Sex Differences in Factors Associated With Progression of Aortic Valve Calcification in the General Population

Background: Guidelines recommend measurement of the aortic valve calcification (AVC) score to help differentiate between severe and nonsevere aortic stenosis, but a paucity exists in data about AVC in the general population. The aim of this study was to describe the natural history of AVC progression in the general population and to identify potential sex differences in factors associated with this progression rate. Methods: Noncontrast cardiac computed tomography was performed in 1298 randomly selected women and men aged 65 to 74 years who participated in the DANCAVAS trial (Danish Cardiovascular Screening). Participants were invited to attend a reexamination after 4 years. The AVC score was measured at the computed tomography, and AVC progression (ΔAVC) was defined as the difference between AVC scores at baseline and follow-up. Multivariable regression analyses were performed to identify factors associated with ΔAVC. Results: Among the 1298 invited citizens, 823 accepted to participate in the follow-up examination. The mean age at follow-up was 73 years. Men had significantly higher AVC scores at baseline (median AVC score 13 Agatston Units [AU; interquartile range, 0–94 AU] versus 1 AU [interquartile range, 0–22 AU], P <0.001) and a higher ΔAVC (median 26 AU [interquartile range, 0–101 AU] versus 4 AU [interquartile range, 0–37 AU], P <0.001) than women. In the fully adjusted model, the most important factor associated with ΔAVC was the baseline AVC score. However, hypertension was associated with ΔAVC in women (incidence rate ratios, 1.58 [95% CI, 1.06–2.34], P =0.024) but not in men, whereas dyslipidemia was associated with ΔAVC in men (incidence rate ratio: 1.66 [95% CI, 1.18–2.34], P =0.004) but not in women. Conclusions: The magnitude of the AVC score was the most important marker of AVC progression. However, sex differences were significant; hence, dyslipidemia was associated with AVC progression only among men; hypertension with AVC progression only among women. REGISTRATION: URL: https://www.isrctn.com ; Unique identifier: ISRCTN12157806.

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Impact of pericoronary inflammation assessed by coronary computed tomography angiography on the progression of aortic valve calcification

European Heart Journal ◽

10.1093/ehjci/ehaa946.1907 ◽

2020 ◽

Vol 41 (Supplement_2) ◽

Author(s):

T Misawa ◽

T Sugiyama ◽

Y Kanaji ◽

M Hoshino ◽

M Yamaguchi ◽

...

Keyword(s):

Computed Tomography ◽

Aortic Valve ◽

Computed Tomography Angiography ◽

Coronary Computed Tomography Angiography ◽

Aortic Valve Calcification ◽

Valve Calcification ◽

Coronary Computed Tomography ◽

The Mean ◽

The Impact

Abstract Background Aortic valve calcification (AVC) has been known as an independent predictor for adverse cardiovascular events and all-cause mortality. Previous studies demonstrated that AVC was associated with aortic valve inflammation and atherosclerosis. However, the relationship between the progression of AVC and pericoronary inflammation remains undetermined. Purpose The purpose of this study was to evaluate the impact of the pericoronary inflammation on the progression of AVC. Methods A total of 107 patients with suspected or known chronic coronary syndromes who underwent clinically indicated serial 320-slice coronary computed tomography angiography (CTA) at Tsuchiura Kyodo General Hospital from January 2011 to June 2019 were retrospectively studied. Pericoronary inflammation was assessed by pericoronary adipose tissue attenuation (PCATA) defined as the mean CT attenuation value of PCATA (−190 to −30 Hounsfield units [HU]) on proximal 40 mm segments of coronary arteries. AVC was quantified by Agatston score on CTA. The mean aortic attenuation (HU Aorta) and the standard deviation (SD) in the region of interest at the level of the sinotubular junction was measured. AVC was defined as the threshold for calcium detection (mean HU Aorta + 2SD). AVC index was calculated as follows: (follow-up/baseline) AVC divided by follow-up period. AVC progression was defined as newly-developed AVC at follow-up or an increased AVC index during follow-up. All patients were divided into two groups according to the presence or absence of AVC progression, and clinical characteristics and CT findings were compared between these two groups. Results AVC progression was observed in 26 patients (24.3%) between 2 serial CT examinations (median, 34 months). There was no significant difference in age, gender and the prevalence of other cardiovascular risk factors between the 2 groups. Patients in AVC progression group were associated with higher prevalence of elevated PCATA-LAD, higher LV mass index at baseline and the initial AVC presence. Receiver-operating characteristic curve analysis revealed that the optimal cut off value of PCATA-LAD for predicting AVC progression was −68.26 HU (area under the curve 0.605; 95% confidence interval [CI], 0.465–0.745). Multivariable logistic regression analysis revealed that baseline PCATA-LAD ≥−68.26 HU (odds ratio [OR], 3.12; 95% CI, 1.04–9.35, p=0.042) and the presence of baseline positive AVC (OR, 6.84; 95% CI, 2.34–20.0, p=0.0004) were independent predictors of AVC progression. Conclusions The increased pericoronary inflammation and the presence of AVC may help identify patients with high risk for future AVC progression. Funding Acknowledgement Type of funding source: None

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