Clinical characteristics and microbial signatures in the lower airways of diabetic and nondiabetic patients with pneumonia
Some microorganisms affect the severity of pneumonia. We identified the microbial signatures in the lower airways and the association between clinical characteristics and SP. The predictive model was more accurate in predicting SP by combining microbiological indicators and clinical characteristics, which might be beneficial to the early identification and management of patients with SP.
Authors
- Jinmin Ma (ORCID: https://orcid.org/0000-0002-7993-7001)
- Rosary Sin Yu Yao
- Xiangyan He (ORCID: https://orcid.org/0000-0001-9408-6236)
- Weiting Hu
- Min Zhou (ORCID: https://orcid.org/0000-0002-8718-8506)
- Jingwen Huang (ORCID: https://orcid.org/0000-0002-5233-9693)
- Qianqian Zhao (ORCID: https://orcid.org/0000-0001-7405-3349)
- Huanying Wan (ORCID: https://orcid.org/0000-0002-1729-0062)
- Jiumeng Min
- Xuefei Liu (ORCID: https://orcid.org/0000-0002-1843-6107)
- Zhonglin Chen
- Yi Guo (ORCID: https://orcid.org/0000-0001-5085-6112)
Institutions
- BGI Group (China) (CN)
- Shanghai Jiao Tong University (CN)
- Ruijin Hospital (CN)
Publication Details
- Journal
- Journal of Thoracic Disease
- Published
- 2024-08-01
- DOI
- https://doi.org/10.21037/jtd-24-490
- Citations
- 1
- Primary Topic
- Nosocomial Infections in ICU
- Type
- article
- Field-Weighted Citation Impact
- 0.42
Funders
- National Natural Science Foundation of China