The study was aimed at investigating students’ attributions to academic success/failure and the strategies for dealing with the examination situation as predictors of academic success. Students’ attributions to academic success/failure by internal/external and stable/unstable causes were examined by the Scale of Attributions to Academic Success and Failure. The strategies for dealing with the examination situation (focusing on the problem, focusing on emotions, imagination/distraction, seeking help in the examination situation) were examined by the Scale of Dealing with Examination Situation. The results obtained on the sample of second grade grammar school students (N=204) show that students’ attributions to academic success/failure and the strategies of dealing with the examination situation explain a significant percent of variance in academic success (R²=.210, p=.000). The most important particular predictor is the strategy of dealing with the examination situation by focusing on the problem (β=.244, p=.005). Students’ attributions to failure are more important predictors of academic success than attributions of success. Differences between boys and girls in the patterns of particular predictors of academic success were found. The results point out that it is important to support constructive students’ styles of attributions to academic success/failure and the strategies for dealing with examination situations.

Background The present study aimed to develop a simple dosing score when starting the cardiac glycoside digitoxin in heart failure with reduced ejection fraction (HFrEF) employing first data from the randomized, double-blinded DIGIT-HF trial. Methods and results In DIGIT-HF, digitoxin was started with a dose of 0.07 mg once daily (o.d.) in all patients. For score derivation, 317 patients were analyzed who had been randomized to digitoxin. In these patients, after scheduled determination of serum levels at study week 6, the digitoxin dose had remained unchanged or had been reduced to 0.05 mg o.d. (97% of patients) to achieve serum concentrations within a predefined range (10.5–23.6 nmol/l). In logistic regression analyses, sex, age, body mass index (BMI), and estimated glomerular filtration rate (eGFR) were associated with need for dose reduction and, therefore, selected for further developing the dosing score. Optimal cut-points were derived from ROC curve analyses. Finally, female sex, age ≥ 75 years, eGFR < 50 ml/min/1.73 m2, and BMI < 27 kg/m2 each were assigned one point for the digitoxin dosing score. A score of ≥ 1 indicated the need for dose reduction with sensitivity/specificity of 81.6%/49.7%, respectively. Accuracy was confirmed in a validation data set including 64 patients randomized to digitoxin yielding sensitivity/specificity of 87.5%/37.5%, respectively. Conclusion In patients with HFrEF, treatment with digitoxin should be started at 0.05 mg o.d. in subjects with either female sex, eGFR < 50 ml/min/1.73m2, BMI < 27 kg/m2, or age ≥ 75 years. In any other patient, digitoxin may be safely started at 0.07 mg o.d. Graphical Abstract

Background Although Brain Natriuretic Peptide (BNP) provides strong prognostic information of an unfavorable outcome in patients with acute heart failure (AHF), there is little information of its relevance as a biomarker for outcomes in COVID-19 and its complications Purpose To evaluate the association of increased BNP levels with complications and in-hospital mortality in a cohort of hospitalized COVID-19 patients. Methods The study included COVID-19 patients with data on BNP levels included in the ISACS COVID-19 registry. The population was categorized according to the presence of peak BNP levels ≥100 pg/mL during hospitalization. Primary outcomes included in-hospital mortality, AHF or acute respiratory failure (ARF, defined as PiO2/FiO2&lt;300 mmHg or need for mechanical ventilation). Calculations were conducted using age and sex-adjusted multivariable logistic regression analyses. Results were also stratified according to presence or absence of cardiovascular disease (CVD) history. Differences between subgroups were verified for statistical significance using test for interaction. Results Of the 1152 patients included in the study, 615 (53.4%) had elevated BNP levels. These subjects were older (69.9±13.8 vs 59.1±16.8, p-value&lt;0.001), had higher rates of cardiovascular risk factors (82.9% vs 57.7%, p-value&lt;0.001) and presented more frequently with a prior history of CVD (either ischemic heart disease, cerebrovascular disease, venous thromboembolism, atrial fibrillation or a history of revascularization) (50.1% vs 27.5%, p-value&lt;0.001). No sex differences were observed. When considering outcomes, BNP levels ≥100 pg/mL were associated with increased rates of in-hospital mortality (32.9% vs 4.9%, p-value&lt;0.001), even after adjustment for demographic characteristics (OR: 7.35; 95% CI: 4.75–11.40; p-value&lt;0.001). High BNP levels were also strongly associated with an increased risk of AHF (OR 19.9; 95% CI 8.6–45.9; p-value&lt;0.001), a correlation that persisted both in patients with and without a prior CVD history (p for interaction=0.29). Of note, patients with elevated BNP also had a higher likelihood of developing ARF (OR 2.7; 95% CI 2.1–3.6; p-value&lt;0.001), even in absence of AHF (OR 3.00; 95% CI 2.20–4.1; p-value&lt;0.001). Conclusions In COVID-19, blood BNP level not only appears to be predictor of in-hospital mortality and AHF but was also independently associated with an increased risk of ARF. This finding supports the routine use of BNP in all patients admitted to hospital for COVID-19, regardless of a prior history of CVD. Funding Acknowledgement Type of funding sources: None.

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The study on the biosorption of copper ions using raw eggshells as an adsorbent is presented in this paper. The influence of different process parameters, such as: initial pH value of the solution, initial Cu2+ ions concentration, initial mass of the adsorbent, and stirring rate, on the biosorption capacity was evaluated. The SEM-EDS analysis was performed before and after the biosorption process. SEM micrographs indicate a change in the morphology of the sample after the biosorption process. The obtained EDS spectra indicated that K, Ca, and Mg were possibly exchanged with Cu2+ ions during the biosorption process. The equilibrium analysis showed that the Langmuir isotherm model best describes the experimental data. Four kinetic models were used to analyze the experimental data, and the results revealed that the pseudo-first order kinetic model is the best fit for the analyzed data. Calculated thermodynamic data indicated that the biosorption process is spontaneous, and that copper ions are possibly bound to the surface of the eggshells by chemisorption. The biosorption process was optimized using Response Surface Methodology (RSM) based on the Box-Behnken Design (BBD), with the selected factors: adsorbent mass, initial metal ion concentration, and contact time.