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Reduced cerebral blood flow and oxygen metabolism in extremely preterm neonates with low-grade germinal matrix- intraventricular hemorrhage
Low-grade germinal matrix-intraventricular hemorrhage (GM-IVH) is the most common complication in extremely premature neonates. The occurrence of GM-IVH is highly associated with hemodynamic instability in the premature brain, yet the long-term impact of low-grade GM-IVH on cerebral blood flow and n...
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Published in: | Scientific reports 2016-05, Vol.6 (1), p.25903-25903, Article 25903 |
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Main Authors: | , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Low-grade germinal matrix-intraventricular hemorrhage (GM-IVH) is the most common complication in extremely premature neonates. The occurrence of GM-IVH is highly associated with hemodynamic instability in the premature brain, yet the long-term impact of low-grade GM-IVH on cerebral blood flow and neuronal health have not been fully investigated. We used an innovative combination of frequency-domain near infrared spectroscopy and diffuse correlation spectroscopy (FDNIRS-DCS) to measure cerebral oxygen saturation (SO
2
) and an index of cerebral blood flow (CBF
i
) at the infant’s bedside and compute an index of cerebral oxygen metabolism (CMRO
2i
). We enrolled twenty extremely low gestational age (ELGA) neonates (seven with low-grade GM-IVH) and monitored them weekly until they reached full-term equivalent age. During their hospital stay, we observed consistently lower CBF
i
and CMRO
2i
in ELGA neonates with low-grade GM-IVH compared to neonates without hemorrhages. Furthermore, lower CBF
i
and CMRO
2i
in the former group persists even after the resolution of the hemorrhage. In contrast, SO
2
does not differ between groups. Thus, CBF
i
and CMRO
2i
may have better sensitivity than SO
2
in detecting GM-IVH-related effects on infant brain development. FDNIRS-DCS methods may have clinical benefit for monitoring the evolution of GM-IVH, evaluating treatment response and potentially predicting neurodevelopmental outcome. |
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ISSN: | 2045-2322 2045-2322 |
DOI: | 10.1038/srep25903 |