Estimated Pulse Wave Velocity Research Articles

Estimated pulse wave velocity in metabolic dysfunction-associated steatotic liver disease and all-cause/cause-specific mortality.

Several reports show a significant association between metabolic dysfunction-associated steatotic liver disease (MASLD) and arterial stiffness (estimated pulse wave velocity [ePWV]) as a surrogate marker of vascular age. We investigate whether ePWV as arterial stiffness in MASLD is associated with all-cause/cause-specific mortality. This cohort study was based on the third National Health and Nutrition Examination Survey (NHANES, 1988-1994) and NHANES 2007-2014 and linked mortality datasets through 2019. Cox regression models assessed the association between ePWV categorized by quartile and all-cause/cause-specific mortality among individuals with MASLD. During the follow-up of a median of 26.3 years (interquartile range: 19.9-27.9), higher levels of ePWV among individuals with MASLD were associated with increased all-cause mortality, which remained significant after adjusting for demographic, lifestyle, clinical, and metabolic risk factors. Furthermore, higher ePWV in MASLD was associated with higher cardiovascular mortality. There was a 44% (hazard ratio: 1.44, 95% confidence interval: 1.32-1.58) increase in all-cause mortality and a 53% (hazard ratio: 1.53, 95% confidence interval: 1.32-1.77) increase in cardiovascular mortality for every 1 m/s increase in ePWV in MASLD. However, there was no significant association between ePWV and cancer-related mortality. Sensitivity analyses using the NHANES 2007-2014 dataset showed results identical to the original analysis. Higher ePWV in MASLD was associated with a higher risk of all-cause and cardiovascular mortality beyond traditional cardiovascular risk factors. Screening for ePWV in individuals with MASLD may be an effective and beneficial approach to reducing all-cause and cardiovascular mortality.

Associations between estimated glucose disposal rate and arterial stiffness and mortality among US adults with non-alcoholic fatty liver disease.

The estimated glucose disposal rate (eGDR), an effective indicator of insulin resistance, has been related to acute coronary syndrome, ischemic stroke and heart failure. This study aims to explore the relationship between eGDR and arterial stiffness, all-cause mortality and cardiovascular mortality in patients with non-alcoholic fatty liver disease (NAFLD). Participants with NAFLD were chosen from the National Health and Nutrition Examination Survey (NHANES) between 1999 and 2018. The main outcomes are arterial stiffness (represented by estimated pulse wave velocity, ePWV), all-cause and cardiovascular mortality. Multiple cox regression models, restricted cubic spline, sensitivity analysis and subgroup analysis were carried out to investigate the correlation between the insulin resistance indicators and mortality and arterial stiffness. Furthermore, receiver operating characteristic curves were used to compare the predictive value of the eGDR with the triglyceride-glucose (TyG) index and the homeostasis model assessment of insulin resistance (HOMA-IR) for all-cause and cardiovascular mortality. In this study, a total of 4,861 participants were included for analysis. After adjusting confounding factors in the multivariate weighted cox regression model, the eGDR was inversely associated with the all-cause mortality (Q4 vs. Q1, HR =0.65 (0.48-0.89, P=0.01) and cardiovascular mortality (Q4 vs. Q1, HR =0.35 (0.19-0.65, P<0.001). Compared with TyG index and HOMA-IR, the eGDR shows excellent predictive value in all-cause mortality (0.588 vs. 0.550 vs. 0.513, P < 0.001) and cardiovascular mortality (0.625 vs. 0.553 vs. 0.537, P < 0.001). In addition, we found a significant negative correlation between eGDR and arterial stiffness (β=-0.13(-0.14-0.11, P< 0.001). However, TyG index and HOMA-IR showed no significant correlation to arterial stiffness. Low eGDR (an indicator of insulin resistance) levels are related to an increased risk of arterial stiffness and mortality in NAFLD patients in the United States.

Heterogeneity of aging and mortality risk among individuals with hypertension: Insights from phenotypic age and phenotypic age acceleration

ObjectivesHypertension, a key contributor to mortality, is impacted by biological aging. We investigated the relationship between novel biological aging metrics - Phenotypic Age (PA) and Phenotypic Age Acceleration (PAA) - and mortality in individuals with hypertension, exploring the mediating effects of arterial stiffness (estimated Pulse Wave Velocity, ePWV), and Heart/Vascular Age (HVA). MethodsUsing data from 62,160 National Health and Nutrition Examination Survey (NHANES) participants (1999–2010), we selected 4,228 individuals with hypertension and computed PA, PAA, HVA, and ePWV. Weighted, multivariable Cox regression analysis yielded Hazard Ratios (HRs) relating PA, PAA to mortality, and mediation roles of ePWV, PAA, HVA were evaluated. Mendelian randomization (MR) analysis was employed to investigate causality between genetically inferred PAA and hypertension. ResultsOver a 12-year median follow-up, PA and PAA were tied to increased mortality risks in individuals with hypertension. All-cause mortality hazard ratios per 10-year PA and PAA increments were 1.96 (95% CI, 1.81–2.11) and 1.67 (95% CI, 1.52–1.85), respectively. Cardiovascular mortality HRs were 2.32 (95% CI, 1.97–2.73) and 1.93 (95% CI, 1.65–2.26) for PA and PAA, respectively. ePWV, PAA, and HVA mediated 42%, 30.3%, and 6.9% of PA’s impact on mortality, respectively. Mendelian randomization highlighted a causal link between PAA genetics and hypertension (OR = 1.002; 95% CI, 1.000–1.003). ConclusionPA and PAA, enhancing cardiovascular risk scores by integrating diverse biomarkers, offer vital insights for aging and mortality evaluation in individuals with hypertension, suggesting avenues for intensified aging mitigation and cardiovascular issue prevention. Validations in varied populations and explorations of underlying mechanisms are warranted.

DIFFERENCES BETWEEN SCORE, FRAMINGHAM RISK SCORE AND ESTIMATED PULSE WAVE VELOCITY-BASED VASCULAR AGE CALCULATION METHODS - DATA FROM THREE GENERATIONS HEALTH PROGRAM IN HUNGARY

Objective: Early vascular ageing contributes to cardiovascular (CV) morbidity and mortality. There are different possibilities to calculate vascular age including methods based on CV risk scores, but different methods might identify different subjects with early vascular ageing. We aimed to compare SCORE and Framingham Risk Score (FRS)-based vascular age calculation methods on subjects that were involved into a national screening program in Hungary. We also aimed to compare the distribution of subjects identified with early vascular ageing based on estimated pulse wave velocity (ePWV). Design and method: The Three Generations for Health program focuses on the development of primary health care in Hungary. One of the key elements of the program is the identification of risk factors of CV diseases. Vascular ages based on SCORE and FRS were calculated based on previous publications and were compared with chronological age and with each other in the total population and in patients with hypertension or diabetes. ePWV was calculated based on a method published previously. Supernormal, normal, and early vascular ageing were defined as &lt;10%, 10-90% and &gt;90% ePWV values of the participants. Results: 99 231 subjects were involved in the study and among them 49 191 patients had hypertension (HT) and 15 921 patients had diabetes (DM). Chronological age of the total population was 54.0 (48.0 – 60-0) years, while SCORE and FRS vascular ages were 59.0 (51.0 – 66.0) and 64.0 (51-80) years, respectively. In HT patients chronological, SCORE and FRS vascular ages were 57.0 (51.0 – 62.0), 63.0 (56.0 – 68.0) and 79.0 (64.0 – 80.0) years, respectively. In DM patients chronological, SCORE and FRS vascular ages were 58.0 (52.0 – 62.0), 63.0 (56.0 – 68.0) and 80.0 (76.0 – 80.0) years, respectively. Based on ePWV, FRS identified patients with elevated vascular age with high sensitivity (97.3%), while in case of SCORE, the sensitivity was much lower (13.3%). Conclusions: In conclusion, different vascular age calculation methods can provide different vascular age results in a population-based cohort. The importance of this finding for the implementation into CV preventive strategies requires further studies.

Associations Between Estimated Pulse Wave Velocity and Five-Year All-Cause Mortality in Patients with Atherosclerotic Cardiovascular Disease with and without Standard Modifiable Risk Factors: Evidence From NHANES 1999-2016

Associations Between Estimated Pulse Wave Velocity and Five-Year All-Cause Mortality in Patients with Atherosclerotic Cardiovascular Disease with and without Standard Modifiable Risk Factors: Evidence From NHANES 1999-2016

Estimated pulse wave velocity predicts mortality in patients with heart failure with preserved ejection fraction

AIMEstimated pulse wave velocity (ePWV), a newly established arterial stiffness (AS) parameter, predicts development of cardiovascular disease (CVD) and death in general population or patients with CVD risk factors. However, whether ePWV is associated with adverse outcome in heart failure with preserved ejection fraction (HFpEF) patients remains unknown. Our study aimed to evaluate the prognostic value of ePWV on clinical outcomes in HFpEF. Methods and resultsWe analyzed HFpEF participants from the Americas in the Treatment of Preserved Cardiac Function Heart Failure with an Aldosterone Antagonist (TOPCAT) trial with available baseline data (n = 1764). Cox proportional hazard model was used to explore the prognostic value of ePWV on the long-term clinical outcomes (all-cause mortality, cardiovascular mortality, all-cause hospitalization and heart failure hospitalization). Each ePWV increase by 1 m/s increased the risk for all-cause death by 16% (HR:1.16; 95% CI:1.10-1.23; P<0.001) and CVD mortality by 13% (HR:1.13; 95% CI:1.04-1.21; P=0.002) after adjusting for confounders. Patients were then grouped into 4 quartiles of ePWV. Our study indicated that the highest ePWV quartile (ePWV ≥12.806 m/s) was associated with increased risk of all-cause mortality (HR, 1.96; 95% CI, 1.43-2.69; P<0.001) and CVD mortality (HR, 1.72; 95% CI, 1.16-2.56; P=0.008) after adjusting for potential confounders. ConclusionThese results suggested ePWV is independently associated with increased all-cause mortality and CVD mortality in HFpEF patients, indicating ePWV is an appropriate predictor of prognosis in patients with HFpEF.

Estimated pulse wave velocity as a predictor of all-cause and cardiovascular mortality in patients with hypertension in China: a prospective cohort study.

Whether the estimated pulse wave velocity (ePWV) in Chinese patients with hypertension can serve as an independent predictor of cardiovascular and all-cause mortality remains unknown. Therefore, this study investigated the associations between ePWV and cardiovascular and all-cause mortalities and explored potential effect modifiers influencing these relationships. Finally, we compared the ePWV with the brachial-ankle pulse wave velocity (baPWV) to determine which parameter better predicts mortality. The population of this longitudinal cohort study was selected from the China H-type Hypertension Registry Study. The exposure and outcome variables were ePWV and all-cause and cardiovascular mortalities, respectively. The Cox proportional hazard regression model was applied to assess the associations between ePWV and all-cause and cardiovascular mortalities. The performances of ePWV and baPWV in predicting death were compared using the receiver operating characteristic (ROC) curve area, net reclassification improvement index (NRI), and integrated discrimination improvement index (IDI). This prospective study enrolled 14,232 patients with hypertension. Following an average follow-up of 48 months, 806 individuals succumbed to all-cause mortality, with 397 cases specifically attributed to cardiovascular diseases. The Cox proportional regression analysis revealed a significant association between a 1 m/s increase in ePWV and a 37% higher risk of all-cause mortality (hazard ratio [HR]: 1.37, 95% confidence interval [CI]: 1.31-1.43) as well as a 52% higher risk of cardiovascular mortality (HR: 1.52, 95% CI: 1.43-1.62) in the fully adjusted model. The findings for ePWV according to quartile demonstrated hazard ratios for all-cause mortality for Q2 (10.25 < ePWV < 11.32), Q3 (11.32 < ePWV < 12.40), and Q4 (ePWV ≥ 12.40) of 1.50 (HR: 1.50, 95% CI: 1.07-2.10), 2.34 (HR: 2.34, 95% CI: 1.73-3.18), and 4.09 (HR: 4.09, 95% CI: 3.05-5.49), respectively, compared with Q1 (ePWV < 10.25). The risk of cardiovascular death also increased in proportion to the rise in ePWV. The results of the area under the ROC curve, NRI, and IDI all indicated that ePWV outperformed baPWV in predicting mortality. The results of the subgroup analysis demonstrated that body mass index (BMI) and hypoglycemic drug use modified the association between ePWV and mortality. The performance of ePWV in predicting all-cause and cardiovascular mortalities was superior to that of baPWV alone. Patients who were overweight or obese with higher ePWV values exhibited a significantly increased risk of all-cause death. The correlation between elevated ePWV and the risk of cardiovascular death was more pronounced in patients who had not received hypoglycemic drugs.

Estimated pulse wave velocity and risk of new-onset heart failure.

As a potential surrogate of carotid-femoral pulse wave velocity, estimated pulse wave velocity (ePWV) has been confirmed to independently predict the cardiovascular events, but the association between ePWV and heart failure has not been well confirmed. Therefore, we performed this cohort study to evaluate the association between ePWV and risk of new-onset heart failure. A total of 98269 employees (mean age: 51.77±12.56years, male accounted for 79.9%) without prior heart failure who participated in the 2006-2007 health examination were selected as the observation cohort, with an average follow-up of 13.85±1.40years. Area under the receiver operator characteristic curve (AUC) of ePWV was calculated in prediction of heart failure. The adjusted Cox proportional hazard models were used to estimate hazard ratios and 95% confidence intervals. The category-free net reclassification index (NRI) was calculated to evaluate the reclassification performance of cardiovascular risk models after adding ePWV. The AUC of ePWV was 0.74 in prediction of heart failure. After adjusting for the traditional cardiovascular risk factors except for age and blood pressure, the risk of new-onset heart failure increased by 35% [hazard ratio (HR): 1.35, 95% confidence interval (CI): 1.33-1.37] for each 1m/s increase in ePWV. Subgroup analysis showed that ePWV was significantly associated with incident heart failure regardless of THE presence (HR: 1.33, 95% CI: 1.31-1.36, P<0.01) or absence (HR: 1.59, 95% CI: 1.46-1.73, P<0.01) of cardiovascular risk factors, male (HR: 1.33, 95% CI: 1.31-1.36, P<0.01) or female (HR: 1.44, 95% CI: 1.38-1.51, P<0.01), young and middle-aged (<52years) (HR: 1.50, 95% CI: 1.41-1.58, P<0.01), or middle-aged and elderly (≥52years) (HR: 1.23, 95% CI: 1.21-1.26, P<0.01). The addition of ePWV to the traditional cardiovascular risk model including age and mean arterial pressure could significantly improve the reclassification ability by 31.1% (category-free NRI=0.311, P<0.01). ePWV was an independent predictor for new-onset heart failure.

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

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. 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: [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. 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-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. 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.

Effects of Exercise Interventions on Estimated Pulse Wave Velocity and Mean Arterial Pressure in Overweight Adults: The Role of Modality

Effects of Exercise Interventions on Estimated Pulse Wave Velocity and Mean Arterial Pressure in Overweight Adults: The Role of Modality

Estimated pulse wave velocity and cognitive outcomes: A post hoc analysis of SPRINT-MIND.

Arterial stiffness has been confirmed to be associated with cognitive impairment. Carotid-femoral pulse wave velocity (cfPWV) is widely regarded as the gold standard for assessing arterial stiffness, yet it is not readily accessible. In response, the use of estimated pulse wave velocity (ePWV) has been proposed as a more accessible and cost-effective alternative. ePWV not only offers ease of calculation but also covers a broader spectrum of vascular aging processes, some of which may be distinct from those detected by cfPWV. The aim of our study was to investigate the association between ePWV and cognitive outcomes in SPRINT-MIND (Systolic Blood Pressure Intervention Trial Memory and Cognition in Decreased Hypertension). This study was a post-hoc analysis of the SPRINT-MIND. The primary endpoint was a composite outcome including probable dementia and mild cognitive impairment (MCI). The calculation of ePWV was based on age and mean blood pressure. The association between ePWV and cognitive outcomes was assessed using Cox regression analysis. The response of ePWV to antihypertensive treatment at 12 months was used to define treatment efficacy. 8563 patients were enrolled. The ePWV was found to be independently associated with risk of probable dementia (Tertile 3 vs. Tertile 1: HR, 95% CI: 1.70, 1.08-2.68, P = 0.023, P for trend = 0.013), MCI (Tertile 3 vs. Tertile 1: HR, 95% CI: 2.35, 1.71-3.23, P < 0.001, P for trend < 0.001), and the composite outcome of probable dementia or MCI (Tertile 3 vs. Tertile 1: HR, 95% CI: 2.17, 1.65-2.86, P < 0.001, P for trend < 0.001). The combined effect of treatment allocation and the response of ePWV to treatment exhibited that intensive/ePWV responders had the lowest risk of the primary outcome (Log-rank P = 0.002). EPWV demonstrated independent predictive value for cognitive outcomes in SPRINT-MIND.

Correlation between the triglyceride-glucose index and arterial stiffness in Japanese individuals with normoglycaemia: a cross-sectional study

BackgroundThe association between the triglyceride-glucose (TyG) index and arterial stiffness in individuals with normoglycaemia remains unclear. We aimed to evaluate the relationship between the TyG index and arterial stiffness in Japanese individuals with normoglycaemia, providing additional evidence for predicting early arterial stiffness.MethodsThis study included 15,453 adults who participated in the NAGALA Physical Examination Project of the Murakami Memorial Hospital in Gifu, Japan, from 2004 to 2015. Data on clinical demographic characteristics and serum biomarker levels were collected. The TyG index was calculated from the logarithmic transformation of fasting triglycerides multiplied by fasting glucose, and arterial stiffness was measured using the estimated pulse wave velocity calculated based on age and mean blood pressure. The association between the TyG index and arterial stiffness was analysed using a logistic regression model.ResultsThe prevalence of arterial stiffness was 3.2% (500/15,453). After adjusting for all covariates, the TyG index was positively associated with arterial stiffness as a continuous variable (adjusted odds ratio (OR) = 1.86; 95% Confidence Interval = 1.45–2.39; P<0.001). Using the quartile as the cutoff point, a regression analysis was performed for arterial stiffness when the TyG index was converted into a categorical variable. After adjusting for all covariates, the OR showed an upward trend; the trend test was P<0.001. Subgroup analysis revealed a positive association between the TyG index and arterial stiffness in Japanese individuals with normoglycaemia and different characteristics.ConclusionThe TyG index in Japanese individuals with normoglycaemia is significantly correlated with arterial stiffness, and the TyG index may be a predictor of early arterial stiffness.

Superior predictive value of estimated pulse wave velocity for all-cause and cardiovascular disease mortality risk in U.S. general adults

BackgroundEstimated pulse wave velocity (ePWV) has been proposed as a potential approach to estimate carotid-femoral pulse wave velocity. However, the potential of ePWV in predicting all-cause mortality (ACM) and cardiovascular disease mortality (CVM) in the general population is unclear.MethodsWe conducted a prospective cohort study using the data of 33,930 adults (age ≥ 20 years) from the National Health and Nutrition Examination Survey (NHANES) from 1999 to 2014 until the end of December 2019. The study outcomes included ACM and CVM. Survey-weighted Cox proportional hazards models were used to assess hazard ratios (HRs) and 95% confidence intervals (CIs) to determine the association between ePWV and ACM and CVM. To further investigate whether ePWV was superior to traditional risk factors in predicting ACM and CVM, comparisons between ePWV and the Framingham Risk Score (FRS) and Pooled Cohort Equations (PCE) models were performed. Integrated Discriminant Improvement (IDI) and Net Reclassification Improvement (NRI) were employed to analyze differences in predictive ability between models.ResultsThe weighted mean age of the 33,930 adults included was 45.2 years, and 50.28% of all participants were men. In the fully adjusted Cox regression model, each 1 m/s increase in ePWV was associated with 50% and 49% increases in the risk of ACM (HR 1.50; 95% CI, 1.45–1.54) and CVM (HR 1.49; 95% CI, 1.41–1.57), respectively. After adjusting for FRS, each 1 m/s increase in ePWV was still associated with 29% (HR 1.29; 95% CI, 1.24–1.34) and 34% (HR 1.34; 95% CI, 1.23–1.45) increases in the risk of ACM and CVM, respectively. The area under the curve (AUC) predicted by ePWV for 10-year ACM and CVM were 0.822 and 0.835, respectively. Compared with the FRS model, the ePWV model improved the predictive value of ACM and CVM by 5.1% and 3.8%, respectively, with no further improvement in event classification. In comparison with the PCE model, the ePWV model’s ability to predict 10-year ACM and CVM was improved by 5.1% and 3.5%, and event classification improvement was improved by 34.5% and 37.4%.ConclusionsIn the U.S. adults, ePWV is an independent risk factor for ACM and CVM and is independent of traditional risk factors. In the general population aged 20 to 85 years, ePWV has a robust predictive value for the risk of ACM and CVM, superior to the FRS and PCE models. The predictive power of ePWV likely originates from the traditional risk factors incorporated into its calculation, rather than from an indirect association with measured pulse wave velocity.

Estimated Pulse Wave Velocity Predicts All-Cause and Cardiovascular-Cause Mortality in Individuals With Hypertension - Findings From a National Health and Nutrition Examination Study 1999-2018.

This study aimed to investigate the association between estimated pulse wave velocity (ePWV) and mortality outcomes among individuals with hypertension.Methods and Results: Based on the National Health and Nutrition Examination Survey (NHANES) 1999-2018, a total of 14,396 eligible participants with hypertension were enrolled. The ePWV was calculated using the equation based on blood pressure and age. The mortality outcomes of included participants were directly acquired from the National Death Index database. The multivariable Cox regression analysis was used to examine the relationship between ePWV and mortality outcomes. Moreover, the restricted cubic spline (RCS) was also used to explore this relationship. Receiver operating characteristics curves (ROC) were adopted to evaluate the prognostic ability of ePWV for predicting mortality outcomes of patients with hypertension. The median follow-up duration was 10.8 years; individuals with higher an ePWV had higher risks of mortality from both all causes (HR: 2.79, 95% CI: 2.43-3.20) and cardiovascular diseases (HR: 3.41, 95% CI: 2.50-4.64). After adjusting for confounding factors, each 1 m/s increase in ePWV was associated with a 43% increase in all-cause mortality risk (HR: 1.43, 95% CI: 1.37-1.48) and a 54% increase in cardiovascular mortality risk (HR: 1.54, 95% CI: 1.43-1.66). This study indicates that ePWV is a novel prognostic indicator for predicting the risks of mortality among patients with hypertension.

Association between estimated pulse wave velocity and in-hospital mortality of patients with acute kidney injury: a retrospective cohort analysis of the MIMIC-IV database

Background Estimated pulse wave velocity (ePWV) has been found to be an independent predictor of cardiovascular mortality and kidney injury, which can be estimated noninvasively. This study aimed to investigate the association between ePWV and in-hospital mortality in critically ill patients with acute kidney injury (AKI). Methods This study included 5960 patients with AKI from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. The low and high ePWV groups were compared using a Kaplan-Meier survival curve to evaluate the differences in survival status. Cox proportional hazards models were used to explore the association between ePWV and in-hospital mortality in critically ill patients with AKI. To further examine the dose-response relationship, we used a restricted cubic spline (RCS) model. Stratification analyses were conducted to investigate the effect of ePWV on hospital mortality across various subgroups. Results Survival analysis indicated that patients with high ePWV had a lower survival rate than those with low ePWV. Following adjustment, high ePWV demonstrated a statistically significant association with an increased risk of in-hospital mortality among AKI patients (HR = 1.53, 95% CI = 1.36-1.71, p < 0.001). Analysis using the RCS model confirmed a linear increase in the risk of hospital mortality as the ePWV values increased (P for nonlinearity = 0.602). Conclusions A high ePWV was significantly associated with an increased risk of in-hospital mortality among patients with AKI. Furthermore, ePWV was an independent predictor of in-hospital mortality in critically ill patients with AKI.

Estimated Pulse Wave Velocity is Associated with Intracranial Arterial Stenosis: A Secondary Analysis Based on A Korean Population

The estimated pulse wave velocity (ePWV) was recently proposed to indicate artery stiffness. Although arterial stiffness contributes to intracranial arterial stenosis (ICAS), the correlation between ePWV and ICAS remains unclear. This secondary analysis included 1,011 neurologically healthy Korean participants from a cross-sectional database to explore the association between ePWV and prevalent ICAS. Brain magnetic resonance angiography (MRA) was performed for all patients at their presentation to access the ICAS. The ePWV was derived as: ePWV = 9.587 − 0.402 × age + 4.560 × 10 −3 × age2 − 2.621 × 10-5 × age2 × mean blood pressure (MBP) + 3.176 × 10-3 × age × MBP – 1.832 ×10-2 × MBP. The prevalence of ICAS was 9.99% (n=101). In multivariable logistic regression analyses, per 1m/s increment of ePWV causes 1.36 times the risk of ICAS prevalence after fully adjusting potential confounders. When dividing ePWV into tertiles, the ICAS risk increased by 1.98 times when ePWV increased from the first tertile to the third tertile. Moreover, the relationship between ePWV and ICAS was linear and robust, as suggested by smooth curve fitting and stratification analysis. In conclusion, the ePWV was positively and independently associated with prevalent ICAS in the Korean population.

Independent association of estimated pulse-wave velocity with all-cause mortality in individuals with type 2 diabetes.

Estimated pulse wave velocity (ePWV), a surrogate measure of arterial stiffness, was shown to independently predict morbidity and mortality from cardiovascular disease and other causes in both the general population and high-risk individuals. However, in people with type 2 diabetes, it is unknown whether ePWV adds prognostic information beyond the parameters used for calculating it. To assess the independent association of ePWV with all-cause mortality in individuals with type 2 diabetes. Prospective cohort study that enrolled 15,773 patients in 19 Italian centres in 2006-2008. ePWV was calculated from a regression equation using age and mean blood pressure (BP). All-cause mortality was retrieved for 15,656 patients in 2015. Percentage and rate of deaths, Kaplan-Meier estimates, and unadjusted hazard ratios increased from quartile I to quartile IV of ePWV. After adjustment for age, sex, BP levels and anti-hypertensive treatment, the strength of association decreased but mortality risk remained significantly higher for quartiles II (+34%), III (+82%), and IV (+181%) versus quartile I and was virtually unchanged when further adjusting for other cardiovascular risk factors and complications/comorbidities. Each m·s - 1 increase in ePWV was associated with an increased adjusted risk of death in the whole cohort (+53%) and in participants with (+52%) and without (+65%) cardiorenal complications. Moreover, ePWV significantly improved prediction of mortality risk over cardiovascular risk factors and complications/comorbidities, though the net increase was modest. These findings suggest that ePWV may represent a simple and inexpensive tool for providing prognostic information beyond traditional cardiovascular risk factors. ClinicalTrials.gov, NCT00715481, https://clinicaltrials.gov/ct2/show/NCT00715481.

Estimated pulse wave velocity added additional prognostic information in general population: Evidence from National Health and Nutrition Examination Survey (NHANES) 1999–2018

BackgroundAs an indicator of arterial stiffness, there is controversy over whether estimated pulse wave velocity (ePWV) add additional prognostic information other than cardiovascular risk factors or traditional risk estimation model in general population. MethodsData from National Health and Nutrition Examination Survey in 1999–2018 was analyzed. Cardiovascular risk factors were collected and Framingham Risk Score (FRS) was calculated. Using all-cause and cardiovascular mortality as outcomes, Cox and restricted cubic spline (RCS) analysis was performed. Receiver operator characteristic (ROC) curves, Harrell's C-statistic and net reclassification index (NRI) analysis were used to assess whether ePWV adds additional predictive value. ResultsThe association between ePWV and outcomes was independent of cardiovascular risk factors (HR = 1.23 [95%CI 1.23–1.50] per m/s for all-cause mortality, and 1.52 [1.30–1.78] for cardiovascular mortality) and FRS (1.22 [1.12–1.32] for all-cause mortality, and 1.32 [1.10–1.59] for cardiovascular mortality). Except for ePWV and all-cause mortality adjusted by FRS, a liner association was found between ePWV and outcomes. For predictive value, the area under ROC and C-index of the model added with ePWV was higher than the one with FRS or risk factors alone (P < 0.01). The elevated ePWV upgraded 1338456 subjects from high-intermediate to high FRS category, and NRI was 3.61 % and 2.62 % for all-cause and cardiovascular deaths, respectively (all P < 0.001). ConclusionsIn general population, the present study demonstrated the association between ePWV and all-cause, cardiovascular mortality is independent of cardiovascular risk factors and traditional risk estimated model. ePWV also added additional information to them in predicting clinical outcomes.

Differences between SCORE, Framingham Risk Score, and Estimated Pulse Wave Velocity-Based Vascular Age Calculation Methods Based on Data from the Three Generations Health Program in Hungary.

Early vascular ageing contributes to cardiovascular (CV) morbidity and mortality. There are different possibilities to calculate vascular age including methods based on CV risk scores, but different methods might identify different subjects with early vascular ageing. We aimed to compare SCORE and Framingham Risk Score (FRS)-based vascular age calculation methods on subjects that were involved in a national screening program in Hungary. We also aimed to compare the distribution of subjects identified with early vascular ageing based on estimated pulse wave velocity (ePWV). The Three Generations for Health program focuses on the development of primary health care in Hungary. One of the key elements of the program is the identification of risk factors of CV diseases. Vascular ages based on the SCORE and FRS were calculated based on previous publications and were compared with chronological age and with each other in the total population and in patients with hypertension or diabetes. ePWV was calculated based on a method published previously. Supernormal, normal, and early vascular ageing were defined as <10%, 10-90%, and >90% ePWV values for the participants. In total, 99,231 subjects were involved in the study, and among them, 49,191 patients had hypertension (HT) and 15,921 patients had diabetes (DM). The chronological age of the total population was 54.0 (48.0-60.0) years, while the SCORE and FRS vascular ages were 59.0 (51.0-66.0) and 64.0 (51-80) years, respectively. In the HT patients, the chronological, SCORE, and FRS vascular ages were 57.0 (51.0-62.0), 63.0 (56.0-68.0), and 79.0 (64.0-80.0) years, respectively. In the DM patients, the chronological, SCORE, and FRS vascular ages were 58.0 (52.0-62.0), 63.0 (56.0-68.0), and 80.0 (76.0-80.0) years, respectively. Based on ePWV, the FRS identified patients with an elevated vascular age with high sensitivity (97.3%), while in the case of the SCORE, the sensitivity was much lower (13.3%). In conclusion, different vascular age calculation methods can provide different vascular age results in a population-based cohort. The importance of this finding for the implementation in CV preventive strategies requires further studies.

Association between estimated pulse wave velocity and all-cause death in patients with heart failure

BackgroundArteriosclerosis has been proven to be a risk factor for the development of heart failure and readmission. ePWV is a novel non-invasive and simple indicator of arterial stiffness, and this study aims to investigate its relationship with all-cause mortality rate in patients with heart failure. MethodsThis study is a cohort study that included 1272 patients with heart failure from NHANES data from 1999 to 2018. The ePWV was divided into three groups, and the cumulative mortality rate of heart failure patients was calculated using KM survival curves. The relationship between ePWV and all-cause mortality rate in heart failure patients was represented by a smoothed curve fitting. COX regression analysis was used to assess the association between ePWV and all-cause mortality rate in heart failure patients. ResultsThe average age of the study population was 67.8 ± 12.6 years, with 862 males and 650 females. During the 12-month follow-up period, there were 790 cases of all-cause mortality. Cox regression analysis was used to validate the relationship between ePWV and all-cause mortality rate in patients with heart failure. Patients with higher levels of ePWV tended to have a higher all-cause mortality rate. After adjustment for multiple factors, an increase in ePWV was positively associated with all-cause mortality rate (HR = 1.17, 95% confidence interval (CI): (1.12, 1.22)). Compared to the lowest tertile, the multivariable-adjusted HR and 95% CI for the highest tertile of ePWV were 1.81 (95% CI: (1.45, 2.27)). Additionally, a smoothed curve fitting was used to observe the relationship between ePWV and mortality rate, where the curve demonstrated a positive correlation between ePWV and all-cause mortality rate. Furthermore, KM survival curves indicated that all-cause mortality rate increased with the increase in ePWV. Subgroup analysis suggested a correlation between ePWV and mortality rate. ConclusionOur study shows that ePWV is positively associated with all-cause mortality in patients with heart failure.