Predictive Value of Aortic Valve Calcification for Periprocedural Myocardial Injury in Patients Undergoing Percutaneous Coronary Intervention

Aortic valve calcification predicts poor outcomes after primary percutaneous coronary intervention

BACKGROUND

Aortic valve calcification (AVC) is associated with increased cardiovascular risk in the general population. We sought to investigate whether AVC identified by transthoracic echocardiography could be a predictor of long-term adverse events after primary percutaneous coronary intervention (PCI) in patients with acute myocardial infarction.

METHODS

Patients undergoing primary PCI were consecutively enrolled in this cohort study between 1 January 2009 and 31 December 31 2018. The presence of AVC was identified by transthoracic echocardiography one to three days after PCI. The primary endpoint was major adverse cardiovascular and cerebral events (MACCE) during follow-up. Propensity score matching was adopted to adjust for the baseline differences between groups.

RESULTS

Of 2117 patients enrolled in the study, 566 (26.7%) were found to have AVC. Patients with AVC were older, more likely to be women, and disposed to have comorbidities and complex lesions. During a median follow-up period of 6.1 years, 699 cases of MACCE occurred, including 243 (42.9%) cases in patients with AVC and 456 (29.4%) cases in patients without AVC. After 1:1 propensity score matching, the presence of AVC increased the risk of MACCE (adjusted hazard ratio: 1.442, 95% confidence interval: 1.186 to 1.754, p < 0.001). This difference persisted when sensitivity and subgroup analyses were made.

CONCLUSIONS

AVC identified by transthoracic echocardiography independently increased the long-term risk of MACCE after primary PCI in patients with acute myocardial infarction. This imaging feature will contribute to better risk stratification in this population.

Further Improving Image Quality of Cardiovascular Computed Tomography Angiography for Children With High Heart Rates Using Second-Generation Motion Correction Algorithm

BACKGROUND

The state-of-art motion correction algorithm is inadequate for correcting motion artifacts in coronary arteries in cardiovascular computed tomography angiography (CCTA) for children with high heart rates, and even less effective for heart structures beyond coronary arteries.

PURPOSE

This study aimed to evaluate the effectiveness of a second-generation, whole-heart motion correction algorithm in improving the heart image quality of CCTA for children with high heart rates.

MATERIALS AND METHODS

Forty-two consecutive symptomatic cardiac patients with high heart rates (122.6 ± 18.8 beats/min) were enrolled. All patients underwent CCTA on a 256-row CT using a prospective electrocardiogram-triggered single-beat protocol. Images were reconstructed using a standard algorithm (STD), state-of-the-art first-generation coronary artery motion correction algorithm (MC1), and second-generation, whole-heart motion correction algorithm (MC2). The image quality of the origin of left coronary, right coronary, aortic valve, pulmonary valve, mitral valve, tricuspid valve, aorta root, pulmonary artery root, ventricular septum (VS), and atrial septum (AS) was assessed by 2 experienced radiologists using a 4-point scale (1, nondiagnostic; 2, detectable; 3, measurable; and 4, excellent); nonparametric test was used to analyze and compare the differences among 3 groups; and post hoc multiple comparisons were used between different methods.

RESULTS

There were group differences for cardiac structures except VS and AS, with MC2 having the best image quality and STD having the worst image quality. Post hoc multiple comparisons showed that MC2 was better than MC1 and STD in all structures except VS and AS where all 3 algorithms performed equally, whereas MC1 was better than STD only in the origin of left coronary, right coronary, and mitral valve.

CONCLUSIONS

A second-generation, whole-heart motion correction algorithm further significantly improves cardiac image quality beyond the coronaries in CCTA for pediatric patients with high heart rates.

Association of Aortic Valve Sclerosis and Clinical Factors in Patients With Acute Myocardial Infarction

BACKGROUND

Since aortic valve sclerosis (AVS) and coronary artery disease (CAD) share similar cardiovascular risk factors, we hypothesized that the clinical profile of patients with acute myocardial infarction (AMI) would be worse in the presence of AVS. The aim of this study was to investigate the association between AVS and clinical factors in patients with AMI.

METHODS

Three hundred and fifteen patients with AMI were consecutively enrolled in the study. Echocardiography was used to assess the aortic valve morphology and left ventricular function. The extent and severity of CAD were assessed by Gensini score and the number of obstructed vessels. The patients were divided into 2 groups according to presence or absence of AVS.

RESULTS

The overall number of patients with AVS was 132 (41.9%). Patients with AVS were older (69.5 ± 11 vs. 59.5 ± 12 years, P < 0.00001). They also had a higher prevalence of hypertension (61% vs. 45%, P = 0.006), prior CAD (33% vs. 23%, P = 0.041), prior AMI (20% vs. 11%, P = 0.019) and a higher percentage were female (32% vs. 19%, P = 0.007) compared with AMI patients without AVS. There was no significant difference between the 2 groups with respect to the Gensini score (P = 0.372). Prior AMI was associated with AVS on age-adjusted logistic regression analyses. A multivariate analysis showed an independent association between the AVS and prior AMI and age (P < 0.0000001, P = 0.022, respectively).

CONCLUSIONS

Our results showed that the presence of AVS is associated with AMI recurrence.