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| ID | Type | Description | Link |
|---|---|---|---|
| 1R01AI119037-01A1 | U.S. NIH Grant/Contract | View source |
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| Name | Class |
|---|---|
| Medical Research Council, South Africa | OTHER |
| Boston University | OTHER |
| University of Cape Town | OTHER |
| National Institute of Allergy and Infectious Diseases (NIAID) |
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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.
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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| DOT Adherence Monitoring | Other | Daily adherence monitoring by study-employed directly observed therapy (DOT) worker on weekdays throughout the course of TB therapy |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| DOT Adherence Monitoring | Behavioral | Study participants will meet with a study-employed DOT worker daily during weekdays throughout the course of their TB treatment |
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| Measure | Description | Time Frame |
|---|---|---|
| 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 | 12 weeks |
| Cmax | Peak concentrations (Cmax) of isoniazid, rifampin, pyrazinamide, and ethambutol in patients with problem alcohol use compared to those without | 4 weeks |
| Area Under Curve (AUC) | Individual patient steady state 24-hour area under curve (AUC) of isoniazid, rifampin, pyrazinamide, and ethambutol | 4 weeks |
| Measure | Description | Time Frame |
|---|---|---|
| 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). | 18 months |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Karen Jacobson, MD MPH | Boston Medical Center, Department of Medicine | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Worcester Community Day Centre | Worcester | Western Cape | South Africa |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 39396938 | Derived | 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. | |
| 34132642 | Derived | 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. |
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| ID | Title | Description |
|---|---|---|
| FG000 | TRUST Cohort | TRUST Study Cohort |
| Title | Milestones | Reasons Not Completed | ||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Baseline to 12 Weeks |
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| 12 Weeks to 6 Months |
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| 6 Months to 18 Months |
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| ID | Title | Description |
|---|---|---|
| BG000 | TRUST Cohort | TRUST Study Cohort |
| Units | Counts |
|---|---|
| Participants |
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| Title | Description | Population Description | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Denominator Units Selected | Denominators | Classes |
|---|---|---|---|---|---|---|---|---|---|
| Age, Continuous | Median |
| Type | Title | Description | Population Description | Reporting Status | Anticipated Posting Date | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Time Frame | Units Analyzed | Denominator Units Selected | Arm/Group Information | Denominators | Classes | Analyses | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Primary | 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 | Individuals newly diagnosed with tuberculosis and initiating treatment were classified at baseline into either Low Alcohol Use (n=102), Moderate Alcohol Use (n=133), and High Alcohol Use (n=65). 3 participants were missing data on alcohol use as their baseline PEth tests were water damaged. Therefore the overall number of participants analyzed was 300 and the respective number of participants for each of the 3 levels of alcohol use are provided as just described. | Posted | Mean | Standard Deviation | weeks | 12 weeks |
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18 months
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| ID | Title | Description | Deaths (Affected) | Deaths (At Risk) | Serious Events (Affected) | Serious Events (At Risk) | Other Events (Affected) | Other Events (At Risk) |
|---|---|---|---|---|---|---|---|---|
| EG000 | TRUST Cohort | TRUST Study Cohort | 8 |
| Term | Organ System | Source Vocabulary | Assessment Type | Notes | Statistical Information |
|---|---|---|---|---|---|
| Participant death | General disorders | Non-systematic Assessment | These deaths were unexpected and all were investigated and deemed unrelated to study participation. Total count may increase as 49 participants are still enrolled in the study. |
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| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| Karen Jacobson, MD MPH | Boston Medical Center | 617-414-5213 | karen.jacobson@bmc.org |
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| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot_SAP | Yes | Yes | No | Study Protocol and Statistical Analysis Plan | Sep 6, 2022 | Apr 18, 2023 | Prot_SAP_000.pdf |
| ICF | No | No | Yes | Informed Consent Form | Oct 24, 2022 | Oct 17, 2023 | ICF_001.pdf |
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| ID | Term |
|---|---|
| D014376 | Tuberculosis |
| D000428 | Alcohol Drinking |
| ID | Term |
|---|---|
| D009164 | Mycobacterium Infections |
| D000193 | Actinomycetales Infections |
| D016908 | Gram-Positive Bacterial Infections |
| D001424 | Bacterial Infections |
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| NIH |
| University of Stellenbosch | OTHER |
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| 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 |
| 6 months |
| 30268101 | Derived | 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. |
| Death |
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| Changed treatment regimen, no longer on first line drugs. |
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| Treatment extended due to bacterial meningitis. |
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| years |
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| Sex: Female, Male | Count of Participants | Participants |
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| Race/Ethnicity, Customized | Count of Participants | Participants |
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| Region of Enrollment | Number | participants |
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| Units | Counts |
|---|---|
| Participants |
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| Primary | Cmax | Peak concentrations (Cmax) of isoniazid, rifampin, pyrazinamide, and ethambutol in patients with problem alcohol use compared to those without | Cmax outcome measure data was collected for 104 study participants who were enrolled into Aim 2 for pharmacokinetic/pharmacodynamic analysis. This measure was collected for 4 first-line TB medications: rifampicin, isoniazid, pyrazinamide, and ethambutol. | Posted | Median | Inter-Quartile Range | mg/L | 4 weeks |
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| Primary | Area Under Curve (AUC) | Individual patient steady state 24-hour area under curve (AUC) of isoniazid, rifampin, pyrazinamide, and ethambutol | AUC outcome measure data was collected for 104 study participants who were enrolled into Aim 2 for pharmacokinetic/pharmacodynamic analysis. This measure was collected for 4 first-line TB medications: rifampin, isoniazid, pyrazinamide, and ethambutol. | Posted | Median | Inter-Quartile Range | mg x h/L | 4 weeks |
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| Secondary | 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). | 3 individuals were excluded from overall numbers (total N=303) because they didn't have baseline Peth collected, so there did not have alcohol use data. | Posted | Count of Participants | Participants | 18 months |
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| Secondary | 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 | 3 individuals were excluded from overall numbers (total N=303) because they didn't have baseline Peth collected, so they did not have alcohol use data | Posted | Count of Participants | Participants | 6 months |
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| 303 |
| 10 |
| 303 |
| 0 |
| 303 |
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| Participant coughing up blood during transport | General disorders | Non-systematic Assessment | Participant was referred to care and hospitalized. The incident was not related to study procedures. Total count may increase as 49 participants are still enrolled in the study. |
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| Ineligible participant enrolled | Investigations | Non-systematic Assessment | The participant was found to have extra-pulmonary TB during the enrollment visit, making them ineligible for the study. They were withdrawn and their samples were destroyed. Total count may increase as 49 participants are still enrolled in the study. |
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| D001423 | Bacterial Infections and Mycoses |
| D007239 | Infections |
| D004327 | Drinking Behavior |
| D001519 | Behavior |
| Title | Measurements |
|---|---|
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| Ethambutol |
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| Title | Measurements |
|---|---|
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| Ethambutol |
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| Title | Measurements |
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| Missing |
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