SYSTEMATIC REVIEW article

Front. Pharmacol., 08 January 2024

Sec. Pharmacology of Infectious Diseases

Volume 14 - 2023 | https://doi.org/10.3389/fphar.2023.1331371

The efficacy and safety of high-dose isoniazid-containing therapy for multidrug-resistant tuberculosis: a systematic review and meta-analysis

  • 1. Department of Laboratory Medicine, Chest Hospital of Guangxi Zhuang Autonomous Region, Liuzhou, Guangxi, China

  • 2. Department of Infectious Diseases, Chest Hospital of Guangxi Zhuang Autonomous Region, Liuzhou, Guangxi, China

  • 3. Department of Lab Medicine, Shandong Public Health Clinical Center, Shandong University, Jinan, Shandong, China

  • 4. Shandong Key Laboratory of Infectious Respiratory Disease, Jinan, Shandong, China

  • 5. Department of Cardiovascular Surgery, Shandong Public Health Clinical Center, Shandong University, Jinan, Shandong, China

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Abstract

Objectives: Accumulating evidence are available on the efficacy of high-dose isoniazid (INH) for multidrug-resistant tuberculosis (MDR-TB) treatment. We aimed to perform a systematic review and meta-analysis to compare clinical efficacy and safety outcomes of high-dose INH- containing therapy against other regimes.

Methods: We searched the following databases PubMed, Embase, Scopus, Web of Science, CINAHL, the Cochrane Library, and ClinicalTrials.gov. We considered and included any studies comparing treatment success, treatment unsuccess, or adverse events in patients with MDR-TB treated with high-dose INH (>300 mg/day or >5 mg/kg/day).

Results: Of a total of 3,749 citations screened, 19 studies were included, accounting for 5,103 subjects, the risk of bias was low in all studies. The pooled treatment success, death, and adverse events of high-dose INH-containing therapy was 76.5% (95% CI: 70.9%–81.8%; I2: 92.03%), 7.1% (95% CI: 5.3%–9.1%; I2: 73.75%), and 61.1% (95% CI: 43.0%–77.8%; I2: 98.23%), respectively. The high-dose INH administration is associated with significantly higher treatment success (RR: 1.13, 95% CI: 1.04–1.22; p < 0.01) and a lower risk of death (RR: 0.45, 95% CI: 0.32–0.63; p < 0.01). However, in terms of other outcomes (such as adverse events, and culture conversion rate), no difference was observed between high-dose INH and other treatment options (all p > 0.05). In addition, no publication bias was observed.

Conclusion: In MDR-TB patients, high-dose INH administration is associated with a favorable outcome and acceptable adverse-event profile.

Systematic review registration: identifier CRD42023438080

Introduction

Tuberculosis (TB) remains a serious public health issue and one of the leading worldwide causes of mortality. According to Global Tuberculosis Report 2023, there were an estimated 10.6 million incident cases of TB in 2022 worldwide and an estimated 1.30 million deaths (Global Tuberculosis Report, 2023). Remarkably, the COVID-19 has ceased the global progress against tuberculosis and influenced it severely, making the situation worse than initially thought (Patra et al., 2022). For example, the estimated number of deaths from TB increased between 2019 and 2021, and an estimated 1.6 million death was reported in 2021 by the World Health Organization (WHO) (Bagcchi, 2023).

Multidrug-resistant TB (MDR-TB), resistant to at least isoniazid (INH) and rifampin, is the most urgent concern to combat TB and challenging TB control efforts. In 2021, the estimated proportion of people with TB who had MDR/RR-TB was 3.6% (95% confidence interval [CI]: 2.7%–4.4%) among new cases and 18% (95% CI: 11%–26%) among those previously treated (Bagcchi, 2023). Most patients with MDR-TB carry a poor outcome. In general, its treatment success is low, with a pooled estimate of 60% in a previous meta-analysis (Bastos et al., 2017). Regarding children with MDR-TB, the situation may be better, approximately 78% of children had a successful treatment outcome at the end of therapy (Harausz et al., 2018a). The treatment of MDR-TB requires prolonged multidrug regimens that often include toxic and weakly effective medications. A meta-analysis demonstrated that some medications such as second-line injectable drugs (amikacin: 10.2% [95% CI: 6.3%–16.0%]; kanamycin: 7.5% [95% CI: 4.6%–11.9%]; capreomycin: 8·2% [95% CI: 6.3%–10.7%]), aminosalicylic acid (11.6%, 95% CI:7.1%–18.3%), and linezolid (14.1%, 95% CI: 9.9%–19.6%) had the high incidence of adverse events leading to permanent drug discontinuation (Lan et al., 2020). In addition, long-term physical sequelae such as respiratory (44.4%; 95% CI: 36.7%–52.1%), hearing (26.7%; 95% CI: 23.85%–29.7%), musculoskeletal (10.1%; 95% CI: 7.0%–13.2%), neurological (8.4%; 95% CI: 6.5%–10.3%), renal (8.1%: 95% CI: 6.3%–10.0%), hepatic (7.3%; 95% CI: 5.1%–9.4%), and visual sequelae (4.5%; 95% CI: 2.7%–6.3%) were common among survivors of MDR-TB (Akalu et al., 2023). Therefore, more efforts are required to improve outcomes by customizing treatment regimens.

Previously, a MDR-TB regimen containing high-dose INH is recommended by WHO (WHO, 2019). This recommendation is made under the assumption that some mutants (such as inhA) are associated with low-level INH resistance (Dominguez et al., 2023). Due to insufficient efficacy data, high-dose INH was removed from standard treatment recommendations in recent WHO guidance (Organization, 2020). However, high-dose INH is still indicated for children, patients without sufficient choice (due to adverse events, unavailable drug, and drug resistance, etc.), and special mutants (such as inhA, indicating low-level INH resistance) (Dooley et al., 2020; Rivière et al., 2020; Gausi et al., 2021; Dominguez et al., 2023). Interestingly, a study from India showed that the percentage of inhA mutation had an increasing trend during past years (Palani et al., 2022). Moreover, although high-dose INH is thought ineffective for strains with katG mutation, some evidence supported that higher doses of INH may have clinical efficacy, which is explained by the association between katG S315T mutation and intermediate level of INH resistance (Cambau et al., 2015; Lempens et al., 2018).

Although individualized treatment (according to minimum inhibitory concentration [MIC] and genotypic data) has been confirmed to be superior to standardized regimens, the latter remains the recommended therapy for MDR-TB in practice (Abidi et al., 2020; Rivière et al., 2020; Chang et al., 2021). It mainly because MIC and genotypic analysis are not available in many high-burden settings (Allix-Béguec et al., 2018; Davedow et al., 2022), which limits the access of individualized anti-TB treatment. The present study aimed to review current evidence and assess whether high-dose INH-containing therapy resulted in better treatment outcomes than other available regimens among patients diagnosed with MDR-TB. Although some studies have been conducted on WHO-endorsed shorter-course regimen (including high-dose INH) to discuss their benefits and drawbacks, no systematic reviews and meta-analyses have recently been published on this topic. Our study will provide evidence on efficiency and safety of MDR-TB treatment (containing high-dose INH) to inform the way forward to improve the outcomes of MDR-TB.

Methods

Search strategy

We conducted the systematic review and meta-analysis using the updated PRISMA guidelines (Page et al., 2021), and the protocol for this review has been registered in PROSPERO (CRD42023438080).

We searched the following databases for studies published from inception to 20 June 2023: PubMed, Embase, Scopus, Web of Science, CINAHL, the Cochrane Library, and ClinicalTrials.gov. The search terms included high-dose INH and MDR-TB. More details on search strategy were provided in Supplementary Material.

Definitions and outcomes

The high-dose INH means daily dose of INH is > 300 mg/day or >5 mg/kg/day, which is higher than currently recommended (Nahid et al., 2016). Adverse and severe adverse events (SAEs) were recorded as reported in included studies. Our primary outcome was the proportion of treatment success, which is defined as a combination of cured and treatment completion. Secondary outcome included the proportion of adverse events (or SAEs), treatment unsuccess (death, lost-to-follow, and failure), sputum culture conversion at 2 months, 4 months, and 6 months.

Inclusion and exclusion criteria

We included original research that investigated the treatment outcome of MDR-TB patients administrated with anti-TB therapy containing high-dose INH. Among them, at least one of the following outcomes was reported: treatment success (cure, completion), treatment unsuccess (death, failure, loss to follow-up), adverse events, and sputum culture conversion. The exclusion criteria included duplicates, reviews, book chapters, editorials, protocols, comments (or replies), ongoing clinical trials, irrelevant studies, insufficient data (such as lack of treatment outcome), small sample size (<10 cases), non-English literature, and non-peer reviewed articles.

Study selection and data extraction

Briefly, two independent reviewers (ZM, CYL) screened the titles and abstracts for potential eligibility. Subsequently, full texts of eligible articles were retrieved, and eligibility criteria applied. Data extraction was done by two reviewers (ZM, CYL) independently. Any discrepancies between reviewers were resolved through referral to a third independent reviewer (LAM or YXB).

Extracted data included study characteristics (first author, year of publication, study design, district, and study period), patient characteristics (subjects, sample size, age, gender, HIV status, and history of anti-TB therapy), high-dose INH treatment (case number, dosage, duration, and other medications), standard treatment (control group; without INH), and outcomes (n; success, unsuccess, adverse, and sputum culture conversion).

Quality assessment

The Newcastle-Ottawa Scale (NOS) (Stang, 2010) was used to assess the quality of observational studies, it assigns a maximum of 9 points based on three quality parameters: selection, comparability, and outcome, and the bias risk of each study is then rated as high (≤4), medium (5–6), and low (7–9), respectively. The quality of randomized controlled trials (RCTs) was evaluated using Jadad Scale (Clark et al., 1999), which consists of three fields: randomization, double blinding, and withdrawals and dropouts. Jadad scores range from 0 to 7, while trials scoring 4 or greater are considered to have a good quality.

Statistical analysis

All statistical analyses were performed with STATA (Version, 15.0; Stata Corporation, College Station, TX). To evaluate treatment outcomes and adverse events, the estimates and corresponding 95% CIs were calculated depending on the heterogeneity (Q test and I2 statistics). If p < 0.05 or I2 > 50%, the heterogeneity is considered significant and a random-effect model was applied. Otherwise, a fixed-effect model was adopted. In addition, the outcomes stratified by possible influencing factors (such as study design, age, and high-dose INH duration) were also estimated. Relative risk (RR) is calculated by dividing the risk of an outcome (such as treatment success, and adverse events) in the exposed (high-dose INH) group by the risk in the unexposed (control) group. Publication bias was evaluated by Egger’s test. A p-value less than 0.05 was considered statistically significant.

Results

Literature selection

Figure 1 shows the flow chart of literature selection. Overall, 3,749 records were identified through search strategies. Of those, 1972 duplicates and 771 records that did not meet the objective criteria were excluded. After screening the titles and abstracts, 36 studies were assessed for eligibility. Of them, 17 were further excluded for the following reasons: ineligible for inclusion (n = 5; standard- or undefined-dose INH, n = 2; specific indications of INH, n = 2; non-MDR-TB patients, n = 1), no treatment outcome (n = 4), ongoing clinical trials (n = 1), irrelevant study (n = 1), review (n = 2), protocol (n = 1), duplicate data (n = 3). Finally, 19 studies were included for final analysis.

FIGURE 1

Study characteristics

The characteristics of the 19 included studies are summarized in Table 1; Supplementary Table S1. Of the 19 studies, 2 were RCTs, 5 prospective cohort studies, and 12 retrospective cohort studies. Two studies included only children, and others (n = 18) included participants without age restriction. The sample size of included studies ranged from 26 to 1,006, with a total of 20 cohorts (n = 5,103). Of them, 3,728 were exposed to high-dose INH. Usually, high-dose INH was administrated during the intensive phase, except one study. In most studies (n = 17), high-dose INH was administrated for 4–6 months, and 3 studies used at least 6 months. Most studies (n = 12) were single-arm research.

TABLE 1

Study characteristicsPatient characteristicsTreatmentOutcomes
No.Author, yearDistrictStudy designStudy periodSubjectsSample size (n)Age (y; Mean, or Median)Male (n,%)HIV+ (n,%)Previous anti-TB therapy (n,%)Exposed to high-dose INH (n,%)High-dose INH durationControl groupDefinition of outcomesSuccess (n,%)Adverse events (n,%)Culture conversion (n,%)
1Katiyar et al. (2008)IndiaRCT2004.1–2005.12Aged ≥18, Culture+, HIV-, MDR-TB12339.28103, 83.7%0111, 90.2%42, 34.1%>6 montdsYesN/A31, 73.8% (6 m)
2Van Deun et al. (2010)BangladeshPC1997.5–2007.12HIV-, MDR-TB42733.8318, 74.5%0427, 100%206, 48.2%≤6 monthsYesWHO181, 87.86%76, 36.89%
3Piubello et al. (2014)NigerPC2008–2010MDR-TB653153, 81.5%1, 1.7%64, 98.5%65, 100%≤6 monthsNoWHO58, 89.23%41, 63.07%61, 98.38% (4 m); 62, 100% (6 m)
4Trebucq et al. (2018)West and Central AfricaPC2013.1–2015.3Aged ≥18, MDR-TB1,00634667, 66.3%200, 20%872, 86.7%1,006, 100%≤6 monthsNoWHO821, 81.61%897, 89.16%; 107, 10.63% (SAEs)
5Harouna et al. (2019)NigerRC2008.7–2013.9Aged ≥20, MDR-TB1103192, 84%5, 5%N/A110, 100%≤6 monthsNoWHO98, 89.09%75, 68.18%
Aged 1–19, MDR-TB10177, 70%1, 10%10, 100%≤6 monthsNo8, 80%5, 50%
6Walsh et al. (2019)HaitiRC2009.1–2015.12Aged ≥18, HIV-, MDR-TB1872996, 51%0183, 98%99, 53%>6 monthsYesWHO88, 88.88%
7Zhdanova et al. (2021)KyrgyzstanRC2016–2017MDR/RR-TB488N/A283, 58%26, 5%182, 37%132, 27%≤6 monthsYesWHO110, 83.33%62, 46.96% (2 m); 79, 59.84% (4 m); 81, 61.36% (6 m)
8Pirmahmadzoda et al. (2021)TajikistanRC2013.1–2019.7Aged 0–17, MDR/RR-TB6013.620, 33%1, 1.6%10, 17%7, 11.7%≤6 monthsYesWHO7, 100%
9Wahid et al. (2021)PakistanRC2018.1.1–2019.7.31MDR-TB31333.7156, 49.8%N/A219, 70%313, 100%≤6 monthsNoWHO262, 83.7%221, 70.6% (2 m)
10du Cros et al. (2021)UzbekistanPC2013.9.1–2015.3.31MDR/RR-TB12830.161, 47.7%030, 23.4%128, 100%≤6 monthsNoWHO92, 71.87%100, 78.12%; 28, 21.87% (SAEs)
11Trubnikov et al. (2021)UzbekistanRC2018.6–2019.9Aged ≥15, MDR/RR-TB9545.667, 70.5%11, 11.6%49, 51.6%95, 100%≤6 monthsNoWHO63, 66.31%38, 40%; 21, 22.10% (SAEs)
12Mason et al. (2021)Papua New GuineaRC2017.9–2018.9Aged ≥15, RR-TB26N/A15, 58%5, 19%N/A26, 100%≤6 monthsNoWHO10, 38.46%10, 38.46% (SAEs)
13Koirala et al. (2021)NepalRC2018.1–2019.12Aged ≥15, MDR/RR-TB30135216, 71.8%13, 4.3%172, 57.1%301, 47.7%≤6 monthsNoFrance (IUATLD)239, 79.4%46, 15.28% (SAEs)224, 90.68% (2 m); 224, 96.13% (4 m); 214, 97.71% (6 m)
14Abubakar et al. (2022)PakistanRC2010.5.1–2017.6.30XDR-TB35532.99187, 52.7%N/A328, 92.3%35, 9%>6 monthsYesWHO and NTP8, 22.85%
15Soeroto et al. (2022)IndonesiaRC2017.9–2020.12Aged ≥18, MDR-TB315Unsuccessful: 40177, 56.2%0271, 86%315, 100%≤6 monthsNoWHO202, 64.12%197, 62.53% (2 m)
Successful: 18
16Indarti et al. (2022)IndonesiaRC2016–2018Aged ≥18, MDR-TB9948.9769, 69.7%44, 44.4%93, 93.9%65, 65.7%≤6 monthsYesWHO23, 35.38%
17Mleoh et al. (2023)TanzaniaRC2018.1–2020.8MDR-TB382N/A250, 65.4%141, 36.9%159, 41.6%160, 41.9%≤6 monthsYesWHO140, 87.5%53, 33.12%
18Kumari et al. (2023)IndiaPC2018.3–2020.2Aged ≥15, MDR-TB36041268, 74.4%47, 13.1%N/A360, 100%≤6 monthsNoWHO303, 84.16%281, 78.05%
19Nunn et al. (2019)Ethiopia, Mongolia, South Africa, VietnamRCT2012.7–2015.6Aged ≥18, MDR-TB253N/A151, 59.7%85, 34%235, 92.9%253, 100%≤6 monthsNoN/A193, 78.77%136, 48.22% (SAEs)145, 57.31% (2 m); 247, 97.62% (4 m); 252, 99.6% (6 m)

Baseline characteristics of eligible studies.

Abbreviations: RCT: randomized controlled trial; RC: retrospective cohort study; PC: prospective cohort study; MDR: multidrug-resistant; XDR: extensively drug-resistant; RR: rifampin-resistant; TB: tuberculosis; N/A: not available; HIV: human immunodeficiency virus; INH: isoniazid; SAEs: serious adverse events; WHO: world health organization; IUATLD: international union against tuberculosis and lung disease; NTP: National TB, control program.

Quality assessment

The bias risk of included studies was assessed and detailed in Supplementary Tables S2, S3. For cohort studies, the NOS tool was used and the average score was 6.4 (out of 9). We used the Jadad scale to assess the RCTs and the average score was 4 (out of 7). All included studies were considered to have a low risk of bias.

Treatment outcome

For MDR-TB patients, the pooled treatment success rate of anti-TB therapy containing high-dose INH was 76.5% (95% CI: 70.9%–81.8%; I2: 92.03%; Figure 2; Table 2). In addition, no significant publication bias was detected (Egger’s test, p = 0.16). The death and treatment failure were also pooled and estimated at 7.1% (95% CI: 5.3%–9.1%; I2: 73.75%) and 4.9% (95% CI: 2.2%–8.5%; I2: 92.22%), respectively. The rates of culture conversion (at 2-month, 4-month, and 6-month) were 66.9% (95% CI: 51.7%–80.6%; I2: 96.78%; Egger’s test p = 0.53), 91.5 (95% CI: 73.8–99.9; I2: 97.32%; Egger’s test, p = 0.69), and 91.7% (95% CI: 73.7%–100%; I2: 97.43%; Egger’s test, p = 0.5), respectively (Table 2).

FIGURE 2

TABLE 2

Treatment outcomesNumber of cohortsEvents/total (n/N)Proportiona (%, 95% CI)I2 (%)Egger’s test
Treatment success192,906/3,67876.5 (70.9–81.8)92.030.16
Cure101753/2,67860.3 (49.6–70.7)96.200.26
Completion10415/2,67814.9 (6.5–25.7)97.520.5
Treatment unsuccess19752/3,67823.1 (17.6–29)92.760.16
Death16291/3,5377.1 (5.3–9.1)73.750.63
Failure14171/3,2274.9 (2.2–8.5)92.220.23
Loss to follow-up13203/3,0216.8 (3.1–11.5)93.830.32
Culture conversion (2 m)5849/1,26066.9 (51.7–80.6)96.780.53
Culture conversion (4 m)4611/68091.5 (73.8–99.9)97.320.69
Culture conversion (6 m)5640/70891.7 (73.7–100)97.430.5
Adverse events91,566/2,14061.1 (43.0–77.8)98.230.07
Severe adverse events6348/183824.6 (12.3–39.3)97.180.32

Pooled estimates for outcomes of all MDR-TB patients treated with anti-TB therapy containing high-dose INH.

a

Pooled estimates with 95% CI, was assessed using a random-effect model.

Compared with that of control group, the anti-TB therapy containing high-dose INH appears to have favorable outcomes (Supplementary Table S4; all p > 0.05), such as treatment success (79.6% vs. 69.3%), cure (60.4% vs. 57.7%), treatment completion (20.3% vs. 12.4%), treatment unsuccess (20.4% vs. 33.9%), death (4.5% vs. 12.8%), treatment failure (1.0% vs. 6.3%), loss to follow-up (11.7% vs. 17.8%), adverse events (34.6% vs. 44.0%), and sputum culture conversion a 6 months (64.9% vs. 53.5%).

For the management of patients with MDR-TB, the high-dose INH administration is associated with a higher treatment success rate (RR: 1.13, 95% CI: 1.04–1.22; p < 0.01; Figure 3; Table 3) and a lower risk of treatment unsuccess (RR: 0.63, 95% CI: 0.45–0.89; p = 0.01), including death (RR: 0.45, 95% CI: 0.32–0.63; p < 0.01). However, in terms of other outcomes (such as adverse events, and culture conversion rate), no difference were observed between high-dose INH and other treatment options (all p > 0.05; Table 3).

FIGURE 3

TABLE 3

Treatment outcomesNumber of cohorts (n)Case (n; high-dose INH/control groups)Effects model (random)Effects model (fixed)
Risk ratio (95%CI)p-valueI2, %Q testRisk ratio (95%CI)p-valueI2, %Mantel-Haenszel Q
Treatment success101,003/1,2921.13 (1.03–1.23)0.0114.100.311.13 (1.04–1.22)0.0014.300.31
Cure8869/8841.13 (0.99–1.29)0.0630.700.181.13 (1.03–1.25)0.0130.700.18
Completion7663/6631.43 (1.11–1.84)0.000.000.441.41 (1.09–1.81)0.010.000.43
Treatment unsuccess101,003/1,2800.63 (0.45–0.89)0.0174.300.000.62 (0.53–0.73)0.0075.500.00
Death6855/8330.55 (0.36–0.84)0.0123.300.260.45 (0.32–0.63)0.0039.800.14
Failure4535/6110.37 (0.11–1.21)0.1056.500.080.31 (0.16–0.6)0.0059.000.06
Loss to follow-up5649/6120.57 (0.31–1.07)0.0867.500.020.6 (0.44–0.8)0.0068.000.01
Culture conversion (2 m)2264/3561.13 (0.92–1.4)0.220.000.361.13 (0.92–1.4)0.220.000.36
Culture conversion (4 m)2264/3561.12 (0.93–1.34)0.210.000.711.12 (0.93–1.34)0.210.000.70
Culture conversion (6 m)4348/4371.13 (0.97–1.32)0.100.000.641.13 (0.97–1.32)0.100.000.63
Adverse events3526/4430.99 (0.53–1.83)0.9889.200.000.79 (0.67–0.94)0.0189.300.00

Risk ratios of outcomes among high-dose INH versus control groups.

Subgroup analyses

Subgroup analyses (Table 4) were performed, stratified by study design (prospective vs. retrospective), age (children vs. others), sample size (high-dose INH group; cases ≤50 vs. >50 cases), high-dose INH duration (≤6 vs. >6 months), control group (single arm study, yes/no), and definition of outcomes (WHO vs. others). The results of subgroup analyses showed that a large sample size of high-dose INH group (>50) was associated with heterogeneity and had a better treatment outcome (Table 4). Additionally, the single-arm design has a higher incidence of culture conversion at 6-month (Supplementary Table S5). Hence, study design of included studies remains a concern for the quality of our study. In contrast, to limit selection bias, a systematic review for high-dose INH is deserved our efforts.

TABLE 4

VariablesStudy number (n)Events/total (n/N)Treatment success (%, 95% CI)I2 (%)Meta-regression analysis (p-value)
Study design
Prospective cohort study51,455/176583.1 (78.6–87.1)75.360.26
Retrospective cohort study131,258/1,66872.6 (62.7–81.5)93.66
Subjects
Adult/adult and children182,891/3,66175.6 (69.8–80.9)92.830.69
Children215/1791.3 (70.7–100)
Sample size (n, high-dose INH group)
≤50433/7860.3 (24.6–91.3)88.210.023a
>50152,873/3,67079.4 (74.5–83.8)90.84
High-dose isoniazid duration
>6 months296/13474.5 (66.7–81.7)0.40
≤6 months172,810/3,54478.1 (72.8–82.9)90.56
Control group
Yes7557/70474.8 (56.9–89.4)95.470.74
No122,349/2,97477.7 (72.6–82.5)88.15
Definition of outcomes
WHO162,466/3,09778.7 (72.7–84.1)91.420.26
Others3440/58174.4 (69.5–79)

Subgroup analyses for the proportion of treatment success among MDR-TB patients treated with anti-TB therapy containing high-dose INH.

a

Adjusted R-squared = 57.99%.

Adverse events

Among subjects administrated with high-dose INH-containing therapy, the rate of adverse events was pooled at 61.1% (95% CI: 43.0%–77.8%; I2: 98.23%; Egger’s test, p = 0.07; Table 2; Supplementary Table S6). Further analysis showed that the single-arm design contributed to the heterogeneity, and the design leads to a higher incidence of adverse events (Supplementary Table S7; 35.2% vs. 69.3%, p = 0.02). Gastrointestinal symptoms (such as vomiting, abdominal pain, anorexia, constipation, diarrhea, nausea, gastritis) were the most common reported events with a pooled estimate of 51.5% (95% CI: 43.5%–59.3%; I2: 82.49%; Table 5). Besides, ototoxicity, neurotoxicity, cardiotoxicity, hepatotoxicity, nephrotoxicity arthralgia, endocrine disorders, and dermatologic systems were also common and their prevalence were estimated at 20.5% (95% CI: 6.8%–38.5%; I2: 97.53%), 12.4% (95% CI: 5.2%–22.0%; I2: 93.66%), 12.2% (95% CI: 0%–39.1%; I2: 98.87%), 10.8% (95% CI: 6.2%–16.4%; I2: 81.23%), 8.4% (95% CI: 3.3%–15.5%; I2: 90.88%), 7.1% (95% CI: 0.5%–19.0%; I2: 84.72%), and 5.8% (95% CI: 2.5%–10.1%; I2: 57.94%), respectively. The SAEs of therapy containing high-dose INH were reported in 6 studies and its prevalence was estimated at 24.6% (95% CI: 12.3%–39.3%; I2: 97.18%; Table 5). Hepatotoxicity was the most common SAE (42.4%, 95% CI: 13.6%–74%; I2: 92.56%), followed by ototoxicity (29.2%, 95% CI: 9.5%–53.8%; I2: 87.23%), cardiotoxicity (15.6%, 95% CI: 1.5%–38.1%; I2: 87.77%), and electrolyte disturbance (3.0%, 95% CI: 0%–10.2%; I2: 58.32%).

TABLE 5

TypesAdverse eventsSevere adverse events
Number of cohorts (n)Number of events (n)Proportion (%, 95% CI)I2 (%)Number of cohorts (n)Number of events (n)Proportion (%, 95% CI)I2 (%)
Gastrointestinal symptom992051.5 (43.5–59.3)82.4900
Ototoxicity953520.5 (6.8–38.5)97.5335229.2 (9.5–53.8)87.23
Neurotoxicity733112.4 (5.2–22.0)93.6611
Hepatotoxicity751812.2 (0–39.1)98.8736142.4 (13.6–74.0)92.56
Nephrotoxicity519910.8 (6.2–16.4)81.2312
Arthralgia62248.4 (3.3–15.5)90.8800
Endocrine disorders3147.1 (0.5–19)84.7213
Dermatologic symptoms5275.8 (2.5–10.1)57.9412
Cardiotoxicity263.5 (0.8–7.6)34515.6 (1.5–38.1)87.77
Psychiatric disorders472.4 (0.6–4.9)012
Visual impairment462.2 (0.5–4.8)012
Hematological disorders282.0 (0.8–3.8)00
Electrolyte disturbance221.2 (0–3.9)373.0 (0–10.2)58.32
Others24912.5 (9.3–20.0)12

Pooled estimates for the proportion of adverse events among the high-dose INH group, stratified by organ systems.

Discussion

MDR-TB is a serious threat to the effort to control TB (Dean et al., 2022). Its treatment is extremely difficult and a prolonged therapy is required (Migliori et al., 2020). This leads to a poor adherence and significant adverse events (Okethwangu et al., 2019; Lan et al., 2020; Bothamley, 2022). Hence, a shorter and effective treatment regime is very essential. In recent years, a number of new therapeutics aimed at tackling MDR-TB have emerged. In particular, there has been increasing interest in assessing the efficacy of short-course regimens (Dookie et al., 2022). Novel treatment, such as delamanid, bedaquiline, and linezolid, has been introduced for MDR-TB treatment. Data suggests that the treatment success rates of therapies containing delamanid, bedaquiline, low-dose linezolid, and a combination of delamanid and bedaquiline were 80.9% (95% CI: 72.6%–87.2%) (Nasiri et al., 2022), 74.7% (95% CI: 69.8%–79.0%) (Hatami et al., 2022), 91% (Mase et al., 2022) and 75.2% (95% CI: 68.1%–81.1%) (Nasiri et al., 2022), respectively. However, the drug availability, cost, and drug susceptibility testing capacity of these novel regimes remain a concern (Günther et al., 2023; Xu et al., 2023).

In the meta-analysis, we showed that high-dose INH administration was associated with an increased rate of treatment outcome (79.6% vs. 69.3%; RR: 1.13, 95% CI: 1.04–1.22; p < 0.01) and a decreased rate of death (4.5% vs. 12.8%; RR: 0.45, 95% CI: 0.32–0.63; p < 0.01). Regarding the results of other outcomes (such as adverse events), our findings supported that anti-TB therapy containing high-dose INH is superior to standard regimes, although non-significant statistical difference were observed between the two groups. To our knowledge, this is the first meta-analysis of high-dose INH for MDR-TB treatment, which provides confirmed evidence to tailor the MDR-TB treatment guidelines.

In this study, we found that MDR-TB treatment containing high-dose INH achieved good treatment success, with a pooled estimate of 76.5% (95% CI: 70.9%–81.8%). Previously published studies of similar WHO-endorsed shorter-course regimen (including high-dose INH) have reported end-of-treatment success between 80.0% and 83.0%, which is similar to our outcome (Ahmad Khan et al., 2017; Abidi et al., 2020). In addition, data from a South African cohort of INH-resistant TB suggested that high-dose INH administration leads to greater odds of successful outcome, even in those with katG mutations (Jacobson et al., 2011). A previous meta-analysis of childhood MDR-TB demonstrated that high-dose INH was associated with treatment success (adjusted OR: 5.9, 95% CI 1.7%–20.5%; p = 0.007), however, the majority of included patients came from a same site, Cape Town (Harausz et al., 2018b).

In a previous meta-analysis, the proportion of death outcome in individuals with MDR-TB was 14% (Ahmad et al., 2018). This is consistent with our findings, and the pooled death rate of control group was 12.8%. In contrast, fewer patients treated with the high-dose INH experienced death, with a pooled rate of 4.5%. However, a previous meta-analysis demonstrated that patients treated with the shorter regimen experienced more death (shorter 7.6% vs. longer 4.6%) (Abidi et al., 2020), which is in not in line with our findings. This may be explained by that high-dose INH is not necessary in case of the WHO shorter-course recommendation and no restriction is posed on the regimes (shorter or longer duration) in our study.

Among subjects administrated with high-dose INH, the prevalence of adverse events was estimated at 61.1% (95% CI: 43.0%–77.8%), and the major adverse events identified was gastrointestinal symptoms (51.5%, 95% CI: 43.5%–59.3%). However, other adverse effects were not uncommon. It was demonstrated that the percentage of adverse events were not significantly different between high-dose INH and control groups. Additionally, the prevalence of SAEs was estimated at 24.6% (95% CI: 12.3%–39.3%), and hepatotoxicity (42.4%, 95% CI: 13.6%–74%) was the most common SAE. It seems like that administration of high-dose INH could not increase the occurrence of adverse events. This indicates that the high-dose INH is well tolerable without significant SAEs. Similar prevalence (58.9%) of adverse events has been reported for linezolid-containing regimes during MDR-TB treatment (Sotgiu et al., 2012). Although adverse events are common in our study, these events are not mainly associated with high doses of INH. Because hepatotoxicity is known as the most common side effect of INH administration (Tweed et al., 2018; Hamada et al., 2020; Sterling et al., 2020; Melnychuk et al., 2023). Remarkably, considering the distribution of SAEs (mainly hepatotoxicity), the SAE is associated with the administration of INH. Therefore, a caution is required when using high-dose INH. In the future, better data would be needed for further analysis, which optimizes INH dosage strategy to balance favorable outcomes but minimizes risk of SAEs.

Our study has several strengths. First, our finding contributes to the ongoing debate about the effectiveness of the high-dose INH for MDR-TB treatment, which has not been fully addressed. Second, the analysis included a sufficient number of studies (n = 19) and a relatively large sample (5,103 patients), selection and confounding bias will be reduced by aggregated data. Third, the data, from a diversity of settings, has improved the generalizability and precision of the findings. Fourth, although increasing the drug dosage could lead to an increase in costs, it has substantial benefits for MDR-TB patients. Increasing the dose may even be less expensive in the long term, as more patients will have adequate exposure to the drug, resulting in more treatment success, fewer death, and acceptable SAEs. Lastly, this study is cost-saving, if such study is undertaken prospectively, the cost will be too great.

Although our study updated evidence on INH efficacy, there are also some limitations to this study. First, although treatment effect was estimated for high-dose INH-containing therapy, the analysis could not isolate the benefit of a single drug. Confounding variables may be present, and the finding should be interpreted with caution. Second, there was a high proportion of retrospective studies (n = 12). This increases the likelihood of reporting and selection bias. Third, there was significant clinical heterogeneity among the included studies, the heterogeneity was associated with study design. Hence, inferences should be made with caution. Fourth, owing to limited clinical data, it is challenging to assess the impact of clinical characteristics such as INH dosage, INH duration, and dose-response relationship of SAEs. Fifth, it does not evaluate adherence to treatment regimens containing high-dose INH, an important outcome determinant. At last, the existing evidence suggests that high-dose INH is effective in the presence of the inhA gene mutation and in absence of the katG mutation (Wasserman and Furin, 2020). Therefore, if the indication for INH resistance is introduced for the high-dose INH use, a better outcome would be archived.

Conclusion

Our finding supports an excellent efficacy in the prescription of high-dose INH for treatment of MDR-TB, and high-dose INH administration is associated with a favorable outcome and acceptable adverse-event profile. In addition, a shorter INH-containing regime (less than 6 months) seems to be satisfactory, as it has a short duration while not compromising efficacy. However, further data are needed to analyze the impact of higher doses of INH on longer-term outcomes, such as disease relapse, as well as to investigate its role for specific subpopulations, such as patients with HIV (+) or inhA mutants.

Statements

Data availability statement

The original contributions presented in the study are included in the article/Supplementary Material, further inquiries can be directed to the corresponding authors.

Author contributions

MZ: Writing–review and editing, Data curation. A-ML: Validation, Writing–review and editing. X-BY: Writing–review and editing, Validation. C-PG: Writing–review and editing, Data curation. Y-AZ: Writing–original draft. M-SW: Writing–original draft. Y-LC: Data curation, Writing–review and editing.

Funding

The author(s) declare financial support was received for the research, authorship, and/or publication of this article. The study was supported by the Science and Technology of Guangxi Zhuang Autonomous Region (No. AA22096027) and Taishan Scholar Project of Shandong Province (No. tsqn202211358). This study is marked as the third one of Shandong Tuberculosis Elimination Project (STEP-3).

Conflict of interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/fphar.2023.1331371/full#supplementary-material

Abbreviations

TB, Tuberculosis; WHO, World Health Organization; MDR-TB, multidrug-resistant tuberculosis; INH, isoniazid; CI, Confidence interval; MIC, minimum inhibitory concentration; SAE, adverse and severe adverse event; NOS, Newcastle-Ottawa Scale; RCT, randomized controlled trial; RR, relative risk.

References

  • 1

    AbidiS.AcharJ.Assao NeinoM. M.BangD.BenedettiA.BrodeS.et al (2020). Standardised shorter regimens versus individualised longer regimens for rifampin- or multidrug-resistant tuberculosis. Eur. Respir. J.55, 1901467. 10.1183/13993003.01467-2019

  • 2

    AbubakarM.AhmadN.AtifM.AhmadI.WahidA.KhanA.et al (2022). Prognostic accuracy of time to sputum culture conversion in predicting cure in extensively drug-resistant tuberculosis patients: a multicentre retrospective observational study. BMC Infect. Dis.22, 204. 10.1186/s12879-022-07202-y

  • 3

    AhmadN.AhujaS. D.AkkermanO. W.AlffenaarJ. W. C.AndersonL. F.BaghaeiP.et al (2018). Treatment correlates of successful outcomes in pulmonary multidrug-resistant tuberculosis: an individual patient data meta-analysis. Lancet392, 821834. 10.1016/S0140-6736(18)31644-1

  • 4

    Ahmad KhanF.SalimM. A. H.du CrosP.CasasE. C.KhamraevA.SikhondzeW.et al (2017). Effectiveness and safety of standardised shorter regimens for multidrug-resistant tuberculosis: individual patient data and aggregate data meta-analyses. Eur. Respir. J.50, 1700061. 10.1183/13993003.00061-2017

  • 5

    AkaluT. Y.ClementsA. C. A.WoldeH. F.AleneK. A. (2023). Prevalence of long-term physical sequelae among patients treated with multi-drug and extensively drug-resistant tuberculosis: a systematic review and meta-analysis. EClinicalMedicine57, 101900. 10.1016/j.eclinm.2023.101900

  • 6

    Allix-BéguecC.ArandjelovicI.BiL.BeckertP.BonnetM.BradleyP.et al (2018). Prediction of susceptibility to first-line tuberculosis drugs by DNA sequencing. N. Engl. J. Med.379, 14031415. 10.1056/NEJMoa1800474

  • 7

    BagcchiS. (2023). WHO's global tuberculosis report 2022. Lancet Microbe4, e20. 10.1016/S2666-5247(22)00359-7

  • 8

    BastosM. L.LanZ.MenziesD. (2017). An updated systematic review and meta-analysis for treatment of multidrug-resistant tuberculosis. Eur. Respir. J.49, 1600803. 10.1183/13993003.00803-2016

  • 9

    BothamleyG. H. (2022). Multidrug-resistant tuberculosis: diagnosis, checklists, adverse events, advice and outcomes. ERJ Open Res.8, 00512-2022. 10.1183/23120541.00512-2022

  • 10

    CambauE.ViveirosM.MachadoD.RaskineL.RitterC.TortoliE.et al (2015). Revisiting susceptibility testing in MDR-TB by a standardized quantitative phenotypic assessment in a European multicentre study. J. Antimicrob. Chemother.70, 686696. 10.1093/jac/dku438

  • 11

    ChangV.LingR.VelenK.FoxG. (2021). Individualised treatment for multidrug-resistant tuberculosis in new South wales, Australia. Aust. N. Z. J. Public Health45, 437442. 10.1111/1753-6405.13144

  • 12

    ClarkH. D.WellsG. A.HuetC.McAlisterF. A.SalmiL. R.FergussonD.et al (1999). Assessing the quality of randomized trials: reliability of the Jadad scale. Control Clin. Trials20, 448452. 10.1016/s0197-2456(99)00026-4

  • 13

    DavedowT.CarletonH.KubotaK.PalmD.SchroederM.Gerner-SmidtP.et al (2022). PulseNet international survey on the implementation of whole genome sequencing in low and middle-income countries for foodborne disease surveillance. Foodborne Pathog. Dis.19, 332340. 10.1089/fpd.2021.0110

  • 14

    DeanA. S.Tosas AuguetO.GlaziouP.ZignolM.IsmailN.KasaevaT.et al (2022). 25 years of surveillance of drug-resistant tuberculosis: achievements, challenges, and way forward. Lancet Infect. Dis.22, e191e196. 10.1016/S1473-3099(21)00808-2

  • 15

    DominguezJ.BoereeM. J.CambauE.ChesovD.ConradieF.CoxV.et al (2023). Clinical implications of molecular drug resistance testing for Mycobacterium tuberculosis: a 2023 TBnet/RESIST-TB consensus statement. Lancet Infect. Dis.23, e122e137. 10.1016/S1473-3099(22)00875-1

  • 16

    DookieN.NgemaS. L.PerumalR.NaickerN.PadayatchiN.NaidooK. (2022). The changing paradigm of drug-resistant tuberculosis treatment: successes, pitfalls, and future perspectives. Clin. Microbiol. Rev.35, e0018019. 10.1128/cmr.00180-19

  • 17

    DooleyK. E.MiyaharaS.von Groote-BidlingmaierF.SunX.HafnerR.RosenkranzS. L.et al (2020). Early bactericidal activity of different isoniazid doses for drug-resistant tuberculosis (INHindsight): a randomized, open-label clinical trial. Am. J. Respir. Crit. Care Med.201, 14161424. 10.1164/rccm.201910-1960OC

  • 18

    du CrosP.KhamraevA.TigayZ.AbdrasulievT.GreigJ.CookeG.et al (2021). Outcomes with a shorter multidrug-resistant tuberculosis regimen from Karakalpakstan, Uzbekistan. ERJ Open Res.7, 00537-2020. 10.1183/23120541.00537-2020

  • 19

    GausiK.IgnatiusE. H.SunX.KimS.MoranL.WiesnerL.et al (2021). A semimechanistic model of the bactericidal activity of high-dose isoniazid against multidrug-resistant tuberculosis: results from a randomized clinical trial. Am. J. Respir. Crit. Care Med.204, 13271335. 10.1164/rccm.202103-0534OC

  • 20

    Global Tuberculosis Report (2023). Geneva: World health organization 2023. Available at: https://www.who.int/teams/global-tuberculosis-programme/tb-reports/global-tuberculosis-report-2023.

  • 21

    GüntherG.GuglielmettiL.LeuC.LangeC.van LethF.Tuberculosis Network European Trials group (2023). Availability and costs of medicines for the treatment of tuberculosis in Europe. Clin. Microbiol. Infect.29, 7784. 10.1016/j.cmi.2022.07.026

  • 22

    HamadaY.FigueroaC.Martín-SánchezM.FalzonD.KancharA. (2020). The safety of isoniazid tuberculosis preventive treatment in pregnant and postpartum women: systematic review and meta-analysis. Eur. Respir. J.55, 1901967. 10.1183/13993003.01967-2019

  • 23

    HarauszE. P.Garcia-PratsA. J.LawS.SchaafH. S.KredoT.SeddonJ. A.et al (2018a). Treatment and outcomes in children with multidrug-resistant tuberculosis: a systematic review and individual patient data meta-analysis. PLoS Med.15, e1002591. 10.1371/journal.pmed.1002591

  • 24

    HarauszE. P.Garcia-PratsA. J.LawS.SchaafH. S.KredoT.SeddonJ. A.et al (2018b). Treatment and outcomes in children with multidrug-resistant tuberculosis: a systematic review and individual patient data meta-analysis. PLoS Med.15, e1002591. 10.1371/journal.pmed.1002591

  • 25

    HarounaS. H.Ortuno-GutierrezN.SouleymaneM. B.KizitoW.MorouS.BoukaryI.et al (2019). Short-course treatment outcomes and adverse events in adults and children-adolescents with MDR-TB in Niger. Int. J. Tuberc. Lung Dis.23, 625630. 10.5588/ijtld.17.0871

  • 26

    HatamiH.SotgiuG.BostanghadiriN.AbadiS. S. D.MesgarpourB.GoudarziH.et al (2022). Bedaquiline-containing regimens and multidrug-resistant tuberculosis: a systematic review and meta-analysis. J. Bras. Pneumol.48, e20210384. 10.36416/1806-3756/e20210384

  • 27

    IndartiH. T.KristinE.SoedarsonoS.EndartiD. (2022). Treatment outcomes of multidrug-resistant tuberculosis patients in east java, Indonesia: a retrospective cohort analysis. Int. J. Mycobacteriol11, 261267. 10.4103/ijmy.ijmy_86_22

  • 28

    JacobsonK. R.TheronD.VictorT. C.StreicherE. M.WarrenR. M.MurrayM. B. (2011). Treatment outcomes of isoniazid-resistant tuberculosis patients, Western Cape Province, South Africa. Clin. Infect. Dis.53, 369372. 10.1093/cid/cir406

  • 29

    KatiyarS. K.BihariS.PrakashS.MamtaniM.KulkarniH. (2008). A randomised controlled trial of high-dose isoniazid adjuvant therapy for multidrug-resistant tuberculosis. Int. J. Tuberc. Lung Dis.12, 139145.

  • 30

    KoiralaS.ShahN. P.PyakurelP.KhanalM.RajbhandariS. K.PunT.et al (2021). High success and low recurrence with shorter treatment regimen for multidrug-resistant TB in Nepal. Public Health Action11, 3845. 10.5588/pha.21.0041

  • 31

    KumariS. L.KongaraS.BhaskarK.SrikantiR.Bhushana RaoC. R. N.SanjanaP. H. (2023). Outcomes and adherence of shorter MDR TB regimen in patients with multidrug resistant tuberculosis. Indian J. Tuberc.70, 103106. 10.1016/j.ijtb.2022.03.021

  • 32

    LanZ.AhmadN.BaghaeiP.BarkaneL.BenedettiA.BrodeS. K.et al (2020). Drug-associated adverse events in the treatment of multidrug-resistant tuberculosis: an individual patient data meta-analysis. Lancet Respir. Med.8, 383394. 10.1016/S2213-2600(20)30047-3

  • 33

    LempensP.MeehanC. J.VandelannooteK.FissetteK.de RijkP.Van DeunA.et al (2018). Isoniazid resistance levels of Mycobacterium tuberculosis can largely be predicted by high-confidence resistance-conferring mutations. Sci. Rep.8, 3246. 10.1038/s41598-018-21378-x

  • 34

    MaseA.LowenthalP.TrueL.HenryL.BarryP.FloodJ. (2022). Low-dose linezolid for treatment of patients with multidrug-resistant tuberculosis. Open Forum Infect. Dis.9, ofac500. 10.1093/ofid/ofac500

  • 35

    MasonC. Y.PrietoA.BogatiH.SanninoL.AkaiN.MarquardtT. (2021). Adverse events using shorter MDR-TB regimens: outcomes from Port Moresby, Papua New Guinea. Public Health Action11, 24. 10.5588/pha.20.0026

  • 36

    MelnychukL.Perlman-ArrowS.Lisboa BastosM.MenziesD. (2023). A systematic review and meta-analysis of tuberculous preventative therapy adverse events. Clin. Infect. Dis.77, 287294. 10.1093/cid/ciad246

  • 37

    MiglioriG. B.TiberiS.ZumlaA.PetersenE.ChakayaJ. M.WejseC.et al (2020). MDR/XDR-TB management of patients and contacts: challenges facing the new decade. The 2020 clinical update by the Global Tuberculosis Network. Int. J. Infect. Dis.92s, S15s25. 10.1016/j.ijid.2020.01.042

  • 38

    MleohL.MzirayS. R.TsereD.KoppelaarI.MulderC.LyakurwaD. (2023). Shorter regimens improved treatment outcomes of multidrug-resistant tuberculosis patients in Tanzania in 2018 cohort. Trop. Med. Int. Health28, 357366. 10.1111/tmi.13867

  • 39

    NahidP.DormanS. E.AlipanahN.BarryP. M.BrozekJ. L.CattamanchiA.et al (2016). Official American thoracic society/centers for disease control and prevention/infectious diseases society of America clinical practice guidelines: treatment of drug-susceptible tuberculosis. Clin. Infect. Dis.63, e147e195. 10.1093/cid/ciw376

  • 40

    NasiriM. J.ZangiabadianM.ArabpourE.AminiS.KhaliliF.CentisR.et al (2022). Delamanid-containing regimens and multidrug-resistant tuberculosis: a systematic review and meta-analysis. Int. J. Infect. Dis.124 (Suppl. 1), S90S103. 10.1016/j.ijid.2022.02.043

  • 41

    NunnA. J.PhillipsP. P. J.MeredithS. K.ChiangC. Y.ConradieF.DalaiD.et al (2019). A trial of a shorter regimen for rifampin-resistant tuberculosis. N. Engl. J. Med.380, 12011213. 10.1056/NEJMoa1811867

  • 42

    OkethwanguD.BirungiD.BiribawaC.KwesigaB.TuryahabweS.ArioA. R.et al (2019). Multidrug-resistant tuberculosis outbreak associated with poor treatment adherence and delayed treatment: arua District, Uganda, 2013-2017. BMC Infect. Dis.19, 387. 10.1186/s12879-019-4014-3

  • 43

    OrganizationW. H. (2020). WHO consolidated guidelines on tuberculosis. Module 4: treatment-drug-resistant tuberculosis treatment. Geneva: World Health Organization.

  • 44

    PageM. J.McKenzieJ. E.BossuytP. M.BoutronI.HoffmannT. C.MulrowC. D.et al (2021). The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ372, n71. 10.1136/bmj.n71

  • 45

    PalaniN.PremkumarM.VaishnaveeV.DineshV.ThiruvengadamK.LavanyaJ.et al (2022). Trends in rifampicin and isoniazid resistance in patients with presumptive TB. Int. J. Tuberc. Lung Dis.26, 446453. 10.5588/ijtld.21.0455

  • 46

    PatraK.BatabyalS.MandalK.GhoseD.SarkarJ. (2022). Tuberculosis and COVID-19: a combined global threat to human civilization. Clin. Epidemiol. Glob. Health15, 101031. 10.1016/j.cegh.2022.101031

  • 47

    PirmahmadzodaB.HannK.AkopyanK.GrigoryanR.GeliukhE.HushvahtS.et al (2021). Treatment success using novel and adapted treatment regimens in registered DR-TB children in Dushanbe, Tajikistan, 2013-2019. J. Infect. Dev. Ctries.15, 7S16S. 10.3855/jidc.14798

  • 48

    PiubelloA.HarounaS. H.SouleymaneM. B.BoukaryI.MorouS.DaoudaM.et al (2014). High cure rate with standardised short-course multidrug-resistant tuberculosis treatment in Niger: no relapses. Int. J. Tuberc. Lung Dis.18, 11881194. 10.5588/ijtld.13.0075

  • 49

    RivièreE.WhitfieldM. G.NelenJ.HeupinkT. H.Van RieA. (2020). Identifying isoniazid resistance markers to guide inclusion of high-dose isoniazid in tuberculosis treatment regimens. Clin. Microbiol. Infect.26, 13321337. 10.1016/j.cmi.2020.07.004

  • 50

    SoerotoA. Y.NurhayatiR. D.PurwigaA.LestariB. W.PratiwiC.SantosoP.et al (2022). Factors associated with treatment outcome of MDR/RR-TB patients treated with shorter injectable based regimen in West Java Indonesia. PLoS One17, e0263304. 10.1371/journal.pone.0263304

  • 51

    SotgiuG.CentisR.D'AmbrosioL.AlffenaarJ. W. C.AngerH. A.CamineroJ. A.et al (2012). Efficacy, safety and tolerability of linezolid containing regimens in treating MDR-TB and XDR-TB: systematic review and meta-analysis. Eur. Respir. J.40, 14301442. 10.1183/09031936.00022912

  • 52

    StangA. (2010). Critical evaluation of the Newcastle-Ottawa scale for the assessment of the quality of nonrandomized studies in meta-analyses. Eur. J. Epidemiol.25, 603605. 10.1007/s10654-010-9491-z

  • 53

    SterlingT. R.NjieG.ZennerD.CohnD. L.RevesR.AhmedA.et al (2020). Guidelines for the treatment of latent tuberculosis infection: recommendations from the national tuberculosis controllers association and CDC. MMWR Recomm. Rep.69, 111. 10.15585/mmwr.rr6901a1

  • 54

    TrebucqA.SchwoebelV.KashongweZ.BakayokoA.KuabanC.NoeskeJ.et al (2018). Treatment outcome with a short multidrug-resistant tuberculosis regimen in nine African countries. Int. J. Tuberc. Lung Dis.22, 1725. 10.5588/ijtld.17.0498

  • 55

    TrubnikovA.HovhannesyanA.AkopyanK.CiobanuA.SadirovaD.KalandarovaL.et al (2021). Effectiveness and safety of a shorter treatment regimen in a setting with a high burden of multidrug-resistant tuberculosis. Int. J. Environ. Res. Public Health18, 4121. 10.3390/ijerph18084121

  • 56

    TweedC. D.WillsG. H.CrookA. M.DawsonR.DiaconA. H.LouwC. E.et al (2018). Liver toxicity associated with tuberculosis chemotherapy in the REMoxTB study. BMC Med.16, 46. 10.1186/s12916-018-1033-7

  • 57

    Van DeunA.MaugA. K.SalimM. A.DasP. K.SarkerM. R.DaruP.et al (2010). Short, highly effective, and inexpensive standardized treatment of multidrug-resistant tuberculosis. Am. J. Respir. Crit. Care Med.182, 684692. 10.1164/rccm.201001-0077OC

  • 58

    WahidA.AhmadN.GhafoorA.LatifA.SaleemF.KhanS.et al (2021). Effectiveness of shorter treatment regimen in multidrug-resistant tuberculosis patients in Pakistan: a multicenter retrospective record review. Am. J. Trop. Med. Hyg.104, 17841791. 10.4269/ajtmh.20-1134

  • 59

    WalshK. F.VilbrunS. C.SouroutzidisA.DelvaS.JoissaintG.MathurinL.et al (2019). Improved outcomes with high-dose isoniazid in multidrug-resistant tuberculosis treatment in Haiti. Clin. Infect. Dis.69, 717719. 10.1093/cid/ciz039

  • 60

    WassermanS.FurinJ. (2020). Clarity with INHindsight: high-dose isoniazid for drug-resistant tuberculosis with inhA mutations. Am. J. Respir. Crit. Care Med.201, 13311333. 10.1164/rccm.202002-0264ED

  • 61

    WHO (2019). WHO consolidated guidelines on drug-resistant tuberculosis treatment. Geneva: World Health Organization. [Table], Dosing of medicines used in second-line MDR-TB regimens by weight band in patients under 15 yearsa. Available at: https://www.ncbi.nlm.nih.gov/books/NBK539514/table/annex2.tab2/.

  • 62

    XuC. H.QiuY. P.HeZ. L.HuD. M.YueX.ChenZ. D.et al (2023). Cost-effectiveness analysis of combined chemotherapy regimen containing bedaquiline in the treatment of multidrug-resistant tuberculosis in China. Biomed. Environ. Sci.36, 501509. 10.3967/bes2023.061

  • 63

    ZhdanovaE.GoncharovaO.DavtyanH.AlaverdyanS.SargsyanA.HarriesA. D.et al (2021). 9-12 months short treatment for patients with MDR-TB increases treatment success in Kyrgyzstan. J. Infect. Dev. Ctries.15, 66S74S. 10.3855/jidc.13757

Summary

Keywords

high dose, isoniazid, treatment success, death, MDR-TB

Citation

Zhou M, Liu A-M, Yang X-B, Guan C-P, Zhang Y-A, Wang M-S and Chen Y-L (2024) The efficacy and safety of high-dose isoniazid-containing therapy for multidrug-resistant tuberculosis: a systematic review and meta-analysis. Front. Pharmacol. 14:1331371. doi: 10.3389/fphar.2023.1331371

Received

01 November 2023

Accepted

19 December 2023

Published

08 January 2024

Volume

14 - 2023

Edited by

Karunakaran Kalesh, Teesside University, United Kingdom

Reviewed by

Maria Bogdan, University of Medicine and Pharmacy of Craiova, Romania

Felix Khuluza, Kamuzu University of Health Sciences (Formerly College of Medicine-University of Malawi), Malawi

Updates

Copyright

*Correspondence: Ya-Li Chen, ; Mao-Shui Wang,

†These authors have contributed equally to this work

Disclaimer

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article or claim that may be made by its manufacturer is not guaranteed or endorsed by the publisher.

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