Unknown

Dataset Information

Prediction of adult asthma risk in early childhood using novel adult asthma predictive risk scores.


ABSTRACT:

Background

Numerous risk scores have been developed to predict childhood asthma. However, they may not predict asthma beyond childhood. We aim to create childhood risk scores that predict development and persistence of asthma up to young adult life.

Methods

The Isle of Wight Birth Cohort (n = 1456) was prospectively assessed up to 26 years of age. Asthma predictive scores were developed based on factors during the first 4 years, using logistic regression and tested for sensitivity, specificity and area under the curve (AUC) for prediction of asthma at (i) 18 and (ii) 26 years, and persistent asthma (PA) (iii) at 10 and 18 years, and (iv) at 10, 18 and 26 years. Models were internally and externally validated.

Results

Four models were generated for prediction of each a

SUBMITTER: Farhan AJ 

PROVIDER: S-EPMC10840748 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature