Diagnostic performance analysis of Xpert MTB/RIF in lymph node tuberculosis: A retrospective study.

Lymph node tuberculosis Pathology Xpert MTB/RIF

Journal

Diagnostic microbiology and infectious disease
ISSN: 1879-0070
Titre abrégé: Diagn Microbiol Infect Dis
Pays: United States
ID NLM: 8305899

Informations de publication

Date de publication:
03 Jun 2024
Historique:
received: 09 02 2024
revised: 22 05 2024
accepted: 24 05 2024
medline: 8 6 2024
pubmed: 8 6 2024
entrez: 7 6 2024
Statut: aheadofprint

Résumé

To retrospectively analyze the diagnostic efficacy of Xpert MTB/RIF (Xpert) in lymph node tuberculosis (LNTB). Sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV) and area under the curve (AUC) of Xpert, pathological examination and culture for LNTB were calculated. 421 suspected LNTB cases were categorized into the LNTB group (377 cases) and non-LNTB group (44 cases). The sensitivities of Xpert, pathological examination, and culture were 72.15%, 20.69%, 30.24%, respectively, with NPVs of 29.53%, 12.83%, 14.33%. The AUC values were 0.861, 0.603, 0.651, respectively. The sensitivity of Xpert varied across sample types: tissue (64.73%), puncture fluid (74.42%), and pus (96.05%). For specific lymph node locations, the sensitivity was head-and-neck (72.51%), mediastinal (84.21%), and axillary (45.83%). Xpert demonstrates high diagnostic value for LNTB, particularly in pus samples. It also performs better in mediastinal and head-and-neck lymph node samples compared to axillary lymph node samples.

Identifiants

pubmed: 38848663
pii: S0732-8893(24)00207-4
doi: 10.1016/j.diagmicrobio.2024.116385
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

116385

Informations de copyright

Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.

Déclaration de conflit d'intérêts

Declaration of competing interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper

Auteurs

Lingshan Dai (L)

Clinical Laboratory Center, Hangzhou Red Cross Hospital, Hangzhou, Zhejiang 310003, China.

Lijun Peng (L)

Clinical Laboratory Center, Hangzhou Red Cross Hospital, Hangzhou, Zhejiang 310003, China.

Tingting Fang (T)

Clinical Laboratory Center, Hangzhou Red Cross Hospital, Hangzhou, Zhejiang 310003, China.

Yanqin Shao (Y)

Clinical Laboratory Center, Hangzhou Red Cross Hospital, Hangzhou, Zhejiang 310003, China.

Long Cai (L)

Clinical Laboratory Center, Hangzhou Red Cross Hospital, Hangzhou, Zhejiang 310003, China. Electronic address: cailong317@hotmail.com.

Classifications MeSH