Predicting the serum digoxin concentrations of infants in the neonatal intensive care unit through an artificial neural network.

ABSTRACT: BACKGROUND:Given its narrow therapeutic range, digoxin's pharmacokinetic parameters in infants are difficult to predict due to variation in birth weight and gestational age, especially for critically ill newborns. There is limited evidence to support the safety and dosage requirements of digoxin, let alone to predict its concentrations in infants. This study aimed to compare the concentrations of digoxin predicted by traditional regression modeling and artificial neural network (ANN) modeling for newborn infants given digoxin for clinically significant patent ductus arteriosus (PDA). METHODS:A retrospective chart review was conducted to obtain data on digoxin use for clinically significant PDA in a neonatal intensive care unit. Newborn infants who were given digoxin and had digoxin concent

SUBMITTER: Yao SH 

PROVIDER: S-EPMC6933639 | biostudies-literature | 2019 Dec

REPOSITORIES: biostudies-literature