Variation in cystic fibrosis newborn screening algorithms in the United States.

Maryann R RehaniMary S MarcusAnne B HarrisPhilip M Farrell Clement L Ren

Published in: Pediatric pulmonology (2022)

CF NBS algorithms vary widely amongst the different states in the United States, which affects the ability of CF NBS to diagnose newborn infants with CF consistently and uniformly across the country and potentially may miss more infants with CF from minority populations. Our results identify an important area for quality improvement in CF NBS.

Keyphrases

cystic fibrosis
pseudomonas aeruginosa
lung function
machine learning
quality improvement
deep learning
patient safety
chronic obstructive pulmonary disease