Sleepiness, Sleep-Disordered Breathing, and Accident Risk Factors in Commercial Vehicle Drivers

Introduction: In patients with acute stroke, part of the acute management entails identifying the risk factors; modifiable or non modifiable. Early recognition of these factors is essential for optimizing therapeutic procedures, especially those with a known effective treatment. In this sense, Sleep Disordered Breathing (SDB) has also been suggested as a modifiable and independent risk factor for stroke as defined by international guidelines and some studies have demonstrated that patients with stroke and particularly Obstructive Sleep Apnea (OSA) have an increased risk of death or new vascular events. Pathogenesis of ischemic stroke in SDB is probably related to worsening of existing cardiovascular risk factors such as hypertension and hypoxia driven cardiac arrhythmia leading to higher prevalence of ischemic stroke in patients with sleep disordered breathing disease. Despite strong evidence linking SDB to ischemic stroke, evaluation for SDB is rarely performed in patients presenting with an acute ischemic stroke. Hypothesis: Evaluation of SDB is rarely performed in patients presenting with acute ischemic stroke. Methods: We performed a retrospective review of all patients above the age of 18 who were admitted to the acute stroke service at University Hospital July 2014 to December 2014. Demographic data, etiology of stroke as identified per TOAST criteria, modifiable risk factors, presenting NIHSS and frequency of testing for SDB and their results were collected. The data was consolidated and tabulated by using STATA version 14. Results: Total of 240 patients satisfied our inclusion criteria. Only 24 patients ie 10% of those who satisfied our inclusion criteria received evaluation for SDB. Out of those evaluated, 62.5% ie 15 patients out of 24 patients had findings concerning for significant desaturation. Only 2 providers out of 8 stroke physicians ie 25% tested for SDB in more than 5 patients. Conclusions: Our observations highlight the paucity in evaluation for SDB in acute ischemic stroke in a tertiary care setting. Being a modifiable risk factor, greater emphasis must be placed on evaluation for SDB in patients in patients with acute stroke. Education must be provided to all patients and providers regarding identification of these factors.

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Abstract P249: Incident Sleep-Disordered Breathing is Associated with Obesity: Penn State Child Cohort

Circulation ◽

10.1161/circ.127.suppl_12.ap249 ◽

2013 ◽

Vol 127 (suppl_12) ◽

Author(s):

Edward O Bixler ◽

Alexandros N Vgontzas ◽

Duanping Liao ◽

Susan Calhoun ◽

Julio Fernandez-Mendoza ◽

...

Keyword(s):

Risk Factors ◽

Logistic Regression ◽

Sleep Disordered Breathing ◽

Population Sample ◽

Population Based ◽

Penn State ◽

Potential Risk Factors ◽

State Child ◽

Disordered Breathing

Objectives: To study the epidemiology of sleep-disordered breathing (SDB) in adolescents, which has received little attention. Methods: The Penn State Child Cohort (PSCC) is a representative general population sample of 700 children aged 5-12 years. Our preliminary results are based on an average 8 year follow up of the initial 300 prospective subjects (~43%) from this ongoing cohort study. A logistic regression was used to assess the association between potential risk factors and incident SDB. Results: The mean age at the 8-year follow up examination was 17.2 ± 0.1 years, with an average BMI percentile of 66.6 ± 1.6 and 56.5% boys. At baseline 1.5% of this subsample had SDB, defined by Apnea Hypopnia Index (AHI > 5 /hour). Surprisingly, there was no persistence of SDB. Eight-year incident SDB was 10.5%. The average AHI in those with incident SDB was 12.7 with a maximum of 92.4. Incident SDB was similar for girls (7.8%) and boys (12.7%). Those with SDB were older than those without (18.7 vs 17.0 years, P<0.001) and girls with SDB were older than boys with SDB (20.0 vs 18.0 years, P=0.002). Those with incident SDB tended to have a greater change in BMI percentile (8.2 vs 1.8, P = 0.143) during the follow up and slightly higher minority representation (25.8% vs 21.9%, P=0.655). A logistic regression model identified three variables that were associated with incident SDB, controlling for baseline AHI: age (OR = 1.5 (1.3, 1.9) P<0.001), male (OR= 2.5 (1.11,10.00) P=0.021), and [[Unable to Display Character: ∆]]BMIPCT (OR=1.2(1.02, 1.5) P=0.032). Conclusion: In this population based sample of adolescents, the 8-year incidence of SDB was high (10.5%), whereas childhood SDB did not persist into adolescence. Further, the results indicate that risk factors for incident SDB in adolescents are age, male and the development of obesity.

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Sleep disordered breathing at the extremes of age: the elderly

Breathe ◽

10.1183/20734735.003216 ◽

2016 ◽

Vol 12 (1) ◽

pp. 50-60 ◽

Cited By ~ 20

Author(s):

Alison McMillan ◽

Mary J. Morrell

Keyword(s):

Risk Factors ◽

Older People ◽

Sleep Disordered Breathing ◽

Treatment Options ◽

Current Evidence ◽

List Type ◽

Pressure Therapy ◽

Age Related ◽

The Impact ◽

Disordered Breathing

Key pointsSleep disordered breathing (SDB) is common and its prevalence increases with age. Despite this high prevalence, SDB is frequently unrecognised and undiagnosed in older people.There is accumulating evidence that SDB in older people is associated with worsening cardio- cerebrovascular, cognitive and functional outcomes.There is now good evidence to support the use of continuous positive airway pressure therapy in older patients with symptomatic SDB.Educational aimsTo highlight the prevalence and presentation of sleep disordered breathing (SDB) in older people.To inform readers about the risk factors for SDB in older people.To explore the impact of SDB in older people.To introduce current evidence based treatment options for SDB in older people.Sleep disordered breathing (SBD) increases in prevalence as we age, most likely due to physiological and physical changes that occur with ageing. Additionally, SDB is associated with comorbidity and its subsequent polypharmacy, which may increase with increasing age. Finally, the increased prevalence of SDB is intrinsically linked to the obesity epidemic. SDB is associated with serious outcomes in younger people and, likewise, older people. Thus, identification, diagnosis and treatment of SDB is important irrelevant of age. This article reviews the age-related changes contributing to SDB, the epidemiology and the risk factors for SDB in older people, the association of SDB with adverse outcomes, and diagnostic and treatment options for this population.

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