A comparison of cardiovascular disease associations of time-domain oximetry parameters in sleep apnoea cases from the Sleep Heart Health Study

Annu Int Conf IEEE Eng Med Biol Soc. 2023 Jul:2023:1-4. doi: 10.1109/EMBC40787.2023.10340541.

Abstract

Polysomnograms (PSGs) contain a wealth of physiological information that is routinely recorded but not utilised in sleep studies. Intermittent hypoxia arising from obstructive sleep apnoea (OSA) events is an important risk in the later development of cardiovascular disease (CVD). Analysis of oximetry patterns from PSG studies may enable early assessment of CVD risk. The aim of this study was to compare associations of different time-domain oximetry patterns with incident CVD in OSA patients. All participants with OSA and no pre-existing CVD at baseline or within the first two years of follow-up, were selected from the Sleep Heart Health Study data and used for analysis (N=2878). We examined oximetry parameters that are calculated from desaturation events and from time series analysis and compared them to incident CVD outcomes using proportional hazards regression models adjusted for age, race, smoking, BMI, and sex. Our results show that were no associations between OSA oximetry parameters and incident CVD for OSA patients.

MeSH terms

  • Cardiovascular Diseases* / complications
  • Cardiovascular Diseases* / diagnosis
  • Humans
  • Oximetry / methods
  • Sleep
  • Sleep Apnea Syndromes* / complications
  • Sleep Apnea Syndromes* / diagnosis
  • Sleep Apnea Syndromes* / epidemiology
  • Sleep Apnea, Obstructive* / complications
  • Sleep Apnea, Obstructive* / diagnosis
  • Sleep Apnea, Obstructive* / epidemiology