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. 2019 Apr 9;6:41. doi: 10.3389/fcvm.2019.00041

Table 1.

Summary of recent studies showing the association between pulse wave velocity and coronary atherosclerosis.

Source Number of patients Population Mean age (years) Design PWV Summary of findings
Kim et al. (38) 83 Type 2 diabetes 64 Cross-sectional baPWV The AUC of baPWV for coronary artery stenosis (>20%) on CCTA was 0.672
Funck et al. (33) 45 Type 2 diabetes 63 Longitudinal cfPWV Baseline cfPWV was associated with high-risk subtype of coronary plaque volume on CCTA measured after 5-yearf follow-up, independently of age, sex, diabetes, and blood pressure
Chiha et al. (31) 344 Suspected CAD undergoing invasive CAG 61 Cross-sectional cfPWV cfPWV correlated with the extent of CAD, as measured by the “Extent” score (r = 0.21, P = 0.001)
Lee et al. (41) 1,124 Undergoing health check-up 44 Longitudinal baPWV Baseline higher baPWV was significantly correlated with the progression of CAC during 2.7 year of follow-up
Vishnu et al. (44) 1,131 Community population (men) 45 Cross-sectional baPWV baPWV was associated with the presence of CAC
Torii et al. (43) 986 Community population 986 Cross-sectional baPWV Prevalence of CAC progressively increased with rising levels of baPWV.
Cainzos-Achirica et al. (46) 15,185 Undergoing health check-up 42 Cross-sectional baPWV The multivariable-adjusted odds ratios for CAC > 0 comparing baPWV quintiles 2–5 vs. quintile 1 were 1.06, 1.24, 1.39, and 1.60, respectively (P trend < 0.001)
Duman et al. (32) 103 Suspected CAD undergoing invasive CAG 55 Cross-sectional cfPWV A highly positive correlation was observed between CAD severity and PWV (r = 0.838, P = 0.001)
Braber et al. (35) 193 Sportsmen 55 Cross-sectional cfPWV Adding cfPWV to traditional risk factor models did not change the AUC from 0.78 to AUC 0.78 (P = 0.99) for prediction of CAD on CCTA
Kim et al. (39) 470 Suspected CAD undergoing CCTA 470 Cross-sectional baPWV baPWV showed significant correlation with segment stenosis score, segment involvement score, CAC, and the number of segment with non-calcified plaque, mixed plaque, and calcified plaque on CCTA, respectively
Hofmann et al. (34) 155 Undergoing coronary bypass surgery 67 Cross-sectional cfPWV cfPWV was strongly associated with the severity of the patients' CAD (P < 0.001)
Chung et al. (37) 703 Suspected CAD undergoing invasive CAG 73 Cross-sectional baPWV baPWV was significantly associated with the SYNTAX score (R2 = 0.525, P < 0.001)
Kim et al. (40) 501 Suspected CAD undergoing invasive CAG 59 Cross-sectional baPWV baPWV was significantly associated with modified Gensini stenosis score (P = 0.033) and vessel disease score (P < 0.001) even after controlling for potential confounders
Chae et al. (36) 651 Suspected CAD undergoing invasive CAG 58 Cross-sectional baPWV baPWV was associated with the presence of obstructive CAD but not with CAD extent
Bechlioulis et al. (30) 393 Suspected CAD undergoing invasive CAG 61 Cross-sectional cfPWV Increased cfPWV was associated with CAD in overweight and obese patients (body mass index ≥ 25kg/m2; waist circumference ≥ 94 cm in men and ≥ 80 cm in women; P < 0.05)
Xiong et al. (45) 321 Suspected CAD undergoing invasive CAG 65 Cross-sectional baPWV Multivariable analysis showed that baPWV was independently associated with the SYNTAX score (P < 0.001)
Nam et al. (42) 615 Undergoing health check-up 53 Cross-sectional baPWV baPWV was associated with obstructive CAD on CCTA. The optimal cut-off value for the detection of obstructive CAD was 1,426 cm/s

PWV, pulse wave velocity; baPWV, brachial-ankle pulse wave velocity; AUC, area under curve; CCTA, coronary computed tomography angiography; cfPWV, carotid-femoral pulse wave velocity; CAD, coronary artery disease; CAG, coronary angiography; CAC, coronary artery calcium; SYNTAX, SYNergy between percutaneous coronary intervention with TAXus and cardiac surgery.