Risk factors and prediction model for chronic bacterial infection in stable bronchiectasis in Shanghai, China
Yuxian Chen, Shaoyan Zhang, Ben Su, Rui Zhou, Tao Chen, Xinyuan Xu, Zhengyi Zhang, Dingzhong Wu, Zhenhui Lu, Lei Qiu · 2026
Read Risk factors and prediction model for chronic bacterial infection in stable bronchiectasis in Shanghai, China by Yuxian Chen, Shaoyan Zhang, Ben Su, Rui Zhou, Tao Chen, Xinyuan Xu, Zhengyi Zhang, Dingzhong Wu, Zhenhui Lu, Lei Qiu (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-13574627.txt.
Description
Yuxian Chen and nine co-authors build a prediction tool for lasting bacterial infection in bronchiectasis in a 2026 study from Shanghai. Bronchiectasis is a lasting widening of the airways that traps mucus and germs. Patients in a stable phase can still carry chronic infection, which shapes their treatment, so spotting high-risk patients early has real value.
The team studied stable patients treated between 2020 and 2024 and screened many traits for links with infection. Smoking history, the spread of disease across lung lobes, recent flare-ups and bleeding, and two blood measures made the final list. Their chart-based model sorted patients with strong accuracy and held up under checks, which the authors offer for tailored care.
Catalog record
| CREATOR | Yuxian Chen, Shaoyan Zhang, Ben Su, Rui Zhou, Tao Chen, Xinyuan Xu, Zhengyi Zhang, Dingzhong Wu, Zhenhui Lu, Lei Qiu |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 47 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |