Modeling Posttreatment Prognosis of Skin Lesions in Patients With Psoriasis in China

Author:

Yang Zhihui1234,Han Shasha56,Wu Peng678,Wang Mingyue1234,Li Ruoyu1234,Zhou Xiao-Hua6910,Li Hang123411

Affiliation:

1. Department of Dermatology and Venerology, Peking University First Hospital, Beijing, China

2. Beijing Key Laboratory of Molecular Diagnosis of Dermatoses, Peking University First Hospital, Beijing, China

3. National Clinical Research Center for Skin and Immune Diseases, Beijing, China

4. NMPA Key Laboratory for Quality Control and Evaluation of Cosmetics, Peking University First Hospital, Beijing, China

5. School of Population Medicine and Public Health, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China

6. Beijing International Center for Mathematical Research, Peking University, Beijing, China

7. School of Mathematics and Statistics, Beijing Technology and Business University, Beijing, China

8. Research Center for Consumption Big Data and Intelligent Decision-Making, Beijing Technology and Business University, Beijing, China

9. Department of Biostatistics, School of Public Health, Peking University, Beijing, China

10. National Engineering Laboratory of Big Data Analysis and Applied Technology, Peking University, Beijing, China

11. Peking University–Yunnan Baiyao International Medical Research Center, Beijing, China

Abstract

ImportanceUnderstanding the posttreatment prognosis of skin lesions in patients with psoriasis is essential for improving patients’ treatment satisfaction.ObjectivesTo model the prognosis of skin lesions for patients with psoriasis after 3 types of therapy.Design, Setting, and ParticipantsThis prospective cohort study included patients with psoriasis who visited a dermatologist and were enrolled in the platform of the Psoriasis Standardized Diagnosis and Treatment Center in China from August 2020 to December 2021.InterventionsBiologic, traditional, and systemic therapy for psoriasis.Main Outcomes and MeasuresSkin lesions were measured by the Investigator’s Global Assessment (IGA) scale subsumed into 4 stages of severity (IGA 0/1, IGA 2, IGA 3, and IGA 4), with higher scores indicating higher severity. The matching method was used to balance baseline covariates between patients receiving each of the 3 treatments. Transition probabilities from IGA scores at baseline to 0 to 1 month and 1 to 12 months were estimated.ResultsA total of 8767 patients were included in the final analysis (median age, 38.6 years [IQR, 28.7-52.8 years]; 5809 [66.3%] male). Across the 3 therapies, as the follow-up duration increased, the probability of improvement transition into a less severe IGA stage (from IGA 4 to IGA 0/1) increased from 0.19 (95% CI, 0.18-0.21) in 0 to 1 month to 0.36 (95% CI, 0.34-0.37) in 1 to 12 months. Biologic therapy was associated with greater improvement transitions for severe conditions, with transition probabilities from IGA 4 to IGA 0/1 increasing by 0.06 (95% CI, 0.02-0.09) vs traditional therapy and by 0.06 (95% CI, 0.03-0.09) vs systemic therapy in 0 to 1 month and by 0.08 (95% CI, 0.04-0.12) vs traditional therapy and 0.11 (95% CI, 0.07-0.14) vs systemic therapy in 1 to 12 months.Conclusions and RelevanceThis cohort study modeling psoriasis prognosis provided a complete prognosis of skin lesions, and biologic therapy was associated with improved prognosis of moderate to severe psoriasis compared with traditional and systemic therapies. The study provides insight on using transition diagrams to assess psoriasis prognosis and to communicate with patients in clinical practice.

Publisher

American Medical Association (AMA)

Subject

General Medicine

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Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Immune cells in skin inflammation, wound healing, and skin cancer;Journal of Leukocyte Biology;2023-09-18

2. Expanding the Global Perspective on Psoriasis;JAMA Network Open;2023-04-06

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