Does the reduction in systolic blood pressure alone explain the regression of left ventricular hypertrophy?

P Verdecchia1, F Angeli, R Gattobigio

  • 1Department of Cardiovascular Disease, Hospital R. Silvestrini, Perugia, Italy. verdec@tin.it

Insights

Systolic blood pressure (SBP) is the primary driver of left ventricular hypertrophy (LVH) regression in hypertension. Lowering SBP effectively reduces LVH, independent of diastolic blood pressure or pulse pressure changes.

Area of Science:

  • Cardiology
  • Hypertension Research
  • Clinical Medicine

Background:

  • Left ventricular hypertrophy (LVH) is a significant complication of hypertension.
  • Systolic blood pressure (SBP) influences LVH development and regression.
  • Comparative data on BP components' impact on LVH regression are limited.

Purpose of the Study:

  • To assess the comparative impact of different blood pressure (BP) components on left ventricular mass (LVM) regression in hypertensive patients.
  • To identify the independent determinant of LVH regression.

Main Methods:

  • Prospective study of 743 hypertensive subjects (Progetto Ipertensione Umbria Monitoraggio Ambulatoriale - PIUMA).
  • Echocardiography and 24-h ambulatory BP monitoring before and after treatment (average 3.9 years).
  • Multivariate linear regression analysis to determine independent predictors of LVM changes.

Main Results:

  • Changes in 24-h SBP, diastolic blood pressure (DBP), and pulse pressure (PP) were associated with LVM changes (r=0.40, 0.33, 0.35 respectively).
  • Clinic BP changes showed weaker associations with LVM changes.
  • 24-h SBP changes were the sole independent determinant of LVM changes (percentage changes in LVM = 0.73 x percentage changes in 24-h SBP - 0.48, P<0.0001).

Conclusions:

  • Systolic blood pressure is the principal determinant of left ventricular hypertrophy regression in hypertensive humans.
  • LVH reduction is primarily driven by SBP reduction, irrespective of DBP or PP changes.
  • Ambulatory SBP monitoring is crucial for assessing LVH regression predictors.

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