Citations

In 1995, Medicare reduced payments by 50% for anesthesiologists teaching two residents concurrently. By 2004, anesthesiology residency programs were losing, on average, $400,000 per year, causing many institutions to close their anesthesiology training programs. American Society of Anesthesiologists leaders tried unsuccessfully for several years to address this situation through appeals to Medicare. They then organized an advocacy effort to pass the Medicare Anesthesiology Teaching Funding Restoration Act of 2007, which in 2010 restored full payments for teaching anesthetics. From 2010 through 2024, anesthesiologists received $1.262 billion from Medicare for 2.8 million cases involving residents, which is between $442 million and $568 million more than if the legislation had not been enacted. Anesthesiology residency programs increased from 131 to 167 after the enactment. This historic legislation taught anesthesiologists that changing Medicare policies may require congressional action and that persistent and broad-based advocacy can make a legislative campaign successful.

Background: Sinonasal undifferentiated carcinoma (SNUC) is an extremely rare, high-grade, and aggressive tumor of the sinonasal tract. Due to the rarity of this malignancy, current treatment guidelines are based on small and often/mainly single-center retrospective datasets. In the absence of a universally accepted standard of care for SNUC, treatment approaches vary across countries and institutions, reflecting real-world clinical practice. The primary aim of this study was to describe real-world treatment and outcomes for patients with confirmed SNUC. Methods: This was an international, multi-center, retrospective, observational cohort study that pooled patients into the largest SNUC dataset to date. Fifteen centers were enrolled to contribute data, including seven from Europe, four from the United States, three from the United Kingdom, and one from Canada. In the absence of a universally accepted standard of care for SNUC, treatment approaches varied across countries and institutions, reflecting real-world clinical practice. Patients included were those with histologically confirmed SNUC who were treated between 1997 and 2021. Results: This study yielded 485 patients treated for SNUC. The median age at diagnosis was 55.6 years (IQR: 44.5–67.6), and 63.7% were male. Most cases presented at advanced stages, with 70.8% as T4a or T4b. Overall survival (OS) outcomes were available for 412 patients, with a median follow-up of 26.0 months. The 5- and 10-year OS were 47.2% (95% CI: 40.8–53.3%) and 39.6% (95% CI: 32.5–46.6%), respectively. Advanced age, dichotomized T-stage (T4a/b vs. T1–3), M-stage, and orbital involvement were significant poor prognostic factors on univariable analysis (p’s < 0.01). On multivariable analysis, orbital involvement (HR: 2.73, 95% CI: 1.42–5.27, p = 0.003) and distance metastasis stage (HR: 3.00, 95% CI: 1.25–7.21, p = 0.014) were both independently associated with worse OS. Conclusions: This observational study presents the largest multi-center cohort analysis of SNUC to date, providing new insights into prognostic factors for a rare cancer treated at global centers of excellence. Orbital involvement and the presence of metastases are candidate independent risk factors associated with poorer OS.

AbstractBackgroundThere are minimal epidemiological data comparing the burden of disorders of gut brain interaction (DGBI) in the UK with other countries. We compared the prevalence of DGBI in the UK with other countries that participated in the Rome Foundation Global Epidemiology Study (RFGES) online.MethodsParticipants from 26 countries completed the RFGES survey online including the Rome IV diagnostic questionnaire and an in‐depth supplemental questionnaire with questions about dietary habits. UK sociodemographic and prevalence data were compared with the other 25 countries pooled together.Key ResultsThe proportion of participants with at least one DGBI was lower in UK participants compared with in the other 25 countries (37.6% 95% CI 35.5%–39.7% vs. 41.2%; 95% CI 40.8%–41.6%,p = 0.001). The UK prevalence of 14 of 22 Rome IV DGBI, including irritable bowel syndrome (4.3%) and functional dyspepsia (6.8%), was similar to the other countries. Fecal incontinence, opioid‐induced constipation, chronic nausea and vomiting, and cannabinoid hyperemesis (p < 0.05) were more prevalent in the UK. Cyclic vomiting, functional constipation, unspecified functional bowel disorder, and proctalgia fugax (p < 0.05) were more prevalent in the other 25 countries. Diet in the UK population consisted of higher consumption of meat and milk (p < 0.001), and lower consumption of rice, fruit, eggs, tofu, pasta, vegetables/legumes, and fish (p < 0.001).Conclusions and InferencesThe prevalence and burden of DGBI is consistently high in the UK and in the rest of the world. Opioid prescribing, cultural, dietary, and lifestyle factors may contribute to differences in the prevalence of some DGBI between the UK and other countries.

Abstract Introduction: The development of hepatocellular carcinoma (HCC) is associated with underlying chronic liver disease from viral hepatitis or nonviral etiologies, such as nonalcoholic fatty liver disease (NAFLD) and alcoholic liver disease. An area of current research interest is the relationship between etiology of chronic liver disease in HCC patients and the response to specific treatment modalities. The purpose of this study is to identify prognostic indicators and compare survival outcomes among HCC patients within an Appalachian patient population. Methods: A single-institution, retrospective chart review was conducted for all patients diagnosed with HCC between August 2009 and March 2017 at West Virginia University Hospital. Patient demographics, tumor characteristics, laboratory data and treatment information were obtained from the electronic medical record (EMR). Survival analyses were performed using Kaplan-Meier method and multivariable Cox regression analysis. Results: The study sample (n=100) had a mean age of 62 years and was comprised of 82% males and 18% females. Nonviral etiologies of chronic liver disease were predominant (55%) over chronic viral hepatitis (45%). Significant adverse prognostic indicators of overall survival (OS) were Child-Pugh class C and tumor size &gt;5 cm at diagnosis (p&lt;0.0001, log-rank test). Patients who received liver-directed therapy (LDT) or liver resection had greater OS compared to those not treated with either modality (15.5 vs. 2.0 months, p&lt;0.0001). Liver ablation or resection as initial modes of treatment had greater OS compared to those who initially received transarterial chemoembolization (TACE) or transarterial radioembolization (TARE) (17.2 vs 14.9 months, p&lt;0.05). Patients who received TACE or TARE (n=60) as initial treatment had characteristics of advanced disease, with 45% having a tumor greater than 5 cm in size and 77% having multifocal unilobar or bilobar tumors. Among all patients who received LDT or resection, post-treatment albumin-bilirubin grade (ALBI) of 1 or 2 correlated with greater OS than grade 3 (22.5 vs 6.2 months, p&lt;0.0001). In the multivariate Cox analysis, tumor size, Child-Pugh class and mode of initial treatment (resection/ablation vs. TACE/TARE) were independent predictors of OS (p&lt;0.05). Conclusions: Treatment with LDT or liver resection correlated with greater overall survival in this predominantly nonviral cohort of HCC patients. Post-treatment ALBI grade correlated with overall survival and may have prognostic value in guiding clinical management. Mode of initial treatment was a predictor of overall survival, but further studies are needed to compare tumor characteristics between groups. Research is ongoing to evaluate the relationship between chronic liver disease etiology and survival among HCC patients treated with LDT, immunotherapy or a combination of both. Citation Format: Michelle Hartzell, Gary Monroe, Jon Shakesprere, Sijin Wen, J. Wallis Marsh, Jacob Fuqua, Robert Grammer, Beau Toskich, Midhun Malla. Prognostic indicators and outcomes of hepatocellular carcinoma (HCC) in an Appalachian population [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2023; Part 1 (Regular and Invited Abstracts); 2023 Apr 14-19; Orlando, FL. Philadelphia (PA): AACR; Cancer Res 2023;83(7_Suppl):Abstract nr 6745.

Abstract PURPOSE To examine incremental values of estrogen receptor (ER) status, body mass index (BMI), menopausal status, and a previously reported multi-gene classifier over commonly used clinical factors (i.e. age, tumor grade, comedonecrosis, surgical margins, and treatment) in predicting risk of any ipsilateral recurrence (IR) event within five years after DCIS diagnosis. METHODS A derivation cohort consisted of participants in the Translational Breast Cancer Research Consortium (TBCRC) 038, a retrospective multicenter cohort study in women undergoing surgical resection for DCIS between 01/01/1998 and 02/29/2016 (n=216). The validation cohort, the Repository of Archival Human Breast Tissue (RAHBT) at Washington University School of Medicine, provided cases meeting the same eligibility criteria as TBCRC038 (n=97). Participants in both cohorts had RNA-seq data and either developed IR 1-5y after initial DCIS diagnosis or were free from subsequent breast events for at least five years. The previously reported 812-gene classifier had been developed from a subset of the TBCRC038 samples using a negative-binomial regression model to identify differentially expressed genes in the primary tumor associated with subsequent recurrence events. This classifier has been shown to be highly correlated with 5-year invasive, DCIS, and all breast cancer events, and validated in the RAHBT cohort. Cox proportional hazards regression was used to estimate hazard ratios (HRs) of IR in the TBCRC038 cohort (76 with IR). The clinical score was developed using clinical predictors (aforementioned clinical factors and ER) and their regression coefficients from the model with the maximum predictive accuracy (e.g. c-index) and the minimum number of predictors; the summary score integrated the clinical score and multi-gene classifier. Predictive performance of both clinical and summary scores was validated in the RAHBT cohort (20 with IR). RESULTS In the TBCRC cohort derivation set, we used a multivariable model based on clinical factors alone (clinical score) and found that ER status, but not BMI or menopausal status, was independently associated with a higher IR risk (HR=2.06, 95% CI 1.18-3.58). Adding the multi-gene classifier to the clinical factors-based model (summary score) in the TBCRC038 test set increased predictive accuracy (c-index 0.68 to 0.70), with the genomic classifier-adjusted HR of 14.96 (95% CI 8.64-25.91). The summary score had higher predictive performance for IR risk than clinical score alone (c-index 0.82 vs. 0.70). In the RAHBT validation samples, model performance was similarly improved using summary scores clinical factors-based model plus multigene classifier as compared to clinical scores along (c-index 0.74 vs. 0.58). CONCLUSION Combining clinical factors and a multigene classifier provided more accurate risk estimates of IR within five years after excision of DCIS than clinical factors alone. Figure 1. Observed and predicted recurrence-free survival in the first five years after initial DCIS diagnosis in the RAHBT validation cohort, by risk groups defined by clinical scores (left) and clinical score plus multigene classifier (right). Citation Format: Ying Liu, Siri H. Strand, Lorraine King, Bryan Harmon, Fergus J. Couch, Kristalyn Gallagher, Mark Kilgore, Shi Wei, Angela DeMichele, Tari King, Priscilla F. McAuliffe, Jeffrey Marks, Carlo Maley, Robert West, E Shelley Hwang, Graham A. Colditz. Using clinical characteristics and molecular markers to predict the risk of subsequent ipsilateral breast events after excision of DCIS [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr P1-07-02.

Abstract Background. DCIS consists of a molecularly heterogeneous group of premalignant lesions, with variable risk of invasive progression. Understanding biomarkers for invasive progression could help individualize treatment recommendations based upon tumor biology. As part of the NCI Human Tumor Atlas Network (HTAN), we conducted comprehensive genomic analyses on two large DCIS case-control cohorts. Methods. We performed smart3-seq and low-pass whole genome sequencing on two independent, retrospective, longitudinally sampled DCIS case-control cohorts. TBCRC 038 was a multicenter cohort diagnosed with DCIS between 1998 and 2016 at one of the Translational Breast Cancer Research sites; the RAHBT (Resource of Archival Human Breast Tissue) cohort included women identified through the St. Louis Breast Tissue Repository, and the Women’s Health Repository diagnosed between 1997 and 2001. We studied the spectrum of molecular changes present and sought genomic predictors of subsequent ipsilateral breast events (iBEs: DCIS recurrence or invasive progression) in both DCIS epithelium and stroma in formalin fixed paraffin embedded tissue. We generated de novo tumor and stroma-centric subtypes for DCIS that represents fundamental transcriptomic organization. Copy number analysis was performed using low-pass DNA sequencing. Non-negative matrix factorization (NMF) was applied to the RNA expression of all coding genes to identify clusters. A negative-binomial regression model was used to identify differentially expressed genes. Results. We analyzed 677 DCIS samples from 481 patients with 7.1 years median follow-up. In TBCRC samples, we identified three clusters via NMF in TBCRC referred to as ER low, quiescent, and ER high. The ER-low cluster had significantly higher levels of ERBB2 and lower levels of ESR1 compared to quiescent and ER-high clusters. Quiescent cluster lesions were less proliferative and less metabolically active than ER high and ER low subtypes. These findings were replicated in the RAHBT cohort. Focusing on the stromal component of DCIS from laser capture microdissection in RAHBT samples, we identified four distinct DCIS-associated stromal clusters. A “normal-like” stromal cluster with ECM organization and PI3K-AKT signaling; a “collagen-rich” stromal cluster; a “desmoplastic” stromal cluster with high fibroblast and total myeloid abundance, mostly associated with macrophages and myeloid dendritic cells (mDC); and an “immune-dense” stromal cluster. Further, we compared differentially expressed genes in patients with or without subsequent iBEs within 5 years of diagnosis. Hypothesizing that the resulting 812 DE genes (DESeq2) represent multiple routes to subsequent iBEs, we leveraged NMF to identify paths to progression. In both TBCRC and RAHBT cohorts, poor outcome groups exhibited increased ER, MYC signaling, and oxidative phosphorylation, supporting that these pathways are important for DCIS recurrence and progression. Conclusion. Comprehensive genomic profiling in two independent DCIS cohorts with longitudinal outcomes shows distinct DCIS stromal expression patterns and immune cell composition. RNA expression profiles reveal underlying tumor biology that is associated with later iBEs in both cohorts. These studies provide new insight into DCIS biology and will guide the design of diagnostic strategies to prevent invasive progression. Citation Format: Siri H Strand, Belén Rivero-Gutiérrez, Kathleen E Houlahan, Jose A Seoane, Lorraine M King, Tyler Risom, Lunden Simpson, Sujay Vennam, Aziz Khan, Timothy Hardman, Bryan E Harmon, Fergus J Couch, Kristalyn Gallagher, Mark Kilgore, Shi Wei, Angela DeMichele, Tari King, Priscilla F McAuliffe, Julie Nangia, Joanna Lee, Jennifer Tseng, Anna Maria Storniolo, Alastair Thompson, Gaorav Gupta, Robyn Burns, Deborah J Veis, Katherine DeSchryver, Chunfang Zhu, Magdalena Matusiak, Jason Wang, Shirley X Zhu, Jen Tappenden, Daisy Yi Ding, Dadong Zhang, Jingqin Luo, Shu Jiang, Sushama Varma, Cody Straub, Sucheta Srivastava, Christina Curtis, Rob Tibshirani, Robert Michael Angelo, Allison Hall, Kouros Owzar, Kornelia Polyak, Carlo Maley, Jeffrey R Marks, Graham A Colditz, E Shelley Hwang, Robert B West. The Breast PreCancer Atlas DCIS genomic signatures define biology and correlate with clinical outcomes: An analysis of TBCRC 038 and RAHBT cohorts [abstract]. In: Proceedings of the 2021 San Antonio Breast Cancer Symposium; 2021 Dec 7-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2022;82(4 Suppl):Abstract nr GS4-07.

Objective “Pain interference” and “headache impact” refer to negative consequences that pain and headache have on one’s life. This study investigated determinants of these negative impacts in a large patient cohort who have chronic migraine with medication overuse. Methods Six hundred and eleven adults were enrolled from 34 headache, neurology, and primary care clinics. Negative consequences of chronic migraine with medication overuse were determined using the Patient-Reported Outcomes Measurement Information System (PROMIS) Pain Interference 6b questionnaire and the Headache Impact Test 6. Relationships between PROMIS-6b and Headache Impact Test 6 scores with demographics, headache characteristics, medication use, anxiety symptoms, and depression symptoms were assessed with linear regression. Elastic Net regression was used to develop a multiple regression model. Results PROMIS-6b T-Scores averaged 65.2 (SD 5.4) and Headache Impact Test 6 scores averaged 65.0 (SD 5.3), indicating severe negative consequences of chronic migraine with medication overuse. Chronic migraine with medication overuse interfered with enjoyment of life, concentration, daily activities, doing tasks away from home, and socializing. Depression symptom severity had the strongest relationship with pain interference and headache impact. Moderate-to-severe headache frequency, headache intensity, and anxiety symptoms were also associated with pain interference and headache impact. Conclusions Chronic migraine with medication overuse is associated with substantial negative consequences, the extent of which is most strongly related to depression symptoms.

Abstract Objective To describe headache characteristics, medication use, disability, and quality of life in a large patient cohort from the United States who have chronic migraine (CM) and medication overuse headache (MOH). Methods In all, 610 adult patients were enrolled into the Medication Overuse Treatment Strategy trial from 34 healthcare clinics, including headache specialty, general neurology, and primary care clinics. Descriptive statistics characterize baseline demographics, headache characteristics, medication use, disability (Headache Impact Test 6 [HIT‐6] and Migraine Functional Impact Questionnaire [MFIQ]), pain interference (PROMIS Pain Interference), and quality of life (EQ‐5D‐5L). Relationships with headache frequency were assessed. Results Mean age was 45 years (SD 13) and 531/608 (87.3%) were females. Mean headache days per 30 was 24.3 (SD 5.5), including 13.6 (SD 7.1) with moderate to severe headache. Daily headaches were reported by 36.1% (219/607) of patients. Acute headache medications were used on 21.5 (SD 7.5) per 30 days. The most commonly overused medications were simple analgesics (378/607, 62% of patients), combination analgesics (246/607, 41%), and triptans (128/607, 21%). HIT‐6, MFIQ, PROMIS Pain Interference, and EQ‐5D‐5L scores demonstrated substantial negative impact from CM with MOH on patient functioning and quality of life. Higher headache frequency was associated with more moderate–severe headache days, more frequent acute headache medication use, greater headache‐related disability, and lower quality of life. Only 272/606 (44.9%) were taking migraine preventive medication. Conclusions CM with MOH is associated with a large burden on patients in the United States. Higher headache frequency is associated with greater impact on functioning, pain interference, and quality of life.