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Assessment of Early Vascular Aging Ambulatory Score (EVAAs): A Large Population-based External Validation Study.
Antza, Christina; Potoupni, Victoria; Akrivos, Evangelos; Stabouli, Stella; Kotsis, Vasilios.
Afiliação
  • Antza C; 3 rd Department of Internal Medicine, Aristotle University, Hypertension-24h ambulatory blood pressure monitoring center, Papageorgiou Hospital, Thessaloniki, Greece.
  • Potoupni V; 3 rd Department of Internal Medicine, Aristotle University, Hypertension-24h ambulatory blood pressure monitoring center, Papageorgiou Hospital, Thessaloniki, Greece.
  • Akrivos E; Lab of Computing, Medical Informatics and Biomedical Imaging Technologies, Medical School, Aristotle University of Thessaloniki, and 2nd Department of Internal Medicine, 424 General Military Hospital, Thessaloniki, Greece.
  • Stabouli S; 1 st Department of Pediatrics, Hippokration Hospital, Aristotle University, Thessaloniki, Greece.
  • Kotsis V; 3 rd Department of Internal Medicine, Aristotle University, Hypertension-24h ambulatory blood pressure monitoring center, Papageorgiou Hospital, Thessaloniki, Greece.
Curr Vasc Pharmacol ; 2024 Jul 15.
Article em En | MEDLINE | ID: mdl-39021179
ABSTRACT

BACKGROUND:

Pulse Wave Velocity (PWV) remains the gold-standard method to assess Early Vascular Aging (EVA) defined by arterial stiffness. However, its high cost, time-consuming process, and need for qualified medical staff shows the importance of identifying alternative methods for the EVA evaluation.

OBJECTIVE:

In order to simplify the process of assessing patients' EVA, we recently developed the Early Vascular Aging Ambulatory score (EVAAs), a simple tool to predict the risk of EVA. The aim of the present study was the external validation of EVAAs in an independent population.

METHODS:

Eight hundred seventy-nine (46.3% men) patients who were referred to our Hypertension ESH Excellence Center were included in this study. The mean age was 46.43 ± 22.87 years. EVA was evaluated in two different ways. The first assessment included c-f PWV values, whereas the second one included EVAAs without the direct measurement of carotid-femoral PWV.

RESULTS:

The null hypothesis was that the prediction of EVA based on EVAAs does not present any statistically significant difference compared to the prediction based on the calculation from c-f PWV. Mean squared error (MSE) was used for the assessment of the null hypothesis, which was found to be 0.40. The results revealed that the EVAAs show the probability of EVA with 0.98 sensitivity and 0.75 specificity. The EVAAs present 95% positive predictive value and 92% negative predictive value.

CONCLUSION:

Our study revealed that EVAAs could be as reliable as the carotid-femoral PWV to identify patients with EVA. Hence, we hope that EVAAs will be a useful tool in clinical practice.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Curr Vasc Pharmacol Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Idioma: En Revista: Curr Vasc Pharmacol Ano de publicação: 2024 Tipo de documento: Article