Personalized Treatment for Obstructive Sleep Apnea: Beyond CPAP

Author:

Van Daele Margot12,Smolders Yannick12,Van Loo Dorine12,Bultynck Charlotte1ORCID,Verbraecken Johan34ORCID,Vroegop Anneclaire12ORCID,Lapperre Thérèse45ORCID,Op de Beeck Sara12ORCID,Dieltjens Marijke12,Vanderveken Olivier M.123

Affiliation:

1. Department of Otorhinolaryngology, Head and Neck Surgery, Antwerp University Hospital, 2650 Edegem, Belgium

2. Department of Translational Neurosciences, Faculty of Medicine and Health Sciences, University of Antwerp, 2000 Antwerp, Belgium

3. Multidisciplinary Sleep Disorders Centre, Antwerp University Hospital, 2650 Edegem, Belgium

4. Department of Respiratory Medicine, Antwerp University Hospital, 2650 Edegem, Belgium

5. Laboratory of Experimental Medicine and Pediatrics, University of Antwerp, 2000 Antwerp, Belgium

Abstract

Obstructive sleep apnea (OSA) is a sleep disorder characterized by repetitive episodes of partial or complete obstruction of the upper airway during sleep. Continuous positive airway pressure (CPAP) is a method used as a first-line treatment for obstructive sleep apnea (OSA). However, intolerance and resistance to CPAP can limit its long-term effectiveness. Alternative treatments are available, such as Mandibular Advancement Devices (MADs), positional therapy, upper airway surgery, and maxillomandibular osteotomy. However, often less efficient in reducing the apnea-hypopnea index, the higher tolerance of and compliance to alternative treatment has resulted in the adequate treatment of OSA in CPAP-intolerant patients. This paper describes the protocol of a prospective single-center cohort study including adult patients with moderate to severe OSA (15 events/h ≤ apnea-hypopnea index (AHI) < 65 events/h) that failed to comply with CPAP therapy. Selected patients will be invited to the clinic to explore alternative treatment options where DISE will be a first step in further identifying upper airway collapse during sleep. By exploring alternative treatment options in CPAP-intolerant patients and systematically documenting their treatment paths, an algorithm can be defined to better guide patients towards personalized treatment for OSA. The follow-up is aimed at 5 years with an inclusion of 170 patients per year, including a drop-out rate of 15%. By leveraging a real-world database, this study aims to bridge the gap between research and clinical practice, facilitating the development of evidence-based guidelines and personalized treatment algorithms for CPAP-intolerant patients.

Publisher

MDPI AG

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