1. Predictive factors for responders to upadacitinib treatment in patients with atopic dermatitis.
- Author
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Teppei Hagino, Mai Yoshida, Risa Hamada, Hidehisa Saeki, Eita Fujimoto, and Naoko Kanda
- Subjects
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ATOPIC dermatitis , *LOGISTIC regression analysis , *IMMUNOGLOBULIN A , *KINASE inhibitors - Abstract
Background: Janus kinase 1 inhibitor upadacitinib is therapeutically effective for atopic dermatitis (AD). However, predictive factors for high responders to upadacitinib have not been established in real-world clinical practice. Objectives: To identify predictive factors for responders to upadacitinib 15mg or 30mg, defined as achievers of investigator’s global assessment (IGA) 0/1 with ≥ 2-point improvement from basal IGA. Methods: A retrospective study was conducted from August 2021 to July 2023 on 159 AD patients treated with upadacitinib 15mg and 52 patients with 30mg. Patients in each group were categorized into responders (achievers of IGA 0/1 at week 12) and non-responders (non-achievers). We compared baseline values of clinical and laboratory parameters between responders and non-responders. Logistic regression analysis was used to detect variables predicting responders. Receiver-operating characteristic curves were used for evaluating prediction capabilities of the variables. Results: In logistic regression analysis, responders to 15mg upadacitinib were associated with lower total EASI and higher age whereas responders to 30mg were associated with lower LDH and lower IgE. Conclusions: Lower total EASI and higher age may predict responders to upadacitinib 15mg while lower IgE and lower LDH may predict responders to 30mg. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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