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      Drug-resistant tuberculosis: is India ready for the challenge?

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          Summary box India contributes to one-fourth of the global burden of multidrug-resistant tuberculosis (MDR-TB) with inadequate diagnostic infrastructure for drug susceptibility testing (DST). A survey of anti-TB drug-resistance demonstrates high rates of resistance to first-line and second-line antitubercular drugs in new and previously treated cases of TB in India. The survey is likely underestimating the burden of antitubercular drug resistance in India. India needs more laboratories to meet the goal of universal DST. A multipronged strategy investing in laboratory capacity, addressing isoniazid monoresistance, designing empiric MDR-TB regimens, involving the private sector and improving airborne infection control will be necessary to bring drug-resistant TB under control. Introduction Tuberculosis (TB) kills close to half a million Indians every year.1 Additionally, a million ‘missing’ undiagnosed or inadequately diagnosed cases go unnotified annually.2 Not surprisingly, drug-resistant tuberculosis (DR-TB) is a significant problem, and India now has the most number of cases of multidrug-resistant tuberculosis (MDR)-TB in the world, contributing one-fourth of the global burden.1 The treatment of MDR-TB requires the use of toxic drugs, is long and expensive and has substantially lower success rates than for drug-sensitive TB.1 In this commentary, we review the burden of drug resistance in India considering recent data from India3 and discuss areas of focus necessary to combat DR-TB. What is the burden of DR-TB in India? Globally, 4.1% of new TB cases are reported to be MDR.1 Concordant with previous surveys, the First National Anti-Tuberculosis Drug Resistance survey conducted by the Indian Government in collaboration with the World Health Organization (WHO) and the United States Agency for International Development (USAID) showed that close to 23% of new cases have resistance to any drug with MDR-TB detected in 3%.3 Monoresistance to rifampin was not seen and resistance to isoniazid (INH) was highest (any 11%, monoresistance 4%), followed by resistance to pyrazinamide (any 7%, monoresistance 4%) and streptomycin (any 7%, monoresistance 2%).3 Among patients previously treated for TB, there were high levels of resistance to first-line drugs—tested isoniazid (any 25%, monoresistance 8%) followed by resistance to streptomycin (any 13%, monoresistance 2%), pyrazinamide (any 9%, monoresistance 4%) and ethambutol (any 7%, monoresistance 0.21%).3 Fluoroquinolones (FQ) are essential components of DR-TB regimens, and FQ resistance can lead to the development of extensively DR-TB (XDR-TB).4 Most recent surveys from India have reported rates of FQ resistance close to 21% in non-MDR patients and 36% among those with MDR-TB.4 In the resistance survey, equivalent or higher rates of FQ resistance (24%) were noted in new patients with TB with MDR-TB compared with previously treated TB cases (21%).3 India suffers from rampant empiric FQ use (including over-the-counter purchase) for a wide range of infections, compounded by poor regulatory capacity leading to widespread availability of counterfeit preparations. Additionally, the survey demonstrated that 7% of new patients with TB and 2% of previously treated patients were resistant to the aminoglycosides amikacin, capreomycin or kanamycin, which with FQs are vital drugs in the treatment of MDR-TB. Resistance to ethionamide and para-amino-salicylic acid were 11% each in newly treated patients and 7% and 4%, respectively, in previously treated patients. XDR-TB was found in 1.3% of surveyed samples. The high rates of drug resistance to both first-line and second-line drugs is alarming, but it is likely the survey is underestimating the true burden of resistance in India. The survey only included patients with smear-positive TB, excluding smear-negative TB and extrapulmonary TB, as well as patients diagnosed in jails and prisons. Most striking was the lack of involvement of the private sector, which may be treating more cases of TB than is currently estimated, with high rates of drug resistance reported from cities like Mumbai.5 6 The approximately 5300 patients that were sampled represent less than 0.2% of the 2.8 million annual cases of TB. Additionally, the 120 TB units sampled cover 1.3%–2.5% of the entire population; since the distribution of drug resistance in the country is not uniform, this sampling strategy may have excluded areas with high rates of DR-TB. This is reflected by the absence of primary MDR-TB cases in Haryana, Jammu and Kashmir, Karnataka, Meghalaya, Orissa and Telangana in the survey,3 whereas there were 3264 cases of MDR-TB cases reported to the government in 2017 as per the India Report 2018.7 Between 2015 and 2017, our hospital in Chhattisgarh, in rural central India, obtained phenotypic drug-susceptibility testing (DST) using Lowenstein-Jensen (LJ) media in 417 samples and found 8% of treatment-naive patients to have INH monoresistance and 3.5% to have MDR-TB. Laboratory capacity for diagnosis of DR-TB in India Phenotypic DST for TB is performed using solid culture (LJ) or liquid culture (MGIT 960), both of which require time (2–12 weeks), resources and expertise and hence are performed only in referral laboratories. Molecular assays such as Xpert MTB/RIF (Gene Xpert) and line probe assays (LPAs) detect resistance in hours compared with the weeks required for phenotypic DSTs. The Revised National Tuberculosis Control Programme (RNTCP) recommends that DST be performed only in those with a history of previous treatment for TB, or for those with risk factors for resistance. Under the National Strategic Programme for Tuberculosis 2017–2025 (NSP),8 the government intends to perform DST (phenotypic or molecular) on all TB samples, but at present universal DST is performed on samples from 257 of 712 districts in the country.7 India currently has 628 Gene Xpert machines and 74 RNTCP certified laboratories to perform susceptibility testing.7 In 2017, under the RNTCP, India performed 1.07 million Xpert MTB/RIF tests, 93 989 LPA tests, and second-line DST for 26 832 samples.7 However, to diagnose the estimated 2.8 million cases of TB and 150 000 cases of MDR-TB every year, the number of laboratories and the number of samples tested in each laboratory will need to be scaled up. Commercial molecular tests detect select resistance-conferring mutations and are currently unavailable for many second-line drugs. Whole-genome sequencing (WGS) studies from India have demonstrated novel mutations that may not be detected by commercial tests.9 In addition, with 238 mutations across 18 genetic loci responsible for resistance to 13 first-line and second-line drugs,10 detection of resistance to drugs other than rifampin may not be amenable to a simple molecular test. TB strains circulating in India differ from those in other parts of the world,9 and commercial tests may perform differently in India than they do elsewhere. In these situations, phenotypic DST may be the only way to detect resistance, for which building phenotypic DST capacity is vital. WGS offers great potential for the rapid and comprehensive diagnosis of resistance and is becoming routine for the identification of anti-TB drug resistance in the developed world. India is building the capacity to perform WGS at all six National TB Referral Laboratories. Investments in bioinformatics and multidisciplinary studies to determine significance of novel mutations will be necessary for WGS to impact clinical care.11 Ultimately, the goal should be to detect all cases of TB and DR-TB through universal culture and DST and develop the capacity to perform targeted sequencing or WGS to detect novel mutations. Is INH monoresistance being taken seriously enough? Nearly 90% of INH resistance in India is caused by KatG mutations, associated with high-level resistance and poor treatment outcomes12; the development of INH resistance precedes the development of MDR-TB.13 Initial INH resistance increases incidence rates of treatment failure and relapse compared with pan-sensitive strains (incidence rate ratio 10.9 and 1.8, respectively).14 Data from the most recent National workshop on DST-guided treatment in India reveals poor treatment success rates for INH monoresistant TB, ranging from 31% to 53%.2 Studies will need to define clinical risk factors for INH monoresistance, perform universal DST to allow detection of INH resistance in all cases, and conduct prospective trials to determine optimal treatment regimens for patients with INH monoresistance. Empiric treatment of MDR-TB and contacts Indian guidelines recommend treating previously treated TB cases as presumptive DR-TB. However, phenotypic DST results may take months, and the results of the current survey present the challenge in selecting an appropriate treatment regimen of 4–5 active drugs for previously treated TB cases given the delays in obtaining DST results. With high rates of FQ and streptomycin resistance, the best empiric regimen until DST results is unknown. Additionally, it is unclear what prophylactic regimens should be used for contacts of patients with MDR-TB. Further research to design empiric regimens for both these populations is essential. Involvement of the private sector An estimated 1 million cases of TB are not reported to the government every year, and the majority of these are believed to be in the private sector; the actual numbers may be 2–3 times higher.5 Additionally, the quality of TB care in the private sector is suboptimal with wide variations in knowledge and adherence to guidelines, increasing the risk of development of drug resistance.15 While TB was made a notifiable disease in 2012, fewer than 40% of cases from the private sector were notified to the RNTCP in 2017.7 Improving case notifications rates from the private sector and ensuring that patients receive high-quality care will be necessary to co DR-TB. Airborne transmission and infection control Contrary to the widespread belief that previous treatment is a major risk factor for MDR-TB, recent studies suggest that most MDR-TB is transmitted rather than acquired, accounting for 96% of new and 61% of previously treated cases of MDR-TB.16 Modelling studies estimate that 85% of TB in India in 2032 will be MDR-TB, all due to primary transmission.17 Healthcare facilities in India have poor airborne infection control systems, with only 10% of healthcare workers wearing N95 masks.18 This is reflected in the high prevalence of latent and active TB among healthcare workers in India.19 20 WGS studies have demonstrated transmission of TB between patients in healthcare facilities in India, suggesting they could serve as sites for spread of DR-TB.9 Improvements in infection control will reduce the transmission of TB (especially MDR-TB) within healthcare facilities. Identifying transmission networks in the community using traditional and molecular epidemiological methods will be necessary to locate hotspots that require targeted interventions. Conclusion India has set an ambitious goal of TB elimination by 2025. The large burden of DR-TB will limit progress towards that goal. Rarely, does the cliché ‘prevention is better than cure’ carry as much weight as it does with DR-TB. We believe that a multipronged strategy focusing on improving diagnostic capacity, guaranteeing high-quality treatment and preventing transmission will be central to meeting the challenge of DR-TB in India.

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          The number of privately treated tuberculosis cases in India: an estimation from drug sales data

          Summary Background Understanding the amount of tuberculosis managed by the private sector in India is crucial to understanding the true burden of the disease in the country, and thus globally. In the absence of quality surveillance data on privately treated patients, commercial drug sales data offer an empirical foundation for disease burden estimation. Methods We used a large, nationally representative commercial dataset on sales of 189 anti-tuberculosis products available in India to calculate the amount of anti-tuberculosis treatment in the private sector in 2013–14. We corrected estimates using validation studies that audited prescriptions against tuberculosis diagnosis, and estimated uncertainty using Monte Carlo simulation. To address implications for numbers of patients with tuberculosis, we explored varying assumptions for average duration of tuberculosis treatment and accuracy of private diagnosis. Findings There were 17·793 million patient-months (95% credible interval 16·709 million to 19·841 million) of anti-tuberculosis treatment in the private sector in 2014, twice as many as the public sector. If 40–60% of private-sector tuberculosis diagnoses are correct, and if private-sector tuberculosis treatment lasts on average 2–6 months, this implies that 1·19–5·34 million tuberculosis cases were treated in the private sector in 2014 alone. The midpoint of these ranges yields an estimate of 2·2 million cases, two to three times higher than currently assumed. Interpretation India's private sector is treating an enormous number of patients for tuberculosis, appreciably higher than has been previously recognised. Accordingly, there is a re-doubled need to address this burden and to strengthen surveillance. Tuberculosis burden estimates in India and worldwide require revision. Funding Bill & Melinda Gates Foundation.
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            Effect of Duration and Intermittency of Rifampin on Tuberculosis Treatment Outcomes: A Systematic Review and Meta-Analysis

            Introduction When rifampin was first introduced, it held the promise of exceptional potency as an agent for treatment of Mycobacterium tuberculosis (the cause of tuberculosis [TB]). A series of randomized trials, most conducted 20–35 y ago, established that rifampin-containing regimens could achieve high cure rates with as few as 6 mo of therapy, even when given intermittently [1]. These trials ushered in the modern era of short-course chemotherapy and established the scientific rationale for the standardized regimens currently recommended by the World Health Organization (WHO) [2]. WHO recommends direct observation of all doses of rifampin to prevent rifampin resistance, which is associated with much worse treatment outcomes, especially when combined with isoniazid resistance as multi-drug resistance (MDR) [3],[4]. This direct observation is facilitated by shorter duration of rifampin, and/or by intermittent dosing schedules. However, the frequency of all forms of drug resistance has steadily increased in many countries over the last 20 y [5]–[7]. The effectiveness of current empiric regimens in treating patients with unrecognized initial drug resistance of any form, including isoniazid mono-resistance, is unclear since this was not a focus of earlier trials. In particular, the adequacy of regimens that use rifampin only in the initial phase, or are intermittent throughout, may be questionable in settings with increasing drug resistance. In addition, the individual trials that form the scientific basis for current therapy were mostly small trials with limited power to evaluate the duration and intermittency of rifampin use. Hence meta-analysis of these trials can allow evaluation of factors that may have a small but clinically relevant effect on treatment outcomes. In light of these uncertainties, we have conducted a systematic review of treatment regimens for active TB, to provide a basis for recommendations for revised treatment guidelines. Review Questions Our systematic review aimed to address two specific questions: What are the rates of treatment failure, relapse, and acquired drug resistance if rifampin is given only in the initial intensive phase (the first 1–2 mo), compared to longer duration? What are the rates of treatment failure, relapse, and acquired drug resistance with different dose administration schedules of therapy? Methods Search Strategy We searched three electronic databases—PubMed, Embase, and the Cochrane CENTRAL database—for studies of treatment of active TB (i.e., disease). The search was restricted to randomized controlled trials published in English, French, and Spanish from 1965 up to June 2008. Our keywords included tuberculosis or TB, treatment or therapy, failure or relapse, or drug resistance. To identify additional relevant articles, we searched reference lists of identified original articles, recent systematic reviews [8]–[11], a review of all the British Medical Research Council trials [12], recent treatment guidelines [13],[14], and texts [15],[16]. Study Selection We included original reports of randomized controlled trials that reported treatment outcomes of bacteriologically confirmed failure and/or relapse. In selected trials, all patients had active pulmonary TB that was bacteriologically confirmed by AFB smear microscopy and/or mycobacterial culture, and had not been previously treated (i.e., were new cases). Treatment was standardized and included at least isoniazid and rifampin. We excluded trials or arms that included rifapentine or rifabutin therapy or non-drug therapy (e.g., immunotherapeutic vaccines). We also excluded trials, or arms, that involved once-weekly or mono-drug therapy, as these are now considered inadequate [13],[14]. The selection of articles for review was done independently by two investigators in three stages: titles alone, followed by abstracts, and then full text articles. Decisions were compared and disagreements about study selection were resolved by consensus or by involving a third reviewer. Data Extraction and Quality Assessment We reviewed all selected studies using standardized forms to extract data about patient population and characteristics, treatment regimens, pretreatment drug-susceptibility testing, supervision of treatment, funding source, and number of patients who started treatment, defaulted or were otherwise lost, died, failed, or relapsed. Two reviewers extracted the data, with disagreements resolved by consensus. We restricted the studies reviewed to randomized trials with bacteriologic confirmation of initial diagnosis, failure, and/or relapse—considered high-quality methods. Included studies were considered of high quality if less than 10% of patients refused therapy, dropped out, moved away, or were otherwise unaccounted for during therapy. In addition, randomized trials were considered high quality if they used an allocation concealment approach such as central randomization, numbered opaque sealed envelopes, sealed envelopes from a closed bag, numbered or coded bottles or containers, or if treatments were assigned by a central pharmacy. Outcomes In line with internationally accepted definitions [17], treatment failure was defined as sputum smears and/or cultures that were consistently positive or requiring treatment at the end of therapy (if less than 5 mo) or after at least 5 mo of therapy. Relapse was defined as recurrence of positive smears and/or cultures that required therapy after completion of treatment with apparent cure. Initial drug resistance was defined as pretreatment resistance in patients without a history of previous treatment, and categorized as pan-sensitive, isoniazid resistant, streptomycin resistant, or resistant to both—termed poly-drug resistance. Patients with initial rifampin resistance, including MDR, were excluded from analysis, if identified in the published report. Acquired drug resistance was defined as new or additional resistance to one or more of the TB drugs received, among failures or relapses. Data Synthesis and Analysis We were interested in understanding the efficacy of different regimens in preventing failure, relapse, and acquired drug resistance—end-points with objective microbiological definitions that were consistent across trials. Therefore, we used a per-protocol analysis, excluding patients who did not complete therapy because they developed serious adverse reactions, died, defaulted, dropped out, or were otherwise not accounted for. We restricted our first analysis to those trials within which regimens differed by the duration of rifampin, or dosing schedule (intermittency), but were otherwise comparable. To increase the number of trials with head-to-head comparisons analyzed, regimens were considered comparable even if they differed by ethambutol or thiacetazone. For each trial with head-to-head comparisons, we calculated cumulative incidence of failure, relapse, and acquired drug resistance, and the Mantel-Haenszel pooled difference in cumulative incidence and 95% confidence interval (CI) for each comparison [18]. One advantage of this method is that 0-cell corrections are not necessary to calculate the MH pooled risk difference [18]. We assessed heterogeneity of risk differences for each comparison, by estimating the I2 statistic and associated 95% CIs [19]. For this calculation, studies in which both arms had no events were corrected by 0.5. Because few trials with head-to-head comparisons were identified, in our second analysis we pooled results across all trials, effectively treating each arm within each trial as an independent cohort. For the across-trial analysis, we used a random effects meta-analysis to estimate the overall pooled estimates of cumulative incidence and 95% CI of failure, relapse, and acquired drug resistance using Proc Nlmixed in SAS (SAS Institute, Carey, NC, USA) [20]. We used the exact binomial likelihood approach [20], which uses a binomial distribution to approximate the distribution of the outcome of interest. This approach accounts for study size and includes a random effect to account for between-study heterogeneity. When proportions are the outcome measure, this approach has been demonstrated to produce less-biased estimates of the pooled effect and the between-study variability [20]. We assessed heterogeneity of proportions of participants with outcomes of interest, within subgroups defined by covariates of interest by estimating the I2 statistic and associated 95% CIs [19]. To calculate I2, 0-cells were corrected by 0.5. To minimize heterogeneity, we performed subgroup analyses stratified by predefined covariates of interest. These included duration and dosing schedule of rifampin, initial drug resistance, use of pyrazinamide or streptomycin, and number of drugs to which the organism was susceptible used in the initial or continuation phase (the initial intensive phase was defined as the initial period when more drugs were used—usually the first 1–2 mo—while the continuation phase was the remainder of therapy). We also examined the effect of supervision of therapy (i.e. directly observed therapy [DOT]), proportion that were smear positive, and default or other losses during treatment phase follow-up. Finally, meta-regression was used to estimate the effect of the treatment factors of interest, after adjustment for other potentially confounding patient and treatment covariates. Because the outcomes we were pooling were proportions rather than odds ratios, and because these proportions were usually small, we performed meta-regression using the Poisson model [21] that allowed for overdispersion (i.e., negative binomial regression). In this meta-regression, each arm in each study was the unit of analysis, cumulative incidence of TB treatment outcomes was the dependent variable, and TB treatment characteristics were the independent variables. An offset was used to account for size of study. In this approach, residual heterogeneity between studies is accounted for in the dispersion parameter. As such we interpreted the dispersion parameter as indicating there was no remaining unexplained heterogeneity if the value was not significantly different from zero and as minimal heterogeneity if the value was less than 1.0 [22]. Effect estimates of the meta-regression model were interpreted as adjusted incidence rate ratios (IRR) [21]. We tested the significance of each factor in the models using the likelihood ratio test. Two models were used. The first included rifampin duration, intermittent schedule, use of pyrazinamide and streptomycin, number of drugs in initial or continuation phases to which organisms were susceptible, length of follow-up after end of treatment (for relapse and acquired drug resistance), directly observed therapy (DOT), and non-completion of therapy because of protocol violations, patient refusal, default, moved, or lost. The second model included initial drug resistance with all the same factors, except the number of sensitive drugs in initial or continuation phases—which could not be included because of substantial co-linearity between these factors and drug resistance. Results Description of Included Trials As seen in Figure 1, 2,215 citations were identified from the search of the three electronic databases. Of these, 237 were retained for abstract review and 166 for full text review. An additional 135 full texts were identified from the search of the references of the original articles and other sources. After full text review, 75 papers describing 57 randomized trials were selected for this analysis. These trials, summarized in Appendix Table 1 in Text S1 [23]–[94], included a total of 21,472 participants in 312 different treatment arms. Of these, 612 patients died and 2,775 dropped out, were lost, or were otherwise not accounted for. This left 18,701 analyzable participants in all trials. Failure was analyzed for 18,085 participants in 56 studies; relapse was reported for 15,558 participants in 53 trials, while acquired drug resistance was reported for 11,400 participants in 39 trials (Table 1). All trials involved adults, and in 42 all patients were smear positive, although cultures were used to define study end-points in all but three trials [26],[90],[94]. Only four trials included HIV-infected persons, with a total of 522 HIV-infected participants. Rifampin dose was not stated in two trials [62],[94], was 450 mg/d in three trials with a total of 618 patients [76],[89],[95], and was 600 mg/d (or 10–12 mg/kg) in all the remaining studies. In 30 trials (52%) all treatment doses were supervised, and in 29 (51%) less than 10% refused, defaulted, or were lost during treatment. Randomization was described in 41 trials, and was adequate in 40, but not described in 16 trials. Median post-treatment follow-up was 24 mo (interquartile range: 18–30). 10.1371/journal.pmed.1000146.g001 Figure 1 Summary of literature search and study selection. 10.1371/journal.pmed.1000146.t001 Table 1 Summary of studies reviewed (all randomized controlled trials with rifampin-containing regimens in new cases). Characteristic By Study By Arm N % N % Language of publication English 54 95 299 96 French 3 5 14 4 Year when study began 1969–1979 26 45 178 56 1980–1989 16 28 104 33 1990–1999 13 24 26 9 2000–Present 2 3 5 2 Sponsorship Public 56 98 311 99 Corporate 1 2 2 1 Measured failure Yes 56 98 311 99 No 1 2 2 1 Measured relapse Yes 53 93 302 97 No 4 7 11 3 Measured acquired drug resistance Yes 39 69 264 84 No 18 31 49 16 Quality in treatment High (≤10% dropout/lost) 29 51 182 58 Poor (>10% dropout/lost) 28 49 131 42 Quality in follow-up High (≤10% lost) 40 67 217 72 Poor (>10% lost) 17 33 85 28 Quality of randomization Adequate 39 70 181 58 Not stated or inadequate 18 30 132 42 Blinding Single or double 4 7 14 4 None 53 93 299 96 Supervision of rifampin None/partial 27 47 49 16 All doses 30 53 264 84 Isoniazid Not used 0 0 1 1 Used 57 100 312 99 Pyrazinamide Not used 11 19 61 19 Used 46 81 252 81 Streptomycin Not used 28 49 101 32 Used 29 51 212 68 Use of second line drugs None 55 99 312 99 Yes – (1 drug) 2 1 2 1 Parameters Varied Within Studies – Summary by Arm Only N % Number of drugs used to which strains sensitive Initial intensive phase  1 2 1  2 68 23  3 153 52  4 or more 71 24 Continuation phase  0 or 1 70 24  2 144 50  3 or more 74 26 Drug sensitivity Unknown (Mix) 19 6 Pan-sensitive 128 41 INH resistance 68 22 Streptomycin 54 17 Poly-drug resistance 44 14 Rifampin use and duration 1–2 mo 72 23 3–4 mo 42 13 5–7 mo 178 57 8+ mo 21 7 Schedule of administration Daily throughout 161 51 Daily then thrice weekly 35 11 Daily then twice weekly 45 15 Thrice weekly throughout 70 22 Twice weekly throughout 2 1 Results of Head-to-Head Comparisons As seen in Table 2, in the studies with head-to-head comparisons, rates of failure (Table 2) were significantly higher in patients who received only 1–2 mo of rifampin than in patients who received longer durations of rifampin. Rates of relapse (Table 3) were progressively lower with longer duration of rifampin up to 8 mo or more. In the only trial which compared four different durations of rifampin (6 versus 9, 12, and 18 mo), all outcomes were the same with the three longer regimens [54],[86]. Acquired drug resistance (Table 4) was not associated with shorter duration of rifampin, but this outcome was uncommon and reported in fewer trials—limiting power. All five of the studies with head-to-head comparisons of intermittent schedules compared different regimens and schedules, so results could not be pooled (Table 5). 10.1371/journal.pmed.1000146.t002 Table 2 Pooled risk differences from direct head-to-head comparisons of rifampin duration or intermittent schedules in otherwise comparable regimens: Failure. Ref Regimensa Fail Non Fail Non Risk Difference 2 versus 3–4 mo 2 mo 3–4 mo [84],[110] 2SHRZ/2HZ 1 123 1 248 0.4% 2SHRZ/2HR [76],[93] 2SHRZ 0 84 0 81 0 3SHRZ Pooled risk difference (95% CI) 0.3% (0.9% to 1.4%) Overall I2 (95% CI) 0 (− , −) 2 versus 6 mo 2 mo 6 mo [43],[111] 2SHRZ/4HZ 3 206 0 212 1.4% SHRZ/4HR [26] 2EHRZ/6HE 41 771 12 371 1.8% 2EHRZ/4HR [112] 2HRZE/4[HRZ]2 3 41 3 51 1.3% 2HRZE/4[HZE]2 Pooled risk difference (95% CI) 1.7% (0% to 3.4%) Overall I2 (95% CI) 0 (0 to 0.73) 4 versus 6 mo 4 mo 6 mo [37]–[39] 2SHRZ/2HR 0 91 1 89 −1.1% 2SHRZ/4HR [37]–[39] 2SHRZ/2HRZ 0 91 0 89 0% 2SHRZ/4HRZ [63] 2SHRZ/2HR/4H 4 564 1 518 0.5% 2SHRZ/4HR [87] 2HRZ/2HR 0 59 1 53 −2.0% 2HRZ/4[HR]3 [90] 2HRZE/2HR 0 33 3 64 −4.5% 2HRZE/4HR [91] 2SHRZ/2HR 0 79 0 83 0% 2SHRZ/4HR [91] 2SHRZ/2HRZ 0 83 0 87 0% 2SHRZ/4HRZ Pooled risk difference (95% CI) −0.1% (−0.7% to 0.4%) Overall I2 (95% CI) 0.10 (0 to 0.7) 6 versus 9+ mo 6 mo 9+ mo [48] 6[SHRZ]3 1 67 4 50 −5.9% 8[SHRZ]3 [72] 2HRZE/4[HR]2 5 129 4 131 0.8% 2HRZE/10[HR]2 [85] 2HRZE/4HR 1 41 0 37 2.4% 2HRZE/7HR [54],[55] 2EHR/4HR 1 116 0 282 0.9% 2EHR/7,10,16HR [54],[55] 2SHR/4HR 0 74 0 213 0% 2SHR/7,10,16HR Pooled risk difference (95% CI) −0.2% (−1.9% to 1.5%) Overall I2 (95% CI) 0 (0 to 0.75) Seventeen head-to-head comparisons of rifampin duration. For one study [54],[55], results with 9-, 12-, and 18-mo regimens were the same so they were combined. a Regimen abbreviations: H, isoniazid; R, rifampin; Z, pyrazinamide; E, ethambutol; S, streptomycin. Letters to left of “/” indicate regimen in initial intensive phase; letters to right of “/” indicate regimen in continuation phase. First number signifies the months of initial phase of treatment and the second number signifies the months of continuation phase treatment. [ ] indicates intermittent therapy; subscript number after [ ] indicates number of doses per week. 10.1371/journal.pmed.1000146.t003 Table 3 Pooled risk differences from direct head-to-head comparisons of rifampin duration or intermittent schedules in otherwise comparable regimens: Relapse. Ref Regimensa Relapse Non Relapse Non Risk Difference 2 versus 3–4 mo 2 mo 3–4 mo [84],[110] 2SHRZ/2HZ 38 78 30 200 19.7% 2SHRZ/2HRZ [76] 2SHRZ 20 64 8 73 13.9% 3SHRZ Pooled risk difference (95% CI) 17.7% (10.3% to 25% Overall I2 (95% CI) 0 (− , −) 2 versus 6 mo 2 mo 6 mo [43],[113] 2SHRZ/4HZ 13 168 6 171 3.8% 2SHRZ/4HR [26] 2EHRZ/6HE 57 344 6 236 11.7% 2EHRZ/4HR [112] 2HRZE/4[HRZ]2 20 21 6 45 37% 2HRZE/4[HZE]2 Pooled risk difference (95% CI) 11.2% (8.1% to 14.3%) Overall I2 (95% CI) 0.88 (0.66 to 0.96) 4 versus 6 mo 4 mo 6 mo [37]–[39] 2SHRZ/2HR 7 80 2 83 5.7% 2SHRZ/4HR [37]–[39] 2SHRZ/2HRZ 10 79 0 82 11.2% 2SHRZ/4HRZ [63] 2SHRZ/2HR/4H 38 526 23 495 2.3% 2SHRZ/4HR [87] 2HRZ/2HR 0 57 0 52 0% 2HRZ/4[HR]3 [90] 2HRZE/2HR 3 30 6 58 −0.3% 2HRZE/4HR [91] 2SHRZ/2HR 4 70 1 79 4.2% 2SHRZ/4HR [91] 2SHRZ/2HRZ 8 72 0 84 10.0% 2SHRZ/4HRZ Pooled risk difference (95% CI) 6.9% (3.7% to 10.0%) Overall I2 (95% CI) 0.59 (0.05 to 0.82) 6 vs. 9+ mo 6 mo 9+ mo [48] 6[SHRZ]3 12 44 2 40 17% 8[SHRZ]3 [72] 2HRZE/4[HR]2 9 59 1 53 11.4% 2HRZE/10[HR]2 [74] 2HRZ/4HR 10 375 6 225 0% 2HRZ/7HR [85] 2HRZE/4HR 1 16 1 14 −0.8% 2HRZE/7HR [54],[55] 2EHR/4HR 6 96 0 213 5.9% 2EHR/7,10,16HR [54],[55] 2SHR/4HR 2 52 2 160 2.5% 2SHR/7,10,16HR Pooled risk difference (95% CI) 4.0% (1.8% to 6.2%) Overall I2 (95% CI) 0.65 (0.18 to 0.86) Eighteen head-to-head comparisons of rifampin duration. For one study [54],[55], results with 9-, 12-, and 18-mo regimens were the same so they were combined. a Regimen abbreviations: H, isoniazid; R, rifampin; Z, pyrazinamide; E, ethambutol; S, streptomycin. Letters to left of “/” indicate regimen in initial intensive phase; letters to right of “/” indicate regimen in continuation phase. First number signifies the months of initial phase of treatment and the second number signifies the months of continuation phase treatment. [ ] indicates intermittent therapy; subscript number after [ ] indicates number of doses per week. 10.1371/journal.pmed.1000146.t004 Table 4 Pooled risk differences from direct head-to-head comparisons of rifampin duration or intermittent schedules in otherwise comparable regimens: Acquired drug resistance. Ref Regimensa ADR Non ADR Non Risk Difference 2 versus 4 mo 2 mo 4 mo [76] 2SHRZ 0 84 0 81 0 3SHRZ Pooled risk difference (95% CI) 0% Overall I2 (95% CI) 0 (– , –) 2 versus 6 mo 2 mo 6 mo [43],[114] 2SHRZ/4HZ 3 206 2 210 0.5% 2SHRZ/4HR Pooled risk difference (95% CI) 0.5% (−1.5% to 2.5%) Overall I2 (95% CI) 0 (– , –) 4 versus 6 mo 4 mo 6 mo [37]–[39] 2SHRZ/2HR 1 90 1 89 0% 2SHRZ/4HR [37]–[39] 2SHRZ/2HRZ 0 91 0 89 0% 2SHRZ/4HRZ [63] 2SHRZ/2HR/4HR 5 563 1 518 0.7% 2SHRZ/4HR [91] 2SHRZ/2HR 0 79 0 83 0% 2SHRZ/4HR [91] 2SHRZ/2HRZ 0 83 0 87 0% 2SHRZ/4HRZ Pooled risk difference (95% CI) 0.4% (−0.2% to 1.0%) Overall I2 (95% CI) 0 (0 to 0.74) 6 versus 9 mo 6 mo 9 mo [48] 6[SHRZ]3 2 66 4 50 −4.5% 8[SHRZ]3 [85] 2HRZE/4HR 2 40 2 35 −0.6% 2HRZE/7HR [54],[55] 2EHR/4HR 0 117 0 282 0% 2EHR/7,10,16HR [54],[55] 2SHR/4HR 0 74 0 213 0% 2SHR/7,10,16HR Pooled risk difference (95% CI) −0.8% (−2.4% to 0.9%) Overall I2 (95% CI) 0 (0 to 0.77) Eleven head-to-head comparisons of rifampin duration. For one study [54],[55]—results with 9-, 12-, and 18-mo regimens were the same—so they were combined. a Regimen abbreviations: H, isoniazid; R, rifampin; Z, pyrazinamide; E, ethambutol; S, streptomycin. Letters to left of “/” indicate regimen in initial intensive phase; letters to right of “/” indicate regimen in continuation phase. First number signifies the months of initial phase of treatment and the second number signifies the months of continuation phase treatment. [ ] indicates intermittent therapy; subscript number after [ ] indicates number of doses per week. 10.1371/journal.pmed.1000146.t005 Table 5 Pooled risk differences from direct head-to-head comparisons of rifampin duration or intermittent schedules otherwise comparable regimens. Reference Drug Resistance Patterns Treatment Regimens a Treated (N) Failed (N) Relapsed (N)b ADR (N)b [115],[116] Pan-sensitive 2HRE/4[HR]2 93 0 16 0 2HRE/4[HRE]2 96 0 6 0 6HRE 98 0 12 0 [28],[40],[41] Pan-sensitive, STREP, INH, PDR 6HRZE 199 0 6 0 6[HRZE]3 199 1 8 0 [26] Pan-sensitive plus all forms of resistance except MDR 2EHRZ/6HE 402 18 1 n/a 2[EHRZ]3/6HE 410 22 1 n/a [87] Pan-sensitive 2HRZ/2HR 158 0 0 n/a 2HRZ/2[HR]3 102 0 1 n/a [117] Pan-sensitive plus all forms of resistance except MDR 3[HRZE]5/3.5[HR]5 39 0 n/a n/a 6.5HRZ (with FDC) 67 0 n/a n/a Treatment outcomes are from five studies with direct head-to head-comparisons of intermittency schedules (and otherwise comparable regimens). Meta-analysis not done, as no schedules were the same. a Regimen abbreviations: H, isoniazid; R, rifampin; Z, pyrazinamide; E, ethambutol; S, streptomycin. Letters to left of “/” indicate regimen in initial intensive phase; letters to right of “/” indicate regimen in continuation phase. First number signifies the months of initial phase of treatment and the second number signifies the months of continuation phase treatment. [ ] indicate intermittent therapy; subscript number after [ ] indicates number of doses per week. a n/a, not available, meaning relapse and/or acquired drug resistance (ADR) not measured. INH, isoniazid resistant; STREP, streptomycin resistant; PDR, poly-drug resistant (streptomycin+isoniazid resistant); FDC, fixed drug combinations. Pooled Results across Trials When results were pooled across all 57 trials, rifampin was given for 1 mo in 12 arms, 2 mo in 60, 5 mo in 6, 6 mo in 170, and 7 mo in 2. Regimens with 1–2 mo of rifampin had higher failure (Table 6) and relapse (Table 7) rates than regimens with longer duration rifampin. Relapse rates were progressively lower with longer rifampin duration, up to 8 mo or more of rifampin (see Figure S1). 10.1371/journal.pmed.1000146.t006 Table 6 Stratified estimates of treatment failures in RCT in new cases. Factor Studies (N) Events/Participants (N) Pooled Event Rate (Across All Trials) 95% CI I2 (95% CI) Duration of rifampin  Rifampin 1–2 mo 72 94/4,133 1.8 0.2 to 3.3 0.36 (0.15 to 0.52)  Rifampin 3–5 mo 42 16/2,508 0.3 0 to 0.6 0 (0 to 0.35)  Rifampin 6–7 mo 178 150/10,060 0.4 0.1 to 0.7 0 (0 to 0.19)  Rifampin 8+ mo 18 10/1,384 0.2 0 to 0.6 0 (0 to 0.49) Use of intermittent therapy  Daily throughout 159 179/11,510 0.4 0.2 to 0.7 0.07 (0 to 0.24)  Daily then thrice weekly 35 4/961 0.3 0 to 1.0 0 (0 to 0.38)  Daily then twice weekly 46 49/2,749 1.2 0.1 to 2.4 0.21 (0 to 0.45)  Thrice weekly throughouta 70 38/2,865 0.5 0 to 1.0 0 (0 to 0.28) Initial drug resistance  DST not done/reported 19 78/2,105 2.2 0 to 4.4 0 (0 to 0.48)  Sensitive to all TB drugs 126 120/14,900 0.3 0.1 to 0.4 0 (0 to 0.21)  Isoniazid resistance 67 25/477 2.8 0.7 to 5.0 0 (0 to 0.29)  Streptomycin resistance 54 6/316 1.3 0 to 2.7 0 (0 to 0.31)  INH+streptomycin resistant (PDR) 44 41/287 8.3 1.9 to 14.7 0 (0 to 0.34) Duration of pyrazinamide  No pyrazinamide 59 97/4,831 0.3 0 to 0.6 0.30 (0.03 to 0.49)  1–3 mo 139 124/8,287 0.6 0.2 to 1.0 0 (0 to 0.21)  4+ mo 112 49/4,967 0.5 0.1 to 0.8 0 (0 to 0.23) Duration of streptomycin  No streptomycin 100 188/7,907 0.6 0.2 to 0.9 0.18 (0 to 0.36)  1–3 mo 117 44/6,328 0.4 0.1 to 0.6 0 (0 to 0.23)  4+ mo 93 38/3,850 0.5 0 to 0.9 0 (0 to 0.25) Number of drugs to which strains susceptible b Initial phase  0–1 drugs 2 10/29 33.2 0 to 103.5 0 (–, –)  2 drugs 66 114/1,782 2.8 0.2 to 5.2 0.52 (0.36 to 0.63)  3 drugs 151 43/5,664 0.3 0 to 0.5 0 (0 to 0.20)  4 drugs 72 25/8,505 0.1 0 to 0.1 0 (0 to 0.28) Continuation phase  0–1 drugs 69 54/588 2.6 0 to 6.1 0 (0 to 0.28)  2 drugs 142 113/9,838 0.2 0.1 to 0.4 0 (0 to 0.20)  3 or more drugs 74 25/5,528 0.1 0 to 0.2 0 (0 to 0.27) Supervision of therapy  All doses fully supervised 232 145/10,446 0.4 0.1 to 0.7 0 (0 to 0.16)  None or partial DOT 78 125/7,639 0.4 0.1 to 0.7 0.19 (0 to 0.39) Completion of therapy  Good (≤10% dropouts) 181 102/11,837 0.3 0.1 to 0.5 0 (0 to 0.19)  Poor (>10% dropouts) 129 168/6,248 0.9 0.3 to 1.5 0.25 (0.07 to 0.40) Event rate and 95% CI are in bold if confidence intervals for two or more strata do not overlap. a In all but one trial, if therapy was intermittent initially, the same schedule was continued throughout therapy. b In a few trials, the number of drugs was the same throughout—these were classified according to the starting regimen. 10.1371/journal.pmed.1000146.t007 Table 7 Stratified estimates of relapse in RCT in new cases. Factor Studies (N) Events/Participants (N) Pooled Event Rate (Across All Trials) 95% CI I2 (95% CI) Overall Duration of rifampin  Rifampin 1–2 mo 70 367/3,349 16.0 11.1 to 20.9 0.67 (0.58 to 0.74)  Rifampin 3–5 mo 42 185/2,389 7.1 4.5 to 9.7 0.65 (0.52 to 0.75)  Rifampin 6–7 mo 171 364/8,639 3.8 2.9 to 4.7 0 (0 to 0.19)  Rifampin 8+ mo 18 14/1,181 1.0 0.2 to 1.7 0 (0 to 0.46) Use of intermittent therapy  Daily throughout 153 566/9,829 4.8 3.6 to 6.0 0.56 (0.49 to 0.64)  Daily then thrice weekly 34 33/907 2.9 0.7 to 5.2 0 (0 to 0.38)  Daily then twice weekly 44 181/2,367 7.3 4.0 to 10.7 0.6 (0.45 to 0.71)  Thrice weekly throughouta 70 150/2,455 5.7 3.1 to 8.3 0.23 (0 to 0.43) Initial drug resistance  DST not done/reported 17 124/1,337 7.8 3.0 to 12.5 0.82 (0.73 to 0.88)  Sensitive to all TB drugs 123 684/13,302 3.7 2.8 to 4.7 0.66 (0.59 to 0.72)  Isoniazid resistance 65 60/403 11.4 6.5 to 16.2 0 (0 to 0.28)  Streptomycin resistance 54 36/299 9.7 4.6 to 14.9 0 (0 to 0.32)  INH+streptomycin resistant (PDR) 42 26/217 10.1 4.2 to 15.9 0 to (0 to 0.34) Duration of pyrazinamide  No pyrazinamide 56 197/3,532 5.1 2.8 to 7.4 0.67 (0.58 to 0.75)  1–3 mo 136 445/7,539 4.9 3.5 to 6.4 0.46 (0.34 to 0.56)  4+ mo 109 288/4,487 6.1 3.9 to 8.2 0.38 (0.22 to 0.51) Duration of streptomycin  No streptomycin 95 286/6,277 2.7 1.8 to 3.6 0.44 (0.29 to 0.56)  1–3 mo 115 441/5,680 7.5 5.5 to 9.6 0.65 (0.61 to 0.73)  4+ mo 91 203/3,601 5.6 3.4 to 7.7 0.27 (0.06 to 0.44) Number of drugs to which strains susceptible b Initial phase  0–1 drugs 2 2/17 9.3 0.0 to 30.2 0 (–, –)  2 drugs 63 72/1,210 6.6 2.7 to 10.4 0.06 (0 to 0.31)  3 drugs 148 284/5,191 4.1 2.6 to 5.6 0.36 (0.22 to 0.47)  4 drugs 71 448/7,803 4.1 2.4 to 5.8 0.66 (0.57 to 0.74) Continuation phase  0–1 drugs 66 56/487 7.6 3.3 to 11.9 0 (0 to 0.28)  2 drugs 140 438/8,884 3.8 2.5 to 5.1 0.54 (0.45 to 0.62)  3 or more drugs 72 307/4,824 4.5 2.4 to 6.5 0.54 (0.40 to 0.65) Supervision of therapy  All doses fully supervised 225 693/9,323 7.3 5.8 to 8.8 0.48 (0.39 to 0.55)  None or partial DOT 76 237/6,235 2.4 1.6 to 3.2 0.43 (0.26 to 0.56) Completion of therapy  Good (≤10% dropouts) 175 640/10,340 5.5 4.1 to 6.8 0.56 (0.48 to 0.63)  Poor (>10% dropouts) 126 290/5,218 4.6 3.2 to 6.1 0.42 (0.29 to 0.53) Event rate and 95% CI are in bold if confidence intervals for two or more strata do not overlap. a In all but one trial, if therapy was intermittent initially, the same schedule was continued throughout therapy. b In a few trials the number of drugs was the same throughout—these were classified according to the starting regimen. With regard to the different intermittent schedules compared, evidence regarding therapy given twice weekly throughout was limited to a single study of 223 patients who received 12 mo of isoniazid and rifampin—daily or twice weekly [23],[27]. Rates of failure, relapse, and acquired drug resistance were less than 1%. Because this was a single study, these results could not be pooled and are not considered further in stratified or multivariate analyses. The other schedules, of daily, daily then thrice weekly, daily then twice weekly, and thrice weekly throughout, were evaluated in numerous studies. As seen in Tables 6– 8, there were no significant differences in outcomes between these four different treatment schedules. 10.1371/journal.pmed.1000146.t008 Table 8 Stratified estimates of acquired drug resistance in RCT in new cases. Factor Arms (N) Events/Participants (N) Pooled Event Rate (Across All Trials) 95% CI I2 (95% CI) Overall Rifampin use a  Rifampin 1–2 mo 61 41/2,847 0.8 0 to 1.6 0 (0 to 0.28)  Rifampin 3–5 mo 33 10/1,932 0.3 0 to 0.6 0 (0 to 0.35)  Rifampin 6–7 mo 146 60/7,180 0.4 0.1 to 0.7 0 (0 to 0.19)  Rifampin 8+ mo 17 6/1,249 0.2 0 to 0.5 0 (0 to 0.46) Use of intermittent therapy a  Daily throughout 125 67/8,541 0.3 0.1 to 0.6 0 (0 to 0.20)  Daily then thrice weekly 28 3/636 0.6 0 to 1.8 0 (0 to 0.38)  Daily then twice weekly 36 12/1,748 0.4 0 to 1.0 0 (0 to 0.34)  Thrice weekly throughout 68 35/2,283 0.9 0 to 2.0 0 (0 to 0.28) Initial drug resistance  Sensitive to all TB drugs 106 70/12,256 0.3 0.1 to 0.4 0 (0 to 0.22)  Isoniazid resistance 58 13/380 2.4 0.5 to 4.4 0 (0 to 0.29)  Streptomycin resistance 52 12/313 2.6 0.3 to 5.0 0 (0 to 0.32)  INH+streptomycin resistant (PDR) 41 22/259 5.7 1.3 to 10.1 0 (0 to 0.34) Duration of pyrazinamide  No pyrazinamide 48 26/3,662 0.2 0 to 0.3 0 (0 to 0.30)  1–3 mo 113 46/5,536 0.5 0.1 to 0.9 0 (0 to 0.20)  4+ mo 96 45/4,010 0.5 0.1 to 1.0 0 (0 to 0.23) Duration of streptomycin  No streptomycin 68 31/4,314 0.3 0 to 0.5 0 (0 to 0.24)  1–3 mo 101 51/5,585 0.4 0.1 to 0.7 0 (0 to 0.23)  4+ mo 88 35/3,309 0.8 0.1 to 1.6 0 (0 to 0.25) Number of drugs to which strains susceptible b Initial phase  0–1 drugs 1 6/17 34.5 0 to 107.7 0 (–, –)  2 drugs 57 26/919 2.8 0.6 to 5.0 0 (0 to 0.29)  3 drugs 136 47/4,899 0.5 0.2 to 0.8 0 (0 to 0.20)  4 drugs 63 38/7,373 0.2 0 to 0.3 0 (0 to 0.28) Continuation phase  0–1 drugs 62 26/511 2.8 0.4 to 5.3 0 (0 to 028)  2 drugs 126 65/8,037 0.4 0.1 to 0.6 0 (0 to 0.20)  3 or more drugs 63 26/4,634 0.2 0 to 0.4 0 (0 to 0.27) Supervision of therapy  All doses fully supervised 200 101/8,364 0.7 0.3 to 1.2 0 (0 to 0.17)  None or partial DOT 57 16/4,844 0.1 0 to 0.3 0 (0 to 0.27) Completion of therapy  Good (≤10% dropouts) 148 71/9,483 0.3 0.1 to 0.5 0 (0 to 0.19)  Poor (>10% dropouts) 109 46/3,725 1.1 0.3 to 1.8 0 (0 to 0.22) Event rate and 95% CI are in bold if confidence intervals for two or more strata do not overlap. a In all but one trial, if therapy was intermittent initially, the same schedule was continued throughout therapy. b In a few trials the number of drugs was the same throughout—these were classified according to the starting regimen. Of the other factors considered, initial drug resistance was associated with increased risk of failure, relapse, and acquired drug resistance. In the presence of initial isoniazid or isoniazid and streptomycin resistance (poly-drug resistance ), regimens using 1–2 mo of rifampin had failure rates of 6.5% (95% CI: 0.7%–12.3%) or 29% (10%–53%), respectively, in comparison with 0.2% (0%–0.5%) in pan-sensitive TB, and relapse rates of 38% (29%–46%) or 27% (10%–44%), respectively, compared to 8.2% (4.5%–11.9%) in pan-sensitive TB. Acquired drug resistance was also increased if there was initial drug resistance, but this effect appeared similar with all durations of rifampin. Interestingly, failure and acquired drug resistance were progressively lower with use of more drugs to which the organisms were sensitive in the initial phase (up to four drugs), and also associated (but less strongly) with the number of drugs to which the organisms were sensitive in the continuation phase. Meta-Regression When adjusted for potentially confounding treatment factors in multivariate regression, regimens with 1–2 mo of rifampin were associated with significantly higher failure, relapse, and acquired drug resistance rates than the reference group of 6 mo of rifampin (Table 9). Interestingly, adjusted relapse rates were lower with regimens using rifampin for at least 8 mo than with the 6-mo rifampin reference group. None of the intermittent schedules was significantly associated with failure or relapse, although acquired drug resistance was increased with two of the three intermittent regimens. Streptomycin use was protective against failure, relapse, and acquired drug resistance, while pyrazinamide use was protective only for relapse. 10.1371/journal.pmed.1000146.t009 Table 9 Adjusted incidence rate ratios of failure, relapse, and acquired drug resistance (from negative binomial regression). Factor Failure IRR (95% CI) Relapse IRR (95% CI) Acquired Drug Resistancea IRR (95% CI) Duration of rifampin b  1–2 mo 5.8 (2.9 to 11.0) 3.6 (2.5 to 5.3) 4.6 (2.0 to 0.4)  3–4 mo 1.3 (0.6 to 3.0) 2.6 (1.6 to 4.0) 1.2 (0.4 to 3.1)  5–7 mo 1.0 (reference) 1.0 (reference) 1.0 (reference)  8+ mo 2.0 (0.8 to 4.9) 0.4 (0.2 to 0.7) 2.1 (0.8 to 5.3) Overall significance (p value)c (<0.0001) (<0.0001) (<0.002) Schedule of drug administration b  Daily throughout 1.0 (reference) 1.0 (reference) 1.0 (reference)  Daily then thrice weekly 0.7 (0.2 to 2.1) 1.0 (0.6 to 1.5) 0.7 (0.2 to 2.6)  Daily then twice weekly 0.9 (0.5 to 1.6) 0.8 (0.5 to 1.2) 0.5 (0.3 to 1.2)  Thrice weekly throughout 0.7 (0.3 to 1.4) 1.2 (0.8 to 1.6) 2.4 (1.05 to 5.5) Overall significance (p value)c (0.66) (0.38) (0.02) Other Factors Initial drug resistance d  DST not done/reported 3.3 (1.5 to 7.2) 3.0 (1.6 to 4.9) N/A  Pan-sensitive strain 1.0 (reference) 1.0 (reference) 1.0 (reference)  Isoniazid resistant 10.9 (5.9 to 20) 1.8 (1.2 to 2.6) 5.1 (2.3 to 11.0)  Streptomycin resistant 3.9 (1.4 to 11.0) 1.4 (0.9 to 2.2) 4.1 (1.6 to 10.0)  Poly-drug resistant (PDR) 33 (16 to 62) 1.8 (1.1 to 2.9) 10.0 (4.5 to 22.1) Overall significance (p value)c (<0.0001) (<0.0001) (<0.0001) Use of pyrazinamide b  Pyrazinamide not used 1.0 (reference) 1.0 (reference) 1.0 (reference)  Pyrazinamide used 4.7 (2.4 to 9.0) 0.7 (0.4 to 0.95) 2.4 (1.1 to 4.9) Overall significance (p value)c (<0.0001) (0.04) (0.02) Use of streptomycin b  Streptomycin not used 1.0 (reference) 1.0 (reference) 1.0 (reference)  Streptomycin used 0.3 (0.2 to 0.6) 0.9 (0.6 to 1.3) 0.7 (0.4 to 1.3) Overall significance (p value)c (0.0003) (0.67) (0.3) Number of drugs to which strains susceptible* Initial phase  0–1 drugs 99 (33 to 99) 1.6 (0.2 to 11.0) 74 (8.1 to 99)  2 drugs 20 (8.2 to 49) 1.1 (0.6 to 1.8) 6.7 (2.8 to 16)  3 drugs 2.6 (1.3 to 5.0) 1.1 (0.8 to 1.5) 2.9 (1.5 to 5.5)  4 or more drugs 1.0 (reference) 1.0 (reference) 1.0 (reference) Overall significance (p value)c (<0.0001) (0.9) (0.0004) Continuation phase  0–1 drugs 1.1 (0.4 to 2.6) 1.2 (0.7 to 2.0) 2.9 (1.1 to 7.3)  2 drugs 0.5 (0.2 to 0.9) 0.8 (0.5 to 1.05) 1.7 (0.9 to 3.2)  3 or more drugs 1.0 (reference) 1.0 (reference) 1.0 (reference) Overall significance (p value)c (0.01) (0.08) (0.08) a Acquired drug resistance in both failure and relapse cases combined. b Adjusted estimates of Incidence Rate Ratios (IRR) from multivariate negative binomial regression with model that included all variables indicated, plus length of follow-up after end of treatment (for relapse and acquired drug resistance), supervision of therapy (DOT), and non-completion of therapy because of protocol violations, patient refusal, default, moved, or lost. Estimates that are statistically significant are in bold. c Overall significance of each factor in multi-variate models, from log likelihood ratio test. d Adjusted estimates of IRR from second model that included initial drug resistance, and all the same factors, but not the number of sensitive drugs in initial or continuation phases. These could not be included because of substantial co-linearity with drug resistance. The proportion smear positive, proportion HIV infected, and duration of post-treatment follow-up were not associated with treatment outcomes and were not included in final regression models. Poor completion of treatment was associated with failure or relapse, whereas supervision of therapy was not; both factors were included in final multivariate models, although estimates are not shown. Dispersion estimates for all three final models were less than 1, suggesting that the treatment factors included in these models accounted for the majority of the heterogeneity in outcomes seen. Discussion In this review of 57 trials with rifampin-containing regimens, use of rifampin only initially rather than throughout treatment was associated with worse treatment outcomes (higher rates of failure, relapse, and acquired drug resistance). Thrice-weekly intermittent dosing schedules during the initial treatment phase were associated with increased adjusted risk of acquired drug resistance, but not relapse or failure. Initial drug resistance was strongly associated with increased risk of poor treatment outcomes, particularly if rifampin was used only in the initial intensive phase. These findings have important implications for TB treatment. The most important finding of this review is that all three treatment outcomes were significantly worse with regimens that used rifampin for the first 1–2 mo rather than throughout therapy. This finding adds considerable weight to similar findings by Jindani and colleagues, who compared regimens containing 2 mo versus 6 mo of rifampin [26]. This review includes many more studies with a variety of regimens, making these results more robust and generalizable. In this review, the failure and relapse rates progressively declined with long duration of rifampin; such a dose–response relationship strengthens the conclusions that a longer duration of rifampin treatment is responsible for better outcomes. Finally, this review included studies where drug sensitivity testing was performed, which permitted us to detect an increased risk of acquired drug resistance with shorter rifampin duration and also permitted stratified analysis by underlying drug resistance, which proved to be a very important determinant of treatment outcomes. According to the most recent information from WHO [96], the 8-mo regimen was the recommended initial therapy in 24 high-incidence countries. Based on the pooled risk differences from within trial analyses, we estimate that treatment of 100 patients with the regimen of 2HRZE/6HE (the “8-mo” regimen) would result in 13 more failures and relapses than if they received 2HRZE/4HR (the “6-mo” regimen). As a result, forthcoming recommendations by WHO will recommend only the 6-mo (rifampin throughout) regimen, and the 8-mo regimen will no longer be recommended [97]. Results of this review suggest that the public health benefits of switching from the 8-mo to the 6-mo regimen should be very considerable. The lower risk of relapse with regimens using rifampin for at least 8 mo is consistent with subgroup analyses of other trials [98] and a recent cohort report from Hong Kong [99]. These have shown that patients with extensive cavitary pulmonary disease have increased risk of relapse with 6-mo regimens. Taken together these findings support recommendations to extend therapy for patients at high risk of relapse [13]. However, accurate identification of high-risk patients is imprecise, and provision of extended therapy may be challenging in high-burden settings. The lack of effect of intermittency is interesting but has several caveats. The timing of intermittent dosing may be quite important, as suggested by the finding of increased risk of acquired resistance associated with thrice-weekly therapy throughout. A cohort study from New York City reported that patients with HIV–TB coinfection had an increased risk of acquired rifamycin resistance if they were treated with twice-weekly therapy during the initial intensive phase but not if they were treated with intermittent dosing only during the continuation phase [100]. Te other important finding is the previously underestimated impact of primary isoniazid resistance on failure, relapse, and acquired resistance. This important effect is a powerful argument for widespread availability of rapid, inexpensive testing for resistance to isoniazid (as well as for rifampin), or for regimens that do not require optimal activity from isoniazid. The influence of primary streptomycin resistance is likely to be less important, since streptomycin has been replaced by ethambutol in most settings. The primary objective of this review was to compare the efficacy of different durations and dosing schedule of rifampin. To accomplish this, we have analyzed the per-protocol results from each trial, using standardized microbiological definitions. All studies reviewed reported adverse events, dropouts, and defaulters separately, facilitating our approach. However, we did not include these outcomes because they are not as well defined nor standardized, potentially creating greater between-study variability. As well, inter-study differences in providers and populations could have very important influences on these outcomes—even greater than any biologic differences in disease response. These would be balanced within each trial but could have created substantial bias with our analytic approach. If dropout, default, or side effects were associated with the same characteristics as failure or relapse, then excluding these outcomes could underestimate the poor outcomes associated with shorter rifampin exposures. But if not, then including these outcomes would simply reduce all differences between regimens. This review had several limitations. First, we could identify few trials with direct head-to-head comparisons of rifampin duration, and even fewer directly comparing intermittent regimens. Hence, we had to pool results across studies; this increases potential confounding from differences in treatment, patients' disease severity, or other differences in the study populations, since the studies were conducted in many different countries. The advantage of this approach is that we are able to include many more trials, thereby increasing the precision and avoiding selection bias [101]. However, the disadvantage is the greater potential for bias due to between-trial differences in participant characteristics, treatment regimens, as well as the differential impact of dropouts and other losses to follow-up [102]. Concern about this latter problem should be alleviated by the consistent results from three analytic approaches—within the smaller set of trials with head-to-head comparisons, across all 57 trials, and the multivariate analysis. Also, the dispersion estimates from multivariable analysis suggest that treatment factors and underlying drug resistance accounted for almost all the differences in outcomes observed. Most trials were initiated before 1980, limiting the number of participants with HIV infection and drug resistance. The lack of trials in HIV infected persons with active TB meant that the question of rifampin duration in treatment of HIV-TB could not be answered, due to insufficient power. This underscores the paucity of recent TB treatment trials and the urgent need for trials in drug resistant and/or HIV infected populations. There were no trials in children, reflecting a lack of rigorous trials in this population and the difficulties of microbiologic confirmation in this population. Death was not analyzed, because most TB-related deaths occur soon after diagnosis and are determined by comorbidity, age, severity of illness, and delay in diagnosis [103],[104]. Deaths later in treatment are often from other causes [105],[106]. Hence, differences in the TB treatment regimen may have relatively little impact on mortality. We endeavored to minimize language bias by including studies published in French and Spanish as well as English. Interestingly, this yielded only three additional trials, or 5% of all trials included. In a recent review [107], of all TB related papers listed in PubMed over 10 y, papers published in English, French, and Spanish represented 84% of all published literature worldwide. Hence, this review can be considered reasonably representative of publications in this field. However, in some fields, such as mental health, PubMed will fail to list a substantial proportion of relevant publications from low- to middle-income countries [108], so we may have missed some important trials. Finally, we were not able to distinguish between relapse of the same strain of M. tuberculosis that caused the initial infection and reinfection with a new strain of the bacillus. In settings with high rates of ongoing exposure to M. tuberculosis, particularly if HIV seroprevalence is also high, a relatively high proportion of cases of recurrent TB following initial apparent cure may be due to reinfection [109]. However, very few participants had HIV coinfection in the studies reviewed, and in studies with longer follow-up, the great majority of relapses occurred in the first 1–2 y, with very few occurring in the third to fifth years. This suggests that reinfection should have accounted for very few of the disease recurrences. Because follow-up was adequate in almost all studies—only four studies had less than 1-y follow-up—unequal follow-up should not have affected results—supported by the finding that duration of post-treatment follow-up was not associated with relapse rates in multivariable analysis. Conclusion This review provides evidence against continued use of regimens that utilize rifampin for the first 2 mo only, as they are significantly and substantially inferior to regimens that use rifampin for at least 6 mo. This review also has identified an important need for adequately powered clinical trials that address dosing schedules, management of isoniazid mono-resistance, and the optimal duration of treatment to prevent relapse. Supporting Information Figure S1 Forest plots of relapse rates with different duration of rifampin. Only patients with drug-sensitive organisms in studies where drug-sensitive testing was performed are shown. (3.53 MB TIF) Click here for additional data file. Text S1 Characteristics of studies reviewed. Appendix Table 1: Rifampin duration directly compared, and regimens otherwise comparable; Appendix Table 2: Intermittent regimens, directly compared head to head within studies and with otherwise comparable regimens; Appendix Table 3: Regimens differed by rifampin duration but also by other important factors; Appendix Table 4: Regimens differed by intermittent schedule, but also by other important factors; Appendix Table 5: No internal comparison of rifampin duration, nor of intermittent schedules; Appendix Table 6: Randomized trials in which only one arm could be analyzed. (0.40 MB DOC) Click here for additional data file.
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              Quality of tuberculosis care in India: a systematic review.

              While Indian studies have assessed care providers' knowledge and practices, there is no systematic review on the quality of tuberculosis (TB) care.
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                Author and article information

                Journal
                BMJ Glob Health
                BMJ Glob Health
                bmjgh
                bmjgh
                BMJ Global Health
                BMJ Publishing Group (BMA House, Tavistock Square, London, WC1H 9JR )
                2059-7908
                2018
                10 August 2018
                : 3
                : 4
                : e000971
                Affiliations
                [1 ] departmentDivision of Infectious Diseases, Allergy and Immunology , Saint Louis University , St Louis, Missouri, USA
                [2 ] departmentDepartment of Immunology , National Institute for Research in Tuberculosis , Chennai, Tamil Nadu, India
                [3 ] Jan Swasthya Sahyog , Ganiyari, Chhattisgarh, India
                Author notes
                [Correspondence to ] Dr Husain Poonawala; husain.poonawala@ 123456gmail.com
                Author information
                http://orcid.org/0000-0003-3628-3738
                http://orcid.org/0000-0003-4334-7226
                Article
                bmjgh-2018-000971
                10.1136/bmjgh-2018-000971
                6089296
                448549a0-36c7-4bcd-b3cb-6325af8fc664
                © Author(s) (or their employer(s)) 2018. Re-use permitted under CC BY. Published by BMJ.

                This is an open access article distributed in accordance with the Creative Commons Attribution 4.0 Unported (CC BY 4.0) license, which permits others to copy, redistribute, remix, transform and build upon this work for any purpose, provided the original work is properly cited, a link to the licence is given, and indication of whether changes were made. See: https://creativecommons.org/licenses/by/4.0/.

                History
                : 23 May 2018
                : 01 July 2018
                : 02 July 2018
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                1506
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                tuberculosis,health systems,public health,epidemiology,health policy

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