부산대학교 도서관

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 (MBP.sub.OBP) or 24-hour ambulatory BP (MBP.sub.24-hBP). We separated the whole sample into two groups: individuals with risk factors and healthy individuals. The e-PWV was calculated as follows:e1-PWV=9.58748315543126-0.402467539733184*age+4.56020798207263*10-3*age2-2.6207705511664*10-5*age2*MBP+3.1762450559276*10-3*age*MBP-1.83215068503821*10-2*MBPe2-PWV=4.62-0.13*age+0.0018*age2+0.0006*age*MBP+0.0284*MBPWe calculated the concordance correlation coefficient (Pc) between e1-PWV.sub.OBP vs e2-PWV.sub.OBP, e1-PWV.sub.24-hBP vs e2-PWV.sub.24-hBP, and mean values of e1-PWV.sub.OBP, e2-PWV.sub.OBP, e1-PWV.sub.24-hBP and e2-PWV.sub.24-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 healthy individuals respectively. The correlation between e1-PWV.sub.OBP with e2-PWV.sub.OBP and e1-PWV.sub.24-hBP with e2-PWV.sub.24-hBP was almost perfect. The Pc for e1-PWV.sub.OBP vs e2-PWV.sub.OBP was 0.996 (0.995-0.996), 0.996 (0.995-0.996), and 0.994 (0.992-0.995); furthermore, it was 0.994 (0.993-0.995), 0.994 (0.994-0.995), 0.987 (0.983-0.990) to the e1-PWV.sub.24-hBP vs e2-PWV.sub.24-hBP . There were no significant differences between mean values (m/s) for e1-PWV.sub.OBP vs e2-PWV.sub.OBP 8.98±1.9 vs 8.97±1.8; p = 0.88, 9.14±1.8 vs 9.13±1.8; p = 0.88, and 7.57±1.3 vs 7.65±1.3; p = 0.5; mean values are also similar for e1-PWV.sub.24-hBP vs e2-PWV.sub.24-hBP, 8.36±1.7 vs 8.46±1.6; p = 0.09, 8.50±1.7 vs 8.58±1.7; p = 0.21 and 7.26±1.3 vs 7.39±1.2; p = 0.34. The multiple linear regression showed that age, MBP, and age.sup.2 predicted more than 99.5% of all four e-PWV. Conclusion Our data presents a nearly perfect correlation between the values of two equations to calculate the estimated PWV, whether utilizing office or ambulatory blood pressure.
Author(s): Marco Av Silva 1,2,*, Ana Ps De Oliveira 3, Ana Cs Queiroz 4, Amanda O. Spaziani 2, Leticia Ab Fernandes 2, Kleber A. De Oliveira 2, Valquiria Da S. [...]