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联合检测方法鉴定吸入性肺炎患者的微生物学特征
Authors Xu H, Zhang R, Zhang X, Cheng Y, Lv L , Lin L
Received 30 January 2024
Accepted for publication 12 May 2024
Published 25 May 2024 Volume 2024:17 Pages 2077—2088
DOI https://doi.org/10.2147/IDR.S461935
Checked for plagiarism Yes
Review by Single anonymous peer review
Peer reviewer comments 3
Editor who approved publication: Professor Sandip Patil
Hui Xu,1 Ruixue Zhang,1 Xiaoxue Zhang,1 Yueguang Cheng,2 Liping Lv,3 Lianjun Lin1
1Department of Geriatrics, Peking University First Hospital, Beijing, People’s Republic of China; 2Department of Emergency, Beijing Jingmei Group General Hospital, Beijing, People’s Republic of China; 3Department of Interventional Pulmonology, Anhui Chest Hospital, Hefei, People’s Republic of China
Correspondence: Lianjun Lin, Department of Geriatrics, Peking University First Hospital, Xishiku Avenue 8, Xicheng District, Beijing, 100034, People’s Republic of China, Tel +8613671246076, Fax +86-10-83572981, Email 06474@pkufh.com
Purpose: Aspiration pneumonia (AP) challenges public health globally. The primary aim of this study was to ascertain the microbiological profile characteristics of patients with AP evaluated by combined detection methods, including conventional microbiological tests (CMTs), chips for complicated infection detection (CCID), and metagenomic next-generation sequencing (mNGS).
Patients and Methods: From June 2021 to March 2022, a total of thirty-nine patients with AP or community-acquired pneumonia with aspiration risk factors (AspRF-CAP) from 3 hospitals were included. Respiratory specimens, including bronchoalveolar lavage fluid (BALF), sputum, and tracheal aspirate, were collected for microorganism detection.
Results: Patients with AP were more inclined to be older, to have a shorter duration from illness onset to admission, to have a higher prevalence of different underlying diseases, particularly diabetes mellitus, chronic heart disease, and cerebrovascular disease, and to have a higher CURB-65 score (all P < 0.05). A total of 213 and 31 strains of microorganisms were detected in patients with AP and AspRF-CAP, respectively. The most common pathogens in AP were Corynebacterium striatum (17/213, 7.98%), Pseudomonas aeruginosa (15/213, 7.04%), Klebsiella pneumoniae (15/213, 7.04%), and Candida albicans (14/213, 6.57%). Besides, the most common pathogens in AspRF-CAP were Candida albicans (5/31, 16.13%), Pseudomonas aeruginosa (3/31, 9.68%) and Klebsiella pneumoniae (3/31, 9.68%). Moreover, Klebsiella pneumoniae (7/67, 10.45%) and Candida glabrata (5/67, 7.46%) were the most common pathogens among the 9 non-survived patients with AP.
Conclusion: The prevalent pathogens detected in cases of AP were Corynebacterium striatum, Pseudomonas aeruginosa, Klebsiella pneumoniae, and Candida albicans. Early combined detection methods for patients with AP enhance the positive detection rate of pathogens and potentially expedites the initiation of appropriate antibiotic therapeutic strategies.
Keywords: aspiration, pneumonia, microbiology, metagenomic next-generation sequencing, chips, combined detection