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Background Teclistamab, the first-in-class B-cell maturation antigen (BCMA) x CD3 bispecific therapy was recently approved by the FDA for the treatment of triple-class exposed relapsed or refractory multiple myeloma (MM) after ≥ 4 prior lines of therapy. Because of the risk of cytokine release syndrome (CRS) and immune effector cell-associated neurotoxicity syndrome (ICANS), the step-up dosing (SUD) of teclistamab is commonly administered in an inpatient setting among early users. Mayo Clinic has a well-established hospital-based outpatient program for novel immunotherapies. Since the FDA approval, teclistamab SUD has been administered as part of this program. Each dose of the SUD is administered in an outpatient setting, and the patient is given a remote monitoring kit to regularly measure vital signs and stay connected with the command center for signs and symptoms of CRS and ICANS throughout the entire SUD period. This study aimed to evaluate early safety outcomes and healthcare resource utilization during SUD in real-world (RW) patients who initiated teclistamab under the outpatient administration model across 3 Mayo Clinic locations (Rochester, MN, Phoenix/Scottsdale, AZ, Jacksonville, FL). Methods This was a retrospective study using Mayo Clinic's electronic medical records from October 26, 2022 to June 12, 2023. Eligible patients were adults diagnosed with MM who had initiated commercial teclistamab at any of the 3 Mayo Clinic locations. Patient characteristics, rates and severity of CRS and ICANS, as well as healthcare resource utilization during SUD were described. Time between teclistamab administration and patient check-out was reported for SUD and treatment doses, respectively. Results At the time of data cutoff, 39 patients received at least 1 teclistamab dose across the 3 locations (median age 67.2 years; male: 74%; White: 87%; non-Hispanic: 92%), including 36 patients who initiated teclistamab SUD directly in an outpatient setting. A total of 8 (21%) patients had MM with high-risk cytogenetics and 14 (36%) had prior exposure to other BCMA-targeted therapies. Prevalent comorbidities prior to receiving teclistamab included anemia (77%), hypertension (56%), lytic bone lesions (51%), neutropenia (49%), and hypogammaglobulinemia (41%). Renal impairment or failure was observed in 31% of the patients (Table 1). Almost all patients received acetaminophen (95%), diphenhydramine (95%), and dexamethasone (92%) as pre-medications on the same day as teclistamab administrations during SUD. Of the teclistamab doses with clinic time data, the majority (62%) of doses during SUD required 30 minutes to 1 hour of clinic time for monitoring between administration and check-out. After SUD, the clinic time for weekly treatment doses decreased to less than 30 minutes for most (79%) doses (Figure 1). In patients who completed SUD by data cutoff (n = 37), most patients (70%) received the SUD on a 3-day dose interval (i.e., day 1, 4, 7). The mean time between the first and third doses was 6.3 days. Among the 37 patients with complete SUD, 12 (32%) developed CRS. The highest CRS grade was grade 1 for 10 patients; 1 patient had a grade 2 CRS, and 1 patient had a grade 4 CRS. The patient with grade 4 CRS concurrently decompensated during a dialysis session and all symptoms were considered for CRS grading. A total of 6 patients had recurrent CRS, including 1 patient with 3 events during SUD. All patients who developed CRS during SUD (n=12) were admitted to the hospital for treatment, with a total of 19 admissions across all patients and a median length of stay of 1.7 days per admission. Among patients who were admitted for CRS (n=12), the majority were treated with acetaminophen (92%), diphenhydramine (83%) and dexamethasone (83%); tocilizumab was given to the 2 patients with CRS grade 2 or higher. Only 1 ICANS event (grade 2) was observed in 1 patient during SUD, after dose 3, and the patient was admitted to the hospital for treatment. Conclusion This study evaluated early RW safety outcomes of teclistamab under an outpatient administration model and found the CRS rate and severity to be comparable with other RW evidence generated from various data sources. Outcomes related to teclistamab SUD from Mayo Clinic supported the safety and feasibility of outpatient administration model as a potential option to reduce healthcare resource utilization and improve treatment experiences.

136 Background: Studies using International Classification of Diseases (ICD) codes have aimed to characterize the safety profile of cancer therapies in the Real-World Data setting, but this approach has limitations including an inability to illustrate patient journey and offer insights into drug-Adverse Event (AE) causality. Using data from a cohort of ~9000 patients treated with immune checkpoint inhibitors (ICI) at Mayo Clinic, we recently demonstrated the feasibility of applying Augmented Curation (AC), a natural language processing (NLP)-based innovation, on unstructured electronic health record (EHR) data to detect and characterize immune related AEs (irAEs). While the ability to identify and extract clinical details from EHRs has been previously demonstrated, our approach focuses on applying these techniques to identify implied textual causality of drug-event pairs. This study aims to build upon our prior findings and compare the accuracy, speed, and resource savings enabled by AC analysis versus manual review of patient notes. Methods: We compared the prevalence of adrenal insufficiency, colitis, and hypophysitis (A.C.H) among ICI patients at Mayo Clinic using ICD codes and AC which leverages SciBERT to perform scientific NLP tasks. AC models trained to identify drug-adverse event relationships were used to assess irAEs and subsequent treatments and demonstrated strong performance with F1 scores of 0.85. Manual curation of relevant clinical data, i.e. medications and adverse events, was employed to create a “gold standard” A.C.H. cohort. Time required for manual review compared to AC was documented for overall comparison. Corticosteroid/immunosuppressant use and ICI discontinuations were used as proxies of severity. Results: In our cohort, 540 unique patients experienced at least one of the A.C.H. irAEs. A.C.H patients were found to receive corticosteroids for their respective irAE 79% of the time and discontinued the ICI due to the irAE 7.7% of the time. 6.1% of Colitis patients were treated with a 2L immunosuppressant. Similar to the previous study, AC showed higher sensitivity, PPV and NPV compared to ICD codes alone within the A.C.H. cohort. Sentence extraction and entity classification using AC models on all 9,000-patients took ~10 minutes, whereas manual review of this cohort would take roughly 9 weeks (~10 minutes per patient). Conclusions: The results from this study reinforce that AC models are a valuable tool to comprehensively extract information and to impute relationships between entities, such as therapies and AEs. The AC models demonstrated better accuracy at a much greater speed compared to manual review of patient EHRs. Leveraging AC models provides the ability to manipulate unstructured clinical text married to structured EHR data at scale while minimizing need for manual curation.

PURPOSE: Median duration of daratumumab (DARA) administration for treatment of multiple myeloma is 3-7 hours for the intravenous formulation (DARA IV) and 3-5 minutes for the subcutaneous formulation (DARA SC). Here, we describe clinical administration characteristics of DARA using a novel method for data extraction from electronic health records. METHODS: Time-based measurements were extracted using a scheduling/pharmacy software program that tracked patient movement through appointments for patients initiating DARA in Mayo Clinic infusion centers from April 5, 2017, to October 14, 2021. Cohorts included patients who received DARA IV or DARA SC, or converted from DARA IV to DARA SC. The DARA SC cohort was further analyzed before (DARA SC initial) and after (DARA SC shortened) a reduction in the postadministration observation time mandated by the treatment plan. Events associated with administration-related reactions (ARRs) were also identified. RESULTS: Median total clinic times were 2.7-3.0 hours shorter for DARA SC versus DARA IV. Median clinic times were highest at dose 1 and decreased with subsequent doses. Median total chair times were 2.7-2.8 hours shorter for DARA SC versus DARA IV. Incidences of ARR-related events with DARA SC were low across doses. CONCLUSION: Reduced clinic times were observed with DARA SC, indicating that use of DARA SC as a treatment option results in time savings that may free clinic resources. Furthermore, novel methods of electronic health record data extraction can provide insights that may help inform clinic resource optimization.

Abstract Introduction: Daratumumab is approved across lines of therapy for multiple myeloma (MM) by subcutaneous administration (DARA SC) or by intravenous administration (DARA IV). In clinical studies, the administration time ranges from 3-5 minutes for DARA SC versus 3-7 hours for DARA IV, and DARA SC is associated with reduced rates of administration-related reactions (ARRs). These characteristics of DARA SC are associated with benefits for clinics in terms of safety and clinic time. We previously reported DARA administration characteristics at Mayo Clinic infusion centers: DARA SC had shorter total clinic and total chair times compared with DARA IV, and DARA SC was associated with very low rates of ARR-related events (Soefje S, et al. EHA Library. 2021). Based upon this analysis, the treatment plan was modified to reduce the mandated observation time for DARA SC to improve clinic efficiency. Here, we describe updated clinical administration characteristics for DARA SC at Mayo Clinic infusion centers before and after the reduction in procedure-mandated observation time, versus DARA IV, using a novel empirical data extraction approach from Electronic Health Records (EHR). Methods: Patients ≥18 years of age with an ICD-9/10 diagnosis code of MM and a first DARA treatment between April 5, 2017 and June 22, 2021 were identified in Mayo Clinic's EHR database. Data were extracted using a scheduling and pharmacy software that tracked patient movement through appointments at a Mayo Clinic infusion center. On May 3, 2021, the Mayo treatment plan was amended to shorten the mandated post-administration observation time for DARA SC from 4 to 2 hours for Dose 1 and from 1 hour to 30 minutes for Doses 2 and 3, with no mandated observation time for Doses 4+. In this analysis, data were captured for patients initiating DARA IV throughout the defined treatment window. For DARA SC, data were captured for patients starting DARA SC therapy on the initial treatment plan (before May 3, 2021; DARA SC initial) and after the change to shorten the mandated post-administration observation time for DARA SC (after May 3, 2021; DARA SC shortened). Time-based measures included: total clinic time (check-in time through patient check-out); total chair time (time from infusion room entry to infusion room exit or check-out time, including order review, pharmacy preparation time, and post-administration observation time); and observation time (time from the end of medication administration to infusion room exit or patient check-out). The medication administration time documented for DARA SC was 0 minutes due to the default duration for SC injections in the EHR. Results: In total, 755 (DARA IV, n=586; DARA SC initial, n=145; DARA SC shortened, n=24) patients received DARA treatment for MM. For all doses combined, the median total clinic time was 2.9 hours shorter for DARA SC compared with DARA IV (DARA IV, 4.9 hrs; DARA SC initial, 2.0 hrs). The median total clinic time for DARA SC and DARA IV was highest at Dose 1 (DARA IV, 9.5 hrs; DARA SC initial, 6.1 hrs; DARA SC shortened, 4.4 hrs) and lower for subsequent doses (Dose 4+: DARA IV, 4.6 hrs; DARA SC initial, 1.7 hrs; DARA SC shortened, 1.6 hrs; Figure). Similarly, the median total chair time was 2.7 hours shorter in the DARA SC group compared with the DARA IV group for all doses combined (DARA IV, 4.1 hrs; DARA SC initial, 1.4 hrs). The median total chair time for DARA SC and DARA IV was highest at Dose 1 (DARA IV, 8.8 hrs; DARA SC initial, 5.6 hrs; DARA SC shortened, 3.9) and lower for subsequent doses (Dose 4+: DARA IV, 3.7 hrs; DARA SC initial, 1.1 hrs; DARA SC shortened, 1.1 hrs). Conclusion: Marked reductions in the amount of time spent both in clinic and in chair were observed with DARA SC compared with DARA IV, with additional time savings observed following the Mayo procedure change to reduce the DARA SC mandated observation time. These favorable DARA SC administration characteristics may indicate a reduction in the burden on both clinical resources and patients in Mayo Clinic infusion centers. These results add to the growing body of evidence supporting the use of DARA SC as an efficient and convenient treatment administration option for patients with MM. Figure 1 Figure 1. Disclosures Soefje: Beigene: Consultancy; Pfizer: Speakers Bureau; Janssen: Consultancy, Research Funding. Carpenter: nference Inc.: Current Employment; Janssen: Consultancy. Carlson: nference Inc.: Current Employment; Janssen: Consultancy. Awasthi: nference Inc.: Current Employment, Current holder of individual stocks in a privately-held company; Janssen: Consultancy. Lin: Janssen: Current Employment. Kaila: Janssen Scientific Affairs, LLC: Current Employment. Kayal: nference Inc.: Current Employment; Janssen: Consultancy. Kirkup: nference Inc.: Current holder of individual stocks in a privately-held company, Ended employment in the past 24 months; Path AI: Current Employment, Current holder of individual stocks in a privately-held company, Current holder of stock options in a privately-held company. Wagner: nference Inc.: Current Employment; Janssen: Consultancy. Gray: Janssen Scientific Affairs, LLC: Current Employment, Current holder of individual stocks in a privately-held company. Kumar: Oncopeptides: Consultancy; Celgene: Membership on an entity's Board of Directors or advisory committees, Research Funding; Carsgen: Research Funding; Antengene: Consultancy, Honoraria; Janssen: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; KITE: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Merck: Research Funding; Astra-Zeneca: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Research Funding; Bluebird Bio: Consultancy; Beigene: Consultancy; Tenebio: Research Funding; Roche-Genentech: Consultancy, Research Funding; Takeda: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Amgen: Consultancy, Research Funding; BMS: Consultancy, Research Funding; Abbvie: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Adaptive: Membership on an entity's Board of Directors or advisory committees, Research Funding; Sanofi: Research Funding.