Point-of-care-Ultrasound for Sleep Apnea

Rakesh Sondekoppam Vijayashankar

Status: Completed

Conditions: Sleep Apnea, Obstructive

Study type: Observational

Funder types: Other

Identifiers

NCT04443582

202001068

Details and patient eligibility

About

Patients with obstructive sleep apnea (OSA) are at risk for respiratory dysfunction in the perioperative environment. The study is designed to evaluate if point-of-care-ultrasound (POCUS) measurements of upper airway anatomy may identify patients with OSA and their severity.

Full description

Obstructive sleep apnea (OSA) is characterized by recurrent collapse of the pharyngeal airway during sleep, resulting in substantially reduced (hypopnea) or complete cessation (apnea) of airflow despite ongoing breathing efforts. OSA has long been recognized as a heterogeneous disorder with potentially multiple contributing pathophysiological causes but with significant impact to perioperative morbidity. Various OSA phenotypes exist but, the predominant feature is a narrow and collapsible upper airway anatomy and is an interplay between pharyngeal soft tissue, genioglossus muscle tone and the bony anatomy and accounts for up to two-thirds of the variation in the AHI. Identification of moderate-severe OSA is crucial to prevent potential life-threatening cardiopulmonary complications perioperatively.(1) However, a large proportion of patients with OSA remain undiagnosed at the time of surgery.(2) Current screening tools are mainly questionnaire based and are largely sensitive but not specific (3) resulting in many false positives, unnecessary increased resource utilization, cost burden, and legal implications. Gold standard laboratory polysomnography(PSG) study is expensive and not widely available. Point-of-care ultrasound (POCUS) is a readily available, portable, noninvasive tool that has been used for airway evaluation and may be useful for OSA screening.(4-8) Study investigators want to evaluate the various POCUS measures of OSA in the perioperative population and correlate these measurements with the PSG based severity of OSA (based on apnea-hypopnea index -AHI) to find out the best measure or a combination of measures to diagnose the incidence and severity of OSA.

Enrollment: 140 patients

Sex: All

Ages: 18 to 85 years old

Volunteers: No Healthy Volunteers

Inclusion criteria

• Patients of either gender
• Age 18 through 85
• History of previous sleep study polysomnography (PSG)

Exclusion criteria

• No prior sleep study
• History of central sleep apnea
• Craniofacial/oropharyngeal malformations
• Oropharyngeal surgery since the last sleep study
• Ear/Nose/Throat tumor
• History of Ear/Nose/Throat surgery
• Inability to consent
• Non-English speaking