Predictive value of clinical characteristics in eosinophilic chronic rhinosinusitis with nasal polyps: A cross‐sectional study in the Chinese population

Abstract Background Eosinophilic chronic rhinosinusitis with nasal polyps (ECRSwNP) is a refractory subtype of chronic rhinosinusitis with nasal polyps (CRSwNP), with clinical characteristics differing from those of non‐ECRSwNP. We aimed to explore the predictive value of clinical characteristics, including medical history, symptoms, and signs, prior to ECRSwNP diagnosis, and to develop a nomogram for use in clinical practice. Methods A total of 502 patients with CRSwNP were enrolled. Based on the degree of eosinophilic infiltration in nasal polyps (NPs), patients were classified as ECRSwNP or non‐ECRSwNP group. Participants’ demographic characteristics, asthma history, severity of nasal symptoms (nasal obstruction, rhinorrhea, hyposmia, and facial pain/headache) according to the visual analog scale, and nasal polyp scores based on polyp scoring system were recorded. Logistic regression analysis was performed to screen for independent risk factors, and a model nomogram was constructed. Results The percentage of asthmatic patients and the hyposmia, rhinorrhea, and total nasal symptom scores were significantly higher in ECRSwNP patients than that in non‐ECRSwNP patients. The nasal polyp score was lower in the eosinophilic group than that in the non‐eosinophilic group. Logistic regression analysis revealed that asthma history and hyposmia, rhinorrhea and nasal polyp scores were independent predictors of ECRSwNP. A nomogram consisting of these four independent risk factors was constructed, and its C‐index was 0.808 (95% CI, 0.771 to 0.846). Conclusions The nomogram based on asthma history and olfactory, rhinorrhea, and nasal polyp scores could help predict ECRSwNP, providing a simple, fast, and practical way to distinguish ECRSwNP from non‐ECRSwNP cases in clinical practice.