osahs in elderly patients with insomnia
TRANSCRIPT
OSAHS IN ELDERLY PATIENTS WITH INSOMNIAPilot studyCéline DegrandeJustine DegrandeJustine MestdaghAstrid VerschaeveSupervisor Prof. Dr. Degryse
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Goal of the Pilot Study
• Prevalence of OSAHS in elderly patients with insomnia
• Validity and practical feasibility of questionnaires
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A little quiz…
• How often do you think older patients complain of sleep disturbances such as insomnia?o 25%o 50%o 75%o 90%o I don’t know
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Background: Insomnia• Dissatisfaction with either duration or quality
of sleep.
• 3 fundamental criteria• recurrent• despite adequate opportunities for sleep.• impairment of daytime functioning.
• Most common comorbidities:• psychiatric illness • sleep disordered breathing: OSAHS
• Associated with older age – underdiagnosis:• ‘Ageism’• mental illnesses – cognitive disorders• threshold consulting GP• burden of PSG
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Background: OSAHS• Prevalence:
o 30-60 years:• ♂: 4%• ♀: 2%
o ↑ prevalence with age: • ♂: 28-62% • ♀: 19,5-60%
• Symptoms:o excessive daytime sleepinesso snoring
• Risk factors: o obesity, male gender, ageing, familial
history, sedating medication,…
• Comorbidities: o cardiovascular o metabolic o neurobehavioral
• Diagnosis:o PSG vs portable device (Brizzy®)
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Background: Questionnaires
• Insomnia:o ISI
• Sleep quality: o PSQIo ESS
• OSAHS:o BQo STOP-BANG
• Snoring, Tired, Observed, blood Pressure, BMI, Age, Neck circumference, Gender
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Methods
• Exclusion criteriao terminal patients (life expectancy < 3 months)o diagnosis of dementia (MMSE < 24) o acute precipitating factor for insomnia (physical or
psychological) o Already diagnosed with OSAHS by PSG
• Patients already taking sleep medication NOT excluded!
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Methods
• Home visito Anamnesis
• History patient• CV RF (smoking, alcohol, familial history,
hypertension, hypercholesterolemia)• Medication use
o Clinical examination• Height, weight, neck circumference,
abdominal circumference, blood pressure,
heart rhythm
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Results:Sensitivity, Specificity, PPV, NPV, AUC and p-value of parameters in Brizzy® reports using optimal cut-off values
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Discussion
• Strenghts o Uniformo First step in an unexplored domain
• Limitations o Sample sizeo Brizzy as golden standard o Interobserver variability
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Discussion
• Underdiagnosis
• Case-finding protocol and ISI as screening tool highly suitable
• Patient characteristics
• RDI – ODI – CT SpO2 < 90%
• Brizzy as a valid ambulant alternative
• ESS – BQ valid questionnaires with optimal cut-off
Conclusion
• OSAHS: severe underdiagnosis • Brizzy as a practical and feasible alternative • Questionnaires in screening
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