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.