Ontology highlight
ABSTRACT: Background
Dermatologists would benefit from an easy to use psoriasis severity assessment tool in the clinic.Objective
To develop psoriasis assessment tools to predict PASI and Dermatology Life Quality Index (DLQI) using simple measures typically collected in clinical practice.Methods
Data included 33 605 dermatology visits among plaque psoriasis patients enrolled in the CorEvitas Psoriasis Registry (4/15/15-7/11/20). Performance (adjusted coefficient of determination [R2 adj], root mean square error [RMSE]) in predicting PASI and DLQI was assessed for 16 different linear regression models (specified a priori based on combinations of BSA, Investigator's Global Assessment [IGA], itch, skin pain, patient global assessment, age, sex, BMI, comorbid
SUBMITTER: Gulliver WP
PROVIDER: S-EPMC11361488 | biostudies-literature | 2023 Apr
REPOSITORIES: biostudies-literature