The predictive role of aortic propagation velocity for coronary artery disease

Protocol for rheumatoid arthritis complicated with cardiovascular damage treated with Guanxining tablet with a randomized controlled trial

Background

Cardiovascular disease (CVD) is the main cause of death in patients with rheumatoid arthritis (RA). Apart from traditional cardiovascular risk factors, immune dysfunction and chronic inflammation of RA are also risk factors for complex cardiovascular damage. Although methotrexate (MTX) is beneficial to CVD in RA patients by inhibiting inflammation, its adverse effects limit its clinical application. Therefore, it is essential to seek safer and more effective drugs.

Objective

We aimed to assess the efficacy of Guanxining Tablet (GXNT) for rheumatoid arthritis complicated with cardiovascular damage.

Methods

We will conduct a prospective single-center randomized trial. We will randomly divide 56 eligible patients into two groups. The treatment group will take GXNT and MTX treatment, and the control group will receive MTX and the placebo. The primary outcome measure will be aortic distensibility (AD). Secondary outcome measures will be Cardiac function which will contain right ventricular outflow tract diameter (RVOTD), aortic diameter (AOD), left atrium diameter (LAD), right ventricular end diastolic diameter (RVDD), left ventricular end diastolic diameter (LVDD), ejection fraction (EF%), fractional shortening (FS%), stroke volume (SV). Adverse events will be closely monitored during the entire trial period.

Discussion

This trial is intended to determine whether the addition of GXNT will improve the prognosis of patients with rheumatoid arthritis and cardiovascular damage without severe adverse reactions. Completing this clinical trial might provide these patients with a novel and effective drug while avoiding adverse reactions similar to methotrexate.

Trial registration

ChiCTR2000030247.

Aortic propagation velocity in predicting coronary artery disease: A systematic review and meta-analysis

INTRODUCTION

Coronary artery disease (CAD) and its outcome, myocardial infarction, is yet a significant etiology of mortality and morbidity nowadays. The aortic propagation velocity (APV) can be a simple, straightforward and novel echocardiographic index for the risk stratification in the evaluation of CAD. In this meta-analysis, we evaluated the predictive role of APV in CAD.

MATERIAL AND METHODS

Relevant electronic bibliographies (PubMed, ScienceDirect, Scopus, EMbase, the Cochrane library) were explored. Related reports were selected according to the inclusion and exclusion criteria. Meta-analysis was performed using the Comprehensive Meta-analysis 2.0 software.

RESULTS

Eventually, 5 articles met the inclusion criteria and included in the meta-analysis. Five studies with 490 patients reported the APV mean in CAD and non-CAD groups. A random-effect model was used and the pooled findings demonstrated a significant higher APV in non-CAD group compared to CAD group (SMD: 2.39, 95% CI: 1.70-3.07, P < .001, I2: 84%, Q: 19.03). The diagnostic value of APV in predicting CAD showed 86.3% sensitivity (95% CI: 74-91, P value < .001, I2: 65%, Q: 8.53, P value: .03) and 83.8% specificity (95% CI: 69-94, P value < .001, I2: 60%, Q: 9.89, P value: .01).

CONCLUSION

There was a predictive role of APV in CAD with suitable specificity and sensitivity. Moreover, aortic distensibility and aortic strain were significantly different in CAD and non-CAD patients. APV could be used as a good noninvasive tool for screening CAD.

Predictive role of novel echocardiographic parameter aortic velocity propagation, QRISK3 and Framingham risk score for presence and severity of CAD in Asian patients

Introduction: Despite having clinical relevance, arterial stiffness is neglected and not routinely used parameter for evaluation of atherosclerosis. This study aimed to investigate the predictive role of simple non-invasive echocardiographic index of aortic stiffness aortic velocity propagation (AVP), Framingham risk score (FHS) and QRISK3 score for presence and severity of CAD. Methods: This cross-sectional comparative study included 250 patients who required conventional coronary angiogram for stable CAD. The relationship of AVP, FHS and QRISK3 score with CAD were evaluated using spearman’s correlation, logistic regression analysis and ROC curve. Results: On logistic regression analysis, AVP, FHS and QRISK3 were found significant predictors for the presence and severity of CAD. Inverse correlation between AVP and presence of CAD, number of coronary vessels involved and severity of CAD was observed with P=0.001. AVP value≤78 cm/s predicted presence of CAD with 86.4% sensitivity and 84.6% specificity (P≤0.0001, AUC=0.948) and≤39 cm/s predicted severe CAD (Syntax score>22) with 66.7% sensitivity and 97.9% specificity (P≤0.0001, AUC=0.868). FHS value>10 predicted the presence of CAD with a sensitivity of 33.9% and specificity of 91 % (P=0.01, AUC=0.644). QRISK3value>13.4 predicted presence of CAD with 57.1% sensitivity and 87% specificity (P≤0.0001, AUC=0.788). Conclusion: Arterial stiffness parameter AVP is inversely associated with the presence and severity of CAD. AVP and QRISK3 score may be used as a simple bedside tool for risk stratification of patients suspected of having atherosclerotic CAD.

Aortic propagation velocity in the prediction of coronary artery disease severity

AIMS

To investigate the association of the aortic propagation velocity (APV) with coronary artery disease (CAD) in patients with stable angina pectoris (SAP) through SYNTAX scores (SS).

METHODS

The study population comprised 214 SAP subjects who received a coronary angiography. The APV and carotid intima-media thickness (CIMT) were examined and SS was calculated. Subjects were grouped following specific SS criteria: SS less than 22 (low) and SS greater than or equal to 22 (high).

RESULTS

High SS subjects had lower APV compared to low SS [39.0 (32.0-51.7) vs. 55.0 (45.0-62.0) cm/s, respectively; P<0.001] and higher CIMT (0.86 ± 0.24 vs. 0.74 ± 0.21 mm, respectively; P<0.001). APV demonstrated a negative correlation with the CIMT (r=-0.239, P<0.001), age (r=-0.188, P=0.006) , and SS (r=-0.561, P <0.001) and showed a positive association with LV ejection fraction (r=0.163, P=0.017). APV, CIMT, diabetes, low-density lipoprotein cholesterol (LDL-C), and age were determined to be markers independently of a high SS.

CONCLUSION

APV, CIMT, diabetes, LDL-C and age are independently linked to the CAD severity of SAP subjects. Decreased APV, an indicator of subclinical atherosclerosis, may independently help determine the severity of atherosclerotic CAD in SAP patients.

Aortic elasticity indices as predictors of coronary artery disease severity assessed by SYNTAX score

Background:

Aortic elastic properties have been related to coronary artery disease (CAD) morbidity and mortality. We aimed to assess the relation of aortic elasticity indices to the severity and complexity of CAD assessed using the SYNTAX Score (SS), evaluating which of these indices have better predictivity for CAD severity.

Materials and Methods:

We prospectively enrolled 150 individuals who underwent elective coronary angiography for suspected CAD, out of them 29 (19.3%) had normal or nonsignificant angiographic findings (Group I), whereas 121 (80.7%) had significant CAD (Group II) for whom the SS was calculated. Echo-derived aortic elasticity indices were performed for all patients.

Results:

Logistic regression analyses showed that each of aortic distensibility, stiffness index, elastic modulus, aortic strain, and aortic peak early diastolic velocity were predictors for significant CAD and further for more complex CAD as indicated by intermediate-high SS. Receiver operator characteristic curves-derived cutoff points were performed for each of the aortic elasticity indices. Along with diabetes, decreased aortic strain ≤10.2% was the only independent predictor of intermediate-high SS (odds ratio = 4.31, 95% confidence interval = 1.38–13.50, P = 0.01).

Conclusion:

Simple M-mode derived aortic elasticity indices, particularly aortic strain ≤10.2%, might predict patients with more severe and complex CAD.