Interrater and Intrarater Agreement in Neonatal Electroencephalogram Background Scoring. Issue 1 (January 2019)
- Record Type:
- Journal Article
- Title:
- Interrater and Intrarater Agreement in Neonatal Electroencephalogram Background Scoring. Issue 1 (January 2019)
- Main Title:
- Interrater and Intrarater Agreement in Neonatal Electroencephalogram Background Scoring
- Authors:
- Massey, Shavonne L.
Shou, Haochang
Clancy, Robert
DiGiovine, Marissa
Fitzgerald, Mark P.
Fung, France W.
Farrar, John
Abend, Nicholas S. - Abstract:
- Abstract : Purpose: Many neonates undergo electroencephalogram (EEG) monitoring to identify and manage acute symptomatic seizures. Information about brain function contained in the EEG background data may also help predict neurobehavioral outcomes. For EEG background features to be useful as prognostic indicators, the interpretation of these features must be standardized across electroencephalographers. We aimed at determining the interrater and intrarater agreement among electroencephalographers interpreting neonatal EEG background patterns. Methods: Five neonatal electroencephalographers reviewed 5-to-7.5-minute epochs of EEG from full-term neonates who underwent continuous conventional EEG monitoring. The EEG assessment tool used to classify background patterns was based on the American Clinical Neurophysiology Society's guideline for neonatal EEG terminology. Interrater and intrarater agreement were measured using Kappa coefficients. Results: Interrater agreement was consistently highest for voltage (binary: substantial, kappa = 0.783; categorical: moderate, kappa = 0.562), seizure presence (fair–substantial; kappa = 0.375–0.697), continuity (moderate; kappa = 0.481), burst voltage (moderate; kappa = 0.574), suppressed background presence (moderate–substantial; kappa = 0.493–0.643), delta activity presence (fair–moderate; kappa = 0.369–0.432), theta activity presence (fair–moderate; kappa = 0.347–0.600), presence of graphoelements (fair; kappa = 0.381), and overallAbstract : Purpose: Many neonates undergo electroencephalogram (EEG) monitoring to identify and manage acute symptomatic seizures. Information about brain function contained in the EEG background data may also help predict neurobehavioral outcomes. For EEG background features to be useful as prognostic indicators, the interpretation of these features must be standardized across electroencephalographers. We aimed at determining the interrater and intrarater agreement among electroencephalographers interpreting neonatal EEG background patterns. Methods: Five neonatal electroencephalographers reviewed 5-to-7.5-minute epochs of EEG from full-term neonates who underwent continuous conventional EEG monitoring. The EEG assessment tool used to classify background patterns was based on the American Clinical Neurophysiology Society's guideline for neonatal EEG terminology. Interrater and intrarater agreement were measured using Kappa coefficients. Results: Interrater agreement was consistently highest for voltage (binary: substantial, kappa = 0.783; categorical: moderate, kappa = 0.562), seizure presence (fair–substantial; kappa = 0.375–0.697), continuity (moderate; kappa = 0.481), burst voltage (moderate; kappa = 0.574), suppressed background presence (moderate–substantial; kappa = 0.493–0.643), delta activity presence (fair–moderate; kappa = 0.369–0.432), theta activity presence (fair–moderate; kappa = 0.347–0.600), presence of graphoelements (fair; kappa = 0.381), and overall impression (binary: moderate, kappa = 0.495; categorical: fair–moderate, kappa = 0.347, 0.465). Agreement was poor or inconsistent for all other patterns. Intrarater agreement was variable, with highest average agreement for voltage (binary: substantial, kappa = 0.75; categorical: substantial, kappa = 0.714) and highest consistent agreement for continuity (moderate–substantial; kappa = 0.43–0.67) and overall impression (moderate–substantial; kappa = 0.42–0.68). Conclusions: This study demonstrates substantial variability in neonatal EEG background interpretation across electroencephalographers, indicating a need for educational and technological strategies aimed at improving performance. Abstract : Supplemental Digital Content is Available in the Text. … (more)
- Is Part Of:
- Journal of clinical neurophysiology. Volume 36:Issue 1(2019)
- Journal:
- Journal of clinical neurophysiology
- Issue:
- Volume 36:Issue 1(2019)
- Issue Display:
- Volume 36, Issue 1 (2019)
- Year:
- 2019
- Volume:
- 36
- Issue:
- 1
- Issue Sort Value:
- 2019-0036-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2019-01
- Subjects:
- Neonatal -- Electroencephalogram -- Interrater agreement -- Intrarater agreement
Electroencephalography -- Periodicals
Neurophysiology -- Periodicals
Electroencephalography -- Periodicals
Electroencephalography
Periodicals
612.805 - Journal URLs:
- http://journals.lww.com/clinicalneurophys/pages/default.aspx ↗
http://www.clinicalneurophys.com ↗
http://gateway.ovid.com/ovidweb.cgi?T=JS&MODE=ovid&PAGE=toc&D=ovft&AN=00004691-000000000-00000 ↗
http://journals.lww.com ↗ - DOI:
- 10.1097/WNP.0000000000000534 ↗
- Languages:
- English
- ISSNs:
- 0736-0258
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 4958.578000
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