Citations

Introduction: Our group previously published that the infusion autograft inhibitor KIR2DL2 (CD158b+CD337-) and activating NKp30 (CD158b- CD337+) Natural killer (NK) cells receptors were predictors of clinical outcomes in lymphoma patients undergoing autologous peripheral blood hematopoietic stem cell transplantation (APBHSCT) (Porrata et al. Leukemia Research 2019; 81: 1-9). To assess if these subsets of NK cells still hold clinical relevance, we set up to investigate their prognostic ability to predict clinical outcomes at Day 100 post-APBHSCT. Methods: 107 lymphoma patients who participated in our double-blind phase III trail (Porrata et al, Biology of Blood and Marrow Transplantation 2016; 22(6); 1017-1023) and had clinical assessment at Day 100 post-APBHSCT were included in this study. Nkp30 and KIR2DL2 at Day 100 were assessed by flow cytometry analysis. Results: With a median follow-up for the entire cohort from Day 100 was 94.7 months (range: 4.83-158.1 months). Figure 1 shows the overall survival (OS) and progression-free survival (PFS) based on the absolute numbers of KIR2DL2 and Nkp30 NK cells. At Day 100, patients with a KIR2DL2 < 0.08 and Nkp30 ≥0.19 experienced superior OS and PFS compared with patients with a Day 100 KIR2DLD2 ≥0.08 and NKp30 < 0.19. In the multivariate analysis both the KIR2DL2 [OS: HR = 1.767, 95%CI, 1.302-30.31, p < 0.04; and PFS: HR = 2.663, 95%CI, 1.108-6.403, p < 0.03] and Nkp30 [OS: HR = 2.594, 95% CI, 1.239-5.432, p < 0.01; and PFS: HR = 3.676, 95% CI, 1.875-7.206, p < 0.01] were independent predictors for OS and PFS. Conclusion: Day 100 inhibitory KIR2DL2 and activating NKp30 NK cells are prognostic immune-biomarkers in lymphoma patients undergoing APBHSCT.

572 Background: The DEFeNDR (Decreasing the burden of Febrile Neutropenia through Dynamic RPM) program leverages in-home technology and centralized nurse monitoring to facilitate ambulatory management as an alternative to hospital-based care for cancer patients with neutropenic fever (NF). The objective of this study is to assess 30-day care utilization outcomes and patient satisfaction at 12 months after program implementation. Methods: Adult cancer patients hospitalized with NF were assessed daily for DEFeNDR program eligibility including MASCC score ≥21 (per ASCO guidelines) and no cellular therapy (CAR-T, BMT) in the prior 100 days. Patients agreeing to participate in the 30-day program received a cellular-enabled tablet with pre-connected devices for twice-daily vital signs and symptom assessments. Patient generated data were EHR-integrated in real-time. Embedded decision trees facilitated alerts for adverse trends. Virtual RPM nurses responded to alerts and utilized predefined care pathways. The primary endpoint was the mean proportion of evaluable days spent inpatient (mPEDI) within 30 days of eligibility comparing those who participated in the program (RPM) with those who declined (no RPM). Results: Of 85 eligible patients, 62 were offered DEFeNDR participation. Of those, 34 (54.8%) participated and 28 (45.2%) declined. Baseline characteristics and care utilization outcomes are summarized in Table 1. RPM patients experienced significantly lower mPEDI compared with unmonitored patients [5.1% (Standard Error [SE], 1.9%) vs 12.4% (SE, 2.1%); Wilcoxon Rank Sums p-value, 0.032]. RPM patients also experienced a trend toward fewer total hospital days and lower 30-day readmission rate, as well as shorter mean length of stay and lower rate of ICU utilization when readmitted. Non-visit care activities (EHR clinical communications, documentation, and patient messaging) were decreased from pre-hospital baseline for 58.8% of RPM patients versus 46.6% of those unmonitored. All RPM patients completing a patient satisfaction survey (n=9) indicated that they would recommend the program to patients with a similar condition. Conclusions: Cancer patients with NF participating in the DEFeNDR program experienced a significant reduction in mPEDI and care utilization compared with those who declined. Further studies are warranted to assess comparative effectiveness of this model vs usual care.[Table: see text]

518 Background: Oncology has entered the digital era, accompanied by changes in patient interactions and expectations involving telemedicine. While much emphasis is appropriately placed on digital interactions with patients, little is known about modern non-digital interactions with patients in oncology practices. Methods: We analyzed Medical Oncology Pager (MOP) data from 7/1/18 – 4/14/23, during which patients had access to the electronic health record and messaging capabilities. The MOP for Mayo Clinic (Rochester) is covered by the medical oncology fellows, including after hours (6PM – 7AM). It covers consults and direct patient calls after hours and during weekends, in addition to critical results back up and inpatient oncology matters at all times. We also analyzed Medical Oncology Call Center (MOCC) data since 6/1/22, which takes inbound patient calls during working hours (7AM – 6PM) and is staffed by appointment office employees. Results: The MOP received a total of 17,679 pages during the analyzed period for a mean of 10.1 pages per day. Of these, 6,319 pages occurred after hours. The most after-hours pages were received on Fridays (n=1,091) and the least on Sundays (n=701); of those years with fully available data, 2022 had the highest volume (n=1,405) (Table 1). When comparing the MOP activity pre-pandemic (7/1/18 – 3/10/20) and intra-pandemic (3/11/20 – 4/14/23), the mean number of after-hours pages per day was relatively stable with 3.47 pre-pandemic and 3.69 intra-pandemic. Since 6/1/22, the MOCC has averaged 6,464 inbound calls per month during working hours, each of which had an average talk time of approximately five minutes. The majority of inbound calls occur on Monday mornings between 9 – 11AM, with over 6,500 recorded throughout the previous year. Conclusions: Telemedicine is multi-faceted, comprised of both digital and non-digital patient interactions. We show that many oncology patients utilize telephone communication with the healthcare system despite increased availability of digital capabilities. These data have implications for addressing the digital divide for those with limited digital access, serving older patient populations unfamiliar with digital technologies, healthcare navigation, trainee responsibilities, and resource allocation. Further work and standardization in non-digital telemedicine is necessary as it remains a pillar of modern healthcare delivery and oncology practices.[Table: see text]

Introduction: The differential diagnosis of a spinal intradural extramedullary mass lesion is broad and includes meningioma, schwannoma, neurofibroma, leptomeningeal metastasis, and myxopapillary ependymoma. Though rare, lymphoma should be included in the differential diagnosis of a dural mass lesion. Case Report: A 38-year-old man presented with back pain that progressed over 1 month with associated focal tenderness over his mid to lower thoracic spine. He developed intermittent numbness of the bilateral lower extremities, nuchal rigidity, difficulty sleeping, and night sweats. A magnetic resonance imaging of the thoracic spine demonstrated a dorsal intradural extramedullary enhancing lesion from T7 to T10 extending outside the spinal canal. Dural thickening across the entire circumference of the spinal cord was noted. Computed tomography (CT)-guided biopsy of the thoracic lesion was performed, and pathology was consistent with follicular lymphoma. Fluorodeoxyglucose positron emission tomography:CT demonstrated no systemic disease. Bone marrow biopsy was negative for malignancy. Symptoms resolved with dexamethasone therapy. He was treated with bendamustine and rituximab with follow-up positron emission tomography:CT 2 months later demonstrating a complete response. Conclusions: Lymphoma can rarely present as an isolated dural lesion and should be considered in the differential diagnosis of intradural extramedullary spinal mass lesions. Prompt diagnosis and initiation of treatment can lead to complete response and resolution of symptoms.