Unsupervised clustering analysis based on multidimensional features reveals distinct clinical characteristics and associated factors of different phenotypes in patients with chronic rhinosinusitis with nasal polyp

• Published in: Zhonghua er bi yan hou tou jing wai ke za zhi = Chinese journal of otorhinolaryngology head and neck surgery Vol. 59; no. 6; p. 590
• Main Authors: Huang, J Y, Luo, Y G, Lyu, H, Liu, D, Wang, Y F, Liu, P Q, Tan, L, Xiang, R, Zhang, W, Xu, Y
• Format: Journal Article
• Language: Chinese
• Published: China 07.06.2024
• Subjects: Adolescent; Adult; Aged; Aged, 80 and over; Asthma - complications; Child; Chronic Disease; Cluster Analysis; Eosinophils; Female; Humans; Immunoglobulin E - blood; Male; Middle Aged; Nasal Polyps - complications; Neutrophils - metabolism; Phenotype; Rhinosinusitis - complications; Young Adult
• ISSN: 1673-0860
• DOI: 10.3760/cma.j.cn115330-20240131-00069

To utilize routinely available clinical parameters to uncover the clinical features of different clusters in patients with chronic rhinosinusitis with nasal polyp (CRSwNP) through unsupervised clustering analysis. The clinical data from 155 CRSwNP patients undergoing nasal endoscopic surgery at Renmin Hospital of Wuhan University from 2021 to 2023 were prospectively collected, including 112 males and 43 females, aged from 7 to 87 years. Unsupervised clustering analysis was conducted using various clinical parameters, including age, gender, smoking and drinking history, local eosinophil (EOS) and neutrophil (NEU) counts, comorbid allergic rhinitis (AR), comorbid asthma, recurrence status, serum-specific IgE, total IgE, cytokine levels, peripheral blood EOS count and percentage, Lund-Mackay CT score, the ratio of CT scores for the maxillary sinus and ethmoid sinus (E/M ratio), visual analogue scale (VAS) score, Lund-Kennedy endoscopic score, and other common clinical indicators to elucidate the clinical charact