Predictors of initiating biologics in the treatment of psoriasis

Background: Biologics are among the most effective therapies for psoriasis. However, many patients are only introduced to them at advanced stages of the disease course. Objectives: Our aim was to identify predictors of initiating biologic therapy in patients with psoriasis and compare patients initiating biologics early versus late in their disease course. Methods: Kaplan–Meier curves visualized time to biologic initiation, while Cox regression models further explored variables as predictors of biologic initiation. Mann–Whitney U and chi‐squared tests compared patients who started biologics early with those who began biologics later in the disease course. Results: Our primary analysis included 233 psoriasis patients. Cox regression showed that age at diagnosis (P = 0.007), general physical well‐being (P = 0.02), and nail psoriasis severity (P = 0.02) were significantly associated with time to biologic initiation. Our secondary analysis, the comparisons between patients starting biologics early versus later in the disease course, included a total of 378 patients. The median (interquartile range [IQR]) age at diagnosis was 34.5 (25.0–51.2) years for patients initiating biologics within 5 years, compared to 22.0 (15.0–32.8) years for patients initiating biologics later (P < 0.0001). The median (IQR) age at initiation was 37.0 (27.0–53.2) and 45.0 (36.0–55.0) years for patients initiating biologics earlier versus later than 5 years (P = 0.04). Conclusions: Age at diagnosis, general well‐being, and severity of nail psoriasis significantly predicted future initiation of biologic treatment. Patients initiating biologics early in their disease course were generally older at diagnosis but younger at the time of biologic initiation compared to patients initiating biologics later in their disease course.

Publication Details

Journal
Zurich Open Repository and Archive (University of Zurich)
Published
2024-10-01
DOI
https://doi.org/10.5167/uzh-270270
Primary Topic
Hydrological Forecasting Using AI
Type
article
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article

Predictors of initiating biologics in the treatment of psoriasis

Zurich Open Repository and Archive (University of Zurich)
Hydrological Forecasting Using AI
article

Predictors of initiating biologics in the treatment of psoriasis

article en

Abstract

Background: Biologics are among the most effective therapies for psoriasis. However, many patients are only introduced to them at advanced stages of the disease course. Objectives: Our aim was to identify predictors of initiating biologic therapy in patients with psoriasis and compare patients initiating biologics early versus late in their disease course. Methods: Kaplan–Meier curves visualized time to biologic initiation, while Cox regression models further explored variables as predictors of biologic initiation. Mann–Whitney U and chi‐squared tests compared patients who started biologics early with those who began biologics later in the disease course. Results: Our primary analysis included 233 psoriasis patients. Cox regression showed that age at diagnosis (P = 0.007), general physical well‐being (P = 0.02), and nail psoriasis severity (P = 0.02) were significantly associated with time to biologic initiation. Our secondary analysis, the comparisons between patients starting biologics early versus later in the disease course, included a total of 378 patients. The median (interquartile range [IQR]) age at diagnosis was 34.5 (25.0–51.2) years for patients initiating biologics within 5 years, compared to 22.0 (15.0–32.8) years for patients initiating biologics later (P < 0.0001). The median (IQR) age at initiation was 37.0 (27.0–53.2) and 45.0 (36.0–55.0) years for patients initiating biologics earlier versus later than 5 years (P = 0.04). Conclusions: Age at diagnosis, general well‐being, and severity of nail psoriasis significantly predicted future initiation of biologic treatment. Patients initiating biologics early in their disease course were generally older at diagnosis but younger at the time of biologic initiation compared to patients initiating biologics later in their disease course.

Zurich Open Repository and Archive (University of Zurich)
Openalex Percentile: Top 68%
Hydrological Forecasting Using AI
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Predictors of initiating biologics in the treatment of psoriasis · Zurich Open Repository and Archive (University of Zurich) (2024) | TGRS Research Map | TGRS