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Standard carfilzomib (20 mg/m2 cycle 1,27 mg/m2 thereafter; 2-to 10-minute infusion) is safe and effective in relapsed or refractory multiple myeloma (R/RMM). We report phase 2 results of carfilzomib 20 mg/m2 on days 1 to 2 of cycle 1, 56 mg/m2 thereafter (30-minute infusion), in R/RMM with the option of adding dexamethasone (20 mg) for suboptimal response/progression. Forty-four patients enrolled, all having prior bortezomib and immunomodulatory drugs and a median of 5 prior regimens. Of 42 response-evaluable patients, 23 (55%) achieved at least partial response (PR). Median (95% confidence interval) duration of response, progression-free, and overall survival were 11.7 (6.7-14.7), 4.1 (2.5-11.8), and 20.3 months (6.4-not estimable), respectively. High-risk cytogenetics did not impact outcomes. Treatment was active in bortezomib-refractory subgroups, but these patients tended to have poorer outcomes. Four/10 patients with prior allogeneic transplant achieved at least PR. Of 6 patients who responded, progressed and had dexamethasone added, 4 achieved at least stable disease. The most frequent grade 3/4 adverse events (AEs) possibly related to carfilzomib included lymphopenia (43%), thrombocytopenia (32%), hypertension (25%), pneumonia (18%), and heart failure (11%). Seven patients (16%) discontinued treatment due to AEs. Carfilzomib 56 mg/m2 ± dexamethasone was tolerable and provided durable responses. This trial was registered at www.clinicaltrials.gov as #NCT01351623. [ABSTRACT FROM AUTHOR]

Artificial intelligence enabled interpretation of electrocardiogram waveform images (AI-ECG) can identify patterns predictive of future adverse cardiac events. We hypothesized such an approach, which is well described in general medical and surgical patients, would provide prognostic information with respect to the risk of cardiac complications and overall mortality in patients undergoing hematopoietic cell transplantation (HCT) for blood malignancy. We retrospectively subjected ECGs obtained pre-HCT to an externally trained, deep learning model designed to predict risk of atrial fibrillation (AF). Included were 1,377 patients (849 autologous HCT and 528 allogeneic HCT recipients). Median follow-up was 2.9 years. The three-year cumulative incidence of AF was 9% (95% CI: 7-12%) in autologous HCT patients and 13% (10-16%) in allogeneic HCT patients. In the entire cohort, pre-HCT AI-ECG estimate of AF risk correlated highly with development of clinical AF (Hazard Ratio (HR) 7.37, 3.53-15.4, p <0.001), inferior overall survival (HR: 2.4; 1.3-4.5, p = 0.004), and greater risk of non-relapse mortality (HR 3.36, 1.39-8.13, p = 0.007), without increased risk of relapse. Significant associations with mortality were only noted in allo HCT recipients, where the risk of non-relapse mortality was greater. Compared to calcineurin inhibitor-based graft versus host disease prophylaxis, the use of post-transplantation cyclophosphamide resulted in greater 90-day incidence of AF (13% versus 5%, p = 0.01), corresponding to temporal changes in AI-ECG AF prediction post HCT. In summary, AI-ECG can inform risk of post-transplant cardiac outcomes and survival in HCT patients and represents a novel strategy for personalized risk assessment after HCT., (Copyright © 2024 American Society of Hematology.)