Factor Analysis‐Based Quantitative Endotyping Improves Associations With CRS Cross‐Sectional and Longitudinal Outcomes
Factor analysis identifies distinct, quantifiable patterns of inflammation in CRS, offering improved associations with cross-sectional and longitudinal outcomes compared to individual biomarkers.
Authors
- Junqin Bai (ORCID: https://orcid.org/0000-0001-6012-2809)
- Lutfiyya NaQiyba Muhammad (ORCID: https://orcid.org/0000-0001-8655-1484)
- Kevin C. Welch (ORCID: https://orcid.org/0000-0003-4863-7206)
- Anju T. Peters (ORCID: https://orcid.org/0000-0003-0745-2379)
- Aditi Agarwal (ORCID: https://orcid.org/0009-0006-8532-6094)
- Atsushi Kato (ORCID: https://orcid.org/0000-0001-9144-3138)
- David B. Conley (ORCID: https://orcid.org/0000-0002-2611-6795)
- Whitney W. Stevens (ORCID: https://orcid.org/0000-0002-2608-6610)
- Zhidi Luo (ORCID: https://orcid.org/0009-0006-7475-179X)
- Bruce K. Tan (ORCID: https://orcid.org/0000-0001-9210-5050)
- Chun‐Kang Liao (ORCID: https://orcid.org/0000-0002-0037-1421)
- Stephanie S. Smith (ORCID: https://orcid.org/0000-0002-0605-3993)
- Brooke N. Gleason (ORCID: https://orcid.org/0009-0008-5614-4990)
- Siyuan Dong (ORCID: https://orcid.org/0000-0001-8719-137X)
- Regan L. Harmon
- Julia Huang
- Robert C. Kern
Institutions
- Northwestern University (US)
Publication Details
- Journal
- International Forum of Allergy & Rhinology
- Published
- 2025-09-26
- DOI
- https://doi.org/10.1002/alr.70027
- Citations
- 1
- Primary Topic
- Sinusitis and nasal conditions
- Type
- article
- Field-Weighted Citation Impact
- 1.85
Funders
- National Institutes of Health