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

Epidemiological and Clinical Features in Very Old Men and Women (≥80 Years) Hospitalized with Aortic Stenosis in Spain, 2016–2019: Results from the Spanish Hospital Discharge Database

(1) Background: The aging population poses challenges for hospital systems. Aortic stenosis is among the most frequent diseases in very old patients. The aim of this study was to describe gender and age differences in the clinical characteristics of very old patients hospitalized with aortic stenosis (AoS) in Spain from 2016 to 2019. (2): Methods: A retrospective observational study analyzing data from the national surveillance system for hospital data. Variables analyzed were age group, sex, length of stay, deaths, and comorbidity. (3) Results: The analysis included 46,967 discharges. Altogether, 7.6% of the admissions ended in death. The main reason for admission was heart failure (34.3%), and this increased with age (80–84 years: 26% versus 95–99 years: 56.6%; p p < 0.001). In the multivariable analysis, women were admitted with more comorbidities (odds ratio [OR] 1.22, 95% confidence interval [CI] 1.06–1.20). Mortality was similar, albeit women were admitted less for syncope (OR 0.83, 95% CI 0.74–0.93). Women also underwent fewer coronary catheterizations (OR 0.81, 95% CI 0.77–0.87) and echocardiograms (OR 0.96, 95% CI 0.94–0.98). (4) Conclusions: Aortic stenosis leads to a high number of hospital admissions. Women with AoS presented more heart failure and less cardiovascular pathology than men. Also, women are admitted with fewer episodes of syncope and have fewer ultrasounds and catheterizations