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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...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2020
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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. |
format | Online Article Text |
id | pubmed-7689225 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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