Active clinical trials for "Tuberculosis, Multidrug-Resistant"

This observational study will examine the safety and efficacy of bedaquiline and delamanid used (individually, not together) in routine, multidrug regimens for treatment of MDR-TB. The information gathered in this study will inform doctors how best to use these TB drugs in the future.

Title: Artificial Neural Network as Diagnostic Tools For Rifampicin-Resistant Tuberculosis In Indonesia. A Predictive Model Study and Economic Evaluation. Background: Drug-resistant tuberculosis has become a global threat particularly in Indonesia. The need to increase detection, followed by appropriate treatment is a concern in dealing with these cases. The rapid molecular test (specifically for detecting rifampicin-resistant) is now being utilized in health care service, particularly at primary care level with some challenges including the lack of quality control (including how to obtained and treat the specimen properly prior to the examination) which then, affect the reliability of the results. Drug-Susceptibility Test (DST) is still, the gold standard in diagnosing drug-resistant tuberculosis but this procedure is time-consuming and costly. The artificial intelligent including data exploration and modeling is a promising method to classify potential drug-resistant cases based on the association of several factors. Objective : To develop a model using an artificial intelligence approach that is able to classify the possibility of rifampicin-resistant tuberculosis. To assess the diagnostic ability and the accuracy of the model in comparison to existing rapid test and the gold standard To evaluate the cost-effectiveness evaluation of Artificial Neural Network model in Web-Based Application in comparison with the standard diagnostic tools Methodology A cross-sectional study involving all suspected drug-resistant tuberculosis cases that being referred to the study center to undergo rapid molecular test and DST test over the past 5 years. A comprehensive, retrospective medical records assessment and tuberculosis individual report will be performed to obtain a variable of interest. Questionnaire assessment for confirmation of insufficient information. Model Building through machine learning and deep learning procedure Model Validation and testing using training data set and data from the different study center Hypothesis : Artificial Intelligent Model will yield a similar or superior result of diagnostic ability compare the Rapid Molecular Test according to the Drug-Susceptibility Test. (Superiority Trial)

Multidrug-resistant (MDR) tuberculosis (TB), defined as simultaneous resistance to isoniazid and rifampin, has been declared a global emergency. Treatment outcomes are poor, driven by toxicity and limited efficacy of the 2nd-line anti-TB drugs. Although there is evidence that both anti-TB activity and most of the toxicity of the key drugs are related to drug exposure, the pharmacokinetic/pharmacodynamic (PK/PD) relationships in patients with MDR-TB are poorly characterized. Moreover potential synergy of drug combinations has not been identified in the context of MDR-TB, dosing has not taken into account the concentrations needed to suppress resistance, and the role of minimum inhibitory concentrations (MICs) in dosing is poorly studied. There are therefore opportunities to optimize drug doses and combinations to improve efficacy, and reduce toxicity. Based on this observational study of patients on standard treatment for MDR-TB, our proposal builds on novel methodologies we have developed, largely for drug sensitive TB: The application of computational analytical techniques to tease out the individual contributions of anti-TB drugs used in combination The development of a treatment response biomarker model based on time-to-positivity in liquid culture of serial sputum samples. The in vitro determination of PK targets for anti-TB activity and the suppression of resistance using the hollow fiber models of Mycobacterium tuberculosis (Mtb) (HFM-TB). Thus the research will enhance our understanding of current modalities of TB treatment, while contributing research approaches for future regimen optimization. This protocol describes the clinical research component (points 1&2). Aim 1: To characterize the effects of 2nd-line drug exposures on treatment response in MDR-TB patients. The 2nd-line drugs to be examined are those comprising the standardized regimen used in South Africa: kanamycin, pyrazinamide, moxifloxacin, ethionamide and terizidone. Hypothesis: Amongst patients on standard MDR-TB treatment, variation in drug exposure has a quantifiable impact on the rates at which viable Mtb are cleared from the sputum. Aim 2: To identify drug exposures associated with the risk of treatment-related toxicities in patients on a standard 2nd-line regimen for MDR-TB. Hypothesis: The risks of specific toxicities associated with kanamycin, pyrazinamide, moxifloxacin, ethionamide and terizidone are linked to drug concentrations.

The 'rising tide' of antimicrobial resistance is a source of concern across most infectious diseases. In the UK, for example, 6.8% of the ~8,500 tuberculosis patients seen in 2012 were resistant to the cheap and effective first-line drug isoniazid. It is of great importance to prevent the loss of current anti-tuberculosis drugs and preventing the spread of resistance by treating such patients as well as possible. Currently, guidance on the best treatments for isoniazid resistant tuberculosis is inconsistent globally. Data from randomised controlled trials, the peak quality of evidence, is sparse. It is thus important that studies using pre-existing observational data are undertaken. The investigators aim to use data and samples collected from Public Health England and National Health Service hospitals to determine a) the best treatments for patients with isoniazid resistant tuberculosis disease (cohort study) and b) how different causes of drug resistance in the infecting bacteria influence a) (nested case-control study). Eligible participants will have had isoniazid resistant tuberculosis (without associated rifampicin resistance) in England between 2009 and 2013 and will have been notified to Public Health England. The study will be conducted at University College London, National Health Service hospitals and Public Health England and will last until December 2017. Patient hospital records and disease surveillance records will be accessed and cultured bacteria from previously stored samples sequenced.

The purpose of this study is to describe the medical indication and utilization of expert medical consultation among participants treated with bedaquiline (BDQ), BDQ susceptibility based on minimum inhibitory concentrations (MICs) reported for baseline and subsequent isolates, BDQ drug utilization data to include dose, duration, past treatment history, past medical history, concomitant medications, and health care site of treatment, drug distribution mechanisms used in the administration of BDQ, patient outcomes (clinical and microbiologic) and adverse events among BDQ-treated participants, including deaths.

The objective of this study is to compare the effects of a web-based laboratory information system (e-Chasqui) between a network of health establishments with access to e-Chasqui (intervention group) and a network of health establishments without access to e-Chasqui (control group). The specific aims are: To compare the "laboratory turn-around-time" (from the date a culture or drug susceptibility test (DST) result is obtained to the date the result is obtained at the health center) of samples pertaining to health establishments in the intervention versus the control group. To compare the "clinical turn-around-time" (from the date the DST result is obtained to the date the patient is evaluated by a physician in possession of that result) among multi-drug-resistant tuberculosis (MDR-TB) patients pertaining to health establishments in the intervention versus control group. To compare the laboratory reporting errors (defined as incorrect smear, culture, or DST results) between health establishments in the intervention versus control group. To qualitatively assess the acceptability and usability of e-Chasqui among users in health establishments with access to the system. The investigators aim to test the following hypotheses: The laboratory turn-around-time for health establishments with e-Chasqui access will be smaller than that for establishments without e-Chasqui access. The clinical turn-around-time for patients pertaining to health establishments with e-Chasqui access will be smaller than that for patients in establishments without e-Chasqui access. Health establishments with e-Chasqui access will have fewer errors compared to those without e-Chasqui access. Factors associated with acceptability and usability of e-Chasqui by systems users can be identified.

The emergence and spread of multi-drug resistant and extensively-drug resistant strains of Mycobacterium tuberculosis (MDR/XDR-TB) have posed a great threat to global TB control and elimination, limiting treatment success rate at worrisome 50% for MDR-TB. Among various factors contributing to the development of drug resistance, low drug exposure is well recognized. To overcome this, either new drugs have to be developed or the dose of currently used therapy be optimized, or both. Fluoroquinolones (levofloxacin and moxifloxacin) and aminoglycosides are important drugs in the MDR-TB treatment regimen. Development of acquired drug resistance to these drugs could complicate and narrow down the available options, and further exacerbate to pre-XDR and XDR-TB. Objective: The main objective of this prospective clinical study is to understand the pharmacokinetics of levofloxacin in MDR-TB patients, receiving standard dosage (750-1250mg) based on the body weight and correlate drug exposure, with treatment outcomes. Study design: A prospective pharmacokinetic study Study population: 20 MDR-TB patients Intervention: Patients receive once daily oral dosing of levofloxacin (750-1250mg) based on the body weight, under MDR-TB treatment regimen of Nepal. Main study parameters/end points: The pharmacokinetic parameters(Vd, CL, AUC etc.) of levofloxacin are the primary end points of the study. The Cmax/MIC and AUC0-24h/MIC ratios are the best predictive parameters for efficacy of levofloxacin treatment and will be estimated. Pharmacokinetics will be evaluated in plasma and in oral fluid

Specimen transport from peripheral health structures to the National TB reference laboratory for MDR-TB identification presents a big challenge in term of sample management, safety, contamination and delays. Thus a system that allows specimen to be collected and shipped in a safely manner while reducing the possibilities of contamination, the cost of shipment and especially the time for detection of MDR-TB by using molecular methods would be very useful. Whereas the some studies show promising results for the development and standardization of simple specimen collection and transportation methods for molecular DST, more data is needed before these can be used in routine. The study described here aims at identifying a suitable method, in terms of adapted sample support (s) (slide, filter paper (FTA, Genocard ...)) and DNA extraction method. If one or several methods are found to give satisfying results, then a larger patient based evaluation of this (these) method(s) for molecular DST will be performed in a second phase. The protocol for the second phase will be prepared separately.

The goal of this study is to evaluate time to diagnosis for three assays (line probe, pyrosequencing, and Microscopic Observation Drug Susceptibility Assay [MODS]) to detect resistance to first and second-line anti-tuberculosis (TB) drugs in Mycobacterium tuberculosis (Mtb) strains in 7 days or less, allowing for rapid diagnosis of extensively drug-resistant TB (XDR-TB).

Background: -Tuberculosis (TB) is an infection of the lungs caused by bacteria. In Mali, TB is diagnosed with a test that is fast and inexpensive but not always accurate. The purpose of this study is to test a new method for diagnosing TB, called the microscopic-observation drug-susceptibility (MODS) test. The MODS test takes 7 days to show results. The test also gives information on which drugs will work best in each case. Objective: -To test a new method for diagnosing tuberculosis called the microscopic observation drug susceptibility test. Eligibility: Participants must be 12 years of age or older. They must have a diagnosis of TB from a sputum smear, or have symptoms of TB and an x-ray indicating that TB is present. Design: Participants will take part in the study from 6 months to 21 months and be assigned to one of three groups, depending on what type of TB they have. At the first visit, researchers ask questions about general health and symptoms of TB. They check vital signs, draw blood, and ask for a sputum sample. The blood is used to check for HIV infection and for the number of CD4 cells, which measures the severity of the HIV infection. The 2-, 5-, and 6-month visits are similar to the first. Those who do not have multidrug-resistant (MDR) TB will end their participation after the 6-month visit. MDR TB is tuberculosis that has not responded to isoniazid and rifampicin. Participants with MDR TB will remain in the study for 21 months. No treatment is provided as part of this study.