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Physicians' prediction for the assessment of atypical pathogens in respiratory tract infections

BACKGROUND: Patients with acute respiratory tract infections are frequently prescribed antimicrobials despite high rates of virus detection. Physicians may overprescribe antimicrobials owing to the concern of bacterial infections, including those because of atypical pathogens. We investigated the ac...

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Autores principales: Suzuki, Satoshi, Ishimaru, Naoto, Akashi, Yusaku, Takeuchi, Yuto, Ueda, Atsuo, Ushiki, Akihito, Kinami, Saori, Suzuki, Hiromichi, Tokuda, Yasuharu, Maeno, Tetsuhiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7689225/
https://www.ncbi.nlm.nih.gov/pubmed/33304716
http://dx.doi.org/10.1002/jgf2.350
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author Suzuki, Satoshi
Ishimaru, Naoto
Akashi, Yusaku
Takeuchi, Yuto
Ueda, Atsuo
Ushiki, Akihito
Kinami, Saori
Suzuki, Hiromichi
Tokuda, Yasuharu
Maeno, Tetsuhiro
author_facet Suzuki, Satoshi
Ishimaru, Naoto
Akashi, Yusaku
Takeuchi, Yuto
Ueda, Atsuo
Ushiki, Akihito
Kinami, Saori
Suzuki, Hiromichi
Tokuda, Yasuharu
Maeno, Tetsuhiro
author_sort Suzuki, Satoshi
collection PubMed
description BACKGROUND: Patients with acute respiratory tract infections are frequently prescribed antimicrobials despite high rates of virus detection. Physicians may overprescribe antimicrobials owing to the concern of bacterial infections, including those because of atypical pathogens. We investigated the accuracy of clinical predictions concerning atypical pathogen infections. METHODS: We prospectively enrolled adult patients who presented with a fever and cough in outpatient clinics between December 2016 and August 2018. After taking a history and performing physical examinations, physicians predicted the possibility of respiratory infections because of atypical pathogens. Disease probabilities were categorized into 3 grades (high: ≥50%, intermediate: 20% ≥ and <50%, and low: <20%) and were judged by physicians who were taking care of the patients. Confirmation of atypical pathogens was performed by comprehensive molecular analyses of respiratory samples. RESULTS: Atypical pathogens were detected in 21 of 210 patients. A close contact history (odds ratio [OR]: 11.4, 95% confidence interval [CI]: 2.4‐53.5) and the presence of pneumonia (OR: 12.9, CI: 4.3‐39.2) were associated with the detections. Atypical pathogens were detected in 32.3% of high‐probability cases (10/31), while atypical pathogens were only detected in 8.8% of intermediate‐probability cases (8/91) and 3.4% of low‐probability cases (3/88) (P < .001). CONCLUSIONS: The current study indicates that physicians’ predictions were associated with the detection of atypical pathogens; however, overestimation was observed.
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spelling pubmed-76892252020-12-09 Physicians' prediction for the assessment of atypical pathogens in respiratory tract infections Suzuki, Satoshi Ishimaru, Naoto Akashi, Yusaku Takeuchi, Yuto Ueda, Atsuo Ushiki, Akihito Kinami, Saori Suzuki, Hiromichi Tokuda, Yasuharu Maeno, Tetsuhiro J Gen Fam Med Original Articles BACKGROUND: Patients with acute respiratory tract infections are frequently prescribed antimicrobials despite high rates of virus detection. Physicians may overprescribe antimicrobials owing to the concern of bacterial infections, including those because of atypical pathogens. We investigated the accuracy of clinical predictions concerning atypical pathogen infections. METHODS: We prospectively enrolled adult patients who presented with a fever and cough in outpatient clinics between December 2016 and August 2018. After taking a history and performing physical examinations, physicians predicted the possibility of respiratory infections because of atypical pathogens. Disease probabilities were categorized into 3 grades (high: ≥50%, intermediate: 20% ≥ and <50%, and low: <20%) and were judged by physicians who were taking care of the patients. Confirmation of atypical pathogens was performed by comprehensive molecular analyses of respiratory samples. RESULTS: Atypical pathogens were detected in 21 of 210 patients. A close contact history (odds ratio [OR]: 11.4, 95% confidence interval [CI]: 2.4‐53.5) and the presence of pneumonia (OR: 12.9, CI: 4.3‐39.2) were associated with the detections. Atypical pathogens were detected in 32.3% of high‐probability cases (10/31), while atypical pathogens were only detected in 8.8% of intermediate‐probability cases (8/91) and 3.4% of low‐probability cases (3/88) (P < .001). CONCLUSIONS: The current study indicates that physicians’ predictions were associated with the detection of atypical pathogens; however, overestimation was observed. John Wiley and Sons Inc. 2020-06-25 /pmc/articles/PMC7689225/ /pubmed/33304716 http://dx.doi.org/10.1002/jgf2.350 Text en © 2020 The Authors. Journal of General and Family Medicine published by John Wiley & Sons Australia, Ltd on behalf of Japan Primary Care Association This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Articles
Suzuki, Satoshi
Ishimaru, Naoto
Akashi, Yusaku
Takeuchi, Yuto
Ueda, Atsuo
Ushiki, Akihito
Kinami, Saori
Suzuki, Hiromichi
Tokuda, Yasuharu
Maeno, Tetsuhiro
Physicians' prediction for the assessment of atypical pathogens in respiratory tract infections
title Physicians' prediction for the assessment of atypical pathogens in respiratory tract infections
title_full Physicians' prediction for the assessment of atypical pathogens in respiratory tract infections
title_fullStr Physicians' prediction for the assessment of atypical pathogens in respiratory tract infections
title_full_unstemmed Physicians' prediction for the assessment of atypical pathogens in respiratory tract infections
title_short Physicians' prediction for the assessment of atypical pathogens in respiratory tract infections
title_sort physicians' prediction for the assessment of atypical pathogens in respiratory tract infections
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7689225/
https://www.ncbi.nlm.nih.gov/pubmed/33304716
http://dx.doi.org/10.1002/jgf2.350
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