Using large language models to investigate patients’ and caregivers’ perceptions on SUDEP: A case study with an online epilepsy population

Background Sudden Unexpected Death in Epilepsy (SUDEP) is a leading cause of epilepsy-related mortality, yet remains under-communicated in clinical practice. Social Media Listening (SML) is a novel method using natural language processing and machine learning to retrieve real-world data. This study uses SML and explores patient and caregiver reports surrounding SUDEP on topics such as information provision, emotional impact, and preventive behavior. Methods A retrospective observational study was conducted using Artificial Intelligence (AI) and Natural Language Processing (NLP)-powered patient-centricity solutions across online communities from 09/2020–11/2024. Posts from 23,584 authors were analyzed, with 1,381 posts by 789 individuals explicitly mentioning SUDEP. Patient and caregiver narratives were annotated, semantically tagged, analyzed quantitatively and qualitatively using Pharos Analytics TM and PatientGPT. Results Most patients and caregivers reported learning about SUDEP through independent online research, often years after diagnosis, triggering emotions such as fear, shock, frustration. Lack of counseling by healthcare professionals was linked to feelings of betrayal and mistrust. Knowledge about SUDEP promoted adherence to medication, lifestyle adjustments, and use of preventive tools (e.g., seizure alarms, anti-suffocation pillows). Patients emphasized the need for early, transparent SUDEP discussions, ideally at diagnosis of epilepsy; caregivers focused on monitoring and care burden. Counseling was not associated with long-term psychological harm and welcomed for its empowering potential. Conclusion Despite clinicians' reluctance to discuss SUDEP due to fear of increasing patient anxiety, this study shows that knowledge about SUDEP may lead to proactive risk management without long-term emotional harm. Early, honest communication is desired by patients and caregivers and vital for implementing preventive strategies.

Authors

Institutions

Publication Details

Journal
Epilepsy & Behavior
Published
2026-09-01
DOI
https://doi.org/10.1016/j.yebeh.2026.111276
Primary Topic
Epilepsy research and treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

Using large language models to investigate patients’ and caregivers’ perceptions on SUDEP: A case study with an online epilepsy population

Nicole Brazda, Philipp Cimiano, Christian Brandt, Thomas Andreu
Epilepsy & Behavior
Epilepsy research and treatment
article

Using large language models to investigate patients’ and caregivers’ perceptions on SUDEP: A case study with an online epilepsy population

Nicole Brazda, Philipp Cimiano, Christian Brandt, Thomas Andreu
article en

Abstract

Background Sudden Unexpected Death in Epilepsy (SUDEP) is a leading cause of epilepsy-related mortality, yet remains under-communicated in clinical practice. Social Media Listening (SML) is a novel method using natural language processing and machine learning to retrieve real-world data. This study uses SML and explores patient and caregiver reports surrounding SUDEP on topics such as information provision, emotional impact, and preventive behavior. Methods A retrospective observational study was conducted using Artificial Intelligence (AI) and Natural Language Processing (NLP)-powered patient-centricity solutions across online communities from 09/2020–11/2024. Posts from 23,584 authors were analyzed, with 1,381 posts by 789 individuals explicitly mentioning SUDEP. Patient and caregiver narratives were annotated, semantically tagged, analyzed quantitatively and qualitatively using Pharos Analytics TM and PatientGPT. Results Most patients and caregivers reported learning about SUDEP through independent online research, often years after diagnosis, triggering emotions such as fear, shock, frustration. Lack of counseling by healthcare professionals was linked to feelings of betrayal and mistrust. Knowledge about SUDEP promoted adherence to medication, lifestyle adjustments, and use of preventive tools (e.g., seizure alarms, anti-suffocation pillows). Patients emphasized the need for early, transparent SUDEP discussions, ideally at diagnosis of epilepsy; caregivers focused on monitoring and care burden. Counseling was not associated with long-term psychological harm and welcomed for its empowering potential. Conclusion Despite clinicians' reluctance to discuss SUDEP due to fear of increasing patient anxiety, this study shows that knowledge about SUDEP may lead to proactive risk management without long-term emotional harm. Early, honest communication is desired by patients and caregivers and vital for implementing preventive strategies.

Epilepsy & BehaviorVol. 185
Bielefeld University (DE), Hochschule Bielefeld (DE), Bethel University (US)
Openalex Percentile: Top 10%
Epilepsy research and treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.