OBJECTIVE Glioma is the most common form of brain tumor and has high lethality. The authors of this study aimed to elucidate the efficiency of preoperative inflammatory markers, including neutrophil/lymphocyte ratio (NLR), derived NLR (dNLR), platelet/lymphocyte ratio (PLR), lymphocyte/monocyte ratio (LMR), and prognostic nutritional index (PNI), and their paired combinations as tools for the preoperative diagnosis of glioma, with particular interest in its most aggressive form, glioblastoma (GBM). METHODS The medical records of patients newly diagnosed with glioma, acoustic neuroma, meningioma, or nonlesional epilepsy at 3 hospitals between January 2011 and February 2016 were collected and retrospectively analyzed. The values of NLR, dNLR, PLR, LMR, and PNI were compared among patients suffering from glioma, acoustic neuroma, meningioma, and nonlesional epilepsy and healthy controls by using nonparametric tests. Correlations between NLR, dNLR, PLR, LMR, PNI, and tumor grade were analyzed. Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic significance of NLR, dNLR, PLR, LMR, PNI, and their paired combinations for glioma, particularly GBM. RESULTS A total of 750 patients with glioma (Grade I, 81 patients; Grade II, 208 patients; Grade III, 169 patients; Grade IV [GBM], 292 patients), 44 with acoustic neuroma, 271 with meningioma, 102 with nonlesional epilepsy, and 682 healthy controls were included in this study. Compared with healthy controls and patients with acoustic neuroma, meningioma, or nonlesional epilepsy, the patients with glioma had higher values of preoperative NLR and dNLR as well as lower values of LMR and PNI, whereas PLR was higher in glioma patients than in healthy controls and patients with nonlesional epilepsy. Subgroup analysis revealed a positive correlation between NLR, dNLR, PLR, and tumor grade but a negative correlation between LMR, PNI, and tumor grade in glioma. For glioma diagnosis, the area under the curve (AUC) obtained from the ROC curve was 0.722 (0.697-0.747) for NLR, 0.696 (0.670-0.722) for dNLR, 0.576 (0.549-0.604) for PLR, 0.760 (0.738-0.783) for LMR, and 0.672 (0.646-0.698) for PNI. The best diagnostic performance was obtained with the combination of NLR+LMR and dNLR+LMR, with AUCs of 0.777 and 0.778, respectively. Additionally, NLR (AUC 0.860, 95% CI 0.832-0.887), dNLR (0.840, 0.810-0.869), PLR (0.678, 0.641-0.715), LMR (0.837, 0.811-0.863), and PNI (0.740, 0.706-0.773) had significant predictive value for GBM compared with healthy controls and other disease groups. As compared with the Grade I-III glioma patients, the GBM patients had an AUC of 0.811 (95% CI 0.778-0.844) for NLR, 0.797 (0.763-0.832) for dNLR, 0.662 (0.622-0.702) for PLR, 0.743 (0.707-0.779) for LMR, and 0.661(0.622-0.701) for PNI. For the paired combinations, NLR+LMR demonstrated the highest accuracy. CONCLUSIONS The NLR+LMR combination was revealed as a noninvasive biomarker with relatively high sensitivity and specificity for glioma diagnosis, the differential d...

Results indicate that the WHOQOL-BREF, excepting the sexual activity item, is useful for evaluating HRQOL of conscious elderly in institutions. The validity of TTO utility for studying the institutionalized elderly needs further evaluation.

BackgroundIt has been speculated that patients with sarcopenia are aggravated by the current novel coronavirus disease 2019 (COVID-19) epidemic. However, there is substantial uncertainty regarding the prevalence of sarcopenia in patients with COVID-19.ObjectivesThe purpose of the study was to systematically evaluate the prevalence of sarcopenia in patients with COVID-19, including stratification by gender, study location, study population, study design, and diagnostic criteria.DesignThis is the systematic literature review and meta-analysis.MethodsAn electronic search was performed in MEDLINE/PubMed, Embase, Cochrane Library, and Web of Science and Scopus to identify observational studies reporting a prevalence estimate for sarcopenia in patients with COVID-19. Studies were reviewed in accordance with the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines and a meta-analysis was performed. Risk of bias (RoB) was assessed using the Newcastle–Ottawa Scale (NOS) for cohort studies and Joanna Briggs Institute (JBI) manual for cross-sectional studies, and Stata 14.0 was used to perform meta-analyses.ResultsA total of 4,639 studies were initially identified. After removing the duplicates and applying the selection criteria, we reviewed 151 full-text studies. A total of 21 studies, including 5,407 patients, were eligible for inclusion in this review finally. The prevalence of sarcopenia in patients with COVID-19 in individual studies varied from 0.8 to 90.2%. The pooled prevalence of sarcopenia in COVID-19 was 48.0% (95% confidence interval, CI: 30.8 to 65.1%, I2 = 99.68%, p = 0.000). We did not find any significant differences in the prevalence estimates between gender specificity (OR = 1.34; 95% CI = 0.80–2.26; p = 0.001). By sex, the prevalence was 42.5% (95% CI: 31.7 to 53.4%) in men and 35.7% (95% CI: 24.2 to 47.2%) in women. The prevalence estimates significantly varied based on population settings and different diagnostic criteria of sarcopenia. ICU patients (69.7, 95% CI: 51.7 to 85.2%) were more likely to suffer from sarcopenia compared to other population settings.ConclusionTo our knowledge, this is the first meta-analysis reporting on the prevalence of sarcopenia in patients with COVID-19. Sarcopenia is frequently observed in patients with COVID-19, with varying prevalence across population settings. This study would be useful for clinicians to prompt the increasing awareness of identifying sarcopenia and developing interventions at patients with COVID-19 with high risk of sarcopenia. Further prospective longitudinal studies to define the association of sarcopenia and its prognostic outcomes in COVID-19 survivors are urgently needed to propose the most appropriate treatment strategies during their admission and discharge.Systematic Review Registration[www.crd.york.ac.uk/prospero/], identifier [CRD42022300431].

The sustainability of nursing leadership is a very important problem. Every country continually strives to find the best ways to advance in nurse management and patient care services. Nursing leadership is most desirable in the delivery of health care services. Since there is limited information about leadership skills in Mongolia, to solve the problem of the sustainability of nursing leadership, we carried out this study to explore factors contributing to the sustainability of nursing leadership and their correlation relatively to nurse managers in healthcare institutions. A sample of 205 nurse managers from all forms of health facilities participated in this study. The data were analyzed by descriptive, correlation, and multiple linear regression models using SPSS 19 version. The linear combination of the five independent variables was significantly related to the dependent variable (nurse leadership). Both the behavior and problem-solving are significant regressors of the dependent variable. The correlation analysis significance of the independent study variables, two were found to have a significant effect on nursing leadership: behavior and performance of nurses significantly and positively effect nursing leadership. The transformational role and nurse leadership produced a significantly positive Correlation coefficients give a direction of causation in the relationships of variables, and the multiple linear regression analysis says that two of the variables, namely, behavior and problem-solving, positively contribute to nursing leadership, two of the variables namely, work environment and performance nurse manager do not support; however, variable transformational ability majorly contributes to the sustainability of nursing leadership.

Background: This research focused on the association between physical activity and fruit-vegetable intake and the risk of depression in middle aged and older Taiwanese adults. Methods: Data were obtained from the 1999 to 2015 datasets of the Taiwan Longitudinal Survey on Aging (TLSA), and 4,400 participants were included in 1999 (aged ≥ 53years). Descriptive statistics provided all of the basic characteristic variables. A chi-square test analyzed the association between sex, age, years of education, marriage, hypertension, drinking, smoking, and the incidence of depression. Logistic regression analysis was used to determine significant associations between physical activity and fruit-vegetable intake, and the presence or absence of depression after 16 years. Results: Combined high physical activity and fruit-vegetable intake reduced the risk of depression by 80% (OR = 0.20, 95% CI = 0.10–0.45, p = 0.001) compared to low physical activity and fruit-vegetable intake; high physical activity and moderate or low fruit-vegetable intake caused a 70% reduction (OR = 0.30, 95% CI = 0.15–0.63, p = 0.005). High fruit-vegetable intake and low physical activity caused a 65% reduction (OR = 0.35, 95% CI = 0.15–0.63, p = 0.005), compared to low physical activity and low fruit-vegetable intake. High physical activity alone caused a 40% reduction, which is the same as by high fruit-vegetable intake alone. Conclusions: Fruit-vegetable intake combined with physical activity was negatively correlated with the risk of depression. More fruit-vegetable intake and physical activity might reduce this risk. The results highlight the importance of physical activity and fruit-vegetable consumption for middle-aged and older adults to prevent depression.