Metabolic syndrome and exaggerated blood pressure response to exercise in newly diagnosed hypertensive patients

Eur J Prev Cardiol. 2012 Jun;19(3):467-73. doi: 10.1177/1741826711410819. Epub 2011 May 13.

Abstract

Background: Running evidence supports a prognostic value of an exaggerated blood pressure response to exercise (EBPR). The impact of the metabolic syndrome (MS) on EBPR in hypertensive patients has not been investigated.

Design: A cross-sectional study in the setting of an outpatient hypertension clinic.

Methods: In total, 325 non-diabetic patients with newly diagnosed hypertension were divided into two groups based on the presence (n = 95) or absence (n = 230) of the MS as defined with NCEP-ATP III criteria. All subjects underwent ambulatory blood pressure monitoring, echocardiography and exercise treadmill testing.

Results: Hypertensive patients with MS exhibited higher prevalence of EBPR (by 17%, p = 0.002) and peak exercise systolic BP (by 10.4 mmHg, p = 0.001) irrespectively of confounders. Metabolic equivalents were higher in hypertensives with MS (by 0.6 ml/kg/min, p = 0.048), but the difference lost significance after adjusting for confounders, including body mass index. Logistic regression analysis identified the MS as an independent predictor of an EBPR (p = 0.016). Hypertensive patients with MS had a 2.3-fold risk of exhibiting EBPR compared to those without MS. However, individual components of MS altogether as well as each one separately failed to predict EBPR.

Conclusions: Presence of MS in newly diagnosed hypertensive patients is associated with increased peak exercise BP and a higher frequency of EBPR over and above its separate elements.

MeSH terms

  • Adult
  • Aged
  • Blood Pressure Monitoring, Ambulatory
  • Blood Pressure*
  • Chi-Square Distribution
  • Cross-Sectional Studies
  • Echocardiography
  • Exercise Test
  • Exercise*
  • Female
  • Greece / epidemiology
  • Humans
  • Hypertension / diagnosis*
  • Hypertension / epidemiology
  • Hypertension / physiopathology
  • Linear Models
  • Logistic Models
  • Male
  • Metabolic Syndrome / epidemiology*
  • Middle Aged
  • Multivariate Analysis
  • Outpatient Clinics, Hospital
  • Predictive Value of Tests
  • Prevalence
  • Prognosis
  • Risk Assessment
  • Risk Factors