Evidence Summary
Latent Tuberculosis Infection in Adults: Screening
May 02, 2023
Recommendations made by the USPSTF are independent of the U.S. government. They should not be construed as an official position of the Agency for Healthcare Research and Quality or the U.S. Department of Health and Human Services.
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By Daniel E. Jonas, MD, MPH; Sean R. Riley, MA, MSc; Lindsey C. Lee, PharmD; Cory P. Coffey, PharmD, BCACP, BCPP; Shu-Hua Wang, MD, PharmD, MPH&TM; Gary N. Asher, MD, MPH; Anne M. Berry, MD, MPH; Niketa Williams, MD, MS, MPH; Casey Balio, PhD; Christiane E. Voisin, MSLS; Leila C. Kahwati, MD, MPH
The information in this article is intended to help clinicians, employers, policymakers, and others make informed decisions about the provision of health care services. This article is intended as a reference and not as a substitute for clinical judgment.
This article may be used, in whole or in part, as the basis for the development of clinical practice guidelines and other quality enhancement tools, or as a basis for reimbursement and coverage policies. AHRQ or U.S. Department of Health and Human Services endorsement of such derivative products may not be stated or implied.
This article was published online in JAMA on May 2, 2023 (JAMA. 2023;329(17):1495-1509. doi:10.1001/jama.2023.3954).
Importance: Latent tuberculosis infection (LTBI) can progress to active tuberculosis disease, causing morbidity and mortality.
Objective: To review the evidence on benefits and harms of screening for and treatment of LTBI in adults to inform the US Preventive Services Task Force (USPSTF).
Data Sources:PubMed/MEDLINE, Cochrane Library, and trial registries through December 3, 2021; references; experts; literature surveillance through January 20, 2023.
Study Selection: English-language studies of LTBI screening, LTBI treatment, or accuracy of the tuberculin skin test (TST) or interferon-gamma release assays (IGRAs). Studies of LTBI screening and treatment for public health surveillance or disease management were excluded.
Data Extraction and Synthesis: Dual review of abstracts, full-text articles, and study quality; qualitative synthesis of findings; meta-analyses conducted when a sufficient number of similar studies were available.
Main Outcomes and Measures: Screening test accuracy; development of active tuberculosis disease, transmission, quality of life, mortality, and harms.
Results: A total of 113 publications were included (112 studies; N = 69,009). No studies directly evaluated the benefits and harms of screening. Pooled estimates for sensitivity of the TST were 0.80 (95% CI, 0.74-0.87) at the 5-mm induration threshold, 0.81 (95% CI, 0.76-0.87) at the 10-mm threshold, and 0.60 (95% CI, 0.46-0.74) at the 15-mm threshold. Pooled estimates for sensitivity of IGRA tests ranged from 0.81 (95% CI, 0.79-0.84) to 0.90 (95% CI, 0.87-0.92). Pooled estimates for specificity of screening tests ranged from 0.95 to 0.99. For treatment of LTBI, a large (n = 27,830), good-quality randomized clinical trial found a relative risk (RR) for progression to active tuberculosis at 5 years of 0.35 (95% CI, 0.24-0.52) for 24 weeks of isoniazid compared with placebo (number needed to treat, 112) and an increase in hepatotoxicity (RR, 4.59 [95% CI, 2.03-10.39]; number needed to harm, 279). A previously published meta-analysis reported that multiple regimens were efficacious compared with placebo or no treatment. Meta-analysis found greater risk for hepatotoxicity with isoniazid than with rifampin (pooled RR, 4.22 [95% CI, 2.21-8.06]; n = 7339).
Conclusions and Relevance: No studies directly evaluated the benefits and harms of screening for LTBI compared with no screening. TST and IGRAs were moderately sensitive and highly specific. Treatment of LTBI with recommended regimens reduced the risk of progression to active tuberculosis. Isoniazid was associated with higher rates of hepatotoxicity than placebo or rifampin.
Tuberculosis is a substantial health issue globally, with approximately 10 million cases of active tuberculosis and 1.5 million tuberculosis-related deaths worldwide in 2020.1,2 In the US, active tuberculosis is a more limited health problem, with cases declining in recent decades. In 2019, 8904 new active tuberculosis cases were reported in the US, corresponding to an incidence rate of 2.7 cases per 100,000 population.3 There were 526 deaths from tuberculosis disease in the US in 2019.4 In 2020 in the US, 5127 active tuberculosis cases occurred among persons born outside the US (71.5% of all cases), for a rate of 11.7 cases per 100,000 population compared with 2018 cases and a rate of 0.7 cases per 100,000 population among US-born persons.5
Estimating the prevalence of latent tuberculosis infection (LTBI) in the US is challenging because no direct test exists, and reporting of latent infection is not required by the Centers for Disease Control and Prevention (CDC) National Notifiable Disease Surveillance System.6,7 US national data from the National Health and Nutrition Examination Survey suggest a population prevalence for LTBI of approximately 5% (95% CI, 4.2-5.8) for US-born persons and 15.9% (95% CI, 13.5-18.7) among persons born outside the US based on interferon-gamma release assay (IGRA) alone.8
In developed countries with a low prevalence of tuberculosis such as the US, many groups, including the CDC, recommend that LTBI screening be performed among high-risk groups and when treatment is feasible (eBackground and eTable 1 in the JAMA Supplement). The tuberculin skin test (TST) and IGRAs are screening tests available for LTBI. If screening test results for LTBI are positive, a medical and social history, symptom assessment, physical examination, imaging tests (typically chest radiographs), and sometimes sputum sampling and other laboratory tests are used to exclude active tuberculosis disease (because screening tests alone cannot differentiate LTBI from tuberculosis disease) prior to confirming the diagnosis of LTBI and offering preventive medication (eTable 2 in the JAMA Supplement).
In 2016, the US Preventive Services Task Force (USPSTF) recommended screening for LTBI in asymptomatic adults at increased risk (B recommendation). This updated review evaluates the current evidence on benefits and harms of screening for and treatment of LTBI in settings and populations relevant to US primary care to inform an updated recommendation by the USPSTF.
Scope of Review
Figure 1 shows the analytic framework and key questions (KQs) that guided the review. Detailed methods and additional details about results (eg, for screening test reliability, for harms other than hepatotoxicity, for trials comparing rifampin plus isoniazid with rifapentine plus isoniazid) are available in the full evidence report.10 In addition to addressing the KQs, this review looked for evidence related to 1 contextual question that focused on risk assessment tools available for use in primary care to identify adults to screen for LTBI. Literature addressing the contextual question is summarized in eMethods 1 in the JAMA Supplement.
Data Sources and Searches
PubMed/MEDLINE and the Cochrane Library were searched for English-language articles published from January 30, 2015, through December 3, 2021 (eMethods 2 in the JAMA Supplement). To supplement electronic searches, investigators reviewed reference lists of pertinent articles, studies suggested by reviewers, and comments received during public commenting periods. Since December 2021, ongoing surveillance was conducted through article alerts and targeted searches of journals to identify major studies published in the interim that may affect the conclusions or understanding of the evidence and the related USPSTF recommendation. The last surveillance was conducted on January 20, 2023. No additional studies were identified.
Study Selection
Two investigators independently reviewed titles, abstracts, and full-text articles using prespecified eligibility criteria (eMethods 3 in the JAMA Supplement). Disagreements were resolved by discussion and consensus. In addition to studies identified in the update searches, studies included in the previous review for the USPSTF were reassessed for eligibility. Relevant English-language studies of good or fair quality were eligible. Except for KQ2 (on test accuracy), only studies conducted in settings considered to be applicable to primary care and conducted in countries categorized as “very high” or “high” on the United Nations Human Development Index were eligible. Study settings considered applicable to primary care included homeless shelters, correctional facilities, college health settings, long-term care facilities, and public health clinics. Studies were excluded if more than 25% of the study population was younger than 18 years or known to be HIV-positive, unless results were stratified by these characteristics.
For KQ1, randomized clinical trials (RCTs) or prospective cohort studies were eligible if they focused on asymptomatic adults belonging to populations at increased risk for developing active tuberculosis (eg, persons who inject drugs, persons experiencing homelessness or residing in homeless shelters, persons residing in correctional facilities, persons born in or former residents of countries with high tuberculosis prevalence, and persons who work with such individuals). Studies of close contacts of persons with active tuberculosis were not eligible because testing and treatment of such populations is considered part of contact tracing for public health. Studies of persons with underlying immunosuppression and for whom LTBI screening and treatment would be part of standard disease management were also excluded (eg, persons with HIV, head and neck cancer, leukemia or lymphoma, silicosis, history of organ transplant or planned organ transplant, planned or active use of tumor necrosis factor inhibitors, and planned or active use of chemotherapy).
For screening test accuracy (KQ2), sensitivity data were from studies of persons with bacteriologically confirmed, active tuberculosis who had not yet received treatment (or who had received no more than a few weeks of treatment) and specificity data were from studies of healthy participants known to be at low risk for tuberculosis and free of tuberculosis exposure. Studies were eligible that evaluated the TST using the Mantoux method with use of standard induration thresholds for a positive test result (ie, 5 mm, 10 mm, or 15 mm) or 3 commercially available IGRAs (T-SPOT.TB [Oxford Immunotec Global], QuantiFERON-TB Gold In-Tube [QFT-GIT; Qiagen; third-generation test], and QuantiFERON-TB Gold Plus [QFT-Gold Plus; Qiagen; fourth-generation test]). For KQ2, studies of test-retest, interrater, and interlaboratory reliability were also eligible. For KQ3 and KQ5, systematic reviews, meta-analyses, and RCTs of persons with LTBI comparing a CDC-recommended treatment (medication, dose, and duration) with placebo, delayed treatment, no treatment, or another CDC recommended treatment were eligible.
For KQ4, systematic reviews, RCTs, and prospective cohort studies reporting false-positive results leading to unnecessary testing (eg, chest radiography) or treatment, labeling, stigma, anxiety, or cellulitis were eligible. For KQ5, prospective cohort studies and case-control studies were also eligible.
Data Extraction and Quality Assessment
For each included study, 1 investigator extracted pertinent information about populations, tests or interventions, comparators, outcomes, settings, and designs, and a second investigator reviewed the information for completeness and accuracy. Two investigators independently assessed each study’s methodological quality as good, fair, or poor using predefined criteria developed by the USPSTF and adapted for this topic and from validated tools for assessing risk of bias (eMethods 4 in the JAMA Supplement).9,11,12 Disagreements were resolved by discussion. Quality ratings for individual studies are provided in eTables 3 through 9 in the JAMA Supplement.
Data Synthesis and Analysis
Findings for each KQ were summarized in tabular and narrative format. The overall strength of the evidence for each KQ was assessed as high, moderate, low, or insufficient based on the overall quality of the studies, consistency of results between studies, precision of findings, risk of reporting bias, and limitations of the body of evidence, using methods developed for the USPSTF (and the Evidence-based Practice Center program).9 Additionally, the applicability of the findings to US primary care populations and settings was assessed. Discrepancies were resolved through consensus discussion.
To determine whether meta-analyses were appropriate, the clinical and methodological heterogeneity of the studies was assessed according to established guidance.13 When at least 3 similar studies were available, quantitative syntheses were conducted using random-effects models with the inverse-variance weighted method of DerSimonian and Laird to generate pooled estimates.14
For screening test accuracy (KQ2), separate pooled estimates of proportions were generated for sensitivity and specificity because these accuracy data were collected from independent samples.15 Pooled estimates were generated for test accuracy stratified by potentially important covariates such as country tuberculosis burden, prevalence of BCG vaccination in the study population, timing of testing with respect to the initiation of pharmacotherapy, and prevalence of persons with HIV infection. For KQ2, statistical heterogeneity was assessed through visual inspection of the forest plots because the I2 statistic has limitations when used for evaluating heterogeneity in diagnostic accuracy studies.16,17
For KQ3 and KQ5, statistical heterogeneity was also assessed using the I2 statistic when pooled estimates were available. Results for benefits and harms of treatment (KQ3 and KQ5) were considered statistically significant if the P value was less than .05 based on 2-sided testing. For benefits and harms of treatment (KQ3 and KQ5), sensitivity analyses were conducted by adding RCTs that were either poor quality, did not meet all of the inclusion criteria (eg, they used longer duration of treatment or different doses than currently recommended), or both. All quantitative analyses were conducted using Stata version 17 (StataCorp).
Investigators identified 3801 unique records and assessed 526 full-text articles for eligibility (Figure 2). A total of 112 studies (113 articles) with 69,009 participants were included.
Benefits of Screening
Key Question 1. What are the benefits of targeted screening for LTBI in primary care settings in asymptomatic adults who are at increased risk for developing active tuberculosis, including among specific populations of interest?
No eligible studies were identified.
Screening Accuracy
Key Question 2a. What are the accuracy and reliability of the TST or IGRA for screening in asymptomatic adults who are at increased risk for developing active tuberculosis disease, including among specific populations of interest?
The review identified 101 studies of good or fair quality assessing the sensitivity, specificity, or reliability of 1 or more of the included screening tests. Thirty-two studies reported on TST (eTables 10 and 12 in the JAMA Supplement).18-49 Among studies of IGRAs, 39 reported on T-SPOT.TB,19,37-39,43,46,48,50-81 12 reported on QFT-Gold Plus,70,71,80-90 and 51 reported on QFT-GIT (eTables 11 and 13 in the JAMA Supplement).18,19,23,25,31,36,41-44,50,54,58,63,65,67,68,70,71,79,80,82-87,89,91-113 Nineteen studies were conducted exclusively or partly in the US.19-21,24,27,29,30,32-34,37,45,59,82,87,105,114-116 Pooled estimates for sensitivity and specificity of TST by induration threshold and of IGRAs by assay are summarized in Table 1 (greater detail is provided in eFigures 1-29 in the JAMA Supplement). The pooled sensitivity for TST ranged from 0.60 to 0.81 across induration thresholds for a positive test result (ie, 5 mm, 10 mm, or 15 mm). The pooled sensitivity across IGRAs ranged from 0.81 to 0.90. The pooled specificity for all tests ranged from 0.95 to 0.99. No new studies were identified for this update that reported on the reliability of the various screening tests. The prior review on this topic for the USPSTF identified 9 relevant studies on reliability (eTable 14 and eResults in the JAMA Supplement).19,32,33,39,114-118
Key Question 2b. What are the accuracy and reliability of sequential screening strategies that use TST and IGRA in asymptomatic adults who are at increased risk for developing active tuberculosis disease, including among specific populations of interest?
No eligible studies were identified.
Benefits of Treatment
Key Question 3. What are the benefits of treatment for LTBI with CDC–recommended pharmacotherapy regimens, including among specific populations of interest?
Five RCTs (eTable 15 in the JAMA Supplement) and 1 network meta-analysis were included.119-124 One RCT compared isoniazid with placebo, 2 compared rifampin with isoniazid, and 2 compared rifapentine plus isoniazid with isoniazid alone. Two of the articles describing RCTs121,123 and the network meta-analysis124 were new in this update. Four additional RCTs125-128 that compared isoniazid with placebo that did not meet all eligibility criteria were used in sensitivity analyses (eTable 16 in the JAMA Supplement).
Isoniazid Compared With Placebo
The International Union Against Tuberculosis (IUAT) trial119 randomized 27,830 adults with fibrotic pulmonary lesions and a TST induration of 6 mm or larger, but not active tuberculosis or previous antituberculosis treatment, to 4 groups: isoniazid (300 mg daily for 12 weeks), isoniazid (300 mg daily for 24 weeks), isoniazid (300 mg daily for 52 weeks), or placebo. The median age was 50 years. After 5 years of follow-up, 76 participants (1.1%) in the 12-week group, 34 (0.5%) in the 24-week group, 24 (0.3%) in the 52-week group, and 97 (1.4%) in the placebo group developed active tuberculosis (eTable 17 in the JAMA Supplement). The relative risks (RRs) for developing active tuberculosis compared with placebo were 0.79 (95% CI, 0.58-1.06) in the 12-week group, 0.35 (95% CI, 0.24-0.52) in the 24-week group, and 0.25 (95% CI, 0.16-0.39) in the 52-week group. For the 24-week CDC-recommended regimen (among the current CDC alternative regimens), the results indicated a number needed to treat of 112 to prevent 1 case of active tuberculosis. There were no deaths due to tuberculosis in any of the isoniazid groups; 3 persons died of tuberculosis in the placebo group. The sensitivity analyses using combined data from the 24- and 52-week groups from the IUAT trial and 4 additional RCTs, including a total of 36,823 participants, found an RR of 0.31 (95% CI, 0.24-0.41) for developing active tuberculosis compared with placebo and no statistical heterogeneity in effects between studies (I2 = 0.0%) (eFigure 30 in the JAMA Supplement).
Rifampin Compared With Isoniazid
Two RCTs comparing rifampin with isoniazid were included. The first was an open-label, multinational trial that randomized 847 participants to 4 months of rifampin or 9 months of isoniazid to compare adverse events and treatment completion.121 It reported 0 deaths from tuberculosis in either group and reported all-cause mortality with 0 deaths in the rifampin group and 1 in the isoniazid group. The second RCT was an open-label, multinational trial that randomized 6063 participants at increased risk of progression to active tuberculosis to 4 months of rifampin (now a CDC-preferred regimen, strong recommendation) or 9 months of isoniazid (now an alternative CDC regimen).121 In the isoniazid group, 9 participants developed active tuberculosis compared with 8 in the rifampin group, and rifampin was found to be noninferior to isoniazid.
Rifapentine Plus Isoniazid Compared With Isoniazid Alone
Two RCTs compared rifapentine plus isoniazid with isoniazid alone. The PREVENT TB study was an open-label, multinational noninferiority trial that randomized persons to directly observed once-weekly rifapentine plus isoniazid for 3 months or to daily self-administered isoniazid for 9 months.122 Data were obtained from the CDC for the subset of participants most directly relevant for this review: the 6886 adults (aged ≥18 years) who were HIV negative and TST- or IGRA-positive. For this subset, active tuberculosis developed in 5 persons in the combination therapy group and in 10 persons in the isoniazid-only group, and combination therapy was found to be noninferior. Overall mortality was similar for the 2 groups (30 vs 34 deaths, respectively; P = .42). The second RCT was an open-label multicenter trial that randomized 283 participants to either 3 months of once-weekly, directly observed rifapentine plus isoniazid or 9 months of daily, directly observed isoniazid alone.123 It reported 0 deaths from any cause in both groups.
Network Meta-Analysis
The network meta-analysis (53 included studies) used a mixed treatment comparison methodology and focused on 2 prespecified end points: prevention of active tuberculosis and hepatotoxicity.124 It found that the shorter-duration recommended regimens are efficacious for preventing active tuberculosis (eg, rifampin for 3 to 4 months, rifapentine plus isoniazid combination, isoniazid for 6 months) and may have fewer adverse effects and higher completion rates. That analysis included studies among children; HIV-infected persons; household or close contacts of persons with active tuberculosis without confirmed LTBI; and persons with renal transplant, silicosis, or rheumatoid arthritis who were taking immunosuppressive biologic medication, which are all populations excluded from the present review. The network meta-analysis also included treatment regimens not eligible for this review. For prevention of active tuberculosis, it reported that multiple regimens were efficacious compared with placebo or no treatment, including isoniazid regimens of 6 months (odds ratio [OR], 0.65 [95% credible interval {CrI}, 0.50-0.83] vs placebo) or longer, 3- to 4-month regimens of rifampin plus isonizid (OR, 0.53 [95% CrI, 0.36-0.78] vs placebo), and weekly regimens of rifapentine plus isoniazid (OR, 0.36 [95% CrI, 0.18-0.73] vs no treatment).
No studies reported benefits related to quality of life or tuberculosis transmission.
Harms of Screening
Key Question 4a. Are harms associated with screening for LTBI, including among specific populations of interest?
Key Question 4b. Do these harms differ by screening method or strategy?
Key Question 4c. Do these harms differ by population?
No eligible studies were identified.
Harms of Treatment
Key Question 5. What are the harms associated with treatment of LTBI with CDC-recommended pharmacotherapy regimens, including among specific populations of interest?
Nine RCTs (described in 11 articles) and 1 network meta-analysis assessing harms associated with the treatment of LTBI were included (eTables 15 and 18 in the JAMA Supplement).119-124,129-134 Among the RCTs, 1 compared isoniazid with placebo,119 4 compared rifampin with isoniazid (although participants of the Menzies [2008] phase 2 trial were included in the Menzies [2018] phase 3 trial),120,121,130,131 2 compared rifapentine plus isoniazid with isoniazid alone,123,132 1 compared rifampin plus isoniazid with rifapentine plus isoniazid,133 and 1 compared weekly rifapentine plus isoniazid with twice-weekly rifapentine plus isoniazid.134 Four of the RCTs (described in 6 articles, including 2 post hoc analyses of previously included trials) and the network meta-analysis were new in this update.121,123,124,129,132-134 Additional RCTs that did not meet all eligibility criteria were used in sensitivity analyses for harms. The criteria for RCTs to be included in sensitivity analyses were the same as those described for KQ3.
Hepatotoxicity From Isoniazid
The IUAT trial reported rates of hepatotoxicity development (eTable 18 in the JAMA Supplement).119 The RRs for developing hepatotoxicity associated with isoniazid compared with placebo were 3.45 (95% CI, 1.49-7.99) for 12 weeks of treatment (24 vs 7 events), 4.59 (95% CI, 2.03-10.39) for 24 weeks of treatment (32 vs 7 events), and 6.21 (95% CI, 2.79-13.79) for 52 weeks of treatment (43 vs 7 events) (eFigure 31 in the JAMA Supplement). For the study groups comparing the 24-week CDC-approved regimen with placebo (n = 13,955), the results indicate that 1 case of hepatotoxicity would result from treating 279 persons with isoniazid (ie, a number needed to harm [NNH] of 279). Sensitivity analyses for hepatotoxicity associated with isoniazid compared with placebo using data from the IUAT trial (3 treatment groups combined) and 3 additional RCTs, including a total of 35,161 participants, found an RR of 5.04 (95% CI, 2.50-10.15) (eFigure 32 in the JAMA Supplement).135-137 Regarding mortality from hepatotoxicity, the IUAT trial reported rates of 0.03% for the 12-week isoniazid treatment group, 0.0% for the 24-week treatment group, and 0.01% for the 52-week treatment group. The study had 0 deaths from hepatotoxicity among placebo-treated patients. The authors reported that the mortality rate from hepatitis associated with isoniazid was 0.14 deaths per 1000 persons receiving isoniazid, for a calculated RR of 2.35 (95% CI, 0.12-45.46; NNH, 6947).
Treatment Discontinuation With Isoniazid
Rates of treatment discontinuation because of adverse events in the IUAT trial were presented only for all 3 isoniazid treatment groups combined. A total of 345 patients (1.8%) receiving isoniazid discontinued treatment because of adverse events, compared with 84 patients (1.2%) receiving placebo. The RR of discontinuation due to adverse events among patients treated with isoniazid vs placebo was 1.50 (95% CI, 1.18-1.89; 1 RCT; n = 27,830; NNH, 167). Our sensitivity analysis using data from the IUAT trial and 3 additional RCTs, including a total of 55,398 participants, found an RR of 1.58 (95% CI, 1.00-2.49) (eFigure 33 in the JAMA Supplement).125,127,137 The IUAT trial reported that 1.2% of patients receiving isoniazid and 0.9% of patients receiving placebo discontinued treatment due to gastrointestinal distress (RR, 1.33 [95% CI, 1.01-1.75]).138
Rifampin Compared With Isoniazid
Four open-label RCTs and 1 post hoc safety analysis provided evidence on harms for rifampin compared with isoniazid.120,121,129-131 All 4 RCTs presented hepatotoxicity data; 1 combined data with an earlier trial by the same authors. Rates of hepatotoxicity in these RCTs among patients receiving isoniazid were 5.2%,130 1.9%,121 and 11.4%.131 Rates of hepatotoxicity among rifampin-treated patients were 0.0%, 0.3%, and 4.4%. Meta-analysis of 3 RCTs (total n = 7339) found a greater risk of hepatotoxicity for patients treated with isoniazid than for those treated with rifampin (RR, 4.22 [95% CI, 2.21-8.06]; I2 = 28.7%) (eFigure 34 in the JAMA Supplement). All studies reported 0 deaths from hepatotoxicity.
Rates of discontinuation because of adverse events were reported in all 4 included RCTs, but 1 trial combined its data with the data from an earlier phase 2 study by the same author. Rates were 13.8% for isoniazid and 3.4% for rifampin,130 2.3% for isoniazid and 0.9% for rifampin,121 and 0.0% for isoniazid and 1.1% for rifampin.131 Meta-analysis found no statistically significant difference between treatments (RR, 2.25 [95% CI, 0.90-5.59]; I2 = 35.2%; n = 7339) (eFigure 35 in the JAMA Supplement).
Rifapentine Compared With Isoniazid
Two RCTs reported harms for rifapentine plus isoniazid compared with isoniazid alone.122,123,132 Rates of grade 3 and 4 hepatotoxicity in the PREVENT TB study were 4.9% and 1.0% in the rifapentine plus isoniazid group and 5.5% and 1.1% in the isoniazid-only group (RR, 0.90 [95% CI, 0.75-1.08]).122 A post hoc analysis reported 17 cases of hepatotoxicity attributable to rifapentine plus isoniazid (0.43% of those who received rifapentine plus isoniazid) and 97 attributable to isoniazid (2.70% of those who received it) (RR, 0.16 [95% CI, 0.10-0.28]).132 The second trial reported elevations of aspartate aminotransferase and alanine aminotransferase levels greater than 3 times the upper limit of normal in 4.5% of the rifapentine plus isoniazid group and in 9.9% in the isoniazid-alone group (RR, 0.46 [95% CI, 0.18-1.17]) and reported clinically relevant hepatotoxicity in 1.5% vs 5.3% (RR, 0.28 [95% CI, 0.06-1.34]).
Rates of discontinuation because of adverse events were higher in the rifapentine plus isoniazid groups in both studies (5.2% in PREVENT TB and 9.1% in the trial conducted in Taiwan) than in the isoniazid-only groups (4.1% and 5.3%) (RR, 1.28 [95% CI, 1.03-1.59] in PREVENT TB and RR, 1.70 [95% CI, 0.69-4.19] in the trial conducted in Taiwan). The studies evaluated various other harms, including possible hypersensitivity, systemic drug reactions, and flu-like symptoms, which occurred with greater frequency in the rifapentine plus isoniazid groups. Possible hypersensitivity was reported in 4.1% of patients receiving rifapentine plus isoniazid and 0.5% of patients receiving isoniazid only in the PREVENT TB study (RR, 8.04 [95% CI, 4.88-13.26]).5
Other Studies
A single RCT, the HALT LTBI pilot study, compared self-administered rifapentine plus isoniazid daily for 90 days with rifapentine plus isoniazid weekly for 12 weeks. That study was an open-label trial that randomized 52 participants with LTBI.133 A single open-label RCT compared directly observed, once-weekly isoniazid up to 900 mg and rifapentine up to 900 mg for 12 weeks (the 3HP regimen), directly observed twice-weekly isoniazid up to 600 mg and rifapentine up to 600 mg for 8 weeks (the 2H2P2 regimen), and an untreated control group.134 Results for these trials did not contribute to main conclusions of the review and are available in the full evidence report.10
The included network meta-analysis found greater odds of hepatotoxicity with longer duration of therapy and regimens containing isoniazid only (isoniazid [6 months] vs no treatment: OR, 1.10 [95% CrI, 0.40-3.17]; isoniazid [9 months] vs no treatment: OR, 1.70 [95% CrI, 0.35-8.05]; isoniazid [12-72 months] vs no treatment: OR, 2.72 [95% CrI, 0.96-7.44]) than with other regimens currently recommended by the CDC (rifapentine plus isoniazid vs no treatment: 0.52 [95% CrI, 0.13-2.15]; rifampin [3-4 months] vs no treatment: OR, 0.14 [95% CrI, 0.02-0.81]; rifampin plus isoniazid [3-4 months] vs no treatment: 0.72 [95% CrI, 0.21-2.37]).124 Although data on hepatotoxicity were limited, CrIs were wide (estimates were imprecise), and findings were based on relatively few events.
This study reviewed the evidence on benefits and harms of screening for LTBI in adults. Table 2 provides a summary of the main findings, including an assessment of the strength of evidence for each KQ, along with a description of consistency, precision, quality, limitations, strength of evidence, and applicability.
The evidence suggests that for the populations and settings studied, currently available tests are moderately sensitive and highly specific. Previously published systematic reviews evaluating accuracy of screening tests for LTBI, including a prior review for the USPSTF,139 are generally consistent with these findings.140-143 The applicability of this evidence to primary care practice settings and populations is somewhat uncertain because the lack of a direct test for LTBI requires extrapolation of accuracy from specific populations (eg, populations with active, confirmed tuberculosis for sensitivity; healthy persons without tuberculosis risks and exposures for specificity). Nevertheless, it seems reasonable to assume applicability to primary care practice settings that serve high-risk populations (eg, clinics serving persons who had temporary or permanent residence in a country with a high tuberculosis rate), where the use of a highly specific test among a higher-prevalence population minimizes false positives and a moderately sensitive test (conducted after it is indicated by a clinical risk assessment) can help determine the likelihood of latent infection to inform preventive treatment decisions.
The best evidence on effectiveness of pharmacotherapy with a CDC-recommended regimen vs placebo was from the IUAT trial (n = 27,830). That trial enrolled participants with pulmonary fibrotic lesions, a group thought to be at the highest risk for progression to active tuberculosis, and reported that participants with smaller lesions progressed to active tuberculosis at lower rates than those with larger lesions. In addition, the treatment studies used in the current sensitivity analysis did not enroll populations that were identified to have LTBI via screening in primary care settings; rather, they were household contacts of active cases,125 veterans with inactive pulmonary tuberculosis,126,135 persons residing in mental institutions,127 and military members exposed to an active tuberculosis case.128 Thus, the available evidence has uncertain applicability to persons in primary care settings who screen positive on the TST or IGRA but have normal findings on chest radiographs or who are not recent converters or close contacts. Therefore, estimates of treatment effectiveness may represent the upper bounds of effectiveness.
Regarding applicability of the evidence comparing isoniazid with placebo, the trials were published more than 40 years ago (1963, 1965, 1968, 1978, and 1982), and treatment of LTBI has been the standard of care for decades. More current data for estimating effectiveness were not available. It is unclear whether changes in the prevalence of tuberculosis (which has decreased), treatments for active tuberculosis, or likelihood of LTBI progressing to active tuberculosis would significantly change estimates of effectiveness. Trials comparing isoniazid with placebo mostly evaluated long durations of treatment (eg, 1 year of isoniazid) that were recommended at the time.
Early studies of isoniazid indicated a 4- to 5-fold increase in hepatotoxicity compared with placebo, although deaths due to hepatotoxicity were very rare—a total of 3 participants in IUAT, all of whom had continued to take isoniazid after liver abnormalities were recognized. After the effectiveness of isoniazid was established, subsequent studies evaluated shorter durations of treatment and other regimens to focus on harm reduction, improving adherence, or both. Subsequent head-to-head trials and network meta-analyses indicated noninferiority, improved adherence, and lower risk of hepatotoxicity for current, CDC-preferred LTBI treatments (rifampin, isoniazid plus rifapentine, and isoniazid plus rifampin) than with isoniazid alone.
Limitations
This review had several limitations. First, it did not cover testing of close contacts of persons with active tuberculosis (usually managed by public health programs) or high-risk populations for whom LTBI testing is considered part of standard disease management (eg, persons with HIV, persons with planned or active use of tumor necrosis factor inhibitors or other targeted immune modulators). Second, the applicability of the available studies was somewhat uncertain because of the populations enrolled or the trials being conducted more than 40 years ago. Third, no eligible studies focusing on pregnant women were found.
No studies evaluated the direct benefits and harms of screening for LTBI compared with no screening. TST and IGRAs were moderately sensitive and highly specific. Treatment of LTBI with recommended regimens reduced the risk of progression to active tuberculosis. Isoniazid was associated with higher rates of hepatotoxicity than placebo or rifampin.
Source: This article was published online in JAMA on May 2, 2023 (JAMA. 2023;329(17):1495-1509. doi:10.1001/jama.2023.3954).
Conflict of Interest Disclosures: None reported.
Funding/Support: This research was funded under contract 75Q80120D00007, Task Order 75Q80120F32001, from the Agency for Healthcare Research and Quality (AHRQ), US Department of Health and Human Services, under a contract to support the US Preventive Services Task Force (USPSTF).
Role of the Funder/Sponsor: Investigators worked with USPSTF members and AHRQ staff to develop the scope, analytic framework, and KQs for this review. AHRQ had no role in study selection, quality assessment, or synthesis. AHRQ staff provided project oversight, reviewed the evidence review to ensure that the analysis met methodological standards, and distributed the draft for public comment and review by federal partners. Otherwise, AHRQ had no role in the conduct of the study; collection, management, analysis, and interpretation of the data; and preparation, review, or approval of the manuscript findings. The opinions expressed in this document are those of the authors and do not reflect the official position of AHRQ or the US Department of Health and Human Services.
Additional Contributions: We gratefully acknowledge the following individuals for their contributions to this project, including AHRQ staff (Sheena Harris, MD, MPH; Tina Fan, MD, MPH; and Tracy Wolff, MD, MPH) and RTI International– University of North Carolina Evidence-based Practice Center staff (Roberta C. Wines, MPH; Sharon Barrell, MA; Jessica Burch; and Teyonna Downing), who received compensation for their role in this project. The USPSTF members, expert consultants, peer reviewers, and federal partner reviewers did not receive financial compensation for their contributions.
Additional Information: A draft version of the full evidence report underwent external peer review from 4 content experts (Ned Calonge, MD, MPH, Colorado Trust; John Bernardo, MD, Boston University School of Medicine; Pennan Barry, MD, MPH, University of California, San Francisco, California Department of Public Health; Jon Warkentin, MD, Vanderbilt Tuberculosis Center) and federal partner reviewers from the US Centers for Disease Control and Prevention. Comments from reviewers were presented to the USPSTF during its deliberation of the evidence and were considered in preparing the final evidence review.
1. Houben RMGJ, Dodd PJ. The global burden of latent tuberculosis infection: a re-estimation using mathematical modelling. PLoS Med. 2016;13(10):e1002152. doi:10.1371/journal.pmed.1002152
2. Global Tuberculosis Report 2020. World Health Organization; 2020.
3. National Center for Health Statistics. Infectious disease. Centers for Disease Control and Prevention. Published 2020. Accessed October 29, 2020. https://www.cdc.gov/nchs/fastats/infectious-disease.htm
4. Tuberculosis: trends in tuberculosis, 2019. Centers for Disease Control and Prevention. Published 2019. Accessed November 8, 2020. https://www.cdc.gov/tb/publications/factsheets/statistics/tbtrends.htm
5. Table 5: tuberculosis cases, percentages, and incidence rates per 100,000 population by origin of birth: United States, 1993-2020. Centers for Disease Control and Prevention. Published 2020. Accessed January 5, 2022. https://www.cdc.gov/tb/statistics/reports/2020/table23.htm
6. Tuberculosis (TB) (Mycobacterium tuberculosis). Centers for Disease Control and Prevention. Published 2015. Accessed June 8, 2015. https://ndc.services.cdc.gov/case-definitions/tuberculosis-2009/
7. Guidelines on the management of latent tuberculosis infection.World Health Organization. Published 2015. Accessed April 8, 2023. https://www.who.int/publications/i/item/9789241548908
8. Miramontes R, Hill AN, Yelk Woodruff RS, et al. Tuberculosis infection in the United States: prevalence estimates from the National Health and Nutrition Examination Survey, 2011-2012. PLoS One. 2015;10(11):e0140881. doi:10.1371/journal.pone.0140881
9. US Preventive Services Task Force Procedure Manual. US Preventive Services Task Force. Updated August 2022. Accessed February 16, 2023. https://www.uspreventiveservicestaskforce.org/uspstf/about-uspstf/methods-and-processes/procedure-manual
10. Jonas DE, Riley S, Lee L, et al. Screening for Latent Tuberculosis Infection in Adults: An Evidence Review for the US Preventive Services Task Force. Evidence Synthesis No. 226. Agency for Healthcare Research and Quality; 2023. AHRQ publication 22-05298-EF-1.
11. Sterne JAC, Savović J, Page MJ, et al. RoB 2: a revised tool for assessing risk of bias in randomised trials. BMJ. 2019;366:l4898. doi:10.1136/bmj.l4898
12. Whiting PF, Rutjes AW, Westwood ME, et al; QUADAS-2 Group. QUADAS-2: a revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med. 2011;155(8):529-536. doi:10.7326/0003-4819-155-8-201110180-00009
13. West SL, Gartlehner G, Mansfield AJ, et al. Comparative Effectiveness Review Methods: Clinical Heterogeneity. Rockville, MD: Agency for Healthcare Research and Quality; 2010. AHRQ Publication No. 10-EHC070-EF.
14. DerSimonian R, Laird N. Meta-analysis in clinical trials. Control Clin Trials. 1986;7(3):177-188. doi:10.1016/0197-2456(86)90046-2
15. Nyaga VN, Arbyn M, Aerts M. Metaprop: a Stata command to perform meta-analysis of binomial data. Arch Public Health. 2014;72(1):39. doi:10.1186/2049-3258-72-39
16. Naaktgeboren CA, Ochodo EA, Van Enst WA, et al. Assessing variability in results in systematic reviews of diagnostic studies. BMC Med Res Methodol. 2016;16:6. doi:10.1186/s12874-016-0108-4
17. Lee J, Kim KW, Choi SH, Huh J, Park SH. Systematic review and meta-analysis of studies evaluating diagnostic test accuracy: a practical review for clinical researchers—part ii: statistical methods of meta-analysis. Korean J Radiol. 2015;16(6):1188-1196. doi:10.3348/kjr.2015.16.6.1188
18. Painter JA, Graviss EA, Hai HH, et al. Tuberculosis screening by tuberculosis skin test or QuantiFERON-TB Gold In-Tube assay among an immigrant population with a high prevalence of tuberculosis and BCG vaccination. PLoS One. 2013;8(12):e82727. doi:10.1371/journal.pone.0082727
19. Mancuso JD, Mazurek GH, Tribble D, et al. Discordance among commercially available diagnostics for latent tuberculosis infection. Am J Respir Crit Care Med. 2012;185(4):427-434. doi:10.1164/rccm.201107-1244OC
20. Mazurek GH, Weis SE, Moonan PK, et al. Prospective comparison of the tuberculin skin test and 2 whole-blood interferon-gamma release assays in persons with suspected tuberculosis. Clin Infect Dis. 2007;45(7):837-845. doi:10.1086/521107
21. Mazurek GH, Zajdowicz MJ, Hankinson AL, et al. Detection of Mycobacterium tuberculosis infection in United States Navy recruits using the tuberculin skin test or whole-blood interferon-gamma release assays. Clin Infect Dis. 2007;45(7):826-836. doi:10.1086/521106
22. Kang YA, Lee HW, Yoon HI, et al. Discrepancy between the tuberculin skin test and the whole-blood interferon gamma assay for the diagnosis of latent tuberculosis infection in an intermediate tuberculosis-burden country. JAMA. 2005;293(22):2756-2761. doi:10.1001/jama.293.22.2756
23. Tsiouris SJ, Coetzee D, Toro PL, Austin J, Stein Z, El-Sadr W. Sensitivity analysis and potential uses of a novel gamma interferon release assay for diagnosis of tuberculosis. J Clin Microbiol. 2006;44(8):2844-2850. doi:10.1128/JCM.02411-05
24. Taggart EW, Hill HR, Ruegner RG, Litwin CM. Evaluation of an in vitro assay for interferon gamma production in response to the Mycobacterium tuberculosis-synthesized peptide antigens ESAT-6 and CFP-10 and the PPD skin test. Am J Clin Pathol. 2006;125(3):467-473. doi:10.1309/LTETF72AHG94KGUY
25. Kim EY, Park MS, Kim YS, Kim SK, Chang J, Kang YA. Risk factors for false-negative results of QuantiFERON-TB Gold In-Tube assay in non-HIV-infected patients with culture-confirmed tuberculosis. Diagn Microbiol Infect Dis. 2011;70(3):324-329. doi:10.1016/j.diagmicrobio.2011.02.011
26. Berkel GM, Cobelens FG, de Vries G, Draayer-Jansen IW, Borgdorff MW. Tuberculin skin test: estimation of positive and negative predictive values from routine data. Int J Tuberc Lung Dis. 2005;9(3):310-316.
27. Taggart EW, Hill HR, Ruegner RG, Martins TB, Litwin CM. Evaluation of an in vitro assay for gamma interferon production in response to Mycobacterium tuberculosis infections. Clin Diagn Lab Immunol. 2004;11(6):1089-1093. doi:10.1128/CDLI.11.6.1089-1093.2004
28. Fietta A, Meloni F, Cascina A, et al. Comparison of a whole-blood interferon-gamma assay and tuberculin skin testing in patients with active tuberculosis and individuals at high or low risk of Mycobacterium tuberculosis infection. Am J Infect Control. 2003;31(6):347-353. doi:10.1016/S0196-6553(02)48240-5
29. Bellete B, Coberly J, Barnes GL, et al. Evaluation of a whole-blood interferon-gamma release assay for the detection of Mycobacterium tuberculosis infection in 2 study populations. Clin Infect Dis. 2002;34(11):1449-1456. doi:10.1086/340397
30. Mazurek GH, LoBue PA, Daley CL, et al. Comparison of a whole-blood interferon gamma assay with tuberculin skin testing for detecting latent Mycobacterium tuberculosis infection. JAMA. 2001;286(14):1740-1747. doi:10.1001/jama.286.14.1740
31. Bocchino M, Chairadonna P, Matarese A, et al. Limited usefulness of QuantiFERON-TB Gold In-Tube for monitoring anti-tuberculosis therapy. Respir Med. 2010;104(10):1551-1556. doi:10.1016/j.rmed.2010.05.011
32. Villarino ME, Brennan MJ, Nolan CM, et al. Comparison testing of current (PPD-S1) and proposed (PPD-S2) reference tuberculin standards. Am J Respir Crit Care Med. 2000;161(4, pt 1):1167-1171. doi:10.1164/ajrccm.161.4.990605
33. Villarino ME, Burman W, Wang YC, et al. Comparable specificity of 2 commercial tuberculin reagents in persons at low risk for tuberculous infection. JAMA. 1999;281(2):169-171. doi:10.1001/jama.281.2.169
34. Seibert AF, Haynes J Jr, Middleton R, Bass JB Jr. Tuberculous pleural effusion: twenty-year experience. Chest. 1991;99(4):883-886. doi:10. 1378/chest.99.4.883
35. Katsenos S, Nikolopoulou M, Konstantinidis AK, et al. Interferon-gamma release assay clarifies the effect of bacille Calmette-Guérin vaccination in Greek army recruits. Int J Tuberc Lung Dis. 2010;14(5):545-550.
36. Park SY, Jeon K, Um SW, Kwon OJ, Kang ES, Koh WJ. Clinical utility of the QuantiFERON-TB Gold In-Tube test for the diagnosis of active pulmonary tuberculosis. Scand J Infect Dis. 2009;41(11-12):818-822. doi:10.3109/00365540903214298
37. Bienek DR, Chang CK. Evaluation of an interferon-gamma release assay, T-SPOT.TB, in a population with a low prevalence of tuberculosis. Int J Tuberc Lung Dis. 2009;13(11):1416-1421.
38. Soysal A, Torun T, Efe S, Gencer H, Tahaoglu K, Bakir M. Evaluation of cut-off values of interferon-gamma-based assays in the diagnosis of M. tuberculosis infection. Int J Tuberc Lung Dis. 2008;12(1):50-56.
39. Dilektasli AG, Erdem E, Durukan E, Eyüboğlu FO. Is the T-cell-based interferon-gamma releasing assay feasible for diagnosis of latent tuberculosis infection in an intermediate tuberculosis-burden country? Jpn J Infect Dis. 2010;63(6):433-436. doi:10.7883/yoken.63.433
40. Ak O, Dabak G, Ozer S, Saygi A, Dabak R. The evaluation of the Quantiferon-TB Gold test in pulmonary and extrapulmonary tuberculosis. Jpn J Infect Dis. 2009;62(2):149-151. doi:10.7883/yoken.JJID.2009.149
41. Wlodarczyk M, Rudnicka W, Janiszewska- Drobinska B, et al. Interferon-gamma assay in combination with tuberculin skin test are insufficient for the diagnosis of culture-negative pulmonary tuberculosis. PLoS One. 2014;9(9):e107208. doi:10.1371/journal.pone.0107208
42. Hoff ST, Peter JG, Theron G, et al. Sensitivity of C-Tb: a novel RD-1-specific skin test for the diagnosis of tuberculosis infection. Eur Respir J. 2016;47(3):919-928. doi:10.1183/13993003.01464-2015
43. Altet N, Latorre I, Jiménez-Fuentes MÁ, et al; PII Smoking SEPAR Working Group. Assessment of the influence of direct tobacco smoke on infection and active TB management. PLoS One. 2017;12(8):e0182998. doi:10.1371/journal.pone.0182998
44. Aggerbeck H, Ruhwald M, Hoff ST, et al. Interaction between C-Tb and PPD given concomitantly in a split-body randomised controlled trial. Int J Tuberc Lung Dis. 2019;23(1):38-44. doi:10.5588/ijtld.18.0137
45. Choi JC, Jarlsberg LG, Grinsdale JA, et al. Reduced sensitivity of the QuantiFERON(®) test in diabetic patients with smear-negative tuberculosis. Int J Tuberc Lung Dis. 2015;19(5):582-588. doi:10.5588/ijtld.14.0553
46. Zhu M, Zhu Z, Yang J, Hu K. Performance evaluation of IGRA-ELISA and T-SPOT.TB for diagnosing tuberculosis infection. Clin Lab. 2019;65(8). doi:10.7754/Clin.Lab.2019.181109
47. Yu L, Mo P, Wei Z, et al. Development and evaluation of a new interferon-gamma release assay for the diagnosis of tuberculosis infection in HIV-infected individuals in China. Infect Dis (Lond). 2015;47(4):237-243. doi:10.3109/00365548.2014.988749
48. Park IN, Shim TS. Qualitative and quantitative results of interferon-γ release assays for monitoring the response to anti-tuberculosis treatment. Korean J Intern Med. 2017;32(2):302-308. doi:10.3904/kjim.2016.199
49. Peña D, Rovetta AI, Hernández Del Pino RE, et al. A Mycobacterium tuberculosis dormancy antigen differentiates latently infected bacillus Calmette-Guérin–vaccinated individuals. EBioMedicine. 2015;2(8):884-890. doi:10.1016/j.ebiom.2015.05.026
50. Lai CC, Tan CK, Lin SH, Liao CH, Huang YT, Hsueh PR. Diagnostic performance of whole-blood interferon-γ assay and enzyme-linked immunospot assay for active tuberculosis. Diagn Microbiol Infect Dis. 2011;71(2):139-143. doi:10.1016/j.diagmicrobio.2011.05.013
51. Losi M, Bossink A, Codecasa L, et al; European Tuberculosis Network TBNET. Use of a T-cell interferon-gamma release assay for the diagnosis of tuberculous pleurisy. Eur Respir J. 2007;30(6):1173-1179. doi:10.1183/09031936.00067307
52. Goletti D, Carrara S, Vincenti D, et al. Accuracy of an immune diagnostic assay based on RD1 selected epitopes for active tuberculosis in a clinical setting: a pilot study. Clin Microbiol Infect. 2006;12(6):544-550. doi:10.1111/j.1469-0691.2006.01391.x
53. Janssens JP, Roux-Lombard P, Perneger T, Metzger M, Vivien R, Rochat T. Quantitative scoring of an interferon-gamma assay for differentiating active from latent tuberculosis. Eur Respir J. 2007;30(4):722-728. doi:10.1183/09031936.00028507
54. Chee CB, Gan SH, Khinmar KW, et al. Comparison of sensitivities of two commercial gamma interferon release assays for pulmonary tuberculosis. J Clin Microbiol. 2008;46(6):1935-1940. doi:10.1128/JCM.02403-07
55. Cho OH, Park KH, Kim SM, et al. Diagnostic performance of T-SPOT.TB for extrapulmonary tuberculosis according to the site of infection. J Infect. 2011;63(5):362-369. doi:10.1016/j.jinf.2011.06.010
56. Boyd AE, Ashcroft A, Lipman M, Bothamley GH. Limited added value of T-SPOT.TB blood test in diagnosing active TB: a prospective Bayesian analysis. J Infect. 2011;62(6):456-461. doi:10.1016/j.jinf.2011.04.003
57. Lai CC, Tan CK, Lin SH, et al. Diagnostic value of an enzyme-linked immunospot assay for interferon-γ in cutaneous tuberculosis. Diagn Microbiol Infect Dis. 2011;70(1):60-64. doi:10.1016/j.diagmicrobio.2010.11.012
58. Ruhwald M, Dominguez J, Latorre I, et al; TBNET. A multicentre evaluation of the accuracy and performance of IP-10 for the diagnosis of infection with M. tuberculosis. Tuberculosis (Edinb). 2011;91(3):260-267. doi:10.1016/j.tube.2011.01.001
59. Walsh MC, Camerlin AJ, Miles R, et al. The sensitivity of interferon-gamma release assays is not compromised in tuberculosis patients with diabetes. Int J Tuberc Lung Dis. 2011;15(2):179-184.
60. Tan CK, Lai CC, Chen HW, et al. Enzyme-linked immunospot assay for interferon-gamma to support the diagnosis of tuberculosis in diabetic patients. Scand J Infect Dis. 2010;42(10):752-756.
61. Higuchi K, Kawabe Y, Mitarai S, Yoshiyama T, Harada N, Mori T. Comparison of performance in two diagnostic methods for tuberculosis infection. Med Microbiol Immunol. 2009;198(1):33-37. doi:10.1007/s00430-008-0102-5
62. Kobashi Y, Mouri K, Yagi S, et al. Clinical evaluation for diagnosing active TB disease and transitional change of two commercial blood tests. Scand J Infect Dis. 2008;40(8):629-634. doi:10.1080/00365540801932454
63. Kobashi Y, Abe M, Mouri K, Obase Y, Miyashita N, Oka M. Usefulness of tuberculin skin test and three interferon-gamma release assays for the differential diagnosis of pulmonary tuberculosis. Intern Med. 2012;51(10):1199-1205. doi:10.2169/internalmedicine.51.5703
64. Kang WL, Wang GR, Wu MY, et al. Interferon-gamma release assay is not appropriate for the diagnosis of active tuberculosis in high-burden tuberculosis settings: a retrospective multicenter investigation. Chin Med J (Engl). 2018;131(3):268-275. doi:10.4103/0366-6999.2
65. Du F, Xie L, Zhang Y, et al. Prospective comparison of QFT-GIT and T-SPOT.TB assays for diagnosis of active tuberculosis. Sci Rep. 2018;8(1):5882. doi:10.1038/s41598-018-24285-3
66. Di L, Li Y. The risk factor of false-negative and false-positive for T-SPOT.TB in active tuberculosis. J Clin Lab Anal. 2018;32(2):e22273. doi:10.1002/jcla.2227jc
67. Bae W, Park KU, Song EY, et al. Comparison of the sensitivity of QuantiFERON-TB Gold In-Tube and T-SPOT.TB according to patient age. PLoS One. 2016;11(6):e0156917. doi:10.1371/journal.pone.0156917
68. Takwoingi Y, Whitworth H, Rees-Roberts M, et al. Interferon gamma release assays for Diagnostic Evaluation of Active tuberculosis (IDEA): test accuracy study and economic evaluation. Health Technol Assess. 2019;23(23):1-152. doi:10.3310/hta23230
69. Xuan WX, Lu TT, Wang Z, An YX, Zhang XJ. Diagnostic significance of Mycobacterium tuberculosis T-cell assays for active tuberculosis. Chin Med J (Engl). 2017;130(7):811-816. doi:10.4103/0366-6999.202738
70. Takeda K, Nagai H, Suzukawa M, et al. Comparison of QuantiFERON-TB Gold Plus, QuantiFERON-TB Gold In-Tube, and T-SPOT.TB among patients with tuberculosis. J Infect Chemother. 2020;26(11):1205-1212. doi:10.1016/j.jiac.2020.06.019
71. Takasaki J, Manabe T, Morino E, et al. Sensitivity and specificity of QuantiFERON-TB Gold Plus compared with QuantiFERON-TB Gold In-Tube and T-SPOT.TB on active tuberculosis in Japan. J Infect Chemother. 2018;24(3):188-192. doi:10.1016/j.jiac.2017.10.009
72. Zhang L, Shi X, Zhang Y, et al; TB for Active Tuberculosis in Clinical Practice. Analysis of factors influencing diagnostic accuracy of T-SPOT. Sci Rep. 2017;7(1):7764. doi:10.1038/s41598-017-07785-6
73. Wang S, Wu J, Chen J, et al. Evaluation of Mycobacterium tuberculosis–specific antibody responses for the discrimination of active and latent tuberculosis infection. Int J Infect Dis. 2018;70:1-9. doi:10.1016/j.ijid.2018.01.007
74. Pan L, Jia H, Liu F, et al. Risk factors for false-negative T-SPOT.TB assay results in patients with pulmonary and extra-pulmonary TB. J Infect. 2015;70(4):367-380. doi:10.1016/j.jinf.2014.12.018
75. Sun Q, Wei W, Sha W. Potential role for Mycobacterium tuberculosis specific IL-2 and IFN-γ responses in discriminating between latent infection and active disease after long-term stimulation. PLoS One. 2016;11(12):e0166501. doi:10.1371/journal.pone.0166501
76. Qiu Y, Wang Y, Lin N, et al. Multicenter clinical evaluation of three commercial reagent kits based on the interferon-gamma release assay for the rapid diagnosis of tuberculosis in China. Int J Infect Dis. 2015;40:108-112. doi:10.1016/j.ijid.2015.09.004
77. Kim JY, Park JH, Kim MC, et al. Combined IFN-γ and TNF-α release assay for differentiating active tuberculosis from latent tuberculosis infection. J Infect. 2018;77(4):314-320. doi:10.1016/j.jinf.2018.04.011
78. Lian G, Du F, Wu H, He M, Liu Z. Factors contributing to false-negative enzyme-linked immunospot assay for interferon-gamma results in active tuberculosis. Clin Lab. 2017;63(4):773-779. doi:10.7754/Clin.Lab.2016.161007
79. Whitworth HS, Badhan A, Boakye AA, et al; Interferon-γ Release Assays for Diagnostic Evaluation of Active Tuberculosis Study Group. Clinical utility of existing and second-generation interferon-γ release assays for diagnostic evaluation of tuberculosis: an observational cohort study. Lancet Infect Dis. 2019;19(2):193-202. doi:10.1016/S1473-3099(18)30613-3
80. Fukushima K, Kubo T, Akagi K, et al. Clinical evaluation of QuantiFERON®-TB Gold Plus directly compared with QuantiFERON®-TB Gold In-Tube and T-Spot®.TB for active pulmonary tuberculosis in the elderly. J Infect Chemother. 2021;27(12):1716-1722. doi:10.1016/j.jiac.2021.08.016
81. Shangguan Y, Fang H, Wang S, et al. Risk factors for negative T-SPOT.TB assay results in patients with confirmed active tuberculosis: a retrospective study. J Infect Dev Ctries. 2020;14(11):1288-1295. doi:10.3855/jidc.12063
82. Horne DJ, Jones BE, Kamada A, et al. Multicenter study of QuantiFERON®-TB Gold Plus in patients with active tuberculosis. Int J Tuberc Lung Dis. 2018;22(6):617-621. doi:10.5588/ijtld.17.0721
83. Hoffmann H, Avsar K, Göres R, Mavi SC, Hofmann-Thiel S. Equal sensitivity of the new generation QuantiFERON-TB Gold plus in direct comparison with the previous test version QuantiFERON-TB Gold IT. Clin Microbiol Infect. 2016;22(8):701-703. doi:10.1016/j.cmi.2016.05.006
84. Akashi S, Suzukawa M, Takeda K, et al. IL-1RA in the supernatant of QuantiFERON-TB Gold In-Tube and QuantiFERON-TB Gold Plus is useful for discriminating active tuberculosis from latent infection. J Infect Chemother. 2021;27(4):617-624. doi:10.1016/j.jiac.2020.11.023
85. Lee MR, Chang CH, Chang LY, et al. CD8 response measured by QuantiFERON-TB Gold Plus and tuberculosis disease status. J Infect. 2019;78(4):299-304. doi:10.1016/j.jinf.2019.01.007
86. Yi L, Sasaki Y, Nagai H, et al. Evaluation of QuantiFERON-TB gold plus for detection of Mycobacterium tuberculosis infection in Japan. Sci Rep. 2016;6:30617. doi:10.1038/srep30617
87. Siegel SAR, Cavanaugh M, Ku JH, Kawamura LM, Winthrop KL. Specificity of QuantiFERON-TB Plus, a new-generation interferon gamma release assay. J Clin Microbiol. 2018;56(12):e00629-18. doi:10.1128/JCM.00629-18
88. Manngo PM, Gutschmidt A, Snyders CI, et al. Prospective evaluation of host biomarkers other than interferon gamma in QuantiFERON Plus supernatants as candidates for the diagnosis of tuberculosis in symptomatic individuals. J Infect. 2019;79(3):228-235. doi:10.1016/j.jinf.2019.07.07
89. Lee JK, Lee HW, Heo EY, Yim JJ, Kim DK. Comparison of QuantiFERON-TB Gold Plus and QuantiFERON-TB Gold In-Tube tests for patients with active and latent tuberculosis: a prospective cohort study. J Infect Chemother. 2021;27(12):1694-1699. doi:10.1016/j.jiac.2021.08.003
90. Jung J, Jhun BW, Jeong M, et al. Is the new interferon-gamma releasing assay beneficial for the diagnosis of latent and active Mycobacterium tuberculosis infections in tertiary care setting? J Clin Med. 2021;10(7):1376. doi:10.3390/jcm10071376
91. Qian F, Wang W, Qiu Z, et al. Evaluation of a new tuberculosis-related interferon gamma release assay for tuberculosis infection diagnosis in Huzhou, eastern China. Indian J Pathol Microbiol. 2013;56(2):125-128. doi:10.4103/0377-4929.118694
92. Feng JY, Huang SF, Lee MC, et al. Characteristics of IFN-γ responses in IGRA among pulmonary TB suspects in a TB-endemic area. Diagn Microbiol Infect Dis. 2013;77(1):46-52. doi:10.1016/j.diagmicrobio.2013.05.020
93. Min JW, Lee HY, Lee JS, et al. Effect of prolonged incubation time on results of the QuantiFERON-TB Gold In-Tube assay for diagnosis of latent tuberculosis infection. Clin Vaccine Immunol. 2013;20(9):1377-1380. doi:10.1128/CVI.00290-13
94. Jeon YL, Nam YS, You E, et al. Factors influencing discordant results of the QuantiFERON-TB Gold In-Tube test in patients with active TB. J Infect. 2013;67(4):288-293. doi:10.1016/j.jinf.2013.06.005
95. Wang S, Chen J, Zhang Y, et al. Mycobacterium tuberculosis region of difference (RD) 2 antigen Rv1985c and RD11 antigen Rv3425 have the promising potential to distinguish patients with active tuberculosis from M. bovis BCG-vaccinated individuals. Clin Vaccine Immunol. 2013;20(1):69-76. doi:10.1128/CVI.00481-12
96. Kim S, Kim YK, Lee H, et al. Interferon gamma mRNA quantitative real-time polymerase chain reaction for the diagnosis of latent tuberculosis: a novel interferon gamma release assay. Diagn Microbiol Infect Dis. 2013;75(1):68-72. doi:10.1016/j.diagmicrobio.2012.09.015
97. Lee J, Lee SY, Won DI, Cha SI, Park JY, Kim CH. Comparison of whole-blood interferon-γ assay and flow cytometry for the detection of tuberculosis infection. J Infect. 2013;66(4):338-345. doi:10.1016/j.jinf.2012.08.020
98. Pai M, Joshi R, Bandyopadhyay M, et al. Sensitivity of a whole-blood interferon-gamma assay among patients with pulmonary tuberculosis and variations in T-cell responses during anti-tuberculosis treatment. Infection. 2007;35(2):98-103.
99. Harada N, Higuchi K, Yoshiyama T, et al. Comparison of the sensitivity and specificity of two whole blood interferon-gamma assays for M. tuberculosis infection. J Infect. 2008;56(5):348-353. doi:10.1016/j.jinf.2008.02.011
100. Legesse M, Ameni G, Mamo G, Medhin G, Bjune G, Abebe F. Performance of QuantiFERON-TB Gold In-Tube (QFTGIT) for the diagnosis of Mycobacterium tuberculosis (Mtb) infection in Afar Pastoralists, Ethiopia. BMC Infect Dis. 2010;10:354. doi:10.1186/1471-2334-10-354
101. Adetifa IM, Lugos MD, Hammond A, et al. Comparison of two interferon gamma release assays in the diagnosis of Mycobacterium tuberculosis infection and disease in The Gambia. BMC Infect Dis. 2007;7:122. doi:10.1186/1471-2334-7-122
102. Taki-Eddin L, Monem F. Utility of an interferon-gamma release assay as a potential diagnostic aid for active pulmonary tuberculosis. J Infect Dev Ctries. 2012;6(1):67-72. doi:10.3855/jidc.2098
103. Erdem H, Ozturk-Engin D, Elaldi N, et al. The microbiological diagnosis of tuberculous meningitis: results of Haydarpasa-1 study. Clin Microbiol Infect. 2014;20(10):O600-O608. doi:10.1111/1469-0691.1247
104. Kim CH, Lim JK, Yoo SS, et al. Diagnostic performance of the QuantiFERON-TB Gold In-Tube assay and factors associated with nonpositive results in patients with miliary tuberculosis. Clin Infect Dis. 2014;58(7):986-989. doi:10.1093/cid/ciu045
105. Lempp JM, Margan JZ, Hankinson AL, Toney S, Keep LW, Mazurek G. Assessment of the QuantiFERON-TB Gold In-Tube Test for the Detection of Mycobacterium tuberculosis Infection in US Navy Recruits. Centers for Disease Control and Prevention; 2015.
106. Niguse S, Desta K, Gebremichael G, Gebrezgeaxier A, Getahun M, Kassa D. QuantiFERON-TB Gold In-Tube test for the diagnosis of active and latent tuberculosis in selected health facilities of Addis Ababa, Ethiopia. BMC Res Notes. 2018;11(1):293. doi:10.1186/s13104-018-3410-x
107. Lombardi G, Pellegrino MT, Denicolò A, et al. QuantiFERON-TB performs better in children, including infants, than in adults with active tuberculosis: a multicenter study. J Clin Microbiol. 2019;57(10):e01048-19. doi:10.1128/JCM.01048-19
108. Jeon Y, Kim MJ, Lee WI, Kim MH, Kang SY. Diagnostic utility of new equation for active tuberculosis based on parameters of interferon-release assay. Lab Med. 2017;48(3):214-219. doi:10.1093/labmed/lmx022
109. Kiazyk S, Larcombe L, Lopez C, et al. IFN-γ promoter polymorphisms do not affect QuantiFERON TB Gold In-Tube test results in a Canadian population. Int J Tuberc Lung Dis. 2016;20(12):1647-1652. doi:10.5588/ijtld.16.0223
110. Waruk JL, Machuki Z, Mesa C, et al. Cytokine and chemokine expression profiles in response to Mycobacterium tuberculosis stimulation are altered in HIV-infected compared to HIV-uninfected subjects with active tuberculosis. Tuberculosis (Edinb). 2015;95(5):555-561. doi:10.1016/j.tube.2015.05.001
111. Kwon YS, Kim YH, Jeon K, et al. Factors that predict negative results of QuantiFERON-TB Gold In-Tube test in patients with culture-confirmed tuberculosis: a multicenter retrospective cohort study. PLoS One. 2015;10(6):e0129792. doi:10.1371/journal.pone.0129792
112. Pathakumari B, Prabhavathi M, Raja A. Evaluation of cytokine and chemokine response elicited by Rv2204c and Rv0753c to detect latent tuberculosis infection. Cytokine. 2015;76(2):496-504. doi:10.1016/j.cyto.2015.07.028
113. Huang CT, Lee MR, Ruan SY, Tsai YJ, Wang JY, Yu CJ. Prognostic value of the mitogen response in the interferon-γ release assay in patients with culture-confirmed tuberculosis. Respir Med. 2019;158:49-54. doi:10.1016/j.rmed.2019.10.004
114. Whitworth WC, Hamilton LR, Goodwin DJ, et al. Within-subject interlaboratory variability of QuantiFERON-TB Gold In-Tube tests. PLoS One. 2012;7(9):e43790. doi:10.1371/journal.pone.0043790
115. Whitworth WC, Goodwin DJ, Racster L, et al. Variability of the QuantiFERON-TB Gold In-Tube test using automated and manual methods. PLoS One. 2014;9(1):e86721. doi:10.1371/journal.pone.0086721
116. Dorman SE, Belknap R, Graviss EA, et al; Tuberculosis Epidemiologic Studies Consortium. Interferon-γ release assays and tuberculin skin testing for diagnosis of latent tuberculosis infection in healthcare workers in the United States. Am J Respir Crit Care Med. 2014;189(1):77-87. doi:10.1164/rccm.201302-0365OC
117. Franken WP, Thijsen S, Wolterbeek R, et al. Variation in T-SPOT.TB spot interpretation between independent observers from different laboratories. Clin Vaccine Immunol. 2009;16(10):1439-1442. doi:10.1128/CVI.00456-08
118. O'Shea MK, Fletcher TE, Beeching NJ, et al. Tuberculin skin testing and treatment modulates interferon-gamma release assay results for latent tuberculosis in migrants. PLoS One. 2014;9(5):e97366. doi:10.1371/journal.pone.0097366
119. Thompson MJ; International Union Against Tuberculosis Committee on Prophylaxis. Efficacy of various durations of isoniazid preventive therapy for tuberculosis: five years of follow-up in the IUAT trial. Bull World Health Organ. 1982;60(4):555-564.
120. Menzies D, Long R, Trajman A, et al. Adverse events with 4 months of rifampin therapy or 9 months of isoniazid therapy for latent tuberculosis infection: a randomized trial. Ann Intern Med. 2008;149(10):689-697. doi:10.7326/0003-4819-149-10-200811180-0000
121. Menzies D, Adjobimey M, Ruslami R, et al. Four months of rifampin or nine months of isoniazid for latent tuberculosis in adults. N Engl J Med. 2018;379(5):440-453. doi:10.1056/NEJMoa1714283
122. Sterling TR, Villarino ME, Borisov AS, et al; TB Trials Consortium PREVENT TB Study Team. Three months of rifapentine and isoniazid for latent tuberculosis infection. N Engl J Med. 2011;365(23):2155-2166. doi:10.1056/NEJMoa1104875
123. Sun HY, Huang YW, Huang WC, et al. Twelve-dose weekly rifapentine plus isoniazid for latent tuberculosis infection: a multicentre randomised controlled trial in Taiwan. Tuberculosis (Edinb). 2018;111:121-126. doi:10.1016/j.tube.2018.05.013
124. Zenner D, Beer N, Harris RJ, Lipman MC, Stagg HR, van der Werf MJ. Treatment of latent tuberculosis infection: an updated network meta-analysis. Ann Intern Med. 2017;167(4):248-255. doi:10.7326/M17-0609
125. Bush OB Jr, Sugimoto M, Fujii Y, Brown FA Jr. Isoniazid prophylaxis in contacts of persons with known tuberculosis: second report. Am Rev Respir Dis. 1965;92(5):732-740.
126. Falk A, Fuchs GF. Prophylaxis with isoniazid in inactive tuberculosis: a Veterans Administration Cooperative Study XII. Chest. 1978;73(1):44-48. doi:10.1378/chest.73.1.44
127. Ferebee SH, Mount FW, Murray FJ, Livesay VT. A controlled trial of isoniazid prophylaxis in mental institutions. Am Rev Respir Dis. 1963;88:161-175.
128. Veening GJ. Long-term isoniazid prophylaxis: controlled trial on INH prophylaxis after recent tuberculin conversion in young adults. Bull Int Union Tuberc. 1968;41:169-171.
129. Campbell JR, Trajman A, Cook VJ, et al. Adverse events in adults with latent tuberculosis infection receiving daily rifampicin or isoniazid: post-hoc safety analysis of two randomised controlled trials. Lancet Infect Dis. 2020;20(3):318-329. doi:10.1016/S1473-3099(19)30575
130. Menzies D, Dion MJ, Rabinovitch B, Mannix S, Brassard P, Schwartzman K. Treatment completion and costs of a randomized trial of rifampin for 4 months versus isoniazid for 9 months. Am J Respir Crit Care Med. 2004;170(4):445-449. doi:10.1164/rccm.200404-478OC
131. White MC, Tulsky JP, Lee JR, et al. Isoniazid vs. rifampin for latent tuberculosis infection in jail inmates: toxicity and adherence. J Correct Health Care. 2012;18(2):131-142. doi:10.1177/1078345811435973
132. Sterling TR, Moro RN, Borisov AS, et al; Tuberculosis Trials Consortium. Flu-like and other systemic drug reactions among persons receiving weekly rifapentine plus isoniazid or daily isoniazid for treatment of latent tuberculosis infection in the PREVENT Tuberculosis study. Clin Infect Dis. 2015;61(4):527-535. doi:10.1093/cid/civ323
133. Surey J, Stagg HR, Yates TA, et al. An open label, randomised controlled trial of rifapentine versus rifampicin based short course regimens for the treatment of latent tuberculosis in England: the HALT LTBI pilot study. BMC Infect Dis. 2021;21(1):90. doi:10.1186/s12879-021-05766-9
134. Gao L, Zhang H, Xin H, et al; LATENTTB-NSTM Study Team. Short-course regimens of rifapentine plus isoniazid to treat latent tuberculosis infection in older Chinese patients: a randomised controlled study. Eur Respir J. 2018;52(6):1801470. doi:10.1183/13993003.01470-2018
135. Falk A, Fuchs G. Isoniazid (INH) prophylaxis in inactive pulmonary tuberculosis: report of a Veterans Administration Cooperative Study. Bull Int Union Tuberc. 1976;51(1):219-223.
136. Bailey WC, Weill H, DeRouen TA, Ziskind MM, Jackson HA. The effect of isoniazid on transaminase levels. Ann Intern Med. 1974;81(2):200-202. doi:10.7326/0003-4819-81-2-200
137. Byrd RB, Horn BR, Griggs GA, Solomon DA. Isoniazid chemoprophylaxis: association with detection and incidence of liver toxicity. Arch Intern Med. 1977;137(9):1130-1133. doi:10.1001/archinte.1977.03630210016007
138. Krebs A. The IUAT trial on isoniazid preventive treatment in persons with fibrotic lung lesions. Bull Int Union Tuberc. 1976;51(1):193-201.
139. Kahwati LC, Feltner C, Halpern M, et al. Primary care screening and treatment for latent tuberculosis infection in adults: evidence report and systematic review for the US Preventive Services Task Force. JAMA. 2016;316(9):970-983. doi:10.1001/jama.2016.10357
140. Menzies D, Pai M, Comstock G. Meta-analysis: new tests for the diagnosis of latent tuberculosis infection: areas of uncertainty and recommendations for research. Ann Intern Med. 2007;146(5):340-354. doi:10.7326/0003-4819-146-5-200703060-00006
141. Pai M, Zwerling A, Menzies D. Systematic review: T-cell-based assays for the diagnosis of latent tuberculosis infection: an update. Ann Intern Med. 2008;149(3):177-184. doi:10.7326/0003-4819-149-3-200808050-0
142. Diel R, Loddenkemper R, Nienhaus A. Evidence-based comparison of commercial interferon-gamma release assays for detecting active TB: a meta-analysis. Chest. 2010;137(4):952-968. doi:10.1378/chest.09-235
143. Diel R, Goletti D, Ferrara G, et al. Interferon-γ release assays for the diagnosis of latent Mycobacterium tuberculosis infection: a systematic review and meta-analysis. Eur Respir J. 2011;37(1):88-99. doi:10.1183/09031936
Evidence reviews for the US Preventive Services Task Force (USPSTF) use an analytic framework to visually display the key questions that the review will address to allow the USPSTF to evaluate the effectiveness and safety of a preventive service. The questions are depicted by linkages that relate interventions and outcomes. For additional information see the USPSTF Procedure Manual.9 CDC indicates Centers for Disease Control and Prevention; IGRA, interferon-gamma release assay; LTBI, latent tuberculosis infection; TST, tuberculin skin test.
The sum of the number of studies per key question (KQ) exceeds the total number of studies because some studies were applicable to multiple KQs.
Test | Sensitivity | Specificity | ||||
---|---|---|---|---|---|---|
No. of studies (total N) |
Pooled estimate (95% CI) | I2, % | No. of studies (total N) |
Pooled estimate (95% CI) | I2, % | |
TST induration threshold | ||||||
5 mm | 12 (1323) | 0.80 (0.74-0.87) | 94.2 | 3 (5149) | 0.95 (0.94-0.97) | NAa |
10 mm | 15 (1427) | 0.81 (0.76-0.87) | 91.4 | 8 (9604) | 0.98 (0.97-0.99) | 96.2 |
15 mm | 9 (1004) | 0.60 (0.46-0.74) | 96.5 | 10 (9563) | 0.99 (0.98-0.99) | 88.7 |
IGRA | ||||||
T-SPOT.TB | 37 (5367) | 0.90 (0.87-0.92) | 93.2 | 2 (1664) | 0.95 (0.91-0.97)b | NAa |
0.97 (0.96-0.98)b | ||||||
QFT-GIT | 48 (7055) | 0.81 (0.79-0.84) | 89.9 | 3 (2090) | 0.99 (0.98-0.99) | NAa |
QFT-Plus | 11 (939) | 0.89 (0.84-0.94) | 87.9 | 1 (211) | 0.98 (0.95-0.99)b | NAa |
Abbreviations: IGRA, interferon-gamma release assay; NA, not applicable; QFT-GIT, QuantiFERON-TB Gold In-Tube (third-generation test); QFT-Plus, QuantiFERON-TB Gold Plus (fourth-generation test); T-SPOT.TB, commercial ELISPOT assay; TST, tuberculin skin test.
a I2 was not calculated when fewer than 4 studies were available.
b Fewer than 3 studies were available, so we did not conduct a quantitative synthesis.
Topic | No. of studies (No. of participants) |
Summary of findings | Consistency and precision | Study quality | Limitations (including reporting bias) | Overall strength of evidence | Applicability |
---|---|---|---|---|---|---|---|
KQ1: Benefits of screening | |||||||
0 | No eligible studies | NA | NA | NA | Insufficient | NA | |
KQ2: Accuracy of screening | |||||||
31 studies of test accuracy (11,879) | 5-mm induration: pooled sensitivity, 0.80 (95% CI, 0.74-0.87); 12 studies (1323 participants); pooled specificity, 0.95 (95% CI, 0.94-0.97); 3 studies (5149 participants)
10-mm induration: pooled sensitivity, 0.81 (95% CI, 0.76-0.87); 15 studies (1427 participants); pooled specificity, 0.98 (95% CI, 0.97-0.99); 8 studies (9604 participants) 15-mm induration: pooled sensitivity, 0.60 (95% CI, 0.46-0.74); 9 studies (1004 participants); pooled specificity, 0.99 (95% CI, 0.98-0.99); 10 studies (9563 participants) |
Consistent but imprecise for sensitivity for 5 mm and 10 mm
Inconsistent and imprecise for sensitivity for 15 mm Consistent and precise for specificity |
Fair to good | Independent interpretation of test often not reported
Description of participant characteristics highly variable across studies Reporting bias not detected |
Moderate forsensitivity for 5 mm and 10 mm
Low for sensitivity for 15 mm High for specificity |
TST using Mantoux procedure with intermediate-strength dose of PPD
Lack of direct test for LTBI requires extrapolation of test characteristics from active tuberculosis (sensitivity) and healthy, low-risk populations (specificity) The 15-mm threshold is not recommended in current practice for patients at high risk for tuberculosis infection |
|
IGRA | 79 studies of test accuracy (13,493) | T-SPOT.TB: pooled sensitivity, 0.90 (95% CI, 0.87-0.92); 37 studies (5367 participants); specificity from 2 studies (1664 participants): 0.95 (95% CI, 0.91-0.97) and 0.97 (95% CI, 0.96-0.98)
QFT-GIT: Pooled sensitivity, 0.81 (95% CI, 0.79-0.84); 48 studies (7055 participants); pooled specificity, 0.99 (95% CI, 0.98-0.99); 3 studies (2090 participants) QFT-Plus: pooled sensitivity, 0.89 (95% CI, 0.84-0.94); 11 studies (939 participants); specificity, 0.98 (95% CI, 0.95-0.99); 1 study (211 participants) |
Consistent and precise for sensitivity for all IGRAs
For specificity, consistent and precise for T-SPOT.TB and QFT-GIT Consistency unknown (single study), precise for QFT-Plus |
Fair to good for sensitivity for T-SPOT.TB and QFT-GIT
Fair for QFT-Plus Fair for specificity for all IGRAs |
Independent interpretation of test often not reported; description of participant characteristics highly variable across studies
Studies varied with respect to how they reported borderline or indeterminate results Reporting bias not determined |
High for sensitivity for T-SPOT.TB and QFT-GIT
Moderate for QFT-Plus Moderate for specificity for T-SPOT.TB and QFT-GIT Low for QFT-Plus |
Lack of direct test for LTBI requires extrapolation of test characteristics from active tuberculosis (sensitivity) and healthy, low-risk (specificity) populations
IGRAs require proper specimen handling prior to assay |
KQ3: Benefits of treatment | |||||||
Isoniazid vs placebo | Main analysis: 1 RCT (27,830)a
Sensitivity analysis: 5 RCTs (36,823) |
Developing active tuberculosis
Main analysis: RR, 0.35 at 5 y of follow-up (95% CI, 0.24-0.52) for 24 weeksb of isoniazid vs placebo; NNT = 112 Sensitivity analysis: pooled RR, 0.31 at 2 to 10 y of follow-upc (95% CI, 0.24-0.41) Deaths due to tuberculosis 0 vs 3 deaths; RR, 0.14 (95% CI, 0.01-2.78) for combined isoniazid groups vs placebo |
Consistency NA for the single study; reasonably precise for developing active tuberculosis but imprecise for other outcomes
Consistent across RCTs used in sensitivity analysis (I2 = 0%); precise |
Good (fair to good for sensitivity analysis) | Studies used in sensitivity analysis used longer duration (1 y of isoniazid)d and some used doses lower or higher than currently recommended; 1 trial was poor quality
Small number of events for deaths due to tuberculosis Reporting bias not detected |
High for benefit of isoniazid vs placebo for reducing risk of developing active tuberculosis
Low for benefit for reducing deaths due to tuberculosis Insufficient for all-cause mortality |
Study population in main analysis trial included those with fibrotic pulmonary lesions and a ≥6-mm TST induration; median age 50 y; trials in main and sensitivity analysis published >40 y ago
Trials in sensitivity analysis enrolled household contacts of active cases, veterans with inactive pulmonary tuberculosis, persons residing in mental institutions, and military members exposed to an active tuberculosis case |
Rifampin vs isoniazid | 2 RCTs (6910) | Developing active tuberculosis: 8 vs 9; 2 RCTs (6910)
All-cause mortality: 22 vs 15; 2 RCTs (6910) Deaths due to tuberculosis: 0 vs 0; 1 RCT (847) |
Consistency unknown, imprecise | Fair to good | Open-label
Unclear allocation concealment No events for deaths due to tuberculosis |
Low for noninferiority of shorter-duration rifampin
Insufficient for deaths due to tuberculosis |
Study population included those 18 y or older with a positive TST/IGRA result
Second study required patients to be at increased risk of progression to active tuberculosis About half of participants were aged 18-35 y |
Rifapentine + isoniazid vs isoniazid alone | 2 RCTs (7149)e | Developing active tuberculosis: 5 vs 10;f 1 RCT (6886)e
Deaths due to tuberculosis: 0 vs 0; 1 RCT (263) All-cause mortality: 30 vs 34; 2 RCTs (7149) |
Consistency NA, single study for each outcome; reasonably precise for developing active tuberculosis and all-cause mortality, and imprecise for deaths due to tuberculosis | Fair | Both studies were open label; no data for deaths due to tuberculosis; differential noncompletion and withdrawal rates in 1 study | Low for noninferiority of rifapentine + isoniazid
Insufficient for deaths due to tuberculosis Low for all-cause mortality for noninferiority of rifapentine + isoniazid |
In the larger trial, median age 37 y; 57% White; combined intervention was directly observed therapy once weekly for 3 mo; high-risk participants; most had a close contact with an active tuberculosis case; 25% were included solely because of recent TST conversion
In the smaller trial, mean age 32 y; all participants had close contact with an active tuberculosis case and had a positive TST result within 1 mo after exposure |
KQ4: Harms of screening | |||||||
0 | No eligible studies | NA | NA | NA | Insufficient | NA | |
KQ5: Harms of treatment | |||||||
Isoniazid vs placebo | Main analysis: 1 RCT (27,830)a
Sensitivity analysis for hepatotoxicity: 4 RCTs (35,161) Sensitivity analysis for discontinuation due to adverse events: 4 RCTs (55,398) |
Hepatotoxicity at 5 y: RR, 4.59 (95% CI, 2.03-10.39) for isoniazid (24 wk) vs placebo; NNH = 279
Sensitivity analysis: pooled RR, 5.04 (95% CI, 2.50-10.15; I2 = 0%) Dose-response effect seen with increased risk with longer treatment duration Death from hepatotoxicity: 0 in placebo group, 0.14 per 1000 receiving isoniazid; RR, 2.35 (95% CI, 0.12-45.46); NNH = 6947 Discontinuation of treatment due to adverse events: RR, 1.50 (95% CI, 1.18-1.89); NNH = 167 Sensitivity analysis: pooled RR, 1.58 (95% CI, 1.00-2.49) Gastrointestinal adverse events: RR, 1.33 (95% CI, 1.01-1.75) Sensitivity analysis: different outcomes reported across studies; no differences among group |
Consistency NA, single study in main analysis; consistent across studies in sensitivity analysis; imprecise for hepatotoxicity; reasonably precise for discontinuation due to adverse events and other gastrointestinal adverse events | Fair | Harm ascertainment techniques not well described
Studies used in sensitivity analysis limited by ascertainment bias Small number of events for some outcomes |
Moderate for harm for hepatotoxicity and discontinuation due to adverse events
Low for harm for other gastrointestinal adverse events |
Study population in main analysis trial includes those with fibrotic pulmonary lesions and a ≥6-mm TST induration; median age 50 y; trials completed >40 y ago
Trials in sensitivity analysis enrolled employees in a US hospital, individuals meeting ATS criteria referred to a US military medical center, and veterans with inactive pulmonary tuberculosis |
Isoniazid vs rifampin | 4 RCTs (7390) | Hepatotoxicity: pooled RR, 4.22 (95% CI, 2.21-8.06); 3 trials (7339)
Death from hepatotoxicity: no events reported in any groups of any study Discontinuations due to adverse events: RR, 2.25 (95% CI, 0.90-5.59); 3 trials (7339) Gastrointestinal intolerance: total of 20 vs 19 events across trials; calculated RRs for the 2 trials with sufficient data were 0.34 (95% CI, 0.03-3.23) and 1.16 (95% CI, 0.62-2.19) |
Consistent; precise for hepatotoxicity
Inconsistent; imprecise for discontinuation due to adverse events and gastrointestinal intolerance |
Fair to good | 3 trials were open label, 1 trial with high attrition; duration of follow-up may be inadequate for some outcomes; for gastrointestinal intolerance, concern for ascertainment bias | High for greater risk of hepatotoxicity with isoniazid
Low for discontinuations due to adverse events Insufficient for gastrointestinal intolerance |
Trials published in 2004, 2008, 2012, 2018; participants had positive TST result following Canadian guidelines or were inmates diagnosed with LTBI at jail entry |
Rifapentine + isoniazid vs isoniazid alone | 2 RCTs (7149)e | Hepatotoxicity PREVENT TB trial: Grade 3 or 4: 210 vs 219; RR, 0.90 (95% CI, 0.75-1.08) Attributable to study drug: 17 vs 97; RR, 0.16 (95% CI, 0.10-0.28) Sun et al:123 AST/ALT >3× ULN normal: 6 vs 13; RR, 0.46 (95% CI, 0.18-1.17) Clinically relevant hepatotoxicity: 2 vs 7; RR, 0.28 (95% CI, 0.06-1.34) Mortality due to hepatotoxicity: 0 vs 0 |
Consistent, imprecise | Fair | One study was open label
One study had high overall attrition, and the other had higher withdrawal and noncompletion rates in 1 group |
Low favoring less hepatotoxicity with rifapentine + isoniazid
Moderate favoring lower discontinuation due to adverse event with isoniazid Low favoring fewer systemic drug reactions with isoniazid |
PREVENT TB trial published in 2011, data were from the HIV-negative subgroup with TST or IGRA confirmation; combined intervention was directly observed therapy once weekly for 3 mo; high-risk individuals; most had close contact with an active tuberculosis case; 25% were included solely because of recent TST conversion
One study completed in Taiwan, all participants had close contact with an active tuberculosis case and had positive TST result within 1 mo after exposure |
Discontinuation due to adverse event PREVENT TB trial: 186 vs 136; RR, 1.28 (95% CI, 1.03-1.59) Sun et al:123 12 vs 7; RR, 1.70 (95% CI, 0.69-4.19) |
|||||||
Systemic drug reactions and hypersensitivity PREVENT TB trial: Possible hypersensitivity: 146 vs 17; RR, 8.04 (95% CI, 4.88-13.26) Any clinically significant systemic drug reaction: 138 vs 15; RR, 8.7 (95% CI 5.1-14.7) Sun et al:123 Any systemic drug reaction: 5 vs 0; RR, 10.9 (95% CI, 0.6-195.5) |
Abbreviations: ALT, alanine aminotransferase; AST, aspartate aminotransferase; ATS, American Thoracic Society; IGRA, interferon-gamma release assay; KQ, key question; LTBI, latent tuberculosis infection; NA, not applicable; NNH, number needed to harm; PPD, purified protein derivative; QFT-GIT, QuantiFERON-TB Gold-In-Tube (3rd-generation test); QFT-Plus, QuantiFERON-TB Gold Plus (4th-generation test); RCT, randomized clinical trial; RR, relative risk; T-SPOT.TB, commercial ELISPOT assay; TST, tuberculin skin test; ULN, upper limit of normal.
a Of the 27,830 participants in the IUAT trial, the only trial meeting all eligibility criteria for KQ3 that compared isoniazid with placebo, 6965 were treated with a US Centers for Disease Control and Prevention (CDC)–approved regimen (isoniazid [300 mg for 24 weeks]). The IUAT trial randomized 27,830 participants to isoniazid (300 mg for 12 weeks [6956]), isoniazid (300 mg for 24 weeks [6965]), isoniazid (300 mg for 52 weeks [6919]), or placebo (6990).
b The relative risks for the other treatment groups developing active tuberculosis compared with placebo were 0.79 (95% CI, 0.58-1.06) for 12 weeks of isoniazid and 0.25 (95% CI, 0.16-0.39) for 52 weeks of isoniazid.
c Follow-up for the 5 RCTs included in the sensitivity analysis ranged from 2 to 10 years; 1 study followed up patients for 2 years, 1 for 5 years (IUAT), 2 for 7 years, and 1 for 10 years.
d No longer a CDC-recommended treatment regimen.
e One open-label, noninferiority trial randomized 7731 participants; data were obtained from the CDC on the subset of participants most directly relevant for this review: the 6886 adults (aged ≥18 years) who were HIV-negative and TST- or IGRA-positive.
f The combination therapy group was found to be noninferior to the isoniazid-only group.