How to quickly determine whether patients with chronic cough need corticosteroid treatment——construction of a predictive model for corticosteroid-responsive cough in chronic cough
Baiyi Yi, Haodong Bai, Shujie Li, Tongyangzi Zhang, Yiqing Zhu, Wenxiu Luo, Xianghuai Xu, Li Yu · 2026
Read How to quickly determine whether patients with chronic cough need corticosteroid treatment——construction of a predictive model for corticosteroid-responsive cough in chronic cough by Baiyi Yi, Haodong Bai, Shujie Li, Tongyangzi Zhang, Yiqing Zhu, Wenxiu Luo, Xianghuai Xu, Li Yu (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-13542200.txt.
Description
Baiyi Yi and colleagues built a quick chart to spot steroid-helped cough in chronic coughers. Published in 2026, the study trained a forecast model on 304 past cases and checked it on 131 new cases. Chronic coughers face many tests and trial drugs to find the cause, yet steroid-helped cough drives most cases and spotting drags.
From 20 starting clues, seven won out: reflux signs, allergy history, blood eosinophils, IgE, CRP, a lung ratio, and FeNO50. The chart scored 0.900 on training cases and 0.840 on check cases, with small fit errors and more benefit than treating all or none. A top machine-learning model ranked features much the same way. The authors offer the chart, plus a simpler version, as a rapid aid for starting targeted treatment.
Catalog record
| CREATOR | Baiyi Yi, Haodong Bai, Shujie Li, Tongyangzi Zhang, Yiqing Zhu, Wenxiu Luo, Xianghuai Xu, Li Yu |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 49 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |