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Updated: Apr 16, 2026

Author Spotlight: Self-Assessment Protocol for Predicting Psoriatic Arthritis in Psoriasis Patients
Published on: March 1, 2024
Detection of Small Changes in Psoriasis Intensity with PrecisePASI
Antonios G A Kolios1, Lars E French, Alexander A Navarini
1Department of Dermatology, University Hospital of Zurich, Zurich, Switzerland.
Background:
The Psoriasis Area and Severity Index (PASI) is the score of choice to grade psoriasis severity and detect clinical changes. Due to low resolution based on the calculation of the score by fixed area classes, PASI scores <10 have little value.
Methods:
At 756 patient examinations, psoriasis activity was measured with both PASI and PrecisePASI.
Results:
PrecisePASI has a linear increase while PASI has a staircase pattern. Both scores meet at the endpoint-relevant values of body surface area (BSA) 10, 30, 50, 70 and 90%. PASI and PrecisePASI correlate significantly over the whole range of BSA. In the region of BSA <5%, PrecisePASI shows a significantly higher resolution (p < 0.0001).
Conclusion:
The calculation of PrecisePASI corrects the undesired inaccuracies of PASI in the lower BSA ranges and is a tool to use as an endpoint in trials aiming to detect differences in the lower ranges of BSA.
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