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Original article

Xpert MTB/RIF assay did not improve diagnosis of pulmonary tuberculosis among child contacts in Rwanda

Xpert MTB/RIF assay did not improve diagnosis of pulmonary tuberculosis among child contacts in Rwanda

Francine Mwayuma Birungi1,2,&, Brian van Wyk2, Jeannine Uwimana1,2, Joseph Ntaganira1, Stephen Michael Graham3,4

 

1Department of Epidemiology and Biostatistics, School of Public Health of the College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda, 2Faculty of Community and Health Sciences, University of Western Cape, Cape Town, South Africa, 3Centre for International Child Health, University of Melbourne Department of Paediatrics and Murdoch Children’s, Research Institute, Royal Children’s Hospital, Melbourne, Australia, 4International Union Against Tuberculosis and Lung Disease, Paris, France

 

 

&Corresponding author
Birungi Mwayuma Francine, Department of Epidemiology and Biostatistics, School of Public Health of the College of Medicine and Health Sciences, University of Rwanda, Kigali, Rwanda

 

 

Abstract

Introduction: to report on the diagnostic yield using the Xpert MTB/RIF assay on gastric lavage samples from children (<15 years) who were household contacts of tuberculosis (TB) cases in Kigali, Rwanda.

 

Methods: a cross-sectional study was conducted among 216 child contacts of index cases with sputum smear-positive TB over a 7 month period, from 1st August 2015 to 29th February 2016. Child contacts with tuberculosis-related symptoms or abnormal chest X-ray had sputum collected by gastric lavage on two consecutive days and samples were examined by smear microscopy, Xpert MTB/RIF assay and solid culture.

 

Results: of the 216 child contacts, 94 (44%) were less than 5 years of age. Most of them 84 (89%) were receiving isoniazid preventive therapy at the time of screening. Thirty seven out of 216 children had TB-related symptoms. Only 4 (10.8%) were clinically diagnosed with TB; and none had bacteriologically confirmed tuberculosis.

 

Conclusion: the use of Xpert MTB/RIF assay did not contribute to bacteriological confirmation of active TB in child contacts in this study. The low prevalence of tuberculosis in child contacts in this study may reflect the high coverage of preventive therapy in young (<5 years) child contacts. The low sensitivity of Xpert MTB/RIF assay in contacts may also suggest likely reflection of paucibacillary disease.

 

 

Introduction    Down

Tuberculosis (TB) is a major cause of morbidity and mortality among children (0-14 years) in resource-limited countries [1]. The World Health Organisation (WHO) estimated that 10% of the 9 million TB incident cases occurred in children in 2015 and that there were 210,000 TB-related deaths in children, including 170,000 in Human Immunodeficiency Virus (HIV)-uninfected children [2]. The annual report of Rwanda's 2013-2014 National Tuberculosis Program (NTP) indicated that child TB cases represented 6% of all notified TB cases, below the national target of 12% [3]. Among these cases, 68% were pulmonary TB and 22% were bacteriologically confirmed. These data suggest under-detection of TB in children in Rwanda, especially of clinically diagnosed cases. There are well recognised challenges with detection and diagnosis, particularly in young children (<5 years) with paucibacillary disease, difficulty in obtaining samples and clinical overlap of TB with other common diseases such as severe pneumonia and malnutrition [4-7]. Young children (< 5 years) who develop active TB subsequent to infection with Mycobacterium tuberculosis, usually do so within one year of infection [8]. Children who are close to a TB index case are at high risk of TB infection [9-12]. Without any intervention, 5-10% of infected children will develop active TB within one year, with the highest prevalence of TB at the time of screening being in young children (< 5 years) [8,13]. Screening of child contacts of TB cases, prioritising index cases with sputum smear-positive pulmonary TB, is almost universally recommended and plays two important roles which include identification and evaluation of symptomatic contacts of any age requiring further diagnostic assessment of TB for early treatment (i.e. active case finding), and the provision of preventive therapy to "high-risk" contacts that do not have active TB [14]. Since 2006, WHO has recommended a symptom-based screening approach that allows the initiation of contact management and the provision of preventive therapy for asymptomatic young child contacts at the household or primary care level [15,16]. However, symptomatic contacts need further evaluation for TB and this remains challenging at the primary or secondary care level given the widely recognized limitations of current diagnostic tools especially in young children.

 

In 2013, the WHO endorsed the Xpert MTB/RIF assay for use in children [15,17]. The Xpert MTB/RIF assay offers advantages over smear microscopy for acid-fast bacilli. Research studies reported Xpert MTB/RIF assay to be three times more sensitive than sputum smear but with sensitivity compared to culture lower in outpatient children than in inpatients (48% versus 70%) [18]. Under programmatic conditions in a large study in India, Xpert MTB/RIF assay had twice the yield of smear with similar yield from sputum collected by gastric aspirate or induced sputum [19]. The Xpert MTB/RIF assay can be implemented in a peripheral laboratory with a result in less than two hours that includes information on rifampicin resistance [17,20]. Hence, the Xpert/MTB/RIF assay can potentially improve case detection among child contacts compared to smear while overcoming other constraints to active screening that include reducing the time, cost and complexity to the individual, family and health service incurred by the need for multiple visits to a hospital to complete evaluation for TB [21,22]. Few studies have evaluated the performance of the Xpert MTB/RIF assay in the context of contact screening in children where the children with TB are outpatients and likely to have early disease that is paucibacillary compared to hospital-based studies of more advanced cases passively detected [18,23,24]. Further, no previous studies have utilised gastric lavage (GL) in the evaluation of symptomatic child contacts. The Xpert MTB/RIF assay was introduced as a diagnostic tool for all children suspected of having TB in Rwanda in 2014. However, only samples from self-expectorated sputum have been used. This study aims to evaluate the diagnostic performance of the Xpert MTB/RIF assay in sputum collected by GL in symptomatic children who are contacts of index cases with sputum smear-positive TB.

 

 

Methods Up    Down

Study design and setting: this is a cross-sectional study of child contacts of sputum smear-positive index cases who were detected between 1st August 2015 and 29th February 2016 at 13 primary health centres (PHCs) based in Kigali, the capital city of Rwanda. Kigali reports the highest prevalence of TB in Rwanda and around 30% of Rwanda's total pulmonary TB (PTB) cases [25]. Kigali city has four referral hospitals, four District hospitals which are all TB diagnostic and treatment centres and 35 PHCs. Of the PHCs, 23 provide TB diagnostic and treatment services; thus, potential entry points for TB cases. A PHC was selected for inclusion in this study if it reported an average of at least 10 sputum smear-positive PTB cases during the first half (January to June) of 2015.

 

Study population: index cases diagnosed with sputum smear-positive PTB between August 2015 and February 2016 who had at least one child less than 15 years old, but who were not a member of a household to which a previous selected index case belonged and still living in Kigali city, were eligible for inclusion in the study. Identified index cases were requested, either via telephone calls or through trained community health workers (CHWs), to bring children with whom they live with to their PHC on a specific day to coincide with visits to that PHC by data enumerators. Child contacts were defined as those contacts of less than 15 years who shared the same household with a selected index case within the 3 months prior to the diagnosis of the index case. Therefore, all child contacts born after the index cases had started treatment or were not leaving with the index cases prior to the diagnosis of the index cases were excluded. Eligible children were enrolled following written informed consent by the parent or caregiver and children of 7 years and older also signed an assent form.

 

Data collection and management: a structured questionnaire adapted from screening guidelines [26,27] was pre-tested and modified during a pilot study in two selected sites. Twelve data enumerators were trained to conduct interviews with parents/caregivers of selected child contacts and to collect data from TB registers and index case folders, using standardised data collection forms. We also trained 20 CHWs to explain the study to the parents/caregivers, and sensitise them to bring child contacts for screening at the PHCs. Data of the index case included: result of smear microscopy, demographic data, address of residence and telephone number. The uptake of IPT among child contacts following diagnosis of the index case was also recorded. The recorded data were validated by the index case, parents or caregivers of selected children once they were identified in order to ensure the accuracy of the data. The demographics and medical history of index cases were recorded; and all eligible children underwent clinical screening including nutritional assessment and Chest X-ray (CXR). The clinical screening focussed on symptoms suggestive of TB: cough for ≥ 2 weeks, haemoptysis, fever, failure to gain weight, absence of appetite, fatigue, and the presence of lymphadenopathy. Anteroposterior and lateral CXR were also performed on all the 216 children; and read by two independent experienced general practitioners, trained in interpreting CXR and blinded to the clinical details of participants and proofread by an experienced radiologist. Children with symptoms suggestive of TB and/or CXR "consistent with active TB", as described in Table 1, were given antibiotics for seven days as recommended by the current TB diagnostic algorithm in the country. Those children were thereafter reassessed. Children with persistence of symptoms despite appropriate treatment were referred to a district hospital as outpatients for sputum collection through GL. A trained nurse, under supervision of a senior paediatrician, collected a sputum sample (3-4ml), using GL technique, on two consecutive mornings from the children after six hours of fasting. The samples were directly transported to Kigali teaching hospital laboratory, a qualified high performance diagnostic mycobacteriology laboratory, where they were processed by trained technicians and investigated by smear microscopy, Xpert MTB/RIF assay and solid culture within two hours subsequent to their collection. Children diagnosed with TB were treated in accordance with the Rwanda NTP treatment guidelines [28]. Young child contacts of less than 5 years of age and with no evidence of active TB were offered IPT for 6 months as per national guidelines if they were not already receiving IPT at the time of screening.

 

Laboratory procedure: for Xpert MTB/RIF assay test, 2ml of buffer, a tampon solution of Xpert MTB/RIF assay test, was added to 1ml of fresh sample. It was then shaken and stood for 10 minutes and shaken again and stood for further 5 minutes and then, 2.5 ml of the mixed solution was transferred into the Xpert cartridge, scanned and tested. The result was read two hours later. For solid culture, 2ml of fresh sample was decontaminated with 2 ml of sodium hydroxide and then the mixed solution was neutralized with hydrochloric acid before centrifuging at 3000xg for 15 minutes by using aerosol free centrifuge cups. The sediment was thereafter re-suspended in 2ml of sterile distilled water by 0.5ml transfer pipette. At the end, 0.2 ml of sediment was inoculated onto solid media, Lowenstein Jensen media as per standard protocols [29]. The growth of Mycobacterium tuberculosis bacteria was checked every 7 days up to 8 weeks. For microscopy, a drop of sediment prepared for culture was used for fluorescent acid-fast smear microscopy following the standard procedure [29].

 

Data analysis: clinical case definition categories for TB in children considered the standardised case definition recently published [30] and were based on clinical screening, X-ray and microbiological investigations. Children were categorized as follows: bacteriologically confirmed TB, unconfirmed TB and unlikely TB (Table 1). Categorical data were interpreted through frequency table with median and interquartile range (IQR) for continuous data. Chi square test or Fisher Exact test was performed to compare the proportion of the outcomes between the groups and 95% confidence intervals (CIs) were calculated for the proportion of an outcome using the binomial exact method. The diagnostic performance of Xpert MTB/RIF assay was compared with the culture method as the primary reference standard. All analyses were conducted using Stata statistical software version 13.1 for Windows [31].

 

Ethical approval: the Senate Research Committee of the University of the Western Cape and the Ethic Review Board of the University of Rwanda, College of Medicine and Health Sciences approved the study protocol. Permission was obtained from Rwanda NTP to collect data from the eligible PHCs.

 

 

Results Up    Down

Figure 1 outlines the study flow chart. There were 346 cases of sputum smear-positive PTB diagnosed and treated in Kigali during the study period from 1st August 2015 and 29th February 2016. Of these 346 index cases, 136 (39%) had at least one child contact and of these 136 index cases, 105 (77%) had a child contact that met the inclusion criteria. The other 31 (23%) index cases with a child contact did not meet inclusion criteria as the child was born after the diagnosis of the index case. Among the 233 child contacts of the 105 eligible index cases, 216 (93%) children met the inclusion criteria of child contacts. The other 17 (17%) were excluded, because they were not living with the index case within the 3 months prior to the diagnosis of the index case. Among these 216 child contacts, 37 (17%) children (derived from 28 index cases) had symptoms suggestive of TB and/or CXR "consistent with active tuberculosis" at the time of screening. Table 2 and Table 3 show the demographic characteristics of the eligible index cases and child contacts, respectively. The results reveal that median age of index cases was 35 years (IQR: 18-65); HIV test was done for 95 (90%) index cases and HIV prevalence was 27%. The findings show that 71 (68%) of all index cases had not yet completed TB treatment. The median age for symptomatic child contacts was 4 years (IQR: 2-13). Among those 37 children, 59% were under five years old, 54% were female, HIV test was done for 31(84%) of them, 3% were HIV positive, and 97% had the evidence of BCG vaccination recorded. IPT had previously been commenced in 84 (89%) of 94 young child contacts without active TB at the time of evaluation. Data of uptake and adherence to IPT will be presented separately once follow-up of the cohort is complete. The majority of child contacts selected in the study were asymptomatic at the time of screening: 179/216 or 83% (95% CI, 77%-87%). All symptomatic child contacts (100%) were exposed to air pollution (tobacco smoke or burning wood) and the majority (64%) had their parents as index cases with 81% in contact with index cases for more than 8 hours per day. In addition, the majorities (81%) of these children were living in the households with more than two people and 78% of those households had just one bedroom. Among the 37 symptomatic child contacts, 92% had at least one symptom suggestive of TB (Table 1) and 10.8% had a CXR "consistent with active tuberculosis". The most commonly reported symptoms were cough (65%), fever (24%), moderate malnutrition (19%) and enlarged cervical, axillary or inguinal lymph nodes (5%). The CXR was normal in 212 (98%) of all 216 children, whereas 33 (89%) of 37 symptomatic child contacts had a normal CXR. All four abnormal CXRs were reported as "air space opacification". No asymptomatic child had an abnormal CXR. Of the 37 symptomatic child contacts, 33 ( 89%: 95% CI 73-96) were classified as unlikely TB children and 4 (10.8%: 95% CI 3.9-26.4) had a clinical diagnosis of TB. This represented 1.8% (95% CI, 0.06-0.4) of TB cases among all 216 child contacts. All clinically diagnosed TB cases had at least one symptom suggestive of TB and a CXR consistent with active TB. All these children, who were ≥ 5 years of age, were initiated on TB treatment for six months according to the national guidelines [28] and all completed the TB treatment. None of the symptomatic contacts was bacteriologically confirmed by smear, Xpert MTB/RIF assay or culture on two GL samples.

 

 

Discussion Up    Down

No child contacts were detected with bacteriologically confirmed TB, including those who were symptomatic at the time of screening. Only four (10.8%) children of all symptomatic child contacts were treated for TB based on clinical diagnosis. The very low overall yield (1.8%) of children diagnosed with TB in our study following contact screening is in sharp contrast to the high yield recently reported from Uganda where 10% of 761 contacts were diagnosed with TB of whom 71% were bacteriologically confirmed [32]. A study conducted in Indonesia among 269 child contacts using two separate samples obtained by induced sputum that also included Xpert MTB/RIF assay for M. tuberculosis diagnosed TB in 8% of 269 child contacts, but as in our study, none was bacteriologically confirmed [24]. Contrasting findings have been reported in adult household contacts in Ethiopia [33] where the Xpert MTB/RIF assay in sputum yielded a high percentage of cases (9/14 or 64%) but numbers were small. A possible explanation for a low yield from Xpert MTB/RIF assay is that contact screening may select children with early disease as hospital based studies of children with presumptive TB have had much higher yields [18,23,34-36]. It has been demonstrated that the detection limit of Xpert MTB/RIF assay is low, showing only 131 colony forming unit (CFU) [95% CI: 106-176]/ml of specimen [20,33,37]. Our study also shows that none of the under-five years old child contacts had TB at the time of screening, despite being known to be an "at-risk" group with a high yield of active TB (around 10%) at the time of screening [8,12,13]. This is likely because a large proportion (89%) of child contacts ≤ 5 years were already on IPT at the time of screening. In the studies in Uganda and Indonesia, only 1.5% (7/490) and 0% (0/99), respectively, of eligible child contacts who started on IPT developed active TB [24,32]. Further, there was also a time delay between diagnosis of the index case and contact screening of up to 5 months. There was a low yield from Xpert MTB/RIF assay in sputum collected using GL technique in this study from two sputum samples, which suggests the need to evaluate resource implications and cost-benefit of the policy that recommends Xpert assay for children with presumptive TB who are household contacts [24]. Our study has a number of major limitations. The absence of any confirmed TB cases prevented us from making conclusive remarks about the performance of Xpert MTB/RIF assay as a diagnostic tool in child contacts in sputum using GL technique besides and there was no comparison with other collection methods. Moreover, the small number of TB cases observed could lead to the reduction of the power to detect small differences in the yield between Xpert MTB/RIF assay and clinical diagnosis, microscopy and solid culture.

 

 

Conclusion Up    Down

The use of Xpert MTB/RIF assay did not contribute to bacteriological confirmation of tuberculosis in child contacts in this study in Rwanda in a setting where there was a high uptake of preventive therapy among eligible child contacts. The low sensitivity of Xpert MTB/RIF assay in contacts may also suggest likely reflection of paucibacillary disease because of early case detection.

What is known about this topic

  • Performance of the Xpert MTB/RIF assay in inpatient and outpatient children (passive case detection);
  • Performance of the Xpert MTB/RIF assay in Induce sputum in symptomatic contacts children.

What this study adds

  • Performance of the Xpert MTB/RIF assay in the context of contact screening in contacts children already on IPT;
  • Performance of the Xpert MTB/RIF assay in sputum collected by GL in symptomatic contacts children (early case detection).

 

 

Competing interests Up    Down

The authors declare no competing interests.

 

 

Authors’ contributions Up    Down

Francine Birungi, Stephen Michael Graham, Jeannine Uwimana, Brian van Wyk, Joseph Ntaganira Conceived and designed the experiments. Francine Birungi, Stephen Michael Graham, Jeannine Uwimana, Brian van Wyk Analysed and interpreted the data. Francine Mwayuma Birungi, Stephen Michael Graham, Jeannine Uwimana, Brian van Wyk, Joseph Ntaganira, Wrote the paper. All the authors have read and agreed to the final manuscript.

 

 

Acknowledgments Up    Down

We would like to express our sincere gratitude to study participants and their parents or caregivers, TB diagnostic laboratory staff, TB focal points, head of PHCs, Community health workers and data enumerators involved in this study. We thank also Jino Bahemuka and Mary Nellima Ondiaka for editing the manuscript. We also thank the Swedish International Development +Agency (Sida) that funded this study through University of Rwanda Coordination office of Research Activities (UR-CRA). We declare that the funder has no role in the study design, data collection and analysis, preparation of the manuscript and decision to publish.

 

 

Tables and figure Up    Down

Table 1: operational definition used in this study

Table 2: characteristics of the index cases of child contacts

Table 3: characteristics of child contacts

Figure 1: flow of child contacts recruitment

 

 

References Up    Down

  1. Graham SM, Sismanidis C, Menzies HJ, Marais BJ, Detjen AK, Black RE. Importance of tuberculosis control to address child survival. Lancet. 2014; 383(9928): 1605-1607. PubMed | Google Scholar

  2. WHO. Global Tuberculaosis Report; 2016. Google Scholar

  3. Rwanda Biomedical Centre. 2013-2014 Annual Report: tuberculosis, other respiratory communicable diseases and leprosy control in Rwanda. Rwanda Ministry of Health; 2014. Google Scholar

  4. Oliwa JN, Karumbi JM, Marais BJ, Madhi SA, Graham SM. Tuberculosis as a cause or comorbidity of childhood pneumonia in tuberculosis-endemic areas: a systematic review. Lancet Respir Med. 2015; 3(3): 235-243. PubMed | Google Scholar

  5. Chisti MJ, Graham SM, Duke T, Ahmed T, Ashraf H, Faruque ASG et al. A prospective study of the prevalence of tuberculosis and bacteraemia in Bangladeshi children with severe malnutrition and pneumonia including an evaluation of Xpert MTB/RIF assay. PLoS One. 2014; 9(4): e93776. PubMed | Google Scholar

  6. Nantongo JM, Wobudeya E, Mupere E, Joloba M, Ssengooba W, Kisembo HN et al. High incidence of pulmonary tuberculosis in children admitted with severe pneumonia in Uganda. BMC Pediatr. 2013; 13: 16. PubMed | Google Scholar

  7. Jaganath D, Mupere E. Childhood tuberculosis and malnutrition. J Infect Dis. 2012; 206(12): 1809-1815. PubMed | Google Scholar

  8. Marais BJ, Gie RP, Schaaf HS, Hesseling AC, Obihara CC, Nelson LJ et al. The clinical epidemiology of childhood pulmonary tuberculosis: a critical review of literature from the pre-chemotherapy era. Int J Tuberc Lung Dis. 2004; 8(3): 278-285. PubMed | Google Scholar

  9. Lienhardt C, Fielding K, Sillah J, Tunkara A, Donkor S, Manneh K et al. Risk factors for tuberculosis infection in sub-Saharan Africa: a contact study in The Gambia. Am J Respir Crit Care Med. 2003; 168(4): 448-455. PubMed | Google Scholar

  10. Davis P. The Natural History of Tuberculosis in Children: a study of child contacts in the Brompton Hospital Child Contact Clinic from 1930 to 1952. Tubercle. 1961; 42: 1-40. PubMed | Google Scholar

  11. Singh M, Mynak ML, Kumar L, Mathew JL, Jindal SK. Prevalence and risk factors for transmission of infection among children in household contact with adults having pulmonary tuberculosis. Arch Dis Child. 2005; 90(6): 624-8. PubMed | Google Scholar

  12. Triasih R, Rutherford M, Lestari T, Utarini A, Robertson CF, Graham SM. Contact investigation of children exposed to tuberculosis in South East Asia: a systematic review. J Trop Med. 2012; 2012: 301808. PubMed | Google Scholar

  13. Fox GJ, Barry SE, Britton WJ, Marks GB. Contact investigation for tuberculosis: asystematic review and meta-analysis. Eur Respir J. 2013; 41(1): 140-156. PubMed | Google Scholar

  14. Graham SM. The management of infection with Mycobacterium tuberculosis in young children post-2015: an opportunity to close the policy-practice gap. Expert Rev Respir Med Expert Rev Respir Med. 2017; 11(1): 41-9. PubMed | Google Scholar

  15. WHO. Guidance for National Tuberculosis Programmes on the management of tuberculosis in children, second edition. Geneva: World Health Organization; 2014. Google Scholar

  16. WHO. Guidance for national tuberculosis programmes on the management of tuberculosis in children. Geneva: World Health Organisation; 2006. Google Scholar

  17. WHO. Automated real-time nucleic acid amplification technology for rapid and simultaneous detection of tuberculosis and rifampicin resistance: Xpert: Xpert MTB/RIF assay for the diagnosis of pulmonary and extrapulmonary TB in adults and children. Policy update. Geneva: World Health Organization; 2013. Google Scholar

  18. Detjen DAK, DiNardo AR, Leyden J, Menzies D, Schiller I, Dendukuri N et al. Xpert MTB/RIF assay for the diagnosis of pulmonary tuberculosis in children: a systematic review and meta-analysis. Lancet Respir Med. 2015; 3(6): 451-461. PubMed | Google Scholar

  19. Raizada N, Sachdeva KS, Nair SA, Kulsange S, Gupta RS, Thakur R et al. Enhancing TB case detection: experience in offering upfront Xpert MTB/RIF testing to pediatric presumptive TB and DR TB cases for early rapid diagnosis of drug sensitive and drug resistant TB. PLoS One. 2014; 9(8): e105346. PubMed | Google Scholar

  20. Helb D, Jones M, Story E, Boehme C, Wallace E, Ho K et al. Rapid detection of Mycobacterium tuberculosis and rifampin-resistance using on-demand, near patient technology. Clin Microbiol. 2010; 48(1): 229-237. PubMed | Google Scholar

  21. Zachariah R, Spielmann M, Harries AD, Gomani P, Graham SM, Bakali E et al. Passive versus active tuberculosis case finding and isoniazid preventive therapy among household contacts in a rural district of Malawi. Int J Tuberc Lung Dis. 2003; 7(11): 1033-1039. PubMed | Google Scholar

  22. Kruk A, Gie RP, Schaaf HS, Marais BJ. Symptom-based screening of child tuberculosis contacts: improved feasibility in resource-limited settings. Pediatrics. 2008; 121(6): e1646-1652. PubMed | Google Scholar

  23. Bates M, O'Grady J, Maeurer M. Assessment of the Xpert MTB/RIF assay for diagnosis of tuberculosis with gastric lavage aspirates in children in sub-Saharan Africa: a prospective descriptive study. Lancet Infect Dis. 2013; 13(1): 36-42. PubMed | Google Scholar

  24. Triasih R, Robertson CF, Duke T, Graham SM. A Prospective evaluation of the symptom-based screening approach to the management of children who are contacts of tuberculosis cases. Clin Infect Dis. 2015; 60(1): 12-8. PubMed | Google Scholar

  25. .Tuberculosis and Other Respiratory Diseases. Rwanda Biomedical Centre, 2016. Google Scholar

  26. WHO. Recommendations for investigating contacts of persons with infectious tuberculosis in low- and middle-income countries. Geneva: World Health Organization; 2012. Google Scholar

  27. Cuevas LE, Browning R, Bossuyt P, Casenghi M, Cotton MF, Cruz AT et al. Evaluation of tuberculosis diagnostics in children: methodological issues for conducting and reporting research evaluations of tuberculosis diagnostics for intrathoracic tuberculosis in children: consensus from an expert panel. J Infect Dis. 2012; 205(suppl 2): S209-215. PubMed | Google Scholar

  28. Ministry of Health Rwanda. Handbook of Tuberculosis and TB-HIV. 2009; 5th edition. Google Scholar

  29. Global Laboratory Initiative. Mycobacteriology Laboratory Manual Editor. 2014; 1st edition. Google Scholar

  30. Graham SM, Cuevas LE, Jean-Philippe P, Browning R, Casenghi M, Detjen AK et al. Clinical case definitions for classification of intrathoracic tuberculosis in children: an update. Clin Infect Dis. 2015; 61(Suppl 3): S179-187. PubMed | Google Scholar

  31. StataCorp LP. Stata user's guide release 13. Accessed on 9 November 2016.

  32. Jaganath D, Zalwango S, Okware B, Nsereko M, Kisingo H, Malone L et al. Contact investigation for active tuberculosis among child contacts in Uganda. Clin Infect Dis. 2013; 57(12): 1685-1692. PubMed | Google Scholar

  33. Habte D, Melese M, Hiruy N, Gashu Z, Jerene D, Moges F et al. The additional yield of GeneXpert MTB/RIF test in the diagnosis of pulmonary tuberculosis among household contacts of smear positive TB cases. Int J Infect Dis. 2016; 49: 179-184. PubMed | Google Scholar

  34. Nicol MP, Workman L, Isaacs W, Munro J, Black F, Eley B et al. Accuracy of the Xpert MTB/RIF test for the diagnosis of pulmonary tuberculosis in children admitted to hospital in Cape Town, South Africa: a descriptive study. Lancet Infect Dis. 2011; 11(11): 819-824. PubMed | Google Scholar

  35. Rachow A, Clowes P, Saathoff E, Mtafya B, Michael E, Ntinginya EN et al. Increased and expedited case detection by Xpert MTB/RIF assay in childhood tuberculosis: a prospective cohort study. Clin Infect Dis. 2012; 54(10): 1388-1396. PubMed | Google Scholar

  36. Sekadde MP, Wobudeya E, Joloba ML, Ssengooba W, Kisembo H, Bakeera-Kitaka S et al. Evaluation of the Xpert MTB/RIF test for the diagnosis of childhood pulmonary tuberculosis in Uganda: a cross-sectional diagnostic study. BMC Infect Dis. 2013; 13: 133. PubMed | Google Scholar

  37. Blakemore R, Story E, Helb D, Kop J, Banada P, Owens MR et al. Evaluation of the analytical performance of the Xpert MTB/RIF assay. J Clin Microbiol. 2010; 48(7): 2495-2501. PubMed | Google Scholar