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Predictive Performance and Optimal Cut-Off Points of Blood Pressure for Identifying Arteriosclerosis among Adults in

Lei Yu1, Jiaxiang Yan1, Chen Yang2

  • 1Faculty of Sport Science, Research Academy of Grand Health, Ningbo University, Ningbo 315211, China.

International Journal of Environmental Research and Public Health
|September 10, 2021
PubMed

Insights

Blood pressure effectively predicts arteriosclerosis in Chinese adults, with optimal cut-off points identified. Women and younger individuals show higher predictive accuracy for detecting this vascular condition.

Area of Science:

  • Cardiovascular Medicine
  • Gerontology
  • Public Health

Background:

  • Arteriosclerosis is a significant health concern, particularly in aging populations.
  • Early identification of arteriosclerosis is crucial for preventing cardiovascular events.
  • Blood pressure is a modifiable risk factor associated with vascular health.

Purpose of the Study:

  • To evaluate the predictive capability of blood pressure for arteriosclerosis in eastern Chinese adults.
  • To establish optimal blood pressure thresholds for identifying arteriosclerosis.
  • To investigate demographic variations in predictive performance.

Main Methods:

  • Utilized brachial-ankle pulse wave velocity (baPWV) to assess arteriosclerosis.
  • Employed receiver operating characteristic (ROC) analysis to determine predictive performance (Area Under the Curve - AUC).
  • Applied logistic regression and Youden's index to identify optimal blood pressure cut-off points.

Main Results:

  • Blood pressure demonstrated high predictive performance for arteriosclerosis (SBP AUC: 0.868, DBP AUC: 0.835).
  • Predictive performance was significantly higher in women compared to men and in younger age groups (18-39.9 years).
  • Optimal cut-off points for SBP/DBP were established as 123.5/73.5 mmHg overall, with variations by sex and age.

Conclusions:

  • Blood pressure is a valuable non-invasive marker for predicting arteriosclerosis in eastern Chinese adults.
  • Specific optimal cut-off points can aid in early detection and risk stratification.
  • Sex and age influence the predictive accuracy and thresholds for arteriosclerosis identification.

Keywords:
arteriosclerosisblood pressurebrachial-ankle pulse wave velocityoptimal cut-off point

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