SLEEP 2011 Abstract Supplement

B. Clinical Sleep Science VIII. Medical Disorders and Sleep
job demands, psychological distress, coworker support, and supervisor
support.
Conclusion: Sleep Deficiency is significantly associated with pain,
functional limitation and workplace interference. Future studies will
assess causal direction. These findings suggest that sleep, work-related
bodily pain, and resulting functional and work limitations are potentially
modifiable outcomes for a workplace health and safety intervention, or
related avenues of approach for intervention studies.
Support (If Any): This work was supported by a grant from The National
Institute for Occupational Safety and Health (U19-OH008861-01).
0644
ASSOCIATION BETWEEN LONG SLEEP DURATION AND
INCREASED LEFT VENTRICULAR MASS
Ramos AR 1 , Jin Z 2 , Sacco R 1,2 , Russo C 2 , Homma S 2 , Rundek T 1,2 ,
Di Tullio M 2
1
Neurology, Miller School of Medicine/University of Miami, Miami,
FL, USA, 2 Columbia University, New York, NY, USA
Introduction: Sleep duration has a U shape relation with cardiovascular
risk. Also, long sleep (≥10 hours) is associated with increased risk of
incident stroke. Increased left ventricular mass (LVM) is a risk factor for
cardiovascular morbidity and stroke, but its relation to sleep duration is
not established. Our aim is to evaluate the relation between sleep duration
and LVM.
Methods: A cross-sectional analysis was conducted among the participants
of the population-based Cardiovascular Abnormalities and Brain
Lesions study (CABL). Left ventricular mass on transthoracic echocardiogram
was computed according to the modified ASE formula: LVM =
0.8 [1.04 (LVDD + IVS+PWT) 3 - (LVDD) 3] +0.6. Sleep duration was
assessed by reported hours of sleep on a diary kept during 24-hour blood
pressure monitoring. Multivariate linear regression models were constructed
to assess the relation between sleep duration and LVM indexed
by height^2.7, after adjustment for demographics, depression score
and established cardiovascular risk factors (hypertension, diabetes, and
smoking). Analysis of sleep duration categories (less than 6 hours, 6 to
11 hours, and more than 11 hours) was performed.
Results: Among 756 participants (mean age 71±9 years), 60% were
women and 71% Hispanics. The majority had hypertension(71%); diabetes
was present in 29%. The mean sleep duration was 8.5 ±1.8 hours.
The mean LVM index was 51 ± 14 g/m2.7. There was an exponential
univariate relation (J shaped) between sleep duration (parameter estimate=
0.28; p =0.01) and LVM index. This relation did not persist after
adjusting for covariates. In fully adjusted models, long sleep (≥11 hours)
was associated with increased LVM index (parameter estimate=4.8;
p=0.002).
Conclusion: In this population-based study, long sleep was associated
with increased LVM after controlling for possible confounders. Primary
sleep disorders (e.g. sleep apnea) and fragmented sleep may explain the
relation between long sleep duration and increased LVM.
Support (If Any): This study was supported by grants R01 NS36286
(Marco R. Di Tullio, principal investigator) and NS29993 (Ralph L.
Sacco, principal investigator) from the National Institute of Neurological
Disorders and Stroke (Bethesda, MD).
0645
MODERATE TO SEVERE OBSTRUCTIVE SLEEP APNEA IS A
RISK FACTOR FOR MORTALITY IN SARCOIDOSIS
Escandon J 1 , McCarthy K 2 , Minai OA 1,2
1
Sleep Medicine, Cleveland Clinic, Cleveland, OH, USA, 2 Pulmonary,
Allergy and Critical Care, Cleveland Clinic, Cleveland, OH, USA
Introduction: Obstructive sleep apnea (OSA) is an indicator of poor
outcomes in patients with COPD. The impact of sleep disorders in patients
with sarcoidosis is poorly defined. We aimed to study the characteristic
and impact of sleep disorders in patients with sarcoidosis.
Methods: Patients with sarcoidosis who underwent polysomnography
(PSG) at our Sleep Center between January 2004 and August 2010 were
included in the analysis. Data on demographics, sarcoidosis characteristics,
and PSG variables were collected from the electronic medical
record system and the Sleep Database. Patients with AHI