Next Article in Journal
Therapeutic Approaches for Chronic Obstructive Pulmonary Disease (COPD) Exacerbations
Next Article in Special Issue
Landscape of TB Infection and Prevention among People Living with HIV
Previous Article in Journal
Feline Toxoplasmosis in Greece: A Countrywide Seroprevalence Study and Associated Risk Factors
Previous Article in Special Issue
Tuberculosis Infection in Pregnant People: Current Practices and Research Priorities
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Tuberculosis Infection in Children and Adolescents

by
Boris Tchakounte Youngui
1,2,*,
Boris Kevin Tchounga
2,
Stephen M. Graham
3 and
Maryline Bonnet
1
1
TransVIHMI, Institut de Recherche pour le Développement (IRD), Institut National de la Santé et de la Recherche Médicale (INSERM), University of Montpellier, 34090 Montpellier, France
2
Department of Public Health Evaluation and Research, Elizabeth Glaser Paediatric AIDS Foundation, Yaoundé 99322, Cameroon
3
Department of Paediatrics and Murdoch Children’s Research Institute, Royal Children’s Hospital, University of Melbourne, Melbourne 3052, Australia
*
Author to whom correspondence should be addressed.
Pathogens 2022, 11(12), 1512; https://doi.org/10.3390/pathogens11121512
Submission received: 15 November 2022 / Revised: 4 December 2022 / Accepted: 7 December 2022 / Published: 9 December 2022

Abstract

:
The burden of tuberculosis (TB) in children and adolescents remains very significant. Several million children and adolescents are infected with TB each year worldwide following exposure to an infectious TB case and the risk of progression from TB infection to tuberculosis disease is higher in this group compared to adults. This review describes the risk factors for TB infection in children and adolescents. Following TB exposure, the risk of TB infection is determined by a combination of index case characteristics, contact features, and environmental determinants. We also present the recently recommended approaches to diagnose and treat TB infection as well as novel tests for infection. The tests for TB infection have limitations and diagnosis still relies on an indirect immunological assessment of cellular immune response to Mycobacterium tuberculosis antigens using immunodiagnostic testing. It is recommended that TB exposed children and adolescents and those living with HIV receive TB preventive treatment (TPT) to reduce the risk of progression to TB disease. Several TPT regimens of similar effectiveness and safety are now available and recommended by the World Health Organisation.

1. Introduction

Tuberculosis (TB) is an infection caused by a bacilli of the Mycobacterium (M) tuberculosis complex transmitted by inhaling bacilli contained in droplets expelled by a TB contagious individual [1]. TB remains a major cause of morbidity and mortality worldwide. More than 1.5 million children and adolescents (0–19 years) fall ill with TB every year (11% of the total number of estimated cases), with the highest proportions in young children (<5 years) and older adolescents (15–19 years) [2,3]. The burden of child and adolescent TB varies between countries and regions [4]. About 78% of the estimated number of incident TB cases among children and young adolescents in 2019 and 2020 occurred in the World Health Organisation (WHO) regions of African Region (30%) and South-East Asian Region (48%); where these regions also accounted for 84% of the combined total of TB deaths in HIV-negative and HIV-positive children [2,5].
Following exposure to M. tuberculosis, several factors involving the host immune response will lead either to the clearance of the germ or the TB infection that can remain latent or evolve to TB disease [6]. It is estimated that 7.5 million children are infected with Mycobacterium tuberculosis (M. tuberculosis) each year and 5–10% may develop TB disease without tuberculosis preventive treatment (TPT). The risk of the development of TB disease after exposure is age-related, the cumulative risk being higher among children below 5 years of age and adolescents (15–18 years) [3,7,8,9]. The risk of progression from infection to serious disease is more frequent within the first year after exposure in children under 2 years of age, often acutely without significant prior symptoms, while in children aged between 2 and 10 years of age, it is less common and usually associated with symptoms suggestive of TB [3].
In this article, we review the risk factors of TB infection in children and adolescents as well as recent advances in diagnosis and management.

2. Defining TB Infection

In individuals primary infected with M. tuberculosis, the pathogen is completely eradicated in some, while the immune response succeeds in the containment of infection in others as some bacilli escape killing by blunting the microbicidal mechanisms of immune cells and remain in the nonreplicating (dormant or latent) state in old lesions [10]. The term “latent” defines the condition of the persistent immune response following sensitisation by M. tuberculosis antigens (detected through immunological tests), without clinical or radiological evidence of disease [11]. Given the challenges to define or confirm latency, the term “TB infection” (TBI) is increasingly used rather than latent TBI. This may better characterize the dynamic continuum of various states related to TB that include infection (no disease), incipient or sub-clinical disease (asymptomatic with early radiographic changes), and non-severe and severe disease states (disease clinically active). The outcome of TBI is either self-cure, latency, or disease, and the term “TB” usually refers to the disease state [6,12,13]. In high TB incidence countries, first exposure and infection commonly occur during childhood [14,15], and studies in these settings show that up to half of the adolescents have evidence of TBI [16,17]. The risk of progression to TB disease in children and young adolescents with untreated TBI is higher than in adults, with the highest age-related risk in infants and young children [2,18].

3. Risk Factors for TB Infection

Various and variable factors determine the risk of exposure to an index case, the risk of progression from exposure to TBI, and then the risk from TBI to disease [19]. Following exposure, the risk of TBI is determined by a combination of index case characteristics, contact features, and environmental determinants (Table 1) [3,18,19,20,21,22]. Closer exposure proximity and long hours of exposure to an infectious TB case are well-known risk factors of TBI [18,23]. The risk also increases if the index case has high bacillary disease such as sputum smear positive and/or cavitary pulmonary disease [24,25]. Household contacts of a TB index case are at high risk of TBI in all settings, irrespective of community TB incidence [24,25,26,27,28,29]. A child exposed to a person with TB in the household is almost four times more likely to have TBI than an age-matched child in the same community but without exposure to TB in the household [24]. However, a meta-analysis of the risk of TBI in children demonstrated that household contact conferred less additional risk of TBI for children aged 10–14 years compared with young children aged 0–4 years [24]. This may reflect that young children spend more time in the household compared to school-aged children and adolescents. In high TB incidence settings, the likelihood that exposure occurs outside the household increases with age and is particularly high for adolescents who have frequent social contact outside the household including in more populated or confined environments (school, public transport, place of mass gathering).
A study carried out in an especially high TB incidence township in South Africa showed an extremely high rate of TBI in childhood and adolescence, increasing with age, with a maximal rate of TBI in the mid-teenage years [30]. In an observational study carried out in a South African township, the transmission events in children outside the household occurred in transit (about 20%), school (about 20%), and other households (5–20%, depending on the child’s age). In young children (<5 years), a small proportion of transmission events (about 5%) also occurred in the workplace, possibly from parents [31]. South-African townships are places at a very high risk of TB transmission and the study findings from these settings may not be generalised to other settings. However, the information currently available on where children get infected is limited as estimates are based on data only from observational studies and mathematical modelling builds on assumptions [24,31]. Moreover, the available studies did not take into consideration several key parameters that might influence TB transmission such as the local incidence of TB (most studies conducted in very high-incidence communities) and the variability in infectiousness and age-related risks of exposure [24,31]. However, it is well-established that the household contacts of a TB index case are a high-risk group for infection and disease [32].
Among other factors, some authors have suggested that co-infection (HIV infection) and childhood illnesses (cytomegalovirus, adenovirus, and other respiratory viruses) could increase the risk of TBI and the risk of progression to disease through the impact on the host immune response to M. tuberculosis and/or by induced lung damage [33]. On the other hand, routine childhood vaccine could protect against TBI through an increased total IgG level [33]. Factors related to poor socio-economic status such has living in high TB incidence settings such as townships or crowded conditions also increases the risk of TB exposure and TBI in children and adolescents [20,34]. In a study among adolescents aged 12–18 years carried out in in South Africa, predictive factors for TBI were older age, ethnicity, low parental income, maternal and paternal education at the primary school level or less, current or prior household TB exposure, and absence of chronic allergic disease [16]. The characteristics of the environment can also influence the risk of exposure. Observational studies in various settings have established an association between exposure to a smoking index case and M tuberculosis transmission to child TB contacts [23,35,36,37,38]. Cigarette smoke induces ciliary dysfunction, reducing immune response, defects in the immune response of macrophages, and therefore may increase susceptibility to TBI [39]. Furthermore, common urban sources of indoor air pollution have been found to be associated with TBI in child TB contacts [37,40].
The Bacillus Calmette-Guérin (BCG) vaccine protects from the risk of disseminated TB and TB meningitis in young children with limited effect in old children and adults [41]. The BCG vaccine also provides some protection against the risk of TBI [42,43,44,45,46]. A recent meta-analysis found that the vaccination of newborns is effective at preventing TBI in young children, but protection does extend to adolescents [46]. A systematic review including 3855 participants estimated a pooled risk ratio for TBI in vaccinated children of 0.81 (95% CI 0.71–0.92), indicating a protective efficacy of 19% against TBI among vaccinated children after exposure compared with unvaccinated children [43].
Efforts are being made globally for the development of improved vaccines against TB. Several vaccine candidates are currently in the pipeline at different stages of clinical trials in humans [47]. Phase III trials are currently investigating the efficacy of two vaccine candidates (VPM1002 and MTBVACN3) in protecting against TB infection in infants [48,49]. Furthermore, additional TB vaccine candidates are at the preclinical stage as well as the phase 1 and phase 2 stages of development [50].

4. Detection of Tuberculosis Infection

The main goal of diagnosing TBI in children and adolescents is to identify those who are at risk for developing TB who should benefit from TPT [51,52,53]. There is no test that confirms TBI and no gold standard against which to evaluate new diagnostics. The diagnosis of TBI currently relies on an indirect immunological assessment of a cellular immune response to M. tuberculosis antigens using immunodiagnostic testing (Table 2). There are two common tests that are used as tests for TBI diagnosis: the tuberculin skin test (TST) and M. tuberculosis interferon-gamma release assays (IGRAs). Although the use of both TST and IGRAs tests is recommended for the diagnosis of TBI, neither can help differentiate TBI from TB disease as they measure lasting TB immune responses that can be present in current and previous TB disease, TBI, recent or remote TB exposure, or exposure to environmental nontuberculous mycobacteria that may have cross-reactivity [54]. Therefore, the diagnosis of TBI should combine a positive immunologic TB test result and a medical evaluation to rule out TB disease (i.e., no clinical, bacteriologic, or radiographic evidence of TB disease) [55].

4.1. Immunologic Tests for TB Infection

The TST measures the immune reaction to an intradermal injection of tuberculin purified protein derivative (PPD) into the forearm of an individual. Several PPD formulations are currently available and used in human subjects (PPD-s, PPD S2, PPD RT23, PPD IC-65) [57], but PPD RT23 is the most widely used globally and the one recommended by the WHO and the International Union Against Tuberculosis and Lung Disease. The TST mechanism is based on a delayed-type hypersensitivity reaction cell-mediated response to tuberculin antigens usually within 48 to 72 h, corresponding to a local induration of the skin [58]. The result of the test is then read 48–72 h after the injection [57]. An induration of 10 mm or more is considered positive among children <5 years of age, or children and adolescents exposed to adults in high-risk categories, but 5 mm is the recommended threshold for immunocompromised children including severely malnourished and HIV-positive children and children with a recent TB contact [59].
TST results are affected by a complex array of factors related to a high risk for false-positive and false-negative results. False-positive TST results can be attributed to exposure to non-tuberculosis mycobacteria (NTM), BCG vaccination, error in TST administration or interpretation, and low risk of TB exposure. The positive predictive value of the TST in BCG-vaccinated children increases with age, suggesting a decrease in false-positive TST due to BCG administration over time [60]. The positive predictive value of the TST is much greater when it is applied to individuals who have a recognised risk factor for TBI [61]. The false-negative TST reaction can be attributed to recent TBI (less than 12 weeks), cutaneous anergy due to weakness of the immune system, which is common in young or malnourished children, recent live-virus vaccination or viral illness, overwhelming TB disease (military TB or TB meningitis), and error in TST administration [56,59].
The IGRA is a whole blood assay that detects the interferon gamma (IFN-γ) produced in vivo by sensitised T cells after in vitro stimulation with M. tuberculosis-specific antigens, namely, the 6-kDa early secreted antigenic target protein (ESAT-6) and the 10-kDa culture filtrate protein (CFP-10). IGRAs were designed to target almost exclusively M tuberculosis specific proteins that are not present in the BCG vaccine and the most common NTM species [62]. Nonetheless, studies have reported an association of some NTM species (M. avium complex, M. gordonae, M. lentiflavum) with a positive IGRA [63,64,65]. Studies carried out in low TB incidence settings suggest that IGRAs are a more specific indicator of the presence of TBI than the TST [34,66,67,68,69,70]. However, IGRA are less sensitive in younger children with a higher rate of false-negative or indeterminate results, especially in infants [71,72]. Other advantages over the TST include its interpretation, which is not user dependent and the test does not cross react with the BCG vaccine, resulting in higher specificity [34,66,67,68,69,70]. The latest IGRAs currently approved by the Food and Drug Administration (FDA) and available on the market are the QuantiFERON®-TB Gold in-tube (QFT-GIT™) test and the QuantiFERON®-TB Gold Plus in-tube (QFT-GPIT™) test, which are both based on the enzyme-linked immunosorbent assay (ELISA) technique, and the T-SPOT®TB test based on the ELISPOT technique, which quantifies the number of IFN-γ-producing T cells (spot-forming cells). QuantiFERON®-TB Gold Plus in-tube (QFT-GPIT™) is the latest generation of IGRAs and was launched with the promise of improved performance over QFT-GIT through the addition of the CD8 T-cell response [73]. However, studies directly comparing QFT-Plus with QFT-GIT in TB patients, high-risk groups, and low-risk populations have not revealed any significant improvement in its performance [74]. Further research in immunocompromised individuals and children is needed [74]. The T-SPOT®TB is less used, although some evidence indicates that it might produce a lower rate of indeterminate results compared to QuantiFERON-TB in children originating from the African continent and in immunocompromised children [75].

4.2. Considerations for TBI Testing

Dawn Nolt et al. [52] suggested an evidence based structured summarised recommendations regarding testing in children and adolescents using TST and IGRAs. Both the TST and IGRAs are imperfect methods but have high positive predictive value when applied to children with risk factors for TBI, particularly recent TB contact. Therefore, a TST or IGRA should be performed only in children with a risk factor for TBI or TB disease, in those having a disease or condition that may require significant therapeutic immunosuppression, or are suspected of having TB disease. The choice of which test to use should take into consideration the specificity and sensitivity. Studies on IGRAs show that they are more specific tests than the TST, giving fewer false-positive results, but this cannot be generalised as the majority of IGRA studies in children have been conducted in high-income countries and extrapolation to low- and middle-income settings with high background TBI rates may not be appropriate [76]. However, IGRAs have little advantage over the TST in sensitivity, and both methods are less performant in immunocompromised children. In high income settings, IGRAs are now the preferred test for immunocompetent children ≥5 years of age who have received the BCG vaccine as they provide enhanced specificity over the TST. TST has been recommended as the standard of care immunodiagnostic test in children <5 years of age by many experts [77,78,79]. Use of an IGRA in conjunction with TST has been advocated by some experts to increase the diagnostic sensitivity in this age group [80,81]. Another advantage of IGRA over TST is the shorter time interval between exposure and positivity (4 to 7 weeks vs. 2 to 12 weeks) [82,83]. Systematic reviews have suggested that IGRA performance differs in high- versus low-TB and HIV incidence settings, with relatively lower sensitivity in high TB incidence settings [84]. Additionally, IGRAs are more costly and more technically complex to perform than the TST, which is a major limitation for many high TB incidence and resource limited countries [85]. Although the basic cost of the TST is much lower compared with IGRAs, the other costs associated with the need to assess the tuberculin response at 48–72 h, both in terms of direct (transport for patients) and indirect (time for patients and health personnel) expenditures, and the conditions for the use and storage of tuberculin add to the limitation of its use [86].
The WHO recommends TBI testing whenever feasible, using either TST or IGRA independently to identify persons at highest risk for developing active TB with a preference for the TST in children less than two years of age and settings with poor laboratory infrastructure and for IGRA in persons who have received BCG vaccine and in groups that are unlikely or unable to return for TST reading [59]. This recommendation applies to all settings regardless of TB incidence threshold with implementation considerations for each setting [51]. However, in resource limited countries with an estimated TB incidence greater than 100 per 100,000 population this recommendation must take into account the operational constraints related to the availability and use of the TST and the IGRA. Therefore, considering the evidence of the benefits outweighs the harm in children and adolescents at higher risks of developing TB (children and adolescents living with HIV and child household contacts aged <5 years), the WHO recommends that in resource limited settings, TBI testing should not be a requirement for initiating TPT, particularly in settings with a high TB incidence [51].

4.3. Recent Developments on TB Infection Diagnosis

New innovative skin tests and IGRAs or in vitro tests for TBI testing with improved predictive values and operational characteristics are under development [87] and some are already on the market (C-Tb (Serum Institute of India, Pune, India); C-TST (formerly known as ESAT6-CFP10 test, Anhui Zhifei Longcom, Anhui, China) and Diaskintest (Generium, Moscow, Russian Federation)) [88,89,90,91]. However, published data in various populations and settings are limited for these new tests. According to a communication from the WHO [91], the new TB antigen-based skin tests (TBST) are as sensitive as TST and IGRA, making them suitable alternatives. The specificity is similar to that of IGRA and better than that of TST, particularly in populations with prior BCG vaccination history [91]. No safety signal was identified; however, regulatory evaluation for the individual products is essential before introduction of these in vivo tests. Where TST is already used, TBST implementation is expected to require some adaptation. Additionally, in many settings, TBST would be cost-saving relative to TST and IGRA. There are few data on the predictive values of these tests or on the efficacy of TBI treatment based on the results of these tests. Further research to address these gaps is needed including a comparison with TST and IGRA [91]. In September 2022, the WHO issued an updated guideline recommending the use of TBSTs for the diagnosis of TBI. Although the data were limited, the WHO supported the extrapolation of the recommendation for children and adolescents aged under 18 years including those living with HIV and those who have been vaccinated with BCG [56].
More research on biomarkers of TBI and early markers of disease development is needed. Recent promising research has reported that M. tuberculosis DNA can be detected in the blood of asymptomatic individuals using PCR methods with the potential to be used as a biomarker of TBI [92,93,94].

5. Management of Tuberculosis Infection

The aim of TBI management is to prevent the progression from TBI to TB disease and diminish the reservoir for future TB cases [50].
Randomised controlled trials have shown that TPT is effective in preventing progression to disease [95]. TB disease must be ruled out before starting TPT [96,97]. Clinical evaluation is important to identify signs and symptoms suggestive of TB and helps to exclude extrapulmonary TB [98], while chest X-rays are important to help ruling out lung parenchymal disease that could be present in asymptomatic child contacts [52]. In many settings, the use of chest X-ray is limited by the unavailability of X-ray machines, and the lack of trained health personnel to interpret radiography images [97]. The WHO therefore recommends ruling out active TB using simple symptom-based screening alone when chest radiography is not available, especially for high risk groups of child contacts <5 years of age and children living with HIV [99]. Although the sensitivity is low, symptom-based screening has a high negative predictive value to rule out active TB in child contacts, especially among those <5 years of age [100]. Computer-aided detection (CAD) technologies use artificial intelligence to detect abnormalities suggestive of intra-thoracic TB from chest X-ray [101]. Recent developments in CAD software combined with portable X-ray machine offer a potential to increase access to radiography for the screening of active TB in limited resource settings [101,102,103]. However, the CAD software would need to identify a different spectrum of radiological abnormalities than those developed for use in adults [104,105], and then performance of the CAD in child TB needs to be evaluated, especially in young children.
Considering the high risk of progression to TB disease in people living with HIV, and considering the treatment residual risk of harms, the WHO recommends TPT in all children aged ≥12 months living with HIV who are considered not to have active TB based on an appropriate clinical evaluation, regardless of TB exposure history and without prior TBI testing if not available [51]. The WHO also recommends TPT for household child and adolescent contacts with evidence of infection after ruling out TB disease by an appropriate clinical evaluation with or without chest X-ray, depending on the availability or according to national guidelines [51].
There are now several effective and safe TPT regimens (Table 3) [106]: daily isoniazid monotherapy for six months (6H), daily rifampicin plus isoniazid for 3 months (3HR), and weekly rifapentine plus isoniazid for 3 months (3HP) [51,107]. The WHO also recommends daily rifampicin monotherapy for 4 months (4R) [51]. The recently published consolidated guidelines on TPT (2020) recommend a one-month daily isoniazid-rifapentine (1HP) regimen only in individuals ≥13 years old. A recent observational cohort study has shown a good safety and feasibility of 1HP in children <13 years of age in a low-resource and HIV prevalence setting in South East Asia [108]. In settings with high TB transmission, the WHO also recommends a daily isoniazid monotherapy for thirty-six months (36H) for adolescents living with HIV. Based on the pharmacokinetic/pharmacodynamic studies in children and the safety data, the WHO recommends an increased dose of isoniazid and rifampicin in children aged <10 years (10 and 15 mg/kg/day) compared to children ≥10 years and adolescents (5 and 10 mg/kg/day). Medical providers for children and adolescents should be familiar with all of the regimens available to treat TBI to select the optimal regimen. The WHO-recommended regimens are known have similar safety and effectiveness, but the preferred characteristics include low cost, acceptability, and ease of administration to young children to result in a high completion rate [52,109,110]. Currently, 3RH is often a preferred choice for young child contacts because there is a child-friendly, dispersible and fruit-flavoured combination formulation available. The use of this formulation for 3RH under programmatic conditions in three African countries was associated with very high initiation and completion rates [111]. In contrast, the use of 3HP is still limited in young child contacts because rifapentine is still not recommended for children of less than 2 years and the current formulations require large numbers of tablets.
Despite the recent advances in the development of shorter TPT and the pragmatic WHO approach for high TB incidence and resource limited countries to reduce barriers such as chest X-ray to rule out TB disease and TBI testing before TPT initiation, there is still a low uptake of TPT among child contacts and children and adolescents living with HIV [113]. The Global TB Report 2022 shows slow progress in TPT coverage [114]. Globally, in 2021 we have reached 40% of the 5-year target in children aged under 5 years and only 3.0% of the 5-year target in older age groups for the period 2018–2022 [114]. Community-based TB household contact tracing and management approaches could be a good strategy to increase contact tracing, TB screening, and TPT management in children and adolescent household TB contacts [115,116,117]. The WHO recommends decentralised and family-centred, integrated services in children and adolescents exposed to TB [112].

6. Conclusions

Systematic TB screening of child contacts and children living with HIV including adolescents is essential to early detect and treat those with TB and prevent others from develop TB. This is likely to contribute to reduce the burden of TB. Any innovation that is adapted to the limited resources of most high TB incidence countries will support these efforts but the lack of tools such as chest X-ray and TBI testing should not be a barrier to prescribe TPT to these children. Innovative decentralised, child and adolescent centred approach are also essential to ensure acceptability and access to treatment.

Author Contributions

Conceptualisation, B.T.Y., B.K.T., S.M.G. and M.B.; Writing—Original Draft Preparation, B.T.Y.; Writing—Review Editing B.T.Y., B.K.T., S.M.G. and M.B. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no funding.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Morrison, J.; Pai, M.; Hopewell, P.C. Tuberculosis and Latent Tuberculosis Infection in Close Contacts of People with Pulmonary Tuberculosis in Low-Income and Middle-Income Countries: A Systematic Review and Meta-Analysis. Lancet Infect. Dis. 2008, 8, 359–368. [Google Scholar] [CrossRef]
  2. World Health Organization. Global Tuberculosis Report 2021; World Health Organization: Geneva, Switzerland, 2021. [Google Scholar]
  3. Martinez, L.; Cords, O.; Horsburgh, C.R.; Andrews, J.R. The Risk of Tuberculosis in Children After Close Exposure: An Individual-Participant Meta-Analysis Including 137,647 Children from 46 Cohort Studies. Lancet Lond. Engl. 2020, 395, 973–984. [Google Scholar] [CrossRef] [Green Version]
  4. Yerramsetti, S.; Cohen, T.; Atun, R.; Menzies, N.A. Global Estimates of Paediatric Tuberculosis Incidence in 2013–19: A Mathematical Modelling Analysis. Lancet Glob. Health 2022, 10, e207–e215. [Google Scholar] [CrossRef]
  5. World Health Organization. Global Tuberculosis Report 2020; World Health Organization: Geneva, Switzerland, 2020. [Google Scholar]
  6. Migliori, G.B.; Ong, C.W.M.; Petrone, L.; D’Ambrosio, L.; Centis, R.; Goletti, D. The Definition of Tuberculosis Infection Based on the Spectrum of Tuberculosis Disease. Breathe 2021, 17, 210079. [Google Scholar] [CrossRef]
  7. Vynnycky, E.; Fine, P.E. Lifetime Risks, Incubation Period, and Serial Interval of Tuberculosis. Am. J. Epidemiol. 2000, 152, 247–263. [Google Scholar] [CrossRef]
  8. Comstock, G.W.; Livesay, V.T.; Woolpert, S.F. The Prognosis of a Positive Tuberculin Reaction in Childhood and Adolescence. Am. J. Epidemiol. 1974, 99, 131–138. [Google Scholar] [CrossRef]
  9. Marais, B.J.; Gie, R.P.; Schaaf, H.S.; Hesseling, A.C.; Obihara, C.C.; Starke, J.J.; Enarson, D.A.; Donald, P.R.; Beyers, N. The Natural History of Childhood Intra-Thoracic Tuberculosis: A Critical Review of Literature from the Pre-Chemotherapy Era. Int. J. Tuberc. Lung Dis. Off. J. Int. Union Tuberc. Lung Dis. 2004, 8, 392–402. [Google Scholar]
  10. Ahmad, S. Pathogenesis, Immunology, and Diagnosis of Latent Mycobacterium tuberculosis Infection. Clin. Dev. Immunol. 2011, 2011, 814943. [Google Scholar] [CrossRef] [Green Version]
  11. Getahun, H.; Matteelli, A.; Abubakar, I.; Aziz, M.A.; Baddeley, A.; Barreira, D.; Den Boon, S.; Borroto Gutierrez, S.M.; Bruchfeld, J.; Burhan, E.; et al. Management of Latent Mycobacterium tuberculosis Infection: WHO Guidelines for Low Tuberculosis Burden Countries. Eur. Respir. J. 2015, 46, 1563–1576. [Google Scholar] [CrossRef] [Green Version]
  12. Seddon, J.A.; Whittaker, E.; Kampmann, B.; Lewinsohn, D.A.; Osman, M.; Hesseling, A.C.; Rustomjee, R.; Amanullah, F. The Evolving Research Agenda for Paediatric Tuberculosis Infection. Lancet Infect. Dis. 2019, 19, e322–e329. [Google Scholar] [CrossRef] [Green Version]
  13. Salgame, P.; Geadas, C.; Collins, L.; Jones-López, E.; Ellner, J.J. Latent Tuberculosis Infection--Revisiting and Revising Concepts. Tuberc. Edinb. Scotl. 2015, 95, 373–384. [Google Scholar] [CrossRef] [PubMed]
  14. Yuen, C.M.; Jenkins, H.E.; Chang, R.; Mpunga, J.; Becerra, M.C. Two Methods for Setting Child-Focused Tuberculosis Care Targets. Public Health Action 2016, 6, 83–96. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  15. Dodd, P.J.; Gardiner, E.; Coghlan, R.; Seddon, J.A. Burden of Childhood Tuberculosis in 22 High-Burden Countries: A Mathematical Modelling Study. Lancet Glob. Health 2014, 2, e453–e459. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  16. Mahomed, H.; Hawkridge, T.; Verver, S.; Geiter, L.; Hatherill, M.; Abrahams, D.-A.; Ehrlich, R.; Hanekom, W.A.; Hussey, G.D. SATVI Adolescent Study Team Predictive Factors for Latent Tuberculosis Infection among Adolescents in a High-Burden Area in South Africa. Int. J. Tuberc. Lung Dis. 2011, 15, 331–336. [Google Scholar] [PubMed]
  17. Mumpe-Mwanja, D.; Verver, S.; Yeka, A.; Etwom, A.; Waako, J.; Ssengooba, W.; Matovu, J.K.; Wanyenze, R.K.; Musoke, P.; Mayanja-Kizza, H. Prevalence and Risk Factors of Latent Tuberculosis among Adolescents in Rural Eastern Uganda. Afr. Health Sci. 2015, 15, 851–860. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  18. Reichler, M.R.; Khan, A.; Yuan, Y.; Chen, B.; McAuley, J.; Mangura, B.; Sterling, T.R. Tuberculosis Epidemiologic Studies Consortium Task Order 2 Team Duration of Exposure Among Close Contacts of Patients With Infectious Tuberculosis and Risk of Latent Tuberculosis Infection. Clin. Infect. Dis. 2020, 71, 1627–1634. [Google Scholar] [CrossRef]
  19. Seddon, J.A.; Shingadia, D. Epidemiology and Disease Burden of Tuberculosis in Children: A Global Perspective. Infect. Drug Resist. 2014, 7, 153–165. [Google Scholar] [CrossRef] [Green Version]
  20. Acuña-Villaorduña, C.; Jones-Lopez, E.; Fregona, G.; Marques-Rodriguez, P.; Geadas, C.; Hadad, D.J.; White, L.F.; Molina, L.P.D.; Vinhas, S.; Gaeddert, M.; et al. Intensity of Exposure to Pulmonary Tuberculosis Determines Risk of Tuberculosis Infection and Disease. Eur. Respir. J. 2018, 51, 1701578. [Google Scholar] [CrossRef]
  21. Narasimhan, P.; Wood, J.; MacIntyre, C.R.; Mathai, D. Risk Factors for Tuberculosis. Pulm. Med. 2013, 2013, 828939. [Google Scholar] [CrossRef]
  22. Long, R.; Divangahi, M.; Schwartzman, K. Chapter 2: Transmission and Pathogenesis of Tuberculosis. Can. J. Respir. Crit. Care Sleep Med. 2022, 6, 22–32. [Google Scholar] [CrossRef]
  23. Adetifa, I.M.O.; Kendall, L.; Donkor, S.; Lugos, M.D.; Hammond, A.S.; Owiafe, P.K.; Ota, M.O.C.; Brookes, R.H.; Hill, P.C. Mycobacterium tuberculosis Infection in Close Childhood Contacts of Adults with Pulmonary Tuberculosis Is Increased by Secondhand Exposure to Tobacco. Am. J. Trop. Med. Hyg. 2017, 97, 429–432. [Google Scholar] [CrossRef] [PubMed]
  24. Martinez, L.; Shen, Y.; Mupere, E.; Kizza, A.; Hill, P.C.; Whalen, C.C. Transmission of Mycobacterium tuberculosis in Households and the Community: A Systematic Review and Meta-Analysis. Am. J. Epidemiol. 2017, 185, 1327–1339. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  25. Kontturi, A.; Kekomäki, S.; Ruotsalainen, E.; Salo, E. Tuberculosis Contact Investigation Results among Paediatric Contacts in Low-Incidence Settings in Finland. Eur. J. Pediatr. 2021, 180, 2185–2192. [Google Scholar] [CrossRef] [PubMed]
  26. Triasih, R.; Rutherford, M.; Lestari, T.; Utarini, A.; Robertson, C.F.; Graham, S.M. Contact Investigation of Children Exposed to Tuberculosis in South East Asia: A Systematic Review. J. Trop. Med. 2011, 2012, e301808. [Google Scholar] [CrossRef] [PubMed]
  27. Ghanaiee, R.M.; Karimi, A.; Hoseini-Alfatemi, S.M.; Seddon, J.A.; Nasehi, M.; Tabarsi, P.; Fahimzad, S.A.; Armin, S.; Akbarizadeh, J.; Rahimarbabi, E.; et al. Household Contact Investigation for the Detection of Active Tuberculosis and Latent Tuberculosis: A Comprehensive Evaluation in Two High-Burden Provinces in Iran. New Microbes New Infect. 2022, 45, 100958. [Google Scholar] [CrossRef]
  28. Karbito, K.; Susanto, H.; Adi, M.S.; Sulistiyani, S.; Handayani, O.W.K.; Sofro, M.A.U. Latent Tuberculosis Infection in Family Members in Household Contact with Active Tuberculosis Patients in Semarang City, Central Java, Indonesia. J. Public Health Afr. 2022, 13, 2157. [Google Scholar] [CrossRef]
  29. Krishnamoorthy, Y.; Ezhumalai, K.; Murali, S.; Rajaa, S.; Jose, M.; Sathishkumar, A.; Soundappan, G.; Horsburgh, C.; Hochberg, N.; Johnson, W.E.; et al. Prevalence and Risk Factors Associated with Latent Tuberculosis Infection among Household Contacts of Smear Positive Pulmonary Tuberculosis Patients in South India. Trop. Med. Int. Health 2021, 26, 1645–1651. [Google Scholar] [CrossRef]
  30. Wood, R.; Liang, H.; Wu, H.; Middelkoop, K.; Oni, T.; Rangaka, M.X.; Wilkinson, R.J.; Bekker, L.-G.; Lawn, S.D. Changing Prevalence of TB Infection with Increasing Age in High TB Burden Townships in South Africa. Int. J. Tuberc. Lung Dis. Off. J. Int. Union Tuberc. Lung Dis. 2010, 14, 406–412. [Google Scholar]
  31. Andrews, J.R.; Morrow, C.; Walensky, R.P.; Wood, R. Integrating Social Contact and Environmental Data in Evaluating Tuberculosis Transmission in a South African Township. J. Infect. Dis. 2014, 210, 597–603. [Google Scholar] [CrossRef] [Green Version]
  32. Fox, G.J.; Barry, S.E.; Britton, W.J.; Marks, G.B. Contact Investigation for Tuberculosis: A Systematic Review and Meta-Analysis. Eur. Respir. J. 2013, 41, 140–156. [Google Scholar] [CrossRef]
  33. Whittaker, E.; López-Varela, E.; Broderick, C.; Seddon, J.A. Examining the Complex Relationship Between Tuberculosis and Other Infectious Diseases in Children. Front. Pediatr. 2019, 7, 233. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  34. Mastrolia, M.V.; Sollai, S.; Totaro, C.; Putignano, P.; de Martino, M.; Galli, L.; Chiappini, E. Utility of Tuberculin Skin Test and IGRA for Tuberculosis Screening in Internationally Adopted Children: Retrospective Analysis from a Single Center in Florence, Italy. Travel Med. Infect. Dis. 2019, 28, 64–67. [Google Scholar] [CrossRef] [PubMed]
  35. Huang, C.-C.; Tchetgen, E.T.; Becerra, M.C.; Cohen, T.; Galea, J.; Calderon, R.; Yataco, R.; Contreras, C.; Zhang, Z.-B.; Lecca, L.; et al. Cigarette Smoking among Tuberculosis Patients Increases Risk of Transmission to Child Contacts. Int. J. Tuberc. Lung Dis. Off. J. Int. Union Tuberc. Lung Dis. 2014, 18, 1285–1291. [Google Scholar] [CrossRef] [PubMed]
  36. Lindsay, R.P.; Shin, S.S.; Garfein, R.S.; Rusch, M.L.A.; Novotny, T.E. The Association between Active and Passive Smoking and Latent Tuberculosis Infection in Adults and Children in the United States: Results from NHANES. PLoS ONE 2014, 9, e93137. [Google Scholar] [CrossRef]
  37. Lin, H.-H.; Ezzati, M.; Murray, M. Tobacco Smoke, Indoor Air Pollution and Tuberculosis: A Systematic Review and Meta-Analysis. PLoS Med. 2007, 4, e20. [Google Scholar] [CrossRef]
  38. Bates, M.N.; Khalakdina, A.; Pai, M.; Chang, L.; Lessa, F.; Smith, K.R. Risk of Tuberculosis from Exposure to Tobacco Smoke: A Systematic Review and Meta-Analysis. Arch. Intern. Med. 2007, 167, 335–342. [Google Scholar] [CrossRef] [Green Version]
  39. van Zyl Smit, R.N.; Pai, M.; Yew, W.W.; Leung, C.C.; Zumla, A.; Bateman, E.D.; Dheda, K. Global Lung Health: The Colliding Epidemics of Tuberculosis, Tobacco Smoking, HIV and COPD. Eur. Respir. J. 2010, 35, 27. [Google Scholar] [CrossRef]
  40. Blount, R.J.; Phan, H.; Trinh, T.; Dang, H.; Merrifield, C.; Zavala, M.; Zabner, J.; Comellas, A.P.; Stapleton, E.M.; Segal, M.R.; et al. Indoor Air Pollution and Susceptibility to Tuberculosis Infection in Urban Vietnamese Children. Am. J. Respir. Crit. Care Med. 2021, 204, 1211–1221. [Google Scholar] [CrossRef]
  41. Trunz, B.B.; Fine, P.; Dye, C. Effect of BCG Vaccination on Childhood Tuberculous Meningitis and Miliary Tuberculosis Worldwide: A Meta-Analysis and Assessment of Cost-Effectiveness. Lancet Lond. Engl. 2006, 367, 1173–1180. [Google Scholar] [CrossRef]
  42. Soysal, A.; Millington, K.A.; Bakir, M.; Dosanjh, D.; Aslan, Y.; Deeks, J.J.; Efe, S.; Staveley, I.; Ewer, K.; Lalvani, A. Effect of BCG Vaccination on Risk of Mycobacterium tuberculosis Infection in Children with Household Tuberculosis Contact: A Prospective Community-Based Study. Lancet Lond. Engl. 2005, 366, 1443–1451. [Google Scholar] [CrossRef]
  43. Roy, A.; Eisenhut, M.; Harris, R.J.; Rodrigues, L.C.; Sridhar, S.; Habermann, S.; Snell, L.; Mangtani, P.; Adetifa, I.; Lalvani, A.; et al. Effect of BCG Vaccination against Mycobacterium tuberculosis Infection in Children: Systematic Review and Meta-Analysis. BMJ 2014, 349, g4643. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  44. Katelaris, A.L.; Jackson, C.; Southern, J.; Gupta, R.K.; Drobniewski, F.; Lalvani, A.; Lipman, M.; Mangtani, P.; Abubakar, I. Effectiveness of BCG Vaccination Against Mycobacterium tuberculosis Infection in Adults: A Cross-Sectional Analysis of a UK-Based Cohort. J. Infect. Dis. 2020, 221, 146–155. [Google Scholar] [CrossRef] [PubMed]
  45. Foster, M.; Hill, P.C.; Setiabudiawan, T.P.; Koeken, V.A.C.M.; Alisjahbana, B.; van Crevel, R. BCG-induced Protection against Mycobacterium tuberculosis Infection: Evidence, Mechanisms, and Implications for Next-generation Vaccines. Immunol. Rev. 2021, 301, 122–144. [Google Scholar] [CrossRef] [PubMed]
  46. Martinez, L.; Cords, O.; Liu, Q.; Acuna-Villaorduna, C.; Bonnet, M.; Fox, G.J.; Carvalho, A.C.C.; Chan, P.-C.; Croda, J.; Hill, P.C.; et al. Infant BCG Vaccination and Risk of Pulmonary and Extrapulmonary Tuberculosis throughout the Life Course: A Systematic Review and Individual Participant Data Meta-Analysis. Lancet Glob. Health 2022, 10, e1307–e1316. [Google Scholar] [CrossRef] [PubMed]
  47. Whitlow, E.; Mustafa, A.S.; Hanif, S.N.M. An Overview of the Development of New Vaccines for Tuberculosis. Vaccines 2020, 8, 586. [Google Scholar] [CrossRef]
  48. Serum Institute of India Pvt. Ltd. A Multicenter, Phase III, Double-Blind, Randomized, Active-Controlled Study to Evaluate the Efficacy and Safety of VPM1002 in Comparison to BCG in Prevention of Mycobacterium tuberculosis Infection in Newborn Infants. 2021. Available online: https://clinicaltrials.gov/ct2/show/NCT04351685 (accessed on 9 November 2022).
  49. Biofabri, S.L. Randomised, Double-Blind, Controlled Phase 3 Trial to Evaluate the Efficacy, Safety and Immunogenicity of MTBVAC Administered in Healthy HIV Unexposed and HIV Exposed Uninfected Newborns in Tuberculosis-Endemic Regions of Sub-Saharan Africa. 2022. Available online: https://clinicaltrials.gov/ct2/show/NCT04975178 (accessed on 9 November 2022).
  50. Pipeline of Vaccines. TBVI. Available online: https://www.tbvi.eu/what-we-do/pipeline-of-vaccines/ (accessed on 10 November 2022).
  51. World Health Organization. WHO Consolidated Guidelines on Tuberculosis: Tuberculosis Preventive Treatment: Module 1: Prevention; WHO Guidelines Approved by the Guidelines Review Committee; World Health Organization: Geneva, Switzerland, 2020; ISBN 978-92-4-000150-3. [Google Scholar]
  52. Nolt, D.; Starke, J.R.; Committee on Infectious Diseases. Tuberculosis Infection in Children and Adolescents: Testing and Treatment. Pediatrics 2021, 148, e2021054663. [Google Scholar] [CrossRef]
  53. Diel, R.; Loddenkemper, R.; Zellweger, J.-P.; Sotgiu, G.; D’Ambrosio, L.; Centis, R.; van der Werf, M.J.; Dara, M.; Detjen, A.; Gondrie, P.; et al. Old Ideas to Innovate Tuberculosis Control: Preventive Treatment to Achieve Elimination. Eur. Respir. J. 2013, 42, 785–801. [Google Scholar] [CrossRef] [Green Version]
  54. Mack, U.; Migliori, G.B.; Sester, M.; Rieder, H.L.; Ehlers, S.; Goletti, D.; Bossink, A.; Magdorf, K.; Hölscher, C.; Kampmann, B.; et al. LTBI: Latent Tuberculosis Infection or Lasting Immune Responses to M. Tuberculosis? A TBNET Consensus Statement. Eur. Respir. J. 2009, 33, 956–973. [Google Scholar] [CrossRef] [Green Version]
  55. Shah, M.; Dorman, S.E. Latent Tuberculosis Infection. N. Engl. J. Med. 2021, 385, 2271–2280. [Google Scholar] [CrossRef]
  56. World Health Organization. WHO Consolidated Guidelines on Tuberculosis: Module 3: Diagnosis: Tests for TB Infection; WHO Guidelines Approved by the Guidelines Review Committee; World Health Organization: Geneva, Switzerland, 2022; ISBN 978-92-4-005608-4. [Google Scholar]
  57. Yang, H.; Kruh-Garcia, N.A.; Dobos, K.M. Purified Protein Derivatives of Tuberculin--Past, Present, and Future. FEMS Immunol. Med. Microbiol. 2012, 66, 273–280. [Google Scholar] [CrossRef] [Green Version]
  58. Huebner, R.E.; Schein, M.F.; Bass, J.B. The Tuberculin Skin Test. Clin. Infect. Dis. Off. Publ. Infect. Dis. Soc. Am. 1993, 17, 968–975. [Google Scholar] [CrossRef] [PubMed]
  59. World Health Organization. WHO Operational Handbook on Tuberculosis: Module 1: Prevention: Tuberculosis Preventive Treatment; World Health Organization: Geneva, Switzerland, 2020; ISBN 978-92-4-000290-6. [Google Scholar]
  60. Seddon, J.A.; Paton, J.; Nademi, Z.; Keane, D.; Williams, B.; Williams, A.; Welch, S.B.; Liebeschutz, S.; Riddell, A.; Bernatoniene, J.; et al. The Impact of BCG Vaccination on Tuberculin Skin Test Responses in Children Is Age Dependent: Evidence to Be Considered When Screening Children for Tuberculosis Infection. Thorax 2016, 71, 932–939. [Google Scholar] [CrossRef] [PubMed]
  61. Watkins, R.E.; Brennan, R.; Plant, A.J. Tuberculin Reactivity and the Risk of Tuberculosis: A Review. Int. J. Tuberc. Lung Dis. 2000, 4, 895–903. [Google Scholar] [PubMed]
  62. Andersen, P.; Munk, M.E.; Pollock, J.M.; Doherty, T.M. Specific Immune-Based Diagnosis of Tuberculosis. Lancet Lond. Engl. 2000, 356, 1099–1104. [Google Scholar] [CrossRef]
  63. Gajurel, K.; Subramanian, A.K. False-Positive QuantiFERON TB-Gold Test Due to Mycobacterium Gordonae. Diagn. Microbiol. Infect. Dis. 2016, 84, 315–317. [Google Scholar] [CrossRef]
  64. Okimoto, N.; Nanba, F.; Kurihara, T.; Miyashita, N. The positive response rate with QuantiFERON-TB GOLD In-Tube in patients with Mycobacterium avium complex. Kekkaku 2012, 87, 337–339. [Google Scholar]
  65. Quintana-Ortega, C.; Mendez-Echevarria, A.; del Rosal, T.; Gonzalez-Muñoz, M.; Baquero-Artigao, F. False-Positive Results of Quantiferon-Tb-Gold Assay in Children. Pediatr. Infect. Dis. J. 2020, 39, 620–623. [Google Scholar] [CrossRef]
  66. Diel, R.; Loddenkemper, R.; Meywald-Walter, K.; Gottschalk, R.; Nienhaus, A. Comparative Performance of Tuberculin Skin Test, QuantiFERON-TB-Gold In Tube Assay, and T-Spot.TB Test in Contact Investigations for Tuberculosis. Chest 2009, 135, 1010–1018. [Google Scholar] [CrossRef]
  67. Spicer, K.B.; Turner, J.; Wang, S.-H.; Koranyi, K.; Powell, D.A. Tuberculin Skin Testing and T-SPOT.TB in Internationally Adopted Children. Pediatr. Infect. Dis. J. 2015, 34, 599–603. [Google Scholar] [CrossRef]
  68. Elliot, C.; Marais, B.; Williams, P.; Joshua, P.; Towle, S.; Hart, G.; Zwi, K. Tuberculin Skin Test versus Interferon-Gamma Release Assay in Refugee Children: A Retrospective Cohort Study. J. Paediatr. Child Health 2018, 54, 834–839. [Google Scholar] [CrossRef]
  69. Muñoz, L.; Santin, M.; Alcaide, F.; Ruíz-Serrano, M.J.; Gijón, P.; Bermúdez, E.; Domínguez-Castellano, A.; Navarro, M.D.; Ramírez, E.; Pérez-Escolano, E.; et al. QuantiFERON-TB Gold In-Tube as a Confirmatory Test for Tuberculin Skin Test in Tuberculosis Contact Tracing: A Noninferiority Clinical Trial. Clin. Infect. Dis. Off. Publ. Infect. Dis. Soc. Am. 2018, 66, 396–403. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  70. Mr, B.; Ae, Z.; Hf, E.-S.; Ra, R.; Na, K.; Ek, A.; Mz, M.; Nm, A. Evaluation of the Immune Response to Interferon Gamma Release Assay and Tuberculin Skin Test Among BCG Vaccinated Children in East of Egypt: A Cross-Sectional Study. Medicine (Baltimore) 2016, 95, e3470. [Google Scholar] [CrossRef]
  71. Haustein, T.; Ridout, D.A.; Hartley, J.C.; Thaker, U.; Shingadia, D.; Klein, N.J.; Novelli, V.; Dixon, G.L.J. The Likelihood of an Indeterminate Test Result from a Whole-Blood Interferon-Gamma Release Assay for the Diagnosis of Mycobacterium tuberculosis Infection in Children Correlates with Age and Immune Status. Pediatr. Infect. Dis. J. 2009, 28, 669–673. [Google Scholar] [CrossRef] [PubMed]
  72. Tebruegge, M.; de Graaf, H.; Sukhtankar, P.; Elkington, P.; Marshall, B.; Schuster, H.; Patel, S.; Faust, S.N. Extremes of Age Are Associated with Indeterminate QuantiFERON-TB Gold Assay Results. J. Clin. Microbiol. 2014, 52, 2694–2697. [Google Scholar] [CrossRef] [Green Version]
  73. Siegel, S.A.R.; Cavanaugh, M.; Ku, J.H.; Kawamura, L.M.; Winthrop, K.L. Specificity of QuantiFERON-TB Plus, a New-Generation Interferon Gamma Release Assay. J. Clin. Microbiol. 2018, 56, e00629-18. [Google Scholar] [CrossRef] [Green Version]
  74. Shafeque, A.; Bigio, J.; Hogan, C.A.; Pai, M.; Banaei, N. Fourth-Generation QuantiFERON-TB Gold Plus: What Is the Evidence? J. Clin. Microbiol. 2020, 58, e01950-19. [Google Scholar] [CrossRef]
  75. Meier, N.R.; Volken, T.; Geiger, M.; Heininger, U.; Tebruegge, M.; Ritz, N. Risk Factors for Indeterminate Interferon-Gamma Release Assay for the Diagnosis of Tuberculosis in Children—A Systematic Review and Meta-Analysis. Front. Pediatr. 2019, 7, 208. [Google Scholar] [CrossRef] [Green Version]
  76. World Health Organization. Use of Tuberculosis Interferon-Gamma Release Assays (IGRAs) in Low- and Middle- Income Countries: Policy Statement; WHO Guidelines Approved by the Guidelines Review Committee; World Health Organization: Geneva, Switzerland, 2011; ISBN 978-92-4-150267-2. [Google Scholar]
  77. Mandalakas, A.M.; Detjen, A.K.; Hesseling, A.C.; Benedetti, A.; Menzies, D. Interferon-Gamma Release Assays and Childhood Tuberculosis: Systematic Review and Meta-Analysis. Int. J. Tuberc. Lung Dis. Off. J. Int. Union Tuberc. Lung Dis. 2011, 15, 1018–1032. [Google Scholar] [CrossRef]
  78. Kay, A.W.; Islam, S.M.; Wendorf, K.; Westenhouse, J.; Barry, P.M. Interferon-γ Release Assay Performance for Tuberculosis in Childhood. Pediatrics 2018, 141, e20173918. [Google Scholar] [CrossRef] [Green Version]
  79. Herrera, V.; Perry, S.; Parsonnet, J.; Banaei, N. Clinical Application and Limitations of Interferon-Gamma Release Assays for the Diagnosis of Latent Tuberculosis Infection. Clin. Infect. Dis. Off. Publ. Infect. Dis. Soc. Am. 2011, 52, 1031–1037. [Google Scholar] [CrossRef] [Green Version]
  80. Santin, M.; García-García, J.-M.; Domínguez, J. Guidelines for the use of interferon-γ release assays in the diagnosis of tuberculosis infection. Enfermedades Infecc. Microbiol. Clínica 2016, 34, 303.e1–303.e13. [Google Scholar] [CrossRef] [PubMed]
  81. Mazurek, G.H.; Jereb, J.; Vernon, A.; LoBue, P.; Goldberg, S.; Castro, K.; IGRA Expert Committee. Centers for Disease Control and Prevention (CDC) Updated Guidelines for Using Interferon Gamma Release Assays to Detect Mycobacterium tuberculosis Infection - United States, 2010. MMWR Recomm. Rep. Morb. Mortal. Wkly. Rep. Recomm. Rep. 2010, 59, 1–25. [Google Scholar]
  82. American Thoracic Society. Targeted Tuberculin Testing and Treatment of Latent Tuberculosis Infection. Am. J. Respir. Crit. Care Med. 2000, 161, S221–S247. [Google Scholar] [CrossRef] [PubMed]
  83. Cruz, A.T.; Starke, J.R. Window Period Prophylaxis for Children Exposed to Tuberculosis, Houston, Texas, USA, 2007–2017. Emerg. Infect. Dis. 2019, 25, 523–528. [Google Scholar] [CrossRef]
  84. Connell, T.G.; Ritz, N.; Paxton, G.A.; Buttery, J.P.; Curtis, N.; Ranganathan, S.C. A Three-Way Comparison of Tuberculin Skin Testing, QuantiFERON-TB Gold and T-SPOT.TB in Children. PLoS ONE 2008, 3, e2624. [Google Scholar] [CrossRef] [Green Version]
  85. Faust, L.; Ruhwald, M.; Schumacher, S.; Pai, M. How Are High Burden Countries Implementing Policies and Tools for Latent Tuberculosis Infection? A Survey of Current Practices and Barriers. Health Sci. Rep. 2020, 3, e158. [Google Scholar] [CrossRef]
  86. Lambert, L.; Rajbhandary, S.; Quails, N.; Budnick, L.; Catanzaro, A.; Cook, S.; Daniels-Cuevas, L.; Garber, E.; Reves, R. Costs of Implementing and Maintaining a Tuberculin Skin Test Program in Hospitals and Health Departments. Infect. Control Hosp. Epidemiol. 2003, 24, 814–820. [Google Scholar] [CrossRef] [Green Version]
  87. Hamada, Y.; Cirillo, D.M.; Matteelli, A.; Penn-Nicholson, A.; Rangaka, M.X.; Ruhwald, M. Tests for Tuberculosis Infection: Landscape Analysis. Eur. Respir. J. 2021, 58, 2100167. [Google Scholar] [CrossRef]
  88. Li, F.; Xu, M.; Qin, C.; Xia, L.; Xiong, Y.; Xi, X.; Fan, X.; Gu, J.; Pu, J.; Wu, Q.; et al. Recombinant Fusion ESAT6-CFP10 Immunogen as a Skin Test Reagent for Tuberculosis Diagnosis: An Open-Label, Randomized, Two-Centre Phase 2a Clinical Trial. Clin. Microbiol. Infect. Off. Publ. Eur. Soc. Clin. Microbiol. Infect. Dis. 2016, 22, 889.e9–889.e16. [Google Scholar] [CrossRef] [Green Version]
  89. Ruhwald, M.; Aggerbeck, H.; Gallardo, R.V.; Hoff, S.T.; Villate, J.I.; Borregaard, B.; Martinez, J.A.; Kromann, I.; Penas, A.; Anibarro, L.L.; et al. Safety and Efficacy of the C-Tb Skin Test to Diagnose Mycobacterium tuberculosis Infection, Compared with an Interferon γ Release Assay and the Tuberculin Skin Test: A Phase 3, Double-Blind, Randomised, Controlled Trial. Lancet Respir. Med. 2017, 5, 259–268. [Google Scholar] [CrossRef]
  90. Aggerbeck, H.; Ruhwald, M.; Hoff, S.T.; Borregaard, B.; Hellstrom, E.; Malahleha, M.; Siebert, M.; Gani, M.; Seopela, V.; Diacon, A.; et al. C-Tb Skin Test to Diagnose Mycobacterium tuberculosis Infection in Children and HIV-Infected Adults: A Phase 3 Trial. PLoS ONE 2018, 13, e0204554. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  91. World Health Organization. Rapid Communication: TB Antigen-Based Skin Tests for the Diagnosis of TB Infection; World Health Organization: Geneva, Switzerland, 2022. [Google Scholar]
  92. Belay, M.; Tulu, B.; Younis, S.; Jolliffe, D.A.; Tayachew, D.; Manwandu, H.; Abozen, T.; Tirfie, E.A.; Tegegn, M.; Zewude, A.; et al. Detection of Mycobacterium tuberculosis Complex DNA in CD34-Positive Peripheral Blood Mononuclear Cells of Asymptomatic Tuberculosis Contacts: An Observational Study. Lancet Microbe 2021, 2, e267–e275. [Google Scholar] [CrossRef] [PubMed]
  93. Verma, R.; Swift, B.M.C.; Handley-Hartill, W.; Lee, J.K.; Woltmann, G.; Rees, C.E.D.; Haldar, P. A Novel, High-Sensitivity, Bacteriophage-Based Assay Identifies Low-Level Mycobacterium tuberculosis Bacteremia in Immunocompetent Patients With Active and Incipient Tuberculosis. Clin. Infect. Dis. Off. Publ. Infect. Dis. Soc. Am. 2020, 70, 933–936. [Google Scholar] [CrossRef] [PubMed]
  94. Tornack, J.; Reece, S.T.; Bauer, W.M.; Vogelzang, A.; Bandermann, S.; Zedler, U.; Stingl, G.; Kaufmann, S.H.E.; Melchers, F. Human and Mouse Hematopoietic Stem Cells Are a Depot for Dormant Mycobacterium tuberculosis. PLoS ONE 2017, 12, e0169119. [Google Scholar] [CrossRef]
  95. Cruz, A.T.; Starke, J.R. Completion Rate and Safety of Tuberculosis Infection Treatment With Shorter Regimens. Pediatrics 2018, 141, e20172838. [Google Scholar] [CrossRef] [Green Version]
  96. Piccazzo, R.; Paparo, F.; Garlaschi, G. Diagnostic Accuracy of Chest Radiography for the Diagnosis of Tuberculosis (TB) and Its Role in the Detection of Latent TB Infection: A Systematic Review. J. Rheumatol. Suppl. 2014, 91, 32–40. [Google Scholar] [CrossRef] [Green Version]
  97. Van’t Hoog, A.; Viney, K.; Biermann, O.; Yang, B.; Leeflang, M.M.; Langendam, M.W. Symptom- and Chest-Radiography Screening for Active Pulmonary Tuberculosis in HIV-Negative Adults and Adults with Unknown HIV Status. Cochrane Database Syst. Rev. 2022, 3, CD010890. [Google Scholar] [CrossRef]
  98. Perez-Velez, C.M.; Marais, B.J. Tuberculosis in Children. N. Engl. J. Med. 2012, 367, 348–361. [Google Scholar] [CrossRef] [Green Version]
  99. World Health Organization. Algorithms for Ruling out Active Tuberculosis Disease; World Health Organization: Geneva, Switzerland, 2018. [Google Scholar]
  100. Vasiliu, A.; Abelman, R.A.; Casenghi, M.; Cohn, J.; Bonnet, M. Symptom-Based Screening Versus Chest Radiography for TB Child Contacts: A Systematic Review and Meta-Analysis. Pediatr. Infect. Dis. J. 2021, 40, 1064–1069. [Google Scholar] [CrossRef]
  101. Kulkarni, S.; Jha, S. Artificial Intelligence, Radiology, and Tuberculosis: A Review. Acad. Radiol. 2020, 27, 71–75. [Google Scholar] [CrossRef] [Green Version]
  102. Vo, L.N.Q.; Codlin, A.; Ngo, T.D.; Dao, T.P.; Dong, T.T.T.; Mo, H.T.L.; Forse, R.; Nguyen, T.T.; Cung, C.V.; Nguyen, H.B.; et al. Early Evaluation of an Ultra-Portable X-Ray System for Tuberculosis Active Case Finding. Trop. Med. Infect. Dis. 2021, 6, 163. [Google Scholar] [CrossRef] [PubMed]
  103. World Health Organization. WHO Consolidated Guidelines on Tuberculosis: Module 2: Screening—Systematic Screening for Tuberculosis Disease; WHO Guidelines Approved by the Guidelines Review Committee; World Health Organization: Geneva, Switzerland, 2021; ISBN 978-92-4-002267-6. [Google Scholar]
  104. Marais, B.J.; Graham, S.M. The Value of Chest Radiography in Tuberculosis Preventive Treatment Screening in Children and Adolescents. Am. J. Respir. Crit. Care Med. 2022, 206, 814–816. [Google Scholar] [CrossRef] [PubMed]
  105. International Union Against Tuberculosis and Lung Disease (The Union). Diagnostic CXR Atlas for Tuberculosis in Children—A Guide to Chest X-ray Interpretation, 2nd ed.; International Union Against Tuberculosis and Lung Disease (The Union): Paris, France; ISBN 979-10-91287-32-6.
  106. Huaman, M.A.; Sterling, T.R. Treatment of Latent Tuberculosis Infection—An Update. Clin. Chest Med. 2019, 40, 839–848. [Google Scholar] [CrossRef] [PubMed]
  107. Hamada, Y.; Ford, N.; Schenkel, K.; Getahun, H. Three-Month Weekly Rifapentine plus Isoniazid for Tuberculosis Preventive Treatment: A Systematic Review. Int. J. Tuberc. Lung Dis. 2018, 22, 1422–1428. [Google Scholar] [CrossRef]
  108. Malik, A.A.; Farooq, S.; Jaswal, M.; Khan, H.; Nasir, K.; Fareed, U.; Shahbaz, S.; Amanullah, F.; Safdar, N.; Khan, A.J.; et al. Safety and Feasibility of 1 Month of Daily Rifapentine plus Isoniazid to Prevent Tuberculosis in Children and Adolescents: A Prospective Cohort Study. Lancet Child Adolesc. Health 2021, 5, 350–356. [Google Scholar] [CrossRef] [PubMed]
  109. Alvarez, G.G.; Sullivan, K.; Pease, C.; Van Dyk, D.; Mallick, R.; Taljaard, M.; Grimshaw, J.M.; Amaratunga, K.; Allen, C.; Brethour, K.; et al. Effect of Implementation of a 12-Dose Once-Weekly Treatment (3HP) in Addition to Standard Regimens to Prevent TB on Completion Rates: Interrupted Time Series Design. Int. J. Infect. Dis. 2022, 117, 222–229. [Google Scholar] [CrossRef] [PubMed]
  110. Yang, H.; Yang, Y.; Hu, Z.-D.; Xia, L.; Liu, X.-H.; Yu, X.; Ma, J.-Y.; Li, T.; Lu, S.-H. High Rate of Completion for Weekly Rifapentine plus Isoniazid Treatment in Chinese Children with Latent Tuberculosis Infection-A Single Center Study. PloS ONE 2021, 16, e0253159. [Google Scholar] [CrossRef]
  111. Schwoebel, V.; Koura, K.G.; Adjobimey, M.; Gnanou, S.; Wandji, A.G.; Gody, J.-C.; Delacourt, C.; Detjen, A.; Graham, S.M.; Masserey, E.; et al. Tuberculosis Contact Investigation and Short-Course Preventive Therapy among Young Children in Africa. Int. J. Tuberc. Lung Dis. Off. J. Int. Union Tuberc. Lung Dis. 2020, 24, 452–460. [Google Scholar] [CrossRef]
  112. World Health Organization. WHO Operational Handbook on Tuberculosis: Module 5: Management of Tuberculosis in Children and Adolescents; World Health Organization: Geneva, Switzerland, 2022; ISBN 978-92-4-004683-2. [Google Scholar]
  113. Harries, A.D.; Kumar, A.M.V.; Satyanarayana, S.; Takarinda, K.C.; Timire, C.; Dlodlo, R.A. Treatment for Latent Tuberculosis Infection in Low- and Middle-Income Countries: Progress and Challenges with Implementation and Scale-Up. Expert Rev. Respir. Med. 2020, 14, 195–208. [Google Scholar] [CrossRef]
  114. World Health Organization. Global Tuberculosis Report 2022; World Health Organization: Geneva, Switzerland, 2022. [Google Scholar]
  115. Kaswaswa, K.; MacPherson, P.; Kumwenda, M.; Mpunga, J.; Thindwa, D.; Nliwasa, M.; Mwapasa, M.; Odland, J.; Tomoka, T.; Chipungu, G.; et al. Effect of Patient-Delivered Household Contact Tracing and Prevention for Tuberculosis: A Household Cluster-Randomised Trial in Malawi. PloS ONE 2022, 17, e0269219. [Google Scholar] [CrossRef]
  116. Kay, A.W.; Sandoval, M.; Mtetwa, G.; Mkhabela, M.; Ndlovu, B.; Devezin, T.; Sikhondze, W.; Vambe, D.; Sibanda, J.; Dube, G.S.; et al. Vikela Ekhaya: A Novel, Community-Based, Tuberculosis Contact Management Program in a High Burden Setting. Clin. Infect. Dis. Off. Publ. Infect. Dis. Soc. Am. 2022, 74, 1631–1638. [Google Scholar] [CrossRef] [PubMed]
  117. Vasiliu, A.; Tiendrebeogo, G.; Awolu, M.M.; Akatukwasa, C.; Tchakounte, B.Y.; Ssekyanzi, B.; Tchounga, B.K.; Atwine, D.; Casenghi, M.; Bonnet, M.; et al. Feasibility of a Randomized Clinical Trial Evaluating a Community Intervention for Household Tuberculosis Child Contact Management in Cameroon and Uganda. Pilot Feasibility Stud. 2022, 8, 39. [Google Scholar] [CrossRef] [PubMed]
Table 1. Factors reported to be associated with TB infection in children and adolescents.
Table 1. Factors reported to be associated with TB infection in children and adolescents.
FactorsCharacteristics
1.Factors related to the infectious case
-
Infectiousness: sputum smear-positive; lung cavities on chest radiograph; frequency and severity of cough, mycobacterial strain
-
Intensity of exposure: duration; proximity; and conditions such as crowding and poorly ventilated dwelling
2.Factors related to the individual
-
Age (young child and adolescents)
-
Interaction with community
-
Immune condition
-
Bacillus Calmette-Guerin (BCG) vaccination
-
Presence of other medical condition (other infectious diseases)
-
Genotype of the host
3.Social, environmental, and behavioural risk factors
-
TB prevalence in community
-
Smoke, alcohol use
-
Indoor air pollution
-
Housing structure and size
-
Sleeping practices
-
Household income
-
Parental education
-
Population structure
-
Weather
-
Lower socio-economic status
Table 2. Comparison of currently approved T-cell-based tests including TST and IGRAs specific for M. tuberculosis *.
Table 2. Comparison of currently approved T-cell-based tests including TST and IGRAs specific for M. tuberculosis *.
TestsWHO Approved TechnologiesHow It WorksAdvantagesLimitationsLast WHO Recommendations
Tuberculin skin test (TST)PPD-S
PPD S2
PPD RT23
PPD IC-65
Intradermal injection of tuberculin purified protein derivative (PPD)
Type IV delayed hypersensitivity reaction within 24–72 h in individuals previous exposed to Tuberculin antigens
Identified as palpable induration at the site of injection
Positive result:
-
≥5 mm for children HIV+, or severe malnutrition or with another severe illness.
-
≥10 mm for children without these conditions (irrespective of previous BCG vaccination)
Require fewer resources compared to IGRAs
More familiar to practitioners in resource-limited settings
Specificity reduced in individuals with recent BCG vaccination, those immunosuppressed and people infected with nontuberculous Mycobacteria
Requires two clinic visits and is only valid if the results are read within the suggested time frame
Result interpretation operator dependent
Requires a cold chain
Global shortages and stock-outs
TST or IGRAs equivalent options to test for TBI in all individuals
TST preferred in children <2 years of age and settings with poor laboratory capacities
IGRA preferred among groups unlikely to return to TST reading
TBSTs recommended in children and adolescents aged under 18 years and people who have been vaccinated with BCG (conditional)
WHO recommends that testing for TB infection should not be a requirement for initiating TPT among people living with HIV and child contacts aged under 5 years, particularly in countries with a high TB incidence, given that the benefits of TPT (even without testing) clearly outweigh the risk
Interferon-Gamma Release Assays (IGRAs) blood testsQIAGEN
QuantiFERON®-TB Gold (QFT-G™)
QIAGEN
QuantiFERON®-TB Gold in-tube (QFT-GIT™)
QIAGEN
QuantiFERON®-TB Gold Plus in-tube (QFT-GPIT™)
ELISA-based WANTAI TB-IGRA
Oxford Immunotec ELISPOT-based T-SPOT®TB (T-Spot)
Whole-blood test detecting the Interferon gamma (IFN-γ) produced in vivo by sensitised T cells after in vitro stimulation with M. tuberculosis specific antigens
IFN-γ is released when the blood from infected individuals is incubated with the antigens; this is not the case for people without TB infection
An enzyme-linked immunosorbent assay test is used to detect and quantify the amount of interferon-gamma released
Requires only a single visit and the result is available within 24 h
Results are not affected by prior Bacillus Calmette–Guérin (BCG) vaccination
IGRA platforms
are more expensive to run and require specialised facilities and trained personnel for testing
Sensitivity limited in immunocompromised persons and in young children (QFT-GPIT™ developed to improve sensitivity in immunocompromised subjects and young children)
New class of M. tuberculosis antigen-based skin tests (TBSTs)Diaskintest (Generium, Russian Federation)
Cy-Tb (Serum Institute of India, India)
C-TST (formerly known as ESAT6-CFP10 test, Anhui Zhifei Longcom, China)
Use intradermal injection of antigens (ESAT-6 and CFP-10) that are specific to M. Tuberculosis and stimulate T-cell release of IFN-γ
Type IV delayed hypersensitivity cellular immune response to M. Tuberculosis-specific antigens inducing a specific skin reaction in individuals previous exposed to M. Tuberculosis,
Immune response is measured after 48–72 h as induration in millimetres
Similar accuracy to that of IGRAs (including specificity in BCG-vaccinated individuals) and greater than that of the TST
Would be cost-saving relative to TST and IGRA
Limited evidence
Requires a cold chain
Measurement of the TBST reaction size and interpretation not standardised
Global market availability limited
HIV: human immunodeficiency virus; IGRA: interferon-gamma release assay; TB: tuberculosis; TST: tuberculin skin test; TBSTs: tuberculosis antigen-based skin tests; IFN-γ: interferon-gamma, TBI: tuberculosis infection. * Adapted from the 2022 World Health Organisation (WHO) consolidated guidelines on tuberculosis: module 3: diagnosis: tests for TB infection [56].
Table 3. Available treatment options for tuberculosis infection in children and adolescents *.
Table 3. Available treatment options for tuberculosis infection in children and adolescents *.
Treatment DurationRegimen and DoseFormulation and Completion CriteriaWHO Recommendations
1 monthOne month of rifapentine plus isoniazid daily (1HP)
≥13 years (regardless of weight band):
Isoniazid 300 mg/day
Rifapentine 600 mg/day
No child-friendly formulation available
No rifapentine dosing available until 13 years of age
Available formulation:
Isoniazid 100 mg or Isoniazid 300 mg
Rifapentine 150 mg
Isoniazid 300 mg + rifapentine 300 mg FDC
28 expected doses (one dose per day for 28 days) or at least 80% of the expected doses (23 doses) over a maximum period of 38 days for a complete treatment
Recommended only in >12 years old (conditional recommendation)
Alternative regimen for Adolescents ≥ 13 years living with HIV on TDF, EFV, DTG, or RAL-based ART
3 monthsThree months of daily rifampicin plus isoniazid (3HR)
Isoniazid:
<10 years: 10 mg/kg/day (range 7–15 mg)
≥10 years: 5 mg/kg/day
Rifampicin:
<10 years: 15 mg/kg/day (range 10–20 mg)
≥10 years: 10 mg/kg/day
Child-friendly formulation available
Available formulation:
Isoniazid 50 mg/rifampicin 75 mg (dispersible tablet and FCD)
84 expected doses (one dose per day for 84 days) or at least 80% of the expected doses (68 doses) over a maximum period of 120 days for a complete treatment
Recommended in all ages (strong recommendation)
Preferred regimen for HIV-negative children if FDC available
Alternative regimen for HIV-positive children on EFV-based ART
Three months of rifapentine plus high dose isoniazid weekly (3HP)
Weight-banded paediatric dosing from 10 kg (300 mg isoniazid and 300 mg rifapentine) up to 40 kg (using adult dose 900 mg isoniazid and 900 mg rifapentine)
No child-friendly formulation available
Available formulation:
Isoniazid 100 mg or Isoniazid 300 mg
Rifapentine 150 mg
Isoniazid 300 mg + rifapentine 300 mg FDC
12 expected doses (one dose per weeks for 12 weeks) or at least 90% of the expected doses (11 doses) over a maximum period of 120 days for a complete treatment
Recommended ≥2 years children (strong recommendation)
Preferred regimen for Adolescents living with HIV on TDF, EFV, DTG, or RAL-based ART
Alternative regimen for HIV-negative children aged ≥2 years (able to swallow tablets)
Alternative regimen for older HIV-positive children on EFV-based ART
4 monthsFour months of daily rifampicin (4R)
Age <10 years: 15 mg/kg/day (range 10–20 mg)
Age ≥ 10 years: 10 mg/kg/day
No child-friendly formulation available
No formulation available for infants <8 kg weight
120 expected doses (one dose per day for 120 days) or at least 80% of the expected doses (96 doses) over a maximum period of 160 days for a complete treatment
Recommended as alternative regimen option in all age but there is no suitable paediatric formulation (conditional recommendation)
May be an option for TPT among contacts of people with known isoniazid-resistant rifampicin-susceptible TB
6–9 monthsSix or nine months of daily isoniazid monotherapy (6H)
<10 years: 10 mg/kg/day (range 7–15 mg)
≥10 years: 5 mg/kg/day
Child-friendly formulation available
Available formulation:
Isoniazid 100 mg (dispersible tablet)
182 expected doses (one dose per day for 182 days) or at least 80% of the expected doses (146 doses) over a maximum period of 239 days for a complete treatment
Recommended in all ages (strong recommendation)
Preferred regimen for HIV-positive children on LPV-RTV, NVP, or DTG
Preferred regimen for HIV-negative children if FDC not available
Alternative regimen for all age group
36 monthsThirty-six month of daily isoniazid monotherapy (36H) Recommended in adolescents living with HIV in settings with high TB transmission (conditional recommendation)
1HP: 1 month of isoniazid and rifapentine daily; 3HP: 3 months of isoniazid and rifapentine weekly; 3HR: 3 months of isoniazid and rifampicin daily; 6H: 6 months of isoniazid daily; FCD: fixed-dose combination; DTG: dolutegravir; EFV: efavirenz; FDC: fixed-dose combination; RAL; raltegravir; TDF: tenofovir disoproxil fumarate; TB: tuberculosis; TPT: tuberculosis preventive treatment. * Adapted from the 2022 World Health Organisation (WHO) Operational Handbook on Tuberculosis: Module 5: Management of Tuberculosis in Children and Adolescents [112] and the 2020 World Health Organisation (WHO) Consolidated Guidelines on Tuberculosis: Tuberculosis Preventive Treatment [51].
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Share and Cite

MDPI and ACS Style

Tchakounte Youngui, B.; Tchounga, B.K.; Graham, S.M.; Bonnet, M. Tuberculosis Infection in Children and Adolescents. Pathogens 2022, 11, 1512. https://doi.org/10.3390/pathogens11121512

AMA Style

Tchakounte Youngui B, Tchounga BK, Graham SM, Bonnet M. Tuberculosis Infection in Children and Adolescents. Pathogens. 2022; 11(12):1512. https://doi.org/10.3390/pathogens11121512

Chicago/Turabian Style

Tchakounte Youngui, Boris, Boris Kevin Tchounga, Stephen M. Graham, and Maryline Bonnet. 2022. "Tuberculosis Infection in Children and Adolescents" Pathogens 11, no. 12: 1512. https://doi.org/10.3390/pathogens11121512

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop