78, 95% CI 0.63-0.96). Despite overall lower use of hospice, racial/ethnic minority patients had comparable odds of late hospice utilization (i.e., within 3 days of death) versus white patients (OR 1.5, 95% CI 0.73-1.50). DISCUSSION While most patients undergoing pancreatectomy for pancreatic cancer utilized hospice services prior to death, racial/ethnic minorities were less likely to use hospice services than whites.BACKGROUND Hepatic resection often results in delirium in preoperatively self-sufficient elderly people. The association of frailty with postoperative delirium remains unclear, and preoperative risk assessment, including frailty, of postoperative delirium has not been established. METHODS This prospective multicenter study included 295 independently living patients aged ≥ 65 years scheduled for initial hepatic resection. All patients answered the phenotypic frailty index Kihon Checklist, which is a self-reporting list of 25 questions, within a week before surgery. The risk factors for postoperative delirium were investigated. Patients who scored ≥ 4 in the Intensive Care Delirium Screening Checklist were designated as having postoperative delirium. this website RESULTS Delirium developed after liver resection in 22 of 295 patients (7.5%). Total Kihon Checklist score (≥ 6 points), age (≥ 75 years), and serum albumin concentration (≤ 3.7 g/dL) were the independent risk factors for postoperative delirium. The proportion of patients with postoperative delirium was 0% in those with no applicable risk factors, 3.2% in those with one applicable risk factor, 12.0% in those with two applicable risk factors, and 40.9% in those with all three factors (p  less then  0.001). The area under the receiver operating characteristic curve for this risk assessment for predicting postoperative delirium was 0.842. CONCLUSION The use of these three factors for preoperative risk assessment may be effective in predicting and preparing for delirium after hepatic resection in elderly patients.BACKGROUND The AJCC made four changes to T category in the 8th AJCC stage for ICC, but this is a topic of debate. METHODS Data from 820 patients with ICC were extracted from the SEER database. Survival analysis of the 8th AJCC stage was examined. RESULTS To verify the four T staging changes by survival analysis prognosis of patients with tumor size > 5 cm was poorer than that with tumor size ≤ 5 cm (P  less then  0.05); in N0M0 cohort, there was no significant difference in survival between solitary tumor with vascular invasion and multiple tumors (P = 0.092), tumor perforating the visceral peritoneum with and without involving local extrahepatic structures by direct invasion (P = 0.470), and tumor with and without periductal invasion (PI) (P = 0.220). The prognosis of patients with ≥ 4 positive lymph nodes was relatively poor compared with 1-3 positive lymph nodes (P = 0.037) and similar to patients with stage IV (8th AJCC, P = 0.585). CONCLUSION This study found that there was no significant difference in survival between tumor perforating the visceral peritoneum with and without involving local extrahepatic structures by direct invasion, whereas other T staging changes were effective. The inclusion of the number of positive lymph nodes in the 8th AJCC stage may improve prognostic discrimination in ICC patients.BACKGROUND To examine if selected demographic (age, gender), clinical (diabetes, coronary artery disease, hyperlipidemia, myocardial infarction, stroke, lung disease, smoking history, alcohol intake), and biomarker [blood pressure (BP), heart rate, body mass index (BMI), neck circumference, Mallampati score] variables are predictors of apnea-hypopnea index (AHI) from polysomnography (PSG). METHODS This cross-sectional study recruited a sample of adults (N = 170) who were being evaluated for OSA. Participants completed self-reported demographic and clinical questionnaires, and then completed PSG (n = 142). Multi-collinearity was assessed. Confounding factors, correlations, and potential interactions were explored. RESULTS The final regression model was performed on 130 participants; 61 (46.9%) had an AHI ≥ 15. Systolic and diastolic BPs were highly correlated. Interactions were tested between gender and other variables (high cholesterol, BMI, neck circumference, systolic BP) and between systolic BP and other variables (high cholesterol, BMI, neck circumference, and lung disease). No interactions occurred between gender or systolic BP and other variables, meaning that the effects of the variables on AHI levels from PSG did not vary depending on gender or systolic BP. BMI, systolic BP, and absence of lung disease were predictors for AHI levels ≥ 15 from PSG. CONCLUSIONS BMI and systolic BP were significant predictors of OSA in this study. The absence of lung disease as a significant predictor was unique and may be due to the small number of participants who self-reported lung disease. To our knowledge, this is the first study to report this combination of variables to predict AHI levels ≥ 15 from PSG.BACKGROUND This study aimed to show the predictive value of simple polysomnographic parameters including latency of deep sleep (nREM3), latency of rapid eye movement sleep (REM), and minimum oxygen saturation (SpO2) for predicting failure of autoadjusting positive airway pressure (APAP) titration. METHODS Out of 1470 patients with moderate to severe obstructive sleep apnea syndrome (OSAS) who underwent APAP titration between July 1, 2016, and December 31, 2017, 22 patients with titration failure were enrolled in the study. The demographic and polysomnographic characteristics of this group were compared with 44 patients with an adequate APAP titration who were matched with the titration failure group by age, sex, and OSAS severity. The periods between the start of sleep and the start of REM and nREM3 stages were noted as REM latency and nREM3 latency, respectively. RESULTS The between group differences in the parameters including nREM3 latency, REM latency, and minimum SpO2 during the titration test were statistically significant (p = 0.