baumannii. Thus, the biodegradation of these reactive azo dyes was found to be a suitable alternative for the effective treatment of textile dyes.This study tests for measurement invariance of impulsivity assessed by the Barratt Impulsiveness Scale (BIS) across Black and White adults with cocaine use disorder and examines the association of BIS impulsivity with treatment retention and outcomes. Data from four clinical trials were combined providing a total sample of 302 participants with cocaine abuse/dependence (42% Black, 58% White, 44% female, agemean = 40.22, SD = 9.26). We used multi-group confirmatory factor analyses to test for measurement invariance across race and examined bivariate correlations between BIS impulsivity and treatment retention and outcomes by race. Factor analyses indicated a 22-item, two-factor (motor impulsiveness and nonplanning impulsiveness) brief BIS fit the data best (RMSEA = 0.073 [90% CI 0.065-0.080]; CFI = 0.904; TLI = 0.893; SRMR = 0.073) and was configural, metric, and scalar invariant across race. Higher motor impulsiveness was associated with higher percentage cocaine negative urines in the overall sample (r = -0.15, p = .01), but this association only remained in the Black subsample when examined across race (r = 0.28, p less then .001). Higher motor impulsiveness was also associated with increased days abstinent from cocaine in the Black subsample only (r = 0.28, p less then .001). Nonplanning impulsiveness was associated with lower percentage of treatment days abstinent from cocaine in the White subsample only (r = -0.16, p = .045). These findings 1) provide evidence for a 21-item, two-factor brief BIS that is invariant across Black and White adults with cocaine use disorder, and 2) suggest that BIS impulsivity may be associated with poorer cocaine treatment outcomes among White but not Black adults.

Adolescents are using e-cigarettes at high rates and there is limited information on how to help them quit. We aimed to inform e-cigarette cessation interventions by understanding why adolescents use and dislike e-cigarettes and their quit experiences.

Six focus groups with current users (i.e., past-month use) and 2 focus groups with past users (i.e., no past-month use) were conducted in Fall 2019 in Connecticut (N=62). We used a focus group guide and an iterative approach to identify themes.

Adolescents used e-cigarettes because of social reasons and to relieve stress and reported disliking e-cigarettes due to the cost, negative health effects, and addiction. They reported both intentional and unintentional experiences with quitting e-cigarettes. Reasons for unintentional quitting included lack of access to e-cigarettes. Reasons for intentional quitting included short-term “tolerance breaks” and health concerns. Of those who tried to quit, common quitting methods were “cold turkey,” giving away their device, and limiting interactions with peer users. The most common withdrawal symptom was negative mood. Notable barriers to quitting included exposure to social influences at school, easy access to e-cigarettes, and lack of motivation to quit.

Our qualitative evidence suggests that e-cigarette cessation interventions need to motivate youth to quit, and teach them to manage social influences, stress and other negative mood, and withdrawal symptoms. Interventions that address social norms related to use of e-cigarettes in school and reduce cues related to e-cigarette use may also be beneficial.

Our qualitative evidence suggests that e-cigarette cessation interventions need to motivate youth to quit, and teach them to manage social influences, stress and other negative mood, and withdrawal symptoms. Interventions that address social norms related to use of e-cigarettes in school and reduce cues related to e-cigarette use may also be beneficial.Policy-makers face pressures to improve lives and safeguard public finances sustainably. In this analysis, we estimate the economic importance of the health-care sector in 19 European national economies. Olaparib We use input-output tables for the year 2010 and sectoral data to estimate a set of multipliers simple, total, truncated, type I and type II multipliers for output, income, value-added, employment and import multiplier. The analysis reveals similarities in the economic importance of the health-care sector for the national economies of the observed countries. Results suggest prevailing positive effects on national economies (value-added, employment and household income) when spending on health-care sector products and services increases, especially in comparison to the effects of increases in spending in other sectors. The importance of the health-care sector is connected to countries’ levels of development; the benefits are especially promising in countries with lower levels of gross domestic product (GDP) per capita, where changes in the health-care sector have a larger impact on employment in the national economy than similar changes in more developed countries. The health-care sector therefore can play an important role as an instrument of economic policy.

In December 2019, a coronavirus 2019 (COVID-19) outbreak, caused by SARS-CoV-2, took place in Wuhan, China, and was declared a global pandemic in March 2020 by the World Health Organization. It is a prominently respiratory infection, with potential cardiological, hematological, gastrointestinal and renal complications. Acute kidney injury (AKI) is found in 0.5-25% of hospitalized COVID-19 patients and constitutes a negative prognostic factor. Renal damage mechanisms are not completely clear. We report the clinical evolution of hospitalized COVID-19 patients who presented with AKI requiring attention from the Nephrology team in a tertiary hospital in Madrid, Spain.

This is an observational prospective study including all COVID-19 cases that required hospitalization and Nephrology management from March 6th to May 12th 2020. We collected clinical and analytical data of baseline characteristics, COVID-19 and AKI evolutions.

We analyzed 41 patients with a mean age of 66.8 years (SD 2.1), 90.2% males, and with a history of chronic kidney disease in 36.