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Background Steroid use after cardiac arrest has been reported to improve survival and neurological outcome in cardiac arrest survivors. The study aimed to evaluate the effect of post-arrest hydrocortisone use on myocardial damage and cardiac mitochondrial injury in a rat model of ventricular fibrillation cardiac arrest. Methods and Results Ventricular fibrillation cardiac arrest was induced and left untreated for 5 minutes in adult male Wistar rats. Cardiopulmonary resuscitation and electric shocks were then applied to achieve return of spontaneous circulation (ROSC). Successfully resuscitated animals were randomized into 3 groups control, low-dose hydrocortisone (2 mg/kg), and high-dose hydrocortisone (8 mg/kg). The low-dose hydrocortisone and high-dose hydrocortisone (treatment) groups received intravenous hydrocortisone immediately after ROSC and the control group received saline as placebo. Each group consisted of 15 animals. Within 4 hours of ROSC, both treatment groups showed a higher cardiac output than the control group. At the fourth hour following ROSC, histological examination and transmission electron microscopy demonstrated less myocardial damage and mitochondrial injury in the animals treated with hydrocortisone. In the treatment groups, hydrocortisone mitigated the acceleration of Ca2+-induced mitochondrial swelling and suppression of complex activity observed in the control group. At the 72nd hour after ROSC, a significantly higher proportion of animals treated with hydrocortisone survived and had good neurological recovery compared with those given a placebo. Conclusions Hydrocortisone use after cardiac arrest may mitigate myocardial injury and cardiac mitochondrial damage and thus improve survival, neurological and histological outcomes in a rat model of ventricular fibrillation cardiac arrest.Aims The current study aims to present epidemiologic changes and clinical aspects of Merkel cell carcinoma (MCC) in Brazil. Methods Data were collected from the Brazilian Population-Based Cancer Registries (2000-2015) and Hospital-Based Cancer Registries (2000-2017). Results The average age-standardized incidence rates significantly increased in men between the years 2000 (0.31/1,000,000) and 2015 (1.21/1,000,000), with an annual percentage change of 9.4 (95% CI 4.7-14.4; p 60 years (82.2%), White (67.6%) and diagnosed at stages III or IV (50.5%). Conclusions A key aspect of public health promotion is to understand the incidence and morbidity of MCC.Background Transcatheter aortic valve replacement (TAVR) has become the preferred treatment for symptomatic patients with aortic stenosis and elevated procedural risk. Many deaths following TAVR are because of noncardiac causes and comorbid disease burden may be a major determinant of postprocedure outcomes. The prevalence of comorbid conditions and associations with outcomes after TAVR has not been studied. Methods and Results This was a retrospective single-center study of patients treated with TAVR from January 2015 to October 2018. The association between 21 chronic conditions and short- and medium-term outcomes was assessed. A total of 341 patients underwent TAVR and had 1-year follow-up. The mean age was 81.4 (SD 8.0) years with a mean Society of Thoracic Surgeons predicted risk of mortality score of 6.7% (SD 4.8). Two hundred twenty (65%) patients had ≥4 chronic conditions present at the time of TAVR. There was modest correlation between Society of Thoracic Surgeons predicted risk of mortality and comorbid disease burden (r=0.32, P less then 0.001). After adjusting for Society of Thoracic Surgeons predicted risk of mortality, age, and vascular access, each additional comorbid condition was associated with increased rates of 30-day rehospitalizations (odds ratio, 1.21; 95% CI, 1.02-1.44), a composite of 30-day rehospitalization and 30-day mortality (odds ratio, 1.20; 95% CI, 1.02-1.42), and 1-year mortality (odds ratio, 1.29; 95% CI, 1.05-1.59). Conclusions Comorbid disease burden is associated with worse clinical outcomes in high-risk patients treated with TAVR. The risks associated with comorbid disease burden are not adequately captured by standard risk assessment. A systematic assessment of comorbid conditions may improve risk stratification efforts.Spontaneous wrinkling of films with a thickness gradient offers a new opportunity for constructing various 3D hierarchical surface morphologies. Unfortunately, accurately and facilely controlling the gradient film thickness to yield multiscale and 3D hierarchical micro-/nanostructures is still difficult. Here, a rapid, facile, and highly controllable fabricating strategy for realizing 3D multiscale hierarchical micro-/nanofolds on a shape memory polymer (SMP) surface is reported. First, the nanoparticle film with gradient thickness is rapidly (100 ms to 4 s) and facilely obtained by laser intermittent ablation on the SMP, termed as laser ablation-induced gradient thickness film. Following one-time constrained heating, the 3D micropillars grow out of the substrate based on the "self-growing effect," and the nanoparticle gradient film on its top shrinks into multiscale micro-/nanofolds simultaneously. Significantly, the evolution process and the underlying mechanism of the 3D micro-/nanofolds are systematically investigated. Fundamental basis enables us to accurately regulate the gradient thickness of nanoparticle films and feature size of folds by varying laser scanning times and scanning path. Finally, desirable patterns on micro-/nanofolds can be readily realized by programmable laser cleaning technology, and the tunable adhesion of the water droplet on the multiscale structured surface is demonstrated, which is promising for microdroplet manipulation.Because major depressive disorder (MDD) and bipolar disorder (BD) manifest with similar symptoms, misdiagnosis is a persistent issue, necessitating their differentiation through objective methods. This study was aimed to differentiate between these disorders using a targeted proteomic approach. Multiple reaction monitoring-mass spectrometry (MRM-MS) analysis was performed to quantify protein targets regarding the two disorders in plasma samples of 270 individuals (90 MDD, 90 BD, and 90 healthy controls (HCs)). In the training set (72 MDD and 72 BD), a generalizable model comprising nine proteins was developed. check details The model was evaluated in the test set (18 MDD and 18 BD). The model demonstrated a good performance (area under the curve (AUC) >0.8) in discriminating MDD from BD in the training (AUC = 0.84) and test sets (AUC = 0.81) and in distinguishing MDD from BD without current hypomanic/manic/mixed symptoms (90 MDD and 75 BD) (AUC = 0.83). Subsequently, the model demonstrated excellent performance for drug-free MDD versus BD (11 MDD and 10 BD) (AUC = 0.

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