Predictive factors for responders to upadacitinib treatment in patients with atopic dermatitis

J Dermatolog Treat. 2024 Dec;35(1):2310643. doi: 10.1080/09546634.2024.2310643. Epub 2024 Jan 31.

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 15 mg or 30 mg, 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 15 mg and 52 patients with 30 mg. 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 15 mg upadacitinib were associated with lower total EASI and higher age whereas responders to 30 mg were associated with lower LDH and lower IgE.

Conclusions: Lower total EASI and higher age may predict responders to upadacitinib 15 mg while lower IgE and lower LDH may predict responders to 30 mg.

Keywords: Atopic dermatitis; Janus kinase inhibitor; predictive factor; responder; upadacitinib.

MeSH terms

  • Dermatitis, Atopic* / drug therapy
  • Double-Blind Method
  • Heterocyclic Compounds, 3-Ring*
  • Humans
  • Immunoglobulin A
  • Immunoglobulin E
  • Retrospective Studies
  • Severity of Illness Index
  • Treatment Outcome

Substances

  • upadacitinib
  • Immunoglobulin A
  • Immunoglobulin E
  • Heterocyclic Compounds, 3-Ring