Predicting congenital hypothyroidism in newborns with complex risk profiles by using thyroid-stimulating hormone variations across serial dried blood spots | Synapse
March 3, 2026
Predicting congenital hypothyroidism in newborns with complex risk profiles by using thyroid-stimulating hormone variations across serial dried blood spots
Key Points
Congenital hypothyroidism may be ruled out more effectively using predictive algorithms based on TSH variations.
The analysis identifies algorithms specifically designed for term and preterm newborns to enhance screening accuracy.
Utilizing TSH variations as daily percentage changes allows better risk stratification among newborns with complex profiles.
These predictive algorithms highlight the need for tailored screening approaches to improve health outcomes in at-risk populations.
Abstract
Distinct predictive algorithms for term and preterm newborns, incorporating TSH variations as daily percentage changes, may improve CH rule out in children with complex risk profiles.