Perceived Seizure Risk in Epilepsy – Chronic Electronic Diary with and Without Concurrent EEG
Abstract number :
1.083
Submission category :
2. Translational Research / 2A. Human Studies
Year :
2022
Submission ID :
2204233
Source :
www.aesnet.org
Presentation date :
12/3/2022 12:00:00 PM
Published date :
Nov 22, 2022, 05:24 AM
Authors :
Jie Cui, PhD – Mayo Clinic; Irena Balzekas, PhD Canaidate – Mayo Clinic; Ewan Nurse, PhD – Seer Medical, Melbourne Australia; Pedro Viana, MD – King's College London, London, UK; Philippa Karloly, PhD – Seer Medical, Melbourne Australia; William Hart, PhD – Seer Medical, Melbourne Australia; Gregory Worrell, MD, PhD – Mayo Clinic; Mark Richardson, MD, PhD – King's College London, London, UK; Dean Freestone, PhD – Seer Medical, Melbourne Australia; Benjamin Brinkmann, PhD – Mayo Clinic
Rationale: A major challenge of living with epilepsy is the unpredictability of seizures. Previous studies have suggested symptoms associated with future seizure occurrence. However. self-reported seizure diaries can be inaccurate, making it important to investigate the relation between premonitory symptoms and EEG confirmed seizures. In addition, the use of different methodologies to investigate seizure self-prediction has impeded comparisons of survey studies and device studies. Here, we investigated the association between premonitory factors (perceived seizure risk, sleep quality, medication adherence, mood, and stress) and future (24 hr) reported and EEG-confirmed seizures. To support interpretability, we also evaluated the relationship between odds ratio (OR) used in survey studies and area under curve (AUC) used in device studies.
Methods: An electronic diary app was used to record self-reported seizures, perceived seizure risk, and premonitory factors. The cohort consisted of 69 subjects, four with concurrent EEG recordings (NeuroPace RNS or UNEEG SubQ). Population ORs were computed with multivariate generalized linear mixed-effect regression models, and a Jackknife approach was used to estimate 95% confidence intervals (CI).
Results: A total of 12,590 diary entries were recorded, including 596 with concurrent EEG. In the diary only group (Figure 1), stress was significantly associated with reported seizures in the next 24 hours (response) (Panel A) (OR [95% CI], p-value: 2.15 [1.25, 3.70], 0.01). However, if perceived seizure risk was included (Panel B, Model 2) only perceived risk was significantly associated (5.77 [3.26, 10.23], < 0.001).
Translational Research