Abstract Details

Title Prior Employment Status and Obesity Do Not Predict Post Stroke Fatigue

Topic Cerebrovascular Disease and Interventional Neurology

Presentation(s) P1 - Poster Session 1 (9:00 AM-5:00 PM)

Poster/Presentation
Number 073

Objective To determine if patients who worked prior to a stroke event will experience post-stroke fatigue (PSF) less than those who never worked prior to the stroke. To determine if obese patients will experience PSF more frequently than non-obese patients.

Background Post-stroke fatigue (PSF) is a common emotionally, cognitive, and physically debilitating condition following a stroke. The prevalence of PSF is between 38 – 74% of patients who have a stroke.

Design/Methods

One hundred and twenty-one patients with a confirmed diagnosis of ischemic stroke in the past three years were enrolled into the study. Exclusion criteria included: severe aphasia and end stage concomitant diseases. PSF was assessed using the Fatigue Assessment Scale (FAS) (FAS: no fatigue ≤ 21, fatigue 22–50). Patients were then identified based on their employment status (previously worked) or obesity (BMI) and compared to the presence of PSF. Logistic regression analysis was used to predict dichotomized FAS score.

Results Of the 52 patients who were obese, 21 experienced PSF (40%), while 31 did not experience PSF (60%). Of the patients who were not obese (69), 27 experienced PSF (39%), while 42 did not experience PSF (61%). A Fisher’s exact test was applied to determine the association between PSF and obesity (p=1.000). A Fisher’s exact test was applied to show the association between PSF and employment status (p=0.384). 92 patients had previously worked (76%) and 29 had never worked (24%). Of the 92 patients who previously worked, 39 experienced PSF (42%), while 53 did not experience PSF (58%). Of the patients who never worked (29), 9 experienced PSF (31%), while 20 did not experience PSF (69%). In logistic regression, employment status did not independently predict dichotomized FAS (adjusted odds ratio 1.34, 95% confidence interval [0.51, 3.50], p=0.557).

Conclusions Previous employment status and obesity did not independently predict PSF in an urban, minority cohort.

Authors/Disclosures
Zachary Cooper PRESENTER	Mr. Cooper has nothing to disclose.
Nadege Gilles (SUNY Downstate Medical Center)	Ms. Gilles has nothing to disclose.
Jessica R. Sirizzotti	Miss Sirizzotti 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.

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