Tuberculosis, PulmonaryPredicTBNCT05122624
A Clinical Risk Score for Early Management of TB in Uganda
A study testing PredicTB score in people with Tuberculosis, Pulmonary, run by Johns Hopkins Bloomberg School of Public Health at 1 site in Uganda.
Trial summary
Although curative treatment exists, tuberculosis (TB) remains the leading cause of infectious mortality worldwide - often because people seek care for TB symptoms in highly resource-constrained clinics that cannot provide same-day diagnostic testing. Read more about this study
- Who is it for?
- Ages 15 years and older
- Conditions the study is for
- Tuberculosis, Pulmonary
- What is being tested?
- PredicTB score
- Could I receive a placebo?
- No, everyone receives an active treatment
- How many people
- 3,332 participants
- Where
- 1 siteUganda
- Study dates
- 10 Nov 2021to 29 Feb 2024
- 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
- All adult patients submitting sputum for a new diagnosis of pulmonary TB in the four study clinics and four comparison clinics between month -6 and month 18 will have their records abstracted by study staff.
- Starting in the 13th month after PredicTB implementation (i.e., after the 12-month post-implementation period has ended), study staff will position themselves in the four study clinics for purposes of recruiting and enrolling adult patients submitting sputum for a new diagnosis of pulmonary TB. No exclusions will be made except for age (as above), and we will seek to enroll all consecutive patients until our target sample size (25 participants per clinic, total n = 100) has been reached.
Who cannot join
- Age < 15 years old
Trial locations and contacts
1 site in 1 country.
About this study
Official title: PredicTB: Validating a Clinical Risk Score for Early Management of Tuberculosis in Ugandan Primary Health Clinics
Although curative treatment exists, tuberculosis (TB) remains the leading cause of infectious mortality worldwide - often because people seek care for TB symptoms in highly resource-constrained clinics that cannot provide same-day diagnostic testing. The research team has developed an easy-to-use clinical risk score that, if implemented in these settings, might help clinicians identify patients at high risk for TB and thereby start treatment for those patients on the same day. This study will investigate the effectiveness and implementation of this score in four peri-urban clinics in Uganda, providing critical pragmatic data to inform (or halt) the design of a definitive large-scale cluster randomized trial.
Read the detailed description
An estimated 1.5 million people die of tuberculosis (TB) every year. Many of these are people who seek care in under-resourced clinics (for example, in rural areas or informal settlements) where same-day TB diagnosis is not available. These patients are often unable to return promptly to receive their results and start treatment, resulting in ongoing disease transmission and often death. If TB treatment could be started on the same day as these patients initially seek care, substantial mortality and transmission could be averted. The research team has developed and validated a clinical risk score ("PredicTB") for adult pulmonary TB that could aid in clinical decision-making. This risk score ranges from 1-10, can be calculated by hand in under a minute using readily available clinical data (e.g., age, sex, self-reported HIV status), and has sufficiently high accuracy to inform decisions about same-day empiric treatment initiation while confirmatory test results are pending. Same-day treatment initiation improves patient outcomes for other infectious diseases (for example, sexually transmitted diseases including HIV), and this novel clinical risk score holds similar promise for TB, the leading cause of infectious mortality worldwide. However, before conducting a large-scale cluster randomized trial to evaluate whether this score could improve patient-important outcomes, it is critical to first generate evidence that this score could be effective and be implemented in the most-resource-limited settings for which it is intended.
The research team proposes a type 2 hybrid effectiveness-implementation evaluation of the PredicTB clinical risk score in four peri-urban clinics in Uganda, with an additional four clinics serving as a comparison group. The Specific Aims are to evaluate the effectiveness of PredicTB on clinical outcomes including rapid treatment initiation, TB mortality, and loss to care (Aim 1); to evaluate the implementation of PredicTB in terms of reach, adoption, implementation, and maintenance (Aim 2); and the project the long-term impact and cost-effectiveness of PredicTB implementation (Aim 3). The primary outcome is the increase in the proportion of patients with microbiologically confirmed TB who start treatment within seven days of initial presentation. To accomplish these aims, the research team will adopt a highly pragmatic study design in which the research team train clinicians in the use of the PredicTB score and perform quarterly site visits but otherwise minimize contact between study staff and treating clinicians. This will enable the research team to evaluate whether implementation of PredicTB is likely to impact clinical decision-making and patient outcomes under actual field settings. If successful, this evaluation will provide critical data to justify (or halt) the conduct of a large-scale pragmatic clinical trial - not only will it generate preliminary evidence of effectiveness, but it will also inform appropriate implementation. Patients in highly resource-constrained settings are at the greatest risk of suffering the ill effects of TB disease, including long-term morbidity and death. This study represents an important first step toward improving clinical management for these marginalized patients and thus toward reaching global targets for ending the TB epidemic.
- Conditions
- Tuberculosis, Pulmonary
- Being tested
- PredicTB score
- Medical subject headings
- Tuberculosis, Pulmonary
What participants receive
What participants receive. In a randomised study each person is assigned to one group by chance.
PredicTB scoreOther
This is an easy-to-use clinical risk score designed to improve early management of tuberculosis in highly resource-constrained settings where same-day microbiological testing is unavailable. It consists of readily accessible demographic and clinical data and is scored from 1-10.
We will train clinic staff in eight clinics (four study clinics and four comparison clinics) on the Ugandan standard of care for the diagnosis and treatment of TB. In addition, in the four study clinics, we will provide training on the PredicTB score.
| Study group | Role | What they receive |
|---|---|---|
| Score intervention arm | Experimental | The PredicTB score will be implemented in this arm. Receives: Other: PredicTB score |
| Control arm | No intervention | The standard of care will be conducted in this arm. |
What is being measured
The primary outcome is the main question the study is designed to answer.
Difference in 7-day Treatment Initiation From Pre-implementation to Post-implementation
The percentage of participants with microbiologically confirmed TB who initiated treatment within 7 days during post-implementation 'minus' The percentage of participants with microbiologically confirmed TB who initiated treatment within 7 days during pre-implementation
Measured: Up to 12 months post intervention
Implementation: Percentage of Encountered Patients at Intervention Arm Who Initiated the Same-day Treatment Based on PredicTB Score as Indicated
Percentage of patients who initiated same-day treatment divided by the number of patients who had a higher PredicTB score than the clinic-specific score of treatment threshold in the post-implementation period in intervention arm
Measured: Up to 12 months
Secondary outcomes (8)
Incremental Cost-effectiveness of PredicTB
(cost of implementing PredicTB - cost of standard of care)/(projected disability-adjusted life years (DALYs) in standard of care - projected DALYs with PredicTB)
Measured: Months 0 - 12
Difference in TB Mortality From Pre-implementation to Post-implementation
The percentage of participants with microbiologically confirmed TB who died of any cause in the post-implementation "minus" The percentage of participants with microbiologically confirmed TB who died of any cause in the pre-implementation
Measured: 12 Months
Difference in Loss to Care From Pre-implementation To Post-implementation
The percentage of participants with microbiologically confirmed TB who were lost to follow-up in the post-implementation "minus" The percentage of participants with microbiologically confirmed TB who were lost to follow-up in the pre-implementation
Measured: 12 Months
Difference in Percentage of Participants With Microbiologically Confirmed TB
Difference in the percentage of participants with microbiologically confirmed TB who initiated treatment within 7 days from post-implementation to pre-implementation at intervention arm "minus" Difference in the percentage of participants with microbiologically confirmed TB who initiated treatment within 7 days from post-implementation to pre-implementation at comparison arm
Measured: Up to 12 months post-implementation
Reach: Percentage of Patients Who Were Administered (or Evaluated) by PredicTB Score
Percentage of patients who were administered (or evaluated) by PredicTB score among those who presented presumptive TB symptoms at clinics in the post-implementation period in intervention arm
Measured: Up to 12 months
Adoption: Percentage of Providers Adopting PredicTB
Percentage of providers using PredicTB in over 50% of encounters in which sputum is submitted for pulmonary TB diagnosis among those seeing >5 patients who submit sputum for diagnosis of pulmonary TB
Measured: Month 18
Maintenance: Change in Effectiveness Over Time in the Post-implementation Phase at Intervention Arm
Percentage of participants with microbiologically confirmed TB who initiated treatment within seven days in the post-implementation phase at intervention arm "minus" Percentage of participants with microbiologically confirmed TB who initiated treatment within seven days in the post-implementation phase at intervention arm
Measured: Up to 12 months
Modeled Changes in 5-year Mortality With PredicTB
Modeled hypothetical, expected changes in mortality at year 5, comparing simulations in which PredicTB is implemented to those in which PredicTB is not implemented, using a Markov state-transition model
Measured: Month 12
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted17 Nov 2021
- Study start10 Nov 2021
- Primary completion15 Jul 2023
- Study completion29 Feb 2024
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 (1)Papers the sponsor has linked to this study.
- Other trials for Tuberculosis, PulmonaryStudies of the same condition, open and under way.
- More trials run by Johns Hopkins Bloomberg School of Public HealthThe 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
- Diagnosis
- Allocation
- Non-randomised
- Intervention model
- Parallel groups
- Model description
- The study includes an intervention arm (four clinics) and a control arm (four clinics).
- Masking
- None (open label)
- Enrolment
- 3,332 participants (actual)
Sponsor and investigators
- Lead sponsor
- Johns Hopkins Bloomberg School of Public Health
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor
- Investigators
- David W Dowdy, MD/PHD, Principal investigator, Johns Hopkins Bloomberg School of Public Health
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05122624
- Sponsor's protocol ID
- R21AI161301
- Other IDs
- R21AI161301, IRB00015699
- Acronym
- PredicTB
- Status last verified
- Jun 2024
- First submitted
- 1 Nov 2021
- Last updated
- 23 Jul 2024
- Results posted
- Yes, on ClinicalTrials.gov
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- No
Publications
Baik Y, Musoke M, Twinamasiko A, Lamunu M, Nabacwa V, Sanyu A, Robsky KO, Sung J, Kityamuwesi A, Katamba A, Dowdy DW. Effectiveness and Implementation of a Clinical Risk Score for Early Diagnosis of Tuberculosis in Uganda: A Pragmatic, Clustered Randomization Clinical Trial. Ann Am Thorac Soc. 2025 Oct;22(10):1476-1483. doi: 10.1513/AnnalsATS.202404-422OC.
PubMed 40587503
Study at a glance
From the registry record, last updated by the sponsor on 23 Jul 2024. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- PredicTB: Validating a Clinical Risk Score for Early Management of Tuberculosis in Ugandan Primary Health Clinics
- ClinicalTrials.gov ID
- NCT05122624
- Acronym / sponsor ID
- PredicTB / R21AI161301
- Conditions
- Tuberculosis, Pulmonary
- Study type
- Interventional
- Recruitment status
- Completed
- Enrolment
- 3,332 participants (actual)
- Lead sponsor
- Johns Hopkins Bloomberg School of Public HealthUniversity, hospital or other
- Collaborators
- National Institute of Allergy and Infectious Diseases (NIAID)
- Study start
- 10 Nov 2021 (actual)
- Primary completion
- 15 Jul 2023 (actual)
- Study completion
- 29 Feb 2024 (actual)
- First posted
- 17 Nov 2021 (actual)
- Results
- Posted 23 Jul 2024
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
Although curative treatment exists, tuberculosis (TB) remains the leading cause of infectious mortality worldwide - often because people seek care for TB symptoms in highly resource-constrained clinics that cannot provide same-day diagnostic testing. The research team has developed an easy-to-use clinical risk score that, if implemented in these settings, might help clinicians identify patients at high risk for TB and thereby start treatment for those patients on the same day. This study will investigate the effectiveness and implementation of this score in four peri-urban clinics in Uganda, providing critical pragmatic data to inform (or halt) the design of a definitive large-scale cluster randomized trial.
Detailed description
An estimated 1.5 million people die of tuberculosis (TB) every year. Many of these are people who seek care in under-resourced clinics (for example, in rural areas or informal settlements) where same-day TB diagnosis is not available. These patients are often unable to return promptly to receive their results and start treatment, resulting in ongoing disease transmission and often death. If TB treatment could be started on the same day as these patients initially seek care, substantial mortality and transmission could be averted. The research team has developed and validated a clinical risk score ("PredicTB") for adult pulmonary TB that could aid in clinical decision-making. This risk score ranges from 1-10, can be calculated by hand in under a minute using readily available clinical data (e.g., age, sex, self-reported HIV status), and has sufficiently high accuracy to inform decisions about same-day empiric treatment initiation while confirmatory test results are pending. Same-day treatment initiation improves patient outcomes for other infectious diseases (for example, sexually transmitted diseases including HIV), and this novel clinical risk score holds similar promise for TB, the leading cause of infectious mortality worldwide. However, before conducting a large-scale cluster randomized trial to evaluate whether this score could improve patient-important outcomes, it is critical to first generate evidence that this score could be effective and be implemented in the most-resource-limited settings for which it is intended.
The research team proposes a type 2 hybrid effectiveness-implementation evaluation of the PredicTB clinical risk score in four peri-urban clinics in Uganda, with an additional four clinics serving as a comparison group. The Specific Aims are to evaluate the effectiveness of PredicTB on clinical outcomes including rapid treatment initiation, TB mortality, and loss to care (Aim 1); to evaluate the implementation of PredicTB in terms of reach, adoption, implementation, and maintenance (Aim 2); and the project the long-term impact and cost-effectiveness of PredicTB implementation (Aim 3). The primary outcome is the increase in the proportion of patients with microbiologically confirmed TB who start treatment within seven days of initial presentation. To accomplish these aims, the research team will adopt a highly pragmatic study design in which the research team train clinicians in the use of the PredicTB score and perform quarterly site visits but otherwise minimize contact between study staff and treating clinicians. This will enable the research team to evaluate whether implementation of PredicTB is likely to impact clinical decision-making and patient outcomes under actual field settings. If successful, this evaluation will provide critical data to justify (or halt) the conduct of a large-scale pragmatic clinical trial - not only will it generate preliminary evidence of effectiveness, but it will also inform appropriate implementation. Patients in highly resource-constrained settings are at the greatest risk of suffering the ill effects of TB disease, including long-term morbidity and death. This study represents an important first step toward improving clinical management for these marginalized patients and thus toward reaching global targets for ending the TB epidemic.
Study design
- Primary purpose
- Diagnosis
- Allocation
- Non-randomised
- Intervention model
- Parallel groups
- Masking
- None (open label)
- Number of arms
- 2
- Model description
- The study includes an intervention arm (four clinics) and a control arm (four clinics).
| Arm | Type | Receives |
|---|---|---|
| Score intervention arm | Experimental | Other: PredicTB scoreThe PredicTB score will be implemented in this arm. |
| Control arm | No intervention | –The standard of care will be conducted in this arm. |
Who may qualify
- Ages
- 15 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Child, Adult, Older adult
Key inclusion criteria (2 listed)
- All adult patients submitting sputum for a new diagnosis of pulmonary TB in the four study clinics and four comparison clinics between month -6 and month 18 will have their records abstracted by study staff.
- Starting in the 13th month after PredicTB implementation (i.e., after the 12-month post-implementation period has ended), study staff will position themselves in the four study clinics for purposes of recruiting and enrolling adult patients submitting sputum for a new diagnosis of pulmonary TB. No exclusions will be made except for age (as above), and we will seek to enroll all consecutive patients until our target sample size (25 participants per clinic, total n = 100) has been reached.
Key exclusion criteria (1 listed)
- Age < 15 years old
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 |
|---|---|---|
| PredicTB scoreThis is an easy-to-use clinical risk score designed to improve early management of tuberculosis in highly resource-constrained settings where same-day microbiological testing is unavailable. It consists of readily accessible demographic and clinical data and is scored from 1-10. We will train clinic staff in eight clinics (four study clinics and four comparison clinics) on the Ugandan standard of care for the diagnosis and treatment of TB. In addition, in the four study clinics, we will provide training on the PredicTB score. | Other | Score intervention arm |
Primary outcome
Difference in 7-day Treatment Initiation From Pre-implementation to Post-implementation
Time frame: Up to 12 months post intervention
The percentage of participants with microbiologically confirmed TB who initiated treatment within 7 days during post-implementation 'minus' The percentage of participants with microbiologically confirmed TB who initiated treatment within 7 days during pre-implementation
Implementation: Percentage of Encountered Patients at Intervention Arm Who Initiated the Same-day Treatment Based on PredicTB Score as Indicated
Time frame: Up to 12 months
Percentage of patients who initiated same-day treatment divided by the number of patients who had a higher PredicTB score than the clinic-specific score of treatment threshold in the post-implementation period in intervention arm
8 secondary outcomes
Incremental Cost-effectiveness of PredicTB
Time frame: Months 0 - 12
Difference in TB Mortality From Pre-implementation to Post-implementation
Time frame: 12 Months
Difference in Loss to Care From Pre-implementation To Post-implementation
Time frame: 12 Months
Difference in Percentage of Participants With Microbiologically Confirmed TB
Time frame: Up to 12 months post-implementation
Reach: Percentage of Patients Who Were Administered (or Evaluated) by PredicTB Score
Time frame: Up to 12 months
Adoption: Percentage of Providers Adopting PredicTB
Time frame: Month 18
Maintenance: Change in Effectiveness Over Time in the Post-implementation Phase at Intervention Arm
Time frame: Up to 12 months
Modeled Changes in 5-year Mortality With PredicTB
Time frame: Month 12
Results and safety
Loading the posted results from ClinicalTrials.gov…
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 23 Jul 2024.
- Posted resultsParticipant flow, baseline, all outcome measures and adverse events.
- Derived from this study: PubMed 40587503Baik Y, Musoke M, Twinamasiko A, Lamunu M, Nabacwa V, Sanyu A, Robsky KO, Sung J, Kityamuwesi A, Katamba A, Dowdy DW. Effectiveness and Implementation of a Clinical Risk Score for Early Diagnosis of Tuberculosis in Uganda: A Pragmatic, Clustered Randomization Clinical Trial. Ann Am Thorac Soc. 2025 Oct;22(10):1476-1483. doi: 10.1513/AnnalsATS.202404-422OC.
- 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.
David W Dowdy, MD/PHD principal investigator
Johns Hopkins Bloomberg School of Public Health
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
A study testing PredicTB score in people with Tuberculosis, Pulmonary, run by Johns Hopkins Bloomberg School of Public Health at 1 site in Uganda.
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 2 inclusion and 1 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 23 Jul 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 Uganda. 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 23 Jul 2024). 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?
Difference in 7-day Treatment Initiation From Pre-implementation to Post-implementation (time frame: Up to 12 months post intervention). The study lists 2 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 NCT05122624, which also lists 1 linked publication.
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 23 Jul 2024.