Development and validation of a multivariable risk prediction model for serious infection in patients with psoriasis receiving systemic therapy.

ABSTRACT:

Background

Patients with psoriasis are often concerned about the risk of serious infection associated with systemic psoriasis treatments.

Objectives

To develop and externally validate a prediction model for serious infection in patients with psoriasis within 1 year of starting systemic therapies.

Methods

The risk prediction model was developed using the British Association of Dermatologists Biologic Interventions Register (BADBIR), and the German Psoriasis Registry PsoBest was used as the validation dataset. Model discrimination and calibration were assessed internally and externally using the C-statistic, the calibration slope and the calibration in the large.

Results

Overall 175 (1·7%) out of 10 033 participants from BADBIR and 41 (1·7%) out of 2423 participa

SUBMITTER: Yiu ZZN 

PROVIDER: S-EPMC6850093 | biostudies-literature | 2019 Apr

REPOSITORIES: biostudies-literature