Abstract Details

Title Does Frontal Lobe Stroke Influence the Development of Post-stroke Fatigue?

Topic Cerebrovascular Disease and Interventional Neurology

Presentation(s) P10 - Poster Session 10 (11:45 AM-12:45 PM)

Poster/Presentation
Number 5-025

Objective We studied whether there is a difference in frequency and severity of PSF based on stroke location. We also assessed whether factors such as sex, employment, BMI, and sleep apnea modulate/confound the effect of stroke type on PSF.

Background A common, clinically important sequelae of stroke is fatigue. The relationship of stroke location to post-stroke fatigue (PSF) is controversial.

Design/Methods Participants were recruited from a mixture of inpatient and outpatient services at SUNY Downstate and Kings County Hospital in Brooklyn, NY. Inclusion criteria included: age > 18, confirmed stroke on imaging. Exclusions included: hemorrhagic stroke, end stage disease (malignancy, renal disease), antidepressant treatment within the past year and or history of major depressive disorder. The Fatigue Assessment Scale (FAS) score was assessed. Strokes were classified as frontal (F) or non frontal (NF). A 2-sided Mann-Whitney test to compare distribution of FAS scores between stroke types. General linear model to predict log-transformed FAS scores from stroke type, mRS and NIHSS scores. Potential interactions among predictors were investigated; inspection of model residuals was conducted to detect skew or outlying observations.

Results Of the 86 participants, 52% were male, 82% were African-Caribbean. Stroke risk factors frequencies were: diabetes (63%), hypertension (93%), hyperlipidemia (63%), and coronary artery disease (22%). The average FAS in the NF group was 20.6 with a standard deviation of 7.5, and the average FAS in the F stroke group was 20.4 with a standard deviation of 7.3. PSF did not differ between stroke types (p=0.86). No significant interactions were detected. None of the confounders predicted PSF except for sex.

Conclusions

We did not find significant differences in PSF between F and NF strokes when controlling for mRS and NIHSS levels. When assessing for potential interactions among predictors only sex was found to predict PSF fatigue. Sex differences in PSF warrant further validating studies.

Authors/Disclosures
Tyler Spohr, MD PRESENTER	Mr. Spohr has nothing to disclose.
Steven Levine, MD, FAHA (SUNY Downstate Medical Center)	Dr. Levine has received personal compensation in the range of $500-$4,999 for serving as an Editor, Associate Editor, or Editorial Advisory Board Member for MEDLINK. Dr. Levine has received personal compensation in the range of $50,000-$99,999 for serving as an Expert Witness for Law Firms. The institution of Dr. Levine has received research support from NIH.
Srinath Ramaswamy, MD (SUNY Health Science Center, Department of Neurology)	Dr. Ramaswamy has nothing to disclose.
Mohamed M. Eldokmak, MD	Dr. Eldokmak has nothing to disclose.
Yohannes S. Mulatu, MD (SUNY Downstate)	Dr. Mulatu has nothing to disclose.

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