Diagnostic accuracy of the NOVA Tuberculosis Total Antibody Rapid test for detection of pulmonary tuberculosis and infection with

Diagnostic accuracy Lateral flow Mycobacteria Sensitivity Specificity Tuberculosis

Journal

Journal of clinical tuberculosis and other mycobacterial diseases
ISSN: 2405-5794
Titre abrégé: J Clin Tuberc Other Mycobact Dis
Pays: England
ID NLM: 101682877

Informations de publication

Date de publication:
May 2023
Historique:
medline: 4 4 2023
entrez: 3 4 2023
pubmed: 4 4 2023
Statut: epublish

Résumé

The NOVA Tuberculosis Total Antibody Rapid Test is a commercially available lateral flow serological assay that is intended to be used as an aid in the diagnosis of tuberculosis. We conducted a study to estimate diagnostic accuracy of this assay for diagnosis of active pulmonary tuberculosis disease and for detection of This study used existing frozen plasma specimens that had been obtained previously from consenting HIV-negative adults in Cambodia, South Africa, and Vietnam whose tuberculosis status was rigorously characterized using sputum mycobacterial cultures and blood interferon gamma release assay. The investigational assay was performed in a single laboratory by laboratory staff specifically trained to conduct the assays according to the manufacturer's procedures. In addition, intensity of the test band was subjectively assessed. Plasma specimens from 150 participants were tested. All testing attempts yielded a determinate result of either positive or negative. For diagnosis of active pulmonary tuberculosis disease, test sensitivity and specificity were 40.0 % (20/50, 95 % confidence interval [CI] 27.6 % to 53.8 %) and 85.0 % (95 % CI 76.7 % to 90.7 %), respectively. For detection of Study findings do not support a role for the NOVA Tuberculosis Test in current tuberculosis diagnostic algorithms.

Sections du résumé

Background UNASSIGNED
The NOVA Tuberculosis Total Antibody Rapid Test is a commercially available lateral flow serological assay that is intended to be used as an aid in the diagnosis of tuberculosis. We conducted a study to estimate diagnostic accuracy of this assay for diagnosis of active pulmonary tuberculosis disease and for detection of
Methods UNASSIGNED
This study used existing frozen plasma specimens that had been obtained previously from consenting HIV-negative adults in Cambodia, South Africa, and Vietnam whose tuberculosis status was rigorously characterized using sputum mycobacterial cultures and blood interferon gamma release assay. The investigational assay was performed in a single laboratory by laboratory staff specifically trained to conduct the assays according to the manufacturer's procedures. In addition, intensity of the test band was subjectively assessed.
Results UNASSIGNED
Plasma specimens from 150 participants were tested. All testing attempts yielded a determinate result of either positive or negative. For diagnosis of active pulmonary tuberculosis disease, test sensitivity and specificity were 40.0 % (20/50, 95 % confidence interval [CI] 27.6 % to 53.8 %) and 85.0 % (95 % CI 76.7 % to 90.7 %), respectively. For detection of
Conclusion UNASSIGNED
Study findings do not support a role for the NOVA Tuberculosis Test in current tuberculosis diagnostic algorithms.

Identifiants

pubmed: 37006993
doi: 10.1016/j.jctube.2023.100362
pii: S2405-5794(23)00018-9
pmc: PMC10064436
doi:

Types de publication

Journal Article

Langues

eng

Pagination

100362

Subventions

Organisme : NIAID NIH HHS
ID : U01 AI152084
Pays : United States

Déclaration de conflit d'intérêts

The authors declare the following financial interests/personal relationships which may be considered as potential competing interests: Atlas Link Technology donated the NOVA Tuberculosis Tests for this study but had no role in study design, study conduct, data analysis or decision to publish study results.

Références

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Auteurs

Gideon Nsubuga (G)

College of Health Sciences, Makerere University, Kampala, Uganda.

Samuel Kennedy (S)

Medical University of South Carolina, Charleston, SC, USA.

Yasha Rani (Y)

Frontier Science Foundation, Brookline, MA, USA.

Zibran Hafiz (Z)

Rutgers University - New Jersey Medical School, Newark, NJ, USA.

Soyeon Kim (S)

Frontier Science Foundation, Brookline, MA, USA.

Morten Ruhwald (M)

FIND, Geneva, Switzerland.

David Alland (D)

Rutgers University - New Jersey Medical School, Newark, NJ, USA.

Jerrold Ellner (J)

Rutgers University - New Jersey Medical School, Newark, NJ, USA.

Moses Joloba (M)

College of Health Sciences, Makerere University, Kampala, Uganda.

Susan E Dorman (SE)

Medical University of South Carolina, Charleston, SC, USA.

Adam Penn-Nicholson (A)

FIND, Geneva, Switzerland.

Lydia Nakiyingi (L)

College of Health Sciences, Makerere University, Kampala, Uganda.

Classifications MeSH