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Published on: June 5, 2019
Using heart rate variability to predict neurological outcomes in preterm infants: a scoping review
Magdalena Smolkova1, Shivani Sekar2, Seh Hyun Kim3,4
1School of Clinical Medicine, University of Cambridge, Cambridge, UK. ms2647@cam.ac.uk.
Insights
Decreased heart rate variability (HRV) in preterm infants is linked to brain injury and neurodevelopmental issues. Monitoring HRV may help predict neurological complications and long-term outcomes in these vulnerable infants.
Area of Science:
- Neonatal neurology
- Autonomic nervous system function
- Developmental pediatrics
Background:
- Preterm infants face elevated risks of neurological complications like intraventricular hemorrhage and white matter injury.
- These complications can lead to adverse neurodevelopmental outcomes and lower educational attainment post-discharge.
- Early detection and prediction of neurodevelopmental impairment are crucial for timely intervention.
Purpose of the Study:
- To conduct a scoping review on the utility of heart rate variability (HRV) monitoring for predicting neurological outcomes in preterm infants.
- To examine the association between HRV, brain injury, and neurodevelopmental outcomes in the preterm population.
- To assess the predictive value of HRV for both short-term and long-term neurological sequelae.
Main Methods:
- Systematic literature search across major databases (Medline, Embase, Web of Science, Cochrane Library).
- Inclusion of 15 relevant studies investigating HRV in preterm infants.
- Analysis of studies examining the relationship between HRV and brain injury, and HRV and long-term neurodevelopmental outcomes.
Main Results:
- Nine studies found an association between HRV and brain injury in preterm infants, with most indicating a correlation.
- Eight studies reported a significant association between HRV and long-term neurodevelopmental outcomes.
- Decreased HRV in the neonatal period appears to be a predictor of adverse neurological outcomes.
Conclusions:
- Reduced heart rate variability in preterm neonates is associated with both short-term brain injuries and long-term neurodevelopmental impairments.
- HRV monitoring shows potential as a non-invasive tool for predicting neurological complications in preterm infants.
- Further standardization of HRV metrics is needed for consistent clinical application and research.
Abstract:
Infants born preterm are at higher risk of neurological complications, including intraventricular haemorrhage and white matter injury. After discharge, these infants may experience adverse neurodevelopmental outcomes and exhibit lower educational attainment. Early detection of brain injury and accurate prediction of neurodevelopmental impairment would allow early intervention and support. Heart rate variability (HRV) describes the variation of time intervals between each subsequent heartbeat. HRV is controlled by the autonomic nervous system, which may be affected by hypoxia and compromised blood flow. While HRV has primarily been investigated in neonatal sepsis, the association between HRV, brain injury and neurodevelopmental outcomes in preterm infants is less established. The present scoping review examines the utility of HRV monitoring for predicting short-term and long-term neurological outcomes in preterm infants. Following systematic search of Medline, Embase, Web of Science and the Cochrane Library, 15 studies were included. Nine studies examined the relationship between HRV and brain injury, with all but two showed an association. Eight studies examined the relationship between HRV and long-term outcomes and all eight found an association. This scoping review suggests that decreased HRV in the neonatal period is associated with short- and long-term neurodevelopmental outcomes in preterm infants. IMPACT: Changes in heart rate variability correlate with the occurrence of intraventricular haemorrhage in preterm infants. A decrease in heart rate variability may precede the development of intraventricular haemorrhage. Alterations in heart rate variability correlate with long-term neurodevelopmental outcomes. Significant variability exists in metrics used in assessing heart rate variability.
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