SLEEP 2011 Abstract Supplement

B. Clinical Sleep Science IV. Sleep Disorders – Parasomnias
tion of the variance in BDI [R2=0.12, F(2,48)=3.33, p=0.044] with age
significantly predicting BDI (β=-0.251, t=-2.52, p=0.015). The addition
of the categorical variable of RBD diagnosis significantly increase the
variance explained in BDI [ΔR2=0.09, F(2,47)=5.63, p=0.021]. When
the categorical data were replaced with continuous variables representing
RBD severity (RBDSQ and EMGscores), the variance explained in
BDI significantly increased (ΔR2=0.15, F2,46=4.86, p=0.012; RBDSQ
(β=0.64, p=0.029; age β=-0.249, p=0.011; EMGscore and AHI not significant).
This full model (AHI, age, RBDSQ and EMGscore) explained
significant proportion of variance in BDI score [R2=0.28, F(4,46)=4.36,
p=0.005].
Conclusion: Preliminary results suggest that PD patients with RBD
have significantly more depressive symptoms than those without RBD.
Furthermore, RBD symptoms are an independent predictor of depression
in our PD population after controlling for AHI and age.
Support (If Any): Supported by NIA AG08415, NIH M01 RR00827,
UC1RR031980, the Research Service of the Veterans Affairs San Diego
Healthcare System and the Department of Veterans Affairs Center of
Excellence for Stress and Mental Health (CESAMH).
0568
USING POLYSOMNOGRAPHY AND CLINICAL HISTORY
TO DIAGNOSE REM SLEEP BEHAVIOR DISORDER IN
PARKINSON’S DISEASE: A PROPOSED CLASSIFICATION
SYSTEM
Neikrug AB 2,1 , Natarajan L 3 , Loredo JS 1,4 , Liu L 1 , Avanzino JA 1 ,
Maglione JE 1 , Calderon J 1 , Corey-Bloom J 5 , Ancoli-Israel S 1,2
1
Department of Psychiatry, UCSD, La Jolla, CA, USA, 2 Joint Doctoral
Program in Clinical Psychology, SDSU/UCSD, San Diego, CA, USA,
3
Department of Family and Preventive Medicine, UCSD, San Diego,
CA, USA, 4 Department of Medicine, UCSD, San Diego, CA, USA,
5
Department of Neurosciences, UCSD, San Diego, CA, USA
Introduction: Sleep Behavior Disorder (RBD) is a parasomnia that involves
acting out violent dreams with loss of muscle atonia during REM
sleep. There is a need for consistent and validated methodology for diagnosis
and classification of RBD. We aimed to assess and validate existing
cutoff scores for diagnostic measures of RBD in Parkinson’s Disease
(PD). We hypothesized that a combination of objective and subjective
measures would increase diagnosis accuracy.
Methods: 51 PD patients (age=68.1±9.69yrs, 35-males) underwent an
overnight PSG and clinical evaluation using the REM behavior screening
questionnaire (RBDSQ). EMGscore was computed as the average
percent tonic and phasic EMG muscle activity during REM sleep. Previously
validated cutoff scores of RBDSQ≥5 and EMGscore≥10, observational
data from the technician notes, and PSG-synchronized video
recording were used to assess sensitivity and specificity of these diagnostic
methods alone. Patients were then classified into 3 groups according
to both the RBDSQ and the EMGscores (yes-RBD: EMGscore≥10%
plus RBDSQ≥5; no-RBD: EMGscore