Risk Factor Variability and Cardiovascular Outcome: JACC Review Topic of the Week

Franz H Messerli1, Louis Hofstetter2, Stefano F Rimoldi2

  • 1Department of Cardiology and Clinical Research, University Hospital, Bern, Switzerland; Jagiellonian University, Krakow, Poland; Division of Cardiology, Mount Sinai Health Medical Center, Icahn School of Medicine, New York, New York.

Insights

Visit-to-visit variability in cardiovascular risk factors like blood pressure and cholesterol is a significant predictor of adverse health outcomes, independent of average levels. This highlights the importance of monitoring risk factor fluctuations over time for better cardiovascular risk assessment.

Area of Science:

  • Cardiovascular Medicine
  • Clinical Risk Assessment
  • Biostatistics

Background:

  • Intraindividual visit-to-visit variability of cardiovascular risk factors was previously overlooked.
  • Emerging evidence suggests this variability is a critical, independent risk factor.

Purpose of the Study:

  • To highlight the significance of visit-to-visit variability in cardiovascular risk factors.
  • To emphasize the need to consider variability alongside average levels in risk assessment.

Main Methods:

  • Review of existing literature demonstrating the impact of variability in blood pressure, cholesterol, glycemia, and body weight.
  • Analysis of associations between risk factor variability and adverse cardiovascular and all-cause outcomes.

Main Results:

  • Visit-to-visit blood pressure variability independently predicts stroke.
  • Variability in cholesterol, glycemia, and body weight also increases risk independently of average values.
  • Risk factor variability predicts mortality, stroke, coronary artery disease, heart failure, renal disease, and dementia.

Conclusions:

  • Cardiovascular risk factors should be assessed by both sustained elevation and visit-to-visit variability.
  • Monitoring risk factor variability is crucial for comprehensive cardiovascular risk stratification.
  • Heart rate variability is a notable exception requiring distinct interpretation.

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