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1.
Front Neurosci ; 17: 1105638, 2023.
Article in English | MEDLINE | ID: mdl-36937667

ABSTRACT

Background: Infants born at 29-36 weeks gestational age (GA) are at risk of experiencing neurodevelopmental challenges. We hypothesize that cerebral hemodynamics and oxygen metabolism measured by bedside optical brain monitoring are potential biomarkers of brain development and are associated with neurological examination at term-equivalent age (TEA). Methods: Preterm infants (N = 133) born 29-36 weeks GA and admitted in the neonatal intensive care unit were enrolled in this prospective cohort study. Combined frequency-domain near infrared spectroscopy (FDNIRS) and diffuse correlation spectroscopy (DCS) were used from birth to TEA to measure cerebral hemoglobin oxygen saturation and an index of microvascular cerebral blood flow (CBF i ) along with peripheral arterial oxygen saturation (SpO2). In combination with hemoglobin concentration in the blood, these parameters were used to derive cerebral oxygen extraction fraction (OEF) and an index of cerebral oxygen metabolism (CMRO2i ). The Amiel-Tison and Gosselin Neurological Assessment was performed at TEA. Linear regression models were used to assess the associations between changes in FDNIRS-DCS parameters from birth to TEA and GA at birth. Logistic regression models were used to assess the associations between changes in FDNIRS-DCS parameters from birth to TEA and neurological examination at TEA. Results: Steeper increases in CBF i (p < 0.0001) and CMRO2i (p = 0.0003) were associated with higher GA at birth. Changes in OEF, CBF i , and CMRO2i from birth to TEA were not associated with neurological examination at TEA. Conclusion: In this population, cerebral FDNIRS-DCS parameters were not associated with neurological examination at TEA. Larger increases in CBF i and CMRO2i from birth to TEA were associated with higher GA. Non-invasive bedside FDNIRS-DCS monitoring provides cerebral hemodynamic and metabolic parameters that may complement neurological examination to assess brain development in preterm infants.

3.
Early Hum Dev ; 94: 13-7, 2016 Mar.
Article in English | MEDLINE | ID: mdl-26874215

ABSTRACT

BACKGROUND: Extremely preterm infants are at high-risk for neurodevelopmental disabilities. The Movement Assessment of Infants (MAI) and the Alberta Infant Motor Scale (AIMS) have been designed to predict outcome with modest accuracy with the Bayley-I or Bayley-II. AIMS: To examine and compare the predictive validity of the MAI and AIMS in determining neurodevelopmental outcome with the Bayley-III. DESIGN: Retrospective cohort study of 160 infants born at ≤ 28 weeks gestation. METHOD: At their corrected age, infants underwent the MAI at 4 months, the AIMS at 4 and 10-12 months, and the Bayley-III and neurological examination at 18 months. Sensitivity and specificity were calculated. RESULTS: Infants had a mean gestation of 26.3 ± 1.4 weeks and birth weight of 906 ± 207 g. A high-risk score (≥ 14) for adverse outcome was obtained by 57% of infants on the MAI. On the AIMS, a high-risk score (<5th percentile) was obtained by 56% at 4 months and 30% at 10-12 months. At 18 months, infants with low-risk scores on either the MAI or AIMS had higher cognitive, language, and motor Bayley-III scores than those with high-risk scores. They were less likely to have severe neurodevelopmental impairment. To predict Bayley-III scores <70, sensitivity and specificity were 91% and 49%, respectively, for the MAI and 78% and 48%, respectively, for the AIMS. CONCLUSIONS: Extremely preterm infants with low-risk MAI at 4 months or AIMS scores at 4 or 10-12 months had better outcomes than those with high-risk scores. However, both tests lack specificity to predict individual neurodevelopmental status at 18 months.


Subject(s)
Child Development , Developmental Disabilities/diagnosis , Infant, Extremely Premature/physiology , Movement , Neurologic Examination/methods , Adult , Developmental Disabilities/epidemiology , Female , Humans , Infant, Extremely Premature/growth & development , Infant, Newborn , Severity of Illness Index
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