10.6084/m9.figshare.5203723.v1
Goeral K.
Goeral
K.
Urlesberger B.
Urlesberger
B.
Giordano V.
Giordano
V.
Kasprian G.
Kasprian
G.
Wagner M.
Wagner
M.
Schmidt L.
Schmidt
L.
Berger A.
Berger
A.
Klebermass-Schrehof K.
Klebermass-Schrehof
K.
Olischar M.
Olischar
M.
Supplementary Material for: Prediction of Outcome in Neonates with Hypoxic-Ischemic Encephalopathy II: Role of Amplitude-Integrated Electroencephalography and Cerebral Oxygen Saturation Measured by Near-Infrared Spectroscopy
Karger Publishers
2017
Amplitude-integrated electroencephalography
Hypoxic-ischemic encephalopathy
Magnetic resonance imaging
Near-infrared spectroscopy
Neonate
Outcome
Prediction
2017-07-13 14:18:11
Dataset
https://karger.figshare.com/articles/dataset/Supplementary_Material_for_Prediction_of_Outcome_in_Neonates_with_Hypoxic-Ischemic_Encephalopathy_II_Role_of_Amplitude-Integrated_Electroencephalography_and_Cerebral_Oxygen_Saturation_Measured_by_Near-Infrared_Spectroscopy/5203723
<p><b><i>Background:</i></b> Few data have been published on the
combined use of amplitude-integrated electroencephalography (aEEG) and
near-infrared spectroscopy (NIRS) for outcome prediction in neonates
cooled for hypoxic-ischemic encephalopathy (HIE). <b><i>Objective:</i></b> Our aim<b> </b>was
to evaluate the predictive values and the most powerful predictive
combinations of single aEEG and NIRS parameters and the respective
cut-off values with regard to short-term outcomes in HIE II. <b><i>Methods:</i></b>
aEEG and NIRS were prospectively studied at the Medical University of
Vienna in the first 102 h of life with regard to magnetic resonance
imaging (MRI). Thirty-two neonates diagnosed with HIE II treated with
hypothermia were investigated. The measurement period was divided into
6-h epochs. According to MRI, 2 outcome groups were defined and
predictive values of aEEG parameters, regional cerebral oxygen
saturation (rScO<sub>2</sub>), and the additional value of both methods
combined were studied. Receiver operating curves (ROC) were obtained and
area under the curve (AUC) values were calculated. ROC were then used
to detect the optimal cut-off points, sensitivity, specificity, positive
predictive values, and negative predictive values. <b><i>Results:</i></b>
At all time epochs, combined parameter scores were more predictive than
single parameter scores. The highest AUC were observed between 18 and
60 h of cooling for the aEEG summation score (0.72-0.84) and for
(background pattern + seizures) × rScO<sub>2</sub> (0.79-0.85). At 42-60
h sensitivity was similar between those 2 scores (87.5-90.0%), but the
addition of NIRS to aEEG led to an increase in specificity (from
52.4-59.1% to 72.7-90.5%). <b><i>Conclusions:</i></b> In HIE II, aEEG
and NIRS are important predictors of short-term outcome. The combination
of both methods improves prognostication. The highest predictive
abilities were observed between 18 and 60 h of cooling.</p>