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Predicting dupilumab treatment outcome in patients with primary diffuse type 2 chronic rhinosinusitis

杜皮鲁玛 医学 慢性鼻-鼻窦炎 内科学 队列 血清学 前瞻性队列研究 鼻息肉 胃肠病学 队列研究 免疫学 抗体 哮喘
作者
Michael Soyka,Fabio S. Ryser,Catrin Brühlmann,Danielle Fehr,Jacqueline Dülgeroglu,Peter Schmid‐Grendelmeier,Marie‐Charlotte Brüggen,Urs C. Steiner
出处
期刊:Allergy [Wiley]
卷期号:78 (4): 1036-1046 被引量:18
标识
DOI:10.1111/all.15532
摘要

BACKGROUND: Chronic rhinosinusitis with a type 2 inflammatory pattern (T2CRS) is believed to be restricted to the nose and sinuses and associated with polyps, without clear serologic markers. Dupilumab is a promising new therapy in difficult to treat T2CRS. No factors are known to predict dupilumab treatment outcome. METHODS: Patients undergoing dupilumab treatment were assessed clinically to report ultra-short- and short-term outcome up to 90 days. Serum samples were taken on day 0 and 30 days of treatment, and proteomic analyses were performed using Olink®. The results were compared with healthy controls (HC). The aim was to identify clinical and serological markers associated with a treatment response to dupilumab. Confirmation of predictive parameters was evaluated in a prospective cohort of 20 T2CRS patients. RESULTS: Thirty patients were included, 80% of which were treatment responders. SinoNasalOutcomeTest-20 (SNOT-20) scores and the total nasal polyp score improved significantly (p < .05) on Day 7. An improvement of 2.5 points at the first visit was associated with a favorable outcome with a sensitivity of 86%. Proteomic analyses revealed significant changes compared with HC. Furthermore, we could identify OPG in the serum of dupilumab-treated patients that may serve as a predictor of the clinical outcome of dupilumab treatment. The predictive value of OPG was confirmed in the second cohort. CONCLUSION: Clinical response after 1 week of treatment with dupilumab is highly associated with a favorable outcome. High sensitivity proteomic analyses can identify T2CRS-specific dysregulated proteins in serum. Serum OPG may serve as a predictor for dupilumab treatment outcome before the initiation of any therapy.
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