Diabetes Mellitus and HIV Study in Mwanza (CICADA)

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: Active, not recruiting
• Conditions: Diabetes Mellitus; HIV/AIDS

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: Observational
• Enrollment (Actual): 1947

Contacts and Locations

Study Locations

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

Participation Criteria

Eligibility Criteria

• 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

How is the study designed?

Number of groups / cohorts

1

Cohorts and Interventions

Group / Cohort

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

Outcome Measure	Measure Description	Time Frame
Combined prevalence of pre-diabetes and diabetes	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	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

Outcome Measure	Measure Description	Time Frame
Combined incidence of pre-diabetes and diabetes	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	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	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	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	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	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	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

• Sponsor: National Institute for Medical Research, Tanzania
• Collaborators: 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: 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

General Publications

• Maganga E, Smart LR, Kalluvya S, Kataraihya JB, Saleh AM, Obeid L, Downs JA, Fitzgerald DW, Peck RN. Glucose Metabolism Disorders, HIV and Antiretroviral Therapy among Tanzanian Adults. PLoS One. 2015 Aug 19;10(8):e0134410. doi: 10.1371/journal.pone.0134410. eCollection 2015.
• PrayGod G, Changalucha J, Kapiga S, Peck R, Todd J, Filteau S. Dysglycemia associations with adipose tissue among HIV-infected patients after 2 years of antiretroviral therapy in Mwanza: a follow-up cross-sectional study. BMC Infect Dis. 2017 Jan 30;17(1):103. doi: 10.1186/s12879-017-2209-z.
• Ali MK, Magee MJ, Dave JA, Ofotokun I, Tungsiripat M, Jones TK, Levitt NS, Rimland D, Armstrong WS. HIV and metabolic, body, and bone disorders: what we know from low- and middle-income countries. J Acquir Immune Defic Syndr. 2014 Sep 1;67 Suppl 1:S27-39. doi: 10.1097/QAI.0000000000000256.
• Tien PC, Schneider MF, Cole SR, Levine AM, Cohen M, DeHovitz J, Young M, Justman JE. Antiretroviral therapy exposure and incidence of diabetes mellitus in the Women's Interagency HIV Study. AIDS. 2007 Aug 20;21(13):1739-45. doi: 10.1097/QAD.0b013e32827038d0.
• Florescu D, Kotler DP. Insulin resistance, glucose intolerance and diabetes mellitus in HIV-infected patients. Antivir Ther. 2007;12(2):149-62. doi: 10.1177/135965350701200214.
• PrayGod G, Blevins M, Woodd S, Rehman AM, Jeremiah K, Friis H, Kelly P, Changalucha J, Heimburger DC, Filteau S, Koethe JR. A longitudinal study of systemic inflammation and recovery of lean body mass among malnourished HIV-infected adults starting antiretroviral therapy in Tanzania and Zambia. Eur J Clin Nutr. 2016 Apr;70(4):499-504. doi: 10.1038/ejcn.2015.221. Epub 2016 Jan 20. Erratum In: Eur J Clin Nutr. 2016 Apr;70(4):536.
• Dillon DG, Gurdasani D, Riha J, Ekoru K, Asiki G, Mayanja BN, Levitt NS, Crowther NJ, Nyirenda M, Njelekela M, Ramaiya K, Nyan O, Adewole OO, Anastos K, Azzoni L, Boom WH, Compostella C, Dave JA, Dawood H, Erikstrup C, Fourie CM, Friis H, Kruger A, Idoko JA, Longenecker CT, Mbondi S, Mukaya JE, Mutimura E, Ndhlovu CE, Praygod G, Pefura Yone EW, Pujades-Rodriguez M, Range N, Sani MU, Schutte AE, Sliwa K, Tien PC, Vorster EH, Walsh C, Zinyama R, Mashili F, Sobngwi E, Adebamowo C, Kamali A, Seeley J, Young EH, Smeeth L, Motala AA, Kaleebu P, Sandhu MS; African Partnership for Chronic Disease Research (APCDR). Association of HIV and ART with cardiometabolic traits in sub-Saharan Africa: a systematic review and meta-analysis. Int J Epidemiol. 2013 Dec;42(6):1754-71. doi: 10.1093/ije/dyt198. Erratum In: Int J Epidemiol. 2016 Dec 1;45(6):2210-2211.

Study record dates

Study Major Dates

• Study Start (Actual): October 6, 2016
• Primary Completion (Actual): December 30, 2019
• Study Completion (Anticipated): March 31, 2022

Study Registration Dates

• First Submitted: February 15, 2017
• First Submitted That Met QC Criteria: April 3, 2017
• First Posted (Actual): April 10, 2017

Study Record Updates

• Last Update Posted (Actual): June 29, 2021
• Last Update Submitted That Met QC Criteria: June 28, 2021
• Last Verified: June 1, 2021

More Information

Terms related to this study

• Keywords: Inflammation; Insulin resistance; HIV; Hypertension; Diabetes Mellitus; Body composition; Pre-diabetes; ART; Pre-Hypertension; Beta-cell function
• Additional Relevant MeSH Terms: Glucose Metabolism Disorders; Metabolic Diseases; Endocrine System Diseases; Diabetes Mellitus
• Other Study ID 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