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Understanding Vascular Age: Are Clinical scoring systems useful for Early Vascular Aging Syndrome Prediction ?

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Abstract

Introduction

Early vascular aging syndrome (EVAS) is defined as increased arterial stiffness compared to age and sex matched patients, EVAS is measured by pulse wave velocity (PWV).

Aim

In our study we aim to identify in patients with high risk of EVAS using the CHADS2, CHA2DS2-VASc, and CHA2DS2-VASc-HS scores.

Methods

The CHADS2, CHA2DS2-VASc-HS and CHADS2VASC scoring systems are advised to determine management strategies in patients with nonvalvular atrial fibrillation. As they contain similar risk factors for the development or presence of EVAS, we believed that this risk scoring system could also be used to predict EVAS. This study was designed as a retrospective observational study. 2108 consecutive patients who had undergone 24-h blood pressure monitoring and measured PWV levels were included in the study. The patients were divided into the two groups according to corrected Pwv values.

Results

CHADS2, CHA2DS2-VASc, and CHA2DS2-VASc-HS scores were positively correlated with PWV values (r =0.251, p < 0.001; r = 0.457, p < 0.001; and r = 0.385, p < 0.001, respectively). CHA2DS2-VASc-HS score was statistically better than CHA2DS2, CHA2DS2-VASc score to predict early vascular aging syndrome (p < 0.001). For the prediction of EVAS, the cut-off value of CHA2DS2-VASc-HS score was ≥ 1.5 with a sensitivity of 49% and a specificity of 50 % (AUC 0.605; 95% [CI] 0.58–0.63) in the ROC curve analyses.

Conclusions

The CHA2DS2-VASc-HS scoring system might be used in daily clinical practice to calculate the total risk assessment of EVAS. This score is relatively simple to use and time-saving technique.

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Authors and Affiliations

  1. Department of Cardiology, KOC University Hospital, Istanbul, Turkey

    Alparslan Kilic, Onur Baydar, Betul Cengiz Elcioglu & Volkan Camkiran

  2. Department of Cardiology, Haseki Research and Education Hospital, Istanbul, Turkey

    Ziya Apaydin & Mehmet Mustafa Can

  3. Department of Cardiology, Erciyes University, Kayseri, Turkey

    Deniz Elcik

Authors
  1. Alparslan Kilic
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  2. Onur Baydar
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  3. Betul Cengiz Elcioglu
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  4. Volkan Camkiran
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  5. Ziya Apaydin
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  6. Mehmet Mustafa Can
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  7. Deniz Elcik
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Correspondence to Onur Baydar.

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All authors declared that they have no conflict of interest.

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Kilic, A., Baydar, O., Elcioglu, B.C. et al. Understanding Vascular Age: Are Clinical scoring systems useful for Early Vascular Aging Syndrome Prediction ?. High Blood Press Cardiovasc Prev 27, 569–577 (2020). https://doi.org/10.1007/s40292-020-00417-7

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  • DOI: https://doi.org/10.1007/s40292-020-00417-7

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