Relative and Combined Prognostic Importance of On-Treatment Mean and Visit-to-Visit Blood Pressure Variability in

Giuseppe Mancia1, Helmut Schumacher2, Michael Böhm2

  • 1From the University of Milano-Bicocca and IRCCS Istituto Auxologico Italiano, Italy (G.M.); Statistical Consultant, Ingelheim, Germany (H.S.); Klinik für innere Medizin III, Universitätsklinikum des Saarlandes, Homburg/Saar, Germany (M.B.); Hypertension Clinic, Department of Internal Medicine, Hospital Clinico Universitario de Valencia INCLIVA, University of Valencia and CIBERObn, ISCIII, Madrid, Spain (J.R.); Nephrologie und Hypertensiologie, Universitätsklinikum Erlangen, Erlangen, Germany (R.E.S.); Struttura Complessa di Medicina, Ospedale di Assisi, Assisi (PG), Italy (P.V.); CV Medicine, John Radcliffe Hospital, Oxford, United Kingdom (P.S.); and Population Health Research Institute, McMaster University, Hamilton, Canada (K.T., S.Y.). Giuseppe.mancia@unimib.it.

Insights

Mean on-treatment systolic blood pressure (SBP) better predicts cardiovascular events than SBP variability. Combining both measures improves risk prediction for cardiovascular events, aiding treatment assessment.

Area of Science:

  • Cardiovascular Medicine
  • Clinical Trials
  • Hypertension Research

Background:

  • Systolic blood pressure (SBP) variability is increasingly recognized as a potential risk factor for cardiovascular events.
  • Previous studies have yielded conflicting results regarding the prognostic value of SBP variability compared to mean SBP.

Purpose of the Study:

  • To investigate the prognostic value of on-treatment visit-to-visit SBP variability versus mean SBP for cardiovascular events.
  • To assess whether combining both measures improves cardiovascular risk prediction.

Main Methods:

  • Analysis of 28,790 patients from the ONTARGET and TRANSCEND trials.
  • Systolic blood pressure variability measured by coefficient of variation (CV); mean SBP also calculated.
  • Cox proportional hazards models used to assess risk, adjusting for covariates.

Main Results:

  • Mean on-treatment SBP was a statistically significant predictor of cardiovascular events (P<0.0001), unlike SBP variability (P=0.12).
  • SBP variability showed a relationship with fatal events but not myocardial infarction or stroke.
  • Combined use of mean SBP and SBP variability improved outcome prediction (P<0.0001).

Conclusions:

  • On-treatment mean SBP provides a better prediction of cardiovascular risk than visit-to-visit SBP variability.
  • Combined assessment of mean SBP and its variability offers a more precise cardiovascular risk estimate and may refine treatment effect evaluation.

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