Literature DB >> 30239585

Early Vascular Aging Risk Assessment From Ambulatory Blood Pressure Monitoring: The Early Vascular Aging Ambulatory Score.

Christina Antza1, Ioannis Doundoulakis1, Evagelos Akrivos2, Stella Stabouli3, Christina Trakatelli4, Michael Doumas5, Vasilios Kotsis1.   

Abstract

BACKGROUND: This study compared the diagnostic accuracy of blood pressure (BP) measurement methods, office BP, ambulatory BP monitoring (ABPM), and home BP, in the identification of early vascular aging (EVA) and developed a score to predict the risk of EVA in hypertensive patients.
METHODS: Two-hundred eighty-two consecutive subjects (39.7% male) aged 56.8  ±  15.8 years were included. Office and out-of-office BP measurements including ABPM on a usual working day and 7 days home BP monitoring were performed. Carotid-femoral pulse wave velocity (c-f PWV) was measured in all patients. EVA was defined as c-f PWV values higher than the expected for age average values according to European population data.
RESULTS: In univariate analysis, EVA was significantly correlated with office systolic BP, average 24-hour systolic and diastolic BP, and average 24-hour and office heart rates. The area under the curve for predicting EVA was 0.624 (95% CI 0.551 to 0.697), 0.559 (95% CI 0.484 to 0.635) and 0.565 (95% CI 0.49 to 0.641), for daytime, home, and office systolic BP, respectively. Ambulatory BP variables, age, sex, body mass index, diabetes mellitus (yes/no), and estimated glomerular filtration rate were used to develop a new score for EVA providing a total accuracy of 0.82, 0.84 sensitivity, and 0.78 specificity.
CONCLUSIONS: In conclusion, the new risk score, Early Vascular Aging Ambulatory score, may accurately identify hypertensive patients with EVA using ABPM values and classic cardiovascular risk factors.

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Year:  2018        PMID: 30239585     DOI: 10.1093/ajh/hpy115

Source DB:  PubMed          Journal:  Am J Hypertens        ISSN: 0895-7061            Impact factor:   2.689


  3 in total

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Journal:  Eur Heart J Digit Health       Date:  2021-10-18

2.  Vascular Aging Estimation Based on Artificial Neural Network Using Photoplethysmogram Waveform Decomposition: Retrospective Cohort Study.

Authors:  Junyung Park; Hangsik Shin
Journal:  JMIR Med Inform       Date:  2022-03-17

Review 3.  Inflammation as A Precursor of Atherothrombosis, Diabetes and Early Vascular Aging.

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Journal:  Int J Mol Sci       Date:  2022-01-16       Impact factor: 5.923

  3 in total

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