Cardiovascular complications are a major clinical problem in patients with chronic kidney disease and end-stage renal failure; cardiac death accounts for approximately 40-50% of all deaths in these patients. Death from cardiovascular causes is up to 20 times more common in uremic patients than in the general population with the risk being even higher than in patients with diabetes mellitus. A high rate of myocardial infarction and excessive cardiac mortality have repeatedly been documented in patients with kidney disease and renal failure. Not only is the prevalence of myocardial infarction high, but also the case fatality rate is significantly higher in uremic patients with and without diabetes, respectively, compared to nonuremic patients. This is of particular interest since the prevalence of coronary atheroma in uremic patients was shown to be approximately 30% by autopsy and coronary angiography studies. Thus, coronary factors, i.e. atherosclerosis, and non-coronary factors may play an important role in the genesis of cardiac complications in the renal patient. In addition, renal failure recently has also be identified as a predictor of mortality in different stages of peripheral vascular disease. In particular, marked differences in the pathogenesis, morphology and course of atherosclerosis and arteriosclerosis under the conditions of renal failure have been documented. Among others increased plaque formation and particularly higher proportion and intensity of vascular calcification have been found in clinical and autopsy studies. In addition to the so-called classical or traditional risk factors, an important role for nonclassical risk factors such as microinflammation, hyperphosphatemia and oxidative stress has been documented in patients with renal failure and is discussed in detail.
Download full-text PDF |
Source |
---|---|
http://dx.doi.org/10.1159/000090182 | DOI Listing |
Front Endocrinol (Lausanne)
December 2024
Department of Cardiovascular Medicine, The First Affiliated Hospital of Xi'an Jiaotong University, Xi'an, Shaanxi, China.
Introduction: The Sequential Organ Failure Assessment (SOFA) score is a widely utilized clinical tool for evaluating the severity of organ failure in critically ill patients and assessing their condition and prognosis in the intensive care unit (ICU). Research has demonstrated that higher SOFA scores are associated with poorer outcomes in these patients. However, the predictive value of the SOFA score for acute kidney injury (AKI), a common complication of diabetic ketoacidosis (DKA), remains uncertain.
View Article and Find Full Text PDFBackground: Alport syndrome (AS) is a multifaceted condition that primarily affects the basement membranes of the kidneys, ears, and eyes. AS is considered the second most common cause of hereditary renal failure, exhibiting varied clinical manifestations across different lifespans. The aim of this study is to investigate the clinical features and genetic profile of AS and to elucidate the genotype-phenotype correlation of AS.
View Article and Find Full Text PDFExpert Opin Pharmacother
January 2025
School of Pharmacy, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, Australia.
Introduction: Kidney failure is a life-limiting condition that profoundly impacts an individual's quality of life. The significant medication burden on patients required to manage the comorbidities and complications of kidney failure can have implications for patient-reported and clinical outcomes.
Methods: This work systematically reviewed methods used to assess medication regimen complexity amongst adults with kidney failure, the associated patient-reported and clinical outcomes, and the effectiveness of interventions to address regimen complexity.
Nephrology (Carlton)
January 2025
Jawaharlal Institute of Post Graduate Medical Education and Research, Puducherry, India.
Chronic kidney disease (CKD) prevalence varies widely across different regions of India. We aimed to identify the status of CKD in India, by systematically reviewing the published community-based studies between the period of January 2011 to December 2023. PubMed, Scopus, and EMBASE were searched for peer-reviewed evidence.
View Article and Find Full Text PDFNephrology (Carlton)
January 2025
Faculty of Medicine, Dentistry & Health Sciences Melbourne, The University of Melbourne, Melbourne, Victoria, Australia.
Chronic kidney disease is characterised by the progressive loss of kidney function. However, predicting who will progress to kidney failure is difficult. Artificial Intelligence, including Machine Learning, shows promise in this area.
View Article and Find Full Text PDFEnter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!