Peng Wei1, Lijuan Wu2, Yu Li3, Jian'gang Shi4, Yifeng Luo5, Wenbin Wu1, Jiemei Feng1. 1. Department of Pulmonary and Critical Care Medicine, The Eighth Affiliated Hospital of Guangxi Medical University & Guigang City People's Hospital Guigang 537100, Guangxi Zhuang Autonomous Region, China. 2. Department of Ultrasound, The Eighth Affiliated Hospital of Guangxi Medical University & Guigang City People's Hospital Guigang 537100, Guangxi Zhuang Autonomous Region, China. 3. Department of Pulmonary and Critical Care Medicine, The Second Affiliated Hospital of Guangxi Medical University Nanning 530007, Guangxi Zhuang Autonomous Region, China. 4. Department of Clinical Laboratory, The Eighth Affiliated Hospital of Guangxi Medical University & Guigang City People's Hospital Guigang 537100, Guangxi Zhuang Autonomous Region, China. 5. Department of Intensive Care Unit, The Eighth Affiliated Hospital of Guangxi Medical University & Guigang City People's Hospital Guigang 537100, Guangxi Zhuang Autonomous Region, China.
Abstract
OBJECTIVE: To explore the clinical value of metagenomic next-generation sequencing (mNGS) in diagnosing pulmonary infectious diseases. METHODS: A retrospective analysis was performed on 82 patients with pulmonary infection who were admitted to the Eighth Affiliated Hospital of Guangxi Medical University & Guigang City People's Hospital from January 2020 to December 2021. The pathogens were detected by mNGS and conventional methods (culture and PCR). Then, the type and number of detected pathogens, as well as the specificity and sensitivity, were compared between the two methods. In addition, the positive rates of bacteria, fungi, tubercle bacillus, and mixed infection in bronchoalveolar lavage fluid, sputum, pleural effusion, and blood detected by mNGS, and the advantage in required test time were evaluated. RESULTS: More types and numbers of pathogens were detected by mNGS with a higher sensitivity but a lower specificity, as compared to the conventional detection methods (all P<0.05). The positive rates and integrity rates of bacteria, fungi, and tubercle bacillus detected by mNGS were higher than those by conventional methods (all P<0.05). Moreover, there was no difference in the overall sensitivity of mNGS among different sample types, but the sensitivities of mNGS in bronchoalveolar lavage fluid and sputum samples were significantly higher than those of conventional methods (both P<0.05). The average test time for mNGS was shorter than that of conventional methods. CONCLUSION: mNGS can detect more types and numbers of pathogenic microorganisms, improve the detection sensitivity, and reduce the detection time in patients with pulmonary infection. AJTR
OBJECTIVE: To explore the clinical value of metagenomic next-generation sequencing (mNGS) in diagnosing pulmonary infectious diseases. METHODS: A retrospective analysis was performed on 82 patients with pulmonary infection who were admitted to the Eighth Affiliated Hospital of Guangxi Medical University & Guigang City People's Hospital from January 2020 to December 2021. The pathogens were detected by mNGS and conventional methods (culture and PCR). Then, the type and number of detected pathogens, as well as the specificity and sensitivity, were compared between the two methods. In addition, the positive rates of bacteria, fungi, tubercle bacillus, and mixed infection in bronchoalveolar lavage fluid, sputum, pleural effusion, and blood detected by mNGS, and the advantage in required test time were evaluated. RESULTS: More types and numbers of pathogens were detected by mNGS with a higher sensitivity but a lower specificity, as compared to the conventional detection methods (all P<0.05). The positive rates and integrity rates of bacteria, fungi, and tubercle bacillus detected by mNGS were higher than those by conventional methods (all P<0.05). Moreover, there was no difference in the overall sensitivity of mNGS among different sample types, but the sensitivities of mNGS in bronchoalveolar lavage fluid and sputum samples were significantly higher than those of conventional methods (both P<0.05). The average test time for mNGS was shorter than that of conventional methods. CONCLUSION: mNGS can detect more types and numbers of pathogenic microorganisms, improve the detection sensitivity, and reduce the detection time in patients with pulmonary infection. AJTR
Authors: E Álvarez Artero; A Campo Núñez; M Garcia Bravo; I García García; M Belhassen Garcia; J Pardo Lledías Journal: Rev Esp Quimioter Date: 2021-04-15 Impact factor: 1.553