Abstract
Introduction
Unidentified sleep disorders can affect emotional, cognitive and social development in children. Screening for sleep disorders within the pediatric population is not common ...practice during medical visits. The objective of this study is to identify specific questions related to behavioral and physiological factors having potential to screen and detect those at risk for sleep disorders in a general pediatric clinic.
Methods
A retrospective archive from electronic medical records was analyzed from 1,361 children patients, 0-18 years old, that visited a pediatric clinic from March-November of 2019. Children or their parents reported on the presence of eight objective behavioral and physiological factors on the Kids Sleep Screener Questionnaire (KSSQ), which were used as potential risk factors for sleep disorders. Propensity of daytime sleepiness was measured through the Epworth Sleepiness Scale for Children and Adolescents (ESS-CHAD). Scores higher than 11 were considered a positive indicator of potential sleep disorders because of excessive daytime sleepiness. Positive scores from the ESS-CHAD were used for comparison with the KSSQ factors using chi-square test of SAS software.
Results
Among the eight factors, snoring was the strongest risk factor and increased sleep duration was the weakest risk factor associated with a positive ESS-CHAD. Relationships among risk factors and the increased likelihood for developing sleep disorders were statistically significant (p<0.05-p<0.0001) and identified as following: snoring by 2.46 times, restless sleeper by 2.03 times, behavioral or learning difficulties by 1.43 times, nocturnal awakenings by 1.16 times, excessive sleepiness during the day by 1.10 times. Sleep onset latency and increased sleep duration were weak indicators due to a likeliness of less than one time (p<0.05) to be associated with a positive ESS-CHAD. Abnormal sleep behavior was not a statistically significant risk factor (p≥0.05) for potential sleep disorders in children.
Conclusion
There were associations between seven behavioral and physiological risk factors with overall sleep propensity in children. These results exhibit that the KSSQ is an important tool to identify potential sleep disorders in children and the need for follow up with a sleep specialist. The KSSQ is under validation for becoming a standard sleep screener in pediatrics.
Support
N/A
Abstract
Introduction
Poor sleep has been associated with a higher risk of hypertension, but few prospective studies have included multiple sleep dimensions and few have investigated age differences ...or racial/ethnic disparities in this relationship among pre- and post-menopausal women.
Methods
To investigate the association between sleep disturbances and hypertension risk, we used data from women in the United States enrolled in the Sister Study who were aged 35 to 74 years at baseline (2003 to 2009) and did not have hypertension at enrollment. Participants were followed through September 2017. Sleep duration, inconsistent weekly sleep patterns, sleep debt, frequent napping, and insomnia symptoms were reported at baseline. During follow-up, participants reported whether they were diagnosed by a healthcare provider with hypertension. Adjusting for sociodemographic characteristics, health behaviors, and health conditions including diabetes and depression, we used Cox Proportional Hazards regression to estimate hypertension risk among women with vs. without unfavorable sleep characteristics. We also investigated potential modification by race/ethnicity, age,and menopausal status.
Results
Of 33,175 women without hypertension at baseline (mean age ± standard deviation: 53.9 ±8.8 years; 88.8% White, 6.4% Black, and 4.9% Hispanic/Latina), 19.9% developed hypertension over a median follow-up of 9.2 years (interquartile range: 7.6 to 10.9). After adjustment, insomnia symptoms (hazard ratioHR=1.08 (95% Confidence Interval CI: 1.03-1.15)) and insomnia symptoms combined with short sleep (HR=1.14 (95% CI: 1.06-1.23)) were associated with incident hypertension. While similar across race/ethnicity, these associations were stronger in younger (age <54 vs. ≥54 years) and premenopausal vs. postmenopausal women (p-values for interaction <0.05).
Conclusion
Sleep disturbances related to insomnia were associated with an increased risk of hypertension, especially among younger and premenopausal women.
Support
This work was funded by the Intramural Program at the National Institutes of Health (NIH), National Institute of Environmental Health Sciences (NIEHS, Z1AES103325-01 CLJ and Z01 ES044005 DPS).
Abstract
Introduction
Sleep problems are a common concern in children with autism spectrum disorder (ASD) that can persist into adulthood. This study aims to further explore sleep in ASD without ...intellectual disability (ASD w/o ID).
Methods
We recruited individuals with ASD w/o ID (probands) and relatives as part of the Autism Spectrum Program of Excellence (ASPE) at the University of Pennsylvania. Actimetry data were collected via a wrist-worn tri-axial accelerometer for 21 days. Data from 212 participants were considered. We analyzed sleep data using the algorithms GGIR, ChronoSapiens, and PennZzz. The sleep traits of proband and sibling pairs were compared using paired t-test or Wilcoxon signed-rank test. We used the Social Responsiveness Scale, Second Edition (SRS-2) to assess social impairment and restricted/repetitive traits. We compared SRS-2 scores to sleep traits using partial Spearman or Pearson correlations adjusting for age (171 participants).
Results
Probands demonstrated later sleep onset (p = 0.03), decreased M10 average (10-hour period of highest activity/day; p = 0.006), decreased relative amplitude (measure of rest-activity rhythm; p<0.001), and decreased total daytime activity (p = 0.005) compared to siblings. Regarding social function and restricted/repetitive traits, adult males showed an inverse correlation between SRS-2 total score and sleep efficiency (r = -0.2, p= 0.04) and a positive correlation between SRS-2 total score and intradaily variability (r = 0.3, p = 0.02). Adult females showed an inverse correlation between SRS-2 total score and M10 average (r = -0.3, p = 0.02) and between SRS-2 total score and relative amplitude (self-report r = -0.4, p = 0.001; informant r = -0.3, p = 0.005).
Conclusion
This study focuses on the analysis of sleep traits in ASD including the relationship between social function and sleep. Thus far, the most robust findings are decreased daytime activity and relative amplitude in individuals with ASD w/o ID compared to siblings. We have also shown that ASD social impairment may be related to sleep dysfunction.
Support
NIH T32HL07713, anonymous donor, and the Institute for Translational Medicine and Therapeutics of the Perelman School of Medicine at the University of Pennsylvania.
Abstract
Introduction
Daytime neurobehavioral impairments are commonly associated with sleep disordered breathing (SDB) in children. However, a large number of studies have shown only minimal ...differences in sleep between children with SDB relative to control children, suggesting that sleep dysfunction is not responsible for daytime impairment. Importantly, however, previous studies have measured sleep EEG using only frontal scalp electrodes, failing to capture the regional features of sleep that are prominent during development. Here we measure sleep using hdEEG in SDB and healthy children to determine if regional sleep impairment is related to daytime neurobehavioral performance.
Methods
Overnight high-density electroencephalography (hdEEG, 256 channels) was recorded in 17 children with sleep disordered breathing (SDB) (age: M = 8.46, SD = 1.82, AHI: M = 11.3, SD = 8.6, 53% female) and 17 age and sex matched controls (age: M = 8.47, SD = 1.66, AHI: M = 1.5, SD = .64). Attentional capacity was assessed using the Test of Variables of Attention (TOVA) before and after sleep. Group differences in sleep macrostructure variables were assessed using unpaired t-tests. All-night spectral analysis was performed for NREM sleep and averaged across groups. Topographic differences between groups were assessed using statistical non-parametric mapping. Pearson correlations were used to determine associations between sleep and TOVA variables.
Results
Sleep macrostructure did not differ between groups. All-night spectral density analysis revealed a global increase in high-frequency activity in N2N3 and N3, in the alpha band (8-12 Hz, p<0.05). Global alpha power was higher in SDB youth, although this effect reached significance during N3 in a large cluster of posterior channels (N=55, p=.02).
Conclusion
Elevated alpha during NREM is frequently considered a correlate of nonrestorative sleep. In this sample of youth with SDB, posterior alpha is robustly increased during the deepest stage of NREM sleep. In this small sample, however, alpha power did not predict performance on an attentional task sensitive to the effects of impaired sleep.
Support
R21 HD092986-02 to SJ
Abstract
Introduction
Dementia with Lewy bodies (DLB) can be associated with degeneration of the hypocretin system and reduced hypocretin levels. However, reports of DLB initially presenting with ...narcolepsy with cataplexy symptoms are sparse.
Report of Case
A 77-year-old man presents with two years of new onset hypersomnia, tremors, memory difficulties, and gait instability. Before his sleep evaluation, he was started on levetiracetam for suspected seizures and levodopa for suspected Parkinson’s disease, without improvement. During his evaluation for hypersomnia, he reported loud snoring, witnessed apneas, sleep maintenance difficulty, hypnagogic hallucinations of well-formed images, and vivid dreams with dream enactment behavior occurring almost nightly. He had witnessed episodes of cataplexy described as transient lower extremity weakness with associated bifacial weakness, inability to speak, and no loss of consciousness, self-injury, loss of bowel/bladder control, or post-event symptoms. These events completely resolved after 1-minute, occurred while sitting or standing, and were spontaneous or triggered by anger or anxiety. His Epworth Sleepiness Scale was 18 and Ullanlinna Narcolepsy Scale was 35, suggestive of narcolepsy with cataplexy. Physical examination did not reveal Parkinsonism or resting tremor. He subsequently underwent a baseline polysomnogram that showed an apnea-hypopnea index of 32.7 events/hour. During an in-laboratory titration study, he had REM sleep without atonia. A 30-minute EEG was interpreted as normal and a typical cataplexy-like event captured during continuous EEG monitoring had no ictal correlate. Despite adherence to positive airway pressure therapy, he continued to have hypersomnia, cataplexy, and visual hallucinations during transitions from wake to sleep. He was tapered off levetiracetam and levodopa with a plan for further evaluation of probable DLB.
Conclusion
Narcolepsy with cataplexy symptoms is an uncommon presentation of probable DLB as seen in this case with two core clinical features of DLB (RBD and visual hallucinations), suggesting neurodegeneration of the hypocretin system.
Abstract
Introduction
Narcolepsy is a debilitating disorder characterized by excessive sleepiness and cataplexy episodes. There is no cure for this disease. Current treatments focus on controlling ...the symptoms with CNS stimulants for sleepiness and antidepressants and/or CNS depressants for cataplexy. This study examines the factors that can contribute to the cessation of narcolepsy treatment.
Methods
The study includes 291 narcoleptic individuals who were interviewed twice, approximately five to seven years apart, in Wave 1 (W1) and Wave 2 (W2). Telephone interviews were conducted with the help of the Sleep-EVAL system; narcolepsy individuals were initially evaluated and diagnosed by a Sleep Specialist.
Results
At W1, 49.2% of narcoleptic individuals were taking a CNS stimulant; at W2, 37% of narcoleptic individuals were taking a CNS stimulant. The use was chronic (i.e., present at W2 and W1) for 52.7% of the W2 subjects. CNS depressants were used by 19.1% at W1 and 17% at W2. Of the W1 subjects, 67.6% still reported using CNS depressants at W2. In terms of antidepressants, 38.6% and 29.6% of subjects reported using these medications at W1 and W2 respectively. Of those taking antidepressants at W2, 58.9% reported chronic use (ie, were also on antidepressants at W1). At least one of the aforementioned medication classes was used by 72% of participants at W1 and 56.1% at W2. Chronicity of nocturnal awakenings (RR: 2.7), the frequency of cataplexy episodes (RR: 2.3) and the chronicity of hypnopompic hallucinations (RR: 2.8) were associated with long-term use of narcolepsy treatment.
Conclusion
Narcolepsy treatments are mostly taken to long term. Some narcoleptics individuals were able to reduce or stop treatment either because the intensity of symptoms decreased or because they developed coping mechanisms to deal with the symptoms.
Support
NIH (R01NS044199), the Arrillaga Foundation and Jazz Pharmaceuticals Inc.
Abstract
Introduction
Patients with insomnia frequently experience sleep/insomnia-related anxiety; this anxiety has been associated with hyperarousal. We investigated the underlying brain function ...changes in patients with insomnia during emotional task performance that induced sleep/insomnia-related anxiety.
Methods
Functional magnetic resonance imaging (fMRI) was performed during emotional task performance in healthy individuals and patients with insomnia who met the diagnostic criteria of insomnia disorder based on the Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition, and had chronic insomnia for more than 6 months. The participants underwent fMRI scanning during three types of emotional task performance—insomnia-anxiety task, reading sentences that cause insomnia-related anxiety; general-anxiety task, reading sentences that cause anxiety for everyone; and neutral task, reading neutral sentences that do not cause emotional anxiety. The images obtained from fMRI and blood oxygen level-dependent (BOLD) signal changes were compared between patients with insomnia and healthy controls. Interim analysis was performed with the data of 13 patients with insomnia and 9 controls.
Results
The brain activity in the left anterior cingulate was higher during insomnia-anxiety task performance than that during general-anxiety task performance in the insomnia group (voxel-wise uncorrected p < 0.05; cluster size, 100). In the insomnia group, the brain activity during insomnia-anxiety task performance was not lower in any brain area than that during general-anxiety task performance.
Conclusion
We show that patients with chronic insomnia experience sleep anxiety related with hyperarousal in the left anterior cingulate area. Additional subject recruitment and re-analysis are needed to confirm the findings of this interim analysis.
Support
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education (NRF-2017R1D1A1B03032431).
Abstract
Introduction
Chronic sleep deprivation has been associated with cognitive impairment (CI) in multiple studies. Cognivue is an FDA-cleared computerized testing tool that provides adaptive ...psychophysic evaluation of cognitive functions (CF). A reliable objective method to evaluate CF in patients with sleep disorders could be helpful to optimize long-term treatment. In an FDA clearance study, Cognivue demonstrated good agreement with St. Louis University Mental Status (SLUMS) and other neuropsychological tests, and superior test re-test reliability compared to SLUMS across 2 sessions, 1 to 2 weeks apart (Cognivue regression fit: R2= 0.81, r= 0.90); SLUMS regression fit: R2 = 0.67, r= 0.82).
Methods
238 subjects from the FDA clearance study enrolled in the longitudinal study. They underwent Cognivue test and SLUMS at 3 sessions over 18 months (6, 12, 18 months post-FDA study). An analysis of rank linear regression test-retest reliability was performed for both tests.
Results
Among these 238 patients, Cognivue demonstrated similar linear regression scores across comparisons (test session 1&2: regression fit: R2= 0.76; r = 0.87; test session 1&3: regression fit: R2= 0.72; r = 0.85; test session 1&4: regression fit: R2= 0.73; r = 0.86). The SLUMS test demonstrated greater variability in regression scores across test sessions (test session 1&2: regression fit: R2= 0.63; r = 0.79; test session 1&3: regression fit: R2= 0.43 r = 0.65; test session 1&4: regression fit: R2= 0.64; r = 0.80).
Conclusion
Cognivue demonstrated maintained superior test re-test reliability compared to SLUMS over a period of 18 months after the FDA clearance study. With that, Cognivue could be beneficial in detecting early stages of multi-domain CI in patients with sleep disorders, providing an opportunity for early intervention strategies and follow-up over time to improve patient outcomes.
Support
Cognivue, Inc.
Abstract
Introduction
Sleep disordered breathing (SDB) in children comprises a wide spectrum of presentation ranging from primary snoring (prevalence 6-12%) to obstructive sleep apnea (OSA; ...prevalence 1-3%). In younger children, SDB is often secondary to adenotonsillar hypertrophy. Polysomnography is the gold standard test for evaluation of sleep disordered breathing. Yet, many providers order ancillary tests such as Radiography of Nasopharynx (NPX-ray) to assess for adenoidal hypertrophy. Previous studies evaluating efficacy of NPX-rays to diagnose airway obstruction have shown mixed results.
Methods
Retrospective chart review of 65 consecutive normally developed children who have had diagnostic polysomnography and NPX-rays over the past 3 years was performed. Data on age, sex, Obstructive Apnea Hypopnea Index (OAHI) and NPX-ray findings were collected. Our cohort mostly had the following diagnosis such as GERD, Asthma, Allergic rhinitis, ADHD and Obesity. Our cohort did not have neurological disorders or medications that could affect tone of upper airway. Standard pediatric AHI criteria was applied to categorize mild, moderate and severe OSA.
Results
Our cohort’s age ranged from 3-18 years (median age 10 years); 43 were males. Of the 24 children with normal sized adenoids with no obstruction; 6 had severe OSA and 4 had moderate OSA. 3 had hypertrophied adenoids on X-ray with occlusion of nasopharynx but only had mild OSA. Of the 15 children with prominent adenoids with some narrowing but no occlusion; 9 had severe OSA. Of the 9 children that had hypertrophied adenoids with no occlusion; 3 had moderate OSA and 3 had severe OSA. Of the 12 with mild enlargement, 4 had severe OSA. None of the 19 children with severe OSA showed airway occlusion by adenoids.
Conclusion
In our study, the size of the adenoids on X-ray of the Nasopharynx did not correlate with severity of SDB in children. Airway obstruction in OSA is dynamic and can occur at multiple sites affected by anatomical factors and upper airway collapsibility. As use of Nasopharyngeal radiography involves exposure to radiation, it should be used judiciously in diagnosis of SDB in children. Polysomnography is the gold standard test for evaluation of SBD in children.
Support
None.
Abstract
Introduction
To date, research on differences in sleep complaints between patients with different subtypes of ADHD has been mixed. On balance, the evidence tends towards ADHD-Combined ...Presentation (ADHD-C) being associated with more severe sleep and sleep-related daytime complaints than ADHD-Primarily Inattentive (ADHD-I). In order to further assess this issue a surveillance study was undertaken in an active ADHD clinic by adding a comprehensive sleep disorders screener (SDS-CL-25) to the clinical intake procedures. These data were used to ascertain whether the two subtypes differ for any of 13 sleep disorders symptoms.
Methods
Subjects (n = 132; 83 male, 49 female, mean age 32.8, age range 18-79), presenting to the clinic for evaluation for ADHD were given the SDS-CL-25. The SDS-CL-25 is a 25-item instrument developed to screen for multiple sleep disorders at one time (problems are endorsed on a Likert-scale; 0 = never and 4 = more than 5x/week). Endorsements greater than 3x/week were counted as positive for the symptom and less than three days per week was considered negative.
Percent per group was compared using Chi Square Analyses. Cumulative morbidity means were also analyzed using t-tests. The subtype, ADHD-I (n=71) and ADHD-C (N=61), was established using EMR records.
Results
No significant differences between patients with ADHD-I and ADHD-C were detected.
Conclusion
The lack of finding in the present analysis may reflect a lack of difference or a failure to detect differences based on the small sample sizes or lack of statistical control for likely confounders (age, sex, illness severity or chronicity, SES status, etc.). Analyses are ongoing.
Support
No support was provided for this abstract.
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