Peripheral Artery Disease

Prediction of Citrullination Sites on the Basis of mRMR Method and SNN.

BACKGROUND: Citrullination, an important post-translational modification of proteins, alters the molecular weight and electrostatic charge of the protein side chains. Citrulline, in protein sequences, is catalyzed by a class of Peptidyl Arginine Deiminases (PADs). Dependent on Ca2+, PADs include five isozymes: PAD 1, 2, 3, 4/5, and 6. Citrullinated proteins have been identified in many biological ...

Relationship of the low-density lipoprotein (LDL)/high-density lipoprotein (HDL) index with antioxidant enzymes and with the oxLDL/HDL index.

INTRODUCTION: The low-density lipoprotein (LDL)/high-density lipoprotein (HDL) index is a predictive factor for atherosclerosis, which is associated with oxidative modifications.

Machine Learning Outperforms ACC / AHA CVD Risk Calculator in MESA.

Background Studies have demonstrated that the current US guidelines based on American College of Cardiology/American Heart Association (ACC/AHA) Poole...

Proton pump inhibitors receiving and prognosis of patients after scheduled percutaneous coronary interventions.

AIM: The urgency of the study is determined by the lack of data necessary in order to assess the safety of prolonged use of proton pump inhibitors (PP...

Lumen Segmentation in Optical Coherence Tomography Images using Convolutional Neural Network.

Lumen segmentation in Optical Coherence Tomography (OCT) images is a very important step to analyze points of interest that may help on atherosclerosi...

[Medical computer-aided detection method based on deep learning].

This paper performs a comprehensive study on the computer-aided detection for the medical diagnosis with deep learning. Based on the region convolutio...

Can We Train Machine Learning Methods to Outperform the High-dimensional Propensity Score Algorithm?

The use of retrospective health care claims datasets is frequently criticized for the lack of complete information on potential confounders. Utilizing...

Automatic Calcium Scoring in Low-Dose Chest CT Using Deep Neural Networks With Dilated Convolutions.

Heavy smokers undergoing screening with low-dose chest CT are affected by cardiovascular disease as much as by lung cancer. Low-dose chest CT scans ac...

Expert curation for building network-based dynamical models: a case study on atherosclerotic plaque formation.

http://biomodels.caltech.edu.

Predictive Factors for Post-Ischemic Compartment Syndrome in Non-Traumatic Acute Limb Ischemia in a Lower Extremity.

: Compartment syndrome (CS) is serious complication following revascularization of acute limb ischemia (ALI). However, predictive factors associated w...

[Comparison of outcomes of two minimally invasive approaches for multi-vessel coronary revascularization].

OBJECTIVE: To compare the safety and effectiveness of two minimally invasive approaches for multi-vessel coronary revascularization.

The role of Lp-PLA and biochemistry parameters as potential biomarkers of coronary artery disease in Asian South-Indians: a case-control study.

BACKGROUND: Coronary artery disease (CAD) is the leading cause of death and disability worldwide. Lipoprotein associated phospholipase A (Lp-PLA) is a...

Metabolic acidosis of chronic kidney disease and subclinical cardiovascular disease markers: Friend or foe?

The effect of chronic metabolic acidosis (MA) on cardiovascular disease (CVD) in the setting of chronic kidney disease (CKD) is largely unknown. There...

Apolipoprotein A-I Modulates Atherosclerosis Through Lymphatic Vessel-Dependent Mechanisms in Mice.

Endothelial Function and Vascular Properties in Severe Aortic Stenosis Before and After Aortic Valve Replacement Surgery.

INTRODUCTION: The degenerative process that results in aortic valve stenosis (AS) has pathophysiological features similar to the atherosclerotic proce...

The role of urotensin II and atherosclerotic risk factors in patients with slow coronary flow.

BACKGROUND: Slow coronary flow (SCF) is an angiographic finding characterized with delayed opacification of epicardial coronary arteries without obstr...

[Clinical medication characteristics of Shuxuening injection in treatment of cerebral infarction research based on registration].

To understand the medication characteristics of Xingxue@Shuxuening solutions in the real world, multi-center, large-sample-size registration design me...

Bailouts to LIMA Damage for Avoiding Conversion in Minimal Access Coronary Procedures.

Minimally invasive and robotic coronary revascularization strategies offer less pain, fewer adverse events, better cosmesis, and speedier recovery. Th...

Length of Hospital Stay Prediction at the Admission Stage for Cardiology Patients Using Artificial Neural Network.

For hospitals' admission management, the ability to predict length of stay (LOS) as early as in the preadmission stage might be helpful to monitor the...

Body posture recognition and turning recording system for the care of bed bound patients.

This paper proposes body posture recognition and turning recording system for assisting the care of bed bound patients in nursing homes. The system co...