[Presentation of OCTAVE II. A current epidemiologic study in France of the added prognostic value of ambulatory blood pressure monitoring]

Arch Mal Coeur Vaiss. 1996 Nov;89(11):1381-8.
[Article in French]

Abstract

The diagnosis of "white coat" hypertension, the measurement of indices of 24 hour variability of the blood pressure and increased accuracy of blood pressure estimation are some of the advantages of ambulatory blood pressure monitoring. They are part of the reason why the method has been adopted by ambulatory blood pressure monitoring is really useful in the treatment of hypertension is fragile: although the correlation with target organ complications seems better than with conventional blood pressure measurement, it remains to be shown that this information helps to predict and then improve the prognosis of hypertension. With respect to this first stage of demonstration of the added prognostic value attributable to ambulatory blood pressure monitoring, several studies have been undertaken, one of which is OCTAVE II. The goals were to analyse the predictive values of the indices obtained by ambulatory blood pressure monitoring in terms of cardiovascular morbidity and mortality after having described the correlations between these indices and the characteristics of individual patients. Two hundred and sixty six cardiologists, members of the French College of Cardiology, included 3,569 patients in whom an indication for ambulatory blood pressure monitoring had been retained, over a period of 10 months in 1991. These patients were 56.4 year old on average, with 52.6% men, hypertensive or not. The 5 year follow-up should end at the beginning of 1997.

Publication types

  • Clinical Trial
  • English Abstract
  • Multicenter Study

MeSH terms

  • Blood Pressure
  • Blood Pressure Monitoring, Ambulatory*
  • Female
  • France / epidemiology
  • Health Surveys*
  • Humans
  • Hypertension / diagnosis
  • Hypertension / epidemiology
  • Male
  • Middle Aged
  • Predictive Value of Tests
  • Prognosis
  • Risk Factors