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ORIGINAL RESEARCH article

Front. Immunol.

Sec. Autoimmune and Autoinflammatory Disorders: Autoinflammatory Disorders

Volume 16 - 2025 | doi: 10.3389/fimmu.2025.1641225

Impact of temperature trend-defined seasonality on psoriasis treatment outcomes: a multicentre longitudinal study

Provisionally accepted
  • 1Shanghai Skin Diseases Hospital, Shanghai, China
  • 2Tongji University School of Medicine, Shanghai, China
  • 3Huashan Hospital Fudan University, Shanghai, China

The final, formatted version of the article will be published soon.

Abstract Background Psoriasis severity and symptoms are widely known to vary seasonally. However, evidence on the impact of seasonality on treatment outcomes is limited, with vague season definitions. It also remains unclear whether seasons represent static meteorological levels or dynamic trends. Objective To assess the impact of a novel temperature trend-defined seasonality on psoriasis treatment responses at 2 and 3 months. Methods Data were derived from the Shanghai Psoriasis Effectiveness Evaluation CoHort (SPEECH), a prospective, multicentre registry assessing the effectiveness of biologics (adalimumab, ustekinumab, secukinumab and ixekizumab), conventional systemic therapies (acitretin and methotrexate), and phototherapy. Patients were categorized into warming (consistent temperature increase), transition (non-unidirectional changes), and cooling (consistent temperature decrease) groups based on ambient temperature trends during the treatment period. Effectiveness was defined as achieving Psoriasis Area and Severity Index (PASI) 75 (≥ 75% improvement in PASI), PASI 90 (≥ 90% improvement in PASI), Physician's Global Assessment (PGA) of 0/1, and Dermatology Quality of Life Index minimal important difference (DLQI MID) (≥ 4 points improvement) at 2 and 3 months. Covariate balancing propensity score (CBPS) weighting was applied to balance baseline covariates, and odds ratios (ORs) with 95% confidence intervals (CIs) were estimated. Interaction analyses evaluated potential factors that may stratify treatment response. Results In the 3-month analysis of 1411 patients, the cooling group showed significantly lower odds of achieving PASI 75 (adjusted OR 0.70, 95% CI 0.61–0.80, P < .001), PASI 90 (adjusted OR 0.68, 95% CI 0.59–0.79, P < .001), PGA 0/1 (adjusted OR 0.65, 95% CI 0.57–0.75, P < .001), and DLQI MID (adjusted OR 0.86, 95% CI 0.75–0.99, P = .032) compared to the warming group. The transition group showed intermediate outcomes. Body mass index (BMI) significantly modified treatment effectiveness, with higher BMI associated with poorer responses, whereas treatment type did not alter the seasonal effect. Findings were largely consistent at 2 months. Conclusions Cooling trends are associated with reduced treatment efficacy independently of static temperature, humidity, and ultraviolet levels. This BMI-modified effect underscores the importance of personalized management strategies addressing both environmental and patient-specific factors.

Keywords: Psoriasis, Epidemiology, temperature, Treatment, Outcome

Received: 04 Jun 2025; Accepted: 31 Aug 2025.

Copyright: © 2025 Song, Wang, Yang and Yu. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Ning Yu, Huashan Hospital Fudan University, Shanghai, China

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