
Predicting Apnoeic Events in Preterm Infants
Author(s) -
Lim K,
Haimin Jiang,
Andrew Marshall,
B.P. Salmon,
Timothy J. Gale,
Peter A. Dargaville
Publication year - 2020
Publication title -
frontiers in pediatrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.96
H-Index - 36
ISSN - 2296-2360
DOI - 10.3389/fped.2020.00570
Subject(s) - medicine , intensive care medicine , bradycardia , hypoxemia , apnea , apnea of prematurity , intervention (counseling) , pediatrics , anesthesia , pregnancy , gestational age , heart rate , psychiatry , biology , blood pressure , genetics
Apnoea, a pause in respiration, is almost ubiquitous in preterm infants born before completing 30 weeks gestation. Apnoea often begets hypoxemia and/or bradycardia, and has the potential to result in adverse neurodevelopmental consequences. Our current inability to predict apnoeic events in preterm infants requires apnoea to first be detected by monitoring device/s in order to trigger an intervention by bedside (medical or nursing) staff. Such a reactive management approach is laborious, and makes the consequences of apnoeic events inevitable. Recent technological advances and improved signal processing have allowed the possibility of developing prediction models for apnoeic events in preterm infants. However, the development of such models has numerous challenges and is only starting to show potential. This paper identifies requisite components and current gaps in developing prediction models for apnoeic events, and reviews previous studies on predicting apnoeic events in preterm infants.