Neonatal Seizure Management - Is the Timing of Treatment Critical?

Objective: To assess the impact of the time to treatment of the first electrographic seizure on subsequent seizure burden and describe overall seizure management in a large neonatal cohort. Study design: Newborns (36-44 weeks of gestation) requiring electroencephalographic (EEG) monitoring recruited to 2 multicenter European studies were included. Infants who received antiseizure medication exclusively after electrographic seizure onset were grouped based on the time to treatment of the first seizure: antiseizure medication within 1 hour, between 1 and 2 hours, and after 2 hours. Outcomes measured were seizure burden, maximum seizure burden, status epilepticus, number of seizures, and antiseizure medication dose over the first 24 hours after seizure onset. Results: Out of 472 newborns recruited, 154 (32.6%) had confirmed electrographic seizures. Sixty-nine infants received antiseizure medication exclusively after the onset of electrographic seizure, including 21 infants within 1 hour of seizure onset, 15 between 1 and 2 hours after seizure onset, and 33 at >2 hours after seizure onset. Significantly lower seizure burden and fewer seizures were noted in the infants treated with antiseizure medication within 1 hour of seizure onset (P =.029 and.035, respectively). Overall, 258 of 472 infants (54.7%) received antiseizure medication during the study period, of whom 40 without electrographic seizures received treatment exclusively during EEG monitoring and 11 with electrographic seizures received no treatment. Conclusions: Treatment of neonatal seizures may be time-critical, but more research is needed to confirm this. Improvements in neonatal seizure diagnosis and treatment are also needed

A machine-learning algorithm for neonatal seizure recognition: a multicentre, randomised, controlled trial

Background: Despite the availability of continuous conventional electroencephalography (cEEG), accurate diagnosis of neonatal seizures is challenging in clinical practice. Algorithms for decision support in the recognition of neonatal seizures could improve detection. We aimed to assess the diagnostic accuracy of an automated seizure detection algorithm called Algorithm for Neonatal Seizure Recognition (ANSeR).Methods: This multicentre, randomised, two-arm, parallel, controlled trial was done in eight neonatal centres across Ireland, the Netherlands, Sweden, and the UK. Neonates with a corrected gestational age between 36 and 44 weeks with, or at significant risk of, seizures requiring EEG monitoring, received cEEG plus ANSeR linked to the EEG monitor displaying a seizure probability trend in real time (algorithm group) or cEEG monitoring alone (non algorithm group). The primary outcome was diagnostic accuracy (sensitivity, specificity, and false detection rate) of health-care professionals to identify neonates with electrographic seizures and seizure hours with and without the support of the ANSeR algorithm. Neonates with data on the outcome of interest were included in the analysis. This study is registered with ClinicalTrials.gov, NCT02431780.Findings: Between Feb 13, 2015, and Feb 7, 2017, 132 neonates were randomly assigned to the algorithm group and 132 to the non-algorithm group. Six neonates were excluded (four from the algorithm group and two from the non-algorithm group). Electrographic seizures were present in 32 (25.0%) of 128 neonates in the algorithm group and 38 (29.2%) of 130 neonates in the non-algorithm group. For recognition of neonates with electrographic seizures, sensitivity was 81.3% (95% CI 66.7-93.3) in the algorithm group and 89.5% (78.4-97.5) in the non-algorithm group; specificity was 84.4% (95% CI 76.9-91.0) in the algorithm group and 89.1% (82.5-94.7) in the non-algorithm group; and the false detection rate was 36.6% (95% CI 22.7-52.1) in the algorithm group and 22.7% (11.6-35.9) in the non-algorithm group. We identified 659 h in which seizures occurred (seizure hours): 268 h in the algorithm versus 391 h in the non algorithm group. The percentage of seizure hours correctly identified was higher in the algorithm group than in the non-algorithm group (177 [66.0%; 95% CI 53.8-77.3] of 268 h vs 177 [45.3%; 34.5-58.3] of 391 h; difference 20.8% [3.6-37.1]). No significant differences were seen in the percentage of neonates with seizures given at least one inappropriate antiseizure medication (37.5% [95% CI 25.0 to 56.3] vs 31.6% [21.1 to 47.4]; difference 5.9% [-14.0 to 26.3]).Interpretation ANSeR, a machine-learning algorithm, is safe and able to accurately detect neonatal seizures. Although the algorithm did not enhance identification of individual neonates with seizures beyond conventional EEG, recognition of seizure hours was improved with use of ANSeR. The benefit might be greater in less experienced centres, but further study is required

A machine-learning algorithm for neonatal seizure recognition: a multicentre, randomised, controlled trial

BACKGROUND: Despite the availability of continuous conventional electroencephalography (cEEG), accurate diagnosis of neonatal seizures is challenging in clinical practice. Algorithms for decision support in the recognition of neonatal seizures could improve detection. We aimed to assess the diagnostic accuracy of an automated seizure detection algorithm called Algorithm for Neonatal Seizure Recognition (ANSeR). METHODS: This multicentre, randomised, two-arm, parallel, controlled trial was done in eight neonatal centres across Ireland, the Netherlands, Sweden, and the UK. Neonates with a corrected gestational age between 36 and 44 weeks with, or at significant risk of, seizures requiring EEG monitoring, received cEEG plus ANSeR linked to the EEG monitor displaying a seizure probability trend in real time (algorithm group) or cEEG monitoring alone (non-algorithm group). The primary outcome was diagnostic accuracy (sensitivity, specificity, and false detection rate) of health-care professionals to identify neonates with electrographic seizures and seizure hours with and without the support of the ANSeR algorithm. Neonates with data on the outcome of interest were included in the analysis. This study is registered with ClinicalTrials.gov, NCT02431780. FINDINGS: Between Feb 13, 2015, and Feb 7, 2017, 132 neonates were randomly assigned to the algorithm group and 132 to the non-algorithm group. Six neonates were excluded (four from the algorithm group and two from the non-algorithm group). Electrographic seizures were present in 32 (25·0%) of 128 neonates in the algorithm group and 38 (29·2%) of 130 neonates in the non-algorithm group. For recognition of neonates with electrographic seizures, sensitivity was 81·3% (95% CI 66·7-93·3) in the algorithm group and 89·5% (78·4-97·5) in the non-algorithm group; specificity was 84·4% (95% CI 76·9-91·0) in the algorithm group and 89·1% (82·5-94·7) in the non-algorithm group; and the false detection rate was 36·6% (95% CI 22·7-52·1) in the algorithm group and 22·7% (11·6-35·9) in the non-algorithm group. We identified 659 h in which seizures occurred (seizure hours): 268 h in the algorithm versus 391 h in the non-algorithm group. The percentage of seizure hours correctly identified was higher in the algorithm group than in the non-algorithm group (177 [66·0%; 95% CI 53·8-77·3] of 268 h vs 177 [45·3%; 34·5-58·3] of 391 h; difference 20·8% [3·6-37·1]). No significant differences were seen in the percentage of neonates with seizures given at least one inappropriate antiseizure medication (37·5% [95% CI 25·0 to 56·3] vs 31·6% [21·1 to 47·4]; difference 5·9% [-14·0 to 26·3]). INTERPRETATION: ANSeR, a machine-learning algorithm, is safe and able to accurately detect neonatal seizures. Although the algorithm did not enhance identification of individual neonates with seizures beyond conventional EEG, recognition of seizure hours was improved with use of ANSeR. The benefit might be greater in less experienced centres, but further study is required. FUNDING: Wellcome Trust, Science Foundation Ireland, and Nihon Kohden

Acidosis at birth in term infants and early neurophysiological and cardiovascular changes

THESIS 8039This thesis was mounted to evaluate and quantify the role of umbilical cord pH measurements in relation to the baby?s clinical condition, electroencephalographic pattern, heart rate variability and analysis of sucking activity as measured by manometry. The first limb of my research related to the application of 30 lead digital EEG recordings of term newborn infants with cord pH values?7.25. In the early (48 hours) post-natal period EEG changes were identified during quiet sleep (QS). The nature of these changes was in relation to the maximum amplitude, frequency, number of sharp waves and length of the interburst interval (IBI). These were all increased in the more severely acidotic babies (cord pH ?7.0), regardless of their clinical status. Using digital EEG technology I was able to identify the emergence of a spectrum between sub-clinical and clinical encephalopathy. My results also offer reassurance in the frequently encountered clinical scenario of a clinically well infant who is mildly to moderately acidotic (i.e. pH 7.01-7.25) as all these infants had normal EEG recordings

Early childhood neurodevelopment after intrauterine growth restriction: a systematic review

BACKGROUND AND OBJECTIVE:Children who experienced intrauterine growth restriction (IUGR) may be at increased risk for adverse developmental outcomes in early childhood. The objective of this study was to carry out a systematic review of neurodevelopmental outcomes from 6 months to 3 years after IUGR.METHODS:PubMed, Embase, PsycINFO, Maternity and Infant Care, and CINAHL databases were searched by using the search terms intrauterine, fetal, growth restriction, child development, neurodevelopment, early childhood, cognitive, motor, speech, language. Studies were eligible for inclusion if participants met specified criteria for growth restriction, follow-up was conducted within 6 months to 3 years, methods were adequately described, non-IUGR comparison groups were included, and full English text of the article was available. A specifically designed data extraction form was used. The methodological quality of included studies was assessed using well-documented quality-appraisal guidelines.RESULTS:Of 731 studies reviewed, 16 were included. Poorer neurodevelopmental outcomes after IUGR were described in 11. Ten found motor, 8 cognitive, and 7 language delays. Other delays included social development, attention, and adaptive behavior. Only 8 included abnormal Doppler parameters in their definitions of IUGR.CONCLUSIONS:Evidence suggests that children are at risk for poorer neurodevelopmental outcomes following IUGR from 6 months to 3 years of age. The heterogeneity of primary outcomes, assessment measures, adjustment for confounding variables, and definitions of IUGR limits synthesis and interpretation. Sample sizes in most studies were small, and some examined preterm IUGR children without including term IUGR or AGA comparison groups, limiting the value of extant studies.</jats:sec

An abnormal cerebroplacental ratio (CPR) is predictive of early childhood delayed neurodevelopment in the setting of fetal growth restriction

Background: Fetal growth restriction accounts for a significant proportion of perinatal morbidity and death. The cerebroplacental ratio is gaining much interest as a useful tool in differentiating the "at-risk" fetus in both fetal growth restriction and appropriate-for-gestational-age pregnancies. The Prospective Observational Trial to Optimize Pediatric Health in Fetal Growth Restriction group has demonstrated previously that the presence of this "brain-sparing" effect is associated significantly with adverse perinatal outcomes in the fetal growth restriction cohort. However, data about neurodevelopment in children from pregnancies that are complicated by fetal growth restriction are sparse and conflicting. Objective: The aim of the Prospective Observational Trial to Optimize Pediatric Health in Fetal Growth Restriction NeuroDevelopmental Assessment Study was to determine whether children born after fetal growth-restricted pregnancies are at additional risk of adverse early childhood developmental outcomes compared with children born small for gestational age. The objective of this secondary analysis was to describe the role of cerebroplacental ratio in the prediction of adverse early childhood neurodevelopmental outcome. Study design: Participants were recruited prospectively from the Perinatal Ireland multicenter observational Prospective Observational Trial to Optimize Pediatric Health in Fetal Growth Restriction study cohort. Fetal growth restriction was defined as birthweight Results: Assessments were performed on 198 small-for-gestational-age children, 136 fetal growth-restricted children with abnormal umbilical artery Doppler images and normal cerebroplacental ratio, and 41 fetal growth-restricted children with both abnormal umbilical artery Doppler and cerebroplacental ratio. At 3 years of age, although there were no differences in head circumference, children who also had an abnormal cerebroplacental ratio had persistently shorter stature (P=.005) and lower weight (P=.18). Children from fetal growth restriction-affected pregnancies demonstrated poorer neurodevelopmental outcome than their small-for-gestational-age counterparts. Fetal growth-restricted pregnancies with an abnormal cerebroplacental ratio had significantly poorer neurologic outcome at 3 years of age across all measured variables. Conclusion: We have demonstrated that growth-restricted pregnancies with a cerebroplacental ratio <1 have a significantly increased risk of delayed neurodevelopment at 3 years of age when compared with pregnancies with abnormal umbilical artery Doppler evidence alone. This study further substantiates the benefit of routine assessment of cerebroplacental ratio in fetal growth-restricted pregnancies and for counseling parents regarding the long-term outcome of affected infants.</p

Butrint 5: Life and Death at a Mediterranean Port: the non-ceramic finds from the Triconch Palace

This is the second volume arising from the 1994-2003 excavations of the Triconch Palace at Butrint (Albania), which charted the history of a major Mediterranean waterfront site from the 2nd to the 15th centuries AD. The sequence (published as Butrint 3: Excavations at the Triconch Palace (Oxbow 2011) included the development of a palatial late Roman house, followed by intensive activity between the 5th and 7th centuries involving domestic occupation, metal-working, fishing and burial. The site saw renewed activity from the 10th century, coinciding with the revival of the town of Butrint, and for the following 300 years continued in intermittent use associated with its channel-side location.This volume reports on the finds from the site (excluding the pottery), which demonstrate the ways in which the lives, diet and material culture of a Mediterranean population changed across the arc of the late Roman and Medieval periods. It includes discussion of the environmental evidence, the human and faunal remains, metal-working evidence, and the major assemblages of glass, coins and small finds, giving an insight into the health, subsistence base and material culture of the population of a Mediterranean site across more than 1000 years. The findings raise important questions regarding the ways in which changes in the circumstances of the town affected the population between Late Antiquity and the Middle Ages. They illustrate in particular how an urban Roman centre became more rural during the 6th century with a population that faced major challenges in their health and living conditions