Polysomnographic phenotypes and their cardiovascular implications in obstructive sleep apnoea

2017231 citationsJournal Articlebronze Open Access

Authors

Andrey Zinchuk · Yale University

Sangchoon Jeon · Yale University

Brian B. Koo · Yale University

Xiting Yan · Yale University

Dawn M. Bravata · Richard L. Roudebush VA Medical Center

Qin Li · Yale University

Bernardo J. Selim · Mayo Clinic

Abstract

Among patients referred for OSA evaluation, routine polysomnographic data can identify physiological phenotypes that capture risk of adverse cardiovascular outcomes otherwise missed by conventional OSA severity classification.

Topics & Keywords

Obstructive Sleep Apnea Research Neuroscience of respiration and sleep Sleep and Wakefulness Research

UN Sustainable Development Goals

No poverty

Publication Details

Published in: Thorax

Volume 73, Issue 5, pp. 472-480

DOI: 10.1136/thoraxjnl-2017-210431

Field-Weighted Citation Impact: 12.60