Literature DB >> 34764183

Protective efficacy of 6-week regimen for latent tuberculosis infection treatment in rural China: 5-year follow-up of a randomised controlled trial.

Henan Xin1,2, Xuefang Cao1,2, Haoran Zhang1,2, Boxuan Feng1, Ying Du1, Bin Zhang3, Dakuan Wang3, Zisen Liu3, Ling Guan4, Fei Shen4, Xueling Guan4, Jiaoxia Yan3, Yijun He1, Yongpeng He1, Zhusheng Quan1, Shouguo Pan3, Jianmin Liu4, Qi Jin1, Lei Gao5.   

Abstract

BACKGROUND: Enlarging tuberculosis (TB) preventive treatment among at-risk populations is a critical component of the End TB Strategy. There is an urgent need to develop suitable latent tuberculosis infection (LTBI) testing and treatment tools according to the local TB epidemic and available resources worldwide.
METHODS: Based on an open-label randomised controlled trial conducted since 2015 in China among rural residents aged 50-70 years with LTBI, the protective efficacy of a 6-week twice-weekly regimen of rifapentine plus isoniazid was further evaluated in a 5-year follow-up survey.
RESULTS: 1298 treated participants and 1151 untreated controls were included in the 5-year protective efficacy analysis. In the per-protocol analysis, the incidence rate was 0.49 (95% CI 0.30-0.67) per 100 person-years in the untreated control group and 0.19 (95% CI 0.07-0.32) per 100 person-years in the treated group; the protection rate was 61.22%. Subgroup analysis showed that the protection rate was 76.82% in the per-protocol analysis among participants with baseline interferon (IFN)-γ levels in the highest quartile (≥3.25 IU·mL-1). Multiple logistic regression analysis indicated that participants with baseline body mass index <18.5 kg·m-2 and with pulmonary fibrotic lesions had increased hazard of developing active disease with an adjusted hazard ratio (aHR) of 3.64 (95% CI 1.20-11.00) and 5.99 (95% CI 2.20-16.27), respectively. In addition, individuals with higher baseline IFN-γ levels showed an increased risk of TB occurrence (aHR 2.27, 95% CI 1.13-4.58).
CONCLUSIONS: Our findings suggest the 6-week twice-weekly regimen of rifapentine plus isoniazid for LTBI treatment might be an optional tool for TB control in the Chinese population.
Copyright ©The authors 2022.

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Year:  2022        PMID: 34764183      PMCID: PMC9260122          DOI: 10.1183/13993003.02359-2021

Source DB:  PubMed          Journal:  Eur Respir J        ISSN: 0903-1936            Impact factor:   33.795


Introduction

It is estimated that about a quarter of the world's population is infected with Mycobacterium tuberculosis [1]. On average, 5–10% of those infected might develop active tuberculosis (TB) over the course of their lives, usually within the first 2 years after initial infection [2]. Comprehensive control strategies had been implemented to control the seedbeds of TB. Among them, TB preventive treatment was reported to reduce the risk of active TB development with an efficacy ranging from 60% to 90% [3]. Based on this, implementation of preventive treatment among individuals with latent tuberculosis infection (LTBI) under high risk of developing active disease has been recommended by the World Health Organization (WHO) as one of critical components of the End TB Strategy [4-6]. Currently, TB preventive treatment options can be broadly categorised into two types: monotherapy with isoniazid for at least 6 months or treatment with regimens containing isoniazid and a rifamycin (rifampicin or rifapentine). Isoniazid given for 6–9 months has been the preferred treatment regimen due to its low cost and proven efficacy. However, in consideration of the feasibility, resource requirements and acceptability to the treatment targets, short-course regimens with better tolerance and higher completion rates have been explored in the past decades. The 3-month weekly isoniazid plus rifapentine (3HP) regimen has been widely practised in several populations [7, 8]. At present, a 1-month regimen of rifapentine plus isoniazid (1HP) has been recommended for HIV infections by the WHO in the latest guidelines due to its equal protective efficacy and higher completion rate to 9 months compared with isoniazid alone [9, 10]. China is a country with a high burden for both TB and LTBI, and there is an urgent need to establish flexible preventive treatment policies to protect individuals at high risk of M. tuberculosis infection and active disease development [11, 12]. However, regimens suitable for the Chinese population based on domestic medicine have not been developed and evaluated in China through randomised controlled trials (RCTs). To explore short-course regimens for at-risk middle aged and elderly with LTBI in rural China, we conducted an open-label, pragmatic RCT in 2015. We initially wanted to evaluate two regimens, i.e. the WHO recommended 3HP and an innovative 2-month twice-weekly rifapentine plus isoniazid (2H2P2) regimen; however, the regimens were both modified due to an unexpected high frequency of side-effects simultaneously. Fortunately, the modified innovative 6-week twice-weekly regimen obtained good protective efficacy at the 2-year follow-up survey [13]. Nevertheless, since new infections are still common in rural areas in China, one of the biggest concerns about the implementation of LTBI treatment lies in re-infection, which would definitely influence the protective efficacy and shorten the protection period [14]. Thus, the aim of the present study was to further evaluate the 5-year protective efficacy of the innovative short-course regimen and to provide comprehensive estimation of the application of LTBI treatment in China and areas with similar situations.

Methods

Study design

This study was 5-year follow-up of an original open-label, pragmatic RCT aiming to explore the protective efficacy of short-course LTBI treatment regimens for at-risk middle aged and elderly in rural China. Detailed information of the original trial has been reported elsewhere [13]. Briefly, all participants aged 50–70 years with a QuantiFERON-TB Gold In-Tube (“QFT-GIT”; Qiagen, Germantown, MD, USA) positive result (a cut-off value of ≥0.35 IU·mL−1 was used as recommended by the manufacturer) and without current active TB at the baseline survey were included in the study. After randomisation, eligible participants were classified into three groups: group A (1284 for treatment with the 3HP regimen), group B (1299 for treatment with an innovative 2H2P2 regimen) and group C (1155 as untreated controls). Before the intervention, we pre-set early termination criteria based on the existing evidence for the 3HP regimen when the occurrence of hepatotoxicity (defined by aspartate transaminase/alanine transaminase >3× upper limit of normal (ULN) with symptoms or >5× ULN) was >1% [7]. The fact was that both regimens were terminated in advance during implementation (3HP was modified to 8 weeks and 2H2P2 was modified to 6 weeks). Thus, the protection rate of the modified regimens was evaluated and found to be 37% for the 8-week once-weekly regimen and 69% for the 6-week twice-weekly regimen at the 2-year follow-up investigation. Based on the results of the 2-year follow-up survey, the present study aimed to explore the long-term protection rate of the 6-week twice-weekly regimen at the 5-year follow-up investigation. The 8-week once-weekly regimen was dropped in this study due to its limited protective effect observed in the 2-year follow-up. All participants included in the study signed informed consent. The Ethics Committees of the Institute of Pathogen Biology and the Chinese Academy of Medical Sciences (Beijing, China) approved the study protocol (IPB-2015-5, IPB-2016-8 and IPB-2019-11).

Follow-up examinations and end-points

Between 2018 and 2020, follow-ups were carried out quarterly by trained interviewers through door-to-door or telephone survey for active case finding based on suspected symptoms screening. At the 5-year follow-up, between November and December 2020, participants were invited for a closing survey with investigation of suspected symptoms and digital chest radiography. All participants in the cohorts were scheduled to be seen for a 5-year closing visit unless they migrated out of the area, refused to be followed-up or died. All participants suspected of having TB because of clinical symptoms or radiographic abnormalities were referred for diagnosis according to the national guidelines. In addition, the national Tuberculosis Information Management System was also screened to find potential registered patients among our study participants. The primary study end-points were microbiologically confirmed active pulmonary TB or clinically determined pulmonary TB. Individuals with positive results by sputum smear, culture and/or GeneXpert MTB/RIF assay (Cepheid, Sunnyvale, CA, USA) were considered as microbiologically confirmed active TB. Response to empiric TB treatment among participants suspected as having TB but negative to microbiological tests was evaluated for a diagnosis of clinical TB by consensus from a panel of experts consisting of four radiologists, two clinical experts and one laboratory expert. TB diagnosis was made by the expert panel blinded to treatment assignment. The additional secondary end-point was death from any cause.

Statistical analysis

The frequencies of categorical variables in the study participants were compared between the groups using Pearson's Chi-squared test. The Kruskal–Wallis test was performed to assess differences in continuous variables. Distributions of baseline interferon (IFN)-γ levels were presented and compared using Wilcoxon rank sum tests. The incidence rates of active TB were assessed during 5 years after the completion of therapy. For those with relapse TB during follow-up, only the first diagnostic information was used. The time duration for each participant involved in the study was calculated based on the quarterly follow-up records. The intention-to-treat analysis included all enrolled eligible subjects in each group. The per-protocol analysis included all eligible enrolled subjects who completed the assigned study regimen (defined as completed ≥90% doses of modified therapy). In a subgroup analysis, all of the participants in each group were classified by the highest quartile of baseline IFN-γ levels. Subjects with missing data for baseline IFN-γ levels were excluded in the subgroup analysis. To identify potential variables related to active TB risk, Cox proportional hazards regression models were fitted to estimate adjusted hazard ratio (aHR) with 95% confidence interval. The other variables with p<0.05 (age, body mass index (BMI), baseline IFN-γ and presence of pulmonary fibrotic lesions) in the univariate model were also entered into the multivariable models. Statistical analyses were performed using SAS version 9.4 (SAS Institute, Cary, NC, USA) and Kaplan–Meier curve analysis was performed using Prism version 9 (GraphPad, San Diego, CA, USA).

Results

Characteristics of the study participants

As shown in figure 1, a total of 1299 participants accepted treatment of the 6-week regimen and 1155 untreated controls were included in the original RCT. Among them, 938 (72.20%) and 829 (71.77%) completed the 5-year follow-up survey, respectively. Five participants were excluded because of self-reported preventive treatment after intervention performed by the study. Finally, a total of 1298 treated participants and 1151 untreated controls were included in the 5-year protective efficacy analysis. Table 1 shows the clinical and demographic characteristics of the population. Roughly, half of the treated and untreated participants were males. No significant difference was found between the two groups with respect to age, BMI, history of silicosis, smoking and alcohol drinking. Untreated participants showed a trend with a higher proportion of pulmonary fibrotic lesions found by chest radiography (p=0.015) and diabetes based on fasting blood glucose >7 mmol·L−1 (p=0.046) than treated participants.
FIGURE 1

Flowchart of study participant intervention and follow-up. 1299 participants accepted treatment of the 6-week regimen and 1155 untreated controls were included in the original randomised controlled trial. 83.37% (2046 out of 2454) and 72.00% (1767 out of 2454) of the subjects completed the 2- and 5-year follow-up surveys, respectively. Five subjects (one in the treated group and four in the untreated control group) were excluded because of self-reported preventive treatment after intervention performed by the study. 1298 treated participants and 1151 untreated controls were included in the 5-year protective efficacy analysis.

TABLE 1

Characteristics of the study participants included in the intention-to-treat analysis

Treated group# (n=1298) Untreated control group (n=1151) p-value
Age (years)
 50–55317 (24.42)264 (22.94)0.637
 56–60343 (26.43)295 (25.63)
 61–65333 (25.65)299 (25.98)
 66–70305 (23.50)293 (25.46)
Gender
 Female590 (45.45)512 (44.48)0.630
 Male708 (54.55)639 (55.52)
BMI (kg·m−2)
 <18.5542 (41.76)471 (40.92)0.755
 18.5– <2430 (2.31)22 (1.91)
 24– <28493 (37.98)458 (39.79)
 ≥28233 (17.95)200 (17.38)
Smoking
 Never-smoker765 (58.94)691 (60.03)0.581
 Ever-smoker533 (41.06)460 (39.97)
Presence of TB history
 No1284 (98.92)1124 (97.65)0.015*
 Yes14 (1.08)27 (2.35)
Alcohol drinking
 No901 (69.41)810 (70.37)0.606
 Yes397 (30.59)341 (29.63)
Fasting blood glucose (mmol·L−1)
 ≤71211 (93.30)1049 (91.14)0.046*
 >787 (6.70)102 (8.86)
History of silicosis
 No1270 (97.84)1127 (97.91)0.902
 Yes28 (2.16)24 (2.09)

Data are presented as n (%), unless otherwise stated. BMI: body mass index; TB: tuberculosis. #: completed 6 weeks of twice-weekly rifapentine plus isoniazid (both with a maximum dose of 600 mg). p-value by Chi-squared test. *: p<0.05.

Flowchart of study participant intervention and follow-up. 1299 participants accepted treatment of the 6-week regimen and 1155 untreated controls were included in the original randomised controlled trial. 83.37% (2046 out of 2454) and 72.00% (1767 out of 2454) of the subjects completed the 2- and 5-year follow-up surveys, respectively. Five subjects (one in the treated group and four in the untreated control group) were excluded because of self-reported preventive treatment after intervention performed by the study. 1298 treated participants and 1151 untreated controls were included in the 5-year protective efficacy analysis. Characteristics of the study participants included in the intention-to-treat analysis Data are presented as n (%), unless otherwise stated. BMI: body mass index; TB: tuberculosis. #: completed 6 weeks of twice-weekly rifapentine plus isoniazid (both with a maximum dose of 600 mg). p-value by Chi-squared test. *: p<0.05.

Protective efficacy of the treatment regimen

In total, 12 and 26 incident cases of active pulmonary TB were diagnosed for the treated and untreated groups during the 5-year follow-up post-intervention, respectively. Eight cases were confirmed microbiologically, while 30 cases were diagnosed clinically based on their suspected symptoms, abnormal chest radiography and positive responses to anti-TB treatment (for detailed information on the identified TB cases, see supplementary table S1). Kaplan–Meier curve analysis demonstrated that participants in the untreated group had a higher risk of developing active TB compared with the treated group (figure 2). As shown in supplementary figure S1, the treated individuals who completed the assigned study regimen had a lower risk of developing active TB (0.89% (nine out of 1013)) compared with those who did not complete the regimen (1.05% (three out of 285)), but the difference was statistically nonsignificant (p=0.706).
FIGURE 2

Kaplan–Meier curve analysis of time to tuberculosis (TB) by study arm. Numbers of participants who remained without disease are listed by study arm. Most of the cases were identified in yearly examinations with chest radiography screening-based active case finding. The Kaplan–Meier curves demonstrate that participants in the untreated group had an increased risk of developing active TB compared with the treated control group.

Kaplan–Meier curve analysis of time to tuberculosis (TB) by study arm. Numbers of participants who remained without disease are listed by study arm. Most of the cases were identified in yearly examinations with chest radiography screening-based active case finding. The Kaplan–Meier curves demonstrate that participants in the untreated group had an increased risk of developing active TB compared with the treated control group. In the intention-to-treat analysis (table 2), the cumulative incidence of active TB was 2.26% (95% CI 1.40–3.12%) in the untreated control group and 0.92% (95% CI 0.40–1.45%) in the treated group. The incidence rate of active TB was 0.49 (95% CI 0.30–0.67) per 100 person-years in the untreated control group and 0.20 (95% CI 0.09–0.32) per 100 person-years in the treated group. Compared with the untreated controls, the risk of active disease was decreased among treated individuals (aHR 0.41, 95% CI 0.20–0.84). In the per-protocol analysis, the cumulative incidence of active TB was 2.26% (95% CI 1.40–3.12%) in the untreated control group and 0.89% (95% CI 0.31–1.41%) in the treated group. The incidence rate of active TB was 0.49 (95% CI 0.30–0.67) per 100 person-years in the untreated control group and 0.19 (95% CI 0.07–0.32) per 100 person-years in the treated group. The 6-week twice-weekly regimen showed a protection rate of 61.22%.
TABLE 2

Incidence of active tuberculosis in the study groups

Treated group # Untreated control group
Intention-to-treat analysis
 Subjects12981151
 Person-years58765337
 Incident cases1226
 Cumulative incidence (% (95% CI))0.92 (0.40–1.45)2.26 (1.40–3.12)
 Protection rate (%)59.29
 Incidence rate per 100 person-years (95% CI)0.20 (0.09–0.32)0.49 (0.30–0.67)
 Protection rate+ (%)59.18
 Adjusted hazard ratio (95% CI)§0.41 (0.20–0.84)Reference
Per-protocol analysis
 Subjects10121151
 Person-years46545337
 Incident cases926
 Cumulative incidence (% (95% CI))0.89 (0.31–1.41)2.26 (1.40–3.12)
 Protection rate (%)60.62
 Incidence rate per 100 person-years (95% CI)0.19 (0.07–0.32)0.49 (0.30–0.67)
 Protection rate+ (%)61.22
 Adjusted hazard ratio (95% CI)§0.39 (0.17–0.88)Reference

Data are presented as n, unless otherwise stated. #: completed 6 weeks of twice-weekly rifapentine plus isoniazid (both with a maximum dose of 600 mg); ¶: calculated using the cumulative incidence; +: calculated using the incidence rate per 100 person-years; §: adjusted for age, body mass index, baseline interferon-γ and presence of pulmonary fibrotic lesions.

Incidence of active tuberculosis in the study groups Data are presented as n, unless otherwise stated. #: completed 6 weeks of twice-weekly rifapentine plus isoniazid (both with a maximum dose of 600 mg); ¶: calculated using the cumulative incidence; +: calculated using the incidence rate per 100 person-years; §: adjusted for age, body mass index, baseline interferon-γ and presence of pulmonary fibrotic lesions.

Protective efficacy of the treatment regimen among participants with baseline IFN-γ ≥3.25 IU·mL−1

As shown in figure 3a, with respect to the QFT-GIT results, no significant difference was found for the median baseline levels of IFN-γ between the treated and untreated participants. For the untreated participants, the median baseline levels of IFN-γ were significantly higher among those who developed active TB than those who stayed healthy (figure 3b). Such a relation was also found in the treated group, although the difference was not statistically significant.
FIGURE 3

Subgroup distributions and comparisons of interferon (IFN)-γ levels at baseline. a) Distribution of baseline IFN-γ levels between treated and untreated participants. b) Distribution of baseline IFN-γ levels between subjects with and without tuberculosis (TB) disease development classified by treatment. Horizontal lines represent median IFN-γ levels. Differences tested by Wilcoxon rank sum test. *: p<0.05.

Subgroup distributions and comparisons of interferon (IFN)-γ levels at baseline. a) Distribution of baseline IFN-γ levels between treated and untreated participants. b) Distribution of baseline IFN-γ levels between subjects with and without tuberculosis (TB) disease development classified by treatment. Horizontal lines represent median IFN-γ levels. Differences tested by Wilcoxon rank sum test. *: p<0.05. The participants were classified into two subgroups by the highest quartile of baseline IFN-γ levels (table 3). For individuals with IFN-γ ≥3.25 IU·mL−1, in the per-protocol analysis, the incidence rate of active TB was 0.69 (95% CI 0.23–1.13) per 100 person-years in the untreated control group and 0.16 (95% CI 0.00–0.39) per 100 person-years in the treated group, with a protection rate of 76.82%. No significant difference was found for the major characteristics of the study participants between the groups as shown in supplementary table S2. In addition, participants who developed active TB showed a higher frequency of pulmonary fibrotic lesions than those who stayed healthy (supplementary table S3).
TABLE 3

Subgroup analysis of active tuberculosis incidence classified into two subgroups by the 75% quartile of baseline interferon (IFN)-γ level (3.25 IU·mL−1)

Baseline IFN-γ 0.35– <3.25 IU·mL−1 Baseline IFN-γ ≥3.25 IU·mL−1
Treated group # Untreated control group Treated group # Untreated control group
Intention-to-treat analysis
 Subjects961861337288
 Person-years4322402615541304
 Incident cases101629
 Cumulative incidence (% (95% CI))1.04 (0.40–1.68)1.86 (0.96–2.76)0.59 (0.00–1.41)3.13 (1.12–5.13)
 Protection rate (%)44.0981.15
 Incidence rate per 100 person-years (95% CI)0.23 (0.08–0.37)0.40 (0.20–0.59)0.13 (0.00–0.31)0.69 (0.23–1.13)
 Protection rate+ (%)42.5081.16
 Adjusted hazard ratio (95% CI)§0.50 (0.22–1.13)Reference0.26 (0.05–1.25)Reference
Per-protocol analysis
 Subjects748861264288
 Person-years3021402612331304
 Incident cases71629
 Cumulative incidence (% (95% CI))0.94 (0.24–1.63)1.86 (0.96–2.76)0.76 (0.00–1.80)3.13 (1.12–5.13)
 Protection rate (%)49.4675.72
 Incidence rate per 100 person-years (95% CI)0.23 (0.06–0.40)0.40 (0.20–0.59)0.16 (0.00–0.39)0.69 (0.23–1.13)
 Protectione rate+ (%)42.5076.82
 Adjusted hazard ratio (95% CI)§0.46 (0.18–1.15)Reference0.33 (0.07–1.56)Reference

Data are presented as n, unless otherwise stated. Two subjects without baseline IFN-γ levels were treated as missing values in this analysis. #: completed 6 weeks of twice-weekly rifapentine plus isoniazid (both with a maximum dose of 600 mg); ¶: calculated using the cumulative incidence; +: calculated using the incidence rate per 100 person-years; §: adjusted for age, body mass index and presence of pulmonary fibrotic lesions.

Subgroup analysis of active tuberculosis incidence classified into two subgroups by the 75% quartile of baseline interferon (IFN)-γ level (3.25 IU·mL−1) Data are presented as n, unless otherwise stated. Two subjects without baseline IFN-γ levels were treated as missing values in this analysis. #: completed 6 weeks of twice-weekly rifapentine plus isoniazid (both with a maximum dose of 600 mg); ¶: calculated using the cumulative incidence; +: calculated using the incidence rate per 100 person-years; §: adjusted for age, body mass index and presence of pulmonary fibrotic lesions.

Risk factors associated with active TB development among study participants

As shown in table 4, the incidence of active TB increased along with age in a dose–response relationship. The multiple logistic regression analysis indicted that participants with baseline BMI <18.5 kg·m−2 had a much higher hazard of developing active disease (aHR 3.64, 95% CI 1.20–11.00). Individuals with pulmonary fibrotic lesions identified by chest radiography were at a much higher risk of developing active TB compared with those with normal chest radiography (aHR 5.99, 95% CI 2.20–16.27). In addition, individuals with higher baseline IFN-γ levels had an increased risk of TB occurrence compared with those with lower baseline IFN-γ levels (aHR 2.27, 95% CI 1.13–4.58).
TABLE 4

Risk factors related to the incidence of active tuberculosis (TB)

Incidence of TB # p-value Adjusted HR (95% CI)
Age (years)
 50–552/581 (0.34)<0.001*Reference
 56–605/638 (0.78)1.56 (0.29–8.55)
 61–6512/632 (1.90)4.88 (1.09–21.89)*
 66–7019/598 (3.18)5.07 (1.13–22.62)*
 ptrend-value<0.001*
Gender
 Female12/1102 (1.09)0.094
 Male26/1347 (1.93)
BMI (kg·m−2)
 <18.54/52 (7.69)<0.001*3.64 (1.20–11.00)
 18.5– <2422/1013 (2.17)Reference
 24– <2811/951 (1.16)0.63 (0.30–1.32)
 ≥281/433 (0.23)0.13 (0.02–1.00)*
 ptrend-value<0.001*
Ever-smoker
 No17/1456 (1.17)0.063
 Yes21/993 (2.11)
Current alcohol drinking
 No27/1711 (1.58)0.872
 Yes11/738 (1.49)
With a history of silicosis
 No37/2397 (1.54)0.827
 Yes1/52 (1.92)
Chest radiography-identified prior TB
 No33/2408 (1.37)<0.001*Reference
 Yes5/41 (12.20)5.99 (2.20–16.27)*
Fasting blood glucose (mmol·L−1)
 ≤735/2260 (1.55)0.967
 >73/189 (1.59)
Group
 Treated group: completed the regimen9/1012 (0.89)0.028*0.40 (0.18–0.89)*
 Treated group: did not complete the regimen3/286 (1.05)0.42 (0.12–1.50)
 Untreated control group26/1151 (2.26)Reference
Baseline IFN-γ level (IU·mL−1)+
 <1.3412/1218 (0.99)0.034*Reference
 ≥1.3425/1229 (2.03)2.27 (1.13–4.58)*

Data are presented as n/N (%), unless otherwise stated. HR: hazard ratio; BMI: body mass index; IFN: interferon. #: the events in both groups were pooled for this analysis; ¶: all variables with p-values <0.05 in the univariate model were entered into the multivariate models; : classified by median level of baseline IFN-γ. *: p<0.05.

Risk factors related to the incidence of active tuberculosis (TB) Data are presented as n/N (%), unless otherwise stated. HR: hazard ratio; BMI: body mass index; IFN: interferon. #: the events in both groups were pooled for this analysis; ¶: all variables with p-values <0.05 in the univariate model were entered into the multivariate models; : classified by median level of baseline IFN-γ. *: p<0.05.

Discussion

To the best of our knowledge, this is the first RCT performed in the Chinese population aiming to explore short-course regimens composed of domestic drugs for LTBI treatment. Our results showed that the 6-week twice-weekly isoniazid plus rifapentine regimen still had a protection rate of 61.22% at 5 years after the intervention. It indicated that under the current TB epidemic situation in China, preventive treatment based on a short-course regimen was an optional tool for TB control. Further analyses showed a higher protection rate of 76.82% among participants with higher baseline releasing level of IFN-γ, which provided important clues for further disclosing LTBI pathogenesis and developing precise intervention strategies. Isoniazid prophylaxis has been reported to be effective in preventing TB in many different populations and under a variety of conditions, and the protective efficacy has been shown to persist for as long as 19 years in areas with a low TB burden [15]. Rifapentine is a rifamycin derivative with a long half-life and greater potency against M. tuberculosis than rifampin. Using rifapentine in combination with isoniazid provided an important opportunity for developing short-course and lower frequency regimens for LTBI treatment. Compared with the most recently reported short-course regimens [7, 9, 16], we developed a 6-week twice-weekly regimen showing comparable safety and completion rates. In addition, we were pleased to see that the regimen still showed a protective efficacy >60% at 5 years after the intervention. It is known that the duration of the protection period is affected by multiple factors, including the characteristics of the target population, local TB epidemic and TB control strategies. In high-burden areas like China with 0.8 million new TB cases annually, TB occurrence due to re-infection would definitely influence the protective efficacy and shorten the protection period. Our previous study suggested that the annual TB infection rate was ∼1.5% based on the persistent conversion of QFT-GIT testing in the rural community [14]. Under such circumstances, whether re-infection yielded an impact on the effect of preventive treatment has always been a hotly debated concern. In addition, although participants were randomly divided into treated and untreated groups with the main characteristics such as age and gender evenly distributed, the distribution of the other potential factors that might influence the occurrence of active TB was difficult to investigate, e.g. the onset of infection. As previously reported [17], parts of the baseline positives might be recently infected with a higher risk of developing active disease within the first 2 years of follow-up. Thus, an overlap observed in the Kaplan–Meyer curves in the first 2 years might be explained by such unevenly distributed factors between the two study groups. Considering that the frequency of self-reported history of close contact with active TB patients during the 5-year follow-up was not significantly different between the groups and no outbreak of TB was reported at the study site, the protective effect observed in our study should not be remarkably affected by the occurrence of new infections under the current local TB epidemic situation. Despite our results needing further verification in more populations and a longer follow-up period, they provide further evidence and confidence for exploring short-course or ultra-short-course LTBI preventive treatment regimens which might be more suitable for application in China and countries with a similar TB epidemic. A positive relation was frequently observed between baseline IFN-γ levels and risk of TB progression [18, 19]. It is well accepted that the results of QFT-GIT cannot be used for assessing the risk of active disease development due to the low predictive value [20]. However, whether individuals with variant IFN-γ levels in QFT-GIT testing had different responses to preventive treatment has been rarely studied. Therefore, we further evaluated the protection rate among participants with the highest quartile of baseline IFN-γ levels in a subgroup analysis and the protective efficacy was found to be as high as 76.82%. The finding might be explained by two potential reasons. First, higher IFN-γ levels might reflect more active M. tuberculosis replication in the host and thus anti-bacterial effectiveness could be well presented by preventive treatment [21]. Second, individuals with higher IFN-γ levels might be recently infected with M. tuberculosis [22] and preventive treatment might be more effective for such high-risk individuals. Our present study could not provide positive evidence to support these speculations (supplementary table S4). In any case, the subgroup analysis was limited because it was not the original study objective. Therefore, it was difficult to draw a solid conclusion from this finding. Our results need to be verified by mechanistic research and observational studies with a larger sample size. Consistent with a previous study [23], our results showed that the incidence rate of active pulmonary TB among participants with fibrotic lesions was higher than among participants with normal chest radiography findings. In addition, similar to the link between lower BMI and increased risk of active TB, our results showed that BMI <18.5 kg·m−2 was independently associated with the development of TB [24]. Our study also found that participants with baseline BMI ≥28 kg·m−2 had a much lower hazard of developing active disease (aHR 0.13, 95% CI 0.02–1.00), which was similar to previous epidemiological findings that obesity was associated with reduced risk of active TB in an inverse dose–response relationship [25-28]. Although currently we cannot define target populations by these potential risk factors, they still deserve our attention, especially when they appear together with other risk factors such as exposure to M. tuberculosis infection. When interpreting the results of the study, several limitations should be kept in mind. First, study participants with pulmonary fibrotic lesions and diabetes mellitus based on fasting blood glucose >7 mmol·L−1 were not evenly distributed between the groups, which might influence the estimation of the protection rate because they are potential risk factors for disease development from LTBI [23, 29]. However, after excluding participants with pulmonary fibrotic lesions and diabetes mellitus, the protective efficacy of the 6-week regimen was still 50% (supplementary table S5). Second, as active case finding based on digital chest radiography and suspected symptoms investigation was used for tracking TB during follow-up, most of the incident cases (30 out of 38) were clinically diagnosed in this study. In order to minimise the potential misclassification bias, the clinical diagnosis was determined by an expert team, blinded to group assignment, based on responses to diagnostic anti-TB treatment. Third, as the original study (including the sample size) was designed for evaluation of the 2-year protection rate, the power to estimate the 5-year protective efficacy would not be sufficient. As we retrospectively calculated, the power of the current study to identify a 60% protection rate in 5 years was 76%. In addition, as has been previously discussed [13], both of the studied regimens were terminated in advance in this RCT and the group treated with the modified once-weekly regimen was dropped in the present study due to its low protective efficacy in the 2-year follow-up. Therefore, further studies with larger sample sizes are needed to verify our findings in different populations. In conclusion, the 6-week twice-weekly rifapentine plus isoniazid regimen showed a protective efficacy >60% at 5 years after the intervention in a Chinese population with LTBI. Our findings provide more evidence and confidence to develop shorter and better-tolerated LTBI treatment regimens as potentially suitable tools for preventive treatment in China. However, the scale-up of LTBI treatment is a step-by-step process; besides suitable regimens, more innovative technologies, comprehensive strategies, resource input and government support are also needed. Please note: supplementary material is not edited by the Editorial Office, and is uploaded as it has been supplied by the author. Supplementary tables. ERJ-02359-2021.Supplement Supplementary figure S1. Kaplan–Meier curve of tuberculosis (TB) occurrence by completion of the regimen. Numbers of participants who remained disease free were listed by study arm. The Kaplan–Meier curve demonstrated that there was no significant difference in the risk of developing active TB between the participants who completed the regimen and who did not (p=0.706). ERJ-02359-2021.Figure This one-page PDF can be shared freely online. Shareable PDF ERJ-02359-2021.Shareable
  26 in total

1.  Stratification by interferon-γ release assay level predicts risk of incident TB.

Authors:  Brita Askeland Winje; Richard White; Heidi Syre; Dag Harald Skutlaberg; Fredrik Oftung; Anne Torunn Mengshoel; Hege Salvesen Blix; Arne Broch Brantsæter; Ellen Kristine Holter; Nina Handal; Gunnar Skov Simonsen; Jan Egil Afset; Anne Marte Bakken Kran
Journal:  Thorax       Date:  2018-04-05       Impact factor: 9.139

Review 2.  A consistent log-linear relationship between tuberculosis incidence and body mass index.

Authors:  Knut Lönnroth; Brian G Williams; Peter Cegielski; Christopher Dye
Journal:  Int J Epidemiol       Date:  2009-10-09       Impact factor: 7.196

3.  5-Year Follow-up of Active Tuberculosis Development From Latent Infection in Rural China.

Authors:  Henan Xin; Haoran Zhang; Shumin Yang; Jianmin Liu; Wei Lu; Liqiong Bai; Xuefang Cao; Boxuan Feng; Qi Jin; Lei Gao
Journal:  Clin Infect Dis       Date:  2020-02-14       Impact factor: 9.079

4.  Latent tuberculosis infection in rural China: baseline results of a population-based, multicentre, prospective cohort study.

Authors:  Lei Gao; Wei Lu; Liqiong Bai; Xinhua Wang; Jinsheng Xu; Antonino Catanzaro; Vicky Cárdenas; Xiangwei Li; Yu Yang; Jiang Du; Hongtao Sui; Yinyin Xia; Mufei Li; Boxuan Feng; Zhen Li; Henan Xin; Rong Zhao; Jianmin Liu; Shouguo Pan; Fei Shen; Jian He; Shumin Yang; Hongyan Si; Yi Wang; Zuhui Xu; Yunhong Tan; Tianzhu Chen; Weiguo Xu; Hong Peng; Zhijian Wang; Tao Zhu; Feng Zhou; Haiying Liu; Yanlin Zhao; Shiming Cheng; Qi Jin
Journal:  Lancet Infect Dis       Date:  2015-02-11       Impact factor: 25.071

5.  Three months of rifapentine and isoniazid for latent tuberculosis infection.

Authors:  Timothy R Sterling; M Elsa Villarino; Andrey S Borisov; Nong Shang; Fred Gordin; Erin Bliven-Sizemore; Judith Hackman; Carol Dukes Hamilton; Dick Menzies; Amy Kerrigan; Stephen E Weis; Marc Weiner; Diane Wing; Marcus B Conde; Lorna Bozeman; C Robert Horsburgh; Richard E Chaisson
Journal:  N Engl J Med       Date:  2011-12-08       Impact factor: 91.245

6.  Lower risk of tuberculosis in obesity.

Authors:  Chi C Leung; Tai H Lam; Wai M Chan; Wing W Yew; Kin S Ho; Gabriel Leung; Wing S Law; Cheuk M Tam; Chi K Chan; Kwok C Chang
Journal:  Arch Intern Med       Date:  2007-06-25

7.  Nutritional risk factors for tuberculosis among adults in the United States, 1971-1992.

Authors:  J Peter Cegielski; Lenore Arab; Joan Cornoni-Huntley
Journal:  Am J Epidemiol       Date:  2012-07-11       Impact factor: 4.897

8.  Short-course regimens of rifapentine plus isoniazid to treat latent tuberculosis infection in older Chinese patients: a randomised controlled study.

Authors:  Lei Gao; Haoran Zhang; Henan Xin; Jianmin Liu; Shouguo Pan; Xiangwei Li; Ling Guan; Fei Shen; Zisen Liu; Dakuan Wang; Xueling Guan; Jiaoxia Yan; Hengjing Li; Boxuan Feng; Xuefang Cao; Yu Chen; Wei Cui; Zongde Zhang; Yu Ma; Xiaoyou Chen; Xinhua Zhou; Qi Jin
Journal:  Eur Respir J       Date:  2018-12-20       Impact factor: 16.671

9.  WHO's new end TB strategy.

Authors:  Mukund Uplekar; Diana Weil; Knut Lonnroth; Ernesto Jaramillo; Christian Lienhardt; Hannah Monica Dias; Dennis Falzon; Katherine Floyd; Giuliano Gargioni; Haileyesus Getahun; Christopher Gilpin; Philippe Glaziou; Malgorzata Grzemska; Fuad Mirzayev; Hiroki Nakatani; Mario Raviglione
Journal:  Lancet       Date:  2015-03-24       Impact factor: 79.321

Review 10.  Diabetes mellitus increases the risk of active tuberculosis: a systematic review of 13 observational studies.

Authors:  Christie Y Jeon; Megan B Murray
Journal:  PLoS Med       Date:  2008-07-15       Impact factor: 11.069

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  2 in total

1.  Relationship between DNA Methylation Profiles and Active Tuberculosis Development from Latent Infection: a Pilot Study in Nested Case-Control Design.

Authors:  Ying Du; Xu Gao; Jiaoxia Yan; Haoran Zhang; Xuefang Cao; Boxuan Feng; Yijun He; Yongpeng He; Tonglei Guo; Henan Xin; Lei Gao
Journal:  Microbiol Spectr       Date:  2022-04-21

2.  Whole transcriptome sequencing reveals neutrophils' transcriptional landscape associated with active tuberculosis.

Authors:  Xingzhu Geng; Xiaolin Wu; Qianting Yang; Henan Xin; Bin Zhang; Dakuan Wang; Liguo Liu; Song Liu; Qi Chen; Zisen Liu; Mingxia Zhang; Shouguo Pan; Xiaobing Zhang; Lei Gao; Qi Jin
Journal:  Front Immunol       Date:  2022-08-18       Impact factor: 8.786

  2 in total

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