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 .
See this in plain English?
AI-rewrites the medical criteria so a patient or caregiver can understand them. Always confirm with the trial site.
Sensitivity and specificity of new diagnostics to diagnose co-prevalent TB against a clinica/microbiological reference standard case definition
Timeframe: 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
Timeframe: 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
Timeframe: TB disease can be diagnosed through study completion, up to Month 24