Citations

AbstractThis article is the result of the North American Neuroendocrine Tumor Society consensus conference on the medical management of pancreatic neuroendocrine tumors from July 19 to 20, 2018. The guidelines panel consisted of medical oncologists, pathologists, gastroenterologists, endocrinologists, and radiologists. The panel reviewed a series of questions regarding the medical management of patients with pancreatic neuroendocrine tumors as well as questions regarding surveillance after resection. The available literature was reviewed for each of the question and panel members voted on controversial topics, and the recommendations were included in a document circulated to all panel members for a final approval.

Abstract Background: Regular use of nonsteroidal anti-inflammatory drugs (NSAID) is associated with lower risk of colorectal cancer. Genome-wide interaction analysis on single variants (G × E) has identified several SNPs that may interact with NSAIDs to confer colorectal cancer risk, but variations in gene expression levels may also modify the effect of NSAID use. Therefore, we tested interactions between NSAID use and predicted gene expression levels in relation to colorectal cancer risk. Methods: Genetically predicted gene expressions were tested for interaction with NSAID use on colorectal cancer risk among 19,258 colorectal cancer cases and 18,597 controls from 21 observational studies. A Mixed Score Test for Interactions (MiSTi) approach was used to jointly assess G × E effects which are modeled via fixed interaction effects of the weighted burden within each gene set (burden) and residual G × E effects (variance). A false discovery rate (FDR) at 0.2 was applied to correct for multiple testing. Results: Among the 4,840 genes tested, genetically predicted expression levels of four genes modified the effect of any NSAID use on colorectal cancer risk, including DPP10 (PG×E = 1.96 × 10−4), KRT16 (PG×E = 2.3 × 10−4), CD14 (PG×E = 9.38 × 10−4), and CYP27A1 (PG×E = 1.44 × 10−3). There was a significant interaction between expression level of RP11-89N17 and regular use of aspirin only on colorectal cancer risk (PG×E = 3.23 × 10−5). No interactions were observed between predicted gene expression and nonaspirin NSAID use at FDR < 0.2. Conclusions: By incorporating functional information, we discovered several novel genes that interacted with NSAID use. Impact: These findings provide preliminary support that could help understand the chemopreventive mechanisms of NSAIDs on colorectal cancer.

Abstract Introduction. Commonly prescribed medications are associated with various gastrointestinal (GI) side effects but few data are available on prescription medication use and polypharmacy in a gastroenterology outpatient practice. We aimed to examine the prevalence of polypharmacy, defined as the simultaneous use of 5 or more medications. Methods. A descriptive correlational study of consecutive outpatient consultations in 988 patients referred to a tertiary gastroenterology practice. Main outcome measurements were frequency of prescription medication use and polypharmacy. Results. The most common GI symptoms were abdominal pain (72%), nausea (57%), and constipation (53%). The frequency of polypharmacy was 10%. Eighty percent of patients took at least one medication and 60% took two or more. The most frequently used medication classes were proton pump inhibitors (43%), followed by benzodiazepines (30%), selective serotonin-reuptake or norepinephrine-reuptake inhibitors (28%), non-steroidal anti-inflammatory drugs (27%), and opioids (21%). Conclusion. There was a higher use of prescription medicine including antidepressants, and a lower frequency of polypharmacy in our study cohort compared to the general population. The use of medications may have contributed to the symptoms leading to our study’s population GI consultation.

Abstract Registry-based epidemiologic studies suggest associations between chronic inflammatory intestinal diseases and pancreatic ductal adenocarcinoma (PDAC). As genetic susceptibility contributes to a large proportion of chronic inflammatory intestinal diseases, we hypothesize that the genomic regions surrounding established genome-wide associated variants for these chronic inflammatory diseases are associated with PDAC. We examined the association between PDAC and genomic regions (±500 kb) surrounding established common susceptibility variants for ulcerative colitis, Crohn's disease, inflammatory bowel disease, celiac disease, chronic pancreatitis, and primary sclerosing cholangitis. We analyzed summary statistics from genome-wide association studies data for 8,384 cases and 11,955 controls of European descent from two large consortium studies using the summary data-based adaptive rank truncated product method to examine the overall association of combined genomic regions for each inflammatory disease group. Combined genomic susceptibility regions for ulcerative colitis, Crohn disease, inflammatory bowel disease, and chronic pancreatitis were associated with PDAC at P values < 0.05 (0.0040, 0.0057, 0.011, and 3.4 × 10−6, respectively). After excluding the 20 PDAC susceptibility regions (±500 kb) previously identified by GWAS, the genomic regions for ulcerative colitis, Crohn disease, and inflammatory bowel disease remained associated with PDAC (P = 0.0029, 0.0057, and 0.0098, respectively). Genomic regions for celiac disease (P = 0.22) and primary sclerosing cholangitis (P = 0.078) were not associated with PDAC. Our results support the hypothesis that genomic regions surrounding variants associated with inflammatory intestinal diseases, particularly, ulcerative colitis, Crohn disease, inflammatory bowel disease, and chronic pancreatitis are associated with PDAC. Significance: The joint effects of common variants in genomic regions containing susceptibility loci for inflammatory bowel disease and chronic pancreatitis are associated with PDAC and may provide insights to understanding pancreatic cancer etiology.

Abstract Background: Awareness of burnout has led residency programs to seek interventions to promote well-being, resiliency, camaraderie and social network development. Limited evidence exists on the efficacy of specific interventions. This study evaluated the efficacy of an emergency medicine residency program’s semi-annual retreat using serial administration of the Maslach burnout index and resident well-being survey.Methods: Surveys were administered to all emergency medicine residents (n=25) in July 2018 and before and after fall 2018 and winter 2019 retreats. Retreats included a meal, team building, and social networking opportunities (bowling, softball, snow tubing, and sledding). Comparisons of responses between baseline, pre-retreat, and post-retreat were evaluated using two-sample t, Wilcoxon rank sum, and Fisher exact tests. Results: Sixteen emergency medicine residents (64%) responded at baseline. Response rates on subsequent surveys ranged from 14 (56%) to 21 (84%). Nineteen percent of residents exhibited burnout at baseline. This peaked at 36% pre-winter retreat. Burnout decreased after each retreat (fall: 29% to 6%, winter: 36% to 13%). Mean Maslach burnout index subscores for emotional exhaustion (13 to 9) and depersonalization (7 to 5) decreased from baseline to post-fall retreat, but neither changed significantly over the entire study period (emotional exhaustion: 13 to 12, depersonalization: 7 to 6). Resident well-being survey pre- and post-retreat responses were similar on all items.Conclusion: Meaningful, but not statistically significant differences were detected on the Maslach burnout index and resident well-being survey in association with a retreat. Mean emotional exhaustion, depersonalization and burnout decreased after retreats. Larger studies would provide further insight into the significance of these trends.