2018
DOI: 10.1186/s13052-018-0573-y
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Symptomatic seizures in preterm newborns: a review on clinical features and prognosis

Abstract: Neonatal seizures are the most common neurological event in newborns, showing higher prevalence in preterm than in full-term infants. In the majority of cases they represent acute symptomatic phenomena, the main etiologies being intraventricular haemorrhage, hypoxic-ischemic encephalopathy, central nervous system infections and transient metabolic derangements.Current definition of neonatal seizures requires detection of paroxysmal EEG-changes, and in preterm newborns the incidence of electrographic-only seizu… Show more

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Cited by 38 publications
(46 citation statements)
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“…Other common causes of ELS include infections of the central nervous system, maternal drug abuse and rare epilepsy syndromes (Volpe, 2001). Also, the prevalence rate of seizures in preterm infants is much higher than full-term infants and these seizures tend to be less responsive to conventional AEDs (Spagnoli et al, 2018).…”
Section: The Immature Brain and Elsmentioning
confidence: 99%
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“…Other common causes of ELS include infections of the central nervous system, maternal drug abuse and rare epilepsy syndromes (Volpe, 2001). Also, the prevalence rate of seizures in preterm infants is much higher than full-term infants and these seizures tend to be less responsive to conventional AEDs (Spagnoli et al, 2018).…”
Section: The Immature Brain and Elsmentioning
confidence: 99%
“…Recent studies have shown that the duration and the number of seizures is highly correlated with adverse prognosis, suggesting that fast and accurate diagnosis is crucial for effective ELS treatments (Kasahara et al, 2018). The most common clinical diagnostic tool for ELS is the use of non-invasive electroencephalogram (EEG) technology to detect distinct electrographic features of ELS (Spagnoli et al, 2018;Fisher et al, 2018). EEG has been used for decades as a tool to detect and diagnose seizures and still remains as one of our best tools for detecting abnormal neuronal activity and predicting outcomes (Rowe 1985;Spagnoli et al, 2018).…”
Section: Diagnosismentioning
confidence: 99%
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