Andrews, Tracy

Abstract Introduction: In the ASPIRE and ENDEAVOR trials, multiple myeloma (MM) patients treated with carfilzomib (K) had significantly improved progression‐free survival and overall survival compared with standard of care. The incidence of all-grade adverse cardiovascular events (ACVE) was 26.6% and 24.5% in the K treated groups in ASPIRE and ENDEAVOR respectively. The atherosclerotic cardiovascular disease (ASCVD) score is a risk stratification tool used by cardiologists to classify patients with a score ≥7.5% as high risk for the incidence of ASCVD events. To date, there are no clinically relevant models that predict the likelihood of ACVE in MM patients treated with K nor are we aware of any protective factors against ACVE. Our study aims to identify factors which can predict and mitigate the incidence of ACVE. Methods: A retrospective chart review of 372 MM patients who were treated with K between 2011 and 2018 at our institution was performed.Data were summarized using descriptive statistics; Chi-square tests of association and Kruskal-Wallis tests were employed to test for differences across groups, where appropriate. Logistic regression was performed to examine the risk factors associated with ACVE. Results: Of the 372 patients, 243 (65%) were Durie-Salmon Stage (DSS) III, 70 (19%) were International Staging System (ISS) III; 186 (50%) were men. There were a total of 102 (27%) ACVE and 33 (9%) ≥grade 3 events. The most common ACVE were congestive heart failure (29%), asymptomatic elevations in pulmonary arterial systolic pressure (PASP) (27%), and hypertension (HTN) (16%). Sixty-eight (66%) Caucasians, 14 (14%) African Americans and 17 (17%) Hispanics developed ACVE. Aspirin (ASA) (64%), beta blockers (BB) (51%), calcium channel blockers (CCB) (43%) and statins (37%) were the most common cardiac medications patients were taking at the time of K initiation. Regardless of cardiac history, patients who were taking a CCB had higher odds of experiencing an ACVE compared to patients who were not taking a CCB (CCB + Cardiac history: OR=1.9; CI=1.0-3.7; CCB, no Cardiac history: OR=6.3; CI= 2.1-18.4) (Table 1). Patients with an ASCVD score ≥7.5% did not have an increased incidence of ACVE but did have an increased incidence of ≥grade 3 vs. grade 1-2 ACVE (100% vs. 78%, p=0.092). Prior cardiac history, including history of HTN, was common (59%) but not associated with incidence or severity of ACVE. Those with type 2 diabetes had a higher rate of ≥grade 3 vs. grade 1-2 ACVE (33% vs. 10%, p=0.004). Patients on certain CV medications while receiving K-based treatment had a higher incidence of ACVE compared to those not on these medications, including BB (51% vs. 34%, p=0.002), CCB (43% vs. 26%, p=0.002), aldosterone antagonists (AA) (8% vs. 3%, p=0.024) and statins (37% vs. 25%, p=0.022). Patients on ASA were more likely to experience ≥grade 3 compared to grade 1-2 ACVE (78% vs. 53%, p=0.016). ACE inhibitors or angiotensin receptor blockers (ACE/ARB) were not associated with increased incidence or severity of ACVE. The use of K in relapsed, as opposed to induction setting, was associated with a higher incidence of ACVE (31% vs. 20%, p=0.035). Maximum dose and number of K doses were not associated with ACVE. There was no relationship between PASP elevation and age >75, use of BB, CCB, AA, ACE/ARB, number of K treatments or maximum dose of K. Factors that were associated with increased odds of ACVE in multivariate analysis included patients who received K in the relapsed setting (OR= 1.7; CI=0.94-3.0) and use of an AA (OR= 4.5; CI=1.4-14.1) (Table 1). Conclusion: In line with prior studies, 28% of MM patients treated with K at our institution developed an ACVE, with 9% grade 3 or above. Use of CCB and AA were particularly associated with increased risk of ACVE, while use of ACE/ARB were not. ASCVD score ≥7.5% was associated with an increased incidence of ≥grade 3 ACVE in K-treated patients and should perhaps be evaluated as a predictive tool in prospective studies. Disclosures Siegel: Celgene: Consultancy, Honoraria, Research Funding, Speakers Bureau; Janssen: Consultancy, Honoraria, Speakers Bureau; Takeda: Consultancy, Honoraria, Speakers Bureau; Novartis: Honoraria, Speakers Bureau; Amgen: Consultancy, Honoraria, Speakers Bureau; BMS: Consultancy, Honoraria, Speakers Bureau; Karyopharm: Consultancy, Honoraria; Merck: Consultancy, Honoraria, Speakers Bureau. Biran:Merck: Research Funding; Amgen: Consultancy, Speakers Bureau; Takeda: Consultancy, Speakers Bureau; Celgene: Consultancy, Honoraria, Speakers Bureau; BMS: Research Funding.

e19525 Background: Rearrangements of the immunoglobulin heavy chain (IGH) on chromosome 14 are identified by FISH in about 15-20% of patients (pts) with newly diagnosed multiple myeloma (MM). Historically there is variation on the significance on prognosis of these rearrangements: typically, t(4;14), t(14;16) and t(14;20) have high risk (HR), and t(11;14) have standard risk (SR). A recent study (Kaufman et al, Leukemia. 2016 30:633-9) suggests that t(11;14) may confer a worse prognosis We report the prognostic significance of t(11;14) in a single-institution MM cohort. Methods: 87 pts with t(11;14) by CD 138 selected FISH at diagnosis were identified, pts without symptomatic MM were excluded. Cox regression was used for statistical analysis. Progression free survival (PFS), and overall survivals (OS) from diagnosis and post autologous stem cell transplant (ASCT) were analyzed by Kaplan-Meier. Results: Median age at diagnosis was 62 years, 45 pts (52%) were male, and 24 pts (27%) had ISS 3. All pts received either a proteasome inhibitor or an immunomodulatory agent, and 42 (48%) received triplet treatment as induction. Sixty-nine (79%) pts had ASCT, and overall response rate (ORR, partial response or better) post ASCT was 73%. For pts with HR FISH (defined as t(14;16), p53 del, 1q21 gain or 1p del) compared to SR FISH, the ORR post ASCT was 70% vs 77% (p = 0.67). OS from diagnosis was 93% at 3 years, 74% at 4 years and 51% at 5 years. Seven patients (8%) developed plasma cell leukemia, and there was no association between HR and SR FISH (p = 0.66). In multivariate analysis, ISS stage was an independent risk factor for mortality; pts with stage 3 had 7.3 times (CI: 1.16-36.4) and 5.7 times (CI: 1.63-20.0) the risk of mortality than pts with stage 1 and 2. Having an ASCT reduced mortality by 87% (CI: 0.04-0.41). Conclusions: Despite the use of novel therapies the OS at 5 years of our pts with MM was not significantly improved compared to SEER data from 1992-2013 (51% vs 48.5%). Pts with t(11;14) who had ASCT had increased survival compared to those who did not. Our results suggest that t(11;14) may confer a worse prognosis. Further prospective studies evaluating the risk of t(11;14) are warranted.