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Aim: The association of overweight/obesity and metabolic dysfunction‐associated steatotic liver disease (MASLD) in young adulthood with subclinical atherosclerosis [coronary artery calcification (CAC) and abdominal aortic calcification (AAC)] by middle age is unknown. Method: In total, 2274 participants aged 28‐39 years from the coronary artery risk development in young adults study at year 10 (1995‐1996) who were re‐examined 15 years later were included. CAC and AAC were measured at year 25 using computed tomography. We examined the utility of three young adult phenotypes (lean group; overweight/obese group; overweight/obese MASLD group) at year 10 in predicting CAC or AAC by middle age. Modified Poisson regression was used to estimate the association between groups and CAC, and AAC. Independent determinates of CAC and AAC were determined with linear regression models. Results: Compared with individuals categorized as lean in young adulthood, the relative risk for CAC by middle age was 1.09 (95% confidence interval: 0.93‐1.28) for those with overweight/obesity and 1.32 (95% confidence interval: 1.08‐1.61) for those with overweight/obesity‐related MASLD. For AAC, no difference was observed between these three groups. Group, systolic blood pressure and group × systolic blood pressure interaction were all the independent determinates for CAC. Conclusion: In this study, young adults with overweight/obesity‐related MASLD have a higher risk of developing CAC by middle age. These abnormalities are only partially explained by traditional cardiovascular risk factors, and overweight/obesity‐related MASLD has an independent impact on CAC. Our study provides evidence for identifying young adults at higher risk of developing subclinical atherosclerosis. [ABSTRACT FROM AUTHOR]

Background: Metabolic dysfunction-associated steatotic liver disease (MASLD) increases the risk of cardiovascular disease and existing evidence indicates that MASLD affects the cardiovascular system through systemic inflammation. Our aim was to assess the association of hematological biomarkers of inflammation with the 10-year risk of major adverse cardiovascular events (MACE) and all-cause mortality in MASLD patients. Methods: A total of 1858 MASLD participants from the Atherosclerosis Risk in Communities cohort study at visit 2 (1990– 1992) were included. A total of 1338 non-MASLD participants were also included in the comparison. At baseline, hematological biomarkers of inflammation such as leukocytes, neutrophils, lymphocytes, monocytes, and C-reactive protein (CRP) were measured. Participants were followed up for MACE and all-cause mortality for a period of 10 years. Multivariate adjusted Cox models were used to estimate hazard ratios (HR). Results: The 10-year MACE was higher in MASLD participants than in non-MASLD participants (20.8% vs 9.3%). Monocytes (HR 1.114, [95% CI, 1.022– 1.216] per 1-SD, P=0.015) and CRP (HR 1.109 [95% CI, 1.032– 1.190] per 1-SD, P=0.005) were associated with an increased 10-year risk of MACE, independent of other cardiovascular risk factors. This association was specific to the MASLD population. None of these hematological biomarkers demonstrated a significant association with 10-year all-cause mortality. Conclusion: Increased levels of monocytes and CRP were associated with an increased 10-year risk of MACE in the MASLD population. Hematological biomarkers of inflammation may help identify MASLD populations at higher risk for cardiovascular events. [ABSTRACT FROM AUTHOR]

In order to improve the reliability of power supply, it is necessary to study the intelligent transformer of the key equipment in the smart substation. Firstly, the transformer model based on the magnetic coupling mechanism is given according to the magnetic coupling characteristics of the transformer. Then, considering the static coupling characteristics of the transformer under high frequency conditions, an improved transformer model based on wide frequency mechanism is obtained. Finally, the effectiveness of the proposed model is verified by comparing the simulation data with the actual measured data for an actual object.