Background: Health care professionals exposed to coronavirus disease 2019 (COVID-19) are facing high levels of stress. Aim: The aim was to evaluate the quality of sleep (QoS) and health-related quality of life (HRQoL), among health care professionals treating patients with COVID-19, as well as quantifying the magnitude of symptoms of depression and levels of anxiety. Methods: We included 201 health care professionals in a cross-sectional, web-based study by applying 7-item Generalized Anxiety Disorder (GAD-7) Scale, Zung Self-rating Depression Scale, 36-item Health Survey of the Medical Outcomes Study Short Form (SF36), Pittsburgh Sleep Quality Index (PSQI) and additional survey constructed for the purpose of the study. Results: Health care workers who treated COVID-19 patients were more afraid of becoming infected or of transmitting the infection to a family member with a significantly low self-assessment of their mental status. Poor QoS and HRQoL correlated with high health anxiety and severe depressive symptoms and several demographic characteristics. Multiple linear regression analysis showed that higher scores on GAD-7 (beta = .71, p < .01) and lower scores on mental health (MH) subscale on SF36 questionnaire (beta = –.69; p < .01) were independent predictors of the higher PSQI score (adjusted R2 = .61, p < .01 for overall model). Higher scores on GAD-7 (beta = .68, p < .01) and worse self-perceived mental status (beta = .25; p < .05) were independent predictors of the lower SF36 scores (adjusted R2 = .73, p < .01 for overall model). Conclusion: The major MH burden of health care professionals treating infected patients during the COVID-19 pandemic indicates that they need psychological support.

Highlights RRMS patients had different degrees of fear of COVID-19 disease. Levels of anxiety are higher among RRMS patients during the COVID-19 outbreak then in regular circumstances. Depression and higher disability are independent risk factors for lower QoL of RRMS patients. Healthcare organizations must provide professional therapeutic advice and psychosocial support for RRMS patients during pandemic.

AIMS: \ud \ud The aim of this study was to investigate the predictive ability of screening tools regarding the occurrence of major postoperative complications in onco-geriatric surgical patients and to propose a scoring system.\ud \ud METHODS: \ud \ud 328 patients ≥ 70 years undergoing surgery for solid tumors were prospectively recruited. Preoperatively, twelve screening tools were administered. Primary endpoint was the incidence of major complications within 30 days. Odds ratios (OR) and 95% confidence intervals (95% CI) were estimated using logistic regression. A scoring system was derived from multivariate logistic regression analysis. The area under the receiver operating characteristic curve (AUC) was applied to evaluate model performance.\ud \ud RESULTS: \ud \ud At a median age of 76 years, 61 patients (18.6%) experienced major complications. In multivariate analysis, Timed Up and Go (TUG), ASA-classification and Nutritional Risk Screening (NRS) were predictors of major complications (TUG>20 OR 3.1, 95% CI 1.1-8.6; ASA ≥ 3 OR 2.8, 95% CI 1.2-6.3; NRS impaired OR 3.3, 95% CI 1.6-6.8). The scoring system, including TUG, ASA, NRS, gender and type of surgery, showed good accuracy (AUC: 0.81, 95% CI 0.75-0.86). The negative predictive value with a cut-off point >8 was 93.8% and the positive predictive value was 40.3%.\ud \ud CONCLUSIONS: \ud \ud A substantial number of patients experience major postoperative complications. TUG, ASA and NRS are screening tools predictive of the occurrence of major postoperative complications and, together with gender and type of surgery, compose a good scoring system

Primary colorectal lymphoma is a rare malignant tumor of the large bowel. Therapy usually involves resection of the affected colon or rectum and regional lymphovascular structures, followed by adjuvant therapy. Survival period is short and, therefore, timely diagnosis is crucial in early disease stages when the probability of cure is high.

The aims of this study were to review the clinical presentation of non-Hodgkin's lymphomas of the large bowel, to analyze the prognostic factors using univariate and multivariate methods, as well as the overall survival. We identified 24 cases at our clinic between 1991 and 2005, based on pathohistological analysis and standard diagnostic criteria established by Dawson et al. They accounted for 1.2% of all cases of the large bowel malignancies (24/2021) during this period. The following clinical information such as age, gender, symptoms, tumor localization, operation performed, histology grade, stage of disease, and adjuvant chemotherapy was obtained. Survival function was expressed by Kaplan-Meier curve and Log-rank test was performed for the difference in survival between two patient groups. Multivariate analysis was carried out using the Cox proportional hazard model. Overall mean survival time was 41.91 months. According to the univariete analysis, the factors influencing overall survival rate was operation type (elective and emergent). Tumor stage and operation type were independent prognostic factors for survival, as determined by multivariate analysis. Our results showed that tumor stage and operation type should be considered as the most important prognostic factors in patients with primary non-Hodgkin's lymphomas of the large bowel.