Application of bronchoscopy combined with GeneXpert MTB/RIF or MALDI-TOF MS detection technology insputum etiology negative pulmonary tuberculosis patients
RUI Chao
HUANG Fen
CHEN Liyun
YE Genquan
HE Hui
ZHANG Zhi
Abstract：Objective To investigate the application of bronchoscopy combined with real-time fluorescence quantitative PCR detection technology(GeneXpert MTB/RIF,Xpert)or matrix-assisted laser desorption ionization-time of flight mass spectrometry(MALDI-TOF MS)detection technology in sputum etiology negative pulmonary tuberculosis patients.Methods This study included 260 patients with suspected sputum etiology negative pulmonary tuberculosis who were treated at the Third People's Hospital of Wuhu from August 1,2021,to July 31,2023.Bronchoalveolar lavage fluid(BALF)was collected from these patients for testing using solid Lowenstein-Jensen culture(L-J),Xpert,and MALDI-TOF MS methods to evaluate the diagnostic efficacy of each technique.Results The sensitivity for diagnosing pulmonary tuberculosis in 260 patients were tested with L-J,Xpert,and MALDI-TOF MS was 31.49％,69.38％,and 82.69％,respectively.The sensitivities of Xpert and MALDI-TOF MS were significantly higher than that of L-J method(P＜0.05),with no significant difference between Xpert and MALDI-TOF MS(P=0.061).Among these,34 patients underwent simultaneous testing with L-J,Xpert,and MALDI-TOF MS,simultaneously.Upon reanalysis,the sensitivities were 29.03％,64.52％,and 80.64％,respectively.The sensitivities of Xpert and MALDI-TOF MS were higher than that of L-J method(P＜0.05),with no significant difference between the former two methods(P=0.155).There was no significant difference in the positive detection rate of rifampicin resistance among the three methods(P=0.817).Conclusions Bronchoscopy combined with Xpert and MALDI-TOFMS demonstrates high sensitivity and specificity in sputum etiology negative pulmonary tuberculosis patients,with promising clinical application prospects.
Keywords：pulmonary tuberculosisetiology negativenucleic acidmolecular biology detection technologydiagnostic efficacy
Publication Date：2024-12-28
Online Publishing Date：2025-08-15(First online date of this platform, not the publication date of the document)
Pages：6( 527-531,535 )