Navigation überspringen
Universitätsbibliothek Heidelberg
Status: Bibliographieeintrag

Verfügbarkeit
Standort: ---
Exemplare: ---
heiBIB
 Online-Ressource
Verfasst von:Bruns, Nora [VerfasserIn]   i
 Weiß, Christel [VerfasserIn]   i
 Müller, Hanna [VerfasserIn]   i
Titel:Comparison of two common aEEG classifications for the prediction of neurodevelopmental outcome in preterm infants
Verf.angabe:Nora Bruns, Frauke Dransfeld, Britta Hüning, Julia Hobrecht, Tobias Storbeck, Christel Weiss, Ursula Felderhoff-Müser, Hanna Müller
Jahr:2017
Jahr des Originals:2016
Umfang:9 S.
Fussnoten:Published online: 6 December 2016 ; Gesehen am 06.09.2018
Titel Quelle:Enthalten in: European journal of pediatrics
Ort Quelle:Berlin : Springer Science & Business Media B.V., 1975
Jahr Quelle:2017
Band/Heft Quelle:176(2017), 2, Seite 163-171
ISSN Quelle:1432-1076
Abstract: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.
DOI:doi:10.1007/s00431-016-2816-5
URL:Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.

Volltext: http://dx.doi.org/10.1007/s00431-016-2816-5
 Volltext: https://doi.org/10.1007/s00431-016-2816-5
 DOI: https://doi.org/10.1007/s00431-016-2816-5
Datenträger:Online-Ressource
Sprache:eng
Sach-SW:aEEG
 Amplitude-integrated EEG
 Mortality
 Neurodevelopmental outcome
 Preterm infant
K10plus-PPN:1580723314
Verknüpfungen:→ Zeitschrift

Permanenter Link auf diesen Titel (bookmarkfähig):  https://katalog.ub.uni-heidelberg.de/titel/68302794   QR-Code
zum Seitenanfang