Literature DB >> 25765296

Detection of Small Changes in Psoriasis Intensity with PrecisePASI.

Antonios G A Kolios1, Lars E French, Alexander A Navarini.   

Abstract

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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Year:  2015        PMID: 25765296     DOI: 10.1159/000371811

Source DB:  PubMed          Journal:  Dermatology        ISSN: 1018-8665            Impact factor:   5.366


  2 in total

1.  Add-on effect of PSORI-CM01 to topical calcipotriol for moderate psoriasis vulgaris: A multi-center, randomized, double-blind pilot study.

Authors:  Shefton Parker; Anthony Lin Zhang; Claire Shuiqing Zhang; Greg Goodman; Zehuai Wen; Yuhong Yan; Danni Yao; Huimei Wu; Hao Deng; Chuanjian Lu; Charlie Changli Xue
Journal:  Clin Transl Med       Date:  2021-01

2.  Quantification of Efflorescences in Pustular Psoriasis Using Deep Learning.

Authors:  Ludovic Amruthalingam; Oliver Buerzle; Philippe Gottfrois; Alvaro Gonzalez Jimenez; Anastasia Roth; Thomas Koller; Marc Pouly; Alexander A Navarini
Journal:  Healthc Inform Res       Date:  2022-07-31
  2 in total

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