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Record W4411707152 · doi:10.1111/epi.18520

What defines response to vagus nerve stimulation in children with drug‐resistant epilepsy? A prospective cohort study from the <scp>CONNECTiVOS</scp> collaboration

2025· article· en· W4411707152 on OpenAlexafffund
Farbod Niazi, Karim Mithani, Hrishikesh Suresh, Simeon M. Wong, Ivanna Yau, Lyndsey McRae, Thiemo Florin Dinger, James T. Rutka, Hiroshi Otsubo, Shelly K. Weiss, Lauren Sham, Elizabeth Donner, Vann Chau, Aristides Hadjinicolaou, Philippe Major, Alexander G. Weil, Jignesh Tailor, Taylor J. Abel, Madison Remick, Emefa Akwayena, Dewi Schrader, Robert J. Bollo, Matthew D. Smyth, Diane J. Aum, Sean M. Lew, Shelly Wang, Toba N. Niazi, Jeffrey S. Raskin, Elysa Widjaja, Howard L. Weiner, Nisha Gadgil, Melissa A. LoPresti, Gregory W. Albert, Aria Fallah, Elizabeth N. Kerr, Mary Lou Smith, Puneet Jain, George M. Ibrahim

Bibliographic record

VenueEpilepsia · 2025
Typearticle
Languageen
FieldNeuroscience
TopicVagus Nerve Stimulation Research
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineBC Children's HospitalUniversity of TorontoUniversité de MontréalHospital for Sick ChildrenMental Health Research Canada
FundersCanadian Institutes of Health ResearchLivaNova
KeywordsVagus nerve stimulationEpilepsyDrug Resistant EpilepsyMedicineConfidence intervalProspective cohort studyQuality of life (healthcare)Vagus nerveCohortPediatricsAnesthesiaStimulationInternal medicinePsychiatry

Abstract

fetched live from OpenAlex

OBJECTIVES: Responsiveness to vagus nerve stimulation (VNS) in children with drug-resistant epilepsy (DRE) is often defined based on reduction in seizure frequency, typically at the 50% threshold, with limited consideration to the effects of therapy on seizure severity and health-related quality of life (HRQoL). In the current report, we sought to better characterize the effects of VNS beyond seizure frequency in children with DRE. METHODS: Sixty-seven children from the Connectomic profiling and Vagus nerve stimulation Outcomes Study (CONNECTiVOS) database, a multicenter study including children aged 0-18 who underwent VNS at eight North American centers, were included. Data were collected prospectively at baseline and 6, 12, and 24 months after VNS. Seizure outcomes were assessed using the 50% threshold, percentage change in seizure count and change on a frequency timescale, a categorical measure of seizure occurrence (e.g., daily to weekly seizures). The Seizure Severity Questionnaire and the Quality of Life in Childhood Epilepsy were also collected. Linear mixed models were constructed to study longitudinal changes in seizure severity and HRQoL. RESULTS: Among 67 children, 55.2% experienced >50% reduction in seizures, whereas only 37.3% demonstrated reductions in seizure timescales. Notably, 17.9% experienced no reduction in timescales despite meeting the 50% threshold. Furthermore, 31.9% of children experienced a meaningful improvement in seizure severity without any reduction in seizure timescales. HRQoL improvements were driven by the reduction in timescales (mean yearly increase of 3.65; 95% confidence interval [CI]: 0.71-6.52, p = 0.023), rather than responsiveness based on the 50% threshold or percentage change in seizure counts (p > 0.05). Reduced overall seizure severity was also independently associated with higher HRQoL after VNS (p = 0.035). SIGNIFICANCE: The conventional 50% responder threshold failed to capture meaningful gains in HRQoL, which aligned more closely with seizure timescales. Furthermore, nearly one-third of children realized improvements in seizure severity without any reduction in timescales. Improvements in both seizure frequency timescales and seizure severity drive postoperative HRQoL gains.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.007
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.007
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.004
Science and technology studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.014
GPT teacher head0.300
Teacher spread0.286 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations3
Published2025
Admission routes2
Has abstractyes

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