Impact of obstructive sleep apnea and hypertension on left ventricular hypertrophy in Japanese patients View Full Text


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Article Info

DATE

2016-12-01

AUTHORS

Hiromitsu Sekizuka, Naohiko Osada, Yoshihiro J Akashi

ABSTRACT

The incidence of cardiovascular disease and mortality rates are high among patients with left ventricular hypertrophy (LVH). Obstructive sleep apnea (OSA) has been reported to increase left ventricular mass (LVM) and cause LVH. The prevalence of hypertension, a major cause of increased LVM, is high in OSA; however, it is still unknown whether OSA is an independent factor that increases LVM in addition to triggering LVH. This study investigated out-of-office blood pressure (BP) via ambulatory BP monitoring (ABPM) in patients with OSA diagnosed by polysomnography (PSG) and sought to determine the effects of OSA and hypertension on LVM. A total of 432 patients with OSA underwent ABPM and echocardiography. These patients were stratified into four groups according to their left ventricular mass index (LVMI) quartiles, and the component factors influencing LVMI, such as patient background, sleep data and all-day BP data, were analyzed. This study included 356 men and 76 women. The mean age was 54.6±13.2 years, the mean body mass index was 26.7±4.6 kg m−2 and the mean apnea-hypopnea index (AHI) was 37.9±22.5. Multivariate analysis indicated that antihypertensive agent use (β=0.143, P=0.002), an AHI ⩾15/h (β=0.100, P=0.045) and 24-h systolic BP (β=0.252, P<0.001) were significant independent factors for increased LVM. The significant LVMI component factors in OSA patients were an AHI ⩾15/h and 24-h systolic BP. The results of this study demonstrated that both elevated BP and OSA were independently associated with increased LVM. More... »

PAGES

477-482

References to SciGraph publications

  • 2007-02. Masked Nocturnal Hypertension and Target Organ Damage in Hypertensives with Well-Controlled Self-Measured Home Blood Pressure in HYPERTENSION RESEARCH
  • 2009-05-22. Obstructive sleep apnea syndrome and hypertension: mechanism of the linkage and 24-h blood pressure control in HYPERTENSION RESEARCH
  • 2009-06-04. Obstructive sleep apnea syndrome and hypertension: ambulatory blood pressure in HYPERTENSION RESEARCH
  • 2014-04-07. The Japanese Society of Hypertension Guidelines for the Management of Hypertension (JSH 2014) in HYPERTENSION RESEARCH
  • 2010-10-21. Relationship between chronic kidney disease and sleep blood pressure in patients with sleep apnea syndrome in HYPERTENSION RESEARCH
  • 2013-03-21. Proposal of a new strategy for ambulatory blood pressure profile-based management of resistant hypertension in the era of renal denervation in HYPERTENSION RESEARCH
  • 2013-08-15. Nifedipine controlled-release 40 mg b.i.d. in Japanese patients with essential hypertension who responded insufficiently to nifedipine controlled-release 40 mg q.d.: a phase III, randomized, double-blind and parallel-group study in HYPERTENSION RESEARCH
  • 2004-07-29. Left ventricular and carotid structure in untreated, uncomplicated essential hypertension: results from the Assessment Prognostic Risk Observational Survey (APROS) in JOURNAL OF HUMAN HYPERTENSION
  • 2014-05-08. Obstructive sleep apnea syndrome as a cause of resistant hypertension in HYPERTENSION RESEARCH
  • 2013-07-04. Nighttime vs. daytime blood pressure as a predictor of changes in left ventricular mass in hypertensive subjects in HYPERTENSION RESEARCH
  • 2016-02-18. Hypertension and obstructive sleep apnea in HYPERTENSION RESEARCH
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    http://scigraph.springernature.com/pub.10.1038/hr.2016.170

    DOI

    http://dx.doi.org/10.1038/hr.2016.170

    DIMENSIONS

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    PUBMED

    https://www.ncbi.nlm.nih.gov/pubmed/27904155


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