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使用PrecisePASI检测银屑病严重程度的微小变化。

Detection of Small Changes in Psoriasis Intensity with PrecisePASI.

作者信息

Kolios Antonios G A, French Lars E, Navarini Alexander A

机构信息

Department of Dermatology, University Hospital of Zurich, Zurich, Switzerland.

出版信息

Dermatology. 2015;230(4):314-7. doi: 10.1159/000371811. Epub 2015 Mar 10.

DOI:10.1159/000371811
PMID:25765296
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.

摘要

背景

银屑病面积和严重程度指数(PASI)是用于评估银屑病严重程度和检测临床变化的首选评分方法。由于基于固定面积类别计算评分的分辨率较低,PASI评分<10的价值不大。

方法

在756例患者检查中,同时使用PASI和PrecisePASI测量银屑病活动度。

结果

PrecisePASI呈线性增加,而PASI呈阶梯状模式。两种评分在体表面积(BSA)为10%、30%、50%、70%和90%的终点相关值处相交。PASI和PrecisePASI在整个BSA范围内显著相关。在BSA<5%的区域,PrecisePASI显示出显著更高的分辨率(p<0.0001)。

结论

PrecisePASI的计算纠正了PASI在较低BSA范围内的不良不准确性,并且是一种在旨在检测较低BSA范围内差异的试验中用作终点的工具。

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