Aim To assess the prevalence of persistent lipid abnormalities in statin-treated patients with diabetes with and without the metabolic syndrome.Methods This was a cross-sectional study of 22 063 statin-treated outpatients consecutively recruited by clinicians in Canada and 11 European countries. Patient cardiovascular risk factors, risk level, lipid measurements and lipid-modifying medication regimens were recorded.Results Of the 20 129 subjects who had documented diabetes and ⁄ or metabolic syndrome status, 41% had diabetes (of whom 86.8% also had the metabolic syndrome). Of those with diabetes, 48.1% were not at total cholesterol target compared with 58% of those without diabetes. Amongst those with diabetes, 41.6 and 41.3% of those with and without the metabolic syndrome, respectively, were not at their LDL cholesterol goal relative to 54.2% of those with metabolic syndrome and without diabetes, and 52% of those with neither condition. Twenty per cent of people with diabetes but without the metabolic syndrome were not at the optimal HDL cholesterol level compared with 9% of those with neither condition. Of people with diabetes and the metabolic syndrome, 49.9% were not at optimal triglyceride level relative to 13.5% of people with neither diabetes nor the metabolic syndrome. Simvastatin was the most commonly prescribed statin (> 45%) and the most common statin potency was 20-40 mg ⁄ day (simvastatin equivalent). Approximately 14% of patients were taking ezetimibe alone or in combination with a statin.Conclusions Despite evidence supporting the benefits of lipid modification and international guideline recommendations, statin-treated patients with diabetes had a high prevalence of persistent lipid abnormalities. There is frequently room to optimize therapy through statin dose up-titration and ⁄ or addition of other lipid-modifying therapies.
Approximately 20% of hepatitis C virus (HCV) infected individuals clear the virus. Host factors that influence the course of HCV infection are still under investigation, and the data on the association of human leukocyte antigen (HLA) alleles and HCV clearance are scarce and controversial. The aims of this study were to investigate whether HLA alleles are associated with clearance of HCV infection in a highly admixed Brazilian population and whether these associations could be influenced by ethnicity and route of infection. HLA-A, -B, -C, -DRB1 and -DQB1 genotyping were performed in 135 HCV-infected Brazilian patients among which 45 cleared HCV infection (cases) and 90 had persistent viral infection (controls). Controls were matched by sex, ethnicity (withes and non-whites) and route of infection (high infectious dose or low infectious dose). No significant association was identified between HLA alleles and the outcome of HCV infection when analyzing the sample as a single group. However, a new protective association of HLA-DQB1*04 (P = 0.006; P(c) = 0.030) and a rarely described association of HLA-DRB1*08 (P = 0.004; P(c) = 0.048) were found only among white patients. The DRB1*11 allele, previously reported in homogeneous population, was associated with HCV clearance (P = 0.020) only among patients with expected high-dose exposure. These findings confirm the influence of ethnicity on the associations of HLA with spontaneous viral clearance of HCV infection and emphasize the possible influence of route of infection in this process.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2025 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.