The Impact of Alcohol Consumption on Tuberculosis Treatment Outcomes
Primary Purpose
Tuberculosis, Alcohol Consumption, Treatment Adverse Effect
Status
Completed
Phase
Not Applicable
Locations
South Africa
Study Type
Interventional
Intervention
DOT Adherence Monitoring
Sponsored by
About this trial
This is an interventional supportive care trial for Tuberculosis focused on measuring tuberculosis culture, alcohol use
Eligibility Criteria
Inclusion Criteria:
- at least 15 years old
- initiating TB treatment in South Africa
- expect to remain in the local area for the next 2 years
- agree to comply with all study requirements, including provision of contact information and attendance at all study appointments
- provide written, informed consent to participate in the study if ≥18 years of age or written assent and parental consent if <18 years.
Exclusion Criteria:
- they have multidrug-resistant (MDR) TB (RIF resistance will be known at screening from Xpert MTB/RIF)
- they have a contra-indication to start on standard 4-drug therapy
- they are pregnant at study enrollment
- they are HIV seropositive for aim 2 only
Sites / Locations
- Worcester Community Day Centre
Arms of the Study
Arm 1
Arm Type
Other
Arm Label
DOT Adherence Monitoring
Arm Description
Daily adherence monitoring by study-employed directly observed therapy (DOT) worker on weekdays throughout the course of TB therapy
Outcomes
Primary Outcome Measures
Time to Culture Conversion
Time to sterilization/culture conversion during the first twelve weeks of treatment in patients with problem alcohol use compared to those without
Cmax
Peak concentrations (Cmax) of isoniazid, rifampin, pyrazinamide, and ethambutol in patients with problem alcohol use compared to those without
Area Under Curve (AUC)
Individual patient steady state 24-hour area under curve (AUC) of isoniazid, rifampin, pyrazinamide, and ethambutol
Secondary Outcome Measures
Poor Treatment Outcome
Risk of poor final TB outcomes (defined as treatment failure, death, or relapse) in patients with problem alcohol use compared to those without
Side Effects to TB Drugs
Percentage of patients who develop side effects to the TB drugs in patients with problem alcohol use compared to those without
Full Information
NCT ID
NCT02840877
First Posted
July 19, 2016
Last Updated
October 12, 2023
Sponsor
Boston Medical Center
Collaborators
Medical Research Council, South Africa, Boston University, University of Cape Town, National Institute of Allergy and Infectious Diseases (NIAID), University of Stellenbosch
1. Study Identification
Unique Protocol Identification Number
NCT02840877
Brief Title
The Impact of Alcohol Consumption on Tuberculosis Treatment Outcomes
Official Title
The Impact of Alcohol Consumption on Tuberculosis Treatment Outcomes
Study Type
Interventional
2. Study Status
Record Verification Date
October 2023
Overall Recruitment Status
Completed
Study Start Date
May 16, 2017 (Actual)
Primary Completion Date
June 28, 2022 (Actual)
Study Completion Date
October 12, 2023 (Actual)
3. Sponsor/Collaborators
Responsible Party, by Official Title
Sponsor
Name of the Sponsor
Boston Medical Center
Collaborators
Medical Research Council, South Africa, Boston University, University of Cape Town, National Institute of Allergy and Infectious Diseases (NIAID), University of Stellenbosch
4. Oversight
Studies a U.S. FDA-regulated Drug Product
No
Studies a U.S. FDA-regulated Device Product
No
Data Monitoring Committee
No
5. Study Description
Brief Summary
After HIV/AIDS, tuberculosis (TB) remains the second leading cause of death due to an infectious disease globally. Retrospective studies from many countries, including the United States and South Africa, have consistently reported that in addition to having a higher burden of TB disease, patients with problem alcohol use have worse TB treatment outcomes. This prospective study will attempt to clarify both behavioral and biologic causal mechanisms underlying the deleterious effects of problem alcohol use on TB treatment response.
Detailed Description
A major knowledge gap is the degree to which poor treatment outcomes in alcohol-abusing patients are due to noncompliance alone. Problem alcohol use impacts on retention in care and adherence to daily TB treatment. Poor medication adherence and increased default from TB care have been documented for patients consuming alcohol regularly in several countries. Yet there has been no research to identify reasons (beyond adherence) for these poorer outcomes among patients with problem alcohol use. A key barrier to understanding the persistent biologic effect of alcohol on TB disease is inadequate data on adherence, including detailed data on daily adherence (or number of missed doses of medication). Research combining better approaches to alcohol ascertainment and adherence monitoring is needed to advance understanding of the pathways by which alcohol use and TB disease interact.
Aim 1: To (i) examine the associations between problem alcohol use and TB treatment outcomes, and (ii) demonstrate that these associations persist independent of adherence to TB treatment.
Aim 2: To evaluate the effect of problem alcohol use on the pharmacokinetics (PK)/pharmacodynamics (PD) of TB drugs.
Aim 3: We will use existing samples and data and continue to collect samples and data to (A) evaluate Mtb diversity in host, its dynamics overtime and in a specific set of drug resistance, drug tolerance, virulence and immune regulator genes, for evidence of directional and diversifying selection. We will (B) also evaluate how Mtb diversity and genes under selection associate with time-to culture conversion (three consecutive weeks of negative growth) and negative treatment outcomes, adherence, HIV, diabetes mellitus (DM), and substance use. We will (C) leverage MIC and sequence data from TRUST. We will combine these with a large public Mtb MIC and WGS dataset enriched for high-level antibiotic resistance generated by studies that include the NIAID funded Harvard TB Centers of Excellence for Translational Research (CETR). We will train an in silico MIC predictor and probe interactions between mutations and the Mtb lineage on a genome-wide scale. The current TRUST investigators, as well as Dr. Maha Farhat, Harvard Medical School will oversee this aim.
Aim 4: A) To compare rates of dysglycemia (both hyperglycemia and hypoglycemia) in people living with HIV (PLWH) and HIV-uninfected persons receiving TB treatment in order to assess changes in blood glucose levels from study enrollment by HIV status and how alcohol use mediates the relationship; and B) to assess the role stress, inflammation and alcohol consumption play in relation to blood sugar levels in PLWH and HIV-uninfected individuals and to assess epigenetic modifications at DNA sites known to be involved in TB risk and neutrophil, monocyte, T and B cell function.
Culture-positive, pulmonary TB patients will be recruited in Worcester, South Africa, and followed over an 18-month period. Patients will complete an interviewer-administered questionnaire on their alcohol use and other health-related behaviors, and their recent alcohol use will be confirmed using a biomarker (phosphatidylethanol). Chest radiographs, sputum smears and culture, and blood samples will be collected to compare the biology of treatment response in patients with and without problem alcohol use. During the 6-month treatment period, smart mobile-phone technology will be used to document daily drug adherence by trained community workers. Serial measures of alcohol intake and serial sputa isolates will be collected to assess treatment response and TB drug side effects will be recorded. In addition, intensive PK/PD studies of isoniazid, rifampin, ethambutol, and pyrazinamide will be performed in 200 HIV-seronegative patients. The full cohort will be followed for 12 months post-treatment to examine long-term TB outcomes, including relapse and death.
6. Conditions and Keywords
Primary Disease or Condition Being Studied in the Trial, or the Focus of the Study
Tuberculosis, Alcohol Consumption, Treatment Adverse Effect
Keywords
tuberculosis culture, alcohol use
7. Study Design
Primary Purpose
Supportive Care
Study Phase
Not Applicable
Interventional Study Model
Single Group Assignment
Masking
None (Open Label)
Allocation
N/A
Enrollment
303 (Actual)
8. Arms, Groups, and Interventions
Arm Title
DOT Adherence Monitoring
Arm Type
Other
Arm Description
Daily adherence monitoring by study-employed directly observed therapy (DOT) worker on weekdays throughout the course of TB therapy
Intervention Type
Behavioral
Intervention Name(s)
DOT Adherence Monitoring
Intervention Description
Study participants will meet with a study-employed DOT worker daily during weekdays throughout the course of their TB treatment
Primary Outcome Measure Information:
Title
Time to Culture Conversion
Description
Time to sterilization/culture conversion during the first twelve weeks of treatment in patients with problem alcohol use compared to those without
Time Frame
12 weeks
Title
Cmax
Description
Peak concentrations (Cmax) of isoniazid, rifampin, pyrazinamide, and ethambutol in patients with problem alcohol use compared to those without
Time Frame
4 weeks
Title
Area Under Curve (AUC)
Description
Individual patient steady state 24-hour area under curve (AUC) of isoniazid, rifampin, pyrazinamide, and ethambutol
Time Frame
4 weeks
Secondary Outcome Measure Information:
Title
Poor Treatment Outcome
Description
Risk of poor final TB outcomes (defined as treatment failure, death, or relapse) in patients with problem alcohol use compared to those without
Time Frame
18 months
Title
Side Effects to TB Drugs
Description
Percentage of patients who develop side effects to the TB drugs in patients with problem alcohol use compared to those without
Time Frame
6 months
10. Eligibility
Sex
All
Minimum Age & Unit of Time
15 Years
Accepts Healthy Volunteers
No
Eligibility Criteria
Inclusion Criteria:
at least 15 years old
initiating TB treatment in South Africa
expect to remain in the local area for the next 2 years
agree to comply with all study requirements, including provision of contact information and attendance at all study appointments
provide written, informed consent to participate in the study if ≥18 years of age or written assent and parental consent if <18 years.
Exclusion Criteria:
they have multidrug-resistant (MDR) TB (RIF resistance will be known at screening from Xpert MTB/RIF)
they have a contra-indication to start on standard 4-drug therapy
they are pregnant at study enrollment
they are HIV seropositive for aim 2 only
Overall Study Officials:
First Name & Middle Initial & Last Name & Degree
Karen Jacobson, MD MPH
Organizational Affiliation
Boston Medical Center, Department of Medicine
Official's Role
Principal Investigator
Facility Information:
Facility Name
Worcester Community Day Centre
City
Worcester
State/Province
Western Cape Province
Country
South Africa
12. IPD Sharing Statement
Plan to Share IPD
No
Citations:
PubMed Identifier
34132642
Citation
Ragan EJ, Gill CJ, Banos M, Bouton TC, Rooney J, Horsburgh CR, Warren RM, Myers B, Jacobson KR. Directly Observed Therapy to Measure Adherence to Tuberculosis Medication in Observational Research: Protocol for a Prospective Cohort Study. JMIR Res Protoc. 2021 Jun 16;10(6):e24510. doi: 10.2196/24510.
Results Reference
derived
PubMed Identifier
30268101
Citation
Myers B, Bouton TC, Ragan EJ, White LF, McIlleron H, Theron D, Parry CDH, Horsburgh CR, Warren RM, Jacobson KR. Impact of alcohol consumption on tuberculosis treatment outcomes: a prospective longitudinal cohort study protocol. BMC Infect Dis. 2018 Sep 29;18(1):488. doi: 10.1186/s12879-018-3396-y.
Results Reference
derived
Learn more about this trial
The Impact of Alcohol Consumption on Tuberculosis Treatment Outcomes
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