource-limited settings, data from high-income countries cannot be extrapolated and reliably used to improve quality of DM care among HIV patients in SSA. The objective of this study is to investigate if HIV, ART, and body composition changes occurring during ART use are associated with higher risk of DM as well as other risk factors for cardiovascular diseases in Tanzanian patients, and examine if HIV increases the risk of DM associated complications. This study is funded by the Danish Ministry of Foreign Affairs from 2016 to 2021.

Study Type

Study Type

Describes the nature of a clinical study. Study types include interventional studies (also called clinical trials), observational studies (including patient registries), and expanded access.
Observational

Enrollment (Actual)

Enrollment

The number of participants in a clinical study. The "anticipated" enrollment is the target number of participants that the researchers need for the study.
1947

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

  • Tanzania
    • Mwanza Region
      • Mwanza, Mwanza Region, Tanzania
        • NIMR Research Clinic

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

Eligibility Criteria

The key requirements that people who want to participate in a clinical study must meet or the characteristics they must have. Eligibility criteria consist of both inclusion criteria (which are required for a person to participate in the study) and exclusion criteria (which prevent a person from participating). Types of eligibility criteria include whether a study accepts healthy volunteers, has age or age group requirements, or is limited by sex.

Ages Eligible for Study

18 years and older (Adult, Older Adult)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Sampling Method

Non-Probability Sample

Study Population

A prospective cohort study with two annual follow-ups will be conducted. This will be based on two existing HIV cohorts i.e. Nutrition, Diabetes and Pulmonary Tuberculosis (TB)/HIV (NUT-TB) (NCT00311298) conducted in Mwanza from 2006-2009 and Nutritional Support for African Adults Starting Antiretroviral Therapy (NUSTART) ( PACTR201106000300631) conducted in Mwanza during 2011-2013 and a new HIV cohort which will be recruited at study initiation. In the New HIV cohort, investigators will recruit both HIV patients and HIV negative participants who will act as controls. These 3 groups will provide about 1900 participants with and without HIV infection to address study objectives.

Description

Inclusion Criteria:

  • For existing cohorts, patients should come from NUT-TB or NUSTART Cohorts
  • For New HIV cohort, patients should be HIV positive ART naive, HIV negative participants will be come from the same neighborhood as newly recruited HIV positive patients
  • Age will be 18 years and above
  • Mwanza region residency
  • Not planning to relocate outside Mwanza within the study period

Exclusion Criteria:

  • Very severe illness

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

Group / Cohort

A group or subgroup of participants in an observational study that is assessed for biomedical or health outcomes.
HIV and Diabetes Cohort
Participants recruited in the study will have diverse characteristics. Participants will either be HIV infected or HIV negative and among those HIV-infected there will be those on ART and those not on ART. In addition, participants will have other background characteristics like having history of tuberculosis treatment, being malnourished while starting ART, having diabetes at ART initiation etc. Investigators will also be able to examine the effect of immune activation, body composition changes, and other related factors on the risk of diabetes. This diversity of characteristics will help provide adequate data to address study outcomes.

What is the study measuring?

Primary Outcome Measures

Primary Outcome Measures

In a clinical study's protocol, the planned outcome measure that is the most important for evaluating the effect of an intervention/treatment. Most clinical studies have one primary outcome measure, but some have more than one.
Outcome Measure
Measure Description
Time Frame
Combined prevalence of pre-diabetes and diabetes
Time Frame: Baseline and follow-up (12 and 24 months)
The investigators will determine the combined prevalence of pre-diabetes and diabetes according to World Health Organization (WHO) diagnosis guidelines and investigate if behavioural and socio-demographic factors, and HIV, Tuberculosis (TB), ART, dyslipidaemia,chronic immune activation, parasitic infections, and body composition changes increase the risk of the outcome measure
Baseline and follow-up (12 and 24 months)
Prevalence of hypertension
Time Frame: Baseline and follow-up (12 and 24 months)
The investigators will determine the prevalence of hypertension according to WHO diagnosis guidelines and investigate if behavioural and socio-demographic factors, and HIV, TB, ART, dyslipidaemia,chronic immune activation, parasitic infections, and body composition changes increase the risk of the outcome measure
Baseline and follow-up (12 and 24 months)

Secondary Outcome Measures

Secondary Outcome Measures

In a clinical study's protocol, a planned outcome measure that is not as important as the primary outcome measure for evaluating the effect of an intervention but is still of interest. Most clinical studies have more than one secondary outcome measure.
Outcome Measure
Measure Description
Time Frame
Combined incidence of pre-diabetes and diabetes
Time Frame: Follow-up (12 and 24 months)
The investigators will determine the combined incidence of pre-diabetes and diabetes. The number of patients meeting WHO diagnostic criteria of pre-diabetes and those meeting WHO diagnostic criteria for diabetes will added together and become the numerator whereas participants who are not pre-diabetic or diabetic at the beginning of the observation period will constitute the denominator. Investigators will determine if behavioural and socio-demographic factors, and HIV, TB, ART, dyslipidaemia,chronic immune activation, parasitic infections, and body composition changes increase the risk of the outcome measure
Follow-up (12 and 24 months)
Prevalence of dyslipidaemia
Time Frame: Baseline and follow-up (12 and 24 months)
The investigators will determine prevalence of dyslipidaemia based on WHO diagnosis guidelines and investigate if HIV and ART increase the risk of the outcome measure
Baseline and follow-up (12 and 24 months)
Prevalence of diabetes clinical complications
Time Frame: Baseline and follow-up (12 and 24 months)
The investigators will determine prevalence of diabetes clinical complications and investigate if HIV and ART increase or modify the risk of the outcome measure
Baseline and follow-up (12 and 24 months)
Level of insulin resistance
Time Frame: Baseline and follow-up (12 and 24 months)
The investigators will determine level of insulin resistance and investigate if HIV and ART are associated with the outcome measure
Baseline and follow-up (12 and 24 months)
Level of beta-cell function
Time Frame: Baseline and follow-up (12 and 24 months)
The investigators will determine level of beta-cell function and investigate if HIV and ART are associated with the outcome measure
Baseline and follow-up (12 and 24 months)
Prevalence of diabetes by Fasting Blood Glucose (FBG), Oral Glucose Tolerance Test (OGTT) and Hba1c
Time Frame: Baseline
By determining the prevalence of diabetes among HIV patients by 3 tests (FBG, OGTT and Hba1c), investigators will be able to judge the test which is best at diagnosing diabetes in HIV-infected populations.
Baseline
Prevalence of sub-clinical atherosclerosis
Time Frame: Baseline and follow-up (12 and 24 months)
The investigators will determine the prevalence of sub-clinical atherosclerosis and investigate if behavioural and socio-demographic factors, and HIV, TB, ART, dyslipidaemia,chronic immune activation, parasitic infections, and body composition changes increase the risk of the outcome measure
Baseline and follow-up (12 and 24 months)

Collaborators and Investigators

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

Sponsor

Sponsor

The organization or person who initiates the study and who has authority and control over the study.
National Institute for Medical Research, Tanzania

Collaborators

Collaborators

An organization other than the sponsor that provides support for a clinical study. This support may include activities related to funding, design, implementation, data analysis, or reporting.
London School of Hygiene and Tropical Medicine
Rigshospitalet, Denmark
University of Copenhagen
University of Bergen
Vanderbilt University
Tanzania Commission for AIDS, Tanzania
Hindu Mandal Hospital,Tanzania

Investigators

Investigators

A researcher involved in a clinical study. Related terms include site principal investigator, site sub-investigator, study chair, study director, and study principal investigator.
  • Principal Investigator: Henrik Friis, MD, PhD, University of Copenhagen
  • Principal Investigator: George PrayGod, MD, PhD, National Institute for Medical Research (NIMR), Tanzania
  • Principal Investigator: Nyagosya Range, MSc, PhD, NIMR, Tanzania
  • Principal Investigator: Mette F Olsen, MSc, PhD, University of Copenhagen
  • Principal Investigator: Daniel Faurholt-Jepsen, MD, PhD, University of Copenhagen

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.

General Publications

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)

Study Start

The actual date on which the first participant was enrolled in a clinical study. The "anticipated" study start date is the date that the researchers think will be the study start date.
October 6, 2016

Primary Completion (Actual)

Primary Completion

The date on which the last participant in a clinical study was examined or received an intervention to collect final data for the primary outcome measure. Whether the clinical study ended according to the protocol or was terminated does not affect this date. For clinical studies with more than one primary outcome measure with different completion dates, this term refers to the date on which data collection is completed for all the primary outcome measures. The "anticipated" primary completion date is the date that the researchers think will be the primary completion date for the study.
December 30, 2019

Study Completion (Anticipated)

Study Completion

The date on which the last participant in a clinical study was examined or received an intervention/treatment to collect final data for the primary outcome measures, secondary outcome measures, and adverse events (that is, the last participant's last visit). The "anticipated" study completion date is the date that the researchers think will be the study completion date.
March 31, 2022

Study Registration Dates

First Submitted

First Submitted

The date on which the study sponsor or investigator first submitted a study record to ClinicalTrials.gov. There is typically a delay of a few days between the first submitted date and the record's availability on ClinicalTrials.gov (the first posted date).
February 15, 2017

First Submitted That Met QC Criteria

First Submitted That Met QC Criteria

The date on which the study sponsor or investigator first submits a study record that is consistent with National Library of Medicine (NLM) quality control (QC) review criteria. The sponsor or investigator may need to revise and submit a study record one or more times before NLM's QC review criteria are met. It is the responsibility of the sponsor or investigator to ensure that the study record is consistent with the NLM QC review criteria.
April 3, 2017

First Posted (Actual)

First Posted

The date on which the study record was first available on ClinicalTrials.gov after National Library of Medicine (NLM) quality control (QC) review has concluded. There is typically a delay of a few days between the date the study sponsor or investigator submitted the study record and the first posted date.
April 10, 2017

Study Record Updates

Last Update Posted (Actual)

Last Update Posted

The most recent date on which changes to a study record were made available on ClinicalTrials.gov. There may be a delay between when the changes were submitted to ClinicalTrials.gov by the study's sponsor or investigator (the last update submitted date) and the last update posted date.
June 29, 2021

Last Update Submitted That Met QC Criteria

Last Update Submitted That Met QC Criteria

The most recent date on which the study sponsor or investigator submitted changes to a study record that are consistent with National Library of Medicine (NLM) quality control (QC) review criteria. It is the responsibility of the sponsor or investigator to ensure that the study record is consistent with the NLM QC review criteria.
June 28, 2021

Last Verified

Last Verified

The most recent date on which the study sponsor or investigator confirmed the information about a clinical study on ClinicalTrials.gov as accurate and current. If a study with a recruitment status of recruiting; not yet recruiting; or active, not recruiting has not been confirmed within the past 2 years, the study's recruitment status is shown as unknown.
June 1, 2021

More Information

Terms related to this study

Keywords

Additional Relevant MeSH Terms

Other Study ID Numbers

Other Study ID Numbers

Identifiers or ID numbers other than the NCT number that are assigned to a clinical study by the study's sponsor, funders, or others. These numbers may include unique identifiers from other trial registries and National Institutes of Health grant numbers.
  • 16-P01-TAN

Plan for Individual participant data (IPD)

Plan to Share Individual Participant Data (IPD)?

NO

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.

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