Association of hypoglossal nerve stimulator response with machine learning identified negative effort dependence patterns.

Becky Lou¹, Sam Rusk², Yoav N Nygate², Luis Quintero¹, Oki Ishikawa³, Mark Shikowitz⁴, Harly Greenberg¹

¹Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Donald and Barbara Zucker School of Medicine at Hofstra-Northwell, 410 Lakeville Road, Suite 107, New Hyde Park, NY, 11042, USA.

²EnsoData Research, EnsoData, Madison, WI, USA.

³Division of Pulmonary, Critical Care and Sleep Medicine, Department of Medicine, Donald and Barbara Zucker School of Medicine at Hofstra-Northwell, 410 Lakeville Road, Suite 107, New Hyde Park, NY, 11042, USA. oishikawa@northwell.edu.

⁴Department of Otolaryngology, Head and Neck Center of Surgery, Zucker Sinus Center - Long Island Jewish Medical Center, Donald and Barbara Zucker School of Medicine at Hofstra-Northwell, New Hyde Park, NY, USA.

PubMed PMC DOI PDF

Abstract

BACKGROUND: Hypoglossal nerve stimulator (HGNS) is a therapeutic option for moderate to severe obstructive sleep apnea (OSA). Improved patient selection criteria are needed to target those most likely to benefit. We hypothesized that the pattern of negative effort dependence (NED) on inspiratory flow limited waveforms recorded during sleep, which has been correlated with the site of upper airway c…

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