• Acosta Lundqvist posted an update 6 months, 1 week ago

    Data were analyzed by parametric test (ANOVA) with Tukey post-hoc test (P<0.05).

    Ozonized saline solution showed antibiofilm activity at a concentration of 80μg/NmL for 30 seconds and 1 minute, reducing, mainly, Porphyromonas gingivalis viability, with 2.78 and 1.7 log

    CFU mL

    of reduction in both single and multi-specie biofilms, respectively, when compared to the control (saline), whereas CHX reduced 1.4 and 1.2 log

    CFU mL

    .

    Ozonized saline solution has antibiofilm activity, with better effect when applied for 1 minute at 80μg/NmL, being a promising candidate therapy for the treatment of peri-implant diseases.

    Ozonized saline solution has antibiofilm activity, with better effect when applied for 1 minute at 80 μg/NmL, being a promising candidate therapy for the treatment of peri-implant diseases.

    For reasons unclear, some stored red blood cells (RBCs) have low hemolysis, while others have high hemolysis, which impacts quality consistency. To identify variables that influence hemolysis, routine quality control (QC) data for 42-days-stored RBCs with corresponding donor information were analyzed.

    RBC QC and donor data were obtained from a national blood supplier. Regression models and analyses were performed on total cohort stratified by donor sex and by high hemolysis (≥90th percentile) vs control (<90th percentile) samples, including matching.

    Data included 1734 leukoreduced RBCs (822 female, 912 male), processed by buffy coat-poor or whole blood filtration methods. Male RBCs had larger volume, hemoglobin content, and higher hemolysis than female RBCs (median hemolysis, 0.24% vs 0.21%; all P < .0001). Multivariable regression identified increased body mass index (BMI) and RBC variables were associated with higher hemolysis (P < .0001), along with older female age and buffy coat-poor processing method (P < .002). Logistic regression models comparing the high and control hemolysis subsets, matched for RBC component variables and processing method, identified overweight-obese BMI (>27 kg/m

    ) in males remained the single donor-related variable associated with higher hemolysis (P < .0001); odds ratio, 3 (95% confidence interval , 1.3-6.7), increasing to 4 (95% CI, 1.8-8.6) for obese males (BMI > 30 kg/m

    ). Female donor obesity and older age trended toward higher hemolysis.

    Donor BMI, sex, and female age influence the level of hemolysis of 42-days-stored RBCs. read more Other factors, not identified in this study, also influence the level of hemolysis.

    Donor BMI, sex, and female age influence the level of hemolysis of 42-days-stored RBCs. Other factors, not identified in this study, also influence the level of hemolysis.The Q-matrix identifies the subset of attributes measured by each item in the cognitive diagnosis modelling framework. Usually constructed by domain experts, the Q-matrix might contain some misspecifications, disrupting classification accuracy. Empirical Q-matrix validation methods such as the general discrimination index (GDI) and Wald have shown promising results in addressing this problem. However, a cut-off point is used in both methods, which might be suboptimal. To address this limitation, the Hull method is proposed and evaluated in the present study. This method aims to find the optimal balance between fit and parsimony, and it is flexible enough to be used either with a measure of item discrimination (the proportion of variance accounted for, PVAF) or a coefficient of determination (pseudo-R2 ). Results from a simulation study showed that the Hull method consistently showed the best performance and shortest computation time, especially when used with the PVAF. The Wald method also performed very well overall, while the GDI method obtained poor results when the number of attributes was high. The absence of a cut-off point provides greater flexibility to the Hull method, and it places it as a comprehensive solution to the Q-matrix specification problem in applied settings. This proposal is illustrated using real data.

    Nurses are at the forefront of public health emergencies facing psychological pressures ensuing from the loss of patients and potential risk of infection while treating the infected. This study examines whether inclusive leadership has a causal relationship with psychological distress and to assess the mediation effect of psychological safety on this relationship in the long run. The hypotheses are developed and interpreted with the help of theoretical underpinnings from job demands resources theory and the theory of shattered assumptions.

    Three-wave longitudinal study.

    Questionnaire was used to carry out three waves of data collection from 405 nurses employed at five hospitals in Wuhan during the COVID-19 outbreak between the months of January-April 2020. Partial least square structural equation modelling (PLS-SEM) was used to analyze data while controlling for age, gender, education, experience, and working hours.

    Results supported the hypothesized relationships where inclusive leadership indicated al safety; it helps reduce levels of psychological distress.

    This is the first longitudinal study to examine the relationship between inclusive leadership and psychological distress in health care and also examines the mediating mechanism of psychology safety. There is scarcity of empirical research on factors that determine and affect behavioural mechanism of healthcare workers during traumatic events and crisis. Clinical leaders and healthcare policy makers must invest in and promote inclusive and supportive environment characterized with open and accessible leaders at workplace to improve psychological safety; it helps reduce levels of psychological distress.To investigate the effects of renin-angiotensin-aldosterone system (RAAS) inhibitors on the prognosis in patients with coronavirus disease 2019 (COVID-19). A meta-analysis was performed. We systematically searched PubMed, the Cochrane Library, the Web of Science, EMBASE, medRxiv, and bioRxiv database through October 30, 2020. The primary and secondary outcomes were mortality and severe COVID-19, respectively. We included 25 studies with 22,734 COVID-19 patients, and we compared the outcomes between patients who did and did not receive angiotensin-converting enzyme inhibitors/angiotensin receptor blockers (ACEIs/ARBs). The use of ACEIs/ARBs was not associated with higher risks of severe disease (odds ratio  = 0.89; 95% confidence interval 0.63, 1.15; I2  = 38.55%), mechanical ventilation (OR = 0.89; 95% CI 0.61, 1.16; I2  = 3.19%), dialysis (OR = 1.24; 95% CI 0.09, 2.39; I2  = 0.00%), or the length of hospital stay (SMD = 0.05; 95% CI -0.16, 0.26; I2  = 84.43%) in COVID-19 patients. The effect estimates showed an overall protective effect of ACEIs/ARBs against mortality (OR = 0.

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