Publications (2)4.64 Total impact
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Article: Influence of respiratory acidosis and blood glucose on cerebral activity of premature infants.
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ABSTRACT: Fluctuations of physiologic parameters in extremely preterm infants may significantly affect their cerebral activity. This study assessed the correlation between blood gas indices and other clinical parameters with cerebral activity, as recorded by amplitude integrated electroencephalography in the first three days of life of a prospective cohort study of infants born at <28 weeks gestation. Amplitude integrated electroencephalography was assessed according to a nine-grade pattern scale. For univariate analysis, the Spearman rank coefficient, Student t test, and χ(2) test were used. For multivariate analysis, generalized estimating equations were used. Overall, 255 blood samples from 24 recruited infants were analyzed. The pattern scale demonstrated a significant positive correlation with pH (ρ = 0.45, P < 0.0001) and base excess (ρ = 0.37, P < 0.0001), and a significant negative correlation with partial pressure of carbon dioxide (pCO(2)) (ρ = -0.35, P < 0.0001) and blood dextrose (ρ = -0.36, P < 0.0001). When amplitude integrated electroencephalography was used as dependent variable, the best generalized estimating equation models yielded significant correlations for pH, pCO(2), and HCO(3)(-). When pH was used as dependent variable, the best models yielded significant correlations for amplitude integrated electroencephalography pattern scale and blood dextrose. We suggest that depression in cerebral function early in life should prompt clinicians to assess acid/base status and respiratory parameters of the extremely premature infant as well as other known causes of cerebral depression.Pediatric Neurology 07/2012; 47(1):19-24. · 1.52 Impact Factor -
Article: Neonatal seizure recognition--comparative study of continuous-amplitude integrated EEG versus short conventional EEG recordings.
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ABSTRACT: This study aims to detect seizures by amplitude-integrated electroencephalography (EEG) (aEEG) as compared with conventional EEG (cEEG) by clinicians with different levels of expertise. Simultaneous 10 min aEEG/cEEG recordings were time-locked and assessed for seizure activity. aEEG was assessed by a neonatologist, a fellow and a medical student and cEEG by two child neurologists and a neonatologist. A total of 265 paired epochs from 38 simultaneous recording were assessed. Forty-one seizure episodes were diagnosed in 31 epochs in the cEEG recordings of 10 infants. Sensitivity and specificity ranged from 68% to 84% and from 71% to 84%, respectively, per detection of epochs with seizures and from 71% to 84% and from 36% to 96% per detection of individual seizures. No agreement was found between the observations of the student, and those of the fellow or neonatologist. Substantial agreement was found between the fellow and neonatologist. Before cEEG was commenced, seizures were detected by aEEG in 22 infants. aEEG has high sensitivity and specificity in the hands of experienced users. Inexperienced new users may have a high rate of misdiagnosed seizures. Early recording of high-risk infants can help in the early diagnosis and treatment of seizures. Diagnosis and treatment of seizures in aEEG should be carried out by experienced users and should be supplemented with cEEG when available.Clinical neurophysiology: official journal of the International Federation of Clinical Neurophysiology 01/2011; 122(6):1091-7. · 3.12 Impact Factor
