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Approaches for Evaluating Visit-to-Visit Blood Pressure Variability as a Cardiovascular Disease Risk Factor: A

Mifetika Lukitasari1, Jitendra Jonnagaddala1, Siaw-Teng Liaw1

  • 1School of Population Health, UNSW Sydney, NSW 2052, Australia.

Studies in Health Technology and Informatics
|August 23, 2024
PubMed

Insights

Visit-to-visit blood pressure variability (BPV) poses a significant cardiovascular risk, yet it is often overlooked in clinical practice. This review examines methods for estimating BPV, highlighting a lack of consensus in measurement approaches.

Area of Science:

  • Cardiology
  • Clinical Research
  • Health Informatics

Background:

  • Visit-to-visit blood pressure variability (BPV) is a recognized independent risk factor for cardiovascular disease (CVD) and mortality.
  • Clinicians often underestimate BPV, treating serial measurements as random fluctuations rather than significant indicators.

Purpose of the Study:

  • To review methodologies for estimating BPV, including metrics, measurement frequency, and observation durations.
  • To compare BPV assessment using electronic health record (EHR) data versus non-EHR data.

Main Methods:

  • Scoping review of studies assessing BPV.
  • Comparison of methodologies employed in EHR-based and non-EHR-based studies.
  • Analysis of metrics, measurement protocols, and follow-up periods for BPV estimation.

Main Results:

  • Little to no consensus exists on the specific metrics used for BPV estimation, regardless of data source (EHR or non-EHR).
  • Studies using non-EHR data generally adhered to stricter blood pressure measurement protocols compared to EHR-based studies.
  • Both EHR and non-EHR study groups utilized comparable methodologies for the actual estimation of BPV.

Conclusions:

  • Standardization of BPV metrics and measurement protocols is needed for accurate clinical assessment.
  • Further research is required to optimize BPV estimation methods, particularly within EHR systems, to improve CVD risk prediction and patient outcomes.

Keywords:
CVD riskblood pressure assessmentblood pressure variabilityelectronic health records

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