Predictive monitoring in neonates |
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Affiliation: | 1. University of Tennessee Health Science Center-Oak Ridge National Laboratory Center for Biomedical Informatics, Memphis, TN 38103;2. Department of Health Informatics and Data Science, Loyola University Chicago, Maywood, IL 60153;1. Physical Therapy Department, School of Health Professions, Sackler Faculty of Medicine, Tel Aviv University, Israel;2. Shaare–Zedek Medical Center, Jerusalem, Israel |
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Abstract: | Premature infants are physiologically immature and are particularly vulnerable to systemic illnesses. Instability of vital signs related to immaturity of organ systems are common but may also represent early manifestations of serious illness. While vital signs are frequently or continuously monitored in critically unwell neonates, changes in these parameters are subtle in the early phase of illness such as sepsis and difficult to interpret using traditional neonatal monitoring tools. Recent advances in identifying trends and patterns of vital signs in the pre-clinical phase of the illness, particularly in the field of heart rate characteristics monitoring has opened up the potential to improve outcomes through rapid and timely investigations and early intervention. This article reviews the current evidence in predictive monitoring of neonates and discusses potential clinical implications. |
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Keywords: | heart rate characteristics index neonates predictive monitoring sepsis vital signs |
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