O082 A new model of care for perioperative OSA management

Abstract Background Obstructive Sleep Apnoea (OSA) is a common condition that is associated with poorer perioperative outcomes including higher rates of cardiac complications, an increased risk of intensive care admissions and a longer hospital length of stay. While there is growing evidence in support of a perioperative sleep service, there is limited published data on an effective model of care. Monash Health has established a perioperative sleep clinic with the goal to identify patients with high probability of moderate/severe OSA to improve perioperative OSA workup and management without causing surgical delays. Methods This retrospective study includes all patients reviewed in the perioperative sleep clinic over 8 months (60 patients). We reviewed patient characteristics, scores from screening tools and severity of OSA. Time from referral to initial clinic review, evaluation with polysomnography and subsequent surgery was measured. Progress to date Data collection to date shows a patient population with a median age of 63 years and BMI of 37kg/m2. Over 90% of new referrals were for patients awaiting category 2 (90 days) or 3 surgeries. The median time from clinic referral to polysomnography was 45 days. A new diagnosis of moderate/severe OSA was made in 52% of patients tested. Intended outcome and impact Despite growing evidence in support of perioperative OSA services, there is limited published data in support of a specific model of care. This study aims to provide a detailed overview of a newly established service in an Australian setting that will examine screening and diagnostic rates, treatment effectiveness and postoperative outcomes.

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Publication Details

Journal
SLEEP Advances
Published
2024-10-01
DOI
https://doi.org/10.1093/sleepadvances/zpae070.082
Primary Topic
Obstructive Sleep Apnea Research
Type
article
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article

O082 A new model of care for perioperative OSA management

Joan Roberts, Darren Mansfield
SLEEP Advances
Obstructive Sleep Apnea Research
article

O082 A new model of care for perioperative OSA management

Joan Roberts, Darren Mansfield
article en

Abstract

Abstract Background Obstructive Sleep Apnoea (OSA) is a common condition that is associated with poorer perioperative outcomes including higher rates of cardiac complications, an increased risk of intensive care admissions and a longer hospital length of stay. While there is growing evidence in support of a perioperative sleep service, there is limited published data on an effective model of care. Monash Health has established a perioperative sleep clinic with the goal to identify patients with high probability of moderate/severe OSA to improve perioperative OSA workup and management without causing surgical delays. Methods This retrospective study includes all patients reviewed in the perioperative sleep clinic over 8 months (60 patients). We reviewed patient characteristics, scores from screening tools and severity of OSA. Time from referral to initial clinic review, evaluation with polysomnography and subsequent surgery was measured. Progress to date Data collection to date shows a patient population with a median age of 63 years and BMI of 37kg/m2. Over 90% of new referrals were for patients awaiting category 2 (90 days) or 3 surgeries. The median time from clinic referral to polysomnography was 45 days. A new diagnosis of moderate/severe OSA was made in 52% of patients tested. Intended outcome and impact Despite growing evidence in support of perioperative OSA services, there is limited published data in support of a specific model of care. This study aims to provide a detailed overview of a newly established service in an Australian setting that will examine screening and diagnostic rates, treatment effectiveness and postoperative outcomes.

SLEEP AdvancesVol. 5(Supplement_1)
Monash Health (AU)
No poverty
Openalex Percentile: Top 68%
Obstructive Sleep Apnea Research
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O082 A new model of care for perioperative OSA management — Joan Roberts, Darren Mansfield · SLEEP Advances (2024) | TGRS Research Map | TGRS