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AbstractBackgroundThe U.S. Study to Protect Brain Health Through Lifestyle Intervention to Reduce Risk (U.S. POINTER) is a 2‐year randomized controlled trial to evaluate the effect of lifestyle interventions in older adults (60‐79 years) who are cognitively unimpaired but at increased risk for cognitive decline/dementia due to factors such as cardiovascular disease and family history. The POINTER Imaging ancillary study is collecting PET and MRI data to evaluate neuroimaging biomarkers of AD and cerebrovascular pathophysiology in this at‐risk sample.MethodPOINTER Imaging is actively enrolling 1250 participants, 23% from under‐represented racial/ethnic groups (URG), recruited from five U.S. POINTER clinical sites. Participants have undergone PET imaging with [18F]Florbetaben (FBB) to measure Aβ and [18F]MK‐6240 to measure tau burden, as well as MRI to measure brain morphometry, white matter hyperintensities and cerebral blood flow. FBB and MK‐6240 data were quality checked, pre‐processed, and quantified using previously validated methods. PET images were coregistered to a structural MRI, which was also used to create FreeSurfer‐defined reference regions and regions of interest. We examined PET imaging measures (global Aβ, regional tau) and basic demographic (age, sex, race/ethnicity) characteristics of the sample.Result96 participants (mean age 69.3±5.0) have been enrolled in POINTER Imaging. Of these, 59 (61%) are women and 22 (23%) are URG, which is similar to rates of women (75%) and URG (22%) in the main trial. This dataset is <10% of targeted enrollment, was predominantly recruited from 2/5 clinical sites and may not represent the final imaging cohort. FBB quantification (N=20) revealed a mean cortical summary SUVR of 1.09±0.12 (19.6±18.4 centiloids) (whole cerebellum normalization; previously validated positivity threshold=1.08), and 8/20 (40%) of these participants were Aβ+ (Fig. 1A). MK‐6240 quantification (N=23) showed predominantly no/minimal binding with a few exceptions in medial and lateral temporal lobes (Fig. 1B&C).ConclusionThe POINTER imaging study is meeting the target URG enrollment and representative of the main U.S. POINTER trial. Higher frequency of Aβ positivity than published in population cohorts coupled with greater cardiovascular risk factors among POINTER participants highlights our success in recruiting individuals at increased risk of cognitive decline.

Background Guidelines promote shared decision‐making (SDM) for anticoagulation in patients with atrial fibrillation. We recently showed that adding a within‐encounter SDM tool to usual care (UC) increases patient involvement in decision‐making and clinician satisfaction, without affecting encounter length. We aimed to estimate the extent to which use of an SDM tool changed adherence to the decided care plan and clinical safety end points. Methods and Results We conducted a multicenter, encounter‐level, randomized trial assessing the efficacy of UC with versus without an SDM conversation tool for use during the clinical encounter (Anticoagulation Choice) in patients with nonvalvular atrial fibrillation considering starting or reviewing anticoagulation treatment. We conducted a chart and pharmacy review, blinded to randomization status, at 10 months after enrollment to assess primary adherence (proportion of patients who were prescribed an anticoagulant who filled their first prescription) and secondary adherence (estimated using the proportion of days for which treatment was supplied and filled for direct oral anticoagulant, and as time in therapeutic range for warfarin). We also noted any strokes, transient ischemic attacks, major bleeding, or deaths as safety end points. We enrolled 922 evaluable patient encounters (Anticoagulation Choice=463, and UC=459), of which 814 (88%) had pharmacy and clinical follow‐up. We found no differences between arms in either primary adherence (78% of patients in the SDM arm filled their first prescription versus 81% in UC arm) or secondary adherence to anticoagulation (percentage days covered of the direct oral anticoagulant was 74.1% in SDM versus 71.6% in UC; time in therapeutic range for warfarin was 66.6% in SDM versus 64.4% in UC). Safety outcomes, mostly bleeds, occurred in 13% of participants in the SDM arm and 14% in the UC arm. Conclusions In this large, randomized trial comparing UC with a tool to promote SDM against UC alone, we found no significant differences between arms in primary or secondary adherence to anticoagulation or in clinical safety outcomes. Registration URL: https://www.clinicaltrials.gov ; Unique identifier: clinicaltrials.gov. Identifier: NCT02905032.

Objective: We aimed to discern clinico-demographic predictors of large (≥8) tracheostomy tube size placement, and, secondarily, to assess the effect of large tracheostomy tube size and other parameters on odds of decannulation before hospital discharge. Summary of Background Data: Factors determining choice of tracheostomy tube size are not well-characterized in the current literature, despite evidence linking large tracheostomy tube size with posttracheotomy tracheal stenosis. The effect of tracheostomy tube size on timing of decannulation is also unknown, an important consideration given reported associations between endotracheal tube size and probability of failed extubation. Methods: We collected information pertaining to patients who underwent tracheotomy at 1 of 10 U.S. health care institutions between 2010 and 2019. Tracheostomy tube size was dichotomized (≥8 and <8). Multivariable logistic regression models were fit to identify predictors of (1) large tracheostomy tube size, and (2) decannulation before hospital discharge. Results: The study included 5307 patients, including 2797 (52.7%) in the large tracheostomy cohort. Patient height (odds ratio [OR] = 1.060 per inch; 95% confidence interval [CI] 1.041–1.070) and obesity (1.37; 95% CI 1.1891.579) were associated with greater odds of large tracheostomy tube; otolaryngology performing the tracheotomy was associated with significantly lower odds of large tracheostomy tube (OR = 0.155; 95% CI 0.131–0.184). Large tracheostomy tube size (OR = 1.036; 95% CI 0.885–1.213) did not affect odds of decannulation. Conclusions: Obesity was linked with increased likelihood of large tracheostomy tube size, independent of patient height. Probability of decannulation before hospital discharge is influenced by multiple patient-centric factors, but not by size of tracheostomy tube.

AbstractA 17‐year‐old Caucasian boy presented with progressive left‐sided weakness, transient slurred speech, and skin lesions characterized by 3‐5 mm, pink, asymptomatic papules with white atrophic centers on his central abdomen, back, and lower extremities. Skin biopsy confirmed the diagnosis of malignant atrophic papulosis, a rare vasculopathy that leads to the occlusion of small‐ and medium‐sized arteries. He was treated with cyclophosphamide, eculizumab, treprostinil, pentoxifylline, heparin, and acetylsalicylic acid. Despite the aggressive immunosuppression, humanized monoclonal antibodies, and antiplatelet therapy, he died two months after presentation. We report this case to highlight diagnostic features, as well as to highlight the importance of early diagnosis and treatment.

Abstract To develop an operational definition of and typologies for episodes of lucidity (EL), we conducted a cross-sectional study of former/current family caregivers from UsAgainstAlzheimer’s A_LIST (N = 538). More than 60% of caregivers (n = 294, 62%) reported witnessing EL with their care recipient over the course of their dementia. Most episodes happened in late stages of dementia (71%). Only 10% happened within 7 days before death. The majority of episodes (71%) lasted &lt;30 minutes. About half the episodes were characterized by uncharacteristic speech and communication. Caregivers perceived these experiences positively (M = 4.10; range = 1–5), but also expressed desire to know why/when EL occurs and how to best respond to it. Data will be used to refine definitions and typologies, and then a prospective, demographically diverse survey will be administered to family caregivers to assess predictors of EL, linking EL to caregiver well-being and bereavement response.

The NCCN Guidelines for Squamous Cell Skin Cancer provide recommendations for diagnostic workup, clinical stage, and treatment options for patients with cutaneous squamous cell carcinoma. The NCCN panel meets annually to discuss updates to the guidelines based on comments from panel members and the Institutional Review, as well as submissions from within NCCN and external organizations. These NCCN Guidelines Insights focus on the introduction of a new surgical recommendation terminology (peripheral and deep en face margin assessment), as well as recent updates on topical prophylaxis, immunotherapy for regional and metastatic disease, and radiation therapy.

Abstract Introduction According to population-based Surveillance, Epidemiology and End Results (SEER) cancer registry data, approximately 40% of adolescents and young adults (AYA) with acute lymphoblastic leukemia (ALL) in the United States (U.S.) are Hispanic and 7% are Black and both Hispanic and Black patients have significantly inferior outcomes relative to non-Hispanic Whites (NHW). CALGB 10403, a prospective Phase II clinical trial conducted by the U.S. Intergroup, demonstrated the feasibility of delivering a pediatric-inspired ALL regimen to newly diagnosed AYA ALL patients and found this approach to be superior to historical adult regimens (Stock et al. Blood 2019). In the current analysis, we evaluate enrollment patterns of Hispanic and Black AYAs on CALGB 10403 and compare survival relative to SEER estimates. Methods Demographics on AYAs (18-40 yrs) enrolled on CALGB 10403 (N=295 from 2007-2012) were supplemented with patient-reported education and socioeconomic status (SES) information. Data from the North American Association of Cancer Registries (NAACCR; 2013-2017) were used to evaluate U.S. country-wide ALL incidence (20-49 yrs) overall and among Hispanics, reported per U.S. state. SEER registries (2008-2012) provided racial/ethnic distribution and overall survival (OS) of AYA ALL (15-39 yrs). The distribution of OS was estimated using the Kaplan-Meier method and compared across racial/ethnic groups using log-rank tests. Results Relative to the U.S. AYA ALL population, CALGB 10403 included proportionally fewer Hispanics (41.7% vs. 16.3%, P &lt; 0.001); the distribution of blacks was similar (6.4% vs. 8.5%, P = 0.174). Demographics and ALL characteristics among CALGB 10403 enrollees demonstrated no significant differences in age, sex, cytogenetics, or BMI by race/ethnicity; however, Black AYAs were more likely to have T-ALL, and Hispanic patients were more likely to have Ph-like B-ALL and rearrangements in CRLF2. Hispanic and Black patients reported lower household yearly income, and Black patients had less educational attainment. In order to explore reasons for disproportionately low Hispanic enrollment on CALGB 10403, we calculated the proportion of Hispanic AYAs with ALL relative to the AYA ALL incidence across U.S. states using NAACCR data and compared this with the geographical distribution of CALGB 10403 enrollments. The incidence of AYA ALL across U.S. states is represented in Fig 1A and the proportion of Hispanic AYA ALL patients in Fig 1B. The states with highest proportion of Hispanic patients included CA, TX, and NM, followed by AZ, CO, FL, and NJ. Although CALGB 10403 enrolled patients in 31 U.S. states, the trial did not open in TX or FL. The enrollments numbers were highest across the Mid-Western U.S., with only 47/295 (15.9%) of enrollments coming from the seven states with a high proportion of Hispanic AYA ALL patients (Fig 1C). The 3-yr event-free survival (EFS) and OS for the total CALGB 10403 cohort were 59.1% (53.1%, 65.75%) and 73.5% (68.1%, 79.4%), respectively. Per protocol completion of therapy was highest in Hispanics (75%), relative to Black (64%) and NHW patients (56%), P=0.049. Overall survival among CALGB 10403 participants differed significantly across race/ethnicity (Fig 2), with superior OS experienced by Hispanic patients and inferior OS by Black patients (P= 0.021). These clinical trial results differ from SEER estimates, where both Hispanic and Black patients experience worse OS relative to NHW (Fig 2). Conclusions This in-depth analysis of racial/ethnic enrollments and outcomes on CALGB 10403 uncovered findings that may translate across clinical trials beyond AYA ALL. Importantly, our data suggest that closer matching of trial site selection to geographical racial/ethnic disease incidence may improve minority enrollments on multi-center clinical trials. Relative to NHW, Hispanic patients had superior survival despite having higher rates of Ph-like ALL, indicating that clinical trial participation may mitigate racial/ethnic survival disparities seen in population-based data. Finally, we saw no improvement in trial outcomes among Black AYAs; a deeper understanding of the biological leukemia underpinnings and barriers to successful outcomes would aid future efforts at improving survival across racial/ethnic groups. Figure 1 Figure 1. Disclosures Muffly: Pfizer, Amgen, Jazz, Medexus, Pfizer: Consultancy; Astellas, Jasper, Adaptive, Baxalta: Research Funding; Adaptive: Honoraria, Other: fees for non-CME/CE services: , Research Funding. Advani: Abbvie: Research Funding; Macrogenics: Research Funding; Seattle Genetics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Glycomimetics: Membership on an entity's Board of Directors or advisory committees, Research Funding; Kite Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees, Research Funding; Immunogen: Research Funding; Pfizer: Honoraria, Research Funding; OBI: Research Funding; Amgen: Membership on an entity's Board of Directors or advisory committees, Research Funding. Luger: Syros: Honoraria; Agios: Honoraria; Daiichi Sankyo: Honoraria; Jazz Pharmaceuticals: Honoraria; Brystol Myers Squibb: Honoraria; Acceleron: Honoraria; Astellas: Honoraria; Pfizer: Honoraria; Onconova: Research Funding; Celgene: Research Funding; Biosight: Research Funding; Hoffman LaRoche: Research Funding; Kura: Research Funding. Tallman: NYU Grand Rounds: Honoraria; Syros: Membership on an entity's Board of Directors or advisory committees; Kura: Membership on an entity's Board of Directors or advisory committees; Innate Pharma: Membership on an entity's Board of Directors or advisory committees; Novartis: Membership on an entity's Board of Directors or advisory committees; Biosight: Membership on an entity's Board of Directors or advisory committees; Roche: Membership on an entity's Board of Directors or advisory committees; Jazz Pharma: Membership on an entity's Board of Directors or advisory committees; Oncolyze: Membership on an entity's Board of Directors or advisory committees; KAHR: Membership on an entity's Board of Directors or advisory committees; Orsenix: Membership on an entity's Board of Directors or advisory committees; Daiichi-Sankyo: Membership on an entity's Board of Directors or advisory committees; Abbvie: Membership on an entity's Board of Directors or advisory committees; Amgen: Research Funding; Rafael Pharmaceuticals: Research Funding; Glycomimetics: Research Funding; Biosight: Research Funding; Orsenix: Research Funding; Abbvie: Research Funding; Mayo Clinic: Honoraria; UC DAVIS: Honoraria; Northwell Grand Rounds: Honoraria; NYU Grand Rounds: Honoraria; Danbury Hospital Tumor Board: Honoraria; Acute Leukemia Forum: Honoraria; Miami Leukemia Symposium: Honoraria; New Orleans Cancer Symposium: Honoraria; ASH: Honoraria; NCCN: Honoraria. Litzow: Omeros: Other: Advisory Board; Jazz: Other: Advisory Board; Pluristem: Research Funding; Actinium: Research Funding; Amgen: Research Funding; AbbVie: Research Funding; Astellas: Research Funding; Biosight: Other: Data monitoring committee. Foster: Macrogenics: Research Funding; Rafael Pharmaceuticals: Research Funding; Macrogenics: Consultancy; Daiichi Sankyo: Consultancy; Agios: Consultancy; Bellicum Pharmaceuticals: Research Funding. Larson: Gilead: Research Funding; Epizyme: Consultancy; Astellas: Consultancy, Research Funding; Rafael Pharmaceuticals: Research Funding; CVS/Caremark: Consultancy; Takeda: Research Funding; Novartis: Research Funding; Cellectis: Research Funding.

Abstract Background There has been an increase in overall utilization as well as improvement in overall survival (OS) after hematopoietic cell transplantation (HCT) for most hematologic disorders over time. It is not known if these changes have impacted racial/ethnic minorities equally. In this study, we describe changes in the volume and rate of autologous (auto) and allogeneic (allo) HCT and examine trends in survival in different racial/ethnic groups from 2009 to 2018. Methods Data were obtained from the Center for International Blood and Marrow Transplant Research (CIBMTR) which collects patient data on most autologous and allogeneic HCT recipients in the US. We compared the number of auto and allo transplants in 4 different racial/ethnic groups: Non-Hispanic Whites (NHWs), African Americans (AAs), Hispanics and 'Others' across five 2-year cohorts from 2009 to 2018. 'Others' included Asians, Pacific Islanders and Native Americans as well as non-US residents. Since numbers in individual categories were too low to be meaningful, they were grouped together as 'Others'. Multi race individuals and those with either race or ethnicity missing were excluded. Cox proportional hazards models were used to examine trends in overall mortality after auto HCT in adult patients (for NHL, HD, and MM), and allo HCT among adult and pediatric patients (for AML, ALL, lymphoma including chronic lymphocytic leukemia, and MDS/MPD) in the 4 different racial ethnic groups over 5 study time periods. These models were adjusted for sociodemographic and clinical variables (age, sex, Karnofsky/Lansky score, HCT-comorbidity index, disease, disease status, geographic region, insurance, marital status, education, distance to the transplant center, median income derived from patient's ZIP code). Graft type, donor, conditioning, GVHD prophylaxis, donor-recipient CMV match and donor-recipient sex match were included for allo HCT models. Results A total of 80,080 (59,666 NHWs, 10,683 AAs, 7,110 Hispanics) patients received an auto HCT and 60,412 (44,272 NHWs, 4,964 AAs, 7,826 Hispanics) received an allo HCTs from 2009 to 2018. The volume of auto and allo transplants increased overall, as well as within each race/ethnicity group, over the study periods. In addition, there was a significant change in the proportion of patients in each racial/ethnic group undergoing an auto HCT, with a lower proportion of NHWs and increased proportion of minorities over time (from 78%, 12% and 8% in 2009 -2010 to 71%, 15% and 10% in 2017-2018 for NHWs, AAs and Hispanics respectively; p&lt;0.001). Similar trends were observed for allo HCT: from 76%, 8% and 12% in 2009-2010 to 71%, 9% and 14% in 2017-2018 of all allo HCTs for NHWs, AAs and Hispanics respectively; p&lt;0.001. While there was an increase in the rate of transplants over the years across all racial/ethnic groups, the rate was higher in AAs and Hispanics as compared to NHWs (Table 1). There was no significant difference in overall mortality amongst the three main racial ethnic groups, though there was decrease in mortality over time for auto HCT and adult allo HCT patients. In the allo HCT pediatric group, AAs had higher overall mortality as compared to NHWs across all time periods. (Table 2) Figure 1 shows temporal trends in two-year survival by race and ethnicity. Conclusions This large population-based study shows an improvement in the rates and survival of auto and allo HCT in adults over time. Changes in the proportion of different racial/ethnic groups undergoing HCT are higher than rate of change of population growth (3% decline for NHWs, no change in AAs and 2% increase in Hispanics from 2010 to 2019 per William H. Frey analysis of census population estimates released June 25, 2020). Progress is reflected in higher rates of increase in racial/ ethnic minority groups and comparable survival across the racial ethnic groups in our cohort as compared to two prior registry studies (Baker et al. JCO 2005 and Baker et al. BBMT 2009) for most HCT patients. However, in pediatric patients undergoing allo HCT, the gap in survival between NHWs and AAs has continued to persist over the years. With increasing diversity of the US population, we need to strengthen our efforts for improving access to, and outcomes of HCT to narrow the gap for all patients requiring HCT, irrespective of their sociodemographic characteristics. Figure 1 Figure 1. Disclosures Wood: Koneksa Health: Consultancy, Current equity holder in publicly-traded company; Teladoc: Consultancy; Pfizer: Research Funding. Ailawadhi: Karyopharm: Consultancy; AbbVie: Consultancy; Genentech: Consultancy; Takeda: Consultancy; GSK: Consultancy, Research Funding; Xencor: Research Funding; Cellectar: Research Funding; Medimmune: Research Funding; Ascentage: Research Funding; Pharmacyclics: Consultancy, Research Funding; Amgen: Consultancy, Research Funding; Janssen: Consultancy, Research Funding; Bristol Myers Squibb: Consultancy, Research Funding; BeiGene, Ltd.: Consultancy; Sanofi: Consultancy; Oncopeptides: Consultancy. Saber: Govt. COI: Other.