Correlation of lateral ventricular size and deep gray matter volume in MRI at term equivalent age with neurodevelopmental outcome at a corrected age of 24 months and with handedness in preterm infants.

The aim of this study was to correlate ventricular size and volumes of deep gray matter (DGM) in MRI at term equivalent age (TEA) with outcome at a corrected age of 24 months in preterm infants and with handedness. Seventy-three infants born before 32 weeks of gestation or with birth weight < 1500 g  were included in this retrospective analysis and measurement of lateral ventricles, and DGM was performed on MRI scans. The left lateral ventricle was significantly larger than the right lateral ventricle (p = 0.001). There was no correlation between volumes of the right and left ventricles and the DGM volume (p = 0.207 and p = 0.597, respectively), nor with the head circumference at TEA (p = 0.177 and p = 0.976, respectively). The total volume of both lateral ventricles did not correlate with Mental Develomental Index (MDI, p = 0.336) or Psychomotor Developmental Index (PDI, p = 0.650) score (Bayley Scales of Infant Development, BSID II). However, a correlation of total DGM volume with birth weight (p = 0.0001; r = 0.437), head circumference at TEA (p < 0.0001; r = 0.640), MDI (p = 0.029; r = 0.310), and PDI (p = 0.002; r = 0.456) was observed. No significant difference between right- and left-handed infants was seen in relation to volumes of both lateral ventricles and of DGM.Conclusion: DGM volume at TEA was significantly associated with the outcome at a corrected age of 24 months. Handedness did not correlate with DGM or lateral ventricle size.What is Known:• White matter injury as well as altered development of deep gray matter is associated with neurodevelopmental disability in preterm infants.• No study analyzed the association between deep gray matter volume or volumes of lateral ventricle and handedness in former preterm infants so far.What is New:• Volume of deep gray matter, but not lateral ventricular size was significantly associated with outcome at a corrected age of 24 months in preterm infants.• There was no correlation of handedness with volumes of lateral ventricular size or with deep gray matter volumes.

Relationship between brain function (aEEG) and brain structure (MRI) and their predictive value for neurodevelopmental outcome of preterm infants.

To improve the prediction of neurodevelopmental outcome in very preterm infants, this study used the combination of amplitude-integrated electroencephalography (aEEG) within the first 72 h of life and cranial magnetic resonance imaging (MRI) at term equivalent age. A single-center cohort of 38 infants born before 32 weeks of gestation was subjected to both investigations. Structural measurements were performed on MRI. Multiple regression analysis was used to identify independent factors including functional and structural brain measurements associated with outcome at a corrected age of 24 months. aEEG parameters significantly correlated with MRI measurements. Reduced deep gray matter volume was associated with low Burdjalov Score on day 3 (p < 0.0001) and day 1-3 (p = 0.0012). The biparietal width and the transcerebellar diameter were related to Burdjalov Score on day 1 (p = 0.0111; p = 0.0002). The final multiple regression analysis revealed independent predictors of neurodevelopmental outcome: intraventricular hemorrhage (p = 0.0060) and interhemispheric distance (p = 0.0052) for mental developmental index; Burdjalov Score day 1 (p = 0.0201) and interhemispheric distance (p = 0.0142) for psychomotor developmental index. CONCLUSION: Functional aEEG parameters were associated with altered brain maturation on MRI. The combination of aEEG and MRI contributes to the prediction of outcome at 24 months. What is Known: • Prematurity remains a risk factor for impaired neurodevelopment. • aEEG is used to measure brain activity in preterm infants and cranial MRI is performed to identify structural gray and white matter abnormalities with impact on neurodevelopmental outcome. What is New: • aEEG parameters observed within the first 72 h of life were associated with altered deep gray matter volumes, biparietal width, and transcerebellar diameter at term equivalent age. • The combination of aEEG and MRI contributes to the prediction of neurodevelopmental outcome at 2 years of corrected age in very preterm infants.

Comparison of two common aEEG classifications for the prediction of neurodevelopmental outcome in preterm infants.

Neurodevelopmental outcome after prematurity is crucial. The aim was to compare two amplitude-integrated EEG (aEEG) classifications (Hellström-Westas (HW), Burdjalov) for outcome prediction. We recruited 65 infants ≤32 weeks gestational age with aEEG recordings within the first 72 h of life and Bayley testing at 24 months corrected age or death. Statistical analyses were performed for each 24 h section to determine whether very immature/depressed or mature/developed patterns predict survival/neurological outcome and to find predictors for mental development index (MDI) and psychomotor development index (PDI) at 24 months corrected age. On day 2, deceased infants showed no cycling in 80% (HW, p = 0.0140) and 100% (Burdjalov, p = 0.0041). The Burdjalov total score significantly differed between groups on day 2 (p = 0.0284) and the adapted Burdjalov total score on day 2 (p = 0.0183) and day 3 (p = 0.0472). Cycling on day 3 (HW; p = 0.0059) and background on day 3 (HW; p = 0.0212) are independent predictors for MDI (p = 0.0016) whereas no independent predictor for PDI was found (multiple regression analyses). CONCLUSION: Cycling in both classifications is a valuable tool to assess chance of survival. The classification by HW is also associated with long-term mental outcome. What is Known: •Neurodevelopmental outcome after preterm birth remains one of the major concerns in neonatology. •aEEG is used to measure brain activity and brain maturation in preterm infants. What is New: •The two common aEEG classifications and scoring systems described by Hellström-Westas and Burdjalov are valuable tools to predict neurodevelopmental outcome when performed within the first 72 h of life. •Both aEEG classifications are useful to predict chance of survival. The classification by Hellström-Westas can also predict long-term outcome at corrected age of 2 years.

Neurological outcome at 24 months corrected age of prematurely born infants after preterm premature rupture of membranes (PPROM) of at least 7 days: a two-center experience in Germany.

Objective: Preterm premature rupture of membranes (PPROM) is a risk factor for chorioamnionitis (CA) and injury to the fetal brain. However, prolongation of gestation prevents morbidity and decreases complications of prematurity. The current investigation is to define risk factors for the adverse neurological outcome from the influence of PPROM of at least 7 days.Methods: A case-control study included three groups of preterm infants born at the University Hospitals Bonn and Essen, Germany. The first group consisted of infants with PPROM of at least 7 days and no chorioamnionitis (CA) (PPROM group), the second included preterm infants with CA (CA group), and the third group consisted of infants without PPROM and CA (control group). The outcome was assessed using Bayley Scales of Infant Development at a corrected age of 24 months. Each group consisted of 20 corresponding infants with an identical birth weight and gestational age at birth.Results: There was no significant difference between the mental development index (MDI) and psychomotor development index (PDI) scores (mean ± SD): the MDI score was 101 ± 14 in the PPROM group, 98 ± 12 in the CA group and 96 ± 17 in the control group; the PDI score 96 ± 10, 89 ± 16, and 90 ± 17, respectively. Multiple regression analysis revealed no significant influence of PPROM and CA on neurological outcome.Conclusions: PPROM of at least 7 days has no influence on neurodevelopmental outcome at a corrected age of 24 months when birth is initiated in the case of beginning CA.

Are Simple Magnetic Resonance Imaging Biomarkers Predictive of Neurodevelopmental Outcome at Two Years in Very Preterm Infants?

BACKGROUND: Preterm infants are at increased risk of neurodevelopmental impairment due to the vulnerability of the immature brain. Early risk stratification is necessary for predicting outcome in the period of highest neuroplasticity. Several biomarkers in magnetic resonance imaging (MRI) at term equivalent age (TEA) have therefore been suggested. OBJECTIVE: To assess the predictive value of simple brain metrics and the total abnormality score (TAS) - a modified score for brain injury and growth - in relation to neurodevelopmental outcome of very preterm infants in MRI at TEA. METHODS: Single-centre cohort study including preterm infants with gestational age (GA) ≤32 weeks and birth weight ≤1,500 g. Biparietal width (BPW), interhemispheric distance, transcerebellar diameter (TCD) and TAS were assessed. To detect subtle haemorrhages, additional susceptibility-weighted imaging (SWI) was used in addition to conventional MRI to evaluate its clinical relevance. Neurodevelopment was tested by the Mental and Psychomotor Developmental Index (MDI/PDI) of the Bayley Scales of Infant Development II at a corrected age of 24 months. RESULTS: One hundred twenty-nine children with median GA of 28.1 weeks and median birth weight of 980 g were included. BPW significantly correlated with PDI (p= 0.01, R2 = 0.06) and TCD with MDI (p < 0.01, R2 = 0.05) and PDI (p < 0.01, R2 = 0.06) but explained variances were low. TAS was not predictive of neurodevelopmental outcome. By using SWI, additional 4 cases of low grade haemorrhages were identified compared to conventional sequences. In one case this additional information was clinically relevant (MDI/PDI below average). CONCLUSION: Simple brain metrics and TAS did not reliably predict neurodevelopmental outcome in a cohort with low prevalence of high grade brain injury. The additional value of SWI is yet to be determined in larger cohorts. The combination of imaging and functional biomarkers may be advisable for the prediction of neurodevelopmental outcome.