Dataset Information

Association of Estimated Pulse Wave Velocity With Survival: A Secondary Analysis of SPRINT.

ABSTRACT:

Importance

Aortic stiffness, as assessed by carotid-femoral pulse wave velocity, is an independent predictor of future events in individuals with hypertension. Recent data suggest a predictive role of estimated pulse wave velocity (ePWV) calculated by previously published equations using age and blood pressure in future events in individuals with hypertension.

Objective

To investigate whether ePWV and its response to treatment predict survival in the Systolic Blood Pressure Intervention Trial (SPRINT).

Design, setting, and participants

This exploratory, hypothesis-generating, post hoc secondary analysis conducted from October 1, 2018, to August 31, 2019, examined data from 9361 participants in SPRINT and calculated ePWV at baseline and at 12 months. Adjusted hazard ratios (HRs) with 95% CIs of ePWV per 1 SD were estimated using Cox proportional hazards regression models. A total of 8450 patients were assigned to 4 groups according to their treatment allocation and their response in ePWV after 12 months.

Interventions

Participants were assigned a systolic blood pressure target of less than 120 mm Hg (intensive treatment) or less than 140 mm Hg (standard treatment).

Main outcomes and measures

The primary composite cardiovascular outcome was myocardial infarction, other acute coronary syndromes, stroke, heart failure, or death from cardiovascular causes.

Results

In the SPRINT population (3332 women and 6029 men; mean [SD] age, 67.9 [9.4] years), ePWV predicted the primary outcome (HR, 1.30 [95% CI, 1.17-1.43]; P?Conclusions and relevanceThese results suggest that, in the SPRINT trial, ePWV predicted outcomes independent of the Framingham Risk Score, indicating an incremental role of markers of aortic stiffness on cardiovascular risk. Better survival of individuals whose ePWV responded to antihypertensive treatment independently of systolic blood pressure reduction suggests a role of markers of aortic stiffness as effective treatment targets in individuals with hypertension.

SUBMITTER: Vlachopoulos C

PROVIDER: S-EPMC6802234 | biostudies-literature | 2019 Oct

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Association of Estimated Pulse Wave Velocity With Survival: A Secondary Analysis of SPRINT.

Vlachopoulos Charalambos C Terentes-Printzios Dimitrios D Laurent Stephane S Nilsson Peter M PM Protogerou Athanase D AD Aznaouridis Konstatinos K Xaplanteris Panagiotis P Koutagiar Iosif I Tomiyama Hirofumi H Yamashina Akira A Sfikakis Petros P PP Tousoulis Dimitrios D

JAMA network open 20191002 10

<h4>Importance</h4>Aortic stiffness, as assessed by carotid-femoral pulse wave velocity, is an independent predictor of future events in individuals with hypertension. Recent data suggest a predictive role of estimated pulse wave velocity (ePWV) calculated by previously published equations using age and blood pressure in future events in individuals with hypertension.<h4>Objective</h4>To investigate whether ePWV and its response to treatment predict survival in the Systolic Blood Pressure Interv ...[more]

PMID: 31596491

Similar Datasets

Project description:IntroductionEquations 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.MethodsThe 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: [Formula: see text] [Formula: see text] 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.ResultsWe 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-PWVOBP with e2-PWVOBP and e1-PWV24-hBP with e2-PWV24-hBP was almost perfect. The Pc for e1-PWVOBP vs e2-PWVOBP 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-PWV24-hBP vs e2-PWV24-hBP. There were no significant differences between mean values (m/s) for e1-PWVOBP vs e2-PWVOBP 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-PWV24-hBP vs e2-PWV24-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 age2 predicted more than 99.5% of all four e-PWV.ConclusionOur data presents a nearly perfect correlation between the values of two equations to calculate the estimated PWV, whether utilizing office or ambulatory blood pressure.

Project description:BackgroundArterial stiffness has been shown to be an independent risk factor for adverse events and all-cause mortality in patients. Although PWV is the gold standard for pulse wave velocity, its application in clinical practice is limited by the high cost and complexity. ePwv is a new, simple, non-invasive indicator of arterial stiffness. The aim of this study was to assess the relationship between ePwv and all-cause mortality in patients with coronary artery disease.MethodsThis is a cohort study, selected from NHANES 2005 to 2008, 402 patients with coronary artery disease were included. The ePWV was divided into two groups and KM survival curves were used to calculate cumulative mortality in patients with coronary artery disease. Restricted cubic spline were used to represent the relationship between ePWV and all-cause mortality in patients with coronary artery disease. Cox regression was used to diagnose the relationship between ePwv and all-cause mortality.ResultsThe mean age of the study subjects was 68.5 ± 11.8 years, of which 282 (70.1%) were men and 120 (29.9%) were women. During 180 months of follow-up, 160 all-cause mortality occurred. KM survival curves indicated that all-cause mortality increased with increasing ePWV. The relationship between ePWV and all-cause mortality in patients with coronary artery disease was verified by cox models. Patients in higher ePWV tertile tended to have higher all-cause mortality. After complete multivariate adjustment, an increase in ePWV was positively associated with all-cause mortality (HR = 1.180, 95% confidence interval (CI): 1.056-1.320). The multivariate-adjusted HR and 95% CI for the highest ePWV tertile was 1.582 (95% CI: 0.968-2.587) compared to the lowest tertile. In addition, the association between ePWV and mortality was visualized employing restricted spline curves, in which we found curves indicating a possible threshold for the effect of ePWV on all-cause mortality, with HR less than 1 when ePWV was less than 11.15 m/s; thereafter, there was a tendency for HR to increase with enhanced ePWV. Subgroup analysis showed that the correlation between ePWV and mortality persisted in population subgroups.ConclusionOur findings suggest that higher ePWV is associated with increased all-cause mortality in patients with coronary artery disease, particularly when ePWV exceeds 11.15 m/s.

Dataset Information

Association of Estimated Pulse Wave Velocity With Survival: A Secondary Analysis of SPRINT.

Importance

Objective

Design, setting, and participants

Interventions

Main outcomes and measures

Results

Publications

Association of Estimated Pulse Wave Velocity With Survival: A Secondary Analysis of SPRINT.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets