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Published on: February 24, 2023
Identification and comparison of Chlamydia psittaci, Legionella and Mycoplasma pneumonia infection
Ning Zhu1, Daibing Zhou1, Ruyu Yuan1
1Department of Respiratory and Critical Care Medicine, Huashan Hospital, Fudan University, Shanghai, China.
Introduction:
Conventional etiological detection and pathogenic antibody methods make it challenging to identify the atypical pathogens among the community-acquired pneumonia (CAP). Metagenomic next-generation sequencing (mNGS) could rapidly detect all potentially infectious diseases and identifies novel or potential pathogens.
Methods:
Eighteen patients diagnosed with atypical CAP were enrolled in this retrospective study, including nine Chlamydia psittaci pneumonia (C. p), four Legionella pneumonia (L. p) and five Mycoplasma pneumonia (M. p). We simultaneously tested bronchoalveolar lavage fluid (BALF) samples for conventional microbiological methods and mNGS, and blood specimens were analysed. We also collected and compared baseline and clinical characteristics and treatment responses.
Results:
Patients with C. p and L. p had similar symptoms, including fever, cough, headache, dyspnoea, asthenia, shivering and headache, compared with M. p, whose symptoms were slight. C. p and L. p usually showed multiple lobar distributions with pleural effusion. Serologic testing indicated that L. p had higher levels of white blood cells (WBCs), neutrophils, C-reactive protein (CRP), procalcitonin (PCT), alanine aminotransferase (ALT), lactate dehydrogenase (LDH) and creatinine compared with M. p and L. p (p < 0.05). However, patients with C. p had lower levels of albumin (p < 0.05), and M. p had a minimum risk of cardiac volume loads (p < 0.05). CD4/CD8 ratio, lymphocytes, aspartate aminotransferase (AST), creatine kinase (CK), cell counting of BALF and coagulation had no difference (p < 0.05). Pathogenic IgM assay showed that 4/5 cases were positive for M. p and no positive detection for C. p and L. p infection. We timely adjusted the antibiotics according to the final mNGS results. Eventually, 16/18 patients recovered fully. Conditions of L. p patients were worse than those of C. p patients, and those of M. p patients were the least.
Conclusion:
Early application of mNGS detection increased the atypical pathogenic identification, improved the prognosis and made up for the deficiency of conventional detection methods.
Insights
Metagenomic next-generation sequencing (mNGS) effectively identifies atypical community-acquired pneumonia (CAP) pathogens missed by conventional methods. This advanced technique improves diagnosis and patient outcomes for challenging CAP cases.
Area of Science:
- Infectious Diseases
- Microbiology
- Genomics
Background:
- Conventional methods struggle to identify atypical pathogens causing community-acquired pneumonia (CAP).
- Metagenomic next-generation sequencing (mNGS) offers a comprehensive approach to detect diverse infectious agents, including novel pathogens.
Purpose of the Study:
- To evaluate the efficacy of mNGS in identifying atypical CAP pathogens.
- To compare clinical characteristics and treatment responses between different atypical CAP etiologies.
- To assess the impact of mNGS on patient prognosis.
Main Methods:
- Retrospective analysis of 18 patients with atypical CAP (Chlamydia psittaci, Legionella, Mycoplasma).
- Simultaneous testing of bronchoalveolar lavage fluid (BALF) and blood using conventional methods and mNGS.
- Comparison of clinical, laboratory, and radiological findings.
Main Results:
- mNGS identified pathogens missed by conventional tests.
- Chlamydia psittaci and Legionella pneumonia presented with more severe symptoms and radiographic findings than Mycoplasma pneumonia.
- mNGS-guided treatment adjustments led to full recovery in 16 out of 18 patients.
Conclusions:
- Early implementation of mNGS significantly enhances the identification of atypical pneumonia pathogens.
- mNGS improves diagnostic accuracy and patient prognosis compared to conventional methods.
- mNGS addresses the limitations of traditional etiological detection techniques for CAP.
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