View clinical trials related to Tuberculosis.
Filter by:COVID-19 has emerged as global pandemic during the past few months, with an unprecedented impact on public health, and society more generally. Virus epidemiology is poorly understood, as are factors influencing the diverse clinical picture. To date most cases have been seen in high income countries and consequently COVID-19 diagnostics and research have mainly been set-up in these settings. Outstanding questions include an understanding of how the virus spreads and how it causes pathology. A particular gap in current knowledge is the effect of HIV and tuberculosis (TB) on the outcomes of COVID-19 disease as these two conditions impair the host immune response to other infectious disease. Understanding how these three pandemics interact is crucial. We have developed a proposal that will answer critical questions concerning COVID-19 disease epidemiology in the context of low resource countries with high burden of poverty, and in the presence of high rates of TB and HIV, namely, Namibia and Botswana. Given that there are currently few cases of COVID-19 diagnosed in both countries, the project will document how the virus spreads within susceptible populations. The development of this proposal is highly collaborative and interdisciplinary, with investigators from Namibia and Botswana working closely with colleagues in Europe. We will also work with an NGO in Namibia, Health Poverty Action, to support rapid implementation. The project includes two studies that will be conducted sequentially. The first study will follow the WHO protocol for household transmission investigations in the context of COVID-19. It will explore transmission frequency and describe the clinical spectrum of disease. Samples collected will also serve as basis for COVID-19 molecular epidemiology and host immunological response. The second study will evaluate the presentation, diagnosis and clinical characteristics of individuals presenting to sentinel health facilities in both countries. The project will have a strong laboratory strengthening component which will enhance COVID-19 laboratory and research capacity. This will include the development of skills and knowledge for diagnostic testing and COVID-19 sequencing and will build scientific and research capacity. The findings from this project will provide robust data to assist in guiding national responses to COVID-19 in both countries as well as assisting with our understanding of the pathogenesis of the virus in the context of TB and HIV, in turn providing vital information on how to deliver clinical care and how to design therapeutics and vaccines.
Tuberculosis (TB) is a major public health concern, where it is among the top ten causes of death and the leading cause of death due to a single infectious agent globally. Providing standard anti-TB therapy for at least six months is recommended as one of the important strategies to control TB epidemic. However, prolonged duration of TB treatment raised issues of non-adherence. Non-adherence to TB therapy could negatively affect clinical and public health outcomes. Introduction of Direct Observed Therapy (DOT) has been used as a standard strategy to improve anti-TB adherence. Nonetheless, the DOT approach has been criticized due to inconvenience, stigma, reduced economic productivity, and reduced quality of life which ultimately could complicate the adherence issues. Apart from that, its effectiveness is debatable. Therefore, digital adherence technology could be an important alternative to DOT. Incorporation of Health Belief Model into the development of digital technology could potentially help to change behaviour and improve medication adherence. Hence, this study aimed to determine the effectiveness, feasibility, and usability of mobile application in improving TB medication adherence. This study proposed to conduct a pilot study to assess feasibility and usability followed by randomized, open-label, control trial among TB patients receiving TB care in several public health clinics in Kota Kinabalu, Putatan, and Penampang, Sabah, Malaysia. The eligible sample will be randomly assigned into mobile application DOT arm (intervention arm) and standard DOT arm (control arm). The primary outcome for this study is the successful completion of 80% or more of treatment observations that was scheduled in the two months following randomization. The secondary outcome measures are continuous variables including health related quality of life (HR-QOL), satisfaction level, and employment status. Multiple logistic regression analysis will be used to determine factors associated with primary outcome. Intention to treat and restricted analysis will be conducted. Independent sample t-test and repeated measures ANOVA will be used to compare the continuous secondary outcome between two intervention arms. The findings from this study are hopefully could provide insight into rethinking TB care delivery in order to achieve better TB treatment outcome.
Although many interventions are implemented to increase TB case detection, decrease diagnosis delay, and avoid catastrophic costs, there are no significant changes and the end TB goal will not be achieved in 2035. Innovative intervention that considers indigenous knowledge and unique culture and religious perspectives because many people go to traditional healers and holy water for healing. Therefore, integrating traditional tuberculosis care with modern care increase case detection, decrease diagnosis delay, and avoid catastrophic costs. There is no literature clearly defining integrating traditional TB care with modern care, but for the purpose of this study, integrating traditional care with modern care is defined as the collaboration of two systems through referral linkage. TB screening and diagnosis services will be done collaboratively in traditional and modern care services. A referral linkage model will be used to detect TB cases in both traditional and modern care services. Health care providers, traditional healers, priests, pastors, and imams will participate in the integration process. TB detection or diagnosis services will be integrated through referral linkage and strengthening capacity-building strategies. Traditional care centers and modern health care services will work collaboratively to improve TB case detection, reduce care costs, and avoid diagnosis delays. The standardized operational procedure of the full interventional package is described below. There are four steps of the intervention phases. These are the preliminary phase, preparation for implementation and refinement on a small scale phase, administering the intervention, and end-line assessment of outcomes. The intervention will be providing training for traditional and modern care practitioners, patient education, TB screening, and bidirectional referral linkage. This study hypothesized that integrating traditional care with modern care at the primary care level will increase the TB case detection rate by fifteen percentage points. Integrating traditional care with modern care at the primary care level will decrease TB diagnosis delay by fifteen percentage points. Integrating traditional care with modern care at the primary care level also will decrease the cost of TB care by 15 percentages of points
Tuberculosis (TB) is now the commonest cause of death in many African countries. Globally, ~35% (almost 1 in 3) of TB cases are 'missed' (remain undiagnosed or undetected). In sub-Saharan Africa, 40-50% of the TB case burden remains undiagnosed within the community. These 'missed' TB cases (at primary care level) serve as a reservoir, which severely undermines TB control. With rapid advances in the development of TB screening tests, the investigators aim to determine the pragmatic utility of computer-assisted x-ray diagnosis (CAD). Recent data suggest that CAD performs on par with experienced radiologists to identify potential TB cases, hereby reducing the frequency at which Xpert tests are requested and helps to focus limited resources on the relevant cases. In addition, the investigators aim to test nascent screening technologies for TB diagnosis such as evaluating urine-based TB screening biosignatures. The COVID-19 pandemic has ravaged African peri-urban communities where TB is also common. With the pressing need to improve screening and diagnosis of COVID-19, the investigators plan to explore the potential for urine- and blood-based COVID-19 screening assays. Symptoms of COVID-19 and TB overlap, and limited affordability, as well as the stigma associated with both diseases, severely limits testing. Data are now urgently needed about the feasibility of co-screening and testing for TB and COVID-19. The utility of such an approach, if any, has not been studied in African communities.
This study was a randomized controlled trial studying about acid-fast bacillus sputum conversion ratio from positive to negative of pulmonary tuberculosis patients between metformin with pulmonary tuberculosis standard treatment group and placebo drug with pulmonary tuberculosis standard treatment.
A Phase 4 operational study to assess the effectiveness, feasibility, acceptability, and cost effectiveness of the GeneXpert MTB/XDR (Xpert XDR; Cepheid) assay for rapid triage-and-treatment of DR-TB-A multi-centre, multi-country prospective cohort study
This is a randomized, double-blind, parallel-controlled study, for evaluation of safety and immunogenicity of three doses of an inactivated COVID-19 vaccine (CoronaVac) in pulmonary tuberculosis patients aged 18-75 years. 200 tuberculosis patients and 40 healthy adults aged 18-75 years will be recruited in this study. Of them, 200 pulmonary tuberculosis patients will be randomized at a 1:1 ratio to receive two doses of standard dosage CoronaVac plus one dose of double dosage CoronaVac or two doses of standard dosage CoronaVac plus one dose of standard dosage CoronaVac at a schedule of 0, 28, 56 days, respectively. Other 40 healthy subjects served as an external control group will be vaccinated with two doses of standard dosage CoronaVac at a schedule of 0, 28 days. The occurrence of adverse events within 28 days after each dose vaccination and serious adverse events within 3 months after full vaccination will be observed. In addition, blood samples will be collected on day 0 before the first dose and 28 days and 3 months after the last dose vaccination in all participants and 28 days after second dose in pulmonary tuberculosis patients. Each subject will remain in this study for 5 months (healthy group) or 6 months (tuberculosis group).
Tuberculosis (TB) is a global epidemic and for many years has remained a major cause of death throughout the developing world. Zambia is among the top 30 TB/HIV high burden countries. Chest X-ray (CXR) is recommended as a triaging test for TB, and a diagnostic aid when available. However, many high-burden settings lack access to experienced radiologists capable of interpreting these images, resulting in mixed sensitivity, poor specificity, and large inter-observer variation. In recognition of this challenge, the World Health Organization has recommended the use of automated systems that utilize artificial intelligence (AI) to read CXRs for screening and triaging for TB. In this study, we primarily evaluate the performance of our AI algorithm for TB, and secondarily for Abnormal/Normal.
The current TB treatment as recommended by World Health Organization (WHO) although capable of achieving 85% cure rates, has limitations, in particular drug interactions, toxicities, and the long treatment duration which increases the possibility of nonadherence. Sub-therapeutic isoniazid concentrations were demonstrated in several studies, including our previous work, carried out among patients with tuberculosis receiving the standard dose (5mg/kg) of isoniazid. The investigators found 78% of patients with HIV had isoniazid concentrations below the recommended threshold. Malabsorption, drug-drug interactions, poor adherence due to high pill burden may contribute to this. Pharmacogenetic variation may compound these factors; isoniazid displays inter-individual variation in serum concentrations and clearance due to differences in individual acetylator status. While patients who metabolize isoniazid slowly (slow acetylators) are at a higher risk of high drug concentrations and toxicities, fast acetylators are more likely to have sub-therapeutic isoniazid concentrations. In other studies, insufficient exposure with isoniazid, one of the cornerstone drugs for TB treatment, has been associated with delayed sputum clearance, development of drug resistance, and treatment failure. Isoniazid is metabolized by the enzyme N-acetyl transferase, which in turn is controlled by the N-acetyl transferase-2 (NAT-2) gene. Polymorphisms in this gene are responsible for the N-acetylation phenotypes, with the distribution of NAT-2 fast, intermediate, and slow acetylators being highly variable especially among African populations. Given that NAT2 acetylator status explains most of the variability in INH exposures, knowledge of NAT2 status may be a simpler way to select the right dose for individual patients. The investigators will therefore provide higher doses to fast acetylators and compare the isoniazid pharmacokinetics in these patients to slow acetylators who receive the standard dose, who are more likely to already be achieving target concentrations.
Single-arm, multi-center, Phase I/II clinical trial, in two groups. Individuals with HIV infection taking Efavirenz (EFV), nevirapine (NVP) or lopinavir/ritonavir (LPV/r) and two nucleoside reverse transcriptase inhibitors (NRTI) who have undetectable HIV viral load (VL) (< 50 copies/mL) and an indication for tuberculosis (TB) preventive treatment (TPT), will be switched to dolutegravir (DTG) with tenofovir/emtricitabine (TDF/FTC), tenofovir/lamivudine (TDF/3TC), abacavir/lamivudine (ABC/3TC) or zidovudine/lamivudine (AZT/3TC) in accordance with South African National HIV Guidelines. Groups 1 and 2 will receive weekly HP for 12 total doses starting 4 weeks after initiating DTG. Individuals who are on an existing DTG-based plus two NRTI antiretroviral therapy (ART) regimen for at least four weeks (and have not received efavirenz, or nevirapine or lopinavir/ritonavir for at least four weeks) who have an undetectable HIV viral load may also participate.