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Abstract Details

Longitudinal Patterns of Depression and Anxiety in Parkinson Disease
Movement Disorders
P4 - Poster Session 4 (11:45 AM-12:45 PM)
3-002
Depression and anxiety are common non-motor symptoms in PD. The few published longitudinal studies on these symptoms in PD are limited by small sample size and brief follow-up. Patterns in severity of depression/anxiety over longer time periods are unknown.
To analyze longitudinal trends in severity of depression and anxiety in a large Parkinson disease (PD) cohort.

Anxiety and depression were measured using the Patient-Reported Outcome Measurement Information System (PROMIS-29) in 615 PD patients (67±9 years, 64% male, motor-UPDRS 24±13) during sequential visits between 2014 and 2022. Based on T-scores, PD patients were categorized into 3 subgroups (no, mild, or moderate/severe) for both depression and anxiety at baseline and again 2 and 4 years later, based on the same criteria.

At baseline, 74% of patients had no depression, 16% mild, 10% moderate/severe; 69% had no anxiety, 16% mild, 15% moderate/severe. Over time, the proportion of patients without depression or anxiety decreased (2 years: depression 69%, anxiety 59%; 4 years: depression 64%, anxiety 55%), while the frequency of patients with some degree of depression or anxiety increased accordingly. For both depression and anxiety, most patients in the non-symptomatic (67-82%) and moderately/severely affected groups (55-64%) did not change category at follow-up. Patients with mild depression at baseline split evenly into all 3 categories after 2 years, with more shifting towards moderate/severe depression after 4 years. Likewise, the proportion of patients with mild anxiety that were re-categorized as moderate/severe anxiety increased from 24% after 2 years to 41% after 4 years. 

The prevalence of both depression and anxiety in a large PD cohort increases over time. Most patients with either no or moderate/severe depression or anxiety remain in their baseline category. In contrast, patients with mild depression or anxiety at baseline show more variability in the severity of their mental health symptoms over time.

Authors/Disclosures
Omolara Lawal, MD (University of Maryland Medical Center)
PRESENTER
Dr. Lawal has nothing to disclose.
Melissa A. Morales Garcia, MD Dr. Morales Garcia has nothing to disclose.
No disclosure on file
Joseph M. Savitt, MD, PhD (University of Maryland) The institution of Dr. Savitt has received research support from NIH. The institution of Dr. Savitt has received research support from Biogen. The institution of Dr. Savitt has received research support from Roche. The institution of Dr. Savitt has received research support from Neuraly. The institution of Dr. Savitt has received research support from Neuroderm. The institution of Dr. Savitt has received research support from Insightec.
Stephen G. Reich, MD, FAAN (Univ of MD Hospital/Dept of Neuro) Dr. Reich has received personal compensation in the range of $500-$4,999 for serving as a Consultant for Best Doctors. Dr. Reich has received personal compensation in the range of $500-$4,999 for serving as a Consultant for UpToDate. Dr. Reich has received personal compensation in the range of $0-$499 for serving on a Scientific Advisory or Data Safety Monitoring board for NIH. Dr. Reich has received personal compensation in the range of $10,000-$49,999 for serving as an Expert Witness for Various law firms. The institution of Dr. Reich has received research support from ninds. Dr. Reich has received publishing royalties from a publication relating to health care. Dr. Reich has received publishing royalties from a publication relating to health care.
No disclosure on file
Lisa M. Shulman, MD, FAAN (University of Maryland School of Medicine) The institution of Dr. Shulman has received research support from NIH. Dr. Shulman has received publishing royalties from a publication relating to health care. Dr. Shulman has received publishing royalties from a publication relating to health care.
F. Rainer Von Coelln, MD (University of Maryland School of Medicine) The institution of Dr. Von Coelln has received research support from University of Maryland and Maryland State Goverment. Dr. Von Coelln has received intellectual property interests from a discovery or technology relating to health care.