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Cardiovascular morbidity and mortality and left ventricular geometric patterns in hypertensive patients treated in

Francisco J Tovillas-Morán1, Edurne Zabaleta-del-Olmo, Antoni Dalfó-Baqué

  • 1Equipo de Atención Primaria Martí i Julià, 08940 Cornellà, Barcelona, Spain. javiertovillas@yahoo.es

Revista Espanola De Cardiologia
|March 10, 2009
PubMed

Insights

In hypertensive patients, left ventricular geometric patterns did not influence major adverse cardiovascular events (MACEs). Only age and diabetes were significant risk factors for MACEs in this primary care study.

Area of Science:

  • Cardiology
  • Hypertension Research
  • Primary Care Medicine

Background:

  • Left ventricular (LV) geometric patterns are known to influence cardiovascular risk in hospital settings.
  • The prognostic significance of LV geometry in hypertensive patients within a primary care context remains less understood.

Purpose of the Study:

  • To estimate the risk of major adverse cardiovascular events (MACEs) in hypertensive patients managed in primary care.
  • To investigate the association between different left ventricular geometric patterns and MACE risk.

Main Methods:

  • A 12-year follow-up study of 265 hypertensive subjects in primary care.
  • Exclusion criteria included pre-existing cardiovascular disease, secondary hypertension, or ECG abnormalities.
  • LV geometric patterns were classified; MACEs included ischemic heart disease, heart failure, stroke, peripheral vascular disease, arrhythmia, or cardiovascular death. Data analyzed using life-table and Cox regression.

Main Results:

  • The cumulative survival rate was 56.3% over 12 years.
  • The incidence of MACEs was 4.67 per 100 subject-years.
  • No significant association was found between LV geometric patterns and MACE incidence (P=.889). Age and diabetes at baseline were the only predictors of MACEs.

Conclusions:

  • In this primary care cohort of hypertensive patients, LV geometric patterns were not associated with MACE risk.
  • Age and the presence of diabetes at study entry were identified as significant independent predictors of MACEs.
Abstract

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