Introduction: The current prevalence of chronic kidney disease (CKD) is substantial, and
CKD individuals face a heightened risk of mortality, encompassing both all-cause and cause …

Although bioinformatic methods gained a lot of attention in the latest years, their use in real-
world studies for primary and secondary prevention of atherosclerotic cardiovascular …

Chronic kidney disease (CKD) poses a significant threat to the health and well-being of
patients worldwide, with> 10% of the population affected. Cardiovascular diseases (CVDs) …

Background Cardiorenal syndromes type II (CRS2) is a multi-organ ailment that manifests as
a combination of cardiac and renal dysfunction, resulting in chronic kidney disease due to …

Cardiovascular disease (CVD), a leading cause of death and disability worldwide, and is
associated with a wide range of risk factors, and genetically associated conditions. While …

OBJECTIVE To develop and validate a protein risk score for predicting chronic kidney
disease (CKD) in patients with diabetes and compare its predictive performance with a …

In healthcare, a diagnosis is reached after a thorough physical assessment and analysis of
the patient's medicinal history, as well as the utilization of appropriate diagnostic tests and …

Progression of chronic kidney disease (CKD) portends myriad complications, including
kidney failure. In this study, we analyze associations of 4638 plasma proteins among 3235 …

Introduction: This study aimed to develop and validate machine learning (ML) models based
on serum Klotho for predicting end-stage kidney disease (ESKD) and cardiovascular …

Introduction: Low estimated glomerular filtration rate (eGFR) is associated with an increased
risk of arterial stiffness in participants with kidney damage. It is uncertain whether this …