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The use of opioids across all specialties has increased greatly over the last 2 decades and along with it, opioid misuse, overdose and death. The contribution of opioids prescribed for gynecologic cancers to this problem is unknown. Lomerizine inhibitor Data from other surgical specialties show prescriber factors including gender, geographic location, board certification, experience, and fellowship training influence opioid prescribing. To characterize national-level opioid prescription patterns among gynecologic oncologists treating Medicare beneficiaries. The Centers for Medicare and Medicaid Services database was used to access Medicare Part D opioid claims prescribed by gynecologic oncologists in 2016. Prescription and prescriber characteristics were recorded including medication type, prescription length, number of claims, and total day supply. Region of practice was determined according to the US Census Bureau Regions. Board certification data were obtained from American Board of Obstetrics and Gynecology website. Bivariate statistical analysis and linear regression modeling were performed using Stata version 14.2. In 2016, 494 board-certified US gynecologic oncologists wrote 24,716 opioid prescriptions for a total 267,824 days of treatment (median 8 [interquartile range IQR 6, 11] prescribed days per claim). Gynecologic oncologists had a median of 33 opioid claims (IQR 18, 64). Male physicians had significantly more opioid prescription claims than females (P 15 years had a greater number of median opioid claims (28 IQR 16, 50) than those with less then 5 years since board certification (22 IQR 15, 38) (P= 0.04). Physicians who were board certified in palliative care (n = 19) had significantly more opioids claims (median 40; IQR 18, 91) than those without (median 32; IQR 18, 64) (P less then 0.01). In 2016, there were gender-based, regional, and experience-related variations in opioid prescribing by providers caring for Medicare-insured patients. Major depression is common among people with epilepsy (PWE), but it is underdiagnosed. The aim of the present study was to assess the reliability and validity of the Persian version of the Neurological Disorders Depression Inventory for Epilepsy (P-NDDI-E) as a screening tool for major depression in patients with epilepsy. A total of 210 patients suffering from epilepsy have been assessed using the NDDI-E and the Beck Depression Inventory-II (BDI-II) with no difficulty in understanding or answering the Persian version of the questionnaire. Patients identified as depressed under BDI-II underwent a psychiatric evaluation to confirm depression according to 10th revision of the International Statistical Classification of Diseases and Related Health Problems (ICD) criteria. According to the BDI-II and the ICD-10 criteria, major depression was diagnosed in 75 patients (32% men, 68% women). Cronbach's α coefficient was 0.826, suggesting a very good internal consistency. The receiver operating characteristic analysis showed an area under the curve of 0.90 (95% confidence interval [CI] = 0.86-0.94, standard error [SE] 0.02, p < 0.001). A cutoff of ≥14 resulted in an 83% sensitivity, an 80% specificity, a 70.1% positive predictive value, and an 88.6% negative predictive value. A significant and positive correlation between the P-NDDI-E and the BDI-II was shown (Spearman's ρ = 0.604, p < 0.001). The P-NDDI-E could be used as a reliable and valid instrument in detecting major depression in PWE. The P-NDDI-E could be used as a reliable and valid instrument in detecting major depression in PWE.Spontaneous coronary artery dissection (SCAD) is a rare but life-threatening disorder. SCAD is gaining importance as an emerging cause of acute coronary syndrome (ACS), especially in otherwise healthy young women. While SCAD and ACS show similarity in presentation, the management of SCAD differs to that of ACS. If not managed properly SCAD can lead to sudden death. This review examines the pathophysiology, clinical presentation, diagnostic algorithms, and the current and future management of SCAD. Computed tomography (CT)-defined sarcopenia is a demonstrated poor prognostic factor for survival in patients with cancer, however, its impact in patients with head and neck cancer (HNC) has only recently been explored. This study aimed to determine the prognostic impact of CT-defined sarcopenia at the level of the third lumbar vertebra (L3) on overall survival in patients with HNC undergoing radiotherapy±other treatment modality of curative intent. A systematic review of the literature published between January 2004 and May 2020 was conducted in Medline, Embase, CINAHL, AMED and PubMed. Empirical studies in adults (≥18 years) who had completed radiotherapy of curative intent±other treatment modalities that evaluated sarcopenia using the gold standard method at L3 and applied sex-specific cut-offs were included. Outcome of interest was overall survival. Study quality was assessed using the Quality In Prognosis Studies (QUIPS) tool. Hazard ratios with 95% confidence intervals derived from multivariate analevidence for overall survival according to GRADE was low for pre-treatment sarcopenia and moderate for post-treatment sarcopenia. CT-defined sarcopenia is independently associated with reduced overall survival in patients with HNC and holds a clinically meaningful prognostic value. Consensus regarding sarcopenia assessment and definitions is warranted in order to substantiate these findings and support implementation of body composition assessment as a clinically meaningful prognostic tool into practice. CT-defined sarcopenia is independently associated with reduced overall survival in patients with HNC and holds a clinically meaningful prognostic value. Consensus regarding sarcopenia assessment and definitions is warranted in order to substantiate these findings and support implementation of body composition assessment as a clinically meaningful prognostic tool into practice. Crude diagnostic parameters such as BMI limit recognition of malnutrition in overweight and obese patients. This study applied a robust malnutrition diagnostic measure to investigate whether malnutrition impacts clinical outcomes in overweight or obese hip fracture inpatients. A prospective, consecutive 12-month audit of inpatients admitted to a dedicated hip fracture unit with a BMI of ≥25 for surgical intervention. Univariate and logistic regression analyses were performed to investigate the relationship of demographics (age, gender), comparative measures (type of fracture, Charlson Comorbidity Index (CCI) on admission, time to surgery, type of surgery and anaesthesia, nutrition status) and outcome measures (delirium, time to mobilise post-operatively, length of stay, 12-month mortality). Malnutrition was defined using the International Classification of Diseases, Tenth Revision – Australian Modification protein-energy malnutrition criteria. 127 overweight or obese hip fracture patients for surgical intervention were included in analyses.