Diagnostic Challenges in Childhood Pulmonary Tuberculosis-Optimizing the Clinical Approach
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Updated: Sep 26, 2025

An Automated Culture System for Use in Preclinical Testing of Host-Directed Therapies for Tuberculosis
Published on: August 16, 2021
Kenneth S Gunasekera1, Bryan Vonasek2, Jacquie Oliwa3,4
1Department of Epidemiology of Microbial Diseases, Yale School of Public Health, New Haven, CT 06510, USA.
Insights
Clinical symptom and sign assessments offer practical guidance for diagnosing childhood tuberculosis (TB) and initiating TB preventive treatment (TPT) in high-incidence settings, improving access to care.
Area of Science:
- Pediatrics
- Infectious Diseases
- Public Health
Background:
- Childhood tuberculosis (TB) diagnosis is challenged by low-sensitivity microbiological tests and limited accessibility.
- Effective TB case detection and prevention are crucial for achieving global child mortality reduction targets.
Purpose of the Study:
- To provide practical guidance on using clinical symptoms and signs for TB management in children.
- To inform decision-making for TB preventive treatment (TPT) and TB disease treatment in high-TB incidence settings.
Main Methods:
- Review of existing evidence and guidelines on clinical approaches for childhood TB evaluation.
- Focus on symptom screening for TPT eligibility and algorithmic approaches for TB disease diagnosis.
Main Results:
- Symptom screens can identify children needing further TB disease investigation before TPT.
- Algorithmic approaches can guide TB treatment decisions for symptomatic children without definitive confirmation.
Conclusions:
- Clinical assessment strategies are valuable, accessible tools for TB management in resource-limited settings.
- Despite accuracy limitations, clinical approaches enhance TB treatment access for children.
Abstract:
The management of childhood tuberculosis (TB) is hampered by the low sensitivity and limited accessibility of microbiological testing. Optimizing clinical approaches is therefore critical to close the persistent gaps in TB case detection and prevention necessary to realize the child mortality targets of the End TB Strategy. In this review, we provide practical guidance summarizing the evidence and guidelines describing the use of symptoms and signs in decision making for children being evaluated for either TB preventive treatment (TPT) or TB disease treatment in high-TB incidence settings. Among at-risk children being evaluated for TPT, a symptom screen may be used to differentiate children who require further investigation for TB disease before receiving TPT. For symptomatic children being investigated for TB disease, an algorithmic approach can inform which children should receive TB treatment, even in the absence of imaging or microbiological confirmation. Though clinical approaches have limitations in accuracy, they are readily available and can provide valuable guidance for decision making in resource-limited settings to increase treatment access. We discuss the trade-offs in using them to make TB treatment decisions.
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