Device Effectiveness for Femoropopliteal Artery Disease Treatment: An Analysis of K-VIS ELLA Registry.

BACKGROUND: Although drug-coated balloons (DCBs) and drug-eluting stents (DES) are frequently used for the treatment of femoropopliteal artery (FPA) disease, their mid- or long-term clinical efficacy in real-world practice is still limited. OBJECTIVES: From the K-VIS ELLA (Korean Vascular Intervention Society Endovascular Therapy in Lower Limb Artery Diseases) multicenter registry cohort, clinical outcomes of drug-eluting devices for FPA lesions in comparison with bare-metal stents (BMS) were evaluated. METHODS: Limbs that underwent percutaneous transluminal angioplasty for FPA lesions with plain old balloon angioplasty (POBA, n = 826), BMS (n = 943), DCBs (n = 778), or DES (n = 227) between 2012 and 2020 were included. The primary outcome was target lesion revascularization (TLR) at 2 years. Inverse probability of treatment weighting was used to account for confounding. RESULTS: After inverse probability of treatment weighting, baseline characteristics were well-balanced among groups. Compared with the 2-year cumulative incidence of TLR with BMS (26.5%), the incidence of TLR was significantly lower in limbs treated with DCBs (15.9%; HR: 0.44; 95% CI: 0.30-0.64; P < 0.001) or DES (15.9%; HR: 0.51; 95% CI: 0.29-0.87; P = 0.014). No significant differences were observed in the risk of TLR between DCBs vs DES (HR: 0.87; 95% CI: 0.51-1.49; P = 0.613) and POBA vs BMS (HR: 0.94; 95% CI: 0.73-1.21; P = 0.626). All-cause mortality was comparable in the 4 groups. Treatment with DCBs showed a more pronounced favorable outcome in limbs with Trans-Atlantic Inter-Society Consensus II type C/D lesions or long lesions (≥150 mm) compared with POBA, BMS, or DES (Pinteraction< 0.05). CONCLUSIONS: In real-world practice, DCBs and DES demonstrated comparably superior midterm outcomes over POBA or BMS in the treatment of FPA lesions.

Empirically identified dietary patterns and metabolic syndrome risk in a prospective cohort study: The Cardiovascular Disease Association Study.

BACKGROUND & AIMS: Dietary pattern is a comprehensive assessment of diet that may reflect the interrelationships between foods. Analysis on actual dietary pattern and metabolic syndrome (MetS) risk are insufficient. This study examined the prospective association between empirically identified dietary patterns and MetS risk in adults aged 40 years or older. METHODS: A total of 11,305 participants (58,318 person-years) without MetS were followed. Predefined 37 food/food groups from the 106-item food frequency questionnaire were used in factor analysis to identify dietary patterns. Subsequently, we conducted a hierarchical clustering analysis of group participants based on their dietary pattern scores. Incidence rate ratios and 95% confidence intervals were estimated using a modified Poisson regression model with a robust error estimator. RESULTS: We identified three similar, but not identical, dietary patterns in men and women separately. The "vegetables/seaweeds" and "meat/poultry/seafood" patterns and MetS risk were associated differently between men and women; in men, the association with MetS risk was inverse for "vegetables/seaweeds" but U-shaped in the "meat/poultry/seafood" pattern, whereas it was positive and inverse in women, respectively. The "non-traditional/non-staple foods" pattern was inversely associated in both men and women. Three and four clusters of the three dietary patterns were observed in men and women, respectively. A cluster in women with a high "vegetables/seaweeds" score (cluster 2) showed higher incidence rate ratios of MetS compared with all other clusters. CONCLUSIONS: In the present study, the "non-traditional/non-staple foods" dietary pattern is possibly beneficial in the development of MetS in both men and women, while the "vegetables/seaweeds" pattern, if their sodium amount is not controlled, may be harmful in the development of MetS among women.

Metabolic Dysfunction-Associated Fatty Liver Disease Increases Colon Cancer Risk: A Nationwide Cohort Study.

INTRODUCTION: The association between nonalcoholic fatty liver disease (NAFLD) and colorectal cancer (CRC) has been controversial. Using the new consensus-driven definition, we evaluated the association of metabolic dysfunction-associated fatty liver disease (MAFLD) with the risk of developing CRC. METHODS: From a nationwide health screening database, we included 8,933,017 participants (48.6% male) aged 40-64 years between 2009 and 2010. Participants were categorized by the presence of fatty liver disease (FLD)-NAFLD and MAFLD, separately-and by the combination of the 2 definitions: neither FLD, NAFLD only, MAFLD only, or both FLD. The primary outcome was the development of CRC. RESULTS: Among the participants, 2,517,330 (28.2%) had NAFLD, and 3,337,122 (37.4%) had MAFLD, whereas 2,465,151 (27.6%) met both NAFLD and MAFLD definitions. Over a median follow-up period of 10.1 years, 60,888 new CRC cases developed. NAFLD and MAFLD were each associated with a significantly higher risk of developing CRC. When the neither FLD group was the reference, multivariable-adjusted hazard ratios (95% confidence interval) for CRC were 1.16 (1.06-1.28) in the NAFLD only group, 1.18 (1.16-1.20) in the both FLD group, and 1.32 (1.28-1.35) in the MAFLD only group. The presence of advanced liver fibrosis further increased CRC risk in each FLD group. DISCUSSION: FLD was associated with a higher risk of CRC development. CRC risk was higher in the presence of MAFLD, especially when accompanied by liver fibrosis.

Deep neural network for automatic volumetric segmentation of whole-body CT images for body composition assessment.

BACKGROUND & AIMS: Body composition analysis on CT images is a valuable tool for sarcopenia assessment. We aimed to develop and validate a deep neural network applicable to whole-body CT images of PET-CT scan for the automatic volumetric segmentation of body composition. METHODS: For model development, one hundred whole-body or torso 18F-fluorodeoxyglucose PET-CT scans of 100 patients were retrospectively included. Two radiologists semi-automatically labeled the following seven body components in every CT image slice, providing a total of 46,967 image slices from the 100 scans for training the 3D U-Net (training, 39,268 slices; tuning, 3116 slices; internal validation, 4583 slices): skin, bone, muscle, abdominal visceral fat, subcutaneous fat, internal organs with vessels, and central nervous system. The segmentation accuracy was assessed using reference masks from three external datasets: two Korean centers (4668 and 4796 image slices from 20 CT scans, each) and a French public dataset (3763 image slices from 24 CT scans). The 3D U-Net-driven values were clinically validated using bioelectrical impedance analysis (BIA) and by assessing the model's diagnostic performance for sarcopenia in a community-based elderly cohort (n = 522). RESULTS: The 3D U-Net achieved accurate body composition segmentation with an average dice similarity coefficient of 96.5%-98.9% for all masks and 92.3%-99.3% for muscle, abdominal visceral fat, and subcutaneous fat in the validation datasets. The 3D U-Net-derived torso volume of skeletal muscle and fat tissue and the average area of those tissues in the waist were correlated with BIA-derived appendicular lean mass (correlation coefficients: 0.71 and 0.72, each) and fat mass (correlation coefficients: 0.95 and 0.93, each). The 3D U-Net-derived average areas of skeletal muscle and fat tissue in the waist were independently associated with sarcopenia (P < .001, each) with adjustment for age and sex, providing an area under the curve of 0.858 (95% CI, 0.815 to 0.901). CONCLUSIONS: This deep neural network model enabled the automatic volumetric segmentation of body composition on whole-body CT images, potentially expanding adjunctive sarcopenia assessment on PET-CT scan and volumetric assessment of metabolism in whole-body muscle and fat tissues.

The ACC/AHA 2013 pooled cohort equations compared to a Korean Risk Prediction Model for atherosclerotic cardiovascular disease.

BACKGROUND AND AIMS: To evaluate the performance of the American College of Cardiology/American Heart Association (ACC/AHA) 2013 Pooled Cohort Equations in the Korean Heart Study (KHS) population and to develop a Korean Risk Prediction Model (KRPM) for atherosclerotic cardiovascular disease (ASCVD) events. METHODS: The KHS cohort included 200,010 Korean adults aged 40-79 years who were free from ASCVD at baseline. Discrimination, calibration, and recalibration of the ACC/AHA Equations in predicting 10-year ASCVD risk in the KHS cohort were evaluated. The KRPM was derived using Cox model coefficients, mean risk factor values, and mean incidences from the KHS cohort. RESULTS: In the discriminatory analysis, the ACC/AHA Equations' White and African-American (AA) models moderately distinguished cases from non-cases, and were similar to the KRPM: For men, the area under the receiver operating characteristic curve (AUROCs) were 0.727 (White model), 0.725 (AA model), and 0.741 (KRPM); for women, the corresponding AUROCs were 0.738, 0.739, and 0.745. Absolute 10-year ASCVD risk for men in the KHS cohort was overestimated by 56.5% (White model) and 74.1% (AA model), while the risk for women was underestimated by 27.9% (White model) and overestimated by 29.1% (AA model). Recalibration of the ACC/AHA Equations did not affect discriminatory ability but improved calibration substantially, especially in men in the White model. Of the three ASCVD risk prediction models, the KRPM showed best calibration. CONCLUSIONS: The ACC/AHA Equations should not be directly applied for ASCVD risk prediction in a Korean population. The KRPM showed best predictive ability for ASCVD risk.

Is high-sensitivity C-reactive protein associated with carotid atherosclerosis in healthy Koreans?

BACKGROUND: There is a positive association between chronic inflammation and the risk of cardiovascular disease, but whether there is an association between C-reactive protein (CRP) and carotid atherosclerosis is controversial. We investigated the relationship between high-sensitivity CRP (hsCRP) levels and carotid intima-media thickness (IMT) in healthy Koreans. DESIGN: We measured hsCRP levels, the carotid IMT, and conventional cardiovascular risk factors including obesity parameters, blood pressure, lipid profiles, insulin resistance, and smoking habits in 820 volunteers (35-79 years old) in a cross-sectional study. RESULTS: Higher hsCRP quartile groups had higher mean IMTs, as compared with the lowest quartile (P < 0.001 for the trend across quartiles). However, after adjustment for age, the relationship between hsCRP level and IMT was substantially weaker (P = 0.018). After additional adjustments for conventional cardiovascular risk factors, no significant association was observed (P = 0.548). The unadjusted risk for a high carotid IMT value (> or = 1.0 mm) was also positively related to hsCRP quartile, but this relationship was not significant after adjustment for age and other cardiovascular risk factors. CONCLUSIONS: Both hsCRP levels and the carotid IMT were strongly correlated with conventional cardiovascular risk factors, but there was no independent association between hsCRP levels and carotid IMT in healthy Korean adults.