Accuracy of Pulse Wave Velocity Predicting Cardiovascular and All-Cause Mortality. A Systematic Review and Meta-Analysis

Sequí‐Domínguez, Irene; Cavero‐Redondo, Iván; Álvarez‐Bueno, Celia; Pozuelo‐Carrascosa, Diana P.; Arenas‐Arroyo, Sergio Núñez de; Martínez‐Vizcaíno, Vicente

doi:10.3390/jcm9072080

Cited by 87 publications

(76 citation statements)

References 42 publications

(93 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…arterial stiffness, across a wide age range, and irrespective of age, sex, and cardiovascular comorbidity. 40 . The observed 1.31 m/s difference in PWV between individuals with low and high handgrip strength can be translated into a more than 15% increased risk of CV events, more than 15% higher CV mortality, and more than 15% increased all-cause mortality, which underlines that the relationships investigated here are clinically relevant 41 .…”

Section: Discussionmentioning

confidence: 99%

Low muscle strength and increased arterial stiffness go hand in hand

König

Buchmann

Seeland

et al. 2021

Sci Rep

View full text Add to dashboard Cite

Low handgrip strength and increased arterial stiffness are both associated with poor health outcomes, but evidence on the relationship between handgrip strength and arterial stiffness is limited. In this cross-sectional analysis of combined baseline datasets from the LipidCardio and Berlin Aging Study II cohorts we aimed to examine whether handgrip strength (HGS) is associated with arterial stiffness. 1511 participants with a median age of 68.56 (IQR 63.13–73.08) years were included. Arterial stiffness was assessed by aortal pulse wave velocity (PWV) with the Mobil-O-Graph device. Handgrip strength was assessed with a handheld dynamometer.The mean HGS was 39.05 ± 9.07 kg in men and 26.20 ± 7.47 kg in women. According to multivariable linear regression analysis per 5 kg decrease in handgrip strength there was a mean increase in PWV of 0.08 m/s after adjustment for the confounders age, sex, coronary artery disease, systolic blood pressure, body mass index, cohort, and smoking. Thus, there was evidence that low handgrip strength and increased arterial stiffness go hand in hand. Arterial stiffness can possibly create the missing link between low handgrip strength and increased cardiovascular morbidity and mortality. Causality and direction of causality remain to be determined.

show abstract

Section: Discussionmentioning

confidence: 99%

Low muscle strength and increased arterial stiffness go hand in hand

König

Buchmann

Seeland

et al. 2021

Sci Rep

View full text Add to dashboard Cite

show abstract

“…For example, pulse wave velocity and the augmentation index calculated from the time-domain pulse waveform are indicators of arterial stiffness 9 , 10 . Increased arterial stiffness has been associated with an increased risk of developing cardiovascular diseases and all-cause mortality 11 , 12 . Aging, hypertension, peripheral cardiovascular disease, hypercholesterolaemia, and diabetes were noted to influence arterial properties and modify the amplitude and timing of forward and backward waves 13 , 14 .…”

Section: Introductionmentioning

confidence: 99%

Classification of patients with Alzheimer’s disease using the arterial pulse spectrum and a multilayer-perceptron analysis

Lin

Hsiu

Chen

et al. 2021

Sci Rep

View full text Add to dashboard Cite

Cerebrovascular atherosclerosis has been identified as a prominent pathological feature of Alzheimer’s disease (AD); the link between vessel pathology and AD risk may also extend to extracranial arteries. This study aimed to determine the effectiveness of using arterial pulse-wave measurements and multilayer perceptron (MLP) analysis in distinguishing between AD and control subjects. Radial blood pressure waveform (BPW) and finger photoplethysmography signals were measured noninvasively for 3 min in 87 AD patients and 74 control subjects. The 5-layer MLP algorithm employed evaluated the following 40 harmonic pulse indices: amplitude proportion and its coefficient of variation, and phase angle and its standard deviation. The BPW indices differed significantly between the AD patients (6247 pulses) and control subjects (6626 pulses). Significant intergroup differences were found between mild, moderate, and severe AD (defined by Mini-Mental-State-Examination scores). The hold-out test results indicated an accuracy of 82.86%, a specificity of 92.31%, and a 0.83 AUC of ROC curve when using the MLP-based classification between AD and Control. The identified differences can be partly attributed to AD-induced changes in vascular elastic properties. The present findings may be meaningful in facilitating the development of a noninvasive, rapid, inexpensive, and objective method for detecting and monitoring the AD status.

show abstract

“…We assessed cf-PWV using applanation tonometry (SphygmoCor, Atcor Medical, Sydney, Australia) [26] and used the median of at least three consecutive cf-PWV recordings in our analyses. Because of its established clinical relevance [26][27][28], cf-PWV was our main outcome measure of interest.…”

Section: Arterial Measurementsmentioning

confidence: 99%

“…We studied whether the associations were independent of key demographics, cardiovascular risk factors and lifestyle factors, and assessed to what extent the associations were explained by mean glycaemia. Based on previous work [25], we hypothesised that CGM-derived indices of GV would be most strongly associated with carotid-femoral pulse wave velocity (cf-PWV), which is the gold-standard measure of aortic stiffness because of its independent association with incident CVD, cardiovascular mortality and all-cause mortality [26][27][28]. In secondary analyses, we assessed the associations of CV (CV CGM ), an index that is intrinsically adjusted for mean glycaemia, and time in range (TIR CGM ), an emerging glycaemic index that is partly determined by GV [29], with the same arterial outcome variables.…”

Section: Introductionmentioning

confidence: 99%

Greater daily glucose variability and lower time in range assessed with continuous glucose monitoring are associated with greater aortic stiffness: The Maastricht Study

et al. 2021

View full text Add to dashboard Cite

Aims CVD is the main cause of morbidity and mortality in individuals with diabetes. It is currently unclear whether daily glucose variability contributes to CVD. Therefore, we investigated whether glucose variability is associated with arterial measures that are considered important in CVD pathogenesis. Methods We included participants of The Maastricht Study, an observational population-based cohort, who underwent at least 48 h of continuous glucose monitoring (CGM) (n = 853; age: 59.9 ± 8.6 years; 49% women, 23% type 2 diabetes). We studied the cross-sectional associations of two glucose variability indices (CGM-assessed SD [SDCGM] and CGM-assessed CV [CVCGM]) and time in range (TIRCGM) with carotid–femoral pulse wave velocity (cf-PWV), carotid distensibility coefficient, carotid intima–media thickness, ankle–brachial index and circumferential wall stress via multiple linear regression. Results Higher SDCGM was associated with higher cf-PWV after adjusting for demographics, cardiovascular risk factors and lifestyle factors (regression coefficient [B] per 1 mmol/l SDCGM [and corresponding 95% CI]: 0.413 m/s [0.147, 0.679], p = 0.002). In the model additionally adjusted for CGM-assessed mean sensor glucose (MSGCGM), SDCGM and MSGCGM contributed similarly to cf-PWV (respective standardised regression coefficients [st.βs] and 95% CIs of 0.065 [−0.018, 0.167], p = 0.160; and 0.059 [−0.043, 0.164], p = 0.272). In the fully adjusted models, both higher CVCGM (B [95% CI] per 10% CVCGM: 0.303 m/s [0.046, 0.559], p = 0.021) and lower TIRCGM (B [95% CI] per 10% TIRCGM: −0.145 m/s [−0.252, −0.038] p = 0.008) were statistically significantly associated with higher cf-PWV. Such consistent associations were not observed for the other arterial measures. Conclusions Our findings show that greater daily glucose variability and lower TIRCGM are associated with greater aortic stiffness (cf-PWV) but not with other arterial measures. If corroborated in prospective studies, these results support the development of therapeutic agents that target both daily glucose variability and TIRCGM to prevent CVD. Graphical abstract

show abstract

Accuracy of Pulse Wave Velocity Predicting Cardiovascular and All-Cause Mortality. A Systematic Review and Meta-Analysis

Cited by 87 publications

References 42 publications

Low muscle strength and increased arterial stiffness go hand in hand

Low muscle strength and increased arterial stiffness go hand in hand

Classification of patients with Alzheimer’s disease using the arterial pulse spectrum and a multilayer-perceptron analysis

Greater daily glucose variability and lower time in range assessed with continuous glucose monitoring are associated with greater aortic stiffness: The Maastricht Study

Contact Info

Product

Resources

About