Development of a Diagnostic Prediction Score for Tuberculosis in Hospitalized Children With Severe Acute Malnutrition (TB-Speed SAM)
NCT ID: NCT04240990
Last Updated: 2025-12-10
Study Results
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Basic Information
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COMPLETED
NA
603 participants
INTERVENTIONAL
2019-11-04
2022-06-20
Brief Summary
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Detailed Description
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A diagnostic prediction score and algorithm was recently proposed by the investigators for TB treatment decision in HIV-infected children with presumptive TB (developed in the ANRS 12229 PAANTHER 01 study). Based on easily collected clinical features, chest X-Ray (CXR), Xpert MTB/RIF, and abdominal ultrasonography, the score aims to help clinicians make a same-day treatment decision. Such a prediction score improving TB diagnosis and shortening time to treatment initiation would be a key benefit in children with SAM.
Based on this experience, the investigators are proposing a diagnostic cohort study enrolling hospitalized severely malnourished children. The study will include the evaluation of several diagnostic tests that could be integrated in the development of a prediction model and subsequent score for the diagnosis of TB in hospitalized children with SAM. This will include Xpert MTB/RIF Ultra performed on one nasopharyngeal aspirate (NPA) and one stool sample, CXR, Quantiferon (QFT) Interferon-Gamma Release Assay (IGRA), Monocyte-to-lymphocyte ratio (MLR), and ultrasonography, which has shown its interest for the diagnosis of TB in both HIV-infected adults and children. In the PAANTHER study, it detected abdominal lymphadenopathy in 50% of culture confirmed TB cases and 35% of all confirmed and unconfirmed cases, with a specificity of 85%.
Using logistic regression, a score will be developed for TB diagnosis, considering confirmed and unconfirmed TB as reference diagnosis, in hospitalized children with SAM. As a secondary objective, and in order to reduce costs, sample collection, and complexity of the diagnostic process, a first-step screening score (excluding Ultra, abdominal ultrasound, and CXR if possible) will be developed to identify children with presumptive TB who would benefit from further diagnostic testing.
Both scores will be internally validated using resampling and will be incorporated in a stepwise algorithm to guide practical implementation of the screening and diagnosis process. The stepwise algorithm will be discussed with local clinicians involved in the study to better adapt it for future use in their routine practice.
The study will be implemented at inpatient nutrition centres from three selected tertiary hospitals in Uganda, and Zambia. A total of 720 children \<5 years old with WHO-defined severe acute malnutrition will be enrolled, that is approximately 240 participants per hospital.
Conditions
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Study Design
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NA
SINGLE_GROUP
DIAGNOSTIC
NONE
Study Groups
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Prospective cohort
Children included in the cohort will all be in the same arm. The patients will benefit from standard-of-care TB diagnosis with additional diagnostic methods.
Development of a score and algorithm for TB treatment decision in hospitalised children with SAM.
The diagnostic strategy will include an initial clinical, radiographic and bacteriological evaluation of all enrolled children:
* TB contact history
* Suggestive TB symptoms in the previous 4 weeks
* Physical examination
* Clinical, anthropometric and biochemical assessment of malnutrition
* Clinical assessment for other non-dietary causes of malnutrition
* Digitalized CXR
* Ultra performed on NPA and stool samples, and one gastric aspirate (GA)
* Mycobacterial culture performed on two GAs
* Abdominal ultrasonography
* QuantiFERON®-TB Gold IGRA
* Monocyte-to-Lymphocyte Ratio (MLR)
* C-Reactive Protein (CRP)
TB diagnosis will be made according to national TB guidelines.
Interventions
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Development of a score and algorithm for TB treatment decision in hospitalised children with SAM.
The diagnostic strategy will include an initial clinical, radiographic and bacteriological evaluation of all enrolled children:
* TB contact history
* Suggestive TB symptoms in the previous 4 weeks
* Physical examination
* Clinical, anthropometric and biochemical assessment of malnutrition
* Clinical assessment for other non-dietary causes of malnutrition
* Digitalized CXR
* Ultra performed on NPA and stool samples, and one gastric aspirate (GA)
* Mycobacterial culture performed on two GAs
* Abdominal ultrasonography
* QuantiFERON®-TB Gold IGRA
* Monocyte-to-Lymphocyte Ratio (MLR)
* C-Reactive Protein (CRP)
TB diagnosis will be made according to national TB guidelines.
Eligibility Criteria
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Inclusion Criteria
* Severe acute malnutrition defined as weight-for-height Z score (WHZ) \< -3 standard deviation (SD) or mid-upper arm circumference (MUAC) \< 115 mm (in children over 6 months) or clinical signs of bilateral pitting oedema
* Hospitalized per hospital clinician's decision
* Parent/guardian informed consent
Exclusion Criteria
2 Months
59 Months
ALL
No
Sponsors
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UNITAID
OTHER
Institut National de la Santé Et de la Recherche Médicale, France
OTHER_GOV
Responsible Party
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Principal Investigators
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Olivier Marcy, MD, PhD
Role: PRINCIPAL_INVESTIGATOR
University of Bordeaux, France
Maryline Bonnet, MD, PhD
Role: PRINCIPAL_INVESTIGATOR
Institut de Recherche pour le Développemnt (IRD) Montpellier, France
Eric Wobudeya, MD, PhD
Role: PRINCIPAL_INVESTIGATOR
MU-JHU Care Ltd, Kampala, Uganda
Locations
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Mulago National Referral Hospital
Kampala, , Uganda
Lusaka University Teaching Hospital
Lusaka, , Zambia
Arthur Davidson Children Hospital
Ndola, , Zambia
Countries
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References
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Chabala C, Roucher C, Ton Nu Nguyet MH, Babirekere E, Inambao M, Businge G, Kapula C, Shankalala P, Nduna B, Mulenga V, Graham S, Wobudeya E, Bonnet M, Marcy O; TB-Speed SAM study group. Development of tuberculosis treatment decision algorithms in children below 5 years hospitalised with severe acute malnutrition in Zambia and Uganda: a prospective diagnostic cohort study. EClinicalMedicine. 2024 Jun 20;73:102688. doi: 10.1016/j.eclinm.2024.102688. eCollection 2024 Jul.
d'Elbee M, Mafirakureva N, Chabala C, Huyen Ton Nu Nguyet M, Harker M, Roucher C, Businge G, Shankalala P, Nduna B, Mulenga V, Bonnet M, Wobudeya E, Marcy O, Dodd PJ. Treatment decision algorithms for tuberculosis screening and diagnosis in children below 5 years hospitalised with severe acute malnutrition: a cost-effectiveness analysis. EClinicalMedicine. 2025 Apr 19;83:103206. doi: 10.1016/j.eclinm.2025.103206. eCollection 2025 May.
Related Links
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TB-Speed project official website
Other Identifiers
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C18-28
Identifier Type: -
Identifier Source: org_study_id
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