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Dataset Information

Developing and validating clinical models to identify candidates for allergic rhinitis pre-exposure prophylaxis.


ABSTRACT:

Purpose

Few risk-forecasting models of allergic rhinitis (AR) exist that may aid AR pre-exposure prophylaxis (PrEP) in clinical practice. Therefore, this study aimed to develop and validate an effective clinical model for identifying candidates for AR PrEP using a routine medical questionnaire.

Methods

This study was conducted in 10 Chinese provinces with 13 medical centers (n = 877) between 2019 and 2021. Clinical characteristics and exposure history were collected via face-to-face interviews. Well-trained physicians diagnosed patients with AR based on skin prick test results and clinical performance. The least absolute shrinkage and selection operator model was used to identify potential risk factors for AR, and the logistic regression model was used to const

SUBMITTER: Luo W 

PROVIDER: S-EPMC10836286 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature