Correlation between estimated pulse wave velocity values from two equations in healthy and under cardiovascular risk populations

Introduction : Equations can calculate pulse wave velocity (ePWV) from blood pressure values (BP) and age. The ePWV predicts cardiovascular events beyond carotid-femoral PWV. We aimed to evaluate the correlation between four different equations to calculate ePWV.
Methods: The ePWV was estimated utilizing mean BP (MBP) from office BP (MBPOBP) or 24-hour ambulatory BP (MBP24-hBP). We separated the whole sample into two groups: individuals with risk factors and healthy individuals. The e-PWV was calculated as follows:  
We calculated the concordance correlation coefficient (Pc) between e1-PWVOBP vs e2-PWVOBP, e1-PWV24-hBP vs e2-PWV24-hBP, and mean values of e1-PWVOBP, e2-PWVOBP, e1-PWV24-hBP, and e2-PWV24-hBP . The multilevel regression model determined how much the ePWVs are influenced by age and MBP values.
Results:  We analyzed data from 1541 individuals; 1374 ones with risk factors and 167 healthy ones. The values are presented for the entire sample, for risk-factor patients and for he..., This study is a secondary analysis of data obtained from two cross-sectional studies conducted at a specialized center in Brazil to diagnose and treat non-communicable diseases. In both studies, the inclusion criteria were adults aged 18 years and above, referred to undergo ambulatory blood pressure monitoring (ABPM) due to suspected non-treated or uncontrolled hypertension following initial blood pressure measurements by a physician. The combined databases included 1541 people. For the first database, we recruited participants between 28 January and 13 December 2013, and for the second database, between 23 January 2016 and 28 June 2019. 
Prior to being fitted with an AMBP device and assisted by a trained nurse, all participants signed a written consent form to partake in the research. Later, the nurse collected demographic and clinical data, including any previous reports of clinical cardiovascular disease (CVD), acute myocardial infarction, acute coronary syndrome, coronary or other a..., , # ePWV\_PLOS\_ONE

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## Description of the data and file structure

The database includes variables from two other databases. We collected only the interest variables of the manuscript from them. The ePWV_PLOS_ONE database presents all the data described in the paper. We used Microsoft Excel Worksheet version 2013 to include the data. The spreadsheet has 36 columns (A to AI) and 1542 rows (2 to 1542). The ePWV_PLOS_ONE contains two spreadsheets, DATABASE and LEGENDS. DATABASE presents all data from 1541 subjects. The LEGENDS spreadsheet describes the meaning of variable abbreviations.

## Sharing/Access information

Data was derived from the following sources:

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## Code/Software

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