Association of Candidate Gene Polymorphisms With Chronic Kidney Disease: Results of a Case-Control Analysis in the Nefrona Cohort

Chronic kidney disease (CKD) is a major risk factor for end-stage renal disease, cardiovascular disease and premature death. Despite classical clinical risk factors for CKD and some genetic risk factors have been identified, the residual risk observed in prediction models is still high. Therefore, new risk factors need to be identified in order to better predict the risk of CKD in the population. Here, we analyzed the genetic association of 79 SNPs of proteins associated with mineral metabolism disturbances with CKD in a cohort that includes 2, 445 CKD cases and 559 controls. Genotyping was performed with matrix assisted laser desorption ionizationtime of flight mass spectrometry. We used logistic regression models considering different genetic inheritance models to assess the association of the SNPs with the prevalence of CKD, adjusting for known risk factors. Eight SNPs (rs1126616, rs35068180, rs2238135, rs1800247, rs385564, rs4236, rs2248359, and rs1564858) were associated with CKD even after adjusting by sex, age and race. A model containing five of these SNPs (rs1126616, rs35068180, rs1800247, rs4236, and rs2248359), diabetes and hypertension showed better performance than models considering only clinical risk factors, significantly increasing the area under the curve of the model without polymorphisms. Furthermore, one of the SNPs (the rs2248359) showed an interaction with hypertension, being the risk genotype affecting only hypertensive patients. We conclude that 5 SNPs related to proteins implicated in mineral metabolism disturbances (Osteopontin, osteocalcin, matrix gla protein, matrix metalloprotease 3 and 24 hydroxylase) are associated to an increased risk of suffering CKD

Survey of physicians' practices in the control of cardiovascular risk factors: the EURIKA study

Objectives: To assess the practices of physicians in 12 European countries in the primary prevention of cardiovascular disease (CVD). Methods: In 2009, 806 physicians from 12 European countries answered a questionnaire, delivered electronically or by post, regarding their assessment of patients with cardiovascular risk factors, and their use of risk calculation tools and clinical practice guidelines (ClinicalTrials.gov number: NCT00882336). Approximately 60 physicians per country were selected (participation rate varied between 3.1% in Sweden and 22.8% in Turkey). Results: Among participating physicians, 85.2% reported using at least one clinical guideline for CVD prevention. The most popular were the ESC guidelines (55.1%). Reasons for not using guidelines included: the wide choice available (47.1%), time constraints (33.3%), lack of awareness of guidelines (27.5%), and perception that guidelines are unrealistic (23.5%). Among all physicians, 68.5% reported using global risk calculation tools. Written charts were the preferred method (69.4%) and the most commonly used was the SCORE equation (35.4%). Reasons for not using equations included time constraints (59.8%), not being convinced of their usefulness (21.7%) and lack of awareness (19.7%). Most physicians (70.8%) believed that global risk-equations have limitations; 89.8% that equations overlook important risk factors, and 66.5% that they could not be used in elderly patients. Only 46.4% of physicians stated that their local healthcare framework was sufficient for primary prevention of CVD, while 67.2% stated that it was sufficient for secondary prevention of CVD. Conclusions: A high proportion of physicians reported using clinical guidelines for primary CVD prevention. However, time constraints, lack of perceived usefulness and inadequate knowledge were common reasons for not using CVD prevention guidelines or global CVD risk assessment tools