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Value of rifampicin-resistant real-time fluorescence quantitative nucleic acid amplification detection technology in the fast diagnosis of pulmonary tuberculosis / 中国热带医学
China Tropical Medicine ; (12): 251-2023.
Article in Zh | WPRIM | ID: wpr-979625
Responsible library: WPRO
ABSTRACT
@#Abstract: Objective To evaluate the value and significance of rifampicin-resistant real-time fluorescence quantitative nucleic acid amplification detection technology (GeneXpert MTB/RIF) in the diagnosis of pulmonary tuberculosis.   Methods The clinical data of 228 patients with suspected pulmonary tuberculosis, who admitted to Hebei Chest Hospital from January 2018 to December 2019, were analyzed retrospectively. The sputum was collected for GeneXpert MTB/RIF, sandwich cup liquid-based bacterial acid-fast staining smear microscopy (referred to as “sandwich cup method”) and Loop-Mediated isothermal amplification (referred to as “LAMP method”) and the results were statistically analyzed by SPSS 17.0 software. Results Among the 228 patients with suspected cases, 200 cases were clinically diagnosed as pulmonary tuberculosis and 28 were non-tuberculosis. The positive detection rate of GeneXpert MTB/RIF (81.0%, 162/200) was significantly higher than that of sandwich cup method (62.5%, 125/200) and LAMP method (72.5%,145/200) (χ2=16.885, 4.049, P<0.05). Taking clinical diagnosis as gold standard, the sensitivity of GeneXpert MTB/RIF (80.00%,160/200) was significantly higher than that of sandwich cup method (60.00%, 120/200) and LAMP method (70.50%, 141/200) (χ2=19.048, 4.846, P<0.05). The diagnostic consistency of GeneXpert MTB/RIF (K=0.73) was higher than that of sandwich cup method (K=0.39) and LAMP method (K=0.56). Conclusions The GeneXpert MTB/RIF detection method is rapid and simple, and can diagnose pulmonary tuberculosis rapidly and simultaneously detect rifampicin resistance of Mycobacterium tuberculosis with high sensitivity. It has high clinical value for early diagnosis of pulmonary tuberculosis and guidance of treatment in general and specialized hospitals.
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Full text: 1 Database: WPRIM Language: Zh Journal: China Tropical Medicine Year: 2023 Document type: Article
Full text: 1 Database: WPRIM Language: Zh Journal: China Tropical Medicine Year: 2023 Document type: Article