APOE polymorphism is associated with lipid profile, but not with arterial stiffness in the general population

Background: Cardiovascular diseases (CVD) are the main cause of death and disability in developed countries. In most cases, the progress of CVD is influenced by environmental factors and multifactorial inheritance. The purpose of this study was to investigate the association between APOE genotypes, cardiovascular risk factors, and a noninvasive measure of arterial stiffness in the Brazilian population. Methods: A total of 1493 urban Brazilian individuals were randomly selected from the general population of the Vitoria City Metropolitan area. Genetic analysis of the APOE polymorphism was conducted by PCR-RFLP and pulse wave velocity analyzed with a noninvasive automatic device. Results: Age, gender, body mass index, triglycerides, creatinine, uric acid, blood glucose, blood pressure phenotypes were no different between epsilon 2, epsilon 3 and epsilon 4 alleles. The epsilon 4 allele was associated with higher total-cholesterol (p < 0.001), LDL-C (p < 0.001), total-cholesterol/HDL-C ratio (p < 0.001), LDL/HDL-C ratio (p < 0.001), lower HDL-C values (p < 0.001) and higher risk to obesity (OR = 1.358, 95% CI = 1.019-1.811) and hyperuricemia (OR = 1.748, 95% CI = 1.170-2.611). Nevertheless, pulse wave velocity (p = 0.66) measures were no different between genotypes. The significant association between APOE genotypes and lipid levels persisted after a 5-year follow-up interval, but no interaction between time and genotype was observed for lipids longitudinal behavior. Conclusion: The epsilon 4 allele of the APOE gene is associated with a worse lipid profile in the Brazilian urban population. In our relatively young sample, the observed effect of APOE genotype on lipid levels was not translated into significant effects in arterial wall stiffness.

Screening for serious mental illness in the general population with the K6 screening scale: results from the WHO World Mental Health (WMH) survey initiative

Data are reported on the background and performance of the K6 screening scale for serious mental illness (SMI) in the World Health Organization (WHO) World Mental Health (WMH) surveys. The K6 is a six-item scale developed to provide a brief valid screen for Diagnostic and Statistical Manual of Mental Disorders 4th edition (DSM-IV) SMI based on the criteria in the US ADAMHA Reorganization Act. Although methodological studies have documented good K6 validity in a number of countries, optimal scoring rules have never been proposed. Such rules are presented here based on analysis of K6 data in nationally or regionally representative WMH surveys in 14 countries (combined N = 41,770 respondents). Twelve-month prevalence of DSM-IV SMI was assessed with the fully-structured WHO Composite International Diagnostic Interview. Nested logistic regression analysis was used to generate estimates of the predicted probability of SMI for each respondent from K6 scores, taking into consideration the possibility of variable concordance as a function of respondent age, gender, education, and country. Concordance, assessed by calculating the area under the receiver operating characteristic curve, was generally substantial (median 0.83; range 0.76-0.89; inter-quartile range 0.81-0.85). Based on this result, optimal scaling rules are presented for use by investigators working with the K6 scale in the countries studied. Copyright (c) 2010 John Wiley & Sons, Ltd.

Oral lesions in HIV infected individuals from Ribeirao Preto, Brazil

Objectives: The aim of this study was to diagnosis oral lesions related to HIV infection in individuals followed in the General Hospital of the School of Medicine of Ribeirao Preto, University of Sao Paulo, Brazil. The presence of oral lesions was correlated with gender, age, smoking habit, levels of CD4 lymphocytes, HIV load, time of HIV seropositivity, AIDS condition, use of removable dental prosthesis, and use of HAART. Materials and Methods: 340 HIV infected individuals were selected for this study, all participants of the study were examined by only one practiced dentist which performed anamnesis, peribuccal and oral examination. Results: Oral lesions were observed in 113 of 340 (33.2%) HIV infected individuals. These oral lesions included: oral candidiasis (17.7%) of pseudomembranous (10.8%) and of erythematous types (6.9%), angular cheilitis (13.9%), hairy leukoplakia (11.8%), and oral ulcers (2.1%). Oral candidiasis lesions were more frequently observed in women (p. 033). Smoking addict participants presented a high frequency of tongue hairy leukoplakia (p. 038) and a reduced frequency of oral ulcers (p. 018). Hairy leukoplakia and pseudomembranous candidiasis were inversely correlated to CD4+ L levels and directly correlated with HIV load, behaving as immune depression markers. Hairy leukoplakia and pseudomembranous candidiasis also showed an inverse correlation with HAART use (p < .0001). Patients using mobile dental prosthesis presented a high frequency of erythematous candidiasis (p. 003). Conclusion: The inverse correlation with CD4+ L level and the direct correlation with HIV load suggest that oral lesions could be used as alternative clinical markers for poor immune condition in HIV infected individuals.

A general hazard model for lifetime data in the presence of cure rate

Historically, the cure rate model has been used for modeling time-to-event data within which a significant proportion of patients are assumed to be cured of illnesses, including breast cancer, non-Hodgkin lymphoma, leukemia, prostate cancer, melanoma, and head and neck cancer. Perhaps the most popular type of cure rate model is the mixture model introduced by Berkson and Gage [1]. In this model, it is assumed that a certain proportion of the patients are cured, in the sense that they do not present the event of interest during a long period of time and can found to be immune to the cause of failure under study. In this paper, we propose a general hazard model which accommodates comprehensive families of cure rate models as particular cases, including the model proposed by Berkson and Gage. The maximum-likelihood-estimation procedure is discussed. A simulation study analyzes the coverage probabilities of the asymptotic confidence intervals for the parameters. A real data set on children exposed to HIV by vertical transmission illustrates the methodology.