Across seven centers (2015–2023), we studied 1634 ATAAD patients undergoing TAR+FET and, after propensity matching (n = 699), compared elderly (≥ 60) versus non‐elderly (< 60) outcomes. Elderly patients had higher 30‐day mortality and complications (log‐rank p = 0.002), supporting individualized hybrid strategies, organ‐protective perioperative care ...
Jiajun Liang +11 more
wiley +1 more source
Retrospective real-world database study to examine the prevalence and incidence of cardiovascular diseases and medication prescription in Japanese patients with type 2 diabetes. [PDF]
Komatsu M +3 more
europepmc +1 more source
The Role of Extracellular Vesicles MicroRNAs in Sarcopenia: From Aging to Multi‐Morbidity
Exosomes transporting miRNAs play a crucial bidirectional regulatory role in the process of sarcopenia, both in natural aging and under various pathological conditions. ABSTRACT Sarcopenia, defined as progressive loss of skeletal muscle mass and function, occurs during aging and has also been recognized for its detrimental effects in various disease ...
Bingyu Huang, Zhao Peng, Lin Kang
wiley +1 more source
Associations of Life-Course Social Isolation Trajectories and Depressive Symptoms With the Risk of Incident Cardiovascular Disease: A Prospective Cohort Study. [PDF]
Chen S, Jiang P, Zheng Q.
europepmc +1 more source
CFD modeling and sensitivity‐guided design of silicon filament CVD reactors
Abstract Filament‐based chemical vapor deposition (CVD) for silicon (Si) coatings is often treated as an adaptation of planar deposition. But this overlooks fundamental shifts in transport phenomena and reaction kinetics. In filament CVD, the filament acts as a substrate, heat source, and flow disruptor simultaneously. In this work, we ask: What really
G. P. Gakis +8 more
wiley +1 more source
[Consensus statement of the Austrian Society for Rheumatology and Rehabilitation on the management of increased cardiovascular risk in rheumatoid arthritis, psoriatic arthritis and spondyloarthritis]. [PDF]
Lindner B +16 more
europepmc +1 more source
A Machine Learning Model for Interpretable PECVD Deposition Rate Prediction
This study develops six machine learning models (k‐nearest neighbors, support vector regression, decision tree, random forest, CatBoost, and backpropagation neural network) to predict SiNx deposition rates in plasma‐enhanced chemical vapor deposition using hybrid production and simulation data.
Yuxuan Zhai +8 more
wiley +1 more source
Electronic health records reveals resilience patterns of cardiovascular disease in Basque centenarians. [PDF]
Cruces-Salguero S +3 more
europepmc +1 more source

