Abstract

The current diagnostic abilities for the detection of pediatric tuberculosis are suboptimal. Multiple factors contribute to the under-diagnosis of intrathoracic tuberculosis in children, namely the absence of pathognomonic features of the disease, low bacillary loads in respiratory specimens, challenges in sample collection, and inadequate access to diagnostic tools in high-burden settings. Nonetheless, the 2020s have witnessed encouraging progress in the area of novel diagnostics. Recent WHO-endorsed rapid molecular assays hold promise for use in service decentralization strategies, and new policy recommendations include stools as an alternative, child-friendly specimen for testing with the GeneXpert assay. The pipeline of promising assays in mid/late-stage development is expanding, and novel pediatric candidate biomarkers based on the host immune response are being identified for use in diagnostic and triage tests. For a new test to meet the pediatric target product profiles prioritized by the WHO, it is key that the peculiarities and needs of the hard-to-reach pediatric population are considered in the early planning phases of discovery, validation, and implementation studies.

INTRODUCTION

In 2020, an estimated 1.1 million children fell ill with tuberculosis (TB), but less than half were notified of national TB programs [1].

In pediatric TB, underreporting remains a substantial challenge. It not only partly reflects years of public health strategies that overlooked the importance of TB detection in children for disease control purposes but it is also a proxy for the complexities of pediatric TB diagnosis and worldwide access to appropriate diagnostics and care. The gap in pediatric TB detection is meaningful, as almost all deaths occur in undiagnosed children who are not offered anti-TB treatment [2]. The need to prioritize childhood TB detection as part of the global strategy to end TB is universally recognized, as is the urgency for research to prioritize the development of accurate and accessible diagnostic and screening tools for pediatric TB [3].

The aim of this review is to provide an up-to-date overview of the available diagnostic tools for pediatric TB and explore the panorama of future diagnostics while considering critically the challenges to implementation and priorities.

PECULIARITIES AND CHALLENGES OF DIAGNOSING PEDIATRIC TB

The difficulties of diagnosing TB in children are multifactorial. The spectrum of pediatric TB presentation is age-dependent, with the most vulnerable young children presenting often with paucibacillary intrathoracic or disseminated disease and non-specific symptoms [4]. The variety of clinical presentations and lack of pathognomonic features complicate clinical diagnosis and case definitions. Chest X-ray (CXR) is a useful diagnostic tool but is limited by inter-reader variability, and cost and accessibility issues in peripheral settings [5]. Bacteriological confirmation should be sought whenever possible [6], but the complexity of specimen collection and the low bacillary load of the samples are frequent obstacles to this approach.

Expectorated sputum is hardly collectable in young children, and obtaining “classic” pediatric respiratory specimens (gastric aspirate, GA; induced sputum, IS) requires somewhat invasive procedures, trained personnel, and equipment which are rarely available at the primary healthcare level (PHCL) [7]. Less invasive methods to collect respiratory secretions, such as nasopharyngeal aspirate (NPA), stools, and string tests are available [8] (Table 1).

Table 1.

Characteristics of Pediatric Specimens For Mycobacteriological Diagnosis.

Specimen typeDescriptionXpert Diagnostic Accuracy1LimitationsAdvantages
PrincipleProcedureSetting
Sputum (expectorated)Collection of spontaneously produced respiratory secretionsCooperative, older children are asked to produce sputumInpatient and outpatient settingsSE: 65%
SP: 99%
SE: 73% (Ultra)
SP:97% (Ultra)
•Requires collaborative, older children and productive cough• Cheap collection, limited supply needs
• Usually available in peripheral healthcare centers
Sputum (induced)Collection of induced respiratory secretionsNebulization with hypertonic saline followed by nasopharyngeal suctionInpatient and outpatient settings• Risk of aerosolization– Requires ventilated rooms
• Requires trained personnel and equipment
• Not indicated in children with respiratory distress
• Criterion-standard specimen
• Less invasive than gastric aspirate
Gastric aspirateCollection of swallowed respiratory secretionsFasting, early morning gastric content is aspirated via nasogastric tubeInpatient (preferred) and outpatient settingsSE: 73%
SP: 98%
SE: 64% (Ultra)
SP: 95% (Ultra)
• Invasive sample
• Requires fasting
• Requires trained personnel
• Criterion-standard specimen
Nasopharyngeal aspirateRespiratory secretions collected in retropharynxNasopharyngeal secretions suctioned via mucus aspiratorInpatient and outpatient settingsSE: 46%
SP: 100%
SE: 46% (Ultra)
SP: 98% (Ultra)
• Requires trained personnel and specific equipment (suction machine and mucous trap)• Less invasive than gastric aspirate
StoolCollection of swallowed respiratory secretionsSpontaneously passed stools are collectedInpatient and outpatient settingsSE: 61%
SP: 98%
SE: 53% (Ultra)
SP: 98% (Ultra)
• Few children might pass stool during outpatient visit, requires caregivers to return to clinic
• Risk of lower acceptability in older children
• Non-invasive sample
• Cheap collection, limited supply needs
• Does not require trained
personnel
• Collection might be adopted in peripheral centers
String TestCollection of swallowed respiratory secretionsDissolvable capsule containing a string is swallowed after 8-hours fasting.
The string unravels into the stomach, where it collects swallowed respiratory secretions
Inpatient and outpatient settingsSE: 48–100%2
SP: 100%2
• Risk of low compliance in children below 4 years, unable to swallow capsule
• Long procedure (up to 4-hours intragastric downtime)
• Requires fasting
• Less invasive than gastric aspirate
• Requires minimally trained personnel
Oral swabCollection of material from oral cavityWhole oral cavity is swabbed for several secondsInpatient and outpatient settingsSE: 30%3
SP: 100%3
• Experimental use in TB diagnostics
• Suboptimal diagnostic accuracy
• Minimally invasive
• Suitable as self-collection test in older children
BioaerosolsCollection of bioaerosol in face masks or blow tubesFace mask containing an absorptive sampling matrix (eg, gelatin or poly vinyl alcohol) is worn for 30 min
Breathing for 2–5 minutes into a tube fitted a filter membrane capturing aerosols from exhaled breath
Inpatient and outpatient settingsPediatric data not available• Experimental use in TB diagnostic
• No pediatric prototypes
• Safety concerns for children below 2 years
• Long collection
• Risk of poor tolerance in young children
• Potential application in diagnosis and screening strategies in hard-to-reach populations
• Might provide information on transmissibility of the asymptomatic
Specimen typeDescriptionXpert Diagnostic Accuracy1LimitationsAdvantages
PrincipleProcedureSetting
Sputum (expectorated)Collection of spontaneously produced respiratory secretionsCooperative, older children are asked to produce sputumInpatient and outpatient settingsSE: 65%
SP: 99%
SE: 73% (Ultra)
SP:97% (Ultra)
•Requires collaborative, older children and productive cough• Cheap collection, limited supply needs
• Usually available in peripheral healthcare centers
Sputum (induced)Collection of induced respiratory secretionsNebulization with hypertonic saline followed by nasopharyngeal suctionInpatient and outpatient settings• Risk of aerosolization– Requires ventilated rooms
• Requires trained personnel and equipment
• Not indicated in children with respiratory distress
• Criterion-standard specimen
• Less invasive than gastric aspirate
Gastric aspirateCollection of swallowed respiratory secretionsFasting, early morning gastric content is aspirated via nasogastric tubeInpatient (preferred) and outpatient settingsSE: 73%
SP: 98%
SE: 64% (Ultra)
SP: 95% (Ultra)
• Invasive sample
• Requires fasting
• Requires trained personnel
• Criterion-standard specimen
Nasopharyngeal aspirateRespiratory secretions collected in retropharynxNasopharyngeal secretions suctioned via mucus aspiratorInpatient and outpatient settingsSE: 46%
SP: 100%
SE: 46% (Ultra)
SP: 98% (Ultra)
• Requires trained personnel and specific equipment (suction machine and mucous trap)• Less invasive than gastric aspirate
StoolCollection of swallowed respiratory secretionsSpontaneously passed stools are collectedInpatient and outpatient settingsSE: 61%
SP: 98%
SE: 53% (Ultra)
SP: 98% (Ultra)
• Few children might pass stool during outpatient visit, requires caregivers to return to clinic
• Risk of lower acceptability in older children
• Non-invasive sample
• Cheap collection, limited supply needs
• Does not require trained
personnel
• Collection might be adopted in peripheral centers
String TestCollection of swallowed respiratory secretionsDissolvable capsule containing a string is swallowed after 8-hours fasting.
The string unravels into the stomach, where it collects swallowed respiratory secretions
Inpatient and outpatient settingsSE: 48–100%2
SP: 100%2
• Risk of low compliance in children below 4 years, unable to swallow capsule
• Long procedure (up to 4-hours intragastric downtime)
• Requires fasting
• Less invasive than gastric aspirate
• Requires minimally trained personnel
Oral swabCollection of material from oral cavityWhole oral cavity is swabbed for several secondsInpatient and outpatient settingsSE: 30%3
SP: 100%3
• Experimental use in TB diagnostics
• Suboptimal diagnostic accuracy
• Minimally invasive
• Suitable as self-collection test in older children
BioaerosolsCollection of bioaerosol in face masks or blow tubesFace mask containing an absorptive sampling matrix (eg, gelatin or poly vinyl alcohol) is worn for 30 min
Breathing for 2–5 minutes into a tube fitted a filter membrane capturing aerosols from exhaled breath
Inpatient and outpatient settingsPediatric data not available• Experimental use in TB diagnostic
• No pediatric prototypes
• Safety concerns for children below 2 years
• Long collection
• Risk of poor tolerance in young children
• Potential application in diagnosis and screening strategies in hard-to-reach populations
• Might provide information on transmissibility of the asymptomatic

References: [6, 8, 12, 29, 44, 46].

Abbreviations: SE, sensitivity; SP, specificity.

Against a microbiological reference standard (on respiratory secretions).

Two studies [8, 29].

One study, in-house PCR [44].

Table 1.

Characteristics of Pediatric Specimens For Mycobacteriological Diagnosis.

Specimen typeDescriptionXpert Diagnostic Accuracy1LimitationsAdvantages
PrincipleProcedureSetting
Sputum (expectorated)Collection of spontaneously produced respiratory secretionsCooperative, older children are asked to produce sputumInpatient and outpatient settingsSE: 65%
SP: 99%
SE: 73% (Ultra)
SP:97% (Ultra)
•Requires collaborative, older children and productive cough• Cheap collection, limited supply needs
• Usually available in peripheral healthcare centers
Sputum (induced)Collection of induced respiratory secretionsNebulization with hypertonic saline followed by nasopharyngeal suctionInpatient and outpatient settings• Risk of aerosolization– Requires ventilated rooms
• Requires trained personnel and equipment
• Not indicated in children with respiratory distress
• Criterion-standard specimen
• Less invasive than gastric aspirate
Gastric aspirateCollection of swallowed respiratory secretionsFasting, early morning gastric content is aspirated via nasogastric tubeInpatient (preferred) and outpatient settingsSE: 73%
SP: 98%
SE: 64% (Ultra)
SP: 95% (Ultra)
• Invasive sample
• Requires fasting
• Requires trained personnel
• Criterion-standard specimen
Nasopharyngeal aspirateRespiratory secretions collected in retropharynxNasopharyngeal secretions suctioned via mucus aspiratorInpatient and outpatient settingsSE: 46%
SP: 100%
SE: 46% (Ultra)
SP: 98% (Ultra)
• Requires trained personnel and specific equipment (suction machine and mucous trap)• Less invasive than gastric aspirate
StoolCollection of swallowed respiratory secretionsSpontaneously passed stools are collectedInpatient and outpatient settingsSE: 61%
SP: 98%
SE: 53% (Ultra)
SP: 98% (Ultra)
• Few children might pass stool during outpatient visit, requires caregivers to return to clinic
• Risk of lower acceptability in older children
• Non-invasive sample
• Cheap collection, limited supply needs
• Does not require trained
personnel
• Collection might be adopted in peripheral centers
String TestCollection of swallowed respiratory secretionsDissolvable capsule containing a string is swallowed after 8-hours fasting.
The string unravels into the stomach, where it collects swallowed respiratory secretions
Inpatient and outpatient settingsSE: 48–100%2
SP: 100%2
• Risk of low compliance in children below 4 years, unable to swallow capsule
• Long procedure (up to 4-hours intragastric downtime)
• Requires fasting
• Less invasive than gastric aspirate
• Requires minimally trained personnel
Oral swabCollection of material from oral cavityWhole oral cavity is swabbed for several secondsInpatient and outpatient settingsSE: 30%3
SP: 100%3
• Experimental use in TB diagnostics
• Suboptimal diagnostic accuracy
• Minimally invasive
• Suitable as self-collection test in older children
BioaerosolsCollection of bioaerosol in face masks or blow tubesFace mask containing an absorptive sampling matrix (eg, gelatin or poly vinyl alcohol) is worn for 30 min
Breathing for 2–5 minutes into a tube fitted a filter membrane capturing aerosols from exhaled breath
Inpatient and outpatient settingsPediatric data not available• Experimental use in TB diagnostic
• No pediatric prototypes
• Safety concerns for children below 2 years
• Long collection
• Risk of poor tolerance in young children
• Potential application in diagnosis and screening strategies in hard-to-reach populations
• Might provide information on transmissibility of the asymptomatic
Specimen typeDescriptionXpert Diagnostic Accuracy1LimitationsAdvantages
PrincipleProcedureSetting
Sputum (expectorated)Collection of spontaneously produced respiratory secretionsCooperative, older children are asked to produce sputumInpatient and outpatient settingsSE: 65%
SP: 99%
SE: 73% (Ultra)
SP:97% (Ultra)
•Requires collaborative, older children and productive cough• Cheap collection, limited supply needs
• Usually available in peripheral healthcare centers
Sputum (induced)Collection of induced respiratory secretionsNebulization with hypertonic saline followed by nasopharyngeal suctionInpatient and outpatient settings• Risk of aerosolization– Requires ventilated rooms
• Requires trained personnel and equipment
• Not indicated in children with respiratory distress
• Criterion-standard specimen
• Less invasive than gastric aspirate
Gastric aspirateCollection of swallowed respiratory secretionsFasting, early morning gastric content is aspirated via nasogastric tubeInpatient (preferred) and outpatient settingsSE: 73%
SP: 98%
SE: 64% (Ultra)
SP: 95% (Ultra)
• Invasive sample
• Requires fasting
• Requires trained personnel
• Criterion-standard specimen
Nasopharyngeal aspirateRespiratory secretions collected in retropharynxNasopharyngeal secretions suctioned via mucus aspiratorInpatient and outpatient settingsSE: 46%
SP: 100%
SE: 46% (Ultra)
SP: 98% (Ultra)
• Requires trained personnel and specific equipment (suction machine and mucous trap)• Less invasive than gastric aspirate
StoolCollection of swallowed respiratory secretionsSpontaneously passed stools are collectedInpatient and outpatient settingsSE: 61%
SP: 98%
SE: 53% (Ultra)
SP: 98% (Ultra)
• Few children might pass stool during outpatient visit, requires caregivers to return to clinic
• Risk of lower acceptability in older children
• Non-invasive sample
• Cheap collection, limited supply needs
• Does not require trained
personnel
• Collection might be adopted in peripheral centers
String TestCollection of swallowed respiratory secretionsDissolvable capsule containing a string is swallowed after 8-hours fasting.
The string unravels into the stomach, where it collects swallowed respiratory secretions
Inpatient and outpatient settingsSE: 48–100%2
SP: 100%2
• Risk of low compliance in children below 4 years, unable to swallow capsule
• Long procedure (up to 4-hours intragastric downtime)
• Requires fasting
• Less invasive than gastric aspirate
• Requires minimally trained personnel
Oral swabCollection of material from oral cavityWhole oral cavity is swabbed for several secondsInpatient and outpatient settingsSE: 30%3
SP: 100%3
• Experimental use in TB diagnostics
• Suboptimal diagnostic accuracy
• Minimally invasive
• Suitable as self-collection test in older children
BioaerosolsCollection of bioaerosol in face masks or blow tubesFace mask containing an absorptive sampling matrix (eg, gelatin or poly vinyl alcohol) is worn for 30 min
Breathing for 2–5 minutes into a tube fitted a filter membrane capturing aerosols from exhaled breath
Inpatient and outpatient settingsPediatric data not available• Experimental use in TB diagnostic
• No pediatric prototypes
• Safety concerns for children below 2 years
• Long collection
• Risk of poor tolerance in young children
• Potential application in diagnosis and screening strategies in hard-to-reach populations
• Might provide information on transmissibility of the asymptomatic

References: [6, 8, 12, 29, 44, 46].

Abbreviations: SE, sensitivity; SP, specificity.

Against a microbiological reference standard (on respiratory secretions).

Two studies [8, 29].

One study, in-house PCR [44].

Diagnostic Tools for Microbiological Diagnosis

Microscopy and Culture

Smear microscopy of sputum samples, the cornerstone of adult TB diagnosis, shows a sensitivity as low as 7% in children less than 15 years old, falling below 1% in children aged 0-4 years [9]. Mycobacterial culture is considered the gold standard of laboratory TB diagnosis, providing definitive evidence of viable Mycobacterium tuberculosis bacteria (Mtb), and enabling phenotypic drug sensitivity testing (DST) [10]. Automated liquid cultures have improved turnaround times and detection rates [11], but culture remains an expensive, sophisticated, and long procedure for tertiary-level laboratories. At best, only one-third of children with clinically diagnosed TB are culture-positive, but culture remains the most sensitive test [10].

Rapid Molecular Tests

The past decade has seen significant progress in molecular diagnostics, driven by the development and implementation of automated nucleic acid amplification tests (NAAT). (Table 2)

Table 2.

Novel Diagnostic Tests for Pediatric Intrathoracic TB Detection (Commercially Available Or In Mid/Late-Stage Development).

AssayDiagnostic Platform/ToolTechnology2021 WHO Recommended Use (Pediatric)Recommended Specimen TypesDiagnostic Accuracy (MRS)Turnaround TimeTarget SettingTarget/Intended Use (Pediatric)Commercial Availability
Xpert MTB/RIFGeneXpert (Cepheid, USA)qPCRInitial test in children with signs and symptoms of TB (strong recommendation)Sputum, GA, NPA, stoolSE: 46–73%
SP: 98–100%
SE: 90% (RR)
SP: 98% (RR)
<2 hDistrict or subdistrict laboratoryDiagnosticYes
Xpert MTB/RIF UltraGeneXpert (Cepheid, USA)qPCR/melting temperature analysisInitial test in children with signs and symptoms of TB (strong recommendation)Sputum, GA, NPA, stoolSE: 46–73%
SP: 95–100%
<2 hDistrict or subdistrict laboratoryDiagnosticYes
Truenat MTB, MTB plus, MTB-RIF Dx. Under development: MTB-Ultima, MTB-INH, MTB-BDQ, MTB TB-COVID-19Truenat (Molbio)Micro RT-PCRInitial test in children with signs and symptoms of TB (conditional recommendation)SputumNo pediatric data<1 hPeripheral laboratory (potential point-of-care)DiagnosticYes
Loopamp MTBC assayLAMP assay kit (Eiken Corp.)Loop-mediated isothermal amplificationCurrently not recommended in childrenSputumSE: 80%1
SP: 100%1
<2 hPeripheral laboratoryDiagnosticYes
LAM Ag assayDetermine TB LAMAg test (Abbott)Lateral flowInitial test to assist diagnosis in: – all HIV-positive children with advanced disease, regardless of TB-suggestive symptoms;
- all HIV-positive children with TB-suggestive symptoms or seriously ill
UrineSE: 43–65%
SP: 57–91%
(HIV-positive children)
<1 hPoint-of-care (Inpatient and outpatient)Diagnostic (rule-in in high-risk group)Yes
Moderate complexity automated NAATSeveral platforms (Roche, Abbott, Hain, BD, Bioneer)High throughput molecular PCR/assayInitial test in children with signs and symptoms of TB (conditional recommendation)Respiratory samplesNo pediatric data6–8 hReference or district laboratoryDiagnosticYes
NGSSeveral platforms (Nanopore, Illumina, ThermoFisher) and assays [Deeplex Myc-TB (GenoScreen); DeepChek (ABL)]Targeted NGS/deep sequencing assays/WGSNASputum, culture isolatesNA<48 hReference or district laboratoryGenotypic drug susceptibility testingYes
Second-generation LAM Ag assaySILVAMP TB LAM (Fujifilm, Japan)Lateral flowNAUrineSE: 42–65%
SP: 84–92%
<1 hPoint-of-careDiagnostic (rule-in in high-risk group)No
TB detection assays for ultrarapid portable NAATLumiraDx (LumiraDx)Rapid molecular qSTAR/assayNAFirst product will use tongue swabsNA<30 minPoint-of-careDiagnosticNo (LumiraDx platform: yes)
RNA signature assaysXpert-MTB-HR (Cepheid), RISK6 signature assay (QuantuMDx)Host RNA response/PCRNABlood (Fingerprick)No pediatric data<1 hPoint-of-care (subject to instrument availability)TriageNo
TAM TB assayTAM-TB (Beckman Coulter)Flow cytometry/TB-specific biomarkers (CD38 and CD27)NABloodSE: 83%1
SP: 97%1
24 hDistrict laboratoryDiagnosticNo
AssayDiagnostic Platform/ToolTechnology2021 WHO Recommended Use (Pediatric)Recommended Specimen TypesDiagnostic Accuracy (MRS)Turnaround TimeTarget SettingTarget/Intended Use (Pediatric)Commercial Availability
Xpert MTB/RIFGeneXpert (Cepheid, USA)qPCRInitial test in children with signs and symptoms of TB (strong recommendation)Sputum, GA, NPA, stoolSE: 46–73%
SP: 98–100%
SE: 90% (RR)
SP: 98% (RR)
<2 hDistrict or subdistrict laboratoryDiagnosticYes
Xpert MTB/RIF UltraGeneXpert (Cepheid, USA)qPCR/melting temperature analysisInitial test in children with signs and symptoms of TB (strong recommendation)Sputum, GA, NPA, stoolSE: 46–73%
SP: 95–100%
<2 hDistrict or subdistrict laboratoryDiagnosticYes
Truenat MTB, MTB plus, MTB-RIF Dx. Under development: MTB-Ultima, MTB-INH, MTB-BDQ, MTB TB-COVID-19Truenat (Molbio)Micro RT-PCRInitial test in children with signs and symptoms of TB (conditional recommendation)SputumNo pediatric data<1 hPeripheral laboratory (potential point-of-care)DiagnosticYes
Loopamp MTBC assayLAMP assay kit (Eiken Corp.)Loop-mediated isothermal amplificationCurrently not recommended in childrenSputumSE: 80%1
SP: 100%1
<2 hPeripheral laboratoryDiagnosticYes
LAM Ag assayDetermine TB LAMAg test (Abbott)Lateral flowInitial test to assist diagnosis in: – all HIV-positive children with advanced disease, regardless of TB-suggestive symptoms;
- all HIV-positive children with TB-suggestive symptoms or seriously ill
UrineSE: 43–65%
SP: 57–91%
(HIV-positive children)
<1 hPoint-of-care (Inpatient and outpatient)Diagnostic (rule-in in high-risk group)Yes
Moderate complexity automated NAATSeveral platforms (Roche, Abbott, Hain, BD, Bioneer)High throughput molecular PCR/assayInitial test in children with signs and symptoms of TB (conditional recommendation)Respiratory samplesNo pediatric data6–8 hReference or district laboratoryDiagnosticYes
NGSSeveral platforms (Nanopore, Illumina, ThermoFisher) and assays [Deeplex Myc-TB (GenoScreen); DeepChek (ABL)]Targeted NGS/deep sequencing assays/WGSNASputum, culture isolatesNA<48 hReference or district laboratoryGenotypic drug susceptibility testingYes
Second-generation LAM Ag assaySILVAMP TB LAM (Fujifilm, Japan)Lateral flowNAUrineSE: 42–65%
SP: 84–92%
<1 hPoint-of-careDiagnostic (rule-in in high-risk group)No
TB detection assays for ultrarapid portable NAATLumiraDx (LumiraDx)Rapid molecular qSTAR/assayNAFirst product will use tongue swabsNA<30 minPoint-of-careDiagnosticNo (LumiraDx platform: yes)
RNA signature assaysXpert-MTB-HR (Cepheid), RISK6 signature assay (QuantuMDx)Host RNA response/PCRNABlood (Fingerprick)No pediatric data<1 hPoint-of-care (subject to instrument availability)TriageNo
TAM TB assayTAM-TB (Beckman Coulter)Flow cytometry/TB-specific biomarkers (CD38 and CD27)NABloodSE: 83%1
SP: 97%1
24 hDistrict laboratoryDiagnosticNo

References: [6, 12, 18–20, 33–35, 55].

Abbreviations: GA, gastric aspirate; INH, isoniazid; MRS, microbiological reference standard; NGS, next-generation sequencing; NPA, nasopharyngeal aspirate; RIF, rifampicin; RR, rifampicin resistance; SE, sensitivity; SP, specificity; WGS, whole genome sequencing.

One study.

Table 2.

Novel Diagnostic Tests for Pediatric Intrathoracic TB Detection (Commercially Available Or In Mid/Late-Stage Development).

AssayDiagnostic Platform/ToolTechnology2021 WHO Recommended Use (Pediatric)Recommended Specimen TypesDiagnostic Accuracy (MRS)Turnaround TimeTarget SettingTarget/Intended Use (Pediatric)Commercial Availability
Xpert MTB/RIFGeneXpert (Cepheid, USA)qPCRInitial test in children with signs and symptoms of TB (strong recommendation)Sputum, GA, NPA, stoolSE: 46–73%
SP: 98–100%
SE: 90% (RR)
SP: 98% (RR)
<2 hDistrict or subdistrict laboratoryDiagnosticYes
Xpert MTB/RIF UltraGeneXpert (Cepheid, USA)qPCR/melting temperature analysisInitial test in children with signs and symptoms of TB (strong recommendation)Sputum, GA, NPA, stoolSE: 46–73%
SP: 95–100%
<2 hDistrict or subdistrict laboratoryDiagnosticYes
Truenat MTB, MTB plus, MTB-RIF Dx. Under development: MTB-Ultima, MTB-INH, MTB-BDQ, MTB TB-COVID-19Truenat (Molbio)Micro RT-PCRInitial test in children with signs and symptoms of TB (conditional recommendation)SputumNo pediatric data<1 hPeripheral laboratory (potential point-of-care)DiagnosticYes
Loopamp MTBC assayLAMP assay kit (Eiken Corp.)Loop-mediated isothermal amplificationCurrently not recommended in childrenSputumSE: 80%1
SP: 100%1
<2 hPeripheral laboratoryDiagnosticYes
LAM Ag assayDetermine TB LAMAg test (Abbott)Lateral flowInitial test to assist diagnosis in: – all HIV-positive children with advanced disease, regardless of TB-suggestive symptoms;
- all HIV-positive children with TB-suggestive symptoms or seriously ill
UrineSE: 43–65%
SP: 57–91%
(HIV-positive children)
<1 hPoint-of-care (Inpatient and outpatient)Diagnostic (rule-in in high-risk group)Yes
Moderate complexity automated NAATSeveral platforms (Roche, Abbott, Hain, BD, Bioneer)High throughput molecular PCR/assayInitial test in children with signs and symptoms of TB (conditional recommendation)Respiratory samplesNo pediatric data6–8 hReference or district laboratoryDiagnosticYes
NGSSeveral platforms (Nanopore, Illumina, ThermoFisher) and assays [Deeplex Myc-TB (GenoScreen); DeepChek (ABL)]Targeted NGS/deep sequencing assays/WGSNASputum, culture isolatesNA<48 hReference or district laboratoryGenotypic drug susceptibility testingYes
Second-generation LAM Ag assaySILVAMP TB LAM (Fujifilm, Japan)Lateral flowNAUrineSE: 42–65%
SP: 84–92%
<1 hPoint-of-careDiagnostic (rule-in in high-risk group)No
TB detection assays for ultrarapid portable NAATLumiraDx (LumiraDx)Rapid molecular qSTAR/assayNAFirst product will use tongue swabsNA<30 minPoint-of-careDiagnosticNo (LumiraDx platform: yes)
RNA signature assaysXpert-MTB-HR (Cepheid), RISK6 signature assay (QuantuMDx)Host RNA response/PCRNABlood (Fingerprick)No pediatric data<1 hPoint-of-care (subject to instrument availability)TriageNo
TAM TB assayTAM-TB (Beckman Coulter)Flow cytometry/TB-specific biomarkers (CD38 and CD27)NABloodSE: 83%1
SP: 97%1
24 hDistrict laboratoryDiagnosticNo
AssayDiagnostic Platform/ToolTechnology2021 WHO Recommended Use (Pediatric)Recommended Specimen TypesDiagnostic Accuracy (MRS)Turnaround TimeTarget SettingTarget/Intended Use (Pediatric)Commercial Availability
Xpert MTB/RIFGeneXpert (Cepheid, USA)qPCRInitial test in children with signs and symptoms of TB (strong recommendation)Sputum, GA, NPA, stoolSE: 46–73%
SP: 98–100%
SE: 90% (RR)
SP: 98% (RR)
<2 hDistrict or subdistrict laboratoryDiagnosticYes
Xpert MTB/RIF UltraGeneXpert (Cepheid, USA)qPCR/melting temperature analysisInitial test in children with signs and symptoms of TB (strong recommendation)Sputum, GA, NPA, stoolSE: 46–73%
SP: 95–100%
<2 hDistrict or subdistrict laboratoryDiagnosticYes
Truenat MTB, MTB plus, MTB-RIF Dx. Under development: MTB-Ultima, MTB-INH, MTB-BDQ, MTB TB-COVID-19Truenat (Molbio)Micro RT-PCRInitial test in children with signs and symptoms of TB (conditional recommendation)SputumNo pediatric data<1 hPeripheral laboratory (potential point-of-care)DiagnosticYes
Loopamp MTBC assayLAMP assay kit (Eiken Corp.)Loop-mediated isothermal amplificationCurrently not recommended in childrenSputumSE: 80%1
SP: 100%1
<2 hPeripheral laboratoryDiagnosticYes
LAM Ag assayDetermine TB LAMAg test (Abbott)Lateral flowInitial test to assist diagnosis in: – all HIV-positive children with advanced disease, regardless of TB-suggestive symptoms;
- all HIV-positive children with TB-suggestive symptoms or seriously ill
UrineSE: 43–65%
SP: 57–91%
(HIV-positive children)
<1 hPoint-of-care (Inpatient and outpatient)Diagnostic (rule-in in high-risk group)Yes
Moderate complexity automated NAATSeveral platforms (Roche, Abbott, Hain, BD, Bioneer)High throughput molecular PCR/assayInitial test in children with signs and symptoms of TB (conditional recommendation)Respiratory samplesNo pediatric data6–8 hReference or district laboratoryDiagnosticYes
NGSSeveral platforms (Nanopore, Illumina, ThermoFisher) and assays [Deeplex Myc-TB (GenoScreen); DeepChek (ABL)]Targeted NGS/deep sequencing assays/WGSNASputum, culture isolatesNA<48 hReference or district laboratoryGenotypic drug susceptibility testingYes
Second-generation LAM Ag assaySILVAMP TB LAM (Fujifilm, Japan)Lateral flowNAUrineSE: 42–65%
SP: 84–92%
<1 hPoint-of-careDiagnostic (rule-in in high-risk group)No
TB detection assays for ultrarapid portable NAATLumiraDx (LumiraDx)Rapid molecular qSTAR/assayNAFirst product will use tongue swabsNA<30 minPoint-of-careDiagnosticNo (LumiraDx platform: yes)
RNA signature assaysXpert-MTB-HR (Cepheid), RISK6 signature assay (QuantuMDx)Host RNA response/PCRNABlood (Fingerprick)No pediatric data<1 hPoint-of-care (subject to instrument availability)TriageNo
TAM TB assayTAM-TB (Beckman Coulter)Flow cytometry/TB-specific biomarkers (CD38 and CD27)NABloodSE: 83%1
SP: 97%1
24 hDistrict laboratoryDiagnosticNo

References: [6, 12, 18–20, 33–35, 55].

Abbreviations: GA, gastric aspirate; INH, isoniazid; MRS, microbiological reference standard; NGS, next-generation sequencing; NPA, nasopharyngeal aspirate; RIF, rifampicin; RR, rifampicin resistance; SE, sensitivity; SP, specificity; WGS, whole genome sequencing.

One study.

Xpert MTB/RIF (Cepheid, USA) is a low-complexity, cartridge-based NAAT running on the GeneXpert platform (Cepheid, USA), recommended for the initial diagnosis of pediatric TB and rifampicin-resistance since 2013. As with smear microscopy and culture, the test sensitivity in children is lower than in adults and varies with specimen type (Table 1) [12]. In the initial phases of the global roll-out of Xpert, high-burden countries have faced implementational challenges [13]. Data from 21 National TB programs have not only shown improvement in the uptake of Xpert MTB/RIF but have also revealed that the technology has been under-utilized for TB detection [14]. Despite the diagnostic advantages over smear microscopy, Xpert as a standalone test has not proven able to overcome the intrinsic challenges of pediatric TB detection [7, 15]. Loop-mediated isothermal amplification (LAMP) is a higher-performance alternative to sputum smear microscopy, endorsed in 2016 by the WHO for adults [16]. Despite a fairly simple procedure, the uptake in TB-endemic countries is low [17]. LAMP cannot detect drug resistance and to date the WHO does not yet recommend it in children [6]. Recent evidence suggests that the diagnostic performance in pediatric samples is comparable to Xpert [18].

Line probe assays are high complexity hybridization-based NAATs for genotypic DST, recommended for use on smear or culture-positive pediatric samples [6].

Urine Tests

Lipoarabinomannan (LAM) is a lipopolysaccharide of the mycobacterial cell wall, released from Mtb and excreted in urine. The Alere Determine TB LAM (AlereLAM; Abbott, USA) is a rapid point-of-care lateral flow assay recommended in children living with human immunodeficiency virus (CLHIV) since 2016 [6] (Table 2).

AlereLAM showed a suboptimal diagnostic accuracy in CLHIV and adults. Nonetheless, it was recommended by the WHO, considering that a large-scale roll-out would have a significant impact on mortality reduction through early TB detection and treatment of high-risk groups [19, 20].

TOOLS FOR DIAGNOSING PEDIATRIC TB IN THE 2020S: WHAT’S NEW?

New WHO-Endorsed Rapid Microbiological Tests

Initial Diagnostic Tests

Xpert MTB/RIF Ultra (Ultra; Cepheid, USA).

Ultra is the new-generation Xpert MTB/RIF assay. Ultra runs on the same GeneXpert platform, at the same unit cost (FIND-Cepheid negotiated prices for the public sector in eligible countries) [21]. The assay has a new result category, “trace call,” indicating the presence of Mtb at the lowest limit of detection, which should be interpreted as a positive finding in children [6]. “Trace” detection might increase sensitivity in pediatric TB. Ultra-demonstrated superior sensitivity compared with Xpert MTF/RIF in pediatric sputum samples (pooled sensitivity 73% versus 65%) and has been endorsed by WHO for testing of GA, NPA, IS, and stool (Table 1) [6, 12]. Regarding the assay’s diagnostic accuracy, WHO currently recommends Ultra with moderate (GA and stool), low (IS), and very low (NPA) certainty of evidence [6]. Further studies evaluating the diagnostic performance of Ultra in pediatric specimens are ongoing.

Truenat™.

Truenat MTB, MTBplus, and MTB-RIF (Molbio, India) are chip-based micro-PCR assays that function on a compact, battery-operated device that requires minimal user input [6] (Table 2). Truenat showed comparable diagnostic accuracy to Xpert on sputum samples [22], with the advantages of truly portable hardware. Following a positive Truenat MTB or MTBplus test, MTB-RIF can be used as a reflex test to detect rifampicin resistance. All types have been conditionally endorsed by WHO for use in pediatric sputum specimens [6]. To date, there are, however, no published studies assessing test performance in children or on samples other than sputum.

Other Initial Diagnostic Tests.

Moderate-complexity automated NAAT are high-throughput assays that run on established multi-pathogen platforms and can simultaneously detect isoniazid and rifampicin resistance. The indications for use in children are extrapolated from adult data, anticipating that diagnostic performance might be lower in paucibacillary cases [6] (Table 2).

Follow-on Diagnostics for Additional Drug-Resistance Detection

This category includes the new Xpert MTB/XDR for detection of resistance to isoniazid and second-line anti-TB drugs, and high complexity hybridization-based NAAT for the detection of pyrazinamide resistance on culture isolates. Both assays are conditionally recommended in children [6].

Novel Specimens and Combination of Specimens for Microbiological Diagnosis

In 2021, testing of stool specimens for the initial diagnosis of childhood TB with Xpert/Ultra was recommended by the WHO, based on recent meta-analyses [23]. However, stool sensitivity is heterogeneous and might be lower in younger children [24]. In addition, stool specimens need processing before testing; but now several methods exist, including a simple one release-and-sedimentation step entirely using the Xpert/Ultra equipment [25]. The techniques showed comparable performances in experimental settings [26], and a diagnostic trial is ongoing [27]. Repeated sampling might increase diagnostic yield by up to 33% [28]. In addition, the collection of minimally invasive specimens to increase Xpert sensitivity is a promising strategy. One recent study showed that the combination of two NPAs (sensitivity 74%), or one NPA, and one stool sample (sensitivity 71%), performed comparably to criterion-standard specimens (two IS: 64% sensitivity; two GA: 77% sensitivity) in children younger than five years [29].

Novel Clinical Algorithms

Laboratory-based diagnosis in resource-limited settings remains challenging, and it is vital to identify approaches to refine the clinical decision-making processes to consider and diagnose TB at the PHCL more accurately. In HIV-uninfected children, a treatment-decision algorithm based on clinical assessment identified 71% of children with confirmed TB. The clinical evaluation included the history of TB exposure and symptoms (persistent cough, fever, weight loss/failure to thrive, lethargy, and hepatomegaly). The algorithm showed a sensitivity of >90% across all age groups, and a specificity of 52% if including CXR and Xpert MTB/RIF in the model [30]. A similar performance was seen in a treatment-decision score based on clinical and radiological findings in CLHIV (sensitivity: 89%; specificity: 61%) [31]. While clinical algorithms might represent valuable rule-out approaches, the role of radiology and Xpert to achieve greater specificity confirms the limitations of symptom-based diagnosis and the need for integrated strategies to minimize misdiagnosis.

WHAT IS IN THE FUTURE OF PEDIATRIC TB DIAGNOSTICS?

Recent advancements provide a reason for optimism, but the current diagnostic tools are still suboptimal or rarely available at the PHCL. The target of closing the pediatric TB detection gap is unlikely to be met without novel, more accurate diagnostics that can be used in affordable diagnostic algorithms, ideally at point-of-care or close to point-of-care [3, 32]. The specific challenges of pediatric TB diagnosis should ideally be considered in early-phase designs for a product (or strategy) to successfully meet the minimal diagnostic accuracy thresholds of target pediatric product profiles (TPP) set by the WHO to positively impact TB detection and outcomes [32]. Hence, the development of more sensitive pathogen-based assays for use on non-respiratory specimens, and the expansion of tests that use pediatric-specific biomarkers of the host response to Mtb are considered high priorities. Several novel assays and technologies at various stages of development hold promise using these approaches.

Pathogen-Based Assays

Assays for the Detection of Mycobacterial Antigens

FujiLAM and Ultra-Sensitive LAM.

The SILVAMP TB LAM test (FujiLAM, Fujifilm, Japan) is a second-generation lateral flow assay that uses high-affinity monoclonal antibodies and a silver-amplification step [33]. Pediatric studies have shown varying accuracy (Table 2), with a high specificity observed in malnourished children and CLHIV, for which FujiLAM might have a useful role as a rule-in test for children with a high pretest probability of disease [33, 34]. Ultra-sensitive LAM tests, using improved reagents and novel assay designs, are currently in early developmental stages [35].

Assays for the Detection of CFP-10 and ESAT-6.

In a proof-of-concept study, a high-throughput mass spectrometry assay for the detection of CFP-10 and ESAT-6 derived antigens in blood demonstrated high sensitivity and specificity in culture-negative (clinically diagnosed) adult TB patients [36]; the performance of pediatric specimens is currently being studied, but if adult results were to be confirmed, detection of Mtb circulating peptides could represent a promising non-sputum-based diagnostic approach for patients with the paucibacillary disease.

Molecular Diagnostic Assays

Point-of-Care NAAT.

Decentralization of pediatric TB services is a WHO priority [3]. Decentralizing molecular testing proved effective for same-day test-and-treat and improved disease outcomes in adults [37]. Battery-powered, ultrarapid point-of-care NAAT are in various stages of development and may represent useful tools for test decentralization strategies, ideally in combination with minimally-invasive, non-sputum specimens [35]. Operational research and modelling exercises will be key to understanding feasibility and impact on pediatric populations.

Next-Generation Sequencing (NGS).

NGS-based assays can provide information on the whole mycobacterial genome (WGS) or identify gene regions of interest with targeted NGS. Sequencing can detect mixed infections or re-infections with different strains, and inform about transmission chains [38]. NGS is emerging as a tool for DST, as compared with culture and probe-based assays. NGS and WGS are powerful tools for quick, accurate and extensive genome profiling and can also distinguish silent mutations [39]. End-to-end solutions using targeted sequencing assays that do not require DNA extraction from culture isolates are expanding [40]. NGS technology is limited by high-costs, the need for expertise and robust bioinformatic systems. Capacity has been greatly improved through the COVID-19 pandemic and portable sequencing devices are now available. Portable NGS tools will become increasingly useful in the future, but the road to large-scale applicability for DST in endemic countries is still long [41].

Circulating Free DNA (cfDNA).

cfDNA is gaining momentum as a microbial biomarker in infectious disease diagnostics [42]. In a proof-of-concept study, Mtb cfDNA was found in the plasma of non-mycobacteremic patients with smear-positive TB. Pending validation in pediatric cohorts, cfDNA assays might become an alternative to point-of-care diagnostics on respiratory specimens [42].

Novel Specimens for Molecular Diagnostic Assays

The WHO policy inclusion of stool samples for testing with Xpert and the high sensitivity achieved by combinations of minimally invasive specimens mark the importance of expanding research on child-friendly samples. Mtb is detectable in adult patients with TB using oral swabs (OS) with fair accuracy [43], however, in one pediatric study, the sensitivity of one OS with an in-house PCR was low (30% against the microbiological reference standard) [44]. Another recent study showed that Ultra on pediatric OS had a low sensitivity (22%) against microbiologically confirmed TB on IS [45]. Bioaerosols sampling, for example, in face masks (FM) has been suggested for the detection of exhaled Mtb and other respiratory pathogens [46]. This simple method can be used in combination with existing NAATs and it showed high sensitivity to detecting subclinical disease in an active case-finding pilot study [46]. There are currently no studies assessing the feasibility of FM sampling in children, however, FM and OS appear to be child-friendly collection methods that have the potential to be implemented at the PHCL on point-of-care NAAT (Table 1).

Assays for the Detection of Breath Metabolites

Several studies have demonstrated the biomarker potential of volatile organic molecules (VOC) in exhaled breath of individuals with TB. In a recent study, a 4-compound VOC signature distinguished children with TB with high accuracy [47]. African giant pouched rats trained to “sniff” TB on pediatric sputum samples significantly increased case detection [48], but the feasibility and end-user acceptability should be determined in large-scale programmatic interventions before considering the use of trained rats as a first-line TB screening approach. “E-nose” devices are also undergoing evaluation and some prototypes have shown promise as screening tests in adults, but pediatric data are still lacking [49].

Host-Based Assays

Assays Based on Host RNA Response

Host RNA expression patterns in response to Mtb can be used to identifying patients with TB; in a cohort of African children a 51-transcript signature distinguished TB from other diseases with a sensitivity just below the TPP threshold for a triage test, and with good specificity [50]. Data from this study and adult datasets contributed to identify a 3-transcript signature [51]. A point-of-care, cartridge-based prototype leveraging the GeneXpert platform, measure this signature in the capillary, for example, finger-prick, whole blood to generate a “TB score” to distinguish active TB [52]. In an interim analysis, the assay achieved the minimal TPP for a triage test in adults [52]. Pediatric studies on this host-response cartridge are ongoing. Other RNA signatures have been found to have high diagnostic accuracy in children and warrant further validation studies [53]. In adults, transcriptional signatures are also promising correlates of the risk of disease progression [54]. Transcriptomic biomarker-based point-of-care assays for incipient TB and treatment monitoring are also in development [35].

T-cell activation marker TB assay (TAM-TB) Assay

The T-cell activation marker TB assay (TAM-TB) is a flow-cytometry assay that measures the differential expression of activation and maturation markers on CD4+T-cells in response to Mtb infection [55]. In a proof-of-concept study among children in Tanzania, it met the TPP for a diagnostic test [55]. Commercial TAM-TB assays are in development and pediatric studies are ongoing [35]. Large prospective studies to evaluate TAM-TB performance in the field are underway, but to date it remains an expensive and rather complex technique, not suitable for the PHCL. However, one recent study demonstrated the successful implementation of the assay at the district level in a resource-limited setting [56], and it is desirable that flow-cytometry-based assays could be made more portable, similar to the instruments for rapid molecular diagnosis.

Chemokine and Cytokine Biomarkers for the Diagnosis of TB

Research activities focusing on identifying candidate cytokine and chemokine biomarkers from antigen-stimulated (to elicit Mtb-specific responses) or unstimulated blood samples as correlates to improve pediatric TB diagnosis are an active field. In one study, IL-2, IL-13, and CXCL10 (also known as IP-10) emerged as high-performance cytokines to discriminate TB from other diseases in TB-exposed children; IL-1ra and TNF-α levels differed significantly between active and latent TB, suggesting a potential role as stage-specific biomarkers [57]. In another study, IL-1ra, IL-7, and IP-10 were distinguished with good accuracy children diagnosed with TB from other respiratory illnesses, and might constitute a candidate for use as a triage test in children [58].

Exosomal Markers for the Diagnosis of TB

Exosomes are extracellular vesicles released by cells in both physiological and stress conditions such as infections. Exosome-associated molecules are increasingly studied as potential diagnostic TB biomarkers. Proteins and microRNA associated with exosomes derived from Mtb-infected cells have been identified in various biospecimens, including in one pediatric study, and omics approaches might help to further identify the most promising candidate biomarker signatures [59].

Novel Specimens for Host-Based Assays

Saliva is rich in immune response proteins [60]. Adult studies suggest that salivary cytokine and other protein biosignatures are promising TB screening biomarkers, but pediatric-specific ones have yet to be identified. Saliva collection is child-friendly, and this specimen would be well suited for a potential host-based triage test [60].

The Role of Omics in Diagnostics Discovery

As outlined above, promising and significant progress has been made in the field of transcriptomics for TB diagnostics in the last decade [50, 51, 53]. In recent years, other omics fields including proteomics, metabolomics, and lipidomics have gained increasing interest. Deep plasma profiling is possible thanks to novel techniques of mass spectrometry, functional proteomics, and robust bioinformatics. One recent study provided a comprehensive profile of a TB plasma proteome, identifying a promising 5-protein panel for diagnosis of active TB among adults [61]. In addition, proteomic signatures have shown promise as potential tests to identify individuals at increased risk of progression to active TB [62]. The discovery of novel analytes is not limited to the immunoproteome: proteomic microarray approaches are increasingly used to identify Mtb peptides that might discriminate between latent and active infection [63]. Pediatric proteomic data are limited, but studies are currently underway.

The field of metabolomics studies metabolic dysregulations in the host associated with TB. Recent pediatric studies have identified panels of blood metabolites that distinguished TB from other diseases [64, 65], and showed good diagnostic accuracy for TB [66], suggesting potential future applicability of host metabolites in triage tests for children.

As demonstrated with LAM, species- and strain-specific lipoglycans and mycolic acids might represent suitable diagnostic biomarkers. The advances in mass spectrometry techniques have expanded to lipidomics, leading to the creation of libraries of newly identified mycobacterial lipids that need further characterization but hold promise for use in diagnostics [67]. Host lipidomic profiling is also emerging as the role of pro-inflammatory lipidic mediators in TB susceptibility and immunopathogenesis is being delineated [68]. Pediatric studies in this area would be desirable.

However, high costs and complexity limit the use of omics technologies. Pediatric datasets have been rarely included in discovery studies so far, and further clinical studies in different pediatric populations are needed to validate adult signatures and derive pediatric-specific ones. Nonetheless, omics approaches are a valuable tool to improve our multidimensional understanding of complex host-pathogen interactions and are emerging as potentially key tools specifically for novel biomarker discovery and the development of novel TB diagnostics.

Digital Health

Computer-Aided Detection

Computer-aided detection (CAD) proved to be an accurate tool that can replace human reader interpretation of CXRs among adults and also overcome inter-reader variability [69]. Although some manufacturers have claims for use in children above the age of five years [65], there are currently no data on the application of CAD to pediatric radiographs and the peculiarities of disease presentation warrant an evaluation on pediatric CXR libraries. CAD also has the potential to be expanded to ultraportable digital X-ray systems, thus potentially becoming an important tool for active case finding and testing decentralization strategies in low-resource settings [70].

AI-Enabled Point-of-Care Lung Ultrasound

Point-of-care lung ultrasound is recognized as a potentially valuable diagnostic approach and holds promise for the detection of pulmonary and extrapulmonary TB in children [71]. Preliminary studies on children with pneumonia suggest that AI-enabled point-of-care lung ultrasound may become an option in the future [72].

CONCLUSIONS

Although pediatric TB still represents a diagnostic challenge, the 2020s have witnessed unprecedented progress. Portable point-of-care NAATs for service decentralization, novel non-respiratory specimens, and combinations of child-friendly samples warrant further exploration, likely in integrated strategies, to identify the most effective and feasible diagnostic and screening approaches. Clinical algorithms are sensitive screening tools for PHCL, whose specificity could be improved by embedding more sensitive and true point-of-care rapid microbiological or host-based biomarker tests or CAD. Nevertheless, many assays in the most advanced stages of development urgently need validation in pediatric populations and are far from the wide-scale application. In the search for the next-generation of pediatric diagnostic testing approaches, it is key that children are included in early-phase studies and that operational challenges are promptly addressed. The ideal test must demonstrate a clear diagnostic and therapeutic impact, and ultimately improve patient outcomes. Pediatric TB is treatable, and timely and accurate detection can increase access to shorter and child-friendly regimens [23], avoid evitable deaths, and contribute to TB control globally.

Notes

Financial support. F. W. B. and R. S. were supported by the National Institute of Allergy and Infectious Diseases of the National Institutes of Health under Award Numbers NIH/NIAID 1UO1AI52084-01 and NIH/NIAID 1RO1AI152159-01. The content is solely the responsibility of the authors and does not necessarily represent the official views of the National Institutes of Health.

Supplement sponsorship. This article appears as part of the supplement “What’s New in Childhood Tuberculosis?” sponsored by the Stop TB Partnership.

Potential conflicts of interest. P. N. and M. R. are employed by FIND, Geneva, Switzerland, a not-for-profit foundation that supports the evaluation of publicly prioritized tuberculosis assays and the implementation of WHO-approved (guidance and prequalification) assays using donor grants. FIND has product evaluation agreements with several private sector companies that design diagnostics for tuberculosis and other diseases. These agreements strictly define FIND's independence and neutrality with regards to these private sector companies. F. W. B. and R. S. have nothing to disclose.

All authors have submitted the ICMJE Form for Disclosure of Potential Conflicts of Interest. Conflicts that the editors consider relevant to the content of the manuscript have been disclosed.

References

1.

World Health Organization.
Global tuberculosis report 2021
.
2021
. https://www.who.int/publications/i/item/9789240037021. Accessed March 1, 2022.

2.

Dodd
PJ
,
Yuen
CM
,
Sismanidis
C
,
Seddon
JA
,
Jenkins
HE.
The global burden of tuberculosis mortality in children: a mathematical modelling study
.
Lancet Glob Heal
2017
;
5
:
e898
906
.

3.

World Health Organization.
Roadmap Towards Ending TB in Children and Adolescents [Internet]
.
2018
. https://apps.who.int/iris/bitstream/handle/10665/274374/9789241514668-eng.pdf

4.

Marais
BJ
,
Gie
RP
,
Schaaf
HS
, et al. .
The natural history of childhood intra-thoracic tuberculosis: a critical review of literature from the pre-chemotherapy era
.
Int J Tuberc Lung Dis
2004
;
8
:
392
402
.

5.

Kaguthi
G
,
Nduba
V
,
Nyokabi
J
,
Onchiri
F
,
Gie
R
,
Borgdorff
M.
Chest radiographs for pediatric TB diagnosis: interrater agreement and utility
.
Interdiscip Perspect Infect Dis
2014
;
2014
:
291841
.

6.

World Health Organization.
WHO consolidated guidelines on tuberculosis. Module 3: Diagnosis - Rapid diagnostics for tuberculosis detection 2021 update [Internet]
.
2021
. https://www.who.int/publications/i/item/9789240029415. Accessed March 1, 2022.

7.

Kizito
S
,
Katamba
A
,
Marquez
C
, et al. .
Quality of care in childhood tuberculosis diagnosis at primary care clinics in Kampala, Uganda
.
Int J Tuberc Lung Dis
2018
;
22
:
1196
202
.

8.

DiNardo
AR
,
Hahn
A
,
Leyden
J
, et al. .
Use of string test and stool specimens to diagnose pulmonary tuberculosis
.
Int J Infect Dis
2015
;
41
:
50
2
.

9.

Kunkel
A
,
Abel zur Wiesch
P
,
Nathavitharana
RR
,
Marx
FM
,
Jenkins
HE
,
Cohen
T.
Smear positivity in paediatric and adult tuberculosis: systematic review and meta-analysis.
BMC Infect Dis
2016
;
16
(
1
).

10.

DiNardo
AR
,
Detjen
A
,
Ustero
P
,
Ngo
K
,
Bacha
J
,
Mandalakas
AM.
Culture is an imperfect and heterogeneous reference standard in pediatric tuberculosis.
Tuberculosis
2016
;
101
:
S105
8
.

11.

Rageade
F
,
Picot
N
,
Blanc-Michaud
A
, et al. .
Performance of solid and liquid culture media for the detection of Mycobacterium tuberculosis in clinical materials: meta-analysis of recent studies
.
Eur J Clin Microbiol Infect Dis
2014
;
33
:
867
70
.

12.

Kay
AW
,
González Fernández
L
,
Takwoingi
Y
, et al. .
Xpert MTB/RIF and Xpert MTB/RIF Ultra assays for active tuberculosis and rifampicin resistance in children.
Cochrane Database Syst Rev
2020
;
2020
(
8
).

13.

Albert
H
,
Nathavitharana
RR
,
Isaacs
C
,
Pai
M
,
Denkinger
CM
,
Boehme
CC.
Development, roll-out and impact of Xpert MTB/RIF for tuberculosis: what lessons have we learnt and how can we do better?
Eur Respir J
2016
;
48
(
2
):
516
.

14.

Cazabon
D
,
Pande
T
,
Kik
S
, et al. .
Market penetration of Xpert MTB/RIF in high tuberculosis burden countries: a trend analysis from 2014-2016
.
Gates Open Res
2018
;
2
:
35
.

15.

Kasa Tom
S
,
Welch
H
,
Kilalang
C
, et al. .
Evaluation of Xpert MTB/RIF assay in children with presumed pulmonary tuberculosis in Papua New Guinea
.
Paediatr Int Child Health
2018
;
38
:
97
105
.

16.

World Health Organization.
The use of loop-mediated isothermal amplification (TB-LAMP) for the diagnosis of pulmonary tuberculosis [Internet]
.
2016
[cited 2022 May 26]. https://apps.who.int/iris/handle/10665/249154. Accessed March 1, 2022.

17.

Shete
PB
,
Farr
K
,
Strnad
L
,
Gray
CM
,
Cattamanchi
A.
Diagnostic accuracy of TB-LAMP for pulmonary tuberculosis: a systematic review and meta-analysis
.
BMC Infect Dis
2019
;
19
(
1
):
268
.

18.

Promsena
P
,
Jantarabenjakul
W
,
Suntarattiwong
P
, et al. .
Diagnostic accuracy of loop-mediated isothermal amplification (TB-LAMP) for tuberculosis in children
.
J Pediatric Infect Dis Soc
2022
;
11
:
9
15
.

19.

Lacourse
SM
,
Pavlinac
PB
,
Cranmer
LM
, et al. .
Stool Xpert MTB/RIF and urine lipoarabinomannan for the diagnosis of tuberculosis in hospitalized HIV-infected children
.
AIDS
2018
;
32
:
69
78
.

20.

Nicol
MP
,
Allen
V
,
Workman
L
, et al. .
Urine lipoarabinomannan testing for diagnosis of pulmonary tuberculosis in children: a prospective study
.
Lancet Glob Heal
2014
;
2
:
e278
.

21.

FIND.
GeneXpert® - FIND [Internet]
. [cited 2022 Jul 11]. https://www.finddx.org/pricing/genexpert/. Accessed March 1, 2022.

22.

Penn-Nicholson
A
,
Gomathi
SN
,
Ugarte-Gil
C
, et al. .
A prospective multicentre diagnostic accuracy study for the Truenat tuberculosis assays
.
Eur Respir J
2021
;
58
:
2100526
.

23.

World Health Organization.
Rapid communication on updated guidance on the management of tuberculosis in children and adolescents [Internet]
.
2021
[cited 2022 Feb 13]. https://www.who.int/publications/i/item/9789240033450. Accessed March 1, 2022.

24.

Gebre
M
,
Cameron
LH
,
Tadesse
G
,
Woldeamanuel
Y
,
Wassie
L.
Variable diagnostic performance of stool Xpert in pediatric tuberculosis: a systematic review and meta-analysis
.
Open Forum Infect Dis
2021
;
8
(
8
):
ofaa627
.

25.

De Haas
P
,
Yenew
B
,
Mengesha
E
, et al. .
The Simple One-Step (SOS) stool processing method for use with the Xpert MTB/RIF assay for a child-friendly diagnosis of tuberculosis closer to the point of care
.
J Clin Microbiol
2021
;
59
(
8
):
e0040621
.

26.

Jasumback
CL
,
Dlamini
Q
,
Kahari
J
, et al. .
Laboratory comparison of stool processing methods for Xpert® Ultra
.
Public Heal Action
2021
;
11
:
55
.

27.

ClinicalTrials.gov.

Evaluation of Four Stool Processing Methods Combined With Xpert MTB/RIF Ultra for Diagnosis of Intrathoracic Paediatric TB (TB-Speed - Stool Processing) [Internet]
.
Bethesda (MD): National Library of Medicine (US);
2019
[cited 2022 March 01]. Identifier: NCT04203628
. https://clinicaltrials.gov/ct2/show/NCT04203628.

28.

Ioos
V
,
Cordel
H
,
Bonnet
M.
Alternative sputum collection methods for diagnosis of childhood intrathoracic tuberculosis: a systematic literature review
.
Arch Dis Child
2019
;
104
:
629
35
.

29.

Song
R
,
Click
ES
,
McCarthy
KD
, et al. .
Sensitive and feasible specimen collection and testing strategies for diagnosing tuberculosis in young children
.
JAMA Pediatr
.
2021
;
175
:
e206069
.

30.

Gunasekera
KS
,
Walters
E
,
Van Der Zalm
MM
, et al. .
Development of a treatment-decision algorithm for human immunodeficiency virus-uninfected children evaluated for pulmonary tuberculosis
.
Clin Infect Dis
.
2021
;
73
:
E904
12
.

31.

Marcy
O
,
Borand
L
,
Ung
V
, et al. .
A treatment-decision score for HIV-infected children with suspected tuberculosis
.
Pediatrics
.
2019
;
144
(
3
):
e20182065
.

32.

Denkinger
CM
,
Kik
SV
,
Cirillo
DM
, et al. .
Defining the needs for next generation assays for tuberculosis
.
J Infect Dis
2015
;
211
(
Suppl 2
):
S29
38
.

33.

Nicol
MP
,
Schumacher
SG
,
Workman
L
, et al. .
Accuracy of a novel urine test, fujifilm SILVAMP tuberculosis lipoarabinomannan, for the diagnosis of pulmonary tuberculosis in children
.
Clin Infect Dis An Off Publ Infect Dis Soc Am
2021
;
72
:
e280
.

34.

Nkereuwem
E
,
Togun
T
,
Gomez
MP
, et al. .
Comparing accuracy of lipoarabinomannan urine tests for diagnosis of pulmonary tuberculosis in children from four African countries: a cross-sectional study
.
Lancet Infect Dis
2021
;
21
:
376
84
.

35.

TAG.
2021 TAG Pipeline Report- Tuberculosis Diagnostics [Internet]
.
2021
. https://www.treatmentactiongroup.org/wp-content/uploads/2021/11/pipeline_TB_diagnostics_2021_final.pdf. Accessed March 1, 2022.

36.

Liu
C
,
Lyon
CJ
,
Bu
Y
, et al. .
Clinical evaluation of a blood assay to diagnose paucibacillary tuberculosis via bacterial antigens
.
Clin Chem
2018
;
64
:
791
800
.

37.

Cattamanchi
A
,
Reza
TF
,
Nalugwa
T
, et al. .
Multicomponent strategy with decentralized molecular testing for tuberculosis
.
N Engl J Med
2021
;
385
:
2441
50
.

38.

Guthrie
JL
,
Pizzi
AD
,
Roth
D
, et al. .
Genotyping and whole-genome sequencing to identify tuberculosis transmission to pediatric patients in British Columbia, Canada, 2005-2014
.
J Infect Dis
2018
;
218
:
1155
63
.

39.

Bonnet
I
,
Enouf
V
,
Morel
F
, et al. .
A Comprehensive Evaluation of GeneLEAD VIII DNA Platform Combined to Deeplex Myc-TB® Assay to Detect in 8 Days Drug Resistance to 13 Antituberculous Drugs and Transmission of Mycobacterium tuberculosis Complex Directly From Clinical Samples
.
Front Cell Infect Microbiol
2021
;
11
:
707244
.

40.

Cabibbe
AM
,
Spitaleri
A
,
Battaglia
S
, et al. .
Application of targeted next-generation sequencing assay on a portable sequencing platform for culture-free detection of drug-resistant tuberculosis from clinical samples
.
J Clin Microbiol
2020
;
58
(
10
):
e00632-20
.

41.

Dippenaar
A
,
Goossens
SN
,
Grobbelaar
M
, et al. .
Nanopore Sequencing for Mycobacterium tuberculosis: a critical review of the literature, new developments, and future opportunities
.
J Clin Microbiol
2022
;
60
(
1
):
e0064621
.

42.

Click
ES
,
Murithi
W
,
Ouma
GS
, et al. .
Detection of apparent cell-free M. tuberculosis DNA from Plasma
.
Sci Rep
2018
;
8
(
1
):
645
.

43.

LaCourse
SM
,
Seko
E
,
Wood
R
, et al. .
Diagnostic performance of oral swabs for non-sputum based TB diagnosis in a TB/HIV endemic setting
.
PLoS One
2022
;
17
:
e0262123
.

44.

Nicol
MP
,
Wood
RC
,
Workman
L
, et al. .
Microbiological diagnosis of pulmonary tuberculosis in children by oral swab polymerase chain reaction
.
Sci Rep
2019
;
9
(
1
):
10789
.

45.

Cox
H
,
Workman
L
,
Bateman
L
, et al. .
Oral swabs tested with Xpert MTB/RIF Ultra for diagnosis of pulmonary tuberculosis in children: a diagnostic accuracy study
.
Clin Infect Dis
2022
:
ciac332
. doi: 10.1093/cid/ciac332.

46.

Williams
CM
,
Abdulwhhab
M
,
Birring
SS
, et al. .
Exhaled Mycobacterium tuberculosis output and detection of subclinical disease by face-mask sampling: prospective observational studies
.
Lancet Infect Dis
2020
;
20
:
607
17
.

47.

Bobak
CA
,
Kang
L
,
Workman
L
, et al. .
Breath can discriminate tuberculosis from other lower respiratory illness in children
.
Sci Rep
2021
;
11
(
1
):
2704
.

48.

Mgode
GF
,
Cox
CL
,
Mwimanzi
S
,
Mulder
C.
Pediatric tuberculosis detection using trained African giant pouched rats
.
Pediatr Res
2018
;
84
:
99
103
.

49.

Quesada
L
,
De Frías
SP
,
Di Toro
G
, et al. .
Late breaking abstract - an electronic nose as a screening tool for childhood tuberculosis
.
Eur Respir J
2018
;
52
(
suppl 62
):
PA4757
.

50.

Anderson
ST
,
Kaforou
M
,
Brent
AJ
, et al. .
Diagnosis of Childhood Tuberculosis and Host RNA Expression in Africa
.
N Engl J Med
2014
;
370
:
1712
23
.

51.

Sweeney
TE
,
Braviak
L
,
Tato
CM
,
Khatri
P.
Genome-wide expression for diagnosis of pulmonary tuberculosis: a multicohort analysis
.
Lancet Respir Med
2016
;
4
:
213
24
.

52.

Sutherland
JS
,
van der Spuy
G
,
Gindeh
A
, et al. .
Diagnostic Accuracy of the Cepheid 3-gene Host Response Fingerstick Blood Test in a Prospective, Multi-site Study: Interim Results
.
Clin Infect Dis
2021
;
74
(
12
):
2136
41
.

53.

Gjøen
JE
,
Jenum
S
,
Sivakumaran
D
, et al. .
Novel transcriptional signatures for sputum-independent diagnostics of tuberculosis in children
.
Sci Rep
2017
;
7
(
1
):
5839
.

54.

Scriba
TJ
,
Fiore-Gartland
A
,
Penn-Nicholson
A
, et al. .
Biomarker-guided tuberculosis preventive therapy (CORTIS): a randomised controlled trial
.
Lancet Infect Dis
2021
;
21
:
354
65
.

55.

Portevin
D
,
Moukambi
F
,
Clowes
P
, et al. .
Assessment of the novel T-cell activation marker-tuberculosis assay for diagnosis of active tuberculosis in children: a prospective proof-of-concept study
.
Lancet Infect Dis
2014
;
14
:
931
8
.

56.

Hiza
H
,
Hella
J
,
Arbués
A
, et al. .
Case–control diagnostic accuracy study of a non-sputum CD38-based TAM-TB test from a single milliliter of blood
.
Sci Reports
2021
;
11
:
1
9
.

57.

Sudbury
EL
,
Otero
L
,
Tebruegge
M
, et al. .
Mycobacterium tuberculosis-specific cytokine biomarkers for the diagnosis of childhood TB in a TB-endemic setting
.
J Clin Tuberc other Mycobact Dis
2019
;
16
:
100102
.

58.

Togun
T
,
Hoggart
CJ
,
Agbla
SC
, et al. .
A three-marker protein biosignature distinguishes tuberculosis from other respiratory diseases in Gambian children
.
EBioMedicine
2020
;
58
:
102909
.

59.

Biadglegne
F
,
König
B
,
Rodloff
AC
,
Dorhoi
A
,
Sack
U.
Composition and clinical significance of exosomes in tuberculosis: a systematic literature review
.
J Clin Med
2021
;
10
:
1
18
.

60.

Khambati
N
,
Olbrich
L
,
Ellner
J
,
Salgame
P
,
Song
R
,
Bijker
EM.
Host-based biomarkers in saliva for the diagnosis of pulmonary tuberculosis in children: a mini-review
.
Front Pediatr
2021
;
9
:
756043
.

61.

Garay-Baquero
DJ
,
White
CH
,
Walker
NF
, et al. .
Comprehensive plasma proteomic profiling reveals biomarkers for active tuberculosis
.
JCI Insight
2020
;
5
(
18
):
e137427
.

62.

Penn-Nicholson
A
,
Hraha
T
,
Thompson
EG
, et al. .
Discovery and validation of a prognostic proteomic signature for tuberculosis progression: a prospective cohort study
.
PLoS Med
2019
;
16
:
e1002880
.

63.

Li
Z
,
Hu
J
,
Liu
P
,
Cui
D
,
Di
H
,
Wu
S.
Microarray-based selection of a serum biomarker panel that can discriminate between latent and active pulmonary TB
.
Sci Rep
2021
;
11
(
1
):
14516
.

64.

Andreas
NJ
,
Basu Roy
R
,
Gomez-Romero
M
, et al. .
Performance of metabonomic serum analysis for diagnostics in paediatric tuberculosis
.
Sci Rep
2020
;
10
(
1
):
7302
.

65.

Tornheim
JA
,
Paradkar
M
,
Zhao
H
, et al. .
The kynurenine/tryptophan ratio is a sensitive biomarker for the diagnosis of pediatric tuberculosis among Indian children
.
Front Immunol
2022
;
12
:
774043
.

66.

Dutta
NK
,
Tornheim
JA
,
Fukutani
KF
, et al. .
Integration of metabolomics and transcriptomics reveals novel biomarkers in the blood for tuberculosis diagnosis in children
.
Sci Rep
2020
;
10
(
1
):
19527
.

67.

Layre
E
,
Al-Mubarak
R
,
Belisle
JT
,
Branch Moody
D.
Mycobacterial Lipidomics
.
Microbiol Spectr
2014
;
2
(
3
).

68.

Shivakoti
R
,
Dalli
J
,
Kadam
D
, et al. .
Lipid mediators of inflammation and resolution in individuals with tuberculosis and tuberculosis-diabetes
.
Prostaglandins Other Lipid Mediat
2020
;
147
:
106398
.

69.

Codlin
AJ
,
Dao
TP
,
Vo
LNQ
, et al. .
Independent evaluation of 12 artificial intelligence solutions for the detection of tuberculosis
.
Sci Reports
2021
;
11
:
1
11
.

70.

Vo
LNQ
,
Codlin
A
,
Ngo
TD
, et al. .
Early evaluation of an ultra-portable X-ray system for tuberculosis active case finding
.
Trop Med Infect Dis
2021
;
6
.

71.

Bélard
S
,
Heuvelings
CC
,
Banderker
E
, et al. .
Utility of Point-of-care Ultrasound in Children With Pulmonary Tuberculosis
.
Pediatr Infect Dis J
2018
;
37
:
637
42
.

72.

Correa
M
,
Zimic
M
,
Barrientos
F
, et al. .
Automatic classification of pediatric pneumonia based on lung ultrasound pattern recognition
.
PLoS One
2018
;
13
:
e0206410
.

Author notes

These authors contributed equally.

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