Skip to main content

Main menu

  • Home
  • Current issue
  • ERJ Early View
  • Past issues
  • Authors/reviewers
    • Instructions for authors
    • Submit a manuscript
    • Open access
    • COVID-19 submission information
    • Peer reviewer login
  • Alerts
  • Podcasts
  • Subscriptions
  • ERS Publications
    • European Respiratory Journal
    • ERJ Open Research
    • European Respiratory Review
    • Breathe
    • ERS Books
    • ERS publications home

User menu

  • Log in
  • Subscribe
  • Contact Us
  • My Cart

Search

  • Advanced search
  • ERS Publications
    • European Respiratory Journal
    • ERJ Open Research
    • European Respiratory Review
    • Breathe
    • ERS Books
    • ERS publications home

Login

European Respiratory Society

Advanced Search

  • Home
  • Current issue
  • ERJ Early View
  • Past issues
  • Authors/reviewers
    • Instructions for authors
    • Submit a manuscript
    • Open access
    • COVID-19 submission information
    • Peer reviewer login
  • Alerts
  • Podcasts
  • Subscriptions

Tuberculosis prevention in children: a prospective community-based study in South Africa

Anna M. Mandalakas, Anneke C. Hesseling, Alexander Kay, Karen Du Preez, Leonardo Martinez, Lena Ronge, Andrew DiNardo, Christoph Lange, H. Lester Kirchner
European Respiratory Journal 2021 57: 2003028; DOI: 10.1183/13993003.03028-2020
Anna M. Mandalakas
1Global Tuberculosis Program, Dept of Pediatrics, Baylor College of Medicine and Texas Children's Hospital, Houston, TX, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Anna M. Mandalakas
Anneke C. Hesseling
2Desmond Tutu TB Centre, Dept of Pediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Alexander Kay
1Global Tuberculosis Program, Dept of Pediatrics, Baylor College of Medicine and Texas Children's Hospital, Houston, TX, USA
3Baylor College of Medicine Children's Foundation – Eswatini, Mbabane, Swaziland
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Alexander Kay
Karen Du Preez
2Desmond Tutu TB Centre, Dept of Pediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Leonardo Martinez
4Division of Infectious Diseases and Geographic Medicine, School of Medicine, Stanford University, Stanford, CA, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Lena Ronge
2Desmond Tutu TB Centre, Dept of Pediatrics and Child Health, Faculty of Medicine and Health Sciences, Stellenbosch University, Cape Town, South Africa
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Andrew DiNardo
1Global Tuberculosis Program, Dept of Pediatrics, Baylor College of Medicine and Texas Children's Hospital, Houston, TX, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Christoph Lange
5German Center for Infection Research (DZIF) Clinical Tuberculosis Center, Research Center Borstel, Borstel, Germany
6Respiratory Medicine and International Health, University of Lübeck, Lübeck, Germany
7Dept of Medicine, Karolinska Institute, Stockholm, Sweden
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
H. Lester Kirchner
1Global Tuberculosis Program, Dept of Pediatrics, Baylor College of Medicine and Texas Children's Hospital, Houston, TX, USA
8Dept of Population Health Sciences, Geisinger, Danville, PA, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

Abstract

Tuberculosis (TB) preventive therapy reduces TB risk in children. However, the effectiveness of TB preventive therapy in children living in high TB burden settings is unclear.

In a prospective observational community-based cohort study in Cape Town, South Africa, we assessed the effectiveness of routine TB preventive therapy in children ≤15 years of age in a high TB and HIV prevalence setting.

Among 966 children (median (interquartile range) age 5.07 (2.52–8.72) years), 676 (70%) reported exposure to an adult with TB in the past 3 months and 240 out of 326 (74%) eligible children initiated isoniazid preventive therapy under programmatic guidelines. Prevalent (n=73) and incident (n=27) TB were diagnosed among 100 out of 966 (10%) children. Children who initiated isoniazid preventive therapy were 82% less likely to develop incident TB than children who did not (adjusted OR 0.18, 95% CI 0.06–0.52; p=0.0014). Risk of incident TB increased if children were <5 years of age, living with HIV, had a positive Mycobacterium tuberculosis-specific immune response or recent TB exposure. The risk of incident TB was not associated with sex or Mycobacterium bovis bacille Calmette–Guérin vaccination status. Number needed to treat (NNT) was lowest in children living with HIV (NNT=15) and children <5 years of age (NNT=19) compared with children of all ages (NNT=82).

In communities with high TB prevalence, TB preventive therapy substantially reduces the risk of TB among children who are <5 years of age or living with HIV, especially those with recent TB exposure or a positive M. tuberculosis-specific immune response in the absence of disease.

Abstract

In high TB burden communities, preventive therapy substantially reduces risk of TB among child contacts, especially those who are <5 years of age, living with HIV, recently TB exposed or have a positive M. tuberculosis-specific immune response https://bit.ly/3dKHpUc

Introduction

The End TB Strategy calls for a 90% reduction in tuberculosis (TB) mortality and an 80% reduction in TB incidence by 2030 [1]. TB remains among the top 10 causes of mortality in children <5 years of age [2]. Without additional efforts for prevention in children, these goals are unlikely to be met [3]. In recent years, the World Health Organization (WHO) has increasingly emphasised TB preventive therapy (TPT) with multiple guidelines promoting household contact investigation and management to identify children at risk of TB [4, 5]. WHO surveillance has also demonstrated increased use of isoniazid preventive therapy (IPT), the most commonly used preventive treatment regimen in high TB burden settings. In 2018, 27% of eligible children reported initiating IPT following TB exposure compared with 7% in 2015 [6, 7]. At the 2018 UN high-level meeting on TB, Heads of States endorsed a global target of providing TPT to at least 30 million people during 2018–2022. These global targets are more feasible as rifamycin-based preventive therapy regimens of shorter treatment duration and comparable efficacy, tolerability and safety are now recommended for all ages and increasingly available [8, 9].

A systematic review of evidence from randomised controlled trials dating back to the 1940s found a nearly 60% risk reduction in children who receive TPT during 6-month to 10-year follow-up periods [10]. Some observational studies, most outside of Africa, have found that preventive therapy was similarly effective [11]. Nevertheless, the TB/HIV syndemic has amplified the force of Mycobacterium tuberculosis infection in Southern Africa, and may alter the effectiveness and durability of IPT, with limited post-antibiotic effect found in some trials [12]. Furthermore, there is limited recent evidence assessing the efficacy of TPT targeting children via household contact investigation outside of clinical trials, which have limited generalisability to TB programmes in high TB burden settings due to ethical limitations precluding randomisation to a placebo arm. Hence, observational cohorts present a unique opportunity to measure the impact of TPT compared with no treatment, under routine conditions, which reflects the current reality for >70% of children following M. tuberculosis exposure.

We assessed the effectiveness of TPT in nearly 1000 children enrolled in a household contact study in South African communities where IPT is routinely offered to exposed children <5 years of age or living with HIV [13–15].

Methods

Between December 2007 and June 2012, a prospective, community-based household contact diagnostic study was conducted in Cape Town, Western Cape Province, South Africa, which provided the observational cohort examined in this study. The diagnostic study cohort included children (≤15 years of age) with and without known exposure to an adult with TB who were consecutively recruited throughout the accrual period lasting from December 11, 2007 to December 2, 2011, and follow-up ended on June 29, 2012. In the study setting, TB incidence was 741 per 100 000 while the prevalence of HIV infection was 19% among pregnant women in 2012 [16, 17]. In 2009, children represented 13% of notified cases in the Cape Town metropolitan area [18]. Children were observed until they developed TB, died or completed the study period, which was 27 months for children living with HIV and 15 months for children free of HIV infection. The differential length of follow-up was required by the funder due to potential safety concerns regarding serial tuberculin skin tests (TSTs) in children living with HIV.

Following informed consent of guardians and assent of children, participants were recruited from three communities where neonatal Mycobacterium bovis bacille Calmette–Guérin (BCG) vaccination is routinely given to all neonates; vaccination rates exceeded 90% in 2012 [16]. Children living in the same household as an adult with pulmonary or extrapulmonary TB were recruited within 3 months of index case identification in the public community TB clinic [19]. To measure background community TB transmission, children were recruited in a standardised fashion from community paediatric HIV clinics and neighbouring households, irrespective of TB exposure history. Research assistants knocked on the door of the home immediately to the right of the index case and offered study participation; homes were systematically approached in a clockwise fashion until one neighbouring home agreed to participate. Among all children, exposure to an adult with TB during the preceding 3 months was quantified using an established and validated scoring system consisting of 10 binary questions assessing proximity and duration of contact and infectivity of the index case [14, 20]. As 1 point is assigned for each question answered positively, a score of 0–10 was assigned.

At enrolment, children simultaneously completed the TST (2 tuberculin units RT-23; Statens Serum Institute, Copenhagen, Denmark) and interferon-γ release assays (IGRAs), including QuantiFERON-TB Gold In-Tube (Qiagen, Venlo, The Netherlands) and T-Spot.TB (Oxford Immunotec, Oxford, UK); a subset of children ≥5 years of age did not complete T-Spot.TB testing due to budget constraints. These tests do not directly measure infection, but measure host immune response to past or current infection. The TST was classified as positive if an induration was ≥10 mm in children without HIV and ≥5 mm in children living with HIV. IGRAs were interpreted following the manufacturers’ guidelines. Children with negative baseline TST and IGRA were considered to have no evidence of an M. tuberculosis-specific immune response (Mtb-sir), while children with one or more positive baseline TSTs or IGRAs were considered to have a positive Mtb-sir. The study team was blinded to the IGRA results as testing was completed for research purposes and not recommended within the study setting.

Employing a standard case definition that captures microbiologically confirmed and clinically diagnosed TB, children completed evaluation for TB at baseline, 3, 6, 15 and 27 months after enrolment [21]. All children were screened for TB using standard symptom screening [22], chest radiography and mycobacterial culture of gastric aspirates or sputum at baseline, and again if clinically indicated during follow-up. Anteroposterior and lateral chest radiographs were read by two independent experts, blinded to clinical information, using a standard international paediatric TB radiological classification tool [23]. Prevalent TB was defined as a TB diagnosis made ≤3 months from enrolment; incident TB was defined as TB diagnosed >3 months after enrolment. “A positive M. tuberculosis-specific immune response in the absence of active TB” was abbreviated as “Mtb-sir-nodis”; this classification is used to analyse baseline results of children who developed incident TB or remained disease free.

All children with unknown or negative HIV infection status underwent HIV testing using a HIV-1/2 rapid test (Determine HIV-1/2 rapid test; Abbott, Hoofddorp, The Netherlands), followed by confirmatory ELISA (children ≥18 months of age) or DNA PCR (children <18 months of age) if positive or indeterminate. During the study period, local guidelines recommended TPT with 6 months of daily isoniazid for children <5 years of age and all children living with HIV, after exposure to a patient with infectious TB or following a positive TST. Children were not offered TPT if they did not qualify per local guidelines. After excluding TB in the child and providing family education, the study team referred eligible children to community-based TB clinics for IPT. The study team documented IPT initiation at subsequent study visits and repeatedly referred uninitiated children to the TB clinic.

Comparisons between children who did and did not initiate IPT were performed using the Pearson Chi-squared and Wilcoxon rank-sum tests. Comparisons were also performed between TB disease status using the same statistical tests. The association between covariates and disease status (any disease, prevalent or incident versus no disease) was assessed using logistic regression while controlling for M. tuberculosis exposure.

The effectiveness of IPT was estimated in children who developed incident TB compared with children who remained disease free while considering other recognised clinical and epidemiological risk factors, including age, sex, HIV status, BCG vaccination status, history of TB contact and Mtb-sir-nodis. To understand how the effectiveness of IPT may vary across subgroups, sensitivity analysis was completed in children <5 years of age, children with reported TB exposure and children with Mtb-sir-nodis. We also estimated the odds of TB with associated 95% confidence intervals and number needed to treat (NNT) for one person to avert TB. Children with prevalent TB were excluded from these analyses. SAS version 9.4 (SAS Institute, Cary, NC, USA) was used for all analyses.

Research was conducted according to the principles of the World Medical Association Declaration of Helsinki. The research ethics committees of Stellenbosch University, Baylor College of Medicine, Case Western Reserve University and local health authorities approved the study. Confidentiality of data was maintained at all times; only de-identified data were used.

Results

Among 966 children who completed at least 3 months of study follow-up (median (interquartile range) age at enrolment 5.07 (2.52–8.72) years), 62% (601 out of 966) were recruited from households of TB index cases, 22% (212 out of 966) from households neighbouring those of index cases and 16% (153 out of 966) from households affected by HIV (figure 1). 70% (676 out of 966) of children had been exposed to an adult with TB. Notably, 22% (81 out of 365) of children recruited from neighbouring households reported TB exposure compared with 11% (17 out of 153) of children recruited from households affected by HIV. Children with known exposure to an infectious TB index case were nearly two times more likely (OR 1.81, 95% CI 1.36–2.39; p<0.0001) to have Mtb-sir than children without known exposure (53.6% versus 39.0%; p<0.0001). Furthermore, Mtb-sir was common in children recruited not only from households of known index cases (54% (326 out of 601)) but also in children recruited from neighbouring households (45% (96 out of 212)) and households affected by HIV (35% (53 out of 153)). Prevalent and incident TB were identified in children recruited from all three groups.

FIGURE 1
  • Download figure
  • Open in new tab
  • Download powerpoint
FIGURE 1

Prevalence of tuberculosis (TB) and a positive Mycobacterium tuberculosis-specific immune response in the absence of active TB (Mtb-sir-nodis) in participants according to the two healthcare facility-based entry points employed in the study: a) local TB clinics and b) HIV clinics. IPT: isoniazid preventive therapy. Children were recruited from the homes of TB index cases (n=601) and from neighbouring households (n=212). As homes often house several families in our study setting and residence can be transient, not all children in the home reported exposure to the index at the time of household contact investigation. HIV-infected children were recruited from HIV treatment clinics (n=153). Children with TB exposure, Mtb-sir-nodis at baseline and TB were identified in all groups. Percentages may not total 100% due to rounding.

Tuberculosis was diagnosed among 10% (100 out of 966) of children (table 1); most TB was prevalent (n=73) compared with incident (n=27). Bivariate analysis demonstrated strong associations between TB and younger age, exposure to an adult with TB and Mtb-sir (table 1). Of note, 71% of prevalent and 78% of incident TB was observed in children <5 years of age.

View this table:
  • View inline
  • View popup
TABLE 1

Baseline characteristics of children with and without tuberculosis (TB)

While considering other factors that influence a child's risk of TB, children reporting recent exposure to a TB patient were nearly four times more likely to have prevalent TB than their unexposed community-based peers selected based on geographic proximity (table 2). Similarly, children with Mtb-sir were nearly five times more likely to have prevalent TB than children without Mtb-sir. Children were also more likely to have prevalent TB if they were younger and living with HIV. Compared with children <3 years of age, the risk of prevalent TB was reduced by 73% (OR 0.27, 95% CI 0.14–0.52) in children 5– <10 years of age and 85% (OR 0.15, 95% CI 0.0–0.45) in children 10–15 years of age (supplementary table S1). The risk of TB was not associated with sex or BCG vaccination status.

View this table:
  • View inline
  • View popup
TABLE 2

Risk factors for prevalent tuberculosis (TB) in children

Within the entire cohort, 34% (326 out of 966) of children were eligible for IPT in accordance with local guidelines previously outlined; 74% (240 out of 326) initiated routinely offered IPT. Aligned with IPT eligibility criteria, children were more likely to initiate IPT if they were younger or reported contact to a patient with TB (table 3). Initiation of IPT was not associated with sex, TST positivity, HIV status or history of prior TB treatment.

View this table:
  • View inline
  • View popup
TABLE 3

Characteristics of children initiating and not initiating routine isoniazid preventive treatment (IPT)

More than 92% of children completed a 3-month study visit, while 70% completed a 15-month visit. Multivariable regression analysis demonstrated that children who initiated IPT were less likely to develop incident TB than children who did not (table 4). The protective effect of IPT was greatest when controlling for the degree of TB exposure in adjusted model 2 (OR 0.18, 95% CI 0.06–0.52; p=0.0014). Children's risk of developing incident TB increased if at baseline they were younger, living with HIV, reported known recent TB exposure or had Mtb-sir-nodis. Compared with children <3 years of age, the risk of incident TB was reduced by 82% (OR 0.18, 95% CI 0.06–0.52) in children 5– <10 years of age and 99% (OR 0.01, 95% CI <0.01–0.25) in children 10–15 years of age (supplementary table S2). Risk of incident TB was not associated with sex or BCG vaccination status. Sensitivity analysis completed in children <5 years of age, children with reported TB exposure and children with Mtb-sir-nodis found similar associations and estimation of the protective effect of IPT (table 5). Among the 130 participants living with HIV, 93% were receiving antiretroviral therapy and 32% initiated IPT. Incident TB was captured in six children living with HIV, of whom 83% were receiving antiretroviral therapy and 0% initiated IPT.

View this table:
  • View inline
  • View popup
TABLE 4

Effectiveness of isoniazid preventive therapy (IPT) for the prevention of incident tuberculosis (TB)#

View this table:
  • View inline
  • View popup
TABLE 5

Protective effect of isoniazid preventive therapy derived from sensitivity analysis

The effectiveness of IPT was compared across subgroups of children with and without Mtb-sir-nodis, HIV infection and known TB contact (figure 2). IPT reduced the risk of incident TB by 82% in children with Mtb-sir-nodis (OR 0.17, 95% CI 0.05–0.66), 77% in children without HIV infection (OR 0.23, 95% CI 0.08–0.66) and 73% in children with known exposure to TB (OR 0.27, 95% CI 0.10–0.78). In our entire cohort including children up to 15 years of age, 82 children would need to initiate IPT in order for one child to benefit by averting TB (NNT=82) (table 6). The NNT from initiating IPT was lowest in children living with HIV (NNT=15) and children <5 years of age (NNT=19).

FIGURE 2
  • Download figure
  • Open in new tab
  • Download powerpoint
FIGURE 2

Comparative effectiveness of isoniazid preventive therapy (IPT). Within each subgroup included in this analysis, the effectiveness of IPT was estimated via calculation of an odds ratio. The odds ratio of incident TB represents the odds that a child will develop incident TB after initiating IPT compared with the odds that a child will develop incident TB when IPT was not initiated. Data are presented as point estimates with 95% confidence intervals; the x-axis utilises a logarithmic scale to provide a symmetrical display of OR >1.0 and <1.0. TB: tuberculosis; Mtb-sir-nodis: Mycobacterium tuberculosis-specific immune response in the absence of active TB.

View this table:
  • View inline
  • View popup
TABLE 6

Number needed to treat (NNT) in order for one child to avert incident tuberculosis (TB)

Discussion

In an observational prospective cohort following nearly 1000 South African children, we demonstrate that children with known TB exposure who initiated TPT were up to 82% less likely to develop incident TB compared with children who did not initiate TPT. The protective effect of TPT was greatest in children living with HIV and children <5 years of age as evident in a NNT <20 to prevent one child from developing TB. Additionally, the protective effect of TPT was similar in children with Mtb-sir-nodis regardless of reported TB exposure. We introduce the term Mtb-sir-nodis in contrast to “latent M. tuberculosis infection” [24] as the new term is less speculative, and M. tuberculosis infection is often progressive and not persistently latent in children who are at high risk for active disease. TPT has traditionally targeted groups at highest risk of progression to active TB following household or other close exposure to TB, including children <5 years of age and those living with HIV infection [25]. Our evidence supports these existing strategies, but also highlights important opportunities to improve the potential impact of TPT by increasing initiation among children with exposure to TB in both the household and community, and among children with Mtb-sir-nodis regardless of recent exposure.

Emerging evidence suggests that <20% of TB transmission among children and adults is due to household exposure in some settings [26, 27]. Furthermore, as the majority of childhood TB identified via household contact investigation is coprevalent with the index case [28], the value of preventive strategies dependent upon only household contact investigations is likely limited, particularly in settings with high rates of community transmission [29]. Our results lend credibility to these concerns as 73% of TB identified via household contact investigation was prevalent and 21% of children recruited from neighbouring control households reported recent TB exposure.

Within our cohort, over a quarter of eligible children did not initiate TPT and 45% of children who did not meet local TPT eligibility criteria had Mtb-sir-nodis. Utilising this observational comparison group, we demonstrate an 82% reduced risk of TB in children who initiated TPT compared with children who did not initiate TPT. In addition, subgroup analysis demonstrated that the protective effect of TPT was similar among children with TB exposure and children with Mtb-sir-nodis. This well-described, observational cohort affords a unique opportunity to examine TPT strategies that prioritise children with known TB exposure both within their households and their broader communities. The results demonstrate the potential impact of these strategies and supports current guidelines targeting children with reported household TB exposure [4]. Nevertheless, the effectiveness of strategies dependent upon a household contact approach are blunted by delays in case finding as highlighted in this study despite enrolment limited to children reporting exposure within the past 3 months. A recent study found that a community-wide screening intervention reduced TB by 44% at the population level [30]. Such an intervention, partnered with household contact tracing of exposed children, may both increase case detection among adults and target exposed children at high risk to develop TB. Our results further show high rates of TB (8%) and Mtb-sir (39%) in children screened within the community, and highlight the need for preventive strategies uniquely targeting children at risk of nonhousehold exposure to TB.

The increased risk of TB in children living with HIV is well recognised. Guidelines recommend that children living with HIV complete assessment for TB exposure and symptom screening at every clinical encounter [31]. Nevertheless, emerging data from children and adolescents living with HIV demonstrates suboptimal performance of facility-based symptom screening [32, 33]. In contrast, evidence from household contact tracing studies conducted in communities with high burdens of TB and HIV infection demonstrates a 1.5-fold increase in disease identification in HIV-affected households compared with unaffected households [33]. Similarly, this study identified high rates of prevalent and incident TB in HIV-affected households regardless of known TB exposure. This study further demonstrates that IPT is highly effective among children living with HIV as only 15 children need to initiate IPT in order for one child to avert TB. Integration of TPT and community case-finding strategies that prioritises HIV-affected households could significantly reduce TB among children and adolescent living with HIV.

Reflecting the high annual risk of infection in this study setting, half of the cohort had Mtb-sir. Independent of reported TB exposure, children with Mtb-sir-nodis were nearly four times more likely to develop incident TB than peers without Mtb-sir-nodis. In contrast, recent evidence from a primarily adult cohort found no association between Mtb-sir-nodis and incident TB [34], likely reflecting the increased risk of recent infection in children. Although not required for initiation of TPT, the WHO guidelines support the use of the TST and IGRA in children living in low- and middle-income countries [35]. Coupled with evidence demonstrating that TPT is more effective in people with Mtb-sir-nodis compared with those without [36–39], our study results suggest that expansion of testing in high TB prevalence settings could improve the delivery of TPT, targeting children at greatest risk of progression to TB. However, when evaluated in our entire cohort including children up to 15 years of age, children free of HIV infection and children with no known TB contact living in a high TB burden community, the NNT was higher in children with Mtb-sir-nodis compared with children without Mtb-sir-nodis; this observation highlights the need to consider children's Mtb-sir in the context of other risk factors, including age and HIV status. Nevertheless, similar to adults [40], many children with incident TB had no detectable Mtb-sir at baseline illustrating the heterogeneous nature of immune responses which are poorly understood but possibly contribute to TB disease progression and response to therapy. Finally, the high costs of current tests of M. tuberculosis-specific immunity limit the potential role of control strategies incorporating these tools in most high TB burden settings [41].

Despite our robust sample size and longitudinal study design, the data analysis has limitations. High rates of BCG vaccination in our study population may have contributed to positive TST results due to BCG vaccination rather than M. tuberculosis infection among younger study participants [42]; nevertheless, assessment of the M. tuberculosis-specific immune response using two IGRAs in combination with the TST limited this source of bias. We were unable to assess the influence of TPT adherence as data was incomplete and TPT was provided by community TB clinics as part of routine care. Based on past reports in the study communities [43], adherence to TPT was likely poor in this observational cohort and results in underestimation of the potential protective effect of TPT with improved adherence. Nevertheless, our results provide a realistic estimate of protective effectiveness outside of clinical trials. Targeted recruitment of children from households of known TB index cases resulted in a cohort with 70% known TB exposure. As the majority of cases identified in this cohort were prevalent, estimates of TPT effectiveness to prevent incident TB were characterised by broad confidence intervals and the small number of incident cases in children ≥5 years of age precluded sensitivity analysis in this subgroup. Although several shorter and at least equally effective TPT regimens are now recommended that are associated with improved completion rates [8], IPT is still the most common regimen offered to eligible children in high TB/HIV burden settings [6].

In conclusion, in communities with high TB prevalence, TPT substantially reduces the risk of TB among children who are young or living with HIV, especially those who have recent TB exposure or Mtb-sir-nodis regardless of known exposure to TB.

Supplementary material

Supplementary Material

Please note: supplementary material is not edited by the Editorial Office, and is uploaded as it has been supplied by the author.

Supplementary material ERJ-03028-2020.SUPPLEMENT

Shareable PDF

Supplementary Material

This one-page PDF can be shared freely online.

Shareable PDF ERJ-03028-2020.Shareable

Acknowledgements

The authors would like to thank the children and families who graciously participated in the study. Special thanks are given to Bradley Isaacs and Grace Bruintjies (Desmond Tutu TB Centre, Cape Town, South Africa) for their tremendous support and spirit which fuelled our team to succeed.

Footnotes

  • This article has an editorial commentary: https://doi.org/10.1183/13993003.04438-2020

  • This article has supplementary material available from erj.ersjournals.com

  • Conflict of interest: A.M. Mandalakas has nothing to disclose.

  • Conflict of interest: A.C. Hesseling has nothing to disclose.

  • Conflict of interest: A. Kay has nothing to disclose.

  • Conflict of interest: K. Du Preez has nothing to disclose.

  • Conflict of interest: L. Martinez has nothing to disclose.

  • Conflict of interest: L. Ronge has nothing to disclose.

  • Conflict of interest: A. DiNardo has nothing to disclose.

  • Conflict of interest: C. Lange reports personal fees from Chiesi (sponsor independent lecture at a sponsored symposium), Gilead (sponsor independent lecture at a sponsored symposium), Janssen (sponsor independent lecture at a sponsored symposium), Novartis (sponsor independent lecture at a sponsored symposium), Oxford Immunotec (attending scientific advisory board meeting) and Insmed (sponsor independent lecture at a sponsored symposium), outside the submitted work.

  • Conflict of interest: H.L. Kirchner has nothing to disclose.

  • Support statement: This work was supported by the National Institute of Allergy and Infectious Disease at the National Institutes of Health (NIH) (R01A076199; Principal Investigator: A.M. Mandalakas), the Norwegian Cooperation for Higher Education (NUFU: NUFUPRO-2007/10183; Principal Investigator: A.C. Hesseling) and the South African National Research Foundation (Principal Investigator: A.C. Hesseling). A.M. Mandalakas received salary support from the US Dept of State to serve as a Senior Fulbright Scholar to South Africa during the completion of this work. K. Du Preez is supported by the Fogarty International Center of the NIH under award number K43TW011006. C. Lange is supported by the German Center for Infection Research (DZIF). The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. Funding sources played no role in project implementation, analysis or reporting. Funding information for this article has been deposited with the Crossref Funder Registry.

  • Received August 5, 2020.
  • Accepted October 16, 2020.
  • Copyright ©ERS 2021
http://creativecommons.org/licenses/by-nc/4.0/

This version is distributed under the terms of the Creative Commons Attribution Non-Commercial Licence 4.0

References

  1. ↵
    1. World Health Organization
    . The End TB Strategy: Global Strategy and Targets for Tuberculosis Prevention, Care and Control After 2015. Geneva, WHO, 2016.
  2. ↵
    1. Dodd PJ,
    2. Yuen CM,
    3. Sismanidis C, et al.
    The global burden of tuberculosis mortality in children: a mathematical modelling study. Lancet Glob Health 2017; 5: e898–e906. doi:10.1016/S2214-109X(17)30289-9
    OpenUrl
  3. ↵
    1. Hamada Y,
    2. Glaziou P,
    3. Sismanidis C, et al.
    Prevention of tuberculosis in household members: estimates of children eligible for treatment. Bull World Health Organ 2019; 97: 534–547D. doi:10.2471/BLT.18.218651
    OpenUrl
  4. ↵
    1. World Health Organization
    . Recommendations for Investigating Contacts of Persons with Infectious Tuberculosis in Low- and Middle-income Countries. Geneva, WHO, 2012.
  5. ↵
    1. World Health Organization
    . Guidance for National Tuberculosis Programmes on the Management of Tuberculosis in Children. Geneva, WHO, 2014.
  6. ↵
    1. World Health Organization
    . Global Tuberculosis Report. Geneva, WHO, 2019.
  7. ↵
    1. World Health Organization
    . Global Tuberculosis Report. Geneva, WHO, 2016.
  8. ↵
    1. Sterling TR,
    2. Villarino ME,
    3. Borisov AS, et al.
    Three months of rifapentine and isoniazid for latent tuberculosis infection. N Engl J Med 2011; 365: 2155–2166. doi:10.1056/NEJMoa1104875
    OpenUrlCrossRefPubMedWeb of Science
  9. ↵
    1. Swindells S,
    2. Ramchandani R,
    3. Gupta A, et al.
    One month of rifapentine plus isoniazid to prevent HIV-related tuberculosis. N Engl J Med 2019; 380: 1001–1011. doi:10.1056/NEJMoa1806808
    OpenUrlCrossRefPubMed
  10. ↵
    1. Ayieko J,
    2. Abuogi L,
    3. Simchowitz B, et al.
    Efficacy of isoniazid prophylactic therapy in prevention of tuberculosis in children: a meta-analysis. BMC Infect Dis 2014; 14: 91. doi:10.1186/1471-2334-14-91
    OpenUrlCrossRefPubMed
  11. ↵
    1. Martinez L,
    2. Cords O,
    3. Horsburgh CR, et al.
    The risk of tuberculosis in children after close exposure: a systematic review and individual-participant meta-analysis. Lancet 2020; 395: 973–984. doi:10.1016/S0140-6736(20)30166-5
    OpenUrlPubMed
  12. ↵
    1. Samandari T,
    2. Agizew TB,
    3. Nyirenda S, et al.
    Tuberculosis incidence after 36 months’ isoniazid prophylaxis in HIV-infected adults in Botswana: a posttrial observational analysis. AIDS 2015; 29: 351–359. doi:10.1097/QAD.0000000000000535
    OpenUrl
  13. ↵
    1. Mandalakas AM,
    2. Kirchner HL,
    3. Walzl G, et al.
    Optimizing the detection of recent tuberculosis infection in children in a high tuberculosis–HIV burden setting. Am J Respir Crit Care Med 2015; 191: 820–830. doi:10.1164/rccm.201406-1165OC
    OpenUrl
  14. ↵
    1. Mandalakas AM,
    2. Kirchner HL,
    3. Lombard C, et al.
    Well-quantified tuberculosis exposure is a reliable surrogate measure of tuberculosis infection. Int J Tuberc Lung Dis 2012; 16: 1033–1039. doi:10.5588/ijtld.12.0027
    OpenUrlCrossRefPubMed
  15. ↵
    1. Mandalakas AM,
    2. Hesseling AC,
    3. Gie RP, et al.
    Modelling the cost-effectiveness of strategies to prevent tuberculosis in child contacts in a high-burden setting. Thorax 2013; 68: 247–255. doi:10.1136/thoraxjnl-2011-200933
    OpenUrlAbstract/FREE Full Text
  16. ↵
    1. Health Systems Trust
    . District Health Barometer 2012/13. 2013. www.hst.org.za/publications/Pages/District-Health-Barometer-2012-2013.aspx Date last accessed: October 30, 2020.
  17. ↵
    1. National Dept of Health
    . The 2012 National Antenatal Sentinel HIV and Herpes Simplex Type-2 Prevalence Survey, South Africa. 2013. www.hst.org.za/publications/NonHST%20Publications/ASHIVHerp_Report2014_22May2014.pdf Date last accessed: October 30, 2020.
  18. ↵
    1. Wood R,
    2. Lawn SD,
    3. Caldwell J, et al.
    Burden of new and recurrent tuberculosis in a major South African city stratified by age and HIV-status. PLoS One 2011; 6: e25098. doi:10.1371/journal.pone.0025098
    OpenUrlCrossRefPubMed
  19. ↵
    1. Van Wyk SS,
    2. Mandalakas AM,
    3. Enarson DA, et al.
    Tuberculosis contact investigation in a high-burden setting: house or household? Int J Tuberc Lung Dis 2012; 16: 157–162. doi:10.5588/ijtld.11.0393
    OpenUrlCrossRefPubMed
  20. ↵
    1. Stein CM,
    2. Zalwango S,
    3. Malone LL, et al.
    Resistance and susceptibility to Mycobacterium tuberculosis infection and disease in tuberculosis households in Kampala, Uganda. Am J Epidemiol 2018; 187: 1477–1489. doi:10.1093/aje/kwx380
    OpenUrlCrossRef
  21. ↵
    1. Wiseman CA,
    2. Mandalakas AM,
    3. Kirchner HL, et al.
    Novel application of NIH case definitions in a paediatric tuberculosis contact investigation study. Int J Tuberc Lung Dis 2015; 19: 446–453. doi:10.5588/ijtld.14.0585
    OpenUrlCrossRefPubMed
  22. ↵
    1. Marais BJ,
    2. Gie RP,
    3. Hesseling AC, et al.
    A refined symptom-based approach to diagnose pulmonary tuberculosis in children. Pediatrics 2006; 118: e1350–e1359. doi:10.1542/peds.2006-0519
    OpenUrlAbstract/FREE Full Text
  23. ↵
    1. Marais BJ,
    2. Gie RP,
    3. Schaaf HS, et al.
    A proposed radiological classification of childhood intra-thoracic tuberculosis. Pediatr Radiol 2004; 34: 886–894. doi:10.1007/s00247-004-1238-0
    OpenUrlCrossRefPubMedWeb of Science
  24. ↵
    1. Mack U,
    2. Migliori GB,
    3. Sester M, et al.
    LTBI: latent tuberculosis infection or lasting immune responses to M. tuberculosis? A TBNET consensus statement. Eur Respir J 2009; 33: 956–973. doi:10.1183/09031936.00120908
    OpenUrlAbstract/FREE Full Text
  25. ↵
    1. TB CARE I
    . Adaptation and Implementation Guide for Recommendations for Investigating Contacts of Persons with Infectious Tuberculosis in Low- and Middle-income Countries. The Hague, TB CARE I, 2015.
  26. ↵
    1. Martinez L,
    2. Lo NC,
    3. Cords O, et al.
    Paediatric tuberculosis transmission outside the household: challenging historical paradigms to inform future public health strategies. Lancet Respir Med 2019; 7: 544–552. doi:10.1016/S2213-2600(19)30137-7
    OpenUrl
  27. ↵
    1. Martinez L,
    2. Shen Y,
    3. Mupere E, et al.
    Transmission of Mycobacterium tuberculosis in households and the community: a systematic review and meta-analysis. Am J Epidemiol 2017; 185: 1327–1339. doi:10.1093/aje/kwx025
    OpenUrl
  28. ↵
    1. Ferebee SH,
    2. Mount FW,
    3. Murray FJ, et al.
    A controlled trial of isoniazid prophylaxis in mental institutions. Am Rev Respir Dis 1963; 88: 161–175.
    OpenUrlPubMedWeb of Science
  29. ↵
    1. McIntosh AI,
    2. Jenkins HE,
    3. Horsburgh CR, et al.
    Partitioning the risk of tuberculosis transmission in household contact studies. PLoS One 2019; 14: e0223966. doi:10.1371/journal.pone.0223966
    OpenUrl
  30. ↵
    1. Marks GB,
    2. Nguyen NV,
    3. Nguyen PTB, et al.
    Community-wide screening for tuberculosis in a high-prevalence setting. N Engl J Med 2019; 381: 1347–1357. doi:10.1056/NEJMoa1902129
    OpenUrlCrossRefPubMed
  31. ↵
    1. World Health Organization
    . Guidelines for Intensified Tuberculosis Case Finding and Isoniazid Preventive Therapy for People Living with HIV in Resource Constrained Settings. Geneva, WHO, 2011.
  32. ↵
    1. Vonasek B,
    2. Kay A,
    3. Devezin T, et al.
    Tuberculosis symptom screening for children and adolescents living with HIV in six high HIV/TB burden countries in Africa. AIDS 2021; 35: 73–79. doi:10.1097/QAD.0000000000002715.
    OpenUrl
  33. ↵
    1. Mandalakas AM,
    2. Ngo K,
    3. Alonso Ustero P, et al.
    BUTIMBA: intensifying the hunt for child TB in Swaziland through household contact tracing. PLoS One 2017; 12: e0169769. doi:10.1371/journal.pone.0169769
    OpenUrl
  34. ↵
    1. Paradkar M,
    2. Padmapriyadarsini C,
    3. Jain D, et al.
    Tuberculosis preventive treatment should be considered for all household contacts of pulmonary tuberculosis patients in India. PLoS One 2020; 15: e0236743. doi:10.1371/journal.pone.0236743
    OpenUrl
  35. ↵
    1. World Health Organization
    . Latent Tuberculosis Infection: Updated and Consolidated Guidelines for Programmatic Management. Geneva, WHO, 2018.
  36. ↵
    1. Comstock G,
    2. Livesay VT,
    3. Woolpert SF
    . The prognosis of a positive tuberculin reaction in childhood and adolescence. Am J Epidemiol 1974; 99: 131–138. doi:10.1093/oxfordjournals.aje.a121593
    OpenUrlCrossRefPubMedWeb of Science
    1. Acuna-Villaorduna C,
    2. Jones-Lopez EC,
    3. Fregona G, et al.
    Intensity of exposure to pulmonary tuberculosis determines risk of tuberculosis infection and disease. Eur Respir J 2018; 51: 1701578. doi:10.1183/13993003.01578-2017
    OpenUrlAbstract/FREE Full Text
    1. Samandari T,
    2. Agizew TB,
    3. Nyirenda S, et al.
    6-month versus 36-month isoniazid preventive treatment for tuberculosis in adults with HIV infection in Botswana: a randomised, double-blind, placebo-controlled trial. Lancet 2011; 377: 1588–1598. doi:10.1016/S0140-6736(11)60204-3
    OpenUrlCrossRefPubMedWeb of Science
  37. ↵
    1. Martinez L,
    2. le Roux DM,
    3. Barnett W, et al.
    Tuberculin skin test conversion and primary progressive tuberculosis disease in the first 5 years of life: a birth cohort study from Cape Town, South Africa. Lancet Child Adolesc Health 2018; 2: 46–55. doi:10.1016/S2352-4642(17)30149-9
    OpenUrl
  38. ↵
    1. Abubakar I,
    2. Drobniewski F,
    3. Southern J, et al.
    Prognostic value of interferon-gamma release assays and tuberculin skin test in predicting the development of active tuberculosis (UK PREDICT TB): a prospective cohort study. Lancet Infect Dis 2018; 18: 1077–1087. doi:10.1016/S1473-3099(18)30355-4
    OpenUrlCrossRefPubMed
  39. ↵
    1. Faust L,
    2. Ruhwald M,
    3. Schumacher S, et al.
    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. doi:10.1002/hsr2.158
    OpenUrl
  40. ↵
    1. Mandalakas AM,
    2. Kirchner HL,
    3. Zhu X, et al.
    Interpretation of repeat tuberculin skin testing in international adoptees: conversions or boosting. Pediatr Infect Dis J 2008; 27: 913–919. doi:10.1097/INF.0b013e3181758187
    OpenUrlPubMed
  41. ↵
    1. Marais BJ,
    2. van Zyl S,
    3. Schaaf HS, et al.
    Adherence to isoniazid preventive chemotherapy: a prospective community based study. Arch Dis Child 2006; 91: 762–765. doi:10.1136/adc.2006.097220
    OpenUrlAbstract/FREE Full Text
PreviousNext
Back to top
View this article with LENS
Vol 57 Issue 4 Table of Contents
European Respiratory Journal: 57 (4)
  • Table of Contents
  • Index by author
Email

Thank you for your interest in spreading the word on European Respiratory Society .

NOTE: We only request your email address so that the person you are recommending the page to knows that you wanted them to see it, and that it is not junk mail. We do not capture any email address.

Enter multiple addresses on separate lines or separate them with commas.
Tuberculosis prevention in children: a prospective community-based study in South Africa
(Your Name) has sent you a message from European Respiratory Society
(Your Name) thought you would like to see the European Respiratory Society web site.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Print
Alerts
Sign In to Email Alerts with your Email Address
Citation Tools
Tuberculosis prevention in children: a prospective community-based study in South Africa
Anna M. Mandalakas, Anneke C. Hesseling, Alexander Kay, Karen Du Preez, Leonardo Martinez, Lena Ronge, Andrew DiNardo, Christoph Lange, H. Lester Kirchner
European Respiratory Journal Apr 2021, 57 (4) 2003028; DOI: 10.1183/13993003.03028-2020

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero

Share
Tuberculosis prevention in children: a prospective community-based study in South Africa
Anna M. Mandalakas, Anneke C. Hesseling, Alexander Kay, Karen Du Preez, Leonardo Martinez, Lena Ronge, Andrew DiNardo, Christoph Lange, H. Lester Kirchner
European Respiratory Journal Apr 2021, 57 (4) 2003028; DOI: 10.1183/13993003.03028-2020
del.icio.us logo Digg logo Reddit logo Technorati logo Twitter logo Connotea logo Facebook logo Google logo Mendeley logo
Full Text (PDF)

Jump To

  • Article
    • Abstract
    • Abstract
    • Introduction
    • Methods
    • Results
    • Discussion
    • Supplementary material
    • Shareable PDF
    • Acknowledgements
    • Footnotes
    • References
  • Figures & Data
  • Info & Metrics
  • PDF

Subjects

  • Respiratory infections and tuberculosis
  • Tweet Widget
  • Facebook Like
  • Google Plus One

More in this TOC Section

Original Articles

  • Ambulatory management of secondary spontaneous pneumothorax
  • Systematic assessment of respiratory health in illness susceptible athletes
  • Identifying early PAH biomarkers in systemic sclerosis
Show more Original Articles

Tuberculosis

  • All-oral regimens are effective for the management of MDR-TB in high-burden settings
  • Host lipidome and tuberculosis treatment failure
  • TB diagnosis with stool Xpert MTB/RIF and urine AlereLAM in children
Show more Tuberculosis

Related Articles

Navigate

  • Home
  • Current issue
  • Archive

About the ERJ

  • Journal information
  • Editorial board
  • Reviewers
  • CME
  • Press
  • Permissions and reprints
  • Advertising

The European Respiratory Society

  • Society home
  • myERS
  • Privacy policy
  • Accessibility

ERS publications

  • European Respiratory Journal
  • ERJ Open Research
  • European Respiratory Review
  • Breathe
  • ERS books online
  • ERS Bookshop

Help

  • Feedback

For authors

  • Instructions for authors
  • Publication ethics and malpractice
  • Submit a manuscript

For readers

  • Alerts
  • Subjects
  • Podcasts
  • RSS

Subscriptions

  • Accessing the ERS publications

Contact us

European Respiratory Society
442 Glossop Road
Sheffield S10 2PX
United Kingdom
Tel: +44 114 2672860
Email: journals@ersnet.org

ISSN

Print ISSN:  0903-1936
Online ISSN: 1399-3003

Copyright © 2022 by the European Respiratory Society