| Autor: |
Taiga Miyazaki, Kiyoyasu Fukushima, Kohji Hashiguchi, Shotaro Ide, Tsutomu Kobayashi, Toyomitsu Sawai, Kazuhiro Yatera, Yoshihisa Kohno, Yuichi Fukuda, Yoji Futsuki, Yuichi Matsubara, Hironobu Koga, Tomo Mihara, Eisuke Sasaki, Nobuyuki Ashizawa, Tatsuro Hirayama, Takahiro Takazono, Kazuko Yamamoto, Yoshifumi Imamura, Norihito Kaku, Kosuke Kosai, Yoshitomo Morinaga, Katsunori Yanagihara, Hiroshi Mukae |
| Jazyk: |
angličtina |
| Rok vydání: |
2023 |
| Předmět: |
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| Zdroj: |
Pneumonia, Vol 15, Iss 1, Pp 1-12 (2023) |
| Druh dokumentu: |
article |
| ISSN: |
2200-6133 |
| DOI: |
10.1186/s41479-023-00118-4 |
| Popis: |
Abstract Background Current microbiological tests fail to identify the causative microorganism in more than half of all pneumonia cases. We explored biomarkers that could be used for differentiating between bacterial and viral pneumonia in patients with community-acquired pneumonia (CAP). Methods In this prospective cohort study conducted in Japan, data obtained from adult patients with bacterial pneumonia, including bacterial and viral coinfections (bacterial pneumonia [BP] group), and purely viral pneumonia (VP group) at diagnosis were analyzed using multivariate logistic regression analysis to identify predictors of bacterial pneumonia. Furthermore, a decision tree was developed using the predictors. Results A total of 210 patients were analyzed. The BP and VP groups comprised 108 and 18 patients, respectively. The other 84 patients had no identified causative microorganism. The two groups shared similar characteristics, including disease severity; however, a significant difference (p |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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