TuberculosisNCT02840877
The Impact of Alcohol Consumption on Tuberculosis Treatment Outcomes
A study testing DOT Adherence Monitoring in people with Tuberculosis and Alcohol Consumption, run by Boston Medical Center at 1 site in South Africa.
Trial 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… Read more about this study
- Who is it for?
- Ages 15 years and older
- Conditions the study is for
- Tuberculosis, Alcohol Consumption, Treatment Adverse Effect
- What is being tested?
- DOT Adherence Monitoring
- Type of treatment
- Lifestyle or therapy programme
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 303 participants
- Where
- 1 siteSouth Africa
- Study dates
- 16 May 2017to 12 Oct 2023
- Phase
- Interventional
- Are there results?
- Yes, posted in the registrySummary in the doctors' view
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 15 years and older
- All sexes
- No healthy volunteers
- Child, Adult, Older adult
Who may be able to join
- 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.
Who cannot join
- 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
Trial locations and contacts
1 site in 1 country.
South Africa1 site
Worcester Community Day Centre
Worcester, Western Cape
About this study
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.
Read the 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.
- Conditions
- Tuberculosis, Alcohol Consumption, Treatment Adverse Effect
- Being tested
- DOT Adherence Monitoring
- Keywords
- tuberculosis culture, alcohol use
- Medical subject headings
- Tuberculosis, Alcohol Drinking
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
DOT Adherence MonitoringBehavioural
Study participants will meet with a study-employed DOT worker daily during weekdays throughout the course of their TB treatment
| Study group | Role | What they receive |
|---|---|---|
| DOT Adherence Monitoring | Other | Daily adherence monitoring by study-employed directly observed therapy (DOT) worker on weekdays throughout the course of TB therapy Receives: Behavioral: DOT Adherence Monitoring |
What is being measured
The primary outcome is the main question the study is designed to answer.
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
Measured: 12 weeks
Cmax
Peak concentrations (Cmax) of isoniazid, rifampin, pyrazinamide, and ethambutol in patients with problem alcohol use compared to those without
Measured: 4 weeks
Area Under Curve (AUC)
Individual patient steady state 24-hour area under curve (AUC) of isoniazid, rifampin, pyrazinamide, and ethambutol
Measured: 4 weeks
Secondary outcomes (2)
Poor Treatment Outcome
Number and percent of participants that had favorable (defined as cured, treatment completed) and unfavorable (defined as treatmentfailure, death, relapse) TB outcomes. The 'other' category is defined as the treatment defaulted, was extended, participant moved or was transferred).
Measured: 18 months
Side Effects to TB Drugs
Nember and percentage of patients who develop side effects to the TB drugs in patients with problem alcohol use compared to those without
Measured: 6 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted21 Jul 2016 (estimated)
- Study start16 May 2017
- Primary completion28 Jun 2022
- Study completion12 Oct 2023
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Posted resultsParticipant flow, outcome measures and adverse events reported by the sponsor.
- Publications (3)Papers the sponsor has linked to this study.
- Other trials for TuberculosisStudies of the same condition, open and under way.
- More trials run by Boston Medical CenterThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Interventional
- Phase
- Phase N/A
- Primary purpose
- Supportive care
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Enrolment
- 303 participants (actual)
Sponsor and investigators
- Lead sponsor
- Boston Medical Center
- Sponsor type
- University, hospital or other
- Collaborators
- Medical Research Council, South Africa, Boston University, University of Cape Town, National Institute of Allergy and Infectious Diseases (NIAID), University of Stellenbosch
- Responsible party
- Sponsor
- Investigators
- Karen Jacobson, MD MPH, Principal investigator, Boston Medical Center, Department of Medicine
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT02840877
- Sponsor's protocol ID
- H-34970
- Other IDs
- 1R01AI119037-01A1
- Status last verified
- Aug 2024
- First submitted
- 19 Jul 2016
- Last updated
- 27 Aug 2024
- Results posted
- Yes, on ClinicalTrials.gov
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
Overbeck V, Malatesta S, Carney T, Myers B, Parry CDH, Horsburgh CR, Theron D, White LF, Warren RM, Jacobson KR, Bouton TC. Understanding the impact of pandemics on long-term medication adherence: directly observed therapy in a tuberculosis treatment cohort pre- and post-COVID-19 lockdowns. BMC Infect Dis. 2024 Oct 14;24(1):1154. doi: 10.1186/s12879-024-09994-7.
PubMed 39396938Ragan 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.
PubMed 34132642Myers 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.
PubMed 30268101
Study at a glance
From the registry record, last updated by the sponsor on 27 Aug 2024. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- The Impact of Alcohol Consumption on Tuberculosis Treatment Outcomes
- ClinicalTrials.gov ID
- NCT02840877
- Acronym / sponsor ID
- H-34970
- Conditions
- Tuberculosis, Alcohol Consumption, Treatment Adverse Effect
- Keywords
- tuberculosis culture, alcohol use
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 303 participants (actual)
- Lead sponsor
- Boston Medical CenterUniversity, hospital or other
- Collaborators
- Medical Research Council, South Africa, Boston University, University of Cape Town, National Institute of Allergy and Infectious Diseases (NIAID), University of Stellenbosch
- Study start
- 16 May 2017 (actual)
- Primary completion
- 28 Jun 2022 (actual)
- Study completion
- 12 Oct 2023 (actual)
- First posted
- 21 Jul 2016 (estimated)
- Results
- Posted 14 Aug 2023
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
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.
Study design
- Primary purpose
- Supportive care
- Allocation
- Not applicable
- Intervention model
- Single group
- Masking
- None (open label)
- Number of arms
- 1
| Arm | Type | Receives |
|---|---|---|
| DOT Adherence Monitoring | Other | Behavioral: DOT Adherence MonitoringDaily adherence monitoring by study-employed directly observed therapy (DOT) worker on weekdays throughout the course of TB therapy |
Who may qualify
- Ages
- 15 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Child, Adult, Older adult
Key inclusion criteria (5 listed)
- 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.
Key exclusion criteria (4 listed)
- 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
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Interventions
| Intervention | Type | Arms |
|---|---|---|
| DOT Adherence MonitoringStudy participants will meet with a study-employed DOT worker daily during weekdays throughout the course of their TB treatment | Behavioural | DOT Adherence Monitoring |
Primary outcome
Time to Culture Conversion
Time frame: 12 weeks
Time to sterilization/culture conversion during the first twelve weeks of treatment in patients with problem alcohol use compared to those without
Cmax
Time frame: 4 weeks
Peak concentrations (Cmax) of isoniazid, rifampin, pyrazinamide, and ethambutol in patients with problem alcohol use compared to those without
Area Under Curve (AUC)
Time frame: 4 weeks
Individual patient steady state 24-hour area under curve (AUC) of isoniazid, rifampin, pyrazinamide, and ethambutol
2 secondary outcomes
Poor Treatment Outcome
Time frame: 18 months
Side Effects to TB Drugs
Time frame: 6 months
Results and safety
Loading the posted results from ClinicalTrials.gov…
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 27 Aug 2024.
- Posted resultsParticipant flow, baseline, all outcome measures and adverse events.
- Derived from this study: PubMed 39396938Overbeck V, Malatesta S, Carney T, Myers B, Parry CDH, Horsburgh CR, Theron D, White LF, Warren RM, Jacobson KR, Bouton TC. Understanding the impact of pandemics on long-term medication adherence: directly observed therapy in a tuberculosis treatment cohort pre- and post-COVID-19 lockdowns. BMC Infect Dis. 2024 Oct 14;24(1):1154. doi: 10.1186/s12879-024-09994-7.
- Derived from this study: PubMed 34132642Ragan 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.
- Derived from this study: PubMed 30268101Myers 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.
- Individual participant dataSharing planned: No
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Karen Jacobson, MD MPH principal investigator
Boston Medical Center, Department of Medicine
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing DOT Adherence Monitoring in people with Tuberculosis and Alcohol Consumption, run by Boston Medical Center at 1 site in South Africa.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 5 inclusion and 4 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: finished, as of the sponsor's last update on 27 Aug 2024. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in South Africa. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Yes. Results are posted in the registry (first posted 14 Aug 2023). A summary is in the For doctors view, and the full results are on ClinicalTrials.gov.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Time to Culture Conversion (time frame: 12 weeks). The study lists 3 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT02840877, which also lists 3 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 27 Aug 2024.