Diagnostic Accuracy of the Persyst Automated Seizure Detector in the Neonatal Population.


Journal

Journal of integrative neuroscience
ISSN: 0219-6352
Titre abrégé: J Integr Neurosci
Pays: Singapore
ID NLM: 101156357

Informations de publication

Date de publication:
19 Aug 2024
Historique:
received: 30 03 2024
revised: 07 06 2024
accepted: 13 06 2024
medline: 1 9 2024
pubmed: 31 8 2024
entrez: 29 8 2024
Statut: ppublish

Résumé

Neonatal seizures are diagnostically challenging and predominantly electrographic-only. Multichannel video continuous electroencephalography (cEEG) is the gold standard investigation, however, out-of-hours access to neurophysiology support can be limited. Automated seizure detection algorithms (SDAs) are designed to detect changes in EEG data, translated into user-friendly seizure probability trends. The aim of this study was to evaluate the diagnostic accuracy of the Persyst neonatal SDA in an intensive care setting. Single-centre retrospective service evaluation study in neonates undergoing cEEG during intensive care admission to Great Ormond Street Hospital (GOSH) between May 2019 and December 2022. Neonates with <44 weeks corrected gestational age, who had a cEEG recording duration >60 minutes, whilst inpatient in intensive care, were included in the study. One-hour cEEG clips were created for all cases (seizures detected) and controls (seizure-free) and analysed by the Persyst neonatal SDA. Expert neurophysiology reports of the cEEG recordings were used as the gold standard for diagnostic comparison. A receiver operating characteristic (ROC) curve was created using the highest seizure probability in each recording. Optimal seizure probability thresholds for sensitivity and specificity were identified. Eligibility screening produced 49 cases, and 49 seizure-free controls. Seizure prevalence within those patients eligible for the study, was approximately 19% with 35% mortality. The most common case seizure aetiology was hypoxic ischaemic injury (35%) followed by inborn errors of metabolism (18%). The ROC area under the curve was 0.94 with optimal probability thresholds 0.4 and 0.6. Applying a threshold of 0.6, produced 80% sensitivity and 98% specificity. The Persyst neonatal SDA demonstrates high diagnostic accuracy in identifying neonatal seizures; comparable to the accuracy of the standard Persyst SDA in adult populations, other neonatal SDAs, and amplitude integrated EEG (aEEG). Overdiagnosis of seizures is a risk, particularly from cEEG recording artefact. To fully examine its clinical utility, further investigation of the Persyst neonatal SDA's accuracy is required, as well as confirming the optimal seizure probability thresholds in a larger patient cohort.

Sections du résumé

BACKGROUND BACKGROUND
Neonatal seizures are diagnostically challenging and predominantly electrographic-only. Multichannel video continuous electroencephalography (cEEG) is the gold standard investigation, however, out-of-hours access to neurophysiology support can be limited. Automated seizure detection algorithms (SDAs) are designed to detect changes in EEG data, translated into user-friendly seizure probability trends. The aim of this study was to evaluate the diagnostic accuracy of the Persyst neonatal SDA in an intensive care setting.
METHODS METHODS
Single-centre retrospective service evaluation study in neonates undergoing cEEG during intensive care admission to Great Ormond Street Hospital (GOSH) between May 2019 and December 2022. Neonates with <44 weeks corrected gestational age, who had a cEEG recording duration >60 minutes, whilst inpatient in intensive care, were included in the study. One-hour cEEG clips were created for all cases (seizures detected) and controls (seizure-free) and analysed by the Persyst neonatal SDA. Expert neurophysiology reports of the cEEG recordings were used as the gold standard for diagnostic comparison. A receiver operating characteristic (ROC) curve was created using the highest seizure probability in each recording. Optimal seizure probability thresholds for sensitivity and specificity were identified.
RESULTS RESULTS
Eligibility screening produced 49 cases, and 49 seizure-free controls. Seizure prevalence within those patients eligible for the study, was approximately 19% with 35% mortality. The most common case seizure aetiology was hypoxic ischaemic injury (35%) followed by inborn errors of metabolism (18%). The ROC area under the curve was 0.94 with optimal probability thresholds 0.4 and 0.6. Applying a threshold of 0.6, produced 80% sensitivity and 98% specificity.
CONCLUSIONS CONCLUSIONS
The Persyst neonatal SDA demonstrates high diagnostic accuracy in identifying neonatal seizures; comparable to the accuracy of the standard Persyst SDA in adult populations, other neonatal SDAs, and amplitude integrated EEG (aEEG). Overdiagnosis of seizures is a risk, particularly from cEEG recording artefact. To fully examine its clinical utility, further investigation of the Persyst neonatal SDA's accuracy is required, as well as confirming the optimal seizure probability thresholds in a larger patient cohort.

Identifiants

pubmed: 39207081
pii: S0219-6352(24)00789-7
doi: 10.31083/j.jin2308150
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

150

Informations de copyright

© 2024 The Author(s). Published by IMR Press.

Déclaration de conflit d'intérêts

The authors ED, DM, KH, SB, and MC declare no conflict of interest. RP is serving as co-chair of the ILAE Pediatrics Commission task force ‘Guideline on Neonatal Seizures’. RP reports personal fees and non-financial support from NATUS, personal fees from UCB, during the conduct of the study; personal fees from GW; from null, outside the submitted work.

Auteurs

Eleanor Duckworth (E)

Department of Clinical Neurophysiology, Great Ormond Street Hospital for Children, WC1N 3JH London, UK.
Neonatal Intensive Care Unit, Great Ormond Street Hospital for Children, WC1N 3JH London, UK.

Daniyal Motan (D)

Department of Clinical Neurophysiology, Great Ormond Street Hospital for Children, WC1N 3JH London, UK.

Kitty Howse (K)

Department of Clinical Neurophysiology, Great Ormond Street Hospital for Children, WC1N 3JH London, UK.

Stewart Boyd (S)

Department of Clinical Neurophysiology, Great Ormond Street Hospital for Children, WC1N 3JH London, UK.

Ronit Pressler (R)

Department of Clinical Neurophysiology, Great Ormond Street Hospital for Children, WC1N 3JH London, UK.
Clinical Neuroscience, University College London, UCL, Great Ormond Street Institute of Child Health, WC1N 1EH London, UK.

Maria Chalia (M)

Department of Clinical Neurophysiology, Great Ormond Street Hospital for Children, WC1N 3JH London, UK.
Neonatal Intensive Care Unit, Great Ormond Street Hospital for Children, WC1N 3JH London, UK.

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