A Programming Algorithm for Optimizing Hypoglossal Nerve Stimulator Respiratory Entrainment

David T Kent; Holly A Budnick; Katherine K Green; Phillip Huyett; Amy E Schell; Maria V Suurna

doi:10.1002/lary.31905

A Programming Algorithm for Optimizing Hypoglossal Nerve Stimulator Respiratory Entrainment

Laryngoscope. 2024 Nov 8. doi: 10.1002/lary.31905. Online ahead of print.

Authors

David T Kent¹, Holly A Budnick¹, Katherine K Green², Phillip Huyett³, Amy E Schell², Maria V Suurna⁴

Affiliations

¹ Department of Otolaryngology-Head and Neck Surgery, Vanderbilt University Medical Center, Nashville, Tennessee, U.S.A.
² Department of Otolaryngology-Head and Neck Surgery, University of Colorado School of Medicine, Aurora, Colorado, U.S.A.
³ Department of Otolaryngology-Head and Neck Surgery, Massachusetts Eye and Ear, Harvard Medical School, Boston, Massachusetts, U.S.A.
⁴ Department of Otolaryngology-Head & Neck Surgery, University of Miami, Miami, Florida, U.S.A.

PMID: 39513422
DOI: 10.1002/lary.31905

Abstract

Hypoglossal nerve stimulation (HNS) is a surgical treatment for obstructive sleep apnea that activates in a phasic manner. The most widely available HNS device has respiratory entrainment programming settings that are not widely utilized. We present an algorithm for office-based respiratory sensing adjustments to optimize HNS respiratory entrainment. Laryngoscope, 2024.

Keywords: allergy/rhinology; clinical; obstructive sleep apnea; sleep apnea; sleep medicine; surgical treatment of obstructive sleep apnea.

Publication types

Case Reports

Grants and funding

R01HL161635/National Heart and Lung Institute