International Journal of Cardiology. Cardiovascular Risk and Prevention (Mar 2024)

Estimated pulse wave velocity added additional prognostic information in general population: Evidence from National Health and Nutrition Examination Survey (NHANES) 1999–2018

  • Zhe Zhou,
  • Xiaoling Liu,
  • Wanyong Xian,
  • Yan Wang,
  • Jun Tao,
  • Wenhao Xia

Journal volume & issue
Vol. 20
p. 200233

Abstract

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Background: As an indicator of arterial stiffness, there is controversy over whether estimated pulse wave velocity (ePWV) add additional prognostic information other than cardiovascular risk factors or traditional risk estimation model in general population. Methods: Data from National Health and Nutrition Examination Survey in 1999–2018 was analyzed. Cardiovascular risk factors were collected and Framingham Risk Score (FRS) was calculated. Using all-cause and cardiovascular mortality as outcomes, Cox and restricted cubic spline (RCS) analysis was performed. Receiver operator characteristic (ROC) curves, Harrell's C-statistic and net reclassification index (NRI) analysis were used to assess whether ePWV adds additional predictive value. Results: The association between ePWV and outcomes was independent of cardiovascular risk factors (HR = 1.23 [95%CI 1.23–1.50] per m/s for all-cause mortality, and 1.52 [1.30–1.78] for cardiovascular mortality) and FRS (1.22 [1.12–1.32] for all-cause mortality, and 1.32 [1.10–1.59] for cardiovascular mortality). Except for ePWV and all-cause mortality adjusted by FRS, a liner association was found between ePWV and outcomes. For predictive value, the area under ROC and C-index of the model added with ePWV was higher than the one with FRS or risk factors alone (P < 0.01). The elevated ePWV upgraded 1338456 subjects from high-intermediate to high FRS category, and NRI was 3.61 % and 2.62 % for all-cause and cardiovascular deaths, respectively (all P < 0.001). Conclusions: In general population, the present study demonstrated the association between ePWV and all-cause, cardiovascular mortality is independent of cardiovascular risk factors and traditional risk estimated model. ePWV also added additional information to them in predicting clinical outcomes.

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