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10, 95% confidence interval (CI) = 1.04-1.23] and learning complaints (OR = 1.18, 95% CI = 1.12-1.26). Significant associations were only observed among the middle-aged (45-64 years; learning complaints OR = 1.19, 95% CI = 1.06-1.33) and older populations (≥65 years; memory complaints OR = 1.31, 95% CI = 1.15-1.49, and learning complaints OR = 1.41, 95% CI = 1.24-1.60). Chronic physical conditions, sleep problems, depression, and anxiety explained between 7.7% and 29.4% of the PA-SCC association among those aged ≥45 years. CONCLUSIONS AND IMPLICATIONS Low PA was associated with increased odds for more severe SCCs in middle-aged and older adults in LMICs. Given the particularly rapid increase in dementia in LMICs, more longitudinal research is warranted from this setting to understand the utility of PA promotion in the prevention of cognitive impairment. PURPOSE Older patients with brain metastases (BM) are often excluded from clinical trials. The aim of our study was to investigate the outcomes following Gamma Knife radiosurgery (GKRS) in young old (65-74 years) and very old (≥75 years) patients with BM. METHODS Between October 2012 and October 2018, we treated 89 patients aged ≥65 years with GKRS. Patients were divided in two group young old (YO) and very old (VO) patients. At baseline G8, Graded Prognostic Assessment (DS-GPA) and Basic Score for Brain Metastases (BSBM) were assessed for all patients. Survival analysis was estimated using the Kaplan-Meier (KM) method. Cox regression model was used to investigate the influence of significant factors on KM. RESULTS Median age at the time of GKRS was 72.2 years (range 65-87). Selleckchem Tyloxapol A mean of 2.52 lesions were treated per patient (range 1-14). Median overall survival (OS) for YO and VO patients was 14.2 and 15.7 months, respectively. At univariate analysis, there were no significant differences in OS between the two age groups. A high BSBM (p ≤ .0001) and a high DS-GPA score (p = .0069) were associated with longer survival. A low DS-GPA score was the most powerful independent factor for predicting short survival (HR 1.76, 95% CI 1.25-2.46, p = .001) at multivariate analysis. CONCLUSION GKRS is a safe approach to treat BM in elderly patients. DS-GPA score represents an important prognostic factor for survival in elderly patients undergoing GKRS. OBJECTIVES Despite cancer and dementia being conditions in which prevalence increases with age, there remains limited research on the cancer treatment and care needs of this population. Our study aimed to address this gap and this paper reports on the role of supportive networks in enabling people with dementia to access cancer treatment and care. MATERIALS AND METHODS An ethnographic study involving seventeen people with cancer and dementia, 22 relatives and nineteen oncology staff. It comprised observations (46 h) of and informal conversations during oncology appointments attended by people with dementia and their relatives and semi-structured interviews (n = 37) with people living with cancer and dementia, their relatives and staff working in various roles across oncology services. Data were analysed using thematic analysis. RESULTS Patients and oncology staff relied on and expected relatives to provide practical and emotional support around cancer treatment and care. Families varied in their ability to provide required support due to extent of the family network, practical issues, knowledge of the patient and their wishes, family conflict and the patient's willingness to accept help. Where no family network was available, support provision was complex and this could compromise access to cancer treatment. CONCLUSIONS People with comorbid cancer and dementia rely heavily on a supportive family network to access treatment and care. Oncology services need to assess the supportive networks available to individual patients in developing cancer treatment plans. Urgent consideration needs to be given to how those with no family networks can be appropriately supported. INTRODUCTION Prognostic Nutritional Index (PNI) is associated with disease and overall survival in patients with cancer. We aimed to assess the relationship between PNI, frailty, and six-month postoperative survival in older patients with cancer. METHODS In this retrospective study, patients with cancer aged ≥75 who underwent geriatric preoperative evaluation and then proceeded with elective surgery with hospital length of stay of ≥1 day and had six-month follow-up were included. PNI is measured by preoperative [10 × albumin(gr/dl)] + [0.005 × absolute lymphocyte count (per mm3)]. Higher PNI is suggestive of better nutritional status. Frailty was assessed by geriatric assessment. PNI among patients with and without each age-related impairment was evaluated. Pearson correlation coefficient was used to assess the correlation between the number of age-related impairments and PNI. Multivariable regression analysis was used to assess the relationship between six-month mortality and PNI. RESULTS PNI ranged from 19 to 49 (average 40) among 1025 patients (average age 80). Patients with impairment in Karnofsky Performance Status, falls in the past year, prolonged timed up and go test, limited social activity, significant weight loss, polypharmacy, polycomorbid conditions, depression, and dependent for basic and instrumental activities of daily living had lower PNI than fit patients. The correlation coefficient between PNI and number of aging impairments was -0.28 (p less then .001). Each unit increase in PNI was associated with 10% reduction in 6-month mortality (OR = 0.90, p less then .001). CONCLUSION PNI independent of frailty, age, American Society of Anesthesiologist Performance Scale (ASA-PS), and metastatic disease is associated with six-month postoperative mortality. Future studies should assess the interventions aimed at improving PNI and its impact on surgical outcomes. Type 2 diabetes has become one of the most serious diseases impairing people's life. Circulating miRNAs, involved in the development and progression of type 2 diabetes via different mechanisms, are considered a molecular marker for patients with type 2 diabetes. Based on the expression data of miRNAs in type 2 diabetes from the GEO database, our study screen out 5 differentially expressed candidate miRNAs through the interaction network between miRNAs and target genes and the protein interaction network (PPI) with random walk algorithm. Clinical newly diagnosed diabetic blood was recruited for further PCR experiments. Finally, miR-543 was significantly different, and its expression was up-regulated. miR-543 may become a new marker to bring forth innovation in individualized treatment of diabetes.
Homepage: https://www.selleckchem.com/products/tyloxapol.html
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