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Non-Hispanic Black (NHB) and Hispanic patients with acute myeloid leukemia (AML) have higher mortality rates than non-Hispanic White (NHW) patients despite more favorable genetics and younger age. A discrete survival analysis was performed on 822 adult patients with AML from 6 urban cancer centers and revealed inferior survival among NHB (hazard ratio [HR] = 1.59; 95% confidence interval [CI]: 1.15, 2.22) and Hispanic (HR = 1.25; 95% CI: 0.88, 1.79) patients compared with NHW patients. A multilevel analysis of disparities was then conducted to investigate the contribution of neighborhood measures of structural racism on racial/ethnic differences in survival. Census tract disadvantage and affluence scores were individually calculated. Mediation analysis of hazard of leukemia death between groups was examined across 6 composite variables: structural racism (census tract disadvantage, affluence, and segregation), tumor biology (European Leukemia Network risk and secondary leukemia), health care access (insurance and clinical trial enrollment), comorbidities, treatment patterns (induction intensity and transplant utilization), and intensive care unit (ICU) admission during induction chemotherapy. Strikingly, census tract measures accounted for nearly all of the NHB-NHW and Hispanic-NHW disparity in leukemia death. Treatment patterns, including induction intensity and allogeneic transplant, and treatment complications, as assessed by ICU admission during induction chemotherapy, were additional mediators of survival disparities in AML. This is the first study to formally test mediators for observed disparities in AML survival and highlights the need to investigate the mechanisms by which structural racism interacts with known prognostic and treatment factors to influence leukemia outcomes.

Non-secretory multiple myeloma (NSMM) constitutes a distinct entity of multiple myeloma characterized by the absence of detectable monoclonal protein and rarely an absence of free light chains in the serum and urine. Given its rarity, the genomic landscape, clinical course, and prognosis of NSSM are not well characterized. Here, we report a case of a patient with relapsed and refractory NSMM with brain metastasis harboring a TFG-ALK fusion showing a dramatic and durable (over two years) response to commercially available anaplastic lymphoma kinase (ALK) inhibitors. The case emphasizes the beneficial role of molecular profiling in this target-poor disease.

Background Primary CNS lymphoma (PCNSL) is a rare non-Hodgkin lymphoma that is often associated with immunosuppressed states. The Epstein-Barr Virus (EBV) may play a role in tumor pathogenicity in some cases. The objective of this study was to examine the patient characteristics, tumor pathology, and survival outcomes associated with EBV tumor status in patients with PCNSL. Methods This was a retrospective subset analysis from 17 academic medical centers that included 439 patients of ages 60 years and above with PCNSL (David K et al. ASH 2020). The associations between EBV status and clinical or demographical variables were tested by Fisher's exact test, Wilcoxon rank-sum test, or CMH trend test. Kaplan-Meier estimator was used to estimate survival probability. Survival difference between groups was tested by log-rank test for statistical significance. Confidence interval of survival rate was calculated using Greenwood's formula. Results A total of 247 patients with available EBV status were included in this analysis. Median age was 71 (range 60-84) and 44.5% were male. Notably, none of the patients were HIV-positive. Twenty-five patients (10.1%) had EBV positive tumors as detected by EBER (EBV-encoded RNA) in-situ hybridization or LMP1 immunohistochemistry (IHC), 17 of which were solid organ transplant (SOT)-related post-transplant lymphoproliferative disorders (PTLD) and 8 of which were not PTLD. All EBV-positive non-PTLDs were diffuse large B-cell lymphoma. Three (15%) SOT-related PTLDs were EBV-negative. Patient characteristics analyzed included age at diagnosis, sex, ECOG performance status, history of prior or concurrent malignancies, history of solid organ transplant or autoimmune disease, history of allogeneic stem cell transplant, and immunosuppressive treatment. Of these, only a history of solid organ transplant or autoimmune disease (P Tumor characteristics analyzed included expression of C-MYC, BCL2, CD5, cell of origin markers (BCL6, MUM1, CD10), and CD20 through IHC, C-MYC and BCL2 translocation through FISH, histology, and involvement of brain parenchyma, CSF, spinal cord, and eyes. EBV-positive tumors were associated with low C-MYC (p=0.047) and BCL6 (p=0.0006) expression on immunohistochemistry, but not other factors. There were no significant differences in tumor characteristics between those with EBV-positive PTLD and EBV-positive non-PTLD. Among patients with PTLD, 30% (n=6) did not receive primary chemotherapy, and the most common treatment regimens were high-dose methotrexate (HD-MTX) with or without rituximab (n=5) and rituximab alone (n=3). However, there was no significant difference in outcomes among PTLD patients who received chemotherapy or those who did not. Among EBV-positive non-PTLD patients, only 12.5% (n=1) did not receive primary chemotherapy and the most common treatment regimens were methotrexate/rituximab/temozolomide (n=3) and HD-MTX with or without rituximab (n=3). There was no difference in overall or progression free survival between patients with EBV-positive and EBV-negative tumors, or in outcomes among SOT-related PTLD patients regardless of EBV status. However, patients with EBV-positive non-PTLD PCNSL had better overall survival compared to patients with EBV-positive PTLD and EBV-negative tumors (p=0.033, Figure). Conclusions In this large observational study of older patients with PCNSL, the incidence of EBV positive tumors was overall low and was most commonly associated with SOT-related PTLD. Mycophenolate mofetil was the most common immunosuppressive medication. In those without PTLD, there were no patient or tumor factors that were associated with EBV status. Unexpectedly, non-PTLD EBV-positive PCNSL had superior outcomes to EBV-positive PTLD and EBV-negative PCNSL. Future studies of EBV-positive non-PTLDs are warranted to further evaluate the potential impact of EBV latency and the immune response on the tumor microenvironment. Disclosures Reddy: BMS: Consultancy, Research Funding; Celgene: Consultancy; Abbvie: Consultancy; Genentech: Research Funding; KITE Pharma: Consultancy. Bachanova:Karyopharma: Membership on an entity's Board of Directors or advisory committees; Kite: Membership on an entity's Board of Directors or advisory committees; BMS: Research Funding; FATE: Research Funding; Incyte: Research Funding; Gamida Cell: Membership on an entity's Board of Directors or advisory committees, Research Funding. Bond:Seattle Genetics: Honoraria. Goldlust:Tocagen: Membership on an entity's Board of Directors or advisory committees, Other: travel; BMS: Membership on an entity's Board of Directors or advisory committees, Other: travel; WEX: Consultancy, Other: travel; Cortice Bio: Consultancy, Other: travel; Boston Biomedical: Consultancy; COTA: Other; Novocure: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: travel, Research Funding, Speakers Bureau. Spurgeon:Gilead: Research Funding; Genentech: Research Funding; Cardinal Health: Honoraria; Bristol-Myers Squibb: Research Funding; VelosBio: Consultancy, Research Funding; Acerta: Research Funding; Janssen: Consultancy, Research Funding; AstraZeneca: Research Funding; Pharmacyclics: Consultancy; Beigene: Research Funding; Verastem: Research Funding; Genmab: Research Funding. Epperla:Verastem Oncology: Speakers Bureau; Pharmacyclics: Honoraria. Karmali:AstraZeneca: Speakers Bureau; Karyopharm: Honoraria; Takeda: Research Funding; BeiGene: Speakers Bureau; Gilead/Kite: Honoraria, Other, Research Funding, Speakers Bureau; BMS/Celgene/Juno: Honoraria, Other, Research Funding, Speakers Bureau. Naik:Celgene: Other: advisory board; Sanofi: Other: advisory board. Smith:Janssen: Consultancy; Celgene: Consultancy, Research Funding; Karyopharm: Consultancy, Research Funding; BMS: Consultancy; FortySeven: Research Funding; Pharmacyclics: Research Funding; Acerta: Research Funding; Genentech/Roche: Consultancy, Other: Support of parent study and funding of editorial support, Research Funding; TG Therapeutics: Consultancy, Research Funding. Rubenstein:Kymera: Research Funding. Kahl:BeiGene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; AstraZeneca Pharmaceuticals LP: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene Corporation: Consultancy; AbbVie: Consultancy; Genentech: Consultancy; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Acerta: Consultancy, Research Funding; ADC Therapeutics: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Roche Laboratories Inc: Consultancy; Pharmacyclics LLC: Consultancy. Evens:Abbvie: Consultancy, Honoraria; Research To Practice: Honoraria, Speakers Bureau; MorphoSys: Consultancy, Honoraria; Novartis: Consultancy, Honoraria; Pharmacyclics: Consultancy, Honoraria; Merck: Consultancy, Honoraria, Research Funding; Epizyme: Consultancy, Honoraria, Research Funding; Mylteni: Consultancy, Honoraria; Seattle Genetics: Consultancy, Honoraria, Research Funding. Martin:Kite: Consultancy; Morphosys: Consultancy; Regeneron: Consultancy; Incyte: Consultancy; Cellectar: Consultancy; Beigene: Consultancy; Bayer: Consultancy; I-MAB: Consultancy; Sandoz: Consultancy; Janssen: Consultancy; Karyopharm: Consultancy, Research Funding; Teneobio: Consultancy; Celgene: Consultancy.

Introduction: Treatment of older patients (pts) with PCNSL is challenging due to the prevalence of comorbidities, frailty, and complexities with delivery of chemotherapy (CT). The optimal induction CT and consolidation regimens for older PCNSL pts is unknown. Moreover, there are few large scale prognostication studies available, including analysis of geriatric assessments (GA). We analyzed detailed characteristics, treatment patterns and outcomes with prognostication across 17 academic centers. Methods: We conducted a large, RW retrospective study of newly diagnosed PCNSL pts (1/2008-1/2019) ages ≥ 60 years (yrs). Survival rates were estimated by Kaplan-Meier with differences assessed by log rank test. We detailed Cumulative Index Rating Scale-Geriatric (CIRS-G) scores & other GAs. Univariate associations were derived via Cox model with variables p Results: Among 491 initial cases, n=450 cases were verified for diagnosis & follow-up. Clinical features included: median age 71 yrs (60-88); male 47%; elevated LDH 30%; creatinine clearance 1 site). Cerebral involvement predominated in 75% with deep structure involvement in 20% & cerebellum in 5%. CSF involvement was documented in 13% of pts (unchecked in 26%). For GA at diagnosis, the median CIRS-G score was 6 (range 0-27) and impaired self-care activities of daily living (ADLs) were noted in 36%. Furthermore, geriatric syndrome (ie, dementia, delirium, depression, and/or falls) was present in 45% of pts. Induction therapy included CT in 91% of pts (of whom 82% had rituximab (Rtx)) and radiation therapy (RT) in 8%. The most common chemotherapy regimens were: high-dose methotrexate (HD MTX) or HD MTX with Rtx (MR) in 38%; HD MTX/procarbazine/vincristine (MPV) +/- Rtx 30%; HD MTX/temozolomide/Rtx (MTR) 22%; Rtx alone 2%; and HD MTX/cytarabine/thiotepa/Rtx (MATRIX) in 2%. Median MTX dosing for all pts was 3.5 g/m2 (range 1-8 g/m2), and by 3 most common regimens (all g/m2): MTR 5.1; MR 5.4; MPV 3.1 (P With 42 month median follow-up (1-125), 3-yr PFS & OS for all pts were 38% & 52%, respectively (Fig 1A/1B). On MVA, factors associated with inferior PFS were: advancing age (continuous HR 1.05, P Conclusions: Older pts with PCNSL have suboptimal outcomes, with 2/3 progressing in the first several years. GA is an important prognostic tool, and could be used to stratify pts in future investigations. In addition, use of Rtx, increasing MTX dose, and the MTR regimen were associated with improved outcomes. Disclosures Reddy: Genentech: Research Funding; Abbvie: Consultancy; KITE Pharma: Consultancy; Celgene: Consultancy; BMS: Consultancy, Research Funding. Bachanova:Gamida Cell: Membership on an entity's Board of Directors or advisory committees, Research Funding; Karyopharma: Membership on an entity's Board of Directors or advisory committees; Kite: Membership on an entity's Board of Directors or advisory committees; FATE: Research Funding; BMS: Research Funding; Incyte: Research Funding. Bond:Seattle Genetics: Honoraria. Goldlust:COTA: Other; BMS: Membership on an entity's Board of Directors or advisory committees, Other: travel; Tocagen: Membership on an entity's Board of Directors or advisory committees, Other: travel; Novocure: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other: travel, Research Funding, Speakers Bureau; Boston Biomedical: Consultancy; Cortice Bio: Consultancy, Other: travel; WEX: Consultancy, Other: travel. Spurgeon:Beigene: Research Funding; Janssen: Consultancy, Research Funding; Pharmacyclics: Consultancy; Bristol-Myers Squibb: Research Funding; Genentech: Research Funding; Gilead: Research Funding; Acerta: Research Funding; AstraZeneca: Research Funding; Genmab: Research Funding; VelosBio: Consultancy, Research Funding; Cardinal Health: Honoraria; Verastem: Research Funding. Epperla:Verastem Oncology: Speakers Bureau; Pharmacyclics: Honoraria. Karmali:Takeda: Research Funding; Karyopharm: Honoraria; AstraZeneca: Speakers Bureau; BeiGene: Speakers Bureau; BMS/Celgene/Juno: Honoraria, Other, Research Funding, Speakers Bureau; Gilead/Kite: Honoraria, Other, Research Funding, Speakers Bureau. Naik:Celgene: Other: advisory board; Sanofi: Other: advisory board. Martin:Celgene: Consultancy; Bayer: Consultancy; Janssen: Consultancy; Sandoz: Consultancy; I-MAB: Consultancy; Teneobio: Consultancy; Beigene: Consultancy; Cellectar: Consultancy; Incyte: Consultancy; Kite: Consultancy; Morphosys: Consultancy; Karyopharm: Consultancy, Research Funding; Regeneron: Consultancy. Smith:Genentech/Roche: Consultancy, Other: Support of parent study and funding of editorial support, Research Funding; TG Therapeutics: Consultancy, Research Funding; FortySeven: Research Funding; Karyopharm: Consultancy, Research Funding; Pharmacyclics: Research Funding; BMS: Consultancy; Janssen: Consultancy; Celgene: Consultancy, Research Funding; Acerta: Research Funding. Rubenstein:Kymera: Research Funding. Kahl:ADC Therapeutics: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; AbbVie: Consultancy; Celgene Corporation: Consultancy; AstraZeneca Pharmaceuticals LP: Consultancy, Membership on an entity's Board of Directors or advisory committees; Genentech: Consultancy; Pharmacyclics LLC: Consultancy; Roche Laboratories Inc: Consultancy; BeiGene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Acerta: Consultancy, Research Funding. Evens:Merck: Consultancy, Honoraria, Research Funding; Research To Practice: Honoraria, Speakers Bureau; Seattle Genetics: Consultancy, Honoraria, Research Funding; Pharmacyclics: Consultancy, Honoraria; Abbvie: Consultancy, Honoraria; Epizyme: Consultancy, Honoraria, Research Funding; MorphoSys: Consultancy, Honoraria; Novartis: Consultancy, Honoraria; Mylteni: Consultancy, Honoraria.

Background The Coronavirus disease-2019 (COVID-19) is a global pandemic. Acute respiratory compromise and systemic coagulopathy cause significant morbidity and mortality. Venous thromboembolism (VTE), which encompasses both deep vein thrombosis (DVT) and pulmonary embolism (PE), as well as arterial thromboembolism (ATE), which includes stroke, are common sequelae described in this patient population. COVID-19 coagulopathy is attributed to severe inflammation and endothelial dysfunction resulting in a prothrombotic state. COVID-19 related treatment has focused on targeting the unregulated inflammatory state in an attempt to decrease incidence of COVID-19 related complications, such as thrombosis. Prophylactic anticoagulation is recommended, and many suggest intermediate to therapeutic anticoagulation in severe COVID-19. However, there is no clear data showing impact of anticoagulation on morbidity and mortality in patients with COVID-19. Methods A retrospective analysis was performed on all COVID-19 patients hospitalized between March 2020 and June 2020 at our institution. Patient charts were individually reviewed to ensure accuracy of data. Thromboembolic events (VTE or ATE) verified by imaging were included in the analysis. The impact of COVID-19 specific treatments such as Remdesivir, Tocilizumab, Hydroxychloroquine, and steroids on incidence of thrombosis was analyzed by using X2 testing. Using logistics regression, we analyzed the effect of prophylactic versus therapeutic anticoagulation received before development of thrombosis on mortality. Results Out of 1265 COVID-19 positive hospitalized patients during our time frame, 138 (10.9%) had thromboembolism. Incidence of 6.3% VTE, 5.6% DVT, 4.8% PE in COVID-19 patients was significantly higher than 0.24% VTE, 0.15% DVT, 0.12% PE in non COVID-19 hospitalized patients as reported by CDC (p Conclusion In Our study the incidence of thrombosis in hospitalized COVID-19 patients was significantly higher than non-COVID-19 hospitalized patients. COVID-19 patients with thrombosis had higher mortality compared to COVID-19 patient without thrombosis, particularly patients with PE. Hispanic patients with COVID-19 and thrombosis experienced a higher mortality rate compared to non-Hispanic patients. The lowest incidence of thrombosis occurred in COVID-19 patients who received steroids, followed by Tocilizumab suggesting that steroids and Tocilizumab may reduce the pro-inflammatory state leading to thrombosis. However, mortality rate was higher in patients who received COVID-19 related treatment, suggesting that these patients likely had severe disease. There was no mortality difference in patients who received prophylactic versus therapeutic anticoagulation prior to thrombosis. Randomized control trials will address the impact of anticoagulation dosing on morbidity and mortality in COVID-19 patients and study the post discharge prophylaxis and long-term outcomes in these patients. Disclosures No relevant conflicts of interest to declare.

Introduction: Initial studies from Wuhan, China reported patients infected with SARS-CoV-2 have uncontrolled coagulopathy and an increased risk for thrombotic complications, including pulmonary embolism (PE), deep vein thrombosis (DVT), and arterial thrombosis.1 The incidence of thrombosis attributed to coronavirus disease 2019 (COVID-19) ranged from 9.5% in all hospital-admitted patients to 31% in the critically ill.2,3 COVID-19 has had a major impact on the Chicago metropolitan area with over 121,000 confirmed cases as of August 2020, Cook county being the 4th highest affected county after Maricopa, Miami-Dade and Los Angeles counties.4 The primary goal of this study is to describe the rate of thrombotic events in the Chicago metropolitan area, highlighting an ethnically diverse population, and identify new risk factors for thrombosis between three university health systems. Methods: We conducted a retrospective analysis between three university health systems in the Chicago metropolitan area: Loyola University Health System (LUHS): comprised of one tertiary and two community hospitals, Rush University System for Health (RUSH): comprised of one tertiary and two community hospitals, and University of Illinois-Chicago (UIC): a tertiary hospital. All patients had positive SARS-CoV-2 testing and were hospitalized for COVID-19. PE, DVT or arterial thrombosis were confirmed by supportive imaging modalities. Wilcoxon rank sum test were used to test the associations of continuous variables; Chi-square test or Fisher's exact test were used to test the associations of categorical variables. All analyses were performed with SAS 9.4 and two-sided p-value < .05 were deemed statistically significant. Results: Between March and May 2020, 2,180 patients from LUHS, RUSH and UIC were hospitalized for COVID-19 and were included in our analysis. Baseline patient demographics are described in Table 1. Race/ethnicity demographics are as follows: Hispanics (H)/ African Americans (AA) represented 47%/17% of LUHS patients, 32%/42% of RUSH patients, and 36%/51% of UIC patients, respectively (Figure 1). Intensive care admissions were needed in 33% of all patients. Documented total thrombotic events are as follows: LUHS = 5.4% (41 VTE/PE, 10 arterial and 5 with both venous and arterial); RUSH = 9.7% (70 VTE/PE, 7 arterial and 4 with both venous/arterial); UIC = 6% (14 VTE/PE, 4 arterial and 0 with both venous/arterial). Patients that developed a thrombotic event were similar by age, sex, and BMI to those without a thrombotic event. Anticoagulation prophylaxis was given to 82% of pts at LUHS and UIC at time of admission. Collectively, those with thrombotic events (N=156) had higher incidence of intensive care admission, elevated white blood cell (WBC) count and a d-dimer >5X upper limit normal (ULN) at presentation. Furthermore, a higher proportion of pts that had a thrombotic event were diabetic at LUHS and RUSH (Table 2). Mortality in COVID-19 patients was 13-16% and patients that had a thrombotic event had a higher risk of death in the RUSH and UIC cohorts. Conclusions: In a racially diverse, multi-institutional cohort of patients, we demonstrate that 7.2% of COVID-19 patients had a thrombotic event. Consistent risk factors for thrombosis across the different centers included an initial d-dimer levels >5X ULN, elevated initial WBC count, diabetes, and being critically ill. Mortality differences and anticoagulation practices between the institutions as well as race/ethnicity differences regarding thrombosis will be explored in future combined multivariate analyses. Finally, based off these risk factors, identification of patients at most risk for thrombosis is needed to reduce the morbidity and mortality when diagnosed with COVID-19. References -Tang et. al. J Thromb Haemost. 2020;18:844-847. -Klock et. Al. Thrombosis Research 2020;191:145-147. -Al-Samkari H, Laef RS, Dzik WH et. Al. COVID-19 and coagulation: bleeding and thrombotic manifestations of SARS-CoV-2 infection. Blood. 2020;136(4):489-500. -https://www.cdc.gov/coronavirus/2019-ncov/cases-updates/county-map.html; accessed 8/7/20. Disclosures Arain: Astellas: Other: Spouse is employed. Stiff:Macrogenics: Research Funding; Delta-Fly: Research Funding; Unum: Research Funding; Atara: Research Funding; Kite, a Gilead Company: Research Funding; Amgen: Research Funding; Gamida Cell: Research Funding. Saraf:Novartis, Global Blood Therapeutics: Membership on an entity's Board of Directors or advisory committees; Global Blood Therapeutics: Membership on an entity's Board of Directors or advisory committees, Other: Advisory Boards, Speakers Bureau; Pfizer, Global Blood Therapeutics, Novartis: Research Funding.

Background: Non-Hispanic Black (NHB) and Hispanic patients with Acute Myeloid Leukemia (AML) have higher mortality rates than non-Hispanic white (NHW) patients despite lower incidence, more favorable genetics, and a younger age at presentation (Darbinyan, Blood Adv. 2017). We performed a multilevel analysis of disparities in AML patients to investigate the contribution of structural violence, specifically neighborhood SES, on racial/ethnic differences in leukemia-specific survival. Methods: Adult AML (non-APL) patients diagnosed between 2012 and 2018 at six academic cancer centers in the Chicago area were included. Census tract data was collected using the FFIEC Geocoding/Mapping System and computed tract disadvantage and tract affluence scores were categorized into distribution tertiles (low, moderate, high). Time to relapse and death from leukemia were examined, adjusting for age, gender and race/ethnicity (baseline models), and for potential mediators of racial disparities including distal (Charlson Comorbidity Index (CCI), obesity, concentrated disadvantage and affluence, health insurance status), and proximal mediators (somatic mutations, and European Leukemia Network (ELN) prognostic score categories). Results Patient characteristics are shown in Table 1 (n = 822). Significant heterogeneity in age and comorbidities at diagnosis was observed, with Hispanic patients being the youngest and with the lowest CCI. Morbid obesity was more prevalent in NHB and Hispanic (23% and 20%, respectively) compared with NHW (11%) patients. Payer source also differed significantly; private insurance was twice as frequent among NHW than NHB (51% vs. 25%) patients, while the largest uninsured population was Hispanic. ELN adverse risk disease was most prevalent in NHW subjects, NPM1 mutations were least prevalent in Hispanic patients, and p53 mutations more prevalent in NHB (26%) compared to NHW (12%) and Hispanics (9%) although due to low numbers this did not reach significance (p=0.10). NHB and Hispanic patients tended to reside in more disadvantaged and less affluent areas. Treatment data was available for 764 patients (Table 2); 75% received intensive induction therapy and choice of first-line treatment did not differ by race or tract disadvantage. Allogeneic transplant rates however differed by race, age, insurance status, tract disadvantage, and ELN score. Treatment complications of induction chemotherapy, as reflected by ICU admissions during induction, were significantly lower in NHW (25%) compared to NHB (39%) and Hispanic (42%) patients. ICU admission rates were significantly higher in patients with morbid obesity and low tract affluence. Minority (vs. NHW) ethnicity was associated with a 42% increased hazard of death from leukemia (HR=1.42, 95% CI: 1.09, 1.85), and a 36% increased hazard of death from all causes (HR=1.36, 95% CI: 1.07, 1.72), each after controlling for age, gender and study site. Adjustment for continuous tract disadvantage and affluence and their interaction lowered both the hazard of leukemia and all cause death to 1.18 (95% CI: 0.88, 1.60) and 1.14 (95% CI: 0.88, 1.49), respectively. In formal mediation analysis, neighborhood SES accounted for 37% (p=0.09) and 50% (p=0.02) of the racial disparity in death from leukemia and all causes, respectively. Discussion: This study is the first to integrate data at the individual patient level with neighborhood characteristics, using census tract level variables to examine their contribution to AML patient outcomes. To date, formal mediation methods had not been employed to disentangle race/ethnic disparities in adult AML survival. Notably, our mediation analysis shows that census tract level SES explains a substantial proportion of the disparity in hazard of leukemia death. In addition, the observed disparities in treatment complications of induction chemotherapy, as reflected by ICU admissions, and the continued disparity in allogeneic transplant utilization all warrant further study. These results draw attention to the need for deeper investigation into the social and economic barriers to successful treatment outcomes for leukemia patients and represent an important first step toward designing strategies to mitigate these persistent health inequities. Disclosures Altman: Janssen: Consultancy; Syros: Consultancy; Genentech: Research Funding; Novartis: Consultancy; Amphivena: Research Funding; Amgen: Research Funding; Aprea: Research Funding; ImmunoGen: Research Funding; Celgene: Research Funding; Boehringer Ingelheim: Research Funding; Fujifilm: Research Funding; Kartos: Research Funding; AbbVie: Other: advisory board, Research Funding; Kura Oncology: Other: Scientific Advisory Board - no payment accepted, Research Funding; BioSight: Other: No payment but was reimbursed for travel , Research Funding; Daiichi Sankyo: Other: Advisory Board - no payment but was reimbursed for travel; Agios: Other: advisory board, Research Funding; Glycomimetics: Other: Data safety and monitoring committee; Astellas: Other: Advisory Board, Speaker (no payment), Steering Committee (no payment), Research Funding; Theradex: Other: Advisory Board; Immune Pharmaceuticals: Consultancy; Bristol-Myers Squibb: Consultancy; France Foundation: Consultancy; PeerView: Consultancy; PrIME Oncology: Consultancy; ASH: Consultancy; Cancer Expert Now: Consultancy. Stock:Research to Practice: Honoraria; UpToDate: Honoraria; Adaptive Biotechnologies: Consultancy, Membership on an entity's Board of Directors or advisory committees; American Society of Hematology: Honoraria; Leukemia and Lymphoma Society: Research Funding; Novartis: Research Funding; Abbvie: Honoraria, Research Funding; Morphosys: Consultancy, Membership on an entity's Board of Directors or advisory committees; Agios: Consultancy, Membership on an entity's Board of Directors or advisory committees; Kite: Consultancy, Membership on an entity's Board of Directors or advisory committees; Amgen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Jazz Pharmaceuticals: Consultancy, Membership on an entity's Board of Directors or advisory committees; Servier: Consultancy, Membership on an entity's Board of Directors or advisory committees; Pfizer: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Quigley:Alnylam: Speakers Bureau; Agios: Speakers Bureau; Amgen: Other: Advisory board. Khan:Celgene: Consultancy; Incyte: Honoraria; Takeda: Research Funding; Amgen: Consultancy.

Objective To implement a daily rounding tool in a pediatric intensive care unit (PICU) to improve the discussion performance of identified clinical elements. We hypothesized that a semi-structured rounding tool created by a multidisciplinary team would be successfully implemented and sustained in the PICU. Patients and Methods A pre-post interventional study was conducted in a multidisciplinary medical-surgical PICU. Baseline data collection of undisclosed clinical elements was performed by covert observers, which resulted in the development of a comprehensive, nurse-driven rounding checklist. Frequencies of pre- and postintervention metrics were assessed after implementation, and sustainability was assessed at 5 years. Results Six months after implementation, 70% (7/10) of checklist elements demonstrated significant improvement. Five years after implementation, 172 of a possible 222 (74%) checklists were collected. Eighty percentage (8/10) of the measures sustained discussion frequency after 5 years of use. Nursing presence significantly improved at year 5 compared with the preimplementation period. Nursing satisfaction surveys distributed at year 5 showed that the rounding tool was useful and nurses were confident in understanding care plans at the end of rounds. Ninety-eight percentage of checklists revealed discrete transcription of qualitative daily goals. Conclusions A semi-structured rounding tool created by a multidisciplinary team was successfully implemented, and performance was sustained at 5 years. This initiative led to improved bedside nursing presence during patient care rounds.

Background: Non-Hispanic Black (NHB) and Hispanic patients with Acute Myeloid Leukemia (AML) have higher mortality rates than non-Hispanic white (NHW) patients despite a lower incidence of disease, more favorable genetics and younger age at presentation (Patel. AJCO 2015). It is unknown whether these disparities are linked to disease biology or treatment approach. Prior large database analyses have suggested that differences in AML outcomes may be impacted by socioeconomic factors such as insurance status and household income but lack data regarding treatment details including complications and molecular disease features (Bhatt. Blood Advances 2018). We postulate that increased mortality rates for NHB and Hispanic patients with AML are driven by disparities in treatment patterns when adjusted for baseline disease risk. Methods: We have analyzed data collected on consecutive adult patients diagnosed with AML between 2012 and 2018 from 5 academic cancer centers in Chicago surveying different population subsets using an IRB approved protocol. Figure 1 shows insurance status of the patient cohort by zip code. Cox proportional hazards models will be used to estimate multivariable-adjusted hazard ratios for relapse and mortality. Baseline models will be adjusted for age, gender and race/ethnicity to estimate the hazard ratios for the NHB-NHW and Hispanic-NHW disparities in time to relapse and treatment-related or disease-related mortality. Results: At the time of abstract submission 263 subjects were included in the analysis. The study is actively accruing at all 5 institutions with a database goal of 700 patients. There are significant differences in baseline characteristics by race/ethnicity (Table 1). NHB patients are younger, less likely to be married, and less likely to be privately insured than NHW (20% vs >51%). Hispanic patients are younger and more likely to be uninsured than NHW patients (30% vs 6%), likely reflective of County Hospital patients. In this preliminary dataset, clinical trial enrollment rates were similar by race/ethnicity. The distribution of ELN risk groups (Dohner. Blood 2017) and therapy-related AML (t-AML) cases were also similar by race/ethnicity. Eighty percent of patients received intensive induction chemotherapy (Fig 2). Receipt of intensive therapy did not differ by race but was more prevalent in younger patients and uninsured patients (Table 2), likely related to concerns about outpatient medication coverage. Elderly, adverse ELN risk and t-AML patients were less likely to receive intensive chemotherapy, likely due to poorer performance status in the elderly and potential chemo-resistance in p53mut AML. Treatment complications during induction chemotherapy, as captured by ICU admissions, were significantly lower in NHW patients, and significantly increased in morbidly obese patients. Treatment failure, by IWG criteria, did not differ by race but rather was determined by disease specific factors including ELN group, and t-AML. Relapse risk was higher in FLT3-ITD mutant cases. Allogeneic transplant rates did not differ significantly by race but were higher in adverse ELN groups and in privately insured patients. Two-year survival was affected by individual and disease specific factors including age, Medicare enrollment, t-AML and ELN risk group. Discussion: Our current dataset (n = 263) highlights disparities in treatment approaches in patients with AML. These include i) the preferential utilization of intensive induction chemotherapy in younger patients and those lacking high risk molecular features, and ii), the influence of payer status and molecular risk on utilization of allogeneic stem cell transplant in first remission. Treatment outcomes in AML were also impacted by patient age, morbid obesity, marital status, and payer source in addition to known prognostic disease-specific factors (ELN risk group and t-AML). This large multi-institutional study has advantages over population-based registries (SEER, NCDB) through incorporation of molecular characteristics, treatment responses and tolerability data not available in public datasets, which can provide insight into biologic intermediates contributing to disparities. Ongoing analyses will examine how variables such as the comorbidity index and measures of socioeconomic status interact with molecular risk factors to determine outcomes in this diverse patient population. Disclosures Stock: Research to Practice: Honoraria; Kite, a Gilead Company: Membership on an entity's Board of Directors or advisory committees; Pfizer: Membership on an entity's Board of Directors or advisory committees; Daiichi: Membership on an entity's Board of Directors or advisory committees; Astellas: Membership on an entity's Board of Directors or advisory committees; Agios: Membership on an entity's Board of Directors or advisory committees; UpToDate: Honoraria. Galvin:Incyte: Consultancy. Altman:prIME Oncology: Speakers Bureau; PeerView: Speakers Bureau; Theradex: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Glycomimetics: Consultancy, Honoraria, Other: Data Safety and Monitoring Committee; Daiichi Sankyo: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Cancer Expert Now: Consultancy; Agios: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Novartis: Consultancy; France Foundation: Speakers Bureau; Abbvie: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Biosight: Other: US Lead. Quigley:Alexion: Membership on an entity's Board of Directors or advisory committees; Alnylam: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees; Celgene: Membership on an entity's Board of Directors or advisory committees; Dova Pharmaceuticals: Membership on an entity's Board of Directors or advisory committees; Janssen: Membership on an entity's Board of Directors or advisory committees; TEVA: Research Funding. Khan:Amgen: Consultancy; Celgene: Consultancy; Incyte: Honoraria; Pfizer: Consultancy; Takeda: Research Funding.