Background: The relationship between metabolically healthy obesity (MHO) and cardiovascular disease (CVD) risk remains debated. The critical point may be the lack of consensus on MHO's definition and diagnostic criteria.
Objective: This study aimed to investigate the association of MHO status with arteriosclerosis-CVD (ASCVD) risk in Chinese under new diagnostic criteria.
Methods: Participants aged 35-79 in the 2009 China Health and Nutrition Survey cohort were included. The 10-year ASCVD risk was predicted by the prediction for ASCVD risk in China, and participants with a predicted risk of ⩾ 10% were classified into the high-risk group. The Bayesian network (BN) models were constructed to characterize the multivariable probabilistic connections between metabolically obesity phenotypes and ASCVD risk.
Results: The 10-year ASCVD risk score and the proportion of individuals at ASCVD high risk were significantly different between metabolically obesity phenotypes (P< 0.001). BN reasoning results showed that MHO individuals were not significantly associated with a 10-year ASCVD risk. Among metabolically unhealthy individuals, the conditional probability of high ASCVD risk increased with the Body Mass Index (BMI), with the conditional probability of high ASCVD risk was 24.63% (95% CI: 22.81-26.55%), 32.97% (95% CI: 30.75-35.27%) and 40.2% (95% CI: 36.64-43.86%) for metabolically unhealthy normal weight (MUNW), metabolically healthy overweight weight (MHOW), and metabolically unhealthy obesity (MUO) group, respectively. Subgroup analysis showed that MHO individuals were at increased risk of CVD compared with metabolically healthy normal weight (MHNW) individuals only in females.
Conclusion: These results showed that there was no significant increase in ASCVD risk of MHO phenotype based on the new diagnostic criteria, suggesting that MHO is in a relatively healthy state.
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http://dx.doi.org/10.3233/THC-241472 | DOI Listing |
Am J Prev Cardiol
March 2025
UT Southwestern Medical Center, Department of Medicine, Division of Cardiology, TX, USA.
Objective: Lowering lipid to reach guideline-indicated goals significantly reduces cardiovascular outcomes in very-high-risk (VHR) patients with atherosclerotic cardiovascular disease (ASCVD) and type 2 diabetes (DM2). How well VHR patients currently achieve these goals in community practice is unknown.
Methods: VHR patients with ASCVD and DM2 were identified across 14 US healthcare systems using electronic health records between 1/1/2021-12/31/2022.
Arch Endocrinol Metab
January 2025
Unidade de Endocrinologia Ginecológica Hospital de Clínicas de Porto Alegre Divisão de Endocrinologia Porto AlegreRS Brasil Unidade de Endocrinologia Ginecológica, Divisão de Endocrinologia, Hospital de Clínicas de Porto Alegre, Porto Alegre, RS, Brasil.
Objective: To assess the genotypic and allelic distribution of the rs10046 polymorphism in the gene and evaluate whether this aromatase gene variant is associated with cardiovascular risk in postmenopausal women.
Materials And Methods: This cross-sectional study analyzed repository-stored samples from 370 postmenopausal women aged 44-72 years. Clinical, metabolic, and hormonal data were collected.
Sci Rep
January 2025
Gachon Medical Research Institute, Gachon Biomedical Convergence Institute, Gachon University Gil Medical Center, College of Medicine, Gachon University, Incheon, 21565, Republic of Korea.
The benefit of aspirin in primary prevention for atherosclerotic cardiovascular diseases (ASCVD) is questionable due to bleeding complications. We analyzed the Korean National Health Insurance data to compare the efficacy and overall bleeding of sarpogrelate, an antiplatelet agent with lower bleeding risk, versus aspirin in high-/very-high-risk diabetic populations without prior ASCVD. The primary endpoint was net adverse clinical events (NACE), defined as a composite of efficacy and overall bleeding.
View Article and Find Full Text PDFEur J Prev Cardiol
January 2025
Amsterdam UMC location Vrije Universiteit Amsterdam, Department of General Practice Medicine, De Boelelaan 1117, Amsterdam, The Netherlands.
Aims: To investigate if adding ECG abnormalities as a predictor improves the performance of incident CVD-risk prediction models for people with type 2 diabetes (T2D).
Methods: We evaluated the four major prediction models that are recommended by the guidelines of the American College of Cardiology/American Heart Association and European Society of Cardiology, in 11,224 people with T2D without CVD (coronary heart disease, heart failure, stroke, thrombosis) from the Hoorn Diabetes Care System cohort (1998-2018). Baseline measurements included CVD-risk factors and ECG recordings coded according to the Minnesota Classification as no, minor or major abnormalities.
J Investig Med High Impact Case Rep
January 2025
LSU Health Shreveport, LA, USA.
An 18-year-old teenager with significant atherosclerotic cardiovascular disease (ASCVD) risk factors developed acute chest pain. His electrocardiogram showed inferior ST-segment elevations. Emergent coronary angiogram revealed complete thrombotic occlusion of the right coronary artery.
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