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PURPOSE: Cancer-related emergency department (ED) visits and hospitalizations that would have been appropriately managed in the outpatient setting are avoidable and detrimental to patients and health systems. This quality improvement (QI) project aimed to leverage patient risk-based prescriptive analytics at a community oncology practice to reduce avoidable acute care use (ACU). METHODS: Using the Plan-Do-Study-Act (PDSA) methodology, we implemented the Jvion Care Optimization and Recommendation Enhancement augmented intelligence (AI) tool at an Oncology Care Model (OCM) practice, the Center for Cancer and Blood Disorders practice. We applied continuous machine learning to predict risk of preventable harm (avoidable ACU) and generated patient-specific recommendations that nurses implemented to avert it. RESULTS: Patient-centric interventions included medication/dosage changes, laboratory tests/imaging, physical/occupational/psychologic therapy referral, palliative care/hospice referral, and surveillance/observation. Nurses contacted patients every 1-2 weeks after initial outreach to assess and maintain adherence to recommended interventions. Per 100 unique OCM patients, monthly ED visits dropped from 13.7 to 11.5 (18%), a sustained month-over-month improvement. Quarterly admissions dropped from 19.5 to 17.1 (13%), a sustained quarter-over-quarter improvement. Overall, the practice realized potential annual savings of $2.8 million US dollars (USD) on avoidable ACU. CONCLUSION: The AI tool has enabled nurse case managers to identify and resolve critical clinical issues and reduce avoidable ACU. Effects on outcomes can be inferred from the reduction; targeting short-term interventions toward patients most at-risk translates to better long-term care and outcomes. QI projects involving predictive modeling of patient risk, prescriptive analytics, and nurse outreach may reduce ACU.

Background Talazoparib is a poly (adenosine diphosphate-ribose) polymerase inhibitor approved for the treatment of adult patients with deleterious or suspected deleterious germline BRCA-mutated (gBRCAm), HER2-negative, locally advanced or metastatic breast cancer (LA/mBC), with approval based on the EMBRACA trial. To date, there are no published data on talazoparib use in the real-world United States (USA) setting. Patients and Methods Characteristics, treatment patterns, and clinical outcomes of real-world US patients with gBRCAm HER2-negative LA/mBC treated with talazoparib monotherapy were collected via retrospective chart review and summarized using descriptive statistics. Results Among 84 eligible patients, 35.7% had hormone receptor-positive tumors and 64.3% had triple-negative LA/mBC (TNBC). At talazoparib initiation, 29.8% had ECOG PS of ≥2 and 19.0% had brain metastasis. Mutations in gBRCA1 or 2 were detected among 64.3% and 35.7% of patients, respectively. Talazoparib was given as 1st-line therapy in 14.3% of patients, 2nd-line in 40.5%, and 3rd- or 4th-line in 45.2%. Median time to talazoparib treatment failure was 8.5 months (95% CI, 8.0-9.7), median progression-free survival was 8.7 months (95% CI, 8.0-9.9), the median time from initiation to chemotherapy was 12.2 months (95% CI, 10.5-20.1), and the overall response rate was 63.1%. No differences in clinical outcomes were observed between patients with HR-positive/HER2-negative LA/mBC and patients with TNBC by using unadjusted statistical comparisons. Brain metastasis and ECOG PS ≥2 at talazoparib initiation were associated with treatment failure and progression or mortality. Conclusion Overall, talazoparib clinical outcomes in this real-world population are consistent with findings from EMBRACA.

Neurotrophic tyrosine receptor kinase (NTRK) gene fusions are present across various tumor types with an estimated overall prevalence of less than 1%. Tropomyosin receptor kinase inhibitors (TRKis) block the constitutively activated tyrosine receptor kinase (TRK) fusion protein produced in cancers with NTRK gene fusions (NTRK+) from downstream signaling. Many treatment guidelines now include TRKis as first-line (1L) or subsequent treatment options for TRK fusion cancer.This study aimed to assess treatment patterns subsequent to a finding of NTRK+ status among patients with TRK fusion cancer.This was a one-time, retrospective, multi-site patient chart abstraction by oncology practices in the USA from June to September 2020. US medical oncologists from the Oncology Provider Extended Network (OPEN) who had treated patients with NTRK+ advanced/metastatic solid tumors abstracted information into electronic case report forms (eCRFs) for adult patients with advanced/metastatic solid tumors and a NTRK+ tumor test result with a known fusion partner. Data abstracted into eCRFs by oncologists included demographic, clinical, and treatment characteristics of patients with advanced/metastatic TRK fusion solid tumors. Responses were summarized using descriptive statistics. Median treatment durations across the lines of therapy were estimated by Kaplan-Meier time to discontinuation.A total of 19 medical oncologists abstracted data from 110 patient charts. Median patient age at advanced/metastatic diagnosis was 62 years. The majority of patients were male (58.2%) and White (79.1%). Solid tumor types reported in at least 10% of the study cohort were lung (24.5%), cholangiocarcinoma (13.6%), pancreatic (10.9%), and colorectal (10.0%). Results for patients with hepatobiliary cancers (i.e., cholangiocarcinoma, pancreatic cancer, hepatocellular carcinoma) and colorectal cancer, and appendiceal cancer are also included. Median duration of 1L TRKi therapy was 16.8 months across all solid tumor types, whereas median duration of 1L was 5.6 months among patients receiving non-TRKi therapies (p = 0.017). Among the solid tumor types represented by at least 10% of the study population, median duration of 1L TRKi therapy was only reached in patients with pancreatic cancer (3.3 months). Median duration of TRKi in the second-line (2L) setting was 7.9 months overall, relative to 5.3 months among patients receiving non-TRKi therapies (p = 0.003). Across lung, cholangiocarcinoma, pancreatic, and colorectal cancers, the median durations of 2L TRKi therapy were 14.1, 6.0, 6.1, and 4.1 months, respectively.Among patients with advanced/metastatic TRK fusion solid tumors, medical oncologists reported that approximately two-thirds initiated a TRKi during the study period. Treatment with a TRKi was longer in duration compared to non-TRKi treatment in 1L and 2L therapy. Additional research is needed to gain insight into the association between early TRKi therapy initiation and clinical outcomes in the real-world setting.

Jamile Shammo,1 Ajeet Gajra,2 Yogesh Patel,3 Ioannis Tomazos,3 Jonathan Kish,2 Anita Hill,4 J Rafael Sierra,3 David Araten5 1Rush Hematology, Oncology and Cell Therapy, Rush University Medical Center, Chicago, IL, USA; 2Cardinal Health Inc., Charlotte, NC, USA; 3Alexion, AstraZeneca Rare Disease, Boston, MA, USA; 4Alexion, AstraZeneca Rare Disease, Inc., Leeds, UK; 5Division of Hematology, New York University School of Medicine, New York, NY, USACorrespondence: Jamile Shammo, Email jamile_shammo@rush.eduPurpose: Most patients with paroxysmal nocturnal hemoglobinuria (PNH) treated with a complement protein 5 (C5) inhibitor achieve full control of terminal complement activity and intravascular hemolysis. The minority remains anemic and transfusion dependent despite this control. Etiology for ongoing anemia is multifactorial and includes bone marrow failure, breakthrough hemolysis, extravascular hemolysis (EVH) and nutritional deficiencies.Patients and Methods: To evaluate the potential etiologies of hemoglobin levels < 10 g/dL despite receiving C5 inhibitor therapy, we performed a retrospective US chart review of adult patients with PNH and treated for at least 12 months with eculizumab (n=53), ravulizumab (n=32), or eculizumab followed by ravulizumab (n=15). Clinically evident EVH was defined as at least one transfusion, reticulocyte count ≥ 120× 109/L and hemoglobin level ≤ 9.5 g/dL. Safety data were not collected. Mean treatment duration was 26.5± 17.2 months.Results: Treatment with C5 inhibitors significantly improved hemoglobin, lactate dehydrogenase, and number of transfusions versus baseline. Among the patients with hemoglobin < 10 g/dL during the last 6 months of treatment (n=38), one patient (eculizumab) had clinically evident EVH, and 10 patients had active concomitant bone marrow failure. Bone marrow failure was a major contributor to hemoglobin < 10 g/dL and transfusion dependence; clinically evident EVH was uncommon.Conclusion: A range of hematologic causes need to be considered when evaluating anemia in the presence of treatment with a C5 inhibitor.Keywords: real-world, anemia, intravascular hemolysis, bone marrow failure

PURPOSE: The use of a standardized geriatric assessment (GA) to inform treatment decisions in older adults with cancer improves quality of life, reduces treatment-related toxicity, and is guideline-recommended. This study aimed to assess community oncologists' knowledge and utilization of GAs. METHODS: Between September 2019 and February 2020, practicing US-based oncologists were invited to attend live meetings and complete web-based surveys designed to collect information on treatment decision making and various practice-based challenges in oncology care. RESULTS: Among the 349 oncologists surveyed, 74% practiced in a community setting. Sixty percent did not use a formal GA to inform treatment decisions for any of their older patients; the most common reasons for not using a GA were “Too cumbersome to incorporate into routine practice” (44%) and “Adds no value beyond the comprehensive history and physical exam” (36%). Validated GA instruments used in routine clinical practice included: Mini-Mental State Exam (54%), Comprehensive Geriatric Assessment (23%), Cancer and Aging Research Group toxicity tool (12%), and Chemotherapy Risk Assessment Scale for High-Age Patients tool (9%). Nineteen percent of oncologists were not aware of any validated GA instruments. Eastern Cooperative Oncology Group performance status and comorbidities were the most frequently used assessment factors to inform treatment decisions (88% and 73%, respectively). CONCLUSION: Many oncologists have not incorporated GA tools because of perceptions that GAs are difficult to implement or do not add any value. Increasing education of the benefits of GA-directed therapy could help to increase GA utilization among community oncologists.

PURPOSE: For patients with advanced cancer, timely referral to palliative care (PC) services can ensure that end-of-life care aligns with their preferences and goals. Overestimation of life expectancy may result in underutilization of PC services, counterproductive treatment measures, and reduced quality of life for patients. We assessed the impact of a commercially available augmented intelligence (AI) tool to predict 30-day mortality risk on PC service utilization in a real-world setting. METHODS: Patients within a large hematology-oncology practice were scored weekly between June 2018 and October 2019 with an AI tool to generate insights into short-term mortality risk. Patients identified by the tool as being at high or medium risk were assessed for a supportive care visit and further referred as appropriate. Average monthly rates of PC and hospice referrals were calculated 5 months predeployment and 17 months postdeployment of the tool in the practice. RESULTS: The mean rate of PC consults increased from 17.3 to 29.1 per 1,000 patients per month (PPM) pre- and postdeployment, whereas the mean rate of hospice referrals increased from 0.2 to 1.6 per 1,000 PPM. Eliminating the first 6 months following deployment to account for user learning curve, the mean rate of PC consults nearly doubled over baseline to 33.0 and hospice referrals increased 12-fold to 2.4 PPM. CONCLUSION: Deployment of an AI tool at a hematology-oncology practice was found to be feasible for identifying patients at high or medium risk for short-term mortality. Insights generated by the tool drove clinical practice changes, resulting in significant increases in PC and hospice referrals.

Aim: An augmented intelligence tool to predict short-term mortality risk among patients with cancer could help identify those in need of actionable interventions or palliative care services. Patients & methods: An algorithm to predict 30-day mortality risk was developed using socioeconomic and clinical data from patients in a large community hematology/oncology practice. Patients were scored weekly; algorithm performance was assessed using dates of death in patients’ electronic health records. Results: For patients scored as highest risk for 30-day mortality, the event rate was 4.9% (vs 0.7% in patients scored as low risk; a 7.4-times greater risk). Conclusion: The development and validation of a decision tool to accurately identify patients with cancer who are at risk for short-term mortality is feasible.

Neurotrophic tyrosine receptor kinase (NTRK) gene fusions are oncogenic drivers with an estimated prevalence of less than 1% across all solid tumors. Tropomyosin receptor kinase inhibitors (TRKis) block the constitutively activated tyrosine receptor kinase (TRK) fusion protein produced in NTRK gene fusion positive (NTRK+) tumors from downstream signaling. Tropomyosin receptor kinase inhibitors are now first-line (1L) or subsequent treatment options for TRK fusion cancers.This study assessed timing of NTRK gene fusion testing and treatment modifications among patients with TRK fusion cancers.This was a one-time physician questionnaire with a retrospective, multisite patient chart abstraction of oncology practices in the USA. From June to September 2020, medical oncologists from the Oncology Provider Extended Network (OPEN) who treated patients with NTRK+ advanced/metastatic solid tumors abstracted information into electronic case report forms (eCRFs) for adult patients with advanced/metastatic solid tumors and a NTRK+ tumor test result with a known fusion partner. Use of NTRK testing in routine clinical practice among patients with advanced/metastatic solid tumors was assessed. Data included demographic, clinical, and NTRK gene fusion testing characteristics. Responses were summarized using descriptive statistics.Twenty-eight community-based medical oncologists who had managed or treated 148 patients with advanced/metastatic TRK fusion cancer between 01/01/2016 and 12/31/2019 completed the survey. Lung (27%), thyroid (18%), salivary gland (14%), and colorectal (12%) were the most commonly reported tumor types. A majority (68%) tested NTRK status prior to 1L initiation; testing after disease progression on 1L (36%), 2L (25%), and 3L (21%) was also noted. Most oncologists (96%) reported no difficulty interpreting NTRK reports. Nearly all (96%) indicated using next-generation sequencing (NGS) for determining NTRK status. The majority (57%) indicated that age, tumor type, and performance status did not impact NTRK testing decisions. Less than half (46%) include TRKi therapy following NTRK+ determination. NTRK testing guidelines were commonly reviewed by physicians (89%).Among patients with advanced/metastatic TRK fusion cancer, medical oncologists reported testing for NTRK fusions at diagnosis or prior to 1L. Future research should elucidate why fewer than half of oncologists surveyed (46%) would not use TRKis after NTRK+ status confirmation, assess clinical practices among NTRK+ patients, and characterize treatment patterns and clinical outcomes in real-world settings.

This review aspires to summarize the landmark advancements in the management of the non-small cell lung cancer (NSCLC), both historically and contemporarily with special focus in older adults.The past two decades have witnessed remarkable improvements in the diagnosis and management of lung cancer. Screening recommendations now facilitate earlier diagnosis in high-risk individuals, PET/CT scans have improved radiologic accuracy in identifying sites of disease, and surgical management with minimally invasive techniques has rendered surgery safer in those with limited physiologic reserve. Radiation enhancements, especially radiosurgery, have extended the reach and safety of radiation among high-risk populations. Finally, the revolution in precision medicine with identification of numerous actionable mutations, the advent of immunotherapy, and enhanced supportive care have revolutionized the outcomes in patients with advanced lung cancer. Older adults who represent a majority of patients battling lung cancer have not benefitted to the same extent as their younger counterparts. This special population is only expected to grow in coming days. Hence, addressing major gaps in the management of older adults with NSCLC and optimizing the care are much needed.

Chimeric antigen receptor T-cell (CAR-T) therapy is a revolutionary cancer treatment modality where a patient's own T cells are collected and engineered ex vivo to express a chimeric antigen receptor (CAR). These reprogrammed CAR-T cells, when reinfused into the same patient, stimulate a T-cell mediated immune response against the antigen-expressing malignant cells leading to cell death. The initial results from pivotal clinical trials of CAR-T agents have been promising, leading to multiple approvals in various hematologic malignancies in the relapsed setting, including acute lymphoblastic leukemia (ALL), diffuse large B-cell lymphoma (DLBCL), mantle cell lymphoma, follicular lymphoma, and, more recently, multiple myeloma. However, since the initial trials and US Food and Drug Administration approvals, there have been significant barriers to the widespread use of this therapy. The barriers to the use of CAR-T therapy include complex logistics, manufacturing limitations, toxicity concerns, and financial burden. This review discusses potential solutions to overcome these barriers in order to make this life-changing therapy widely accessible.

Aim: Guidelines list atezolizumab with nab-paclitaxel (ANP) as the preferred first-line (1L) therapy for metastatic triple-negative breast cancer (mTNBC) with PD-L1 expression ≥1%, but which clinical attributes impact ANP prescribing? Materials & methods: Medical oncologists participated in a discrete choice experiment (DCE) with four hypothetical mTNBC clinical scenarios to assess influences of: PD-L1 expression, menopausal status, prior adjuvant therapy and bulky liver metastases. Results: A total of 47% chose ANP in 1L irrespective of menopausal status, prior adjuvant therapy or tumor bulk. PD-L1 expression was the only attribute with a significant impact on ANP preference, with 69% choosing ANP for those with ≥1% expression versus only 26% for those with

Objectives Real-world evidence (RWE) has gained increased attention in recent years as a complement to traditional clinical trials. The use of RWE to establish the efficacy of oncology drugs for Food and Drug Administration (FDA) approval has not been described. In this paper, we review 5 recent examples where RWE was submitted in support of the FDA approvals of original or supplementary indications for oncology drugs. Methods To identify cases where RWE was used, we reviewed drug approval packages available at Drugs@FDA for oncology drugs approved between 2017 and 2019. Five cases were selected to present a broad overview of different types of RWE, different circumstances under which RWE has been used for regulatory approvals, and how FDA evaluated the data in each case. The type of RWE submitted, the indication, limitations identified by FDA reviewers, and the outcome of the submission are discussed. Results RWE, particularly historical controls for rare or orphan indications, has been used to support both original and supplementary oncology drug approvals. Types of RWE included data from electronic health records, claims, post-marketing safety reports, retrospective medical record reviews, and expanded access studies. Small sample sizes, data quality, and methodological issues were among concerns cited by FDA reviewers. Conclusion By bridging the gap between the constraints of the trial setting and the realities of clinical practice, RWE can add value to a regulatory submission. These early examples provide insight into how regulators evaluated RWE submitted as evidence of efficacy for oncology drugs.

Objectives The goal of this study was to evaluate the relationship between social support (SS) and grade 3–5 chemotherapy-related toxicities among older adults with cancer. Methods This is a secondary analysis of a prospective longitudinal study of patients aged 65+ with solid cancer which led to the development of a predictive model for grade 3–5 chemotherapy-related toxicity (the Cancer and Aging Research Group [CARG] Chemotherapy Toxicity Risk Score). SS was measured by a modified version of Medical-Outcome Study-Social Support Survey and grade 3–5 hematological and non-hematological toxicities were captured and graded using CTCAE version 3.0. Patients were categorized into those with poor (SS score ≤ 75) and good SS (score of 76–100). Multivariate polychotomous logistic regression was used to examine the associations between SS and chemotherapy-related toxicity with adjustment for the CARG Toxicity Risk Score. Results Compared to patients with good SS, those with poor SS were less likely to have grade 3–5 toxicity, especially for non-hematological toxicity (adjusted OR = 0.52, p = .02). Patients who did not have someone to take them to the doctor “most” or “all of the time” were less likely to have grade 3–5 non-hematological toxicity compared to patients who had someone to take them to the doctor most or all of the time (adjusted OR = 0.32, p = .02). Conclusion Our study showed that patients with poor SS, especially those with less availability of someone to take them to doctors were less likely to have a documented grade 3–5 non-hematological toxicity.

Introduction Cognitive impairment (CI) increases chemotherapy toxicity risk with need to understand this association utilizing publicly available short screening tools. We evaluated this utilizing a lower threshold on a short screening tool in older adults with cancer. Materials and methods We analyzed data from the Cancer and Aging Research Group (CARG) Chemotherapy Toxicity Risk tool (CARG score) development and validation cohorts (n = 703), which recruited adults age ≥ 65 with cancer from academic centers. Cognition was evaluated with the Blessed Orientation-Memory-Concentration test (BOMC). Patients with BOMC score ≥ 11 were excluded. Utilizing cut-points for older adults, we considered moderate BOMC scores (5-10) as potential CI. Logistic regression was used for analysis. Results Patient baseline characteristics included: mean age 73; 85% white; 63% college or higher education; 250 (36%) potential CI; 385 (55%) severe toxicity. Patients with potential CI were more likely non-white (p ≤ 0.01) and to have high school or lower education (p ≤ 0.01) and high CARG score (p = 0.04). Potential CI was associated with increased severe toxicity risk (OR = 1.54, p ≤ 0.01). After adjusting for CARG score, this association became nonsignificant (OR = 1.35; p = 0.08). Among patients with lower education (n = 258; 36.7%), potential CI remained associated with severe toxicity, even after adjusting for CARG score (OR = 1.87, p = 0.03). Conclusions Our findings suggest potential cognitive impairment, defined by BOMC score 5–10, in older adults with cancer and lower education is associated with increased severe toxicity risk. Future studies are needed to validate these findings. Healthcare providers should consider cognitive testing before treatment for these vulnerable patients.

Aim: To estimate the real-world incidence and timing of radiation pneumonitis following chemoradiotherapy for Stage III non-small-cell lung cancer and compare costs between patients with and without radiation pneumonitis. Methods: Retrospective analysis using the Symphony Health Integrated Dataverse. Results: Pneumonitis incidence was 12.4% with a 177-day mean time to onset. Patients with versus without pneumonitis were more frequently admitted to the hospital (33.8 vs 19.2%, p

Purpose The standard radiotherapy regimen for small cell lung cancer (SCLC) was determined using dose calculations without corrections for tissue heterogeneity, while modern treatments are planned using algorithms accounting for tissue heterogeneity. We assessed differences in dose delivered using heterogeneous and homogeneous dose calculations in a cohort of patients treated for limited-stage small cell lung cancer (LS-SCLC). Methods This is a retrospective analysis of 35 patients (three-dimensional conformal radiation therapy (3D-CRT), n = 22; intensity-modulated radiation therapy (IMRT), n = 13) with LS-SCLC treated with chemoradiotherapy from 2011 to 2017. Treatment plans were developed in the Eclipse Treatment Planning System (TPS) version 13.6 using the Analytical Anisotropic Algorithm (AAA). Two plans were generated for each patient with one using the unit relative electron density and the other maintaining the same monitor units (MUs) with tissue density corrections. The prescription was 45 Gy in 30 fractions of 1.5 Gy delivered twice daily. Individuals who underwent replanning within the same treatment course were evaluated using a separate corrected and uncorrected plan sum. Variations greater than 5% in dose to the tumor or organs at risk were considered clinically relevant. A two-sided paired t-test was used to evaluate the statistical significance of the dosimetric differences. Results The percent dose difference between plans without tissue heterogeneity corrections to those with corrections resulted in an overall median difference of -3% (range: -15.1% to 9.6%; p < 0.01) for the dose covering 95% of the planning target volume (PTV D95) and was -5.6% (range: -17.3% to 5.4%; p < 0.01) for lung volume receiving ≥20 Gy (lung V20). For 3D-CRT, the median difference for the PTV D95 was -0.1% (range: -4.7% to 9.6%; p = 0.62) and the lung V20 was -4.2% (range: -9.4 to 5.4; p 5% deviation).

ObjectiveCancer survival rates have improved over the past few decades, yet socioeconomic disparities persist. Social determinants of health (SDOH) have consistently been shown to correlate with health outcomes. The objective of this study was to characterise oncologists’ perceptions of the impact of SDOH on their patients, and their opinions on how these effects could be remediated.DesignCross-sectional survey of physicians.SettingWeb-based survey completed prior to live meetings held between February and April 2020.ParticipantsOncologists/haematologists from across the USA.ExposureClinical practice in a community-based or hospital-based setting.Main outcome and measurePhysician responses regarding how SDOH affected their patients, which factors represented the most significant barriers to optimal health outcomes and how the impact of SDOH could be mitigated through assistance programmes.ResultsOf the 165 physicians who completed the survey, 93% agreed that SDOH had a significant impact on their patients’ health outcomes. Financial security/lack of insurance and access to transportation were identified most often as the greatest barriers for their patients (83% and 58%, respectively). Eighty-one per cent of physicians indicated that they and their staff had limited time to spend assisting patients with social needs, and 76% reported that assistance programmes were not readily accessible. Government organisations, hospitals, non-profit organisations and commercial payers were selected by 50% or more of oncologists surveyed as who should be responsible for delivering assistance programmes to patients with social needs; 42% indicated that pharmaceutical manufacturers should also be responsible.ConclusionOur survey found that most oncologists were aware of the impact of SDOH on their patients but were constrained in their time to assist patients with social needs. The physicians in our study identified a need for more accessible assistance programmes and greater involvement from all stakeholders in addressing SDOH to improve health outcomes.

Enasidenib was approved by the Food and Drug Administration in 2017 for the treatment of patients with relapsed or refractory (RR) acute myeloid leukemia (AML) with an isocitrate dehydrogenase-2 (IDH2) mutation. Given limited data in clinical practice, this study assessed real-world clinical outcomes and healthcare resource use in patients with RR AML. Physicians performed chart abstraction of patients with RR IDH2-mutated AML treated with enasidenib (between 1/2018 and 6/2019) or other first-line (1 L) RR therapy (between 1/2016 and 7/2017). Progression-free survival (PFS) and overall survival (OS) were estimated by the Kaplan-Meier method, and adjusted risk of progression and death were estimated by multivariable Cox proportional hazard models. Among 124 patients treated with enasidenib and 76 patients treated with other 1 L RR therapy, overall response rate was higher among patients treated with enasidenib vs. other 1 L RR therapies (77% vs. 52%, p lt; 0.01). After a median follow-up of 9 and 6 months, median PFS was 8 months in enasidenib-treated patients and 5 months in patients receiving other 1 L RR therapy, respectively (adjusted HR=0.36, 95% CI: 0.23-0.57, p lt; 0.01). Median OS was 11 and 6 months in enasidenib-treated patients and patients receiving other 1 L RR therapy, respectively (adjusted HR=0.37, 95% CI: 0.22-0.60, p lt; 0.01). Fewer enasidenib-treated patients were hospitalized during 1 L RR therapy vs. those receiving other therapies (14% vs. 46%, p lt; 0.01). Results from this real-world study confirm the effectiveness of enasidenib among patients with IDH2-mutated RR AML and demonstrate that hospitalizations were significantly lower vs. other 1 L RR treatment in clinical practice.

Background Older adults (≥65 years) with gastrointestinal (GI) cancers who receive chemotherapy are at increased risk of hospitalization caused by treatment-related toxicity. Geriatric assessment (GA) has been previously shown to predict risk of toxicity in older adults undergoing chemotherapy. However, studies incorporating the GA specifically in older adults with GI cancers have been limited. This study sought to identify GA-based risk factors for chemotherapy toxicity–related hospitalization among older adults with GI cancers. Patients and Methods We performed a secondary post hoc subgroup analysis of two prospective studies used to develop and validate a GA-based chemotherapy toxicity score. The incidence of unplanned hospitalizations during the course of chemotherapy treatment was determined. Results This analysis included 199 patients aged ≥65 years with a diagnosis of GI cancer (85 colorectal, 51 gastric/esophageal, and 63 pancreatic/hepatobiliary). Sixty-five (32.7%) patients had ≥1 hospitalization. Univariate analysis identified sex (female), cardiac comorbidity, stage IV disease, low serum albumin, cancer type (gastric/esophageal), hearing deficits, and polypharmacy as risk factors for hospitalization. Multivariable analyses found that patients who had cardiac comorbidity (OR 2.48, 95% CI 1.13-5.42) were significantly more likely to be hospitalized. Conclusion Cardiac comorbidity may be a risk factor for hospitalization in older adults with GI cancers receiving chemotherapy. Further studies with larger sample sizes are warranted to examine the relationship between GA measures and hospitalization in this vulnerable population.

Background Improved assessment strategies are needed to individualize treatment for adults of all ages receiving palliative chemotherapy for non-small cell lung cancer (NSCLC). Our aim was to evaluate the utility of the Fried Frailty Index (FFI) and a cancer-specific geriatric assessment (GA) to predict chemotherapy toxicity and overall survival (OS). Methods We conducted a multi-site pilot study of 50 patients with newly diagnosed advanced NSCLC, age ≥ 18 years. All participants received carboplatin AUC 6, paclitaxel 200 mg/m2 every 3 weeks. FFI and the GA were administered prior to chemotherapy. A GA toxicity risk score was calculated. Grade 3–5 toxicity was assessed during 1st two cycles of chemotherapy. OS was measured from chemotherapy initiation. Logistic regression and Cox proportional hazards models were fit to estimate the association between baseline characteristics and toxicity and OS respectively. Results Among 50 participants, 48 received chemotherapy and were evaluable. The mean age was 68.5 y (range 42–86), 79% male, 85% KPS ≥80. The median OS was 8 months. Many (27%) met FFI criteria for frailty with ≥3 impairments. Impairments detected by the GA were common. In multivariable analyses both FFI ≥ 3 and GA toxicity risk score > 7 were independently associated with higher odds of toxicity (Odds ratio [OR] 7.0; 95% confidence interval [CI] 1.1–44.6 and OR 4.3; 95% CI 1.0–17.7, respectively) in first cycle chemotherapy. Neither score was associated with OS. Conclusions Frailty predicts chemotherapy toxicity during first cycle. Frailty assessment may inform toxicity risk regardless of chronologic age.

PURPOSE: Hospitalizations during cancer treatment are costly, can impair quality of life, and negatively affect therapy completion. Our objective was to identify risk factors for unplanned hospitalization among older adults receiving chemotherapy. METHODS: This is a secondary analysis of a multisite cohort study (N = 750) of patients ≥ 65 years of age evaluated with a geriatric assessment (GA) to predict chemotherapy toxicity. The primary outcome of this analysis was unplanned hospitalizations during treatment; the secondary outcome was length of stay (LOS) of the first hospitalization. Independent variables included pretreatment GA measures, laboratory values, cancer type and stage, and treatment intensity characteristics. We used logistic regression to estimate the odds of hospitalization and generalized linear models for LOS in multivariable analyses. RESULTS: The sample median age was 72 years (range, 65-94 years); 59% had stage IV disease. At least one unplanned hospitalization occurred in 193 patients (25.7%) during receipt of chemotherapy. In multivariable analyses controlling for cancer type, the following baseline characteristics were significantly associated with increased odds of hospitalization: needing help bathing or dressing (odds ratio [OR], 1.8; 95% CI, 1.0 to 3.1), polypharmacy (≥ 5 meds) (OR, 1.6; 95% CI, 1.1 to 2.4), more comorbid conditions (OR, 1.1; 95% CI, 1.0 to 1.3), availability of someone to take them to the doctor (OR, 2.0; 95% CI, 1.0 to 4.1), CrCl < 60 mL/min (OR, 1.7; 95% CI, 1.1 to 2.4), and albumin < 3.5 g/dL (OR, 1.8; 95% CI, 1.2 to 2.8). In multivariable analyses, older age, self-reported presence of liver or kidney disease, living alone and depressive symptoms were associated with longer LOS. CONCLUSION: Readily available GA variables and laboratory data, but not age, were associated with unplanned hospitalizations among older adults receiving chemotherapy. If validated, these data can inform prediction models and the design of interventions to decrease unplanned hospitalizations.

12127 Background: Timely integration of palliative care (PC) and hospice management for patients with advanced cancer requires informed clinical decision-making and expectation-setting to help patients realize their end-of-life (EOL) goals. Longer stay with hospice is a quality indicator in oncology care that requires earlier referral to PC and hospice. We have previously demonstrated that an augmented intelligence (AI) tool used to predict 30-day mortality can assist with an increase in referrals to PC and hospice. In this secondary analysis, we report on the impact of the AI tool on the timeliness of referral to PC and hospice prior to death. However, calculating days with hospice across multiple hospice providers and geographies can be challenging. Thus, we used a real-world (RW) measure of 14 to 90 days prior to death as a surrogate for timeliness for hospice and 90 to 180 days prior to death for a PC referral. Methods: Medical records of patients at a large community-based hematology/oncology practice in the Pacific Northwest who experienced a mortality event pre-deployment (January 2017 to April 2018) or post-deployment (May 2018 to June 2021) of the AI tool were electronically reviewed for evidence of a PC or hospice referral. Patients were included if the referral was between 14 to 90 days of the mortality event for hospice care or between 90 to 180 days prior to death for PC. Outcomes for additional timepoints (1-3 days and 4-13 days and >90 days) will be provided at the final presentation. Data were analyzed using a statistical process control chart. Results: Of the patients who experienced a mortality event, the following percentages had been referred pre- and post-deployment of the AI tool: PC 7.1% pre- and 15.0% post-deployment; hospice 11.5% pre- and 32.1% post-deployment. A system shift (≥6 points in a row steadily increasing or decreasing) occurred early after deployment, in June 2018. The overall improvements were 111.0% in PC referrals and 179.1% in hospice referrals within the respective timeframes. Conclusions: Deployment of an AI tool at a hematology/oncology practice substantially increased the proportions of patients referred to PC 90-180 days prior to death and hospice between 14 -90 days prior to death, suggesting a favorable impact on timeliness of referrals. If confirmed in additional studies, the AI-based tool can be utilized to integrate PC early in the management of patients with advanced cancer.[Table: see text]

e18727 Background: BTKi therapies, approved for relapsed or refractory (R/R) MCL, have not been comprehensively evaluated in RW populations. This study aimed to assess patient characteristics, treatment patterns and associated outcomes in RW BTKi-treated MCL pts. Methods: The retrospective multicenter chart review was conducted in the Cardinal Health Oncology Provider Extended Network. EMR data were extracted for eligible pts diagnosed with MCL who initiated any of the approved BTKi (ibrutinib [ibr], acalabrutinib [acal], zanubrutinib [zanu]) from 2018 to 2021; pts enrolled in trials were excluded. Index date was defined as the use of any of the BTKis. Pts were followed 12-mo pre-index for medical history, and from index to last follow-up or death. Descriptive analyses were conducted to assess demographic/clinical characteristics, MCL baseline features, BTKi treatment patterns, adverse events (AE), and response rates by BTKi. Multivariable logistic regression was performed to assess factors associated with response and AE. Results: The study cohort consisted of 300 MCL pts (59% male; 69% white); most (64%) pts were covered by Medicare, 34% had commercial insurance. BTKis were given mainly as monotherapy (93%) and in R/R setting (86%). Pts in zanu group were significantly older (n = 100, median age = 71, range = 50-91) than pts in ibr (n = 100, median age = 69, range = 39-87) and acal (n = 100, median age = 70, range = 51-86) groups. Significantly fewer pts in the zanu group had baseline Ann Arbor stage I-II (4%) than ibr (10%) or acal (13%), while more zanu pts had presence of B symptoms (67%) than ibr (44%) or acal (57%). Pts in the zanu group also had significantly less with ECOG of 3+ (4%) compared to ibr (8%) or acal (6%). At BTKi initiation, significantly more pts in zanu group (18%) had history of atrial fibrillation than ibr (1%) or acal (5%). Multivariable regression reported a significant association of age, gender, extranodal/splenic involvement, and timing of BTKi initiation with response and AE (Table). Conclusions: This study provides the first RW evidence on comparative effectiveness of ibr, acal, zanu in MCL pts. While pts treated with zanu were older and had more complex MCL baseline features at initiation, multivariable regression suggested a trend favoring zanu over ibr or acal for both response and AE. Frontline initiation of BTKi therapy was also associated with improved tolerability. Future RW studies are needed to discern long-term outcomes.[Table: see text]

e19065 Background: ESAs are used in first-line treatment for symptomatic or transfusion-dependent anemia in patients (pts) with LR-MDS. Ultimately, the majority of pts with LR-MDS who receive an ESA will experience ESA treatment failure. This real-world (RW) study aims to describe pt characteristics, treatment patterns including ESA use, and outcomes in pts with LR-MDS. Methods: A retrospective, observational, US multisite, cohort chart review of adult pts diagnosed with LR-MDS between January 1, 2015 and June 24, 2020 was conducted. Eligible pts had not received luspatercept or participated in a clinical trial and had ≥ 1 year of follow-up after LR-MDS diagnosis, unless follow-up was < 1 year due to death during this interval. Demographics, clinical characteristics, treatment patterns, and outcomes were summarized using descriptive statistics. Median duration of therapy (DOT) was estimated using the Kaplan-Meier method. Results: Among 338 eligible pts, median age at LR-MDS diagnosis was 70 years (range: 19–100), 55% were female, 71% were White, 17% had known detection of del(5q), and ring sideroblast status was known to be positive for 7%. Transfusion independence within the 8 weeks prior to diagnosis (TI8) was reported for 48% of eligible pts and 17% had intermediate-1/ intermediate disease risk by IPSS/ IPSS-R risk classification. Within the study follow-up time (median of 28.3 months from diagnosis), 76% of pts had received systemic therapy for MDS (median DOT: 29.2 months). An ESA was used in 56% (n = 190) of pts, of whom 38% received red blood cell (RBC) transfusions during ESA treatment. Of those receiving systemic treatment for LR-MDS, 11% were hospitalized for reasons that physicians reported were related to MDS treatment complications. At the time of data collection, 30% of pts had died. Among 38 pts determined to have failed ESA treatment by abstracting physicians, 11% had TI8, 34% had intermediate-1/ intermediate disease risk, 82% received RBC transfusions during ESA treatment, 26% required hospitalization that abstracting physicians reported was related to MDS treatment complications, 32% continued to receive ESA post-failure, and 53% were deceased at data collection. Conclusions: Results from this RW study indicate that a higher proportion of pts with LR-MDS who experienced ESA treatment failure according to abstracting physicians had intermediate-1/ intermediate disease risk at diagnosis, were transfusion dependent at diagnosis, required RBC transfusions during ESA treatment, were hospitalized for reasons related to MDS treatment complications, and had poor short-term survival. Nearly a third of pts who experienced ESA treatment failure still received an ESA after initial failure. In summary, findings from this study indicate that pts with LR-MDS who experience ESA treatment failure are likely to have worse outcomes.

e18525 Background: Research suggests that between thirty and fifty percent of patients with cancer experience psychiatric disorders across the cancer trajectory. As part of standard cancer care, mental health care can reduce distress and psychological morbidity for patients and improve their quality of life. Mental health treatment may even improve cancer survival rates.Considering the mental health issues relevant to cancer, implementation of mental health care into routine clinical care remains a challenge among community-based hematologists/oncologists (cH/O). Methods: Practicing U.S. cH/O completed a cross-sectional, web-based survey from September through November 2021. The survey collected demographic information and assessed physicians’ experiences and awareness regarding mental health diagnosis, frequency, severity, and management among their patients. Data were summarized using descriptive statistics. Results: Participants (N = 243) specialized in hematology/oncology (63%), medical oncology (36%) (1% other). The majority practiced in community-based settings unaffiliated with an academic center or hospital (73%). The majority (92%) agreed that mental health can significantly impact the health outcomes of patients with cancer. The majority (80%) frequently see patients coping with mental illness or distress. More than a quarter of the participants reported that their practice has clinical psychologists (27%), and nearly half (46%) have social workers on staff. About half (51%) occasionally refer patients for mental health services/treatment while 15% rarely or never refer. Nearly half (49%) indicated they do not have adequate resources to support the mental health needs of their patients with cancer. Conclusions: Our findings that oncologists have high levels of awareness about mental health issues among their patients with cancer is encouraging as is their incorporation of professionals on the care team to address this need. However, oncologists indicated that their available mental health resources are inadequate to meet patients’ needs and external referrals are limited. These findings suggest that additional resources and referrals are needed to ensure that patients will consistently receive the mental health care they need. Future research to assess the impact of mental health care on clinical outcomes including quality of life in patients with cancer is warranted.