scholarly journals Aortic stenosis calcium scoring in a racially mixed sample

2020 ◽  
Vol 90 (4) ◽  
Author(s):  
Daniel Brito ◽  
Igor Goykhman ◽  
Kevin Bryan Lo ◽  
Yaser Alhamshari ◽  
Jorge Luis Peñalver ◽  
...  

Aortic stenosis (AS) is common and increasing in prevalence as the population ages. Using computed tomography (CT) to quantify aortic valve calcification (AVC) it has been reported that men have greater degrees of calcification than women among subjects with severe AS. These data, however, were derived in largely Caucasian populations and have not been verified in non-Caucasian subjects. This retrospective study identified 137 patients with severe AS who underwent valve replacement and had CT scans within 6 months prior to surgery. AVC scores were compared between men and women, both in the entire sample and in racial subgroups. 52% of subjects were male and 62.8% were non-Caucasian. Mean AVC score for the entire cohort was 3062.08±2097.87 with a range of 428-13,089. Gender differences in aortic valve calcification were found to be statistically significant with an average AVC score of 3646±2422 in men and 2433±1453 in women (p=0.001). On multivariate analysis, gender remained significantly associated with AVC score both in the entire sample (p=0.014) and in the non-Caucasian subgroup (p=0.008). Mean AVA was significantly greater in males than females but this difference disappeared when AVA was indexed to BSA (p=0.719). AVA was not different between racial groups (p=0.369). In this research we observed that among subjects with severe AS men have higher AVC scores than women regardless of racial background. This is consistent with previous studies in predominantly Caucasian populations.

2013 ◽  
Vol 37 (1) ◽  
pp. 26-31 ◽  
Author(s):  
Olcay Aksoy ◽  
Akin Cam ◽  
Shikhar Agarwal ◽  
Mobolaji Ige ◽  
Rayan Yousefzai ◽  
...  

Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Dragos Alexandru ◽  
Florentina Petillo ◽  
Simcha Pollack ◽  
Nathaniel Reichek ◽  
Eddy Barasch

Background: In severe aortic stenosis (AS), qualitative estimation of aortic valve calcification (AVC) burden by echocardiography has diagnostic and prognostic value. Hypothesis: there is a weak association between a qualitative calcium score (QCS) by TEE and AV weight in severe AS. Methods: Between 2010-2014, of 719 pts who underwent surgical AVR for isolated severe AS, QCS was feasible in 483 (67%): mean age 76.7 ± 9.5 yrs, 59% males, EF 56 ±12%, AVAi 0.35 ±0.09 cm2/m2, AVW 2.45 ± 0.09 g, QCS 3.5± 0.57, 11% bicuspid valves . AVC was determined using short- and long-axis views and graded as mild (1) localized, small, nondense calcifications to severe (4) extensive thickening and calcification of all cusps. TEEs were done on the day of surgery and excised valves were weighed. Independent t-test, Fisher’s exact test, analysis of variance, and Pearson correlation were done as appropriate. Results: Intraclass correlations for intra and interobserver variability were 0.76 and 0.53 , respectively.The association between indices of AS severity and AVC burden, is stronger for AVW than for QCS (table).19 pts had QCS = 2, 183 = 3 and 280 = 4. A QCS of 2 to 4 corresponded to an AVW of 1 to 6 g. The correlation between QCS and AVW was 0.11, p=.01, and 0.09, p =.04 when controlling for age, sex and BSA. QCS-AVW association was gender dependent : for females (196), who had a lower severity of stenosis, r=0.23, p=0.001, for males (286), r=0.02, p=.68 with p =.02 for the difference. Conclusions: 1. In severe AS, QCS by TEE has limited reliability with no relationship with AVW in males and a weak one in females. 2. The utilization of QCS in severe AS even when employing TEE is weakly associated with total AVC burden and should probably be replaced by quantitative objective non- echocardiographic methods.


2020 ◽  
Author(s):  
Verena Veulemans ◽  
Kerstin Piayda ◽  
Oliver Maier ◽  
Georg Bosbach ◽  
Amin Polzin ◽  
...  

2015 ◽  
Vol 31 (10) ◽  
pp. S312-S313 ◽  
Author(s):  
L. Simard ◽  
F. Dagenais ◽  
P. Pibarot ◽  
P. Mathieu ◽  
A. Mahmut ◽  
...  

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