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Predicting Mycoplasma pneumoniae and Chlamydophila pneumoniae in community-acquired pneumonia (CAP) pneumonia: epidemiological study of respiratory tract infection using multiplex PCR assays
Community-acquired pneumonia (CAP) is a common illness that can lead to mortality. β-lactams are ineffective against atypical pathogen including Mycoplasma pneumoniae. We used molecular examinations to develop a decision tree to predict atypical pathogens with CAP and to examine the prevalence of ma...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8116829/ https://www.ncbi.nlm.nih.gov/pubmed/33983474 http://dx.doi.org/10.1007/s11739-021-02744-6 |
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author | Ishimaru, Naoto Suzuki, Satoshi Shimokawa, Toshio Akashi, Yusaku Takeuchi, Yuto Ueda, Atsuo Kinami, Saori Ohnishi, Hisashi Suzuki, Hiromichi Tokuda, Yasuharu Maeno, Tetsuhiro |
author_facet | Ishimaru, Naoto Suzuki, Satoshi Shimokawa, Toshio Akashi, Yusaku Takeuchi, Yuto Ueda, Atsuo Kinami, Saori Ohnishi, Hisashi Suzuki, Hiromichi Tokuda, Yasuharu Maeno, Tetsuhiro |
author_sort | Ishimaru, Naoto |
collection | PubMed |
description | Community-acquired pneumonia (CAP) is a common illness that can lead to mortality. β-lactams are ineffective against atypical pathogen including Mycoplasma pneumoniae. We used molecular examinations to develop a decision tree to predict atypical pathogens with CAP and to examine the prevalence of macrolide resistance in Mycoplasma pneumoniae. We conducted a prospective observational study of patients aged ≥ 18 years who had fever and respiratory symptoms and were diagnosed with CAP in one of two community hospitals between December 2016 and October 2018. We assessed combinations of clinical variables that best predicted atypical pathogens with CAP by classification and regression tree (CART) analysis. Pneumonia was defined as respiratory symptoms and new infiltration recognized on chest X-ray or chest computed tomography. We analyzed 47 patients (21 females, 44.7%, mean age: 47.6 years). Atypical pathogens were detected in 15 patients (31.9%; 12 Mycoplasma pneumoniae, 3 Chlamydophila pneumoniae). Ten patients carried macrolide resistant Mycoplasma pneumoniae (macrolide resistant rate 83.3%). CART analysis suggested that factors associated with presence of atypical pathogens were absence of crackles, age < 45 years, and LD ≥ 183 U/L (sensitivity 86.7% [59.5, 98.3], specificity 96.9% [83.8, 99.9]). ur simple clinical decision rules can be used to identify primary care patients with CAP that are at risk for atypical pathogens. Further research is needed to validate its usefulness in various populations. Trial registration Clinical Trial (UMIN trial ID: UMIN000035346). |
format | Online Article Text |
id | pubmed-8116829 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-81168292021-05-13 Predicting Mycoplasma pneumoniae and Chlamydophila pneumoniae in community-acquired pneumonia (CAP) pneumonia: epidemiological study of respiratory tract infection using multiplex PCR assays Ishimaru, Naoto Suzuki, Satoshi Shimokawa, Toshio Akashi, Yusaku Takeuchi, Yuto Ueda, Atsuo Kinami, Saori Ohnishi, Hisashi Suzuki, Hiromichi Tokuda, Yasuharu Maeno, Tetsuhiro Intern Emerg Med Im - Original Community-acquired pneumonia (CAP) is a common illness that can lead to mortality. β-lactams are ineffective against atypical pathogen including Mycoplasma pneumoniae. We used molecular examinations to develop a decision tree to predict atypical pathogens with CAP and to examine the prevalence of macrolide resistance in Mycoplasma pneumoniae. We conducted a prospective observational study of patients aged ≥ 18 years who had fever and respiratory symptoms and were diagnosed with CAP in one of two community hospitals between December 2016 and October 2018. We assessed combinations of clinical variables that best predicted atypical pathogens with CAP by classification and regression tree (CART) analysis. Pneumonia was defined as respiratory symptoms and new infiltration recognized on chest X-ray or chest computed tomography. We analyzed 47 patients (21 females, 44.7%, mean age: 47.6 years). Atypical pathogens were detected in 15 patients (31.9%; 12 Mycoplasma pneumoniae, 3 Chlamydophila pneumoniae). Ten patients carried macrolide resistant Mycoplasma pneumoniae (macrolide resistant rate 83.3%). CART analysis suggested that factors associated with presence of atypical pathogens were absence of crackles, age < 45 years, and LD ≥ 183 U/L (sensitivity 86.7% [59.5, 98.3], specificity 96.9% [83.8, 99.9]). ur simple clinical decision rules can be used to identify primary care patients with CAP that are at risk for atypical pathogens. Further research is needed to validate its usefulness in various populations. Trial registration Clinical Trial (UMIN trial ID: UMIN000035346). Springer International Publishing 2021-05-13 2021 /pmc/articles/PMC8116829/ /pubmed/33983474 http://dx.doi.org/10.1007/s11739-021-02744-6 Text en © Società Italiana di Medicina Interna (SIMI) 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic. |
spellingShingle | Im - Original Ishimaru, Naoto Suzuki, Satoshi Shimokawa, Toshio Akashi, Yusaku Takeuchi, Yuto Ueda, Atsuo Kinami, Saori Ohnishi, Hisashi Suzuki, Hiromichi Tokuda, Yasuharu Maeno, Tetsuhiro Predicting Mycoplasma pneumoniae and Chlamydophila pneumoniae in community-acquired pneumonia (CAP) pneumonia: epidemiological study of respiratory tract infection using multiplex PCR assays |
title | Predicting Mycoplasma pneumoniae and Chlamydophila pneumoniae in community-acquired pneumonia (CAP) pneumonia: epidemiological study of respiratory tract infection using multiplex PCR assays |
title_full | Predicting Mycoplasma pneumoniae and Chlamydophila pneumoniae in community-acquired pneumonia (CAP) pneumonia: epidemiological study of respiratory tract infection using multiplex PCR assays |
title_fullStr | Predicting Mycoplasma pneumoniae and Chlamydophila pneumoniae in community-acquired pneumonia (CAP) pneumonia: epidemiological study of respiratory tract infection using multiplex PCR assays |
title_full_unstemmed | Predicting Mycoplasma pneumoniae and Chlamydophila pneumoniae in community-acquired pneumonia (CAP) pneumonia: epidemiological study of respiratory tract infection using multiplex PCR assays |
title_short | Predicting Mycoplasma pneumoniae and Chlamydophila pneumoniae in community-acquired pneumonia (CAP) pneumonia: epidemiological study of respiratory tract infection using multiplex PCR assays |
title_sort | predicting mycoplasma pneumoniae and chlamydophila pneumoniae in community-acquired pneumonia (cap) pneumonia: epidemiological study of respiratory tract infection using multiplex pcr assays |
topic | Im - Original |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8116829/ https://www.ncbi.nlm.nih.gov/pubmed/33983474 http://dx.doi.org/10.1007/s11739-021-02744-6 |
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