AORI-HAP: a multidimensional risk index to predict in-hospital adverse outcomes in asthma exacerbations
AORI-HAP facilitates early risk stratification at admission and personalized management in hospitalized asthma patients. NLR's mediating role underscores its utility as a predictive biomarker and potential therapeutic target.
Authors
- Deying Kang (ORCID: https://orcid.org/0000-0003-1488-7047)
- Ying Liu (ORCID: https://orcid.org/0000-0002-1292-947X)
- Erik Melén (ORCID: https://orcid.org/0000-0002-8248-0663)
- Yulai Yuan
- Lei Liu (ORCID: https://orcid.org/0000-0002-0500-6239)
- Gang Wang (ORCID: https://orcid.org/0000-0001-8898-0012)
- Li Zhang (ORCID: https://orcid.org/0000-0003-1126-3300)
- Yin Li (ORCID: https://orcid.org/0000-0002-4754-2814)
- Qin Wang
- Shuwen Zhang (ORCID: https://orcid.org/0000-0003-3555-6677)
- Min Feng (ORCID: https://orcid.org/0000-0002-6861-6595)
- Lishan Yuan
- Chongyang Zhao
- Xin Zhang (ORCID: https://orcid.org/0000-0003-0047-3134)
Institutions
- University of Technology Sydney (AU)
- Sichuan University (CN)
- Woolcock Institute of Medical Research (AU)
- China-Japan Friendship Hospital (CN)
- Karolinska Institutet (SE)
- Southwest Medical University (CN)
- West China Hospital of Sichuan University (CN)
- Stockholm South General Hospital (SE)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-12-10
- DOI
- https://doi.org/10.3389/fmed.2025.1707866
- Primary Topic
- Asthma and respiratory diseases
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation
- Sichuan University
- West China Hospital, Sichuan University