Literature DB >> 25385396

Hypsarrhythmia assessment exhibits poor interrater reliability: a threat to clinical trial validity.

Shaun A Hussain1, Grace Kwong, John J Millichap, John R Mytinger, Nicole Ryan, Joyce H Matsumoto, Joyce Y Wu, Jason T Lerner, Raman Sankar.   

Abstract

OBJECTIVE: Hypsarrhythmia is the classic interictal electroencephalographic pattern associated with infantile spasms, and characterized by high voltage, disorganization, and multifocal independent epileptiform discharges. Given this seemingly simple definition, one might expect excellent interrater reliability (IRR) in the identification of this pattern. Alternatively, it may be argued that assessments of voltage and disorganization are fairly subjective, and thus quite challenging in borderline cases. We sought to test the IRR of hypsarrhythmia assessment in a systematic fashion.
METHODS: Six blinded pediatric electroencephalographers from four centers reviewed 22 electroencephalography (EEG) samples from patients with infantile spasms. Each sample was 5 min in duration and included only wakefulness. Raters determined if each EEG was abnormal and if hypsarrhythmia was present/absent, and characterized relevant features: voltage, organization, epileptiform discharges, slowing, interictal attenuations, symmetry, and synchrony. In addition, raters indicated their level of confidence for each assessment. Multirater kappa statistics (κ) were calculated for the assessment of hypsarrhythmia and each feature.
RESULTS: Although IRR was favorable in determining whether a study was normal or abnormal (κ=0.89), reliability was unfavorable for assessment of hypsarrhythmia (κ=0.40), modified hypsarrhythmia (κ=0.47), high voltage (κ=0.37), disorganization (κ=0.22), multifocal epileptiform discharges (κ=0.68), interictal voltage attenuations (κ=0.21), slowing (κ=0.20), asymmetry (κ=0.26), and asynchrony (κ=0.08). Despite generally unsatisfactory interrater agreement, raters consistently reported high confidence in assessments. SIGNIFICANCE: This study contradicts the view that hypsarrhythmia assessment is straightforward. Even small variability in the identification of hypsarrhythmia has potentially deleterious consequences for clinical care, as its presence or absence impacts decisions to pursue high-risk and high-cost therapies. These inconsistencies may similarly confound studies in which abolition of hypsarrhythmia is an outcome measure. There is a great need for practical, reliable, and unbiased measures of hypsarrhythmia. Wiley Periodicals, Inc.
© 2014 International League Against Epilepsy.

Entities:  

Keywords:  Electroencephalography; Hypsarrhythmia; Infantile spasms; Interrater reliability; West syndrome

Mesh:

Year:  2014        PMID: 25385396     DOI: 10.1111/epi.12861

Source DB:  PubMed          Journal:  Epilepsia        ISSN: 0013-9580            Impact factor:   5.864


  20 in total

1.  Developing a novel epileptic discharge localization algorithm for electroencephalogram infantile spasms during hypsarrhythmia.

Authors:  Supachan Traitruengsakul; Laurie E Seltzer; Alex R Paciorkowski; Behnaz Ghoraani
Journal:  Med Biol Eng Comput       Date:  2017-02-09       Impact factor: 2.602

Review 2.  Emerging roles of network analysis for epilepsy.

Authors:  William Stacey; Mark Kramer; Kristin Gunnarsdottir; Jorge Gonzalez-Martinez; Kareem Zaghloul; Sara Inati; Sridevi Sarma; Jennifer Stiso; Ankit N Khambhati; Danielle S Bassett; Rachel J Smith; Virginia B Liu; Beth A Lopour; Richard Staba
Journal:  Epilepsy Res       Date:  2019-12-09       Impact factor: 3.045

Review 3.  Infantile Spasms-Have We Made Progress?

Authors:  Sarah Aminoff Kelley; Kelly G Knupp
Journal:  Curr Neurol Neurosci Rep       Date:  2018-04-19       Impact factor: 5.081

4.  Vigabatrin therapy implicates neocortical high frequency oscillations in an animal model of infantile spasms.

Authors:  James D Frost; John T Le; Chong L Lee; Carlos Ballester-Rosado; Richard A Hrachovy; John W Swann
Journal:  Neurobiol Dis       Date:  2015-05-27       Impact factor: 5.996

5.  Strength and stability of EEG functional connectivity predict treatment response in infants with epileptic spasms.

Authors:  Daniel W Shrey; Olivia Kim McManus; Rajsekar Rajaraman; Hernando Ombao; Shaun A Hussain; Beth A Lopour
Journal:  Clin Neurophysiol       Date:  2018-08-04       Impact factor: 3.708

6.  Intraoperative fast ripples independently predict postsurgical epilepsy outcome: Comparison with other electrocorticographic phenomena.

Authors:  Shaun A Hussain; Gary W Mathern; Phoebe Hung; Julius Weng; Raman Sankar; Joyce Y Wu
Journal:  Epilepsy Res       Date:  2017-06-16       Impact factor: 3.045

7.  Integration of multiscale entropy and BASED scale of electroencephalography after adrenocorticotropic hormone therapy predict relapse of infantile spasms.

Authors:  Lin Wan; Chu-Ting Zhang; Gang Zhu; Jian Chen; Xiu-Yu Shi; Jing Wang; Li-Ping Zou; Bo Zhang; Wen-Bin Shi; Chien-Hung Yeh; Guang Yang
Journal:  World J Pediatr       Date:  2022-07-29       Impact factor: 9.186

8.  Long-Range Temporal Correlations Reflect Treatment Response in the Electroencephalogram of Patients with Infantile Spasms.

Authors:  Rachel J Smith; Amanda Sugijoto; Neggy Rismanchi; Shaun A Hussain; Daniel W Shrey; Beth A Lopour
Journal:  Brain Topogr       Date:  2017-09-13       Impact factor: 3.020

9.  Scalp EEG interictal high frequency oscillations as an objective biomarker of infantile spasms.

Authors:  Hiroki Nariai; Shaun A Hussain; Danilo Bernardo; Hirotaka Motoi; Masaki Sonoda; Naoto Kuroda; Eishi Asano; Jimmy C Nguyen; David Elashoff; Raman Sankar; Anatol Bragin; Richard J Staba; Joyce Y Wu
Journal:  Clin Neurophysiol       Date:  2020-09-03       Impact factor: 3.708

10.  The impact of hypsarrhythmia on infantile spasms treatment response: Observational cohort study from the National Infantile Spasms Consortium.

Authors:  Scott T Demarest; Renée A Shellhaas; William D Gaillard; Cynthia Keator; Katherine C Nickels; Shaun A Hussain; Tobias Loddenkemper; Anup D Patel; Russell P Saneto; Elaine Wirrell; Iván Sánchez Fernández; Catherine J Chu; Zachary Grinspan; Courtney J Wusthoff; Sucheta Joshi; Ismail S Mohamed; Carl E Stafstrom; Cynthia V Stack; Elissa Yozawitz; Judith S Bluvstein; Rani K Singh; Kelly G Knupp
Journal:  Epilepsia       Date:  2017-11-03       Impact factor: 5.864

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