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Objective: Postoperative atrial fibrillation (POAF) is the most common complication following cardiac surgery, with increased risk of stroke and high mortality. Our aim was to identify patients at risk and to design a model that could predict POAF. Methods: In this single center study, we evaluated 1191 patients requiring isolated surgical aortic valve replacement between January 2000 and June 2014. The patients were followed during the early postoperative period until discharge. Results: AF occurred in 342 patients (28.71%). Six variables associated with high arrhythmic risk [advanced age, body mass index, tricuspid regurgitation, prolonged ventilation, longer intensive care unit stay, and dilated left atrium (LA; volume ≥35 ml/m2)] were selected to create a multivariate prediction model. This model predicted POAF in 64.7% of cases, with a moderate discriminative power (AUC=0.65; p=0.001; 95% CI, 0.571-0.771). We also developed the CHAID (Chi-square automatic interaction detection) model showing multilevel interactions among risk factors for POAF. Age had the greatest discriminative power, with patients aged >68 years at a higher risk for POAF. In low-risk patients, the subgroup with dilated LA (volume ≥40 ml) was more prone to develop POAF. For the intermediate-risk group, history of AF was the next deciding variable, whereas for the high-risk group, it was tricuspid regurgitation (at least moderate). Conclusion: The multivariate logistic model has an acceptable predictive value. CHAID-derived model is a new tool that could be easily applied to identify patients requiring prophylactic regimens. [ABSTRACT FROM AUTHOR]

Recent research has generated awareness of the existence of various pathophysiological pathways that contribute to the development of chronic diseases; thus, pro-oxidative factors have been accepted as significant contributors to the emergence of a wide range of diseases, from inflammatory to malignant. Redox homeostasis is especially crucial in liver pathology, as disturbances at this level have been linked to a variety of chronic diseases. Hepatitis is an umbrella term used to describe liver inflammation, which is the foundation of this disease regardless of its cause. Chronic hepatitis produces both oxidative stress generated by hepatocyte inflammation and viral inoculation. The majority of hepatitis in children is caused by a virus, and current studies reveal that 60–80% of cases become chronic, with many young patients still at risk of advancing liver damage. This review intends to emphasize the relevance of understanding these pathological redox pathways, as well as the need to update therapeutic strategies in chronic liver pathology, considering the beneficial effects of antioxidants. [ABSTRACT FROM AUTHOR]

Coronavirus disease 2019 (COVID-19) is a complex infectious disease caused by the SARS-CoV-2 virus, and it currently represents a worldwide public health emergency. The pediatric population is less prone to develop severe COVID-19 infection, but children presenting underlying medical conditions, such as diabetes mellitus, are thought to be at increased risk of developing more severe forms of COVID-19. Diabetic children face new challenges when infected with SARS-CoV-2. On one hand, the glycemic values become substantially more difficult to manage as COVID-19 is a predisposing factor for hyperglycemia. On the other hand, alongside other risk factors, high glycemic values are incriminated in modulating immune and inflammatory responses, leading to potentially severe COVID-19 cases in the pediatric population. Also, there are hypotheses of SARS-CoV-2 being diabetogenic itself, but this information is still to be confirmed. Furthermore, it is reported that there was a noticeable increase in the number of cases of new-onset type 2 diabetes among the pediatric population, and the complications in these patients with COVID-19 include the risk of developing autoimmune diseases under the influence of stress. Additionally, children with diabetes mellitus are confronted with lifestyle changes dictated by the pandemic, which can potentially lead to the onset or exacerbation of a potential underlying anxiety disorder or depression. Since the literature contains a series of unknowns related to the impact of COVID-19 in both types of diabetes in children, the purpose of our work is to bring together the data obtained so far and to identify potential knowledge gaps and areas for future investigation regarding COVID-19 and the onset of diabetes type 1 or type 2 among the pediatric population. [ABSTRACT FROM AUTHOR]

Accumulating evidence indicates that higher levels of salt intake are associated with higher blood pressure levels. The aim of our analysis was to test the hypothesis that the effect of urinary sodium excretion (UNaV) on systolic blood pressure (SBP) is mediated through estimated glomerular filtration rate (eGFR) and arterial stiffness and also to test the direction of the relationship between eGFR and arterial stiffness, in both hypertensive and normotensive patients. We assessed the potential for connection between UNaV and SBP and mediators (eGFR and pulse wave velocity [PWV]) of this relationship using structural equation models of data from 1599 adults ≥18 years of age and without chronic kidney disease who participated in the Third Epidemiologic Study concerning the Prevalence of Arterial Hypertension and Cardiovascular Risk in Romania (SEPHAR III). In hypertensive patients, the indirect effect, mediated through PWV, of UNaV on SBP was 23.9% and 27.7% of the total effect of UNaV on SBP, while in normotensive patients the contribution of PWV to the total effect of UNaV on SBP was slightly lower (15.9% and 18.3% of the total effect of UNaV on SBP). Taken together, our findings support the conclusion that UNaV influences SBP, both directly and indirectly, through the effect on PWV. [ABSTRACT FROM AUTHOR]