Age, Body Mass Index, and Daytime and Nocturnal Hypoxia as Predictors of Hypertension in Patients With Obstructive Sleep Apnea

J Clin Hypertens (Greenwich). 2016 Feb;18(2):146-52. doi: 10.1111/jch.12645. Epub 2015 Aug 7.

Abstract

A growing body of evidence links obstructive sleep apnea (OSA) with hypertension. The authors performed a retrospective cohort study using the University Hospital of Larissa Sleep Apnea Database (1501 patients) to determine predictors of in-laboratory diagnosed OSA for development of hypertension. Differences in continuous variables were assessed via independent samples t test, whereas discrete variables were compared by Pearson's chi-square test. Multivariate analysis was performed via discriminant function analysis. There were several significant differences between hypertensive and normotensive patients. Age, body mass index, comorbidity, daytime oxygen saturation, and indices of hypoxia during sleep were deemed the most accurate predictors of hypertension, whereas apnea-hypopnea index and desaturation index were not. The single derived discriminant function was statistically significant (Wilk's lambda=0.771, χ(2) =289.070, P<.0001). Daytime and nocturnal hypoxia as consequences of chronic intermittent hypoxia play a central role in OSA-related hypertension and should be further evaluated as possible severity markers in OSA.

MeSH terms

  • Adult
  • Age Factors
  • Aged
  • Body Mass Index
  • Comorbidity
  • Female
  • Greece
  • Humans
  • Hypertension* / diagnosis
  • Hypertension* / etiology
  • Hypertension* / metabolism
  • Hypoxia* / diagnosis
  • Hypoxia* / etiology
  • Hypoxia* / metabolism
  • Male
  • Middle Aged
  • Outcome Assessment, Health Care
  • Oximetry / methods
  • Oxygen Consumption*
  • Polysomnography / methods
  • Predictive Value of Tests
  • Prognosis
  • Retrospective Studies
  • Risk Factors
  • Sleep Apnea, Obstructive* / complications
  • Sleep Apnea, Obstructive* / diagnosis
  • Sleep Apnea, Obstructive* / metabolism
  • Statistics as Topic
  • Time Factors