The ERASE - TB study will be conducted in order to fill a critical unmet need for tuberculosis control. Persons who are in contact with an infectious TB case may become infected themselves. Among those who are infected, most will stay healthy but some will develop TB themselves. These people would benefit from preventive treatment, which would also stop TB from being spread to other persons. The problem currently is that it is impossible to determine with certainty who would require preventive treatment, and who will remain healthy. Out of 100 persons exposed to an infectious TB patient, only 2 will go on to have TB according to a study in Vietnam, but there are no good tests available to identify those with a risk for TB disease. Treating 100 persons to prevent 2 cases of TB is not effective, so preventive treatment is not used in adults and adolescents in Tanzania, Mozambique and Zimbabwe, where this study will be conducted, but also in many other settings. The ERASE - TB project will evaluate a number of newly developed diagnostic tests, to see which of those will be able to predict TB in persons at risk, and therefore steer preventive treatment well. For this, the investigators will invite 2,100 household contacts (HHC) of infectious TB patients, who are at least 10 years old, into the study. Everyone will be examined initially, and again in regular intervals, for 1.5 to 2 years; and whenever the participants will present with symptoms that could indicate that they develop TB. At every visit, the investigators will perform an X-ray and take some blood and urine samples to perform new candidate tests. At the first/baseline visit, all household contacts without TB will undergo a spirometry to evaluate their pulmonary function. If someone is unwell, the investigators will also examine sputum for the presence of TB bacilli. In the end, the investigators will then be able to say who of the persons in the study developed TB, and who remained healthy. From all samples taken at different timepoints, the investigators will then determine which test found TB early, and clearly distinguished between persons developing TB, and persons who would remain healthy .
Study Type
OBSERVATIONAL
Enrollment
2,100
The following new diagnostic tests will be done after the completion of the study with the samples (blood, sputum, urine) and data (digital X-ray) obtained during the study period: CAD4TB / qXR Xpert Ultra® FLOW-TB TAM-TB 4RISK and COR Cepheid 3-gene signature cartridge BioMérieux ISIT TB blood transcription signature assay Multiplex LSHTM in-house host biomarker assay TB Screen biosignature SeroSelect Retrospective testing of participants' samples and data acquired during the study period, differentiated between participants with co-prevalent/incipient TB and participants staying health throughout the trial
Instituto Nacional de Saúde (INS) Centro de Investigação e Treino em Saúde da Polana Caniço
Maputo, Mozambique
NIMR - Mbeya Medical Research Centre
Mbeya, Tanzania
Biomedical Research & Training Institute (BRTI)
Harare, Zimbabwe
Sensitivity and specificity of new diagnostics to diagnose co-prevalent TB against a clinica/microbiological reference standard case definition
to determine sensitivity and specificity of new diagnostics for diagnosing TB earlier with a special focus on subclinical disease. New diagnostics will be evaluated against a reference standard for classification of presence of, or development of TB disease in a person exposed to a source case; with the following possibilities: * Co--prevalent symptomatic TB * Co--prevalent subclinical TB * Minimal TB, with incident TB during follow-up * Remained healthy
Time frame: Co-prevalent TB disease can be diagnosed at Baseline (Month 0)
Evaluation of novel diagnostics for detection of developing, minimal TB against a clinica/microbiological reference standard case definition
to evaluate novel diagnostics for detection of developing, minimal TB that would cause infectious disease in the future. For reference standard case classification, see 1.
Time frame: TB disease can be diagnosed through study completion, up to Month 24
Enhancement of diagnostic performance by simulating testing algorithms coupled with a risk estimate from a mathematical model
to enhance diagnostic performance by simulating testing algorithms coupled with a risk estimate from a mathematical model For reference standard case classification, see 1.
Time frame: TB disease can be diagnosed through study completion, up to Month 24
M.tb infection status as measured by an immunological assay
M.tb infection status as measured by an immunological assay: * M.tb infected at baseline * M.tb uninfected at baseline through to end of study * Change of M.tb infection status from negative (baseline) to positive during follow-up
Time frame: through study completion, up to Month 24
Classification of cases of co-prevalent or incident TB; through M.tb isolate sequencing and comparison with the source case isolate
Classification of cases of co-prevalent or incident TB; through M.tb isolate sequencing and comparison with the source case isolate: * Secondary, infected by source case - defined timepoint of infection * Other, unknown source of infection - unknown timepoint of infection
Time frame: through study completion, up to Month 24
Assessment of the proportion of HHC (without co-prevalent TB) with abnormal pulmonary function at baseline
to assess the proportion of HHC (without co-prevalent TB) with abnormal pulmonary function at baseline, the type and severity of impairments, the relationship between pre-existing abnormal pulmonary function and incident TB (and the changes in pulmonary function measured by spirometry after incident TB and TB treatment completion).
Time frame: Spirometry will be done only at baseline
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