Brain wave maturation and neurodevelopmental outcome in extremely low gestational age neonates

Welch, Cherrie D.; Helderman, Jennifer; Williamson, E.; OʼShea, T. Michael

doi:10.1038/jp.2013.79

Cited by 11 publications

(9 citation statements)

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“…To establish easy algorithms for aEEG interpretation, several authors have reported maturational changes of electrocortical activity according to both postnatal and gestational age. Recent studies have pointed out a correlation of early aEEG parameters with short- and long-term neurological outcome [3, 14, 18, 25, 27, 29]. In this study, we refer to and compare the classifications by Hellström-Westas et al [11] and the aEEG maturation score introduced by Burdjalov et al in a single center cohort of prematurely born infants ≤32 weeks gestation [6].…”

Section: Discussionmentioning

confidence: 99%

“…Burdjalov total scores from aEEGs obtained within the first 6 weeks of life in infants ≤30 gestational weeks were associated with perinatal factors that are known to predict adverse neurodevelopmental outcome [18]. On the other hand, the rate of brain wave maturation between 28 and 36 weeks gestational age in preterm infants <28 weeks does not predict neurological development at 18 to 22 months corrected age [27]. …”

Section: Discussionmentioning

confidence: 99%

“…It is generally well accepted by the NICU staff and has been proven to be a safe method for cerebral function monitoring even in extremely preterm infants [7]. Recent studies have shown a correlation between aEEG recordings obtained during the first weeks of life and short- and long-term neurodevelopmental outcome of preterm infants [3, 14, 18, 25, 27, 29]. In order to become a practical tool for clinical routine use, it is necessary to find easy-to-use schemes for assessment of aEEG tracings in preterm infants.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2016

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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.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

et al. 2016

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“…Other studies have shown that the amplitude integrated EEG (aEEG) can predict long-term outcome, with specificity ranging from 73 to 89% and sensitivity ranging from 56 to 87% (15)(16)(17). To date, however, no standardized method for the accurate prediction of long-term outcome in very preterm infants has been successfully translated into clinical practice.…”

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confidence: 99%

Predicting 2-y outcome in preterm infants using early multimodal physiological monitoring

et al. 2016

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Background: Preterm infants are at risk of adverse outcome. The aim of this study is to develop a multimodal model, including physiological signals from the first days of life, to predict 2-y outcome in preterm infants. Methods: Infants <32 wk gestation had simultaneous multichannel electroencephalography (EEG), peripheral oxygen saturation (SpO 2 ), and heart rate (HR) monitoring. EEG grades were combined with gestational age (GA) and quantitative features of HR and SpO 2 in a logistic regression model to predict outcome. Bayley Scales of Infant Development-III assessed 2-y neurodevelopmental outcome. A clinical course score, grading infants at discharge as high or low morbidity risk, was used to compare performance with the model. results: Forty-three infants were included: 27 had good outcomes, 16 had poor outcomes or died. While performance of the model was similar to the clinical course score graded at discharge, with an area under the receiver operator characteristic (AUC) of 0.83 (95% confidence intervals (CI): 0.69-0.95) vs. 0.79 (0.66-0.90) (P = 0.633), the model was able to predict 2-y outcome days after birth. conclusion: Quantitative analysis of physiological signals, combined with GA and graded EEG, shows potential for predicting mortality or delayed neurodevelopment at 2 y of age.

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“…[48] сообщают, что данные, полученные при регистрации электрической активности головного мозга, коррелируют с результатами рутинной ЭЭГ. В свою очередь, ряд исследователей [49,50] подтверждают диагностическую и прогностическую ценность этого метода как для доношенных, так и для недоношенных детей. K. Klebermass и коллеги указывают, что специфичность а-ЭЭГ, проведенной в течение первых двух недель жизни у ребенка, в отношении которого не применяется медикаментозная седация, обезболивающая и противосудорожная терапия, составляет 98%.…”

Section: нейрофизиологические методы в исследовании недоношенных детеunclassified

Neuropsychiatric status of infants with intrauterine growth retardation

Веропотвелян¹,

Цехмистренко

Veropotvelian³

2016

Reproductive Endocrinology

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также методы нейровизуализации и нейрофизиологии. Клиническое расширенное обследование дает возможность своевременно начать мероприятия по коррекции выявленных нарушений, снижения рисков неблагоприятных исходов и ранней предикции дальнейшего развития. В то же время в литературе мало освещаются исследования, посвященные особенностям неврологического развития детей, родившихся со ЗВУР, и интерпретации результатов исследования функции центральной нервной системы. ШКАЛЫ ОЦЕНКИ ПСИХОНЕВРОЛОГИЧЕСКОГО СТАТУСА НОВОРОЖДЕННЫХ В НЕОНАТАЛЬНОМ ПЕРИОДЕ И НЕЙРОСОНОГРАФИЯ J. Ballard в 1991 г. обновила свою более раннюю разработку, предложив простую и удобную для практического врача шкалу, которая является субъективным методом первичной оценки неврологического статуса ребенка (рис.) [21, 22]. Применение данной шкалы позволяет оценить степень зрелости новорожденного. Оценка по шкале Баллард остается точной в течение 2 недель после рождения, но наи-Таблица 1. Основные параметры физического развития детей при рождении с учетом гестационного возраста [51] Гестационный возраст, недель Масса тела, г Рост, см Окружность Масса тела / рост Головы, см Груди, см 28 1124 ± 183

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Brain wave maturation and neurodevelopmental outcome in extremely low gestational age neonates

Abstract: Among extremely preterm infants, the rate of maturational changes in brain wave characteristics between 28 and 36 weeks' postmenstrual age is not predictive of developmental abilities at 18 to 22 months adjusted age.

Cited by 11 publications

References 23 publications

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

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

Predicting 2-y outcome in preterm infants using early multimodal physiological monitoring

Neuropsychiatric status of infants with intrauterine growth retardation

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