Background: The aim of this article is to determine the relationships between aortic wall calcification (AWC) including ascending and descending thoracic aortic calcification and sex, race/ethnicity, age, and traditional risk factors. Allison et al (Arterioscler Thromb Vasc Biol. 2004;24:331-336) previously described the relationship of noted risk factors and AWC as detected by computed tomography (CT) in smaller cohorts. We performed a cross-sectional study to determine which of these variables are independently associated with thoracic calcium.
Methods: The MESA population included a population-based sample of 4 ethnic groups (12% Chinese, 38% white, 22% Hispanic, and 28% black) of 6814 women and men aged 45 to 84 years. Computed tomographic scans were performed for all participants. We quantified AWC, which ranged from the lower edge of the pulmonary artery bifurcation to the cardiac apex. Multivariable logistic regression was used to evaluate relationships between AWC and measured cardiovascular risk factors.
Results: Overall prevalence of AWC was 28.0%. In the ethnic groups, prevalence of AWC was 32.4% Chinese, 32.4% white, 24.9% Hispanic, and 22.4% black. All age categories of females had a higher prevalence of thoracic calcification than males (total age prevalence 29.1% and 26.8%, respectively). Aortic wall calcifications were most strongly associated with hypertension and current smoking. In addition, diabetes, hypercholesterolemia, high level of low-density lipoprotein, low level of high-density lipoprotein, family history of myocardial infarction , and high C-reactive protein were all associated with increased AWC. Overall P value for difference between sexes for prevalence of AWC is 0.037. Overall P value for difference between race for prevalence of AWC is <.001. The only significant sex differences distributed by race were for Chinese (P = .035) and Hispanic (P = .042) participants.
Conclusions: Risk factors for aortic calcification were similar to cardiovascular risk factors in a large population-based cohort. Surprisingly, AWC was similar for the Chinese and white populations despite the fact that MESA demonstrated that coronary calcium was more prevalent in the white population. Further studies are needed to investigate whether aortic calcification is a risk factor for coronary disease, independent of coronary calcification.
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http://dx.doi.org/10.1016/j.ahj.2007.11.019 | DOI Listing |
Environ Pollut
February 2025
State Key Joint Laboratory of Environment Simulation and Pollution Control, School of Environment, State Environmental Protection Key Laboratory of Sources and Control of Air Pollution Complex, Beijing Key Laboratory of Indoor Air Quality Evaluation and Control, Tsinghua University, Beijing, 100084, China.
Ann Intern Med
September 2024
Departments of Pediatrics and Medicine, Case Western Reserve University, and University Hospitals Cleveland Medical Center, Cleveland, Ohio (G.A.M.).
Front Microbiol
July 2024
State Key Laboratory for Conservation and Utilization of Bio-Resources in Yunnan, Yunnan University, Kunming, China.
Background And Aims: Root-knot nematodes (RKN; spp.) are among the highly prevalent and significantly detrimental pathogens that cause severe economic and yield losses in crops. Currently, control of RKN primarily relies on the application of chemical nematicides but it has environmental and public health concerns, which open new doors for alternative methods in the form of biological control.
View Article and Find Full Text PDFNat Genet
August 2024
Google Research, Cambridge, MA, USA.
Although high-dimensional clinical data (HDCD) are increasingly available in biobank-scale datasets, their use for genetic discovery remains challenging. Here we introduce an unsupervised deep learning model, Representation Learning for Genetic Discovery on Low-Dimensional Embeddings (REGLE), for discovering associations between genetic variants and HDCD. REGLE leverages variational autoencoders to compute nonlinear disentangled embeddings of HDCD, which become the inputs to genome-wide association studies (GWAS).
View Article and Find Full Text PDFResuscitation
September 2024
Paris Fire Brigade, 1 place Jules Renard, 75017 Paris, France.
Aims: During out-of-hospital cardiac arrest (OHCA), an automatic external defibrillator (AED) analyzes the cardiac rhythm every two minutes; however, 80% of refibrillations occur within the first minute post-shock. We have implemented an algorithm for Analyzing cardiac rhythm While performing chest Compression (AWC). When AWC detects a shockable rhythm, it shortens the time between analyses to one minute.
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