Chronic Kidney Disease is a serious public health problem and in clear relation to Climate Change and ecosystem maintenance. Renal health is particularly vulnerable to the impacts of climate change, and dialysis therapy (hemodialysis and PD) has a significant environmental footprint, conditioned by energy consumption and greenhouse gas production. In the last 50 years, people have changed ecosystems faster and more extensively than in any other period in human history.
View Article and Find Full Text PDFCKD prevalence estimation is central to CKD management and prevention planning at the population level. This study estimated CKD prevalence in the European adult general population and investigated international variation in CKD prevalence by age, sex, and presence of diabetes, hypertension, and obesity. We collected data from 19 general-population studies from 13 European countries.
View Article and Find Full Text PDFObjective: To assess SV in our RRT population in the period 1976-2012 as well as the influence of technique transference (TT).
Material And Methods: The study included a retrospective cohort of 993 patients. Data were classified as transplant (Tx), change in technique, exitus or lost to follow-up.
Introduction: Preeclampsia (PE) is a major cause of fetal morbidity and mortality. In the Western World, PE affects 2-7% of pregnancies and is responsible for 50,000 deaths annually. Early detection is a priority as it can change the clinical course, but there are no biomarkers or instrumental methods with high sensitivity and specificity.
View Article and Find Full Text PDFBackground: Many publications report the prevalence of chronic kidney disease (CKD) in the general population. Comparisons across studies are hampered as CKD prevalence estimations are influenced by study population characteristics and laboratory methods.
Methods: For this systematic review, two researchers independently searched PubMed, MEDLINE and EMBASE to identify all original research articles that were published between 1 January 2003 and 1 November 2014 reporting the prevalence of CKD in the European adult general population.
Background: Insulin resistance has been associated with metabolic and hemodynamic alterations and higher cardio metabolic risk. There is great variability in the threshold homeostasis model assessment of insulin resistance (HOMA-IR) levels to define insulin resistance. The purpose of this study was to describe the influence of age and gender in the estimation of HOMA-IR optimal cut-off values to identify subjects with higher cardio metabolic risk in a general adult population.
View Article and Find Full Text PDFBackground: Although the prevalence of chronic kidney disease (CKD) is 10–14%, several prospective studies note a low rate of progression to end-stage renal disease (ESRD) in stages 3 and 4. A correct classification of risk of progression, based on demonstrated predictive factors, would allow better management of CKD. Recent studies have demonstrated the high predictive value of a classification that combines estimated (e) glomerular filtration rate (GFR) and urine albumin–creatinine ratio (ACR).
View Article and Find Full Text PDFObjective: The aim of our study was to evaluate cut-off values for acute coronary syndrome (ACS) diagnosis in patients with chronic renal failure (CRF) for the cardiac biomarkers cardiac troponin I (cTnI) and creatine kinase MB isoenzyme (CK-MB) as compared to the cut-off values proposed by the manufacturers and those frequently used in the laboratory.
Method: We performed a prospective study in patients with CRF with a glomerular filtration rate estimated by the MDRD-4 equation <60 mL/min and admitted with suspected acute coronary syndrome due to clinical history, physical examination, and electrocardiography. cTnI and CK-MB measurements were assessed upon hospitalisation and six months later using two different analytical methods (for cTnI: Access® and Vidas® analysers, and for CK-MB: Access® and Vitros® analysers).
Aims: To describe the distribution of HOMA-IR levels in a general nondiabetic population and its relationships with metabolic and lifestyles characteristics.
Methods: Cross-sectional study. Data from 2246 nondiabetic adults in a random Spanish population sample, stratified by age and gender, were analyzed.