Citations

9628 Background: As multiple treatments have been studied for the management of hot flashes in randomized, controlled trials, hot flash placebo responses have been quite variable across trials. Based on observations of trial reports, it was hypothesized that the magnitude of placebo effect might correlate with the number of baseline hot flashes in different studies. The current project examines the effect of the baseline hot flash frequency required for study participation and also the actual number of baseline hot flashes observed as these individually relate to the eventual reductions of hot flash frequency observed in patients receiving placebos. Methods: Data were collected from placebo-controlled, double-blinded, randomized trials, identified by a PubMed search, which reported hot flash frequency at baseline, 4–6 weeks and 12 weeks. Trials were excluded if they had less than 20 participants completing the placebo arm. Data gathered, in each study, included the number of hot flashes required to enroll in the study, the average hot flash number during the baseline period, and the hot flash changes in the placebo arms of each study (percent reduction from the baseline period). A simple statistical analysis was conducted in a descriptive fashion since standard deviation was not available in many trials. Scatter plots and Pearson's correlation coefficients demonstrated the relationships between the placebo hot flash percent reduction from baseline and both the minimum required number of hot flashes at baseline, and the mean number of hot flashes at baseline. Results: 45 trials with 49 placebo arms were included in this analysis. A significant positive correlation was seen between the number of hot flashes required to enroll in a study and the percent reduction of hot flashes from baseline at 4–6 weeks (Rho = 0.481, p = 0.003). There was also a significant positive correlation between the number of hot flashes at baseline and the percent reduction of hot flashes from baseline at 4–6 weeks (Rho = 0.481, p= 0.002) and at 12 weeks (Rho = 0.573, p= 0.003). Conclusions: These data support that higher baseline hot flash enrollment requirements and also higher baseline hot flash frequencies are associated with an increased placebo response. No significant financial relationships to disclose.

e19031 Background: Useful predictors of survival in cancer patients have been found including such as gender, race, age, marital status, state of disease and tumor location. We set to explore the prognostic value of baseline QOL assessments on overall survival in lung cancer patients. Methods: A total of 1,319 lung cancer patients were followed at Mayo Clinic between 1997 and 2007. Overall QOL was assessed by either Lung Cancer Symptom Scale (LCSS) or a single-item Linear Analogue Self Assessment (LASA) with comparable wording. QOL scores were transformed to a 0–100 scale with higher scores representing better status. Patients QOL scores assessed within the first 6 months of follow-up were dichotomized using a priori definition for clinically deficiency score (CDS, ≤50 vs. >50). The Kaplan-Meier method was used to estimate the distribution of survival times by QOL clinical deficient categorization. Cox Proportional Hazards Models were used to evaluate the prognostic importance of QOL on OS alone and in the presence of age, smoking category, gender, treatment, stage of disease, smoking cessation and years of consuming a pack every day. Results: Baseline QOL was significantly associated with OS univariately (HR=0.46 with p<0.0001 based on the CDS categorization). After controlling for all these other factors, the indication of a clinically deficient baseline QOL contributed significantly to the prediction of patient survival (p=0.0002; HR=0.67). Age, treatment, disease stage, smoking cessation and smoking category were also significant predictors of OS multivariately. The median survival for patients that had an overall QOL score less than the CDS (≤50) was 1.6 versus 4.6 years for patients with QOL >50. Conclusions: Baseline overall QOL measured by LCSS or LASA is a significant and independent prognostic factor for OS in lung cancer patients. A meaningful next step in this research is to investigate interventions to improve lung cancer patient QOL and thereby increase their likelihood of survival as well. No significant financial relationships to disclose.

6518 Background: Several studies have demonstrated the importance of pessimism in cardiovascular disease. However, this construct has not been well explored in oncology. Methods: This study examined the survival time of 534 adult who were diagnosed with lung cancer. These patients had completed the Minnesota Multiphasic Personality Inventory (MMPI) approximately 18.2 years prior to their lung cancer diagnosis. MMPI Optimism-Pessimism (PSM) scores were divided into high (60 or more) and low scores (less than 60), and log-rank tests and Kaplan-Meier curves were used to determine survival differences. Multivariate Cox models were used for assessing prognostic values of pessimism along with other known predictors for survival outcome. Results: At the time of diagnosis, patients were on average 67 years old, 48% were female, 85% had non-small cell lung cancer (NSCLC), 15% had small cell lung cancer (SCLC), 30% were stage I, 4% were stage II, 31% were stage III/Limited, and 35% were stage IV/Extensive. Patients who exhibited a non-pessimistic explanatory style survived approximately six months longer than patients classified as pessimists. Pessimists have significantly worse survival rates even after adjusting for other known prognostic variables. Conclusions: Among lung cancer patients, having a pessimistic explanatory style was related to surviving on average six months less compared to patients with a non-pessimistic explanatory style. [Table: see text] No significant financial relationships to disclose.

Abstract BACKGROUND Prior comparisons of brain arteriovenous malformations (AVMs) treated using stereotactic radiosurgery (SRS) with or without embolization were inherently flawed, due to differences in the pretreatment nidus volumes. OBJECTIVE To compare the outcomes of embolization and SRS, vs SRS alone for AVMs using pre-embolization malformation features. METHODS We retrospectively reviewed International Radiosurgery Research Foundation AVM databases from 1987 to 2018. Patients were categorized into the embolization and SRS (E + SRS) or SRS alone (SRS-only) cohorts. The 2 cohorts were matched in a 1:1 ratio using propensity scores. Primary outcome was defined as AVM obliteration. Secondary outcomes were post-SRS hemorrhage, all-cause mortality, radiologic and symptomatic radiation-induced changes (RIC), and cyst formation. RESULTS The matched cohorts each comprised 101 patients. Crude AVM obliteration rates were similar between the matched E + SRS vs SRS-only cohorts (48.5% vs 54.5%; odds ratio = 0.788, P = .399). Cumulative probabilities of obliteration at 3, 4, 5, and 6 yr were also similar between the E + SRS (33.0%, 46.4%, 56.2%, and 60.8%, respectively) and SRS-only (32.9%, 46.2%, 56.0%, and 60.6%, respectively) cohorts (subhazard ratio (SHR) = 1.005, P = .981). Cumulative probabilities of radiologic RIC at 3, 4, 5, and 6 yr were lower in the E + SRS (25.0%, 25.7%, 26.7%, and 26.7%, respectively) vs SRS-only (45.3%, 46.2%, 47.8%, and 47.8%, respectively) cohort (SHR = 0.478, P = .004). Symptomatic and asymptomatic embolization-related complication rates were 8.3% and 18.6%, respectively. Rates of post-SRS hemorrhage, all-cause mortality, symptomatic RIC, and cyst formation were similar between the matched cohorts. CONCLUSION This study refutes the prevalent notion that AVM embolization negatively affects the likelihood of obliteration after SRS.

Background: Patients with cholangiocarcinoma often have indwelling biliary stents or catheters which are prone to obstructions and/or infections; studies show that 20–40% present with fever and/or jaundice requiring urgent treatment in the outpatient setting for which there are no uniform guidelines. The goal was to develop an expert panel consensus on this topic using the modified RAND/UCLA Delphi process to rate treatment appropriateness. Methods: Thirteen expert physicians from relevant specialties, geography, and practice settings were recruited for the panel. Patient scenarios were developed and panelists rated the therapies before and after a face-to-face discussion. The appropriateness of various therapies was rated on a scale from 1–9 and classified as appropriate, inappropriate, or uncertain. Scenarios with greater than 2 (>2) ratings of 1–3 (inappropriate) and greater than 2 (>2) ratings of 7–9 (appropriate) were considered to have disagreement and were not assigned an appropriateness rating. Results: Panelists were from all US regions and the UK (8%) and had practiced for a mean 16.5 years (4–33 years). Panelists rated 480 scenarios before the meeting and re-rated 288 of the clinical scenarios after the meeting. The panelists agreed that ongoing treatment with chemotherapy did not influence decision-making and, therefore, 192 scenarios were excluded from the final list. Disagreement decreased from 37.5% before to 10.4% after the meeting. Consensus on stent/tube manipulation and inpatient antibiotic therapy was obtained and summarized in patients as “appropriate” or “maybe appropriate” based on a patient’s bilirubin level at presentation. Conclusions: The Delphi process produced consensus guidelines to fill an unmet need in the urgent management of ascending cholangitis in patients with cholangiocarcinoma.

Abstract Background The level of inflammatory bowel disease (IBD) training in general gastroenterology fellowship is often insufficient to prepare trainees to deliver advanced IBD care in practice. Advanced IBD fellowships have been developed to fill this training gap, but there is no established curriculum, and significant variability exists across programs. Entrustable professional activities (EPAs) are practical and realistic objectives that define essential tasks of a specialty that physicians should master to be competent during independent practice. The American College of Gastroenterology (ACG) and Crohn’s & Colitis Foundation (Foundation) established a task force to develop and appraise EPAs for advanced IBD fellowship. Methods Entrustable professional activities were developed using a multistep approach in a similar manner to other specialties. Initial EPAs identified via focus groups were evaluated, critiqued, and changed using an iterative model of feedback. The final EPAs were selected after the task force conducted a 3-phase modified Delphi method consisting of 2 sequential rounds of web-based voting and an in-person consensus meeting. Results Ten EPAs for advanced IBD fellowship were established including detailed descriptions with the associated knowledge, skills, and attitudes for each that can serve as curricular milestones. Conclusion Ten EPAs describing the core work of an advanced IBD fellowship–trained physician have been established by a multisociety task force. Creating EPAs for an advanced curriculum comes with unique challenges, particularly the need to prevent duplication of prior training competencies while demonstrating the potential for unique milestones.

Abstract Background: Genetic studies have shifted to sequencing-based rare variants discovery after decades of success in identifying common disease variants by Genome-Wide Association Studies using Single Nucleotide Polymorphism chips. Sequencing-based studies require large sample sizes for statistical power but often inadvertently introduce batch effects because samples are typically collected, processed, and sequenced at multiple centers. Conventionally, batch effects are first detected and visualized using Principal Components Analysis and then controlled by including batch covariates in the disease association models. For sequencing-based genetic studies, because all variants included in the association analyses have passed quality control measures, this conventional approach treats every variant as equal and ignores the substantial differences still remaining in variant qualities and characteristics such as genotype quality scores, alternative allele fractions (fraction of reads supporting alternative allele at a variant position) and sequencing depths. Results: In the Alzheimer’s Disease Sequencing Project (ADSP) exome dataset of 9,904 cases and controls, we discovered hidden variant-level differences between sample batches of three sequencing centers and two exome capture kits. Although sequencing centers were included as a covariate in our association models, we observed differences at the variant level in genotype quality and alternative allele fraction between samples processed by different exome capture kits that significantly impacted both the confidence of variant detection and the identification of disease-associated variants. Furthermore, we found that the association signals of a subset of top disease risk variants came exclusively from samples processed by one exome capture kit that was more effective at capturing the alternative alleles compared to the other kit. Conclusions: Our findings highlight the importance of additional variant-level quality control for large sequencing-based genetic studies. More importantly, we demonstrate that automatically filtering out variants with batch differences may lead to false negatives if the batch discordance came largely from quality differences and if the variants from one batch had better quality scores.

ABSTRACT The development of high-throughput genotyping technologies and large biobank collections, complemented with rapid methodological advances in statistical genetics, has enabled hypothesis-free genome-wide association studies (GWAS), which have identified hundreds of genetic variants across many loci associated with musculoskeletal conditions. Similarly, basic scientists have valuable molecular cellular and animal data based on musculoskeletal disease that would be enhanced by being able to determine the human translation of their findings. By integrating these large-scale human genomic musculoskeletal datasets with complementary evidence from model organisms, new and existing genetic loci can be statistically fine-mapped to plausibly causal variants, candidate genes, and biological pathways. Genes and pathways identified using this approach can be further prioritized as drug targets, including side-effect profiling and the potential for new indications. To bring together these big data, and to realize the vision of creating a knowledge portal, the International Federation of Musculoskeletal Research Societies (IFMRS) established a working group to collaborate with scientists from the Broad Institute to create the Musculoskeletal Knowledge Portal (MSK-KP)(http://mskkp.org/). The MSK consolidates omics datasets from humans, cellular experiments, and model organisms into a central repository that can be accessed by researchers. The vision of the MSK-KP is to enable better understanding of the biological mechanisms underlying musculoskeletal disease and apply this knowledge to identify and develop new disease interventions. © 2020 American Society for Bone and Mineral Research (ASBMR).