Abstract Details

Title Associated Medical Factors as Predictors of Functional Neurological Disorders: A Retrospective Cohort Study

Topic Epilepsy/Clinical Neurophysiology (EEG)

Presentation(s) P7 - Poster Session 7 (5:00 PM-6:00 PM)

Poster/Presentation
Number 9-013

Objective

To assess whether stated allergies predict the likelihood of FND.

Background Functional neurological disorders (FNDs) involve perturbations of the functional brain networks instead of its structural abnormalities. While modern science better identifies FNDs, prompt diagnosis and treatment remain challenging, increasing healthcare system costs. One potential solution to improving the speed and efficiency of diagnosis involves identifying associated factors such as underlying comorbidities, gender, allergy lists and number of medications.

Design/Methods A retrospective chart review of a single level 4 epilepsy center was conducted involving patients assessed in the epilepsy monitoring unit (EMU) from January 2014 to January 2024, and who were definitively diagnosed with epilepsy or psychogenic non-epileptic seizure during their EMU stay. Multivariate logistic regressions were used controlling for variables such as allergies (both medication and non-medication), number of medications, gender and age. Statistical significance was determined using Wald’s test and the threshold was determined with max kappa model predictions.

Results A total of 250 patients (99 FND and 151 epilepsy patients) were included. The mean number of total allergies for all patients was 2.07, with epilepsy patients averaging 1.13 (range: 0 to 10), and FND patients averaging 3.48 (range: 0 to 26). Regression models showed an adjusted odds ratio of 1.43 [1.24, 1.65] for total allergies (p<0.001), 1.55 [0.85, 2.02] for female gender (p=0.15), 1.01 [0.99, 1.03] for age (p=0.19), and 1.03 [0.98, 1.07] for number of medications (p=0.25). The adjusted ratio was 1.42 [1.20, 1.68] (p<0.001) for medication allergies alone with the adjusted ratio for non-medication allergies alone was 1.62 [1.24, 2.15] (p<0.001).

Conclusions

The number of total, medication and non-medication allergies, and female gender are associated with a higher likelihood of having a FND. Studies with larger sample sizes and more controlled study designs are needed to better parse these interactions.

Authors/Disclosures
James Kelbert PRESENTER	Mr. Kelbert has nothing to disclose.
Cherry J. Barragan	Mrs. Barragan has nothing to disclose.
Naria S. Quazi, MD	Miss Quazi has nothing to disclose.
Rachel L. Schuurs, MD	Miss Schuurs has nothing to disclose.
Nicole Varda	Ms. Varda has nothing to disclose.
Joshua Tobin, MD, FAAN (Banner University Medical Center Neurosciences Institute)	An immediate family member of Dr. Tobin has received personal compensation for serving as an employee of Amgen. Dr. Tobin has received personal compensation in the range of $10,000-$49,999 for serving on a Speakers Bureau for Eli Lilly. Dr. Tobin has received personal compensation in the range of $50,000-$99,999 for serving on a Speakers Bureau for AbbVie.
Robin Garrett, PsyD	Dr. Garrett has nothing to disclose.
Alan Wang, MD, FAAN (Banner University Medical Center - Phoenix)	Dr. Wang has stock in AbbVie.
Ganesh Murthy, MD	Dr. Murthy has nothing to disclose.

��ɫ��

��ɫ��