SLEEP 2011 Abstract Supplement

B. Clinical Sleep Science VIII. Medical Disorders and Sleep
(87%) and cough or snoring (56.5%). In contrast, only 3.1% claimed
having more than 9 hours of sleep a night. There was no correlation between
sleep and glycemic control in these diabetics (r=0.038 p= 0.666).
Conclusion: Patients with diabetes suffer from poor sleep quality. Majority
of patients experience nocturia and cough during night time.
0666
A PILOT STUDY TO IDENTIFY GENETIC VARIATIONS OF
RESTLESS LEGS SYNDROME IN PERSONS WITH TYPE 2
DIABETES
Cuellar NG
Capstone College of Nursing, University of Alabama, Tuscaloosa, AL,
USA
Introduction: Restless Legs Syndrome (RLS) is a highly heritable syndrome
with an identifiable phenotype, variable expressivity, and high
penetrance. RLS is reported in 44% of persons with type 2 diabetes
(t2D). Genetic variations may impact the onset of RLS symptoms. The
purpose of this pilot was to compare genetic variations of RLS in persons
with t2D.
Methods: This is a pilot study to examine a genome wide association,
typing cases and controls on a single set of arrays. 41 patients with t2D
were recruited from the PENN Rodebaugh Diabetes Center. Participants
were screened using the telephone diagnostic interview for RLS. Data
was collected on ferritin, glycosylated hemoglobin (HgA1c), and genetic
testing (analyzed at the Molecular Diagnosis and Genotyping Facility
at UPENN). Genetic variations for RLS were based on findings
in literature 6-9 including: BTBD9 (rs9296249, rs9357271, rs3923809),
MEIS1 (rs2300478), MAP2K5 (rs12593813, rs11635424, rs4489954,
rs3784709, rs1026732), LBXOR1 (rs6494696), PTPRD (rs4626664).
Results: Sample size was 41 (26 males; 15 females), mean age
64(SD=9.8). Participants with RLS were younger, had higher HgA1c
and lower ferritin levels. One SNP on the MAP2K5 gene at locus
rs3784709 was different between the 2 groups (p=0.005) with C risk allele
on locus rs3784709 more frequently identified in persons with RLS
than those without. Limitations of the study include sample size. as we
did not have power based on odds ratio and allele frequency to detect
associations with the SNPs.
Conclusion: It is uncertain why some people with t2D may develop
RLS and others do not if the genetic variations are no different between
the two groups. The progression of RLS after the diagnosis of t2D warrants
further investigation. Studies examining the genetic variation of
RLS and the association with t2D may improve diagnosis and treatment
of RLS and t2D.
Support (If Any): 1) Hartford Center of Geriatric Nursing Excellence
and the Frank Morgan Jones Fund at the University of Pennsylvania
School of Nursing, Philadelphia 2) Public Health Services Research
Grant RR024134 from the National Institutes of Health
0667
CHARACTERIZING THE RELATIONSHIP SHARED BY
SLEEP DISORDERS AND DIABETES
Seibert PS 1,2 , Schommer J 1 , Gagnon S 1,2 , Connely M 1,2 , Grimsley F 1
1
Saint Alphonsus Regional Medical Center, Boise, ID, USA, 2 Boise
State University, Boise, ID, USA
Introduction: Research has demonstrated that sleep disorders (SDs)
are associated with prolific health problems. The extent of these relationships
has not been clearly ascertained because of significant rates
of under or inadequate diagnoses along with a multitude of intervening
variables associated with disease symptomatology. Investigations
are further constrained by difficulty in acquiring valid data from people
whose diagnoses are based on a complete nocturnal polysomnography
(NP) and/or multiple sleep latency tests (MSLT). Researchers are beginning
to examine relationships shared by SDs and diabetes to illuminate
relevant covariance. It is estimated that 23.6 million people in the
United States have diabetes and an additional 57 million people have
pre-diabetes. Daily self-management is essential for controlling diabetes
and its associated complications. Comorbidity of diabetes with SDs may
present unique challenges for daily self-management because SDs may
compromise cognition, emotional well-being, and general health.
Methods: We constructed an 111-item questionnaire to use in conjunction
with nocturnal polysomnography studies (NPS), multiple sleep
latency tests, the Epworth Sleepiness Scale (ESS), and medical chart
reviews of people referred for evaluation of SDs.
Results: We analyzed data from 658 people (290 female, 368 males).
101 had a history of diabetes and were diagnosed with SDs. Analyses
of the diabetes versus no diabetes groups provided characterizations of
those with SD and diabetes. For example, comparisons of the groups
during NPS revealed significant differences in prevalence of diagnoses
of poor sleep efficiency and nocturnal hypoxemia. People with diabetes
had higher BMI; slept fewer hours; spent more time in stage 1 sleep and
less in stages 3 and 4; reported greater incidents of pain, depression, high
blood pressure, heart failure, heart attack, chronic lung disease, thyroid
disease, stroke, and bed wetting.
Conclusion: We hope identification of diabetes risk/predictor variables
associated with SD will contribute to facilitating prevention, early diagnosis,
and effective treatment modalities.
0668
PREVALENCE OF VITAMIN D INSUFFICIENCY/
DEFICIENCY AMONG SLEEP MEDICINE PATIENTS
COMPLAINING OF SOMATIC PAIN AND CORRELATION
WITH DAYTIME SLEEPINESS
McCarty DE, Reddy A
Neurology/Sleep Medicine, LSUHSC-Shreveport, Shreveport, LA,
USA
Introduction: Vitamin D deficiency/insufficiency (VDDI) affects > 1
billion persons worldwide, predisposing to nonspecific musculoskeletal
pain and painful myopathy. Vitamin D levels are inversely correlated
with systemic inflammatory markers. Chronic pain and systemic
inflammation contribute to sleep disruption and daytime impairment
symptoms, including excessive daytime sleepiness (EDS), though the
potential contribution of VDDI to these problems in a sleep medicine
population has not been systematically investigated. We postulated that
VDDI may be highly prevalent amongst sleep medicine patients complaining
of pain, and sought to determine whether there is a correlation
between 25-hydroxyvitamin D level and EDS.
Methods: Consecutive patients evaluated at an academic sleep disorders
center from 4/1/08 to 3/31/09 were questioned about the presence
of musculoskeletal pain. 69 patients who answered in the affirmative,
and who agreed to VDDI screening via venous sampling, were included.
Epworth Sleepiness Scale scores (ESSS) were analyzed if obtained
within 2 weeks of the blood test. Vitamin D deficiency was defined as a
25-hydroxyvitamin D level of