The Impact of Alcohol Consumption on Tuberculosis Treatment Outcomes

NCT ID: NCT02840877

Last Updated: 2024-08-27

Study Results

Results available

Outcome measurements, participant flow, baseline characteristics, and adverse events have been published for this study.

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Basic Information

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Recruitment Status

COMPLETED

Clinical Phase

NA

Total Enrollment

303 participants

Study Classification

INTERVENTIONAL

Study Start Date

2017-05-16

Study Completion Date

2023-10-12

Brief Summary

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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

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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

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Tuberculosis Alcohol Consumption Treatment Adverse Effect

Study Design

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Allocation Method

NA

Intervention Model

SINGLE_GROUP

Primary Study Purpose

SUPPORTIVE_CARE

Blinding Strategy

NONE

Study Groups

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DOT Adherence Monitoring

Daily adherence monitoring by study-employed directly observed therapy (DOT) worker on weekdays throughout the course of TB therapy

Group Type OTHER

DOT Adherence Monitoring

Intervention Type BEHAVIORAL

Study participants will meet with a study-employed DOT worker daily during weekdays throughout the course of their TB treatment

Interventions

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DOT Adherence Monitoring

Study participants will meet with a study-employed DOT worker daily during weekdays throughout the course of their TB treatment

Intervention Type BEHAVIORAL

Eligibility Criteria

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Inclusion Criteria

1. at least 15 years old
2. initiating TB treatment in South Africa
3. expect to remain in the local area for the next 2 years
4. agree to comply with all study requirements, including provision of contact information and attendance at all study appointments
5. 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

1. they have multidrug-resistant (MDR) TB (RIF resistance will be known at screening from Xpert MTB/RIF)
2. they have a contra-indication to start on standard 4-drug therapy
3. they are pregnant at study enrollment
4. they are HIV seropositive for aim 2 only
Minimum Eligible Age

15 Years

Eligible Sex

ALL

Accepts Healthy Volunteers

No

Sponsors

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Medical Research Council, South Africa

OTHER

Sponsor Role collaborator

Boston University

OTHER

Sponsor Role collaborator

University of Cape Town

OTHER

Sponsor Role collaborator

National Institute of Allergy and Infectious Diseases (NIAID)

NIH

Sponsor Role collaborator

University of Stellenbosch

OTHER

Sponsor Role collaborator

Boston Medical Center

OTHER

Sponsor Role lead

Responsible Party

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Responsibility Role SPONSOR

Principal Investigators

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Karen Jacobson, MD MPH

Role: PRINCIPAL_INVESTIGATOR

Boston Medical Center, Department of Medicine

Locations

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Worcester Community Day Centre

Worcester, Western Cape, South Africa

Site Status

Countries

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South Africa

References

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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.

Reference Type DERIVED
PMID: 39396938 (View on PubMed)

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.

Reference Type DERIVED
PMID: 34132642 (View on PubMed)

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.

Reference Type DERIVED
PMID: 30268101 (View on PubMed)

Provided Documents

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Document Type: Study Protocol and Statistical Analysis Plan

View Document

Document Type: Informed Consent Form

View Document

Other Identifiers

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1R01AI119037-01A1

Identifier Type: NIH

Identifier Source: secondary_id

View Link

H-34970

Identifier Type: -

Identifier Source: org_study_id

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