Predictive value of bronchoalveolar lavage fluid leukotriene C4 for airway hyperresponsiveness in children with Mycoplasma pneumoniae pneumonia: a machine learning-based study
Shengxin Zhang, Lin Yuan, Keke Ma, Huaying Liu, Zhiyuan Wang, Shujun Li · 2026
Read Predictive value of bronchoalveolar lavage fluid leukotriene C4 for airway hyperresponsiveness in children with Mycoplasma pneumoniae pneumonia: a machine learning-based study by Shengxin Zhang, Lin Yuan, Keke Ma, Huaying Liu, Zhiyuan Wang, Shujun Li (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/PMC13462681.txt.
Description
Shengxin Zhang and colleagues test, in a 2026 study, whether a chemical signal in lung wash fluid can predict twitchy, overreactive airways after Mycoplasma pneumonia in children. The signal, leukotriene C4, is a known airway constrictor. The team reviewed 158 children treated for this pneumonia between 2023 and 2024, with 20 children scoped for foreign objects as controls. Lung fluid levels were measured, and airway reactivity was checked two weeks later in 87 children.
Fluid levels ran far higher in pneumonia cases than in matched controls, and higher still in children who later showed reactive airways. Higher levels went with worse lung function at follow-up, a link standard blood markers did not show. Nine machine learning models were compared; the best used two inputs, the lung signal plus a blood enzyme, and sorted cases with good accuracy. The authors propose the pair as an early warning aid.
Catalog record
| CREATOR | Shengxin Zhang, Lin Yuan, Keke Ma, Huaying Liu, Zhiyuan Wang, Shujun Li |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 38651 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |