Literature DB >> 29528048

Using biomarkers to predict TB treatment duration (Predict TB): a prospective, randomized, noninferiority, treatment shortening clinical trial.

Ray Y Chen1, Laura E Via1,2, Lori E Dodd3, Gerhard Walzl4, Stephanus T Malherbe4, André G Loxton4, Rodney Dawson5, Robert J Wilkinson2,6,7, Friedrich Thienemann2,8, Michele Tameris9, Mark Hatherill9, Andreas H Diacon10, Xin Liu11, Jin Xing12, Xiaowei Jin13, Zhenya Ma14, Shouguo Pan15, Guolong Zhang12, Qian Gao16, Qi Jiang16, Hong Zhu17, Lili Liang10, Hongfei Duan18, Taeksun Song19, David Alland20, Michael Tartakovsky21, Alex Rosenthal21, Christopher Whalen21, Michael Duvenhage21, Ying Cai1, Lisa C Goldfeder1, Kriti Arora1, Bronwyn Smith4, Jill Winter22, Clifton E Barry Iii1,2.   

Abstract

Background: By the early 1980s, tuberculosis treatment was shortened from 24 to 6 months, maintaining relapse rates of 1-2%. Subsequent trials attempting shorter durations have failed, with 4-month arms consistently having relapse rates of 15-20%. One trial shortened treatment only among those without baseline cavity on chest x-ray and whose month 2 sputum culture converted to negative. The 4-month arm relapse rate decreased to 7% but was still significantly worse than the 6-month arm (1.6%, P<0.01).  We hypothesize that PET/CT characteristics at baseline, PET/CT changes at one month, and markers of residual bacterial load will identify patients with tuberculosis who can be cured with 4 months (16 weeks) of standard treatment.
Methods: This is a prospective, multicenter, randomized, phase 2b, noninferiority clinical trial of pulmonary tuberculosis participants. Those eligible start standard of care treatment. PET/CT scans are done at weeks 0, 4, and 16 or 24. Participants who do not meet early treatment completion criteria (baseline radiologic severity, radiologic response at one month, and GeneXpert-detectable bacilli at four months) are placed in Arm A (24 weeks of standard therapy). Those who meet the early treatment completion criteria are randomized at week 16 to continue treatment to week 24 (Arm B) or complete treatment at week 16 (Arm C). The primary endpoint compares the treatment success rate at 18 months between Arms B and C. Discussion: Multiple biomarkers have been assessed to predict TB treatment outcomes. This study uses PET/CT scans and GeneXpert (Xpert) cycle threshold to risk stratify participants. PET/CT scans are not applicable to global public health but could be used in clinical trials to stratify participants and possibly become a surrogate endpoint. If the Predict TB trial is successful, other immunological biomarkers or transcriptional signatures that correlate with treatment outcome may be identified. TRIAL REGISTRATION: NCT02821832.

Entities:  

Keywords:  GeneXpert; MERM; PET/CT; biomarkers; cycle threshold; drug sensitive; pulmonary tuberculosis; treatment shortening

Year:  2017        PMID: 29528048      PMCID: PMC5841574          DOI: 10.12688/gatesopenres.12750.1

Source DB:  PubMed          Journal:  Gates Open Res        ISSN: 2572-4754


Background

Tuberculosis (TB) is one of the top three global causes of infectious diseases and one of the top ten global causes of death, recently surpassing even HIV/AIDS . Treatment of drug sensitive TB (DS-TB) is long, typically requiring six months with good adherence to achieve cure and prevent relapse after therapy is stopped. However, treatment adherence and completion rates are not optimal, which could probably be improved by shorter and more effective treatments. Multiple studies conducted over the past 40 years have attempted to reduce the treatment duration of TB. In the 1970s, successful combination chemotherapy lasted 24 months, based on a series of studies conducted by the British Medical Research Council (BMRC). Follow-up studies in the early 1980s successfully reduced treatment duration to 6 months using pyrazinamide and rifampin, achieving relapse rates of 1–2%. Trials that reduced the duration to below 6 months experienced increasing relapse rates, roughly 12% at 4 months and up to 20% at 3 months , establishing 6 months as the accepted treatment duration for all cases of DS-TB. Three recent randomized-controlled trials attempted to shorten treatment using a 4-month experimental arm with a fluoroquinolone substituted for one of the four standard drugs . In all three trials, the 4-month treatment arms had relapse rates of approximately 15–20%, significantly higher than the standard of care 6-month arms but similar to the BMRC 4-month treatment trials (12%, 95% CI 9-16 among 364 patients) conducted 30+ years earlier . These trials suggest that, with currently available drugs, roughly 80–85% of drug-sensitive TB patients are cured with 4 months of standard therapy but 15–20% will relapse if not treated for at least 6 months and, further, that a subset of those with less severe disease could be cured at 4 months. Identifying this subset prospectively could lead to: (1) new treatment guidelines for eligible lower risk patients; (2) criteria for selection of high-risk patients that might be candidates for Phase 2b studies with novel regimens with proposed shorter durations; and (3) quantitative estimates of the rate of change of markers associated with durable cure at specific timepoints to establish milestones for even shorter regimens. The hypothesis that patients with less severe disease can be cured earlier was tested in a separate treatment shortening trial, in which only those with less severe disease and good initial treatment response were randomized to 4 vs. 6 months of treatment . In this trial, less severe disease was defined as absence of pulmonary cavities on baseline chest x-ray, and good treatment response was defined as sputum culture conversion to negative by 2 months of treatment. Only participants who met these 2 criteria were randomized to 4 vs. 6 months of treatment with standard of care drugs. This trial was stopped early by its Data and Safety Monitoring Board (DSMB) because those in the 6-month arm had a relapse rate of 1.6% while the 4-month arm had a significantly higher relapse rate of 7% (P<0.01). Despite this trial not meeting its target, the disease stratification criteria did increase the treatment success rate of the 4-month arm from 80–85% in the prior non-stratified trials to 93% (95% CI 89%, 96%), approaching 6-month treatment relapse rates. If the stratification criteria could be further refined, a successful 4-month treatment arm may be feasible. The hypothesis of the Predict TB trial is that a combination of radiographic characteristics at baseline, the rate of change of these features at one month, and markers of residual bacterial load at 4 months will identify patients with tuberculosis who are cured within 4 months (16 weeks) of standard treatment.

Methods

Study design

This is a prospective, multicenter, randomized, phase 2b, noninferiority clinical trial of pulmonary DS-TB participants conducted at 4 sites in Henan Province, China (Henan Provincial Chest Hospital, Xinmi City Institute of Tuberculosis Prevention and Control, Kaifeng City Institute of Tuberculosis Prevention and Control, and Zhongmu County Health and Epidemic Prevention Station) and 5 sites in and around Cape Town, South Africa (Stellenbosch University, University of Cape Town Lung Institute, University of Cape Town South African Tuberculosis Vaccine Initiative, Khayelitsha Site B, and TASK Applied Science). Inclusion criteria are: Age 18 to 65 years, with body weight from 35 kg to 90 kg Not been treated for active TB within the past 3 years Not yet on TB treatment Xpert positive for Mycobacterium tuberculosis Rifampin-sensitive pulmonary tuberculosis as indicated by Xpert Laboratory parameters within previous 14 days before enrollment: Serum AST and ALT <3x upper limit of normal (ULN) Creatinine <2x ULN Hemoglobin >7.0 g/dL Platelet count >50 x10 cells/L Able and willing to return for follow-up visits Able and willing to provide informed consent to participate in the study Willing to undergo an HIV test Willing to have samples, including DNA, stored Willing to consistently practice a highly reliable, non-hormonal method of pregnancy prevention (e.g., condoms) during treatment if participant is a premenopausal female, unless she has had a hysterectomy or bilateral tubal ligation or her male partner has had a vasectomy Exclusion criteria are: Extrapulmonary TB, including pleural TB Pregnant or desiring/trying to become pregnant in the next 6 months or breastfeeding HIV infected Unable to take oral medications Diabetes as defined by point of care HbA1c ≥6.5%, random glucose ≥200 mg/dL (or 11.1 mmol/L), fasting plasma glucose ≥126 mg/dL (or 7.0 mmol/L), or the presence of any anti-diabetic agent (including traditional medicines) as a concomitant medicine Disease complications or concomitant illnesses that may compromise safety or interpretation of trial endpoints, such as known diagnosis of chronic inflammatory condition (e.g. sarcoidosis, rheumatoid arthritis, connective tissue disorder) Use of immunosuppressive medications, such as TNF-alpha inhibitors or systemic or inhaled corticosteroids, within the past 2 weeks Use of any investigational drug in the previous 3 months Substance or alcohol abuse that in the opinion of the investigator may interfere with the participant’s adherence to study procedures Any person for whom the physician feels this study is not appropriate Eligible participants who sign the informed consent are started on standard of care treatment with fixed-dose combination tablets composed of isoniazid (H), rifampin (R), pyrazinamide (Z), and ethambutol (E) during the initial 8-week intensive phase and HR during the subsequent continuation phase, using national weight-based guidelines ( Table 1). PET/CT scans are done at baseline, week 4, and either week 16 or 24. Participants are followed through month 18 and a fourth PET/CT scan is done if recurrent TB develops during follow-up. All PET/CT scans are read by 2 readers using MIM Software (v. 6.6 or higher, MIM Software Inc, Cleveland, Ohio, USA). Scans with discrepant arm assignments by the initial 2 readers are read by a third reader. All PET/CT scan readers underwent a prequalification training process with 15 practice baseline and week 4 scans to ensure consistency among all readers in how the scans are read (see Supplementary File 5 for PET/CT reading SOP). The practice PET/CT scans were obtained from a previously conducted study at Stellenbosch University funded by the Bill and Melinda Gates Foundation ( Mycobacterium tuberculosis biomarkers for diagnosis and cure, OPP51919).
Table 1.

Adult weight-based dosing guidelines for intensive phase and continuation phase TB treatment using fixed-dose combination (FDC) tablets by country.

These are the dosing guidelines used in the Predict TB study and are taken from the South African national TB guidelines and the Chinese fixed drug combination tablet package insert from the Shenyang Hongqi Pharmaceutical Company, Ltd.

Intensive Phase (initial 8 weeks)Continuation Phase (weeks 9–24)
HRZE (75/150/400/275 mg)HR (75/150 mg)HR (150/300 mg)
WeightChina and South AfricaSouth Africa
30–37 kg 2 tablets daily2 tablets daily--
38–54 kg 3 tablets daily3 tablets daily--
55–70 kg 4 tablets daily--2 tablets daily
>70 kg 5 tablets daily--2 tablets daily
China
<50 kg --individual drug tablets (non-FDC)
≥50 kg --2 tablets daily

Note: H=isoniazid; R=rifampin; Z=pyrazinamide; E=ethambutol

Adult weight-based dosing guidelines for intensive phase and continuation phase TB treatment using fixed-dose combination (FDC) tablets by country.

These are the dosing guidelines used in the Predict TB study and are taken from the South African national TB guidelines and the Chinese fixed drug combination tablet package insert from the Shenyang Hongqi Pharmaceutical Company, Ltd. Note: H=isoniazid; R=rifampin; Z=pyrazinamide; E=ethambutol Participants are stratified into treatment arms by the early treatment completion criteria, composed of baseline PET/CT criteria, the change in these measurements at week 4, and a minimum adherence dose count and Xpert cycle threshold as a marker of residual sputum bacterial load at week 16 ( Table 2). Those with more severe disease (who do not meet all early treatment completion criteria) are placed in Arm A (standard of care arm, treatment completion at week 24). Those with less severe disease (who meet all early treatment completion criteria) are randomized either to Arm B (standard treatment duration of 24 weeks) or Arm C (standard treatment shortened to 16 weeks) at week 16. The third PET/CT scan is done at week 16 for participants in Arms B or C and randomized to either week 16 or 24 for participants in Arm A. All participants are followed to week 72 for final treatment outcomes ( Figure 1), with sputum, blood, and urine samples collected per the schedule in Table 3. Study enrollment began in Cape Town in June 2017 and is expected to begin in Henan in October 2017. Enrollment is expected to take about 3 years and the study is expected to complete within 5 years.
Table 2.

Predict TB early treatment completion criteria.

These are the criteria used at baseline, week 4, and week 16 to stratify enrolled participants to Arm A or Arm B vs C. Participants must meet all criteria to be eligible for randomization to Arm B vs C at week 16. Participants who do not meet all criteria are placed into Arm A.

CategoryCriteria
Radiographic criteriaBaseline PET/CT:     •  No total lung collapse of a single side, AND     •  No pleural effusion, AND     •  No single cavity air volume on CT scan >30 mL, AND     •  CT scan hard volume (-100 to +100 HU density) <200 mL, AND     •  PET total activity <1500 units Week 4 PET/CT:     •  All individual cavities decrease by >20% (unless cavity <2 mL),        AND     •  CT scan hard volume does not increase by >10% unless the        increase is <5 mL, AND     •  PET total activity does not increase by >30% unless the        increase is <50 units
Bacterial load criterionWeek 16 Xpert cycle threshold ≥30
Adherence criterionMinimum of 100 doses received by week 16
Figure 1.

Predict TB study schematic.

Table 3.

Predict TB study timeline.

Study enrollment began in Cape Town in June 2017 and is expected to begin in Henan in October 2017. Enrollment is expected to take about 3 years and the study is expected to complete within 5 years.

ScreeningD0W1 V (D7)W2 (D14)W4 (D28)W8 D (D56)W12 (D84)At Week 16W16 (D112)W20 (D140)W24 (D168)W36 (D252)W48 (D336)W60 (D420)W72 (D504)TB Recurrence
Main Study Informed Consent (Plus Genetic and HIV in RSA) XRANDOMIZE to Arm B or C
Medical History/ Focused History XXXXXXXXXXXXphone callXX
Physical Exam/ Focused Physical Exam XXXXXXXXXXXXXX
Sputum Collection ξ
Smear/CultureXX H XXXXXXthenXXXXXXX
GeneXpertX(X) S XXX E X (arms A and B only)X
BiomarkersXXX g X g X g X g X g X g X g
SalivaXXXXX
Blood collection
CBC/Chems/LFT G Xand if not assigned to Arm A,X
BiomarkersXXXXXXXXXX
Pregnancy Test P (serum at screening, urine for others)x h(serum)
HIV TestingXX
Plasma drug levelsX (all arms)
Finger Stick XXArms B/C and randomized ARandomized for scan in Arm A onlyX
Urine collection
BiomarkersXXXXXReview treatment completion criteriaXXXXX
Pregnancy Test P (serum at screening, urine for others)x (can do if desired before CXR)XXArms B and C onlyArm A onlyX
FDG-PET/CT W XXArms B/C and randomized ARandomized for scan in Arm A onlyX
Adherence monitoring XXXXXXArms A and B onlyArms A and B only

Additional sputum may be collected if contaminated or otherwise compromised

A subject could be called back for this additional sputa collection, if necessary.

Sputum at screening will also be used for screening Xpert

May not be done if within 7 days of screening

Pregnancy testing from screening may be used for the D0 PET/CT scan if D0 is within 2 days of the screen

These will be performed at any visit if clinically significant.

Before any PET/CT scan or CXR is done, a pregnancy test will be done for applicable females. If the pregnancy test is positive, the PET/CT scan will not be performed.

For those eligible for randomization to Arms B/C

At week 8, ethambutol and pyrazinamide will be discontinued

: baseline w/i 7 days after treatment initiation; W4 must be at least 4 wks after baseline scan with a -3/+7 d window; W16 and 24 scan w/i 14 d of visit; relapse ASAP, but w/i 2 wks of recurrence

: Week 1–2: +/- 3 days; Week 4–24: +/- 7 d, noting that Weeks 16 and 24 should be as close as possible to actual date; Week 36–72: +/- 30 days.

If sputum is not available for biomarkers, it will not be a protocol deviation.

Predict TB early treatment completion criteria.

These are the criteria used at baseline, week 4, and week 16 to stratify enrolled participants to Arm A or Arm B vs C. Participants must meet all criteria to be eligible for randomization to Arm B vs C at week 16. Participants who do not meet all criteria are placed into Arm A.

Predict TB study timeline.

Study enrollment began in Cape Town in June 2017 and is expected to begin in Henan in October 2017. Enrollment is expected to take about 3 years and the study is expected to complete within 5 years. Additional sputum may be collected if contaminated or otherwise compromised A subject could be called back for this additional sputa collection, if necessary. Sputum at screening will also be used for screening Xpert May not be done if within 7 days of screening Pregnancy testing from screening may be used for the D0 PET/CT scan if D0 is within 2 days of the screen These will be performed at any visit if clinically significant. Before any PET/CT scan or CXR is done, a pregnancy test will be done for applicable females. If the pregnancy test is positive, the PET/CT scan will not be performed. For those eligible for randomization to Arms B/C At week 8, ethambutol and pyrazinamide will be discontinued : baseline w/i 7 days after treatment initiation; W4 must be at least 4 wks after baseline scan with a -3/+7 d window; W16 and 24 scan w/i 14 d of visit; relapse ASAP, but w/i 2 wks of recurrence : Week 1–2: +/- 3 days; Week 4–24: +/- 7 d, noting that Weeks 16 and 24 should be as close as possible to actual date; Week 36–72: +/- 30 days. If sputum is not available for biomarkers, it will not be a protocol deviation.

Treatment adherence

Total treatment duration will be determined by dose counts. Participants will receive either 16 weeks of treatment (Arm C) or 24 weeks of treatment (Arms A and B). (Arm A participants may be treated longer at the discretion of the treating physician.) Participants receiving 16 weeks of treatment will receive 112 doses with a minimum total of 100 doses. Participants who do not meet this minimum dosing requirement within the week 16 visit window will not be eligible for randomization and will be moved to Arm A. Approximately 90% adherence is used, as missing more than this has been associated with an increased risk of poor outcomes . Participants receiving 24 weeks of treatment will receive 168 doses with a minimum total of 150 doses. Missed doses during the initial 8-week intensive phase will be added on to the end of the intensive phase, replacing continuation phase dosing. Arm B participants who do not achieve the minimum 150 doses within the Week 24 visit window will be allowed to complete a minimum of 150 doses even if this exceeds the visit window. All possible and available forms of adherence monitoring are encouraged as much as local resources allow. This includes (but does not require) directly observed therapy (DOT), whether by a healthcare worker, an outreach worker, or a family member. The vast majority of participants will not receive formal DOT; these participants will be provided an electronic pill box, the Medication Event Reminder Monitor (MERM; Wisepill Technologies, South Africa), which has been shown to improve treatment adherence among TB patients in China . The MERM is a box that stores dispensed medication and also contains a cartridge that monitors box openings and sounds an alarm daily at a set time to remind participants to take their medicine. Box open/close data will be downloaded on follow-up visits.

Treatment outcome definitions

Treatment success is defined as a participant with at least 2 consecutive negative cultures on solid medium over a span of at least 4 weeks, achieved by the end of therapy, with no subsequent confirmed positive cultures during follow-up. Participants who remain culture positive on solid medium at Week 24 in Arm A will be considered treatment failures, will be taken off study as meeting a study endpoint and referred to continue treatment per the local standard of care (SOC). Participants who convert to solid culture negative who subsequently have a single solid culture positive for Mtb before or at week 24 need to have a subsequent culture positive for Mtb to be confirmed as treatment failures. Isolated positive cultures that are not confirmed on a subsequent sputum sample are not considered failures as these may have arisen from processing error or laboratory contamination . Solid culture results will be used for the primary endpoint analysis. Liquid culture results may be used for secondary analyses. Participants randomized to Arms B or C who are subsequently found to have a positive culture for Mtb on solid medium from weeks 16–24, confirmed on a subsequent culture, will be considered treatment failures. These participants will be referred to continue treatment per local SOC and will be followed observationally until the end of their treatment to determine outcomes. Participants who convert their sputum to culture negative (2 consecutive negatives over ≥4 weeks) and who subsequently become culture positive for Mtb again on solid medium during follow-up after week 24, confirmed by a second positive sputum culture, will be considered recurrences. Isolated positive cultures that are negative on follow-up will not be considered recurrences. Relapses will be distinguished from re-infections by DNA strain typing and only relapses will be considered a study endpoint. Participants who are treatment failures and relapses will have drug sensitivity testing done to inform subsequent treatment. Relapses on Arms B and C will have observational follow-up until the end of retreatment to determine outcomes.

Statistical analyses

This is a non-inferiority study, with the primary endpoint being a comparison of the rate of treatment successes at 18 months (after treatment initiation) between Arms B and C. Final study treatment outcome data from participants who are unable to return at 18 months but do return during the 1 year following will be imputed back to the 18-month time point for the primary endpoint. The primary analysis will estimate the lower bound of a 95% confidence interval of the difference in success rates between arms B and C. If the lower bound is greater than -7%, this will be evidence that the treatment-shortening arm is not inferior to the standard duration arm. Confidence intervals will be constructed using Wald intervals, with inverse weighting according to site-estimated variances, as a stratified analysis. Additional analyses of the primary endpoint will consider a non-stratified-based confidence interval of the difference. The sample size is determined for the comparison between Arms B and C. Because these are lower risk participants, we expect a treatment success rate of 97%. Table 4 provides power calculations for a total enrollment of 117 and 140 per group. With true success rates of 97% in both arms, study power is greater than 90% with only 117 participants per group. However, to increase power to accommodate a scenario in which the true success rate in the four-month treatment arm is slightly lower than the six-month arm, a sample size of 140 per treatment arm was selected, corresponding to 155 subjects per arm after adjusting for a 10% loss to follow-up. We expect that approximately 50% of participants will be classified as higher risk and be placed into Arm A, giving a total study sample size of 620 participants.
Table 4.

Sample size power calculations for the Predict TB trial.

Power calculations are shown for total sample sizes of 117 and 140 per group (Arms B and C) for different success rates across and between treatment arms. Because these are lower-risk participants, a 97% success rate was targeted. A sample size of 140/arm was selected to increase power in case the shortened treatment arm has a slightly lower success rate. This sample size was then increased by 10% to 155/arm to account for those lost to follow-up.

Success rate by study armPower for concluding NI with 7% margin, 5% type I error rate
Arm B: 6-month txArm C: 4-month txSample size 117 per groupSample size 140 per group
0.990.990.9991
0.990.980.9840.994
0.990.970.8630.912
0.980.980.9850.994
0.980.970.9030.942
0.980.960.7260.792
0.970.970.9320.963
0.970.960.8030.862
0.970.950.6210.689
0.960.960.8620.911
0.960.950.7160.782
0.960.940.5450.609
0.950.950.7920.851
0.950.940.6440.711
0.950.930.4870.547

Sample size power calculations for the Predict TB trial.

Power calculations are shown for total sample sizes of 117 and 140 per group (Arms B and C) for different success rates across and between treatment arms. Because these are lower-risk participants, a 97% success rate was targeted. A sample size of 140/arm was selected to increase power in case the shortened treatment arm has a slightly lower success rate. This sample size was then increased by 10% to 155/arm to account for those lost to follow-up.

PK-MIC substudy

Typically, bacteria are termed “resistant” to a drug if the bacteria are able to grow at concentrations above the established "breakpoint" for that drug and resistance is a well-known determinant of TB treatment outcome . Conventional drug susceptibility testing for isoniazid and rifampin will be employed during the trial to confirm that patients have susceptible isolates. The minimum inhibitory concentration (MIC) for a specific bacterial isolate is the drug concentration at which the growth of the bacteria is inhibited by approximately 95%. For each patient enrolled into the substudy, we will determine the specific isoniazid and rifampin MIC for their Mtb isolate. In addition, TB patients are known to have widely variable serum PK values, and these differences appear to affect treatment outcome . Because a given patient’s serum drug concentration achieved will affect the clinical interpretation of a given MIC result, we hypothesize that a model incorporating both of these parameters may predict outcomes better than either one alone. This hypothesis will be tested in a substudy among study participants believed to be at higher risk of relapse based on preliminary data, those who move to Arm A due to an inadequate treatment response on the week 4 PET/CT scan. After substudy informed consent is signed, two substudy visits will occur where a baseline blood sample is drawn, TB medication for that day is dosed, then blood is again drawn at 1, 2, and 6 hours post-dose for pharmacokinetic (PK) analysis for isoniazid and rifampin. For every Arm A participant who agrees to join the substudy, a control participant from the combined B/C arm will also be recruited to join. This will be a convenience sample of participants willing to participate in the substudy and no specific sample size is targeted.

Data and Safety Monitoring Board (DSMB)

The standing NIAID DSMB with three global TB experts added as ad hoc members will provide oversight of the study. The DSMB will meet at least twice per year to evaluate safety, study conduct, and scientific validity and integrity of the trial.

Ethical statement

Informed consent is conducted in the local language of the participant (Chinese, English, Afrikaans, or Xhosa). The study radiation dose was reviewed and approved by the Radiation Safety Committee of the U.S. National Institutes of Health (NIH). The study protocol was reviewed and approved by the institutional review board (IRB) of the National Institute of Allergy and Infectious Diseases (NIAID), NIH (085315; most recent approval numbers listed here and below, Henan sites do not use approval numbers) and all local IRB/ethics committees (Henan Provincial Chest Hospital [HPCH], Henan Center for Disease Control [Henan CDC], Stellenbosch University (M16/08/031, M16/10/039), and the University of Cape Town (645/2016, 646/2017, 647/2016)), as well as the South African Medicines Control Council.

Discussion

With currently available drugs for TB, all published trials attempting to shorten TB treatment below 6 months have failed. The trial that came closest to success randomized only those with less severe disease and favorable early treatment response (baseline chest x-ray without cavity and a month 2 sputum culture that had converted to negative). Multiple tuberculosis biomarkers potentially predictive of treatment outcomes are being studied to improve the risk stratification of patients . From a microbiological standpoint, sputum culture conversion at 2 months of treatment is most commonly used to predict non-relapsing cure but its true predictive ability is poor, with one meta-analysis showing a pooled sensitivity and specificity for predicting relapse of 40% (95% CI 25%-56%) and 85% (95% CI 77%-91%), respectively . A review of data from the BMRC trials from the 1970s and 1980s found only a weak correlation (R =0.36) for this marker as a surrogate for treatment failure and relapse, depending on factors such as geographic location, baseline disease and cavity status, and concomitantly used medications . Further evidence against using culture conversion as a surrogate for predicting treatment outcome was recently demonstrated from the phase 3 TB treatment shortening trial REMoxTB , where subsequent analyses of the culture data collected demonstrated poor correlation with treatment outcome whether analyzed at a single time point (2 months) or over time (time to culture conversion or time to culture positivity) . The ability of early radiographic changes to predict subsequent treatment outcomes in TB has been recognized for over 50 years and prior studies have identified baseline cavity on chest x-ray as a risk factor for relapse . However, chest x-rays are not sensitive for cavities, particularly smaller ones; more recent analyses of radiographic biomarkers have moved beyond chest x-ray to 2-deoxy-2-[ F]-fluoroglucose (FDG) positron emission tomography/computed tomography (PET/CT) as an early marker of treatment response and possibly as a marker for relapse at the end of treatment. CT scans produce more detailed lung morphology than chest x-rays and PET scans provide additional information on inflammatory activity. In macaques, changes on PET/CT scans correlate with TB disease activity and treatment response . Our group has analyzed human PET/CT data from a randomized clinical trial using metronidazole in the treatment of pulmonary multi-drug resistant tuberculosis (MDR-TB) participants . As a substudy within the overall MDR-TB study, we performed PET/CT scans at 0 and 2 months and CT scans at 0, 2, and 6 months of treatment and correlated these changes with final treatment outcomes 30 months after treatment start (6 months after the end of therapy). PET changes at 2 months and CT changes at 6 months appeared to be more sensitive to predict final treatment outcomes than sputum culture conversion at 2 months, although these differences were not statistically significant . These results support the potential of PET/CT imaging biomarkers as possible surrogate endpoints in clinical trials, and larger cohorts are needed to confirm these results. We developed the radiographic early treatment completion criteria for the Predict TB trial ( Table 2) (unpublished study; National Institutes of Health, Bethesda, MD, USA) using a cohort of 100 pulmonary DS-TB participants from Cape Town who received PET/CT scans at baseline, 1 month, and 6 months while on standard therapy through the national TB treatment program . The participants were treated for 6 months, then followed through 18 months for final treatment outcomes. In total, 92 participants had complete PET/CT scan data, Xpert MTB/RIF cycle thresholds, and treatment outcomes. After 18 months of follow-up, 73 were considered cured, 8 failed treatment, and 11 were restarted programmatically on TB treatment, defined as the participant restarting treatment during follow-up for any reason. Our radiographic early treatment completion criteria are divided into baseline disease burden and week 4 reduction in disease burden due to treatment, which is reflective of the Johnson 2009 study which also had a measure of baseline disease burden (baseline chest x-ray without cavity) and treatment response (month 2 sputum culture conversion). Currently, the only direct measure of TB sputum bacterial load is sputum smear, which is not very sensitive. Alternative surrogate markers evaluated include the time to positivity (TTP) of a positive culture on liquid mycobacterial culture systems, with the shorter TTP indicating a higher bacterial load. Different studies have demonstrated some correlation between Mycobacteria Growth Indicator Tube (MGIT) TTP and sputum bacterial load but with poor specificity in predicting treatment outcomes . Thus, although time to culture conversion and MGIT TTP do correlate independently with treatment outcome, these markers do not discriminate well between high and low risk patients and therefore have only a limited role in predicting treatment outcomes of individual patients . Another marker of sputum bacterial load is the GeneXpert cycle threshold. The GeneXpert assay is an automated rapid molecular diagnostic test for Mtb and resistance to rifampin with results provided directly from sputum within 2 hours . The test is run using a polymerase chain reaction and the number of cycles (cycle threshold) at which the amplification curve crosses the specified threshold is recorded, with a lower cycle threshold suggestive of a higher bacterial load. Three studies have correlated Xpert MTB/RIF cycle threshold with sputum smear status, with varying sensitivity and specificity levels depending on the cycle threshold cut point used . A fourth study found that Xpert MTB/RIF results correlated with smear grades, solid culture results, and liquid culture TTP (all p<0.0001) but Xpert MTB/RIF sputum positivity rates declined more slowly during treatment than sputum smear and culture results. Using the combined binary smear and culture results as a reference standard, sensitivity of Xpert MTB/RIF was excellent at 97.0% (95% CI 95.8-97.9) but specificity was poor at 48.6% (95% CI 45.0-52.2) as the assay is unable to differentiate viable, dormant, and non-viable Mtb bacteria . In the study mentioned previously of 100 pulmonary DS-TB participants in Cape Town, a week 24 Xpert MTB/RIF cycle threshold of ≥30 predicted treatment failure with higher sensitivity and specificity than earlier time points . This is in contrast to the week 8 culture, which has lower sensitivity (for cure) than Xpert MTB/RIF cycle threshold at week 24: 61% (week 8 culture) vs 89% (Xpert MTB/RIF cycle threshold week 24, p<0.01). Estimates of specificity (for failure) for Xpert MTB/RIF cycle threshold week 24 was higher than week 8 culture (88% vs 50%), but the improvement was not statistically significant. The poor performance of week 8 culture data as a predictor of treatment outcome is similar to what was observed in the REMoxTB trial . The observation that a later test predicts outcomes better than an earlier test may be similar to findings in HIV infection, where baseline CD4 cell count is a strong predictor of mortality over time but current CD4 cell count is even stronger . This has been seen in TB too, where culture conversion status at month 6 predicts final treatment outcome significantly better than culture conversion status at month 2 . Taken together, these results suggest that Xpert MTB/RIF cycle thresholds collected later may be able to replace an earlier microbiological culture in predicting treatment outcomes, with the major advantage of Xpert MTB/RIF over culture being the time to test result, with Xpert requiring 2 hours and culture up to 6 weeks. Thus, Xpert cycle threshold may be useful as a point-of-care test whereas culture cannot. In summary, the Predict TB trial builds upon previous trial results, in particular the Johnson 2009 trial . Instead of using a chest x-ray to determine baseline disease burden, we will use a PET/CT scan. Instead of using month 2 culture conversion as a measure of treatment response, we will use month 1 change in PET/CT scan disease burden and a month 4 Xpert MTB/RIF cycle threshold. Prior treatment shortening trials that randomized all subjects to shortened vs. standard treatment achieved treatment success rates in the 4-month arms of roughly 80–85%. Using a risk stratification approach, the Johnson study increased this to 93%. By refining their risk stratification parameters, we hypothesize that the treatment success rate in our 4-month arm will be non-inferior to our 6-month arm. If successful, our methodology could be extended to identify participants cured with even shorter regimens. We do not expect that PET/CT scans will become a risk stratification tool for global TB use due to its cost and availability limited to larger cities. Use of PET/CT scans would likely be limited to clinical trials but could be a method to stratify trial participants and possibly become a surrogate endpoint by which to reduce the number of participants needed in a Phase 2b trial, shorten overall trial duration or predict drug sterilizing activity such as in early bactericidal activity studies. These achievements could expand the number of regimens evaluated in Phase 2b trials prior to committing to an expensive and time-consuming Phase 3 study and thereby contribute to the likelihood of identifying optimal regimens. If the Predict TB trial is successful, other immunological biomarkers or transcriptional signatures that correlate with treatment outcome may be identified. These markers or signatures will likely be much cheaper and more widely available than PET/CT scans and more amenable to being scaled up globally. Summary Chen and colleagues have provided a well-written protocol describing a randomized multi-site trial to determine if 4 months of treatment is noninferior to standard 6 months in low-risk pulmonary tuberculosis patients. The overall aim of this study is to identify patients with earlier cure through previously researched biomarkers of GeneXpert cycle thresholds and imaging markers on PET/CT scans. Patients will be stratified by defined early treatment criteria, which incorporates initial PET/CT and imaging changes at 4 weeks, medication adherence, and GeneXpert cycle thresholds at 4 months. Those identified as low-risk will be randomized to 4 versus 6 months of treatment, while patients classified to have severe disease will complete a full 6 months of treatment. The primary endpoint is defined as treatment success at 18 months, with detailed attention to determine relapse versus repeat infection to clearly define treatment failure. Chen et al provide a sound rationale for the trial based on multiple pre-clinical and clinical studies. Methods are well written, and supplemental material provides further detail which would allow easy reducibility. Statistical analysis described are appropriate for the trial proposed. Overall, we have only a few minor comments. Details Introduction The authors provide a well-written summary of how standard-of-care for pulmonary tuberculosis was defined as 6 months, and recent trials conducted which demonstrate unacceptable rates of relapse when treatment is shortened to 4 months. Methods The study design is clearly defined for study sites, inclusion and exclusion criteria, data collection and responsibilities, and methods to address adherence. In addition, statistical analysis is well explained, and power calculations provided for support of aimed sample size. A few clarifications would be helpful: Method of randomization appears to be only in supplemental protocol, and would be useful to list it in the main proposal. Are PET/CT readers blinded to the patient randomization? The range of weight in inclusion criteria is broad – this could further be noted in the PK-MIC substudy. Please consider adding additional info on analysis of PK samples (location, methods etc). Discussion The discussion is well-written and provides further detailed insight into the design approach. With this discussion, the reader can understand the cut off of GeneXpert cycle threshold of >30. Additional detail on the reasoning for timing of PET/CT at 4 weeks rather than a later date would be helpful. Reference 26 demonstrated changes on PET at 8 weeks compared to baseline was a better predictor of cure than liquid culture in MDR-TB patients. While reference 27 utilized 4 week PET/CT rather than 8 week in drug-sensitive patients, the authors described persistent PET activity likely related to inflammation and not necessarily active infection, which would be ongoing after 4 weeks of treatment. We have read this submission. We believe that we have an appropriate level of expertise to confirm that it is of an acceptable scientific standard. We thank the reviewers for their review and comments. We have responded point by point below. Methods The study design is clearly defined for study sites, inclusion and exclusion criteria, data collection and responsibilities, and methods to address adherence. In addition, statistical analysis is well explained, and power calculations provided for support of aimed sample size. A few clarifications would be helpful: The method of randomization is described in the statistical analysis plan, although it is our practice to keep precise details (e.g., block size) restricted. In brief, participants who meet baseline, week 4, and week 16 early completion criteria are block randomized (stratified by site) to Arm B (continue treatment to week 24) or Arm C (complete treatment early at week 16). Method of randomization appears to be only in supplemental protocol, and would be useful to list it in the main proposal. 2. Are PET/CT readers blinded to the patient randomization? For randomization to either arm B or C, blinding is not a concern, as patient randomization does not occur until after the reader scores are entered into the database. Indeed, these results are needed to determine risk classification, which determines eligibility for randomization. Furthermore, PET/CT readers are blinded to other reader’s results. The other randomization element in this study occurs amongst arm A participants. The timing of imaging scans for arm A participants is randomized to either 16 or 24 weeks.  PET/CT readers are not blinded to the timing of the scan. The range of weight in inclusion criteria is broad – this could further be noted in the PK-MIC substudy. This will be noted in future publications related to the PK-MIC substudy. 3. Please consider adding additional info on analysis of PK samples (location, methods etc). In Cape Town, PK sample analysis will be performed on plasma samples shipped to the Rutgers New Jersey Medical School in Newark, New Jersey, USA. In China, PK sample analysis will be performed on plasma samples shipped to Shanghai Public Health Clinical Center in Shanghai. The samples will be analyzed by high pressure liquid chromatography coupled to a tandem mass spectrometer as previously described ( doi:  ). The equipment and methods used by the two labs are harmonized currently and will be revalidated as producing similar results prior to protocol sample analysis. Data processing will be performed using a current version of Analyst Software (Applied Biosystems Sciex). Discussion The discussion is well-written and provides further detailed insight into the design approach. With this discussion, the reader can understand the cut off of GeneXpert cycle threshold of >30. Additional detail on the reasoning for timing of PET/CT at 4 weeks rather than a later date would be helpful. Reference 26 demonstrated changes on PET at 8 weeks compared to baseline was a better predictor of cure than liquid culture in MDR-TB patients. While reference 27 utilized 4 week PET/CT rather than 8 week in drug-sensitive patients, the authors described persistent PET activity likely related to inflammation and not necessarily active infection, which would be ongoing after 4 weeks of treatment. Our decision to use a week 4 PET/CT scan was based primarily on data from reference 27 which concerned drug-sensitive patients; the 8-week changes in reference 26 were in MDR patients. The overall slower response in MDR patients compared to drug susceptible patients suggests that a similar outcome-predictive timepoint would be shorter than 8 weeks. Therefore, we chose to use the 4-week changes in drug susceptible patients for this study. Although inflammation is still ongoing at week 4 compared to later time points, there appeared to be enough change from baseline to week 4 to be predictive of final treatment outcomes. Later time points may have less inflammation and possibly be more predictive but a certain amount of inflammation still persists even 1 year after completion of treatment in apparently cured patients, as noted in ref 27. Our goal therefore was to identify an early time point that was still predictive of final treatment outcomes. We hypothesized that a week 4 scan would accomplish this. General Comments This is a well-designed study addressing an issue that has challenged researchers ever since the successful demonstration of short course chemotherapy in the 1970s and Wallace Fox’s paper Whither Short Course chemotherapy? in which he reported on favourable outcomes in a high proportion of patients treated for less than 6 months with the SHRZ/HR regimen. Fox made the point that many patients were being treated for an unnecessarily long time and highlighted the benefits there would be if appropriate prognostic factors could be identified to permit selection of those patients requiring longer treatment. In a subsequent study conducted in Hong Kong in patients with smear negative disease low relapse rates were found after treatment with a 4-month regimen, which was recommended for treatment of smear-negative disease whatever the initial culture status. It is of note that policy of treating patients with smear negative disease for the reduced duration of 4 months was subsequently discontinued in the interests of a standard 6-month regimen for all patients. Inclusion criteria It is of note that patients are included based on results of a GeneXpert test but without reference to their smear status, it would be beneficial to include the results of the baseline smear in the analysis to ascertain whether it predicts outcome as well as it did in the Hong Kong study. Additionally, it may be worth considering including a minimum cycle threshold for inclusion into the trial. There is no discussion of why HIV-infected patients have been excluded from the study. Published reviews such as those by Khan in 2010 and 2012 suggested that HIV-positive patients may require a longer duration of chemotherapy than those who are uninfected although much of the data derived from studies before the era of universal ART for patients who were coinfected. Inclusion of patients from South Africa with HIV coinfection receiving ART would have been particularly informative in view of the high proportion of patients affected. A lower bacillary load and limited evidence of cavitated disease may well have different implications in this patient group. Adherence criteria Reference 7 on which the rationale for requiring approximately 90% of prescribed treatment to have been received is based on a study of patients with MDR-TB. Recent work by Rada Savic and colleagues has demonstrated this to be the case in patients receiving standard treatment as in the current trial. Use of MERM will presumably provide valuable data on the extent to which patients have opened the electronic pill box throughout the course of treatment. It does not mean the patients will always have taken their treatment every time they open the box! Are there any plans to ask patients about adherence either during the trial or at an exit interview, which can prove to be a more informative measure. Treatment outcome definitions I note the fact that solid media is being used for the primary analysis but liquid media may be used for secondary analysis. What was the rationale for using solid media? With regard to patients who have a single positive culture either at their last scheduled visit or prior to defaulting presumably this will be sufficient to classify such patients as having an unfavourable outcome, failure during treatment, or recurrence after stopping? How will other patients who are lost are during treatment be classified? Unassessable or unfavourable? Will those lost during follow-up be regarded as unassessable in the analysis? We have read this submission. We believe that we have an appropriate level of expertise to confirm that it is of an acceptable scientific standard. We thank the reviewers for their review and comments. We have responded point by point below. Inclusion criteria It is of note that patients are included based on results of a GeneXpert test but without reference to their smear status, it would be beneficial to include the results of the baseline smear in the analysis to ascertain whether it predicts outcome as well as it did in the Hong Kong study. Additionally, it may be worth considering including a minimum cycle threshold for inclusion into the trial. There is no discussion of why HIV-infected patients have been excluded from the study. Published reviews such as those by Khan in 2010 and 2012 suggested that HIV-positive patients may require a longer duration of chemotherapy than those who are uninfected although much of the data derived from studies before the era of universal ART for patients who were coinfected.  Inclusion of patients from South Africa with HIV coinfection receiving ART would have been particularly informative in view of the high proportion of patients affected. A lower bacillary load and limited evidence of cavitated disease may well have different implications in this patient group. Adherence criteria Reference 7 on which the rationale for requiring approximately 90% of prescribed treatment to have been received is based on a study of patients with MDR-TB. Recent work by Rada Savic and colleagues has demonstrated this to be the case in patients receiving standard treatment as in the current trial. Use of MERM will presumably provide valuable data on the extent to which patients have opened the electronic pill box throughout the course of treatment. It does not mean the patients will always have taken their treatment every time they open the box! Are there any plans to ask patients about adherence either during the trial or at an exit interview, which can prove to be a more informative measure. Treatment outcome definitions I note the fact that solid media is being used for the primary analysis but liquid media may be used for secondary analysis. What was the rationale for using solid media? With regard to patients who have a single positive culture either at their last scheduled visit or prior to defaulting presumably this will be sufficient to classify such patients as having an unfavourable outcome, failure during treatment, or recurrence after stopping? How will other patients who are lost are during treatment be classified? Unassessable or unfavourable? Will those lost during follow-up be regarded as unassessable in the analysis? Summary The protocol of this PREDICT TB study by Chen and colleagues describes a prospective, multi-site, non-inferiority, randomized trial of treatment shortening in pulmonary TB (PTB) patients stratified by a refined early treatment completion criteria. The aim is to identify low-risk PTB patients who could be cured with a four-month course of anti-TB therapy (compared to the standard six-month regimen) by a combination of radiographic characteristics and markers of residual bacterial load i.e. PET/CT scan results at baseline and changes after one month of treatment and GeneXpert Ct values - a predictor of bacterial load. All eligible PTB patients will commence the standard treatment regimen, while participants who meet ALL criteria for early treatment completion as defined will be randomized at 16 weeks to either continue treatment to the full 24 weeks or to complete treatment at 16 weeks with clearly defined follow up protocol. PTB patients who did not qualify for early treatment completion criteria at baseline, or fail early treatment completion criteria at 1-month follow-up will continue standard treatment to 24 weeks. The primary outpoint was treatment success rate at 18 months between the randomized groups. This is a very well designed RCT with clear and unambiguous hypothesis, which is based on rational and credible scientific data. The study is justified and attempts to answer a very topical question relating to the quest for shortened treatment of pulmonary TB patients. Specific comments - The protocol presents a good background to the proposed study with a review of previous studies that have attempted to shorten duration of TB treatment and the outcome. Background is well written, hypothesis is clear and credible and the authors have provided a clear justification for the RCT. However, we will suggest a revision of the hypothesis to state clearly that the focus of the study is specifically ‘pulmonary tuberculosis’. The design of the RCT is clear and appropriate for the study aims and objectives in general. Particularly important is the very clear and unambiguous definition of criteria for early treatment completion. Having stated this, there are a number of minor methodological issues that need to be stated more clearly in the protocol: What was the sampling strategy for eligible participants at the study sites? There should be some statement about the qualification or specialization of the PET/CT readers to specify or indicate their minimum qualification and experience. Will the PET readers be blinded to the other patient characteristics including the clinical and laboratory results or not? Will the third reader who is to resolve any discrepant PET/CT scan be a more senior expert or this is to be assumed? There is no explicit mention in the protocol of what happens to patients who pass the early treatment completion criteria at baseline and at 4 weeks follow up, but found smear/culture and/or Xpert positive at 8 weeks or at 12 weeks follow-up (smear/culture only). One can assume that the likelihood of this happening might be low especially among the subjects with possible less severe disease at baseline, but this is still a very possible scenario that should be considered in the study schematic. ‘PK-MIC sub study’ – kindly spell out PK-MIC at first mention. Although we believe it refers to ‘pharmacokinetic’. The statistical plan is well described and very appropriate methods to assess the comparisons of the primary end points between the trial arms. Detailed sample size calculations also given. Very well written This protocol by Chen clearly describes a well design randomized trial of well-refined severity stratification criteria that could potentially identify low-risk pulmonary TB patients who are cured within 4 months of standard TB therapy. Overall, this is a well-written and justifiable clinical trial protocol and we will recommend that it be accepted with minor corrections. We have read this submission. We believe that we have an appropriate level of expertise to confirm that it is of an acceptable scientific standard. We thank the reviewers for their comments. We have responded point by point below. Specific comments - The protocol presents a good background to the proposed study with a review of previous studies that have attempted to shorten duration of TB treatment and the outcome. Background is well written, hypothesis is clear and credible and the authors have provided a clear justification for the RCT. However, we will suggest a revision of the hypothesis to state clearly that the focus of the study is specifically ‘pulmonary tuberculosis’. The design of the RCT is clear and appropriate for the study aims and objectives in general. Particularly important is the very clear and unambiguous definition of criteria for early treatment completion. Having stated this, there are a number of minor methodological issues that need to be stated more clearly in the protocol: Yes, PK is pharmacokinetic. MIC is minimum inhibitory concentration. What was the sampling strategy for eligible participants at the study sites? There should be some statement about the qualification or specialization of the PET/CT readers to specify or indicate their minimum qualification and experience. Will the PET readers be blinded to the other patient characteristics including the clinical and laboratory results or not? Will the third reader who is to resolve any discrepant PET/CT scan be a more senior expert or this is to be assumed? There is no explicit mention in the protocol of what happens to patients who pass the early treatment completion criteria at baseline and at 4 weeks follow up, but found smear/culture and/or Xpert positive at 8 weeks or at 12 weeks follow-up (smear/culture only). One can assume that the likelihood of this happening might be low especially among the subjects with possible less severe disease at baseline, but this is still a very possible scenario that should be considered in the study schematic. ‘PK-MIC sub study’ – kindly spell out PK-MIC at first mention. Although we believe it refers to ‘pharmacokinetic’.
  41 in total

1.  Evaluation of time to detection of Mycobacterium tuberculosis in broth culture as a determinant for end points in treatment trials.

Authors:  Marc Weiner; Thomas J Prihoda; William Burman; John L Johnson; Stefan Goldberg; Nesri Padayatchi; Paula Duran; Melissa Engle; Grace Muzanye; Roy D Mugerwa; A Willem Sturm
Journal:  J Clin Microbiol       Date:  2010-10-06       Impact factor: 5.948

2.  Assessment of the sensitivity and specificity of Xpert MTB/RIF assay as an early sputum biomarker of response to tuberculosis treatment.

Authors:  Sven O Friedrich; Andrea Rachow; Elmar Saathoff; Kasha Singh; Chacha D Mangu; Rodney Dawson; Patrick Pj Phillips; Amour Venter; Anna Bateson; Catharina C Boehme; Norbert Heinrich; Robert D Hunt; Martin J Boeree; Alimuddin Zumla; Timothy D McHugh; Stephen H Gillespie; Andreas H Diacon; Michael Hoelscher
Journal:  Lancet Respir Med       Date:  2013-07-01       Impact factor: 30.700

3.  Xpert MTB/RIF as a measure of sputum bacillary burden. Variation by HIV status and immunosuppression.

Authors:  Colleen F Hanrahan; Grant Theron; Jean Bassett; Keertan Dheda; Lesley Scott; Wendy Stevens; Ian Sanne; Annelies Van Rie
Journal:  Am J Respir Crit Care Med       Date:  2014-06-01       Impact factor: 21.405

4.  PET/CT imaging correlates with treatment outcome in patients with multidrug-resistant tuberculosis.

Authors:  Ray Y Chen; Lori E Dodd; Myungsun Lee; Praveen Paripati; Dima A Hammoud; James M Mountz; Doosoo Jeon; Nadeem Zia; Homeira Zahiri; M Teresa Coleman; Matthew W Carroll; Jong Doo Lee; Yeon Joo Jeong; Peter Herscovitch; Saher Lahouar; Michael Tartakovsky; Alexander Rosenthal; Sandeep Somaiyya; Soyoung Lee; Lisa C Goldfeder; Ying Cai; Laura E Via; Seung-Kyu Park; Sang-Nae Cho; Clifton E Barry
Journal:  Sci Transl Med       Date:  2014-12-03       Impact factor: 17.956

5.  Short-course (6 month) cooperative tuberculosis study in Poland: results 18 months after completion of treatment.

Authors:  M Zierski; E Bek; M W Long; D E Snider
Journal:  Am Rev Respir Dis       Date:  1980-12

6.  Early Changes by (18)Fluorodeoxyglucose positron emission tomography coregistered with computed tomography predict outcome after Mycobacterium tuberculosis infection in cynomolgus macaques.

Authors:  M Teresa Coleman; Pauline Maiello; Jaime Tomko; Lonnie James Frye; Daniel Fillmore; Christopher Janssen; Edwin Klein; Philana Ling Lin
Journal:  Infect Immun       Date:  2014-03-24       Impact factor: 3.441

7.  Persisting positron emission tomography lesion activity and Mycobacterium tuberculosis mRNA after tuberculosis cure.

Authors:  Stephanus T Malherbe; Shubhada Shenai; Katharina Ronacher; Andre G Loxton; Gregory Dolganov; Magdalena Kriel; Tran Van; Ray Y Chen; James Warwick; Laura E Via; Taeksun Song; Myungsun Lee; Gary Schoolnik; Gerard Tromp; David Alland; Clifton E Barry; Jill Winter; Gerhard Walzl; Lance Lucas; Gian van der Spuy; Kim Stanley; Lani Thiart; Bronwyn Smith; Nelita Du Plessis; Caroline G G Beltran; Elizna Maasdorp; Annare Ellmann; Hongjo Choi; Joonsung Joh; Lori E Dodd; Brian Allwood; Coenie Koegelenberg; Morné Vorster; Stephanie Griffith-Richards
Journal:  Nat Med       Date:  2016-09-05       Impact factor: 53.440

8.  Sputum culture conversion as a prognostic marker for end-of-treatment outcome in patients with multidrug-resistant tuberculosis: a secondary analysis of data from two observational cohort studies.

Authors:  Ekaterina V Kurbatova; J Peter Cegielski; Christian Lienhardt; Rattanawadee Akksilp; Jaime Bayona; Mercedes C Becerra; Janice Caoili; Carmen Contreras; Tracy Dalton; Manfred Danilovits; Olga V Demikhova; Julia Ershova; Victoria M Gammino; Irina Gelmanova; Charles M Heilig; Ruwen Jou; Boris Kazennyy; Salmaan Keshavjee; Hee Jin Kim; Kai Kliiman; Charlotte Kvasnovsky; Vaira Leimane; Carole D Mitnick; Imelda Quelapio; Vija Riekstina; Sarah E Smith; Thelma Tupasi; Martie van der Walt; Irina A Vasilyeva; Laura E Via; Piret Viiklepp; Grigory Volchenkov; Allison Taylor Walker; Melanie Wolfgang; Martin Yagui; Matteo Zignol
Journal:  Lancet Respir Med       Date:  2015-02-26       Impact factor: 30.700

9.  An evaluation of culture results during treatment for tuberculosis as surrogate endpoints for treatment failure and relapse.

Authors:  Patrick P J Phillips; Katherine Fielding; Andrew J Nunn
Journal:  PLoS One       Date:  2013-05-08       Impact factor: 3.240

10.  Limited role of culture conversion for decision-making in individual patient care and for advancing novel regimens to confirmatory clinical trials.

Authors:  Patrick P J Phillips; Carl M Mendel; Divan A Burger; Angela M Crook; Angela Crook; Andrew J Nunn; Rodney Dawson; Andreas H Diacon; Stephen H Gillespie
Journal:  BMC Med       Date:  2016-02-04       Impact factor: 8.775

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  8 in total

Review 1.  Tuberculosis Treatment Monitoring and Outcome Measures: New Interest and New Strategies.

Authors:  Jan Heyckendorf; Sophia B Georghiou; Nicole Frahm; Norbert Heinrich; Irina Kontsevaya; Maja Reimann; David Holtzman; Marjorie Imperial; Daniela M Cirillo; Stephen H Gillespie; Morten Ruhwald
Journal:  Clin Microbiol Rev       Date:  2022-03-21       Impact factor: 50.129

Review 2.  Assessing Response to Therapy for Nontuberculous Mycobacterial Lung Disease: Quo Vadis?

Authors:  Christopher Vinnard; Alyssa Mezochow; Hannah Oakland; Ross Klingsberg; John Hansen-Flaschen; Keith Hamilton
Journal:  Front Microbiol       Date:  2018-11-20       Impact factor: 5.640

3.  A semi-automatic technique to quantify complex tuberculous lung lesions on 18F-fluorodeoxyglucose positron emission tomography/computerised tomography images.

Authors:  Stephanus T Malherbe; Patrick Dupont; Ilse Kant; Petri Ahlers; Magdalena Kriel; André G Loxton; Ray Y Chen; Laura E Via; Friedrich Thienemann; Robert J Wilkinson; Clifton E Barry; Stephanie Griffith-Richards; Annare Ellman; Katharina Ronacher; Jill Winter; Gerhard Walzl; James M Warwick
Journal:  EJNMMI Res       Date:  2018-06-25       Impact factor: 3.138

4.  Increasing Number and Volume of Cavitary Lesions on Chest Computed Tomography Are Associated With Prolonged Time to Culture Conversion in Pulmonary Tuberculosis.

Authors:  Alfonso C Hernandez-Romieu; Brent P Little; Adam Bernheim; Marcos C Schechter; Susan M Ray; Destani Bizune; Russell Kempker
Journal:  Open Forum Infect Dis       Date:  2019-06-24       Impact factor: 3.835

Review 5.  Visualizing the dynamics of tuberculosis pathology using molecular imaging.

Authors:  Alvaro A Ordonez; Elizabeth W Tucker; Carolyn J Anderson; Claire L Carter; Shashank Ganatra; Deepak Kaushal; Igor Kramnik; Philana L Lin; Cressida A Madigan; Susana Mendez; Jianghong Rao; Rada M Savic; David M Tobin; Gerhard Walzl; Robert J Wilkinson; Karen A Lacourciere; Laura E Via; Sanjay K Jain
Journal:  J Clin Invest       Date:  2021-03-01       Impact factor: 14.808

6.  Radiological and functional evidence of the bronchial spread of tuberculosis: an observational analysis.

Authors:  Ray Y Chen; Xiang Yu; Bronwyn Smith; Xin Liu; Jingcai Gao; Andreas H Diacon; Rodney Dawson; Michele Tameris; Hong Zhu; Yahong Qu; Ruanqing Zhang; Shouguo Pan; Xiaowei Jin; Lisa C Goldfeder; Ying Cai; Kriti Arora; Jing Wang; Joel Vincent; Stephanus T Malherbe; Friedrich Thienemann; Robert J Wilkinson; Gerhard Walzl; Clifton E Barry
Journal:  Lancet Microbe       Date:  2021-10

Review 7.  Are We There Yet? Short-Course Regimens in TB and HIV: From Prevention to Treatment of Latent to XDR TB.

Authors:  Elisa H Ignatius; Susan Swindells
Journal:  Curr HIV/AIDS Rep       Date:  2020-12       Impact factor: 5.495

8.  Quantitative 18F-FDG PET-CT scan characteristics correlate with tuberculosis treatment response.

Authors:  Stephanus T Malherbe; Ray Y Chen; Patrick Dupont; Ilse Kant; Magdalena Kriel; André G Loxton; Bronwyn Smith; Caroline G G Beltran; Susan van Zyl; Shirely McAnda; Charmaine Abrahams; Elizna Maasdorp; Alex Doruyter; Laura E Via; Clifton E Barry; David Alland; Stephanie Griffith- Richards; Annare Ellman; Thomas Peppard; John Belisle; Gerard Tromp; Katharina Ronacher; James M Warwick; Jill Winter; Gerhard Walzl
Journal:  EJNMMI Res       Date:  2020-02-10       Impact factor: 3.138

  8 in total

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