Clustering of HCV coinfections on HIV phylogeny indicates domestic and sexual transmission of HCV.

BACKGROUND: HCV coinfection remains a major cause of morbidity and mortality among HIV-infected individuals and its incidence has increased dramatically in HIV-infected men who have sex with men(MSM). METHODS: Hepatitis C virus (HCV) coinfection in the Swiss HIV Cohort Study(SHCS) was studied by combining clinical data with HIV-1 pol-sequences from the SHCS Drug Resistance Database(DRDB). We inferred maximum-likelihood phylogenetic trees, determined Swiss HIV-transmission pairs as monophyletic patient pairs, and then considered the distribution of HCV on those pairs. RESULTS: Among the 9748 patients in the SHCS-DRDB with known HCV status, 2768(28%) were HCV-positive. Focusing on subtype B(7644 patients), we identified 1555 potential HIV-1 transmission pairs. There, we found that, even after controlling for transmission group, calendar year, age and sex, the odds for an HCV coinfection were increased by an odds ratio (OR) of 3.2 [95% confidence interval (CI) 2.2, 4.7) if a patient clustered with another HCV-positive case. This strong association persisted if transmission groups of intravenous drug users (IDUs), MSMs and heterosexuals (HETs) were considered separately(in all cases OR>2). Finally we found that HCV incidence was increased by a hazard ratio of 2.1 (1.1, 3.8) for individuals paired with an HCV-positive partner. CONCLUSIONS: Patients whose HIV virus is closely related to the HIV virus of HIV/HCV-coinfected patients have a higher risk for carrying or acquiring HCV themselves. This indicates the occurrence of domestic and sexual HCV transmission and allows the identification of patients with a high HCV-infection risk.

Self-reported adherence and associated factors regarding antihypertensive medication in Seychelles

Introduction. Adherence to medication for asymptomatic disease is often low. We assessed factors associated with good adherence to medication for high blood pressure (HBP) in a country of the African region. Methods. A population-based survey of adults aged 25-64 years (N=1240 and participation rate=73%). Information was available in knowledge attitude and practice, SES and other variables. One question assessed adherence. Good adherence to treatment was defined as answering "I forget very rarely" vs "I forget on 1-2 days in a week" or "I forget on 3 or more days in a week". Results. In a univariate model adherence was strongly associated with belief that hypertension is a long-term disease (OR 2.6, p<0.001) and was negatively associated with concomitant use of traditional medicine (OR 0.36, p<0.005). The following variables tended to be associated with good adherence for HBP treatment: age, SES, BMI, belief that HBP is not symptomatic, going to government's clinics, medium stress level, controlled hypertension, taking statins. The following variables were not associated with good adherence for HBP treatment: education, higher BP, knowing people who had a stroke/MI, suffering from another chronic condition. In a multivariate model, pseudo R2 was 0.14. Conclusion. We built a multidimensional model including a wide range of variable. This model only predicted 14% of adherence variability. Variables associated with good adherence were demographics or related to knowledge attitude and practice. The latter one is modifiable by different type of interventions.

Regional differences in self-reported screening, prevalence and management of cardiovascular risk factors in Switzerland.

BACKGROUND: In Switzerland, health policies are decided at the local level, but little is known regarding their impact on the screening and management of cardiovascular risk factors (CVRFs). We thus aimed at assessing geographical levels of CVRFs in Switzerland.¦METHODS: Swiss Health Survey for 2007 (N = 17,879). Seven administrative regions were defined: West (Leman), West-Central (Mittelland), Zurich, South (Ticino), North-West, East and Central Switzerland. Obesity, smoking, hypertension, dyslipidemia and diabetes prevalence, treatment and screening within the last 12 months were assessed by interview.¦RESULTS: After multivariate adjustment for age, gender, educational level, marital status and Swiss citizenship, no significant differences were found between regions regarding prevalence of obesity or current smoking. Similarly, no differences were found regarding hypertension screening and prevalence. Two thirds of subjects who had been told they had high blood pressure were treated, the lowest treatment rates being found in East Switzerland: odds-ratio and [95% confidence interval] 0.65 [0.50-0.85]. Screening for hypercholesterolemia was more frequently reported in French (Leman) and Italian (Ticino) speaking regions. Four out of ten participants who had been told they had high cholesterol levels were treated and the lowest treatment rates were found in German-speaking regions. Screening for diabetes was higher in Ticino (1.24 [1.09 - 1.42]). Six out of ten participants who had been told they had diabetes were treated, the lowest treatment rates were found for German-speaking regions.¦CONCLUSIONS: In Switzerland, cardiovascular risk factor screening and management differ between regions and these differences cannot be accounted for by differences in populations' characteristics. Management of most cardiovascular risk factors could be improved.

Prevalence of measured and self-reported multimorbidity in the Swiss-CoLaus population-based study

Introduction: The prevalence of multimorbidity (MM) in hospitalized patients is increasing and recognized as an important factor that may modify the strategies of treatment and increase the length of stay. Little is currently known about the prevalence of MM in the general population and if measured or self-reported diseases are different in the outpatient setting compared to hospitalized patients. The objective of the study was, therefore, to assess the prevalence of self-reported and measured MM in representative sample of the general population aged 35-75 years in Switzerland. Method: Data were obtained from the population based CoLaus Study: 3712 participants (1965 women, 50±9 years). MM was defined as presenting >=2 morbidities according to a list of 27 items (either measured or self-reported data, according to Barret et al.) or a Functional Comorbidity Index (FCI) (18 items, measured only). Results: The prevalence of MM according to these three definitions is summarized in the table 1. For all definitions prevalence of MM was higher in women, elderly participants, those with lower education levels, Swiss nationals, former smokers and obese participants. The prevalence of MM when measured data were used was significantly higher than according to self-reported (p<0.001). Multivariate analysis confirmed most of these associations, except that no difference was found for educational level and for overweight participants. Conclusion: The prevalence of MM is high in the general population, ranging from 13.8 and 50.3% even in the younger age group. The prevalence is higher in women, and increases with age and weight. The prevalence varies considerably according to the definition and is lower when using self-reported compared to measured data.

Network governance and the domestic adoption of soft rules

European regulatory networks (ERNs) are in charge of producing and disseminating non-bindings standards, guidelines and recommendations in a number of important domains, such as banking and finance, electricity and gas, telecommunications, and competition regulation. The goal of these soft rules is to promote 'best practices', achieve co-ordination among regulatory authorities and ensure the consistent application of harmonized pro-competition rules across Europe. This contribution examines the domestic adoption of the soft rules developed within the four main ERNs. Different factors are expected to influence the process of domestic adoption: the resources of regulators; the existence of a review panel; and the interdependence of the issues at stake. The empirical analysis supports hypotheses about the relevance of network-level factors: monitoring and public reporting procedures increase the final level of adoption, while soft rules concerning highly interdependent policy areas are adopted earlier.

Reproducibility of diabetes quality of care indicators as reported by patients and physicians.

INTRODUCTION: Self-report of diabetes care has moderate validity and is prone to under- and over-reporting. We assessed reproducibility of a range of processes and outcomes of diabetes care as reported by patients and physicians. METHODS: In a Swiss community-based survey, patients with diabetes and physicians independently reported past 12 months processes of care (HbA1c, lipids, microalbuminuria, blood pressure, weight, foot and eye examinations) and last measured values of HbA1c, height, weight and blood pressure. For dichotomous variables, we assessed reliability by Cohen's kappa and agreement by uniform kappa. For continuous measures, we used Lin's concordance correlation coefficient and limits of agreement, respectively. RESULTS: Mean age of the 210 patients was 65 years; 40% were women, and 51% had diabetes for >10 years. Agreement was good for recommended processes of care such as blood pressure (uniform kappa = 0.94), HbA1c (0.93), weight (0.88) and lipid (0.78), but lower for microalbuminuria, foot and eye examinations (all <0.50). Cohen's kappa values were all low (<0.25). Comparisons of reported continuous variables showed large limits of agreement for height (±6 cm) and weight (8-10 kg) despite high concordance correlation coefficients (0.93 and 0.97). Concordance correlation coefficients were smaller for HbA1c (0.72) and blood pressure (0.5-0.6), with large limits of agreement (±2% and ±25 mmHg). CONCLUSION: While agreement of routine processes of care was good, agreement was less satisfactory for microalbuminuria, foot and eye examinations. Reports of continuous outcomes yielded good reliability but too wide limits of agreement. Quality of care evaluation relying on self-report only should be made cautiously.

How Accurate Are Blood (or Breath) Tests for Identifying Self-Reported Heavy Drinking Among People with Alcohol Dependence?

AIMS: Managing patients with alcohol dependence includes assessment for heavy drinking, typically by asking patients. Some recommend biomarkers to detect heavy drinking but evidence of accuracy is limited. METHODS: Among people with dependence, we assessed the performance of disialo-carbohydrate-deficient transferrin (%dCDT, ≥1.7%), gamma-glutamyltransferase (GGT, ≥66 U/l), either %dCDT or GGT positive, and breath alcohol (> 0) for identifying 3 self-reported heavy drinking levels: any heavy drinking (≥4 drinks/day or >7 drinks/week for women, ≥5 drinks/day or >14 drinks/week for men), recurrent (≥5 drinks/day on ≥5 days) and persistent heavy drinking (≥5 drinks/day on ≥7 consecutive days). Subjects (n = 402) with dependence and current heavy drinking were referred to primary care and assessed 6 months later with biomarkers and validated self-reported calendar method assessment of past 30-day alcohol use. RESULTS: The self-reported prevalence of any, recurrent and persistent heavy drinking was 54, 34 and 17%. Sensitivity of %dCDT for detecting any, recurrent and persistent self-reported heavy drinking was 41, 53 and 66%. Specificity was 96, 90 and 84%, respectively. %dCDT had higher sensitivity than GGT and breath test for each alcohol use level but was not adequately sensitive to detect heavy drinking (missing 34-59% of the cases). Either %dCDT or GGT positive improved sensitivity but not to satisfactory levels, and specificity decreased. Neither a breath test nor GGT was sufficiently sensitive (both tests missed 70-80% of cases). CONCLUSIONS: Although biomarkers may provide some useful information, their sensitivity is low the incremental value over self-report in clinical settings is questionable.