OBJECTIVES: Amplitude-integrated electroencephalogram (aEEG) at <6 hours is the best single outcome predictor in term infants with perinatal asphyxia at normothermia. Hypothermia has been used to treat those infants and proved to improve their outcome. The objectives of this study were to compare the predictive value of aEEG at <6 hours on outcomes in normothermia- and hypothermia-treated infants and to investigate the best outcome predictor (time to normal trace or sleep-wake cycling [SWC]) in normothermia- and hypothermia-treated infants. METHODS: Seventy-four infants were recruited by using the CoolCap entry criteria, and their outcomes were assessed by using the Bayley Scales of Infant Development II at 18 months. The aEEG was recorded for 72 hours. Patterns and voltages of aEEG backgrounds were assessed. RESULTS: The positive predictive value of an abnormal aEEG pattern at the age of 3 to 6 hours was 84% for normothermia and 59% for hypothermia. Moderate abnormal voltage background at 3 to 6 hours of age did not predict outcome. The recovery time to normal background pattern was the best predictor of poor outcome (96.2% in hypothermia, 90.9% in normothermia). Never developing SWC always predicted poor outcome. Time to SWC was a better outcome predictor for infants who were treated with hypothermia (88.5%) than with normothermia (63.6%). CONCLUSIONS: Early aEEG patterns can be used to predict outcome for infants treated with normothermia but not hypothermia. Infants with good outcome had normalized background pattern by 24 hours when treated with normothermia and by 48 hours when treated with hypothermia.
OBJECTIVES: Amplitude-integrated electroencephalogram (aEEG) at <6 hours is the best single outcome predictor in term infants with perinatal asphyxia at normothermia. Hypothermia has been used to treat those infants and proved to improve their outcome. The objectives of this study were to compare the predictive value of aEEG at <6 hours on outcomes in normothermia- and hypothermia-treated infants and to investigate the best outcome predictor (time to normal trace or sleep-wake cycling [SWC]) in normothermia- and hypothermia-treated infants. METHODS: Seventy-four infants were recruited by using the CoolCap entry criteria, and their outcomes were assessed by using the Bayley Scales of Infant Development II at 18 months. The aEEG was recorded for 72 hours. Patterns and voltages of aEEG backgrounds were assessed. RESULTS: The positive predictive value of an abnormal aEEG pattern at the age of 3 to 6 hours was 84% for normothermia and 59% for hypothermia. Moderate abnormal voltage background at 3 to 6 hours of age did not predict outcome. The recovery time to normal background pattern was the best predictor of poor outcome (96.2% in hypothermia, 90.9% in normothermia). Never developing SWC always predicted poor outcome. Time to SWC was a better outcome predictor for infants who were treated with hypothermia (88.5%) than with normothermia (63.6%). CONCLUSIONS: Early aEEG patterns can be used to predict outcome for infants treated with normothermia but not hypothermia. Infants with good outcome had normalized background pattern by 24 hours when treated with normothermia and by 48 hours when treated with hypothermia.
Authors: A N Massaro; K Murthy; I Zaniletti; N Cook; R DiGeronimo; M Dizon; S E G Hamrick; V J McKay; G Natarajan; R Rao; D Smith; R Telesco; R Wadhawan; J M Asselin; D J Durand; J R Evans; F Dykes; K M Reber; M A Padula; E K Pallotto; B L Short; A M Mathur Journal: J Perinatol Date: 2014-11-13 Impact factor: 2.521
Authors: An N Massaro; Taeun Chang; Nadja Kadom; Tammy Tsuchida; Joseph Scafidi; Penny Glass; Robert McCarter; Stephen Baumgart; Gilbert Vezina; Karin B Nelson Journal: J Pediatr Date: 2012-04-10 Impact factor: 4.406
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Authors: Ericka L Fink; A Panigrahy; R S B Clark; C R Fitz; D Landsittel; P M Kochanek; G Zuccoli Journal: Neurocrit Care Date: 2013-08 Impact factor: 3.210
Authors: An N Massaro; Taeun Chang; Stephen Baumgart; Robert McCarter; Karin B Nelson; Penny Glass Journal: Pediatr Crit Care Med Date: 2014-09 Impact factor: 3.624