Unseen Yet Overcounted: The Paradox of Seizure Frequency Reporting DOI Creative Commons

Victoria Wong,

Timothy Hannon, Kiran M. Fernandes

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 11, 2024

Abstract Objective Seizure control is often assessed using patient-reported seizure frequencies. Despite its subjectivity, self-reporting remains essential for guiding anti-seizure medication (ASM) decisions and ongoing patient investigations. Additionally, clinical trials frequently rely on self-reported rates participant selection outcome measures. This study aims to compare frequencies with electrographic captured via ambulatory video EEG (avEEG). Methods Data from intake forms diaries were collected patients undergoing home-based avEEG in Australia (April 2020–April 2022). Intake included monthly frequency estimates. Only avEEG-confirmed epilepsy cases analyzed. Univariate multivariate analyses compared reported EEG, diaries, surveys. Results Of 3,407 reports, 853 identified cases, 234 studies analyzed after excluding outliers. Diary-reported correlated (p<0.00001), but survey-reported did not (p>0.05). Surveys significantly overestimated (median = 3.98 seizures/month, p<0.0001), while showed substantially smaller differences 0.01 p<0.0001). Carer presence was associated higher diary-reported (p=0.047). Age negatively survey estimation error (p=0.016). Multivariate analysis age carer status as significant predictors of residuals. Conclusions Most overestimate their frequency, influencing therapeutic raising concerns about the reliability data trials. Significance An “over-reporting, over-prescribing” cascade may affect treatment highlights issue drug relying rates. Key points Self-reported differ by avEEG. Survey reports tend diary show discrepancies. diaries. Older weakly overestimation seizures Over-reporting influence decision-making trial outcomes data.

Language: Английский

Unseen yet overcounted: The paradox of seizure frequency reporting DOI Creative Commons

Victoria Wong,

Timothy Hannon, Kiran M. Fernandes

et al.

Epilepsy & Behavior, Journal Year: 2025, Volume and Issue: 165, P. 110335 - 110335

Published: Feb. 26, 2025

Language: Английский

Citations

0
Artificial intelligence for the detection of interictal epileptiform discharges in EEG signals DOI

E Dessevres,

Mario Valderrama, Michel Le Van Quyen

et al.

Revue Neurologique, Journal Year: 2025, Volume and Issue: unknown

Published: April 1, 2025

Language: Английский

Citations

0
Unseen Yet Overcounted: The Paradox of Seizure Frequency Reporting DOI Creative Commons

Victoria Wong,

Timothy Hannon, Kiran M. Fernandes

et al.

medRxiv (Cold Spring Harbor Laboratory), Journal Year: 2024, Volume and Issue: unknown

Published: Dec. 11, 2024

Abstract Objective Seizure control is often assessed using patient-reported seizure frequencies. Despite its subjectivity, self-reporting remains essential for guiding anti-seizure medication (ASM) decisions and ongoing patient investigations. Additionally, clinical trials frequently rely on self-reported rates participant selection outcome measures. This study aims to compare frequencies with electrographic captured via ambulatory video EEG (avEEG). Methods Data from intake forms diaries were collected patients undergoing home-based avEEG in Australia (April 2020–April 2022). Intake included monthly frequency estimates. Only avEEG-confirmed epilepsy cases analyzed. Univariate multivariate analyses compared reported EEG, diaries, surveys. Results Of 3,407 reports, 853 identified cases, 234 studies analyzed after excluding outliers. Diary-reported correlated (p<0.00001), but survey-reported did not (p>0.05). Surveys significantly overestimated (median = 3.98 seizures/month, p<0.0001), while showed substantially smaller differences 0.01 p<0.0001). Carer presence was associated higher diary-reported (p=0.047). Age negatively survey estimation error (p=0.016). Multivariate analysis age carer status as significant predictors of residuals. Conclusions Most overestimate their frequency, influencing therapeutic raising concerns about the reliability data trials. Significance An “over-reporting, over-prescribing” cascade may affect treatment highlights issue drug relying rates. Key points Self-reported differ by avEEG. Survey reports tend diary show discrepancies. diaries. Older weakly overestimation seizures Over-reporting influence decision-making trial outcomes data.

Language: Английский

Citations

0