Abstract Background The nomenclature change from non-alcoholic fatty liver disease to metabolic dysfunction-associated steatotic liver disease (MASLD) better encapsulates the associated metabolic milieu. While MASLD is associated with increased heart failure (HF) risk, characteristics and outcomes of MASLD in patients...
N. Chew, Chandramouli Chanchal, W. Tay et al.· Open Heart· 0 citations
BACKGROUND
Although there is evidence linking women to a higher risk of ischemic stroke in AF, it remains uncertain whether there are sex differences in the hazards of HF.
OBJECTIVES
This study sought to evaluate sex differences in the temporal trend of incident heart failure (HF) among patients with atrial fibrillat...
Jia-Yi Huang, Wen-Li Gu, R. Guo et al.· JACC Clinical Electrophysiol...· 0 citations
These findings demonstrate that leveraging phase information via complex-valued neural networks provides a powerful framework for ultrasound motion estimation, showing potential for clinical elastography and functional imaging.
Yang Leng, Yu-Chen Tang, Kai-Hang Yiu et al.· 0 citations
LASr, LAScd and LASb are significant independent predictors of MACE in CMR for assessing prognosis in HCM patients, and LGE quantification was not a significant independent predictor.
Shui-Yan-Yan-Nie Ho, K. Yiu, K. Leung et al.· The International Journal of...· 0 citations
Most patients at high CV risk were not optimally managed, with low rates of LLT initiation, treatment intensification, LDL-C monitoring, and LDL-C goal attainment across 11 databases, highlighting a substantial unmet clinical need for improved guideline-based lipid management to prevent first major CV events in high-ri...
Q. Chan, J. Cegla, U. Laufs et al.· Clinical Research in Cardiol...· 0 citations
In Asian patients with AF-MS, DOACs were associated with an increased 1-year risk for stroke but a decreased risk for MI compared with warfarin, and the 2 groups did not differ in risks for bleeding or all-cause death.
Yu Yang, Chin-Yao Shen, M. Cheng et al.· Annals of Internal Medicine· 0 citations
MolADR is proposed, a multiscale complementary learning framework that integrates GNN-based KG learning with dual-granularity molecular cross-attention modeling to combine macro-level biomedical associations with microlevel molecular interaction cues, suggesting its ability to highlight chemically plausible atoms and f...
Yi-Fan Qi, Qing-Wen Ren, Chen-Xu Wang et al.· Journal of Chemical Informat...· 0 citations
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