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Background: Plasmablastic lymphoma (PBL) is a rare subtype of Non-Hodgkin Lymphoma with a well-known association with HIV infection. The outcomes of PBL patients are typically described with high relapse rates and poor prognosis. (Loghavi S, J Hematol Oncol. 2015; Morscio J, Am J of Pathol. 2014; Castillo JJ, Clin Lymphoma Myeloma Leuk. 2011; Castillo JJ, Am J Hematol. 2008) There has been a paucity of data suggesting that limited stage disease (Ann Arbor stage I-II) may have a more favorable prognosis. However, due to the rarity of this disease there have been no large-scale reviews to confirm this. Thus, many patients with limited stage disease are subject to the aggressive therapy recommendations based on the poor outcomes of PBL patients as a whole. (Loghavi S, J Hematol Oncol. 2015; NCCN Guidelines, version 2.2020; Al-Malki MM, BBMT. 2014) We attempted to determine the treatment patterns and outcomes of patients with limited stage PBL. Methods: We conducted a multi-center (13 US academic centers) retrospective study of patients with limited stage (Ann Arbor stage I-II) Plasmablastic lymphoma. Determination of limited stage and diagnosis of PBL was determined by the investigators at each individual center. Patients diagnosed between 1/1/1990 and 6/1/2018 were included. Baseline demographic, clinical, laboratory, pathology, and outcomes data were extracted by retrospective chart review. Kaplan Meier was utilized for time to event analysis. Results: Baseline characteristics are included in table 1. A total of 80 patients were identified with limited stage disease. With a median follow up of 34 months the 3-yr Progression free survival (PFS) and overall survival (OS) was 71.9% and 78.7% respectively (Figure 1A and 1B). Patients that received frontline chemotherapy with (n=29) and without RT (n=36) had a 3-yr PFS and OS of 84.6% and 96.2% as compared to 64.5% and 70.8%, respectively (Figure 2A and 2B; Figure 3A and 3B). The Hazard ratio (HR) for PFS and OS for chemo (reference) vs chemo-RT was 0.47 (95% CI 0.18-1.3; P=0.131) and 0.18 (95% CI 0.04-0.84; p=0.029) respectively. The HR for PFS and OS for CHOP (n=14, reference) vs EPOCH (n=33) based regimens was 0.37 (95% CI 0.11-1.2; p=0.106) and 0.36 (95% CI 0.079-1.6; p=0.182) respectively. Patients with stage I/IE disease (n=56) had a 3-yr PFS and OS of 73.1% and 81.2% respectively. Patients with stage II/IIE disease (n=24) had a 3-yr PFS and OS of 69.3% and 73.4% respectively. Patients that received aggressive treatment (n=17) with Hyper-CVAD based regimens and/or Auto-SCT as consolidation had a 3-yr PFS and OS of 63.6% and 72.7% respectively. Patients with concomitant HIV (n=16) had a 3-yr PFS and OS of 80.8% and 77.4% respectively. Seven patients received RT alone and 6 patients had surgical resection alone as frontline therapy; 1 patient received no therapy; 1 patient received HAART therapy only and remains in CR without any other treatment for PBL 29 months after diagnosis. There were 8 deaths (10%) related to PBL, 3 deaths (4%) related to treatment of PBL (2 during frontline chemo and 1 upon relapse with salvage chemo), and 9 deaths (11%) related to other causes. The 3-yr lymphoma free survival (LFS) of the entire cohort, pts receiving chemo alone, and pts receiving chemo-RT (without including treatment related mortality (TRM) as an event) was 89.1%, 85.2%, and 100% respectively. The 3-yr LFS survival of the entire cohort, pts receiving chemo alone, and pts receiving chemo-RT (including TRM as an event) was 85.1%, 80.0%, and 96.2% respectively. Discussion: Here we report the largest review to our knowledge of limited stage PBL. Outcomes appear to be excellent with 3-yr PFS and OS of 71.9% and 78.7% respectively and a 3-yr LFS of 89.1% (85.1% when attributing TRM as an event). There was no obvious benefit to receiving aggressive therapy with H-CVAD based regimens and/or Auto-SCT. Although this is a small, uncontrolled sample size the HR for OS was improved in patients receiving frontline chemo-RT vs chemo alone 0.18 (95% CI 0.04-0.84; p=0.029). However, this did not take into account TRM with or progression while receiving frontline chemotherapy. Patients who were HIV+ had similar PFS and OS outcomes compared to the entire cohort. This retrospective study clearly demonstrates the favorable outcomes in this patient population, especially in those able to receive definitive therapy for their disease. Disclosures Hess: ADC Therapeutics: Consultancy, Membership on an entity's Board of Directors or advisory committees; BMS, AstraZeneca: Membership on an entity's Board of Directors or advisory committees, Speakers Bureau. Patel:Takeda: Consultancy, Research Funding; Precision Biosciences: Research Funding; Nektar: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Bristol Myers Squibb: Consultancy, Research Funding; Poseida: Research Funding; Cellectis: Research Funding; Oncopeptides: Consultancy; Janssen: Consultancy, Research Funding. Nowakowski:Nanostrings: Research Funding; Seattle Genetics: Consultancy; Curis: Consultancy; Ryvu: Consultancy, Membership on an entity's Board of Directors or advisory committees, Other; Kymera: Consultancy; Denovo: Consultancy; Kite: Consultancy; Celgene/BMS: Consultancy, Research Funding; Roche: Consultancy, Research Funding; MorphoSys: Consultancy, Research Funding. Chavez:Bayer: Consultancy; AbbVie: Consultancy; BeiGene: Speakers Bureau; Morphosys: Consultancy, Speakers Bureau; Merck: Research Funding; AstraZeneca: Speakers Bureau; Celgene: Consultancy; Genentech: Speakers Bureau; Epizyme: Speakers Bureau; Gilead: Consultancy; Novartis: Consultancy; Kite, a Gilead Company: Consultancy, Speakers Bureau; Karyopharm: Consultancy; Verastem: Consultancy; Pfizer: Consultancy. Hill:Beigene: Consultancy, Honoraria, Research Funding; Abbvie: Consultancy, Honoraria, Research Funding; Genentech: Consultancy, Honoraria, Research Funding; Takeda: Research Funding; AstraZenica: Consultancy, Honoraria, Research Funding; Kite, a Gilead Company: Consultancy, Honoraria, Research Funding; Novartis: Consultancy, Honoraria; BMS: Consultancy, Honoraria, Research Funding; Celgene: Consultancy, Honoraria, Research Funding; Pharmacyclics: Consultancy, Honoraria, Research Funding; Karyopharm: Consultancy, Honoraria, Research Funding. Maddocks:Pharmacyclics: Consultancy, Honoraria; Morphosys: Consultancy, Honoraria; Celgene: Consultancy, Honoraria; Seattle Genetics: Consultancy, Honoraria; Karyopharm: Consultancy; ADC Therapeutics, AstraZeneca: Consultancy; BMS: Consultancy, Research Funding. Wagner-Johnston:ADC Therapeutics, Regeneron, CALIB-R, Verastem: Membership on an entity's Board of Directors or advisory committees. Kahl:AstraZeneca Pharmaceuticals LP: Consultancy, Membership on an entity's Board of Directors or advisory committees; AbbVie: Consultancy; Pharmacyclics LLC: Consultancy; Genentech: Consultancy; Acerta: Consultancy, Research Funding; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene Corporation: Consultancy; ADC Therapeutics: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; BeiGene: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Roche Laboratories Inc: Consultancy. Alderuccio:ADC Therapeutics: Membership on an entity's Board of Directors or advisory committees; Forma Therapeutics: Other: Family member; Agios Pharmaceuticals: Other: Family member; Oncinfo: Honoraria; Inovio Pharmaceuticals: Other: Family member; Foundation Medicine: Other: Family member; Puma Biotechnology: Other: Family member; OncLive: Honoraria. Lossos:Janssen Biotech: Honoraria; Verastem: Consultancy, Honoraria; Janssen Scientific: Consultancy, Other; Seattle Genetics: Consultancy, Other; Stanford University: Patents & Royalties; NCI: Research Funding. Portell:Bayer: Consultancy; BeiGene: Consultancy, Research Funding; Kite: Consultancy, Research Funding; Acerta/AstraZeneca: Research Funding; Amgen: Consultancy; Janssen: Consultancy; Pharmacyclics: Consultancy; AbbVie: Research Funding; TG Therapeutics: Research Funding; Infinity: Research Funding; Roche/Genentech: Consultancy, Research Funding; Xencor: Research Funding. Landsburg:Celgene: Membership on an entity's Board of Directors or advisory committees; Triphase: Research Funding; Takeda: Research Funding; Curis: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Karyopharm: Membership on an entity's Board of Directors or advisory committees; Morphosys: Membership on an entity's Board of Directors or advisory committees; Seattle Genetics: Speakers Bureau. Castillo:TG Therapeutics: Research Funding; Beigene: Consultancy, Research Funding; Kymera: Consultancy; Janssen: Consultancy, Research Funding; Abbvie: Research Funding; Pharmacyclics: Consultancy, Research Funding.

Introduction: Chimeric antigen receptor (CAR) T cell therapy directed against B-cell maturation antigen (BCMA) has shown promising results for the treatment of relapsed refractory multiple myeloma (RRMM). bb21217 is an anti-BCMA CAR T cell therapy that uses the same CAR molecule as idecabtagene vicleucel (bb2121), but adds the PI3K inhibitor bb007 during ex vivo culture to enrich the drug product (DP) for memory-like T cells, thereby reducing the proportion of highly differentiated or senescent T cells. To investigate whether DP properties correlate with clinical outcomes including duration of response (DOR), we conducted extensive molecular characterization of patient DPs. Methods: CRB-402 (NCT03274219) is an ongoing, multi-center phase 1 dose escalation trial of bb21217 in RRMM patients who received ≥3 prior regimens, including proteasome inhibitor and immunomodulatory agent, or are double-refractory to both classes. In the expansion cohort, patients additionally required prior exposure to an anti-CD38 antibody and were required to be refractory to last line. Planned enrollment is 74 patients, including 50 in the expansion cohort. Patients undergo lymphodepletion with fludarabine (30 mg/m2) and cyclophosphamide (300 mg/m2) daily for 3 days, then receive a single infusion of bb21217 at 150, 300 or 450 x 106 CAR+ T cells. The primary outcome measure is incidence of adverse events (AEs), including dose-limiting toxicities (DLTs). Additional outcome measures include overall response rate and DOR by IMWG Uniform Response Criteria. We profiled DP and apheresis starting material (PBMC) by RNAseq and cyTOF and correlated expression of memory/senescence markers from apheresis to DP with clinical outcomes, including DOR. Results: Asof March 1, 2020, 46 patients (median age 62 [33-74]) received bb21217, 24 in escalation (12 at 150, 6 at 300 and 6 at 450) and 22 in expansion (8 at 300 and 14 at 450); median follow up for all patients is 8.5 (<1-29) months. Patients had a median of 6 (3-17) prior lines of therapy with 26/46 (57%) triple refractory. Cytokine release syndrome (CRS) developed in 31/46 (67%) patients and included one death (14 G1, 15 G2, 1 G3 and 1 G5). Median time to first onset was 3 days (1-20); tocilizumab (18 pts) +/- corticosteroids (6 pts) was used to manage CRS. Ten (22%) patients developed neurotoxicity [5 G1, 2 G2, 2 G3, 1 G4] with median time to first onset of 7 (3-24) days. Response was assessed per investigator for 44 patients with ≥ 2 months of follow up or PD/death within 2 months. Twenty-four (55%) patients had confirmed response per IMWG criteria including 8 (18%) with ≥CR and 13 (30%) with VGPR. Median time to CR was 2.5 (1-24) months. The median DOR was 11.9 (95% CI: 8.1-17.0) months across target dose levels of 150-450 x106 CAR+ T cells. The 450 target dose was selected as the RP2D and dose expansion is ongoing. bb21217 DPs from 44 patients were characterized. Paired analysis of T cells from PBMC and DP showed bb21217 DP is significantly enriched for memory-like T cells (LEF1+, CD27+, CCR7+) and depleted of highly differentiated or senescent CD57+ T cells. Patients with DPs most enriched for early memory markers (LEF1+, CCR7+ and CD27+) and with low expression of effector/exhaustion markers (EOMES+, GZMA+, CD57+) were more likely to have higher peak CAR+ T cell expansion. To evaluate the association of these DP markers with DOR, we split the 24 responders (≥PR) on median marker expression (high vs low) and analyzed DOR in these exploratory subgroups. High CD127 expression, associated with long-lasting memory T cell formation, was positively correlated with DOR, while multiple markers associated with differentiated T cells (e.g. EOMES+, TBET+) were negatively correlated with DOR. Conclusions: The adverse events observed are consistent with known toxicities of CAR T cell therapies. Initial efficacy results with bb21217 are encouraging, with 48% of patients treated across target dose levels of 150-450 obtaining ≥VGPR. The presence of T cell markers associated with memory and the absence of T cells markers associated with differentiation/senescence in DP correlated positively with peak expansion and DOR. These preliminary correlative data support the mechanistic hypothesis that enrichment for memory like T cells in bb21217 DP may result in improved clinical outcomes. Data for approximately 14 additional patients at the 450 target dose will be presented. Disclosures Alsina: Janssen: Honoraria, Speakers Bureau; Celgene: Consultancy, Honoraria; Amgen: Honoraria, Speakers Bureau; BMS: Consultancy, Research Funding. Shah:GSK, Amgen, Indapta Therapeutics, Sanofi, BMS, CareDx, Kite, Karyopharm: Consultancy; BMS, Janssen, Bluebird Bio, Sutro Biopharma, Teneobio, Poseida, Nektar: Research Funding. Raje:Janssen: Consultancy; Celgene: Consultancy; Immuneel: Membership on an entity's Board of Directors or advisory committees; Caribou: Membership on an entity's Board of Directors or advisory committees; Takeda: Consultancy; Astrazeneca: Consultancy; Bluebird, Bio: Consultancy, Research Funding; Karyopharm: Consultancy; BMS: Consultancy; Amgen: Consultancy. Jagannath:Karyopharm: Consultancy, Honoraria; Legend Biotech: Consultancy, Honoraria; Sanofi: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; BMS: Consultancy, Honoraria. Madduri:Janssen: Consultancy; BMS: Consultancy; Takeda: Consultancy; Legend: Consultancy; Sanofi: Consultancy; GSK: Consultancy; Kinevant: Consultancy; Foundation Medicine: Consultancy. Kaufman:Janssen: Consultancy, Honoraria; Karyopharm: Membership on an entity's Board of Directors or advisory committees; Pharmacyclics: Membership on an entity's Board of Directors or advisory committees; Tecnopharma: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; AbbVie: Consultancy; TG Therapeutics: Consultancy, Membership on an entity's Board of Directors or advisory committees; Celgene: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Bristol-Myers Squibb: Consultancy, Honoraria; Incyte: Consultancy, Membership on an entity's Board of Directors or advisory committees; Sanofi/Genyzme: Consultancy, Honoraria. Siegel:Amgen: Consultancy, Honoraria, Speakers Bureau; Merck: Consultancy, Honoraria, Speakers Bureau; Janssen: Consultancy, Honoraria, Speakers Bureau; BMS: Consultancy, Honoraria, Speakers Bureau; Takeda: Consultancy, Honoraria, Speakers Bureau; Karyopharma: Consultancy, Honoraria; Celulatiry: Consultancy. Munshi:BMS: Consultancy; OncoPep: Consultancy, Current equity holder in private company, Membership on an entity's Board of Directors or advisory committees, Patents & Royalties; C4: Current equity holder in private company; Janssen: Consultancy; Adaptive: Consultancy; Legend: Consultancy; Amgen: Consultancy; AbbVie: Consultancy; Karyopharm: Consultancy; Takeda: Consultancy. Lin:Novartis: Consultancy; Celgene: Consultancy, Research Funding; Bluebird Bio: Consultancy, Research Funding; Juno: Consultancy; Legend BioTech: Consultancy; Merck: Research Funding; Takeda: Research Funding; Gamida Cells: Consultancy; Sorrento: Consultancy, Membership on an entity's Board of Directors or advisory committees; Vineti: Consultancy; Janssen: Consultancy, Research Funding; Kite, a Gilead Company: Consultancy, Research Funding. Jakubowiak:AbbVie, Amgen, BMS/Celgene, GSK, Janssen, Karyopharm: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees; Adaptive, Juno: Consultancy, Honoraria. Timm:bluebird bio: Current Employment, Current equity holder in publicly-traded company. Turka:bluebird bio: Current Employment. Mao:bluebird bio: Current Employment, Current equity holder in publicly-traded company. Martin:BMS: Current Employment, Current equity holder in publicly-traded company. Campbell:BMS: Current Employment, Current equity holder in publicly-traded company. Hege:Arcus Biosciences: Divested equity in a private or publicly-traded company in the past 24 months; Mersana Therapeutics: Current equity holder in publicly-traded company, Membership on an entity's Board of Directors or advisory committees; BMS: Current Employment, Current equity holder in publicly-traded company, Other: Travel, accommodations, expenses, Patents & Royalties: Numerous, Research Funding. Bitter:Novartis AG, Predicant Biosciences, Biospect, F Hofmann-La Roche: Ended employment in the past 24 months; bluebird bio: Current Employment, Current equity holder in publicly-traded company; Novartis: Ended employment in the past 24 months, Patents & Royalties. Petrocca:bluebird, bio: Current Employment, Current equity holder in publicly-traded company. Berdeja:Celgene: Consultancy, Research Funding; Cellularity: Research Funding; Constellation: Research Funding; CRISPR Therapeutics: Consultancy, Research Funding; CURIS: Research Funding; EMD Sorono: Research Funding; Takeda: Consultancy, Research Funding; Servier: Consultancy; Teva: Research Funding; Prothena: Consultancy; Poseida: Research Funding; Novartis: Research Funding; Lilly: Research Funding; Legend: Consultancy; Kite Pharma: Consultancy; Kesios: Research Funding; Karyopharm: Consultancy; Janssen: Consultancy, Research Funding; Glenmark: Research Funding; Genentech, Inc.: Research Funding; BMS: Consultancy, Research Funding; Bioclinica: Consultancy; Bluebird: Research Funding; Acetylon: Research Funding; Amgen: Consultancy, Research Funding; Abbvie: Research Funding; Vivolux: Research Funding.

Abstract Background Delirium is underdiagnosed in clinical practice and is not routinely coded for billing. Manual chart review can be used to identify the occurrence of delirium; however, it is labor-intensive and impractical for large-scale studies. Natural language processing (NLP) has the capability to process raw text in electronic health records (EHRs) and determine the meaning of the information. We developed and validated NLP algorithms to automatically identify the occurrence of delirium from EHRs. Methods This study used a randomly selected cohort from the population-based Mayo Clinic Biobank (N = 300, age ≥65). We adopted the standardized evidence-based framework confusion assessment method (CAM) to develop and evaluate NLP algorithms to identify the occurrence of delirium using clinical notes in EHRs. Two NLP algorithms were developed based on CAM criteria: one based on the original CAM (NLP-CAM; delirium vs no delirium) and another based on our modified CAM (NLP-mCAM; definite, possible, and no delirium). The sensitivity, specificity, and accuracy were used for concordance in delirium status between NLP algorithms and manual chart review as the gold standard. The prevalence of delirium cases was examined using International Classification of Diseases, 9th Revision (ICD-9), NLP-CAM, and NLP-mCAM. Results NLP-CAM demonstrated a sensitivity, specificity, and accuracy of 0.919, 1.000, and 0.967, respectively. NLP-mCAM demonstrated sensitivity, specificity, and accuracy of 0.827, 0.913, and 0.827, respectively. The prevalence analysis of delirium showed that the NLP-CAM algorithm identified 12 651 (9.4%) delirium patients, the NLP-mCAM algorithm identified 20 611 (15.3%) definite delirium cases, and 10 762 (8.0%) possible cases. Conclusions NLP algorithms based on the standardized evidence-based CAM framework demonstrated high performance in delineating delirium status in an expeditious and cost-effective manner.

Introduction: Triptans, the most commonly prescribed acute treatments for migraine attacks are, per FDA labeling, contraindicated in cardiovascular (CV) disease patients and have warnings and precautions for those with CV risk factors. Methods: Headache specialists, cardiologists, and health economics and outcomes researchers convened to identify diagnostic codes for: (1) CV diseases contraindicating triptans based on FDA labeling; (2) conditions comprising “other significant underlying CV disease”; and (3) CV risk factors included as warnings and precautions for triptans. A retrospective, cross-sectional analysis of commercially insured adult US migraine patients in the 2017 Optum ® Clinformatics ® Data Mart (CDM) and the 2017 IBM ® Watson Health MarketScan ® Commercial Claims database was used to estimate the proportion of migraine patients with CV contraindications and warnings and precautions to triptans. Results: Of the 56,662 migraine patients analyzed from Optum CDM, 13.5% had ≥1 CV disease as specified in triptan labeling and an additional 8.5% had ≥1 “other CV disease” judged by the panel to constitute a “significant underlying CV disease” (total: 22.0% migraine patients). Of 176 724 migraine patients analyzed from MarketScan, 12.2% had ≥1 CV disease as specified in the labeling and an additional 8.0% had ≥1 “other significant underlying CV disease” (total: 20.2% of migraine patients). An additional 25.4% and 25.1% of migraine patients had ≥2 CV risk factors in Optum CDM and MarketScan. In total, 47.4% and 45.3% of migraine patients in both databases had a CV disease specified as a contraindication, an “other CV disease” endorsed as significant, or ≥2 CV risk factors identified as warnings and precautions to triptans. Conclusions: Analyses of more than 230,000 people with migraine showed that ≥20% of commercially insured US migraine patients have a CV condition that specifically contraindicates triptan treatment, and an additional 25% have ≥2 CV risk factors identified as warnings and precautions to triptans.

The COVID-19 pandemic has presented new challenges in how Primary Care clinicians care for community patients. Our organization quickly allocated 1 of our community clinic sites into a dedicated COVID Clinic caring for the COVID positive or any patient with COVID like symptoms to minimize contact with the well patients. A prerequisite for all patients to be seen in the COVID Care Clinic was a virtual visit staffed with Advanced Practice Providers that would further determine if the patient needed to seek emergency medical care or be seen in the COVID Clinic. From March 23, 2020 through May 15, 2020, 852 patients with COVID symptoms were seen in this clinic rather than the emergency department. This article describes a collaborative effort to care for a community during the COVID-19 pandemic. This unique setting allowed us to focus an appropriate level of care to a high risk population in a safe and effective manner in the ongoing effort to flatten the epidemiological curve.

PolyQ ATXN3 is a pharmacodynamic marker for SCA3, and a SNP associated with the expanded allele may serve to specifically target mutant ATXN3 .

Abstract Buffered lidocaine is a local anesthetic option during percutaneous needle-directed procedures in the breast. At our institution, sodium bicarbonate (the buffer) is dispensed in volumes that frequently lead to medical waste and shortages. In this study, we describe how moving the buffering of lidocaine from the procedure room to our clinical hospital pharmacy results in a reduction in costs and improves satisfaction across the breast radiology department. While cost savings are difficult to tease out in practices that opt for bundled payments, we were able to access pricing and supply data and coordinate with our pharmacy to change our practice. Making these changes saves our practice $26 000 a year and allows us to continue to offer buffered lidocaine even during sodium bicarbonate shortages. This manuscript describes how these changes came about and their economic impact.