Disease and Clinical Characteristics of Patients with Myelofibrosis Enrolled in the MOST Study

Introduction: Myelofibrosis (MF) is a chronic Philadelphia chromosome-negative myeloproliferative neoplasm characterized by progressive bone marrow (BM) fibrosis, extramedullary hematopoiesis, splenomegaly, constitutional symptoms, and shortened survival. Data pertaining to the clinical characteristics and treatment patterns of patients with low-risk MF are limited; most studies have focused on patients with intermediate- and high-risk MF. The ongoing Myelofibrosis and Essential Thrombocythemia Observational STudy (MOST) was designed to characterize the demographics, disease burden, patient-reported outcomes, and management of patients with MF or essential thrombocythemia (ET) in clinical practices throughout the United States (NCT02953704). This analysis describes demographic and clinical characteristics of patients with low-risk MF enrolled in MOST. Methods: MOST is an ongoing multicenter, non-interventional, longitudinal, prospective, observational study in patients with MF or ET. Eligible patients with MF were at least 18 years old and had low- or intermediate-1 (INT-1) risk by age alone according to the Dynamic International Prognostic Scoring System (DIPSS). Patients participating in blinded investigational drug trials, having life expectancy ≤6 months, or having other concurrent myeloid malignancies were excluded. Data from patient records were entered into an electronic case report form during usual-care visits over a planned 36-month observation period. Data were analyzed with descriptive statistics. Results: A total of 232 patients with MF were enrolled between November 29, 2016 and March 29, 2019 at 124 sites. Two-hundred patients with low-risk (n=77) or INT-1 risk by age alone (n=123) MF were included in this analysis (data cut-off date, June 17, 2019); 32 patients were excluded due to incorrect risk categorization (n=27) or unanswered prognostic factors at enrollment (n=5). At enrollment, the median age was 68 (range, 35-88) years, 58% were aged >65 years, 49% were women, and 89% were white. Thirteen patients (7%) had a documented family history of MF, ET, or polycythemia vera. Of 157 patients with manual spleen assessment at enrollment, 55 (35%) had palpable splenomegaly; median spleen length was 7 (range, 1‒22) cm in 35 patients with available measurements. The median time from MF diagnosis to enrollment was 1.7 (range, 0.0-37.7) years; most patients (75%) were diagnosed within 5 years of enrollment. Of patients with available data, 93% (185/200) were reported to have undergone BM biopsy/aspiration and 82% (162/198) had mutation testing (MT) at the time of diagnosis; most patients had received both BM biopsy and MT (151/196 [77%]). Data from MT conducted prior to or within 30 days of diagnosis were available for 142 patients (71%); 134/142 patients (94%) were tested for a JAK2 mutation, of whom 95/134 (71%) were positive (Table 1). At enrollment, approximately half of patients with available data (97/190 [51%]) had hemoglobin below normal range, and approximately one-third had platelets (68/188 [36%]) or leukocytes (58/186 [31%]) above normal range (Table 2). The most common signs reported at the time of enrollment included lactate dehydrogenase greater than the upper limit of normal (41%), palpable spleen (31%), and leukocytosis (>11 × 109/L; 24%). Across both risk groups, 111 patients (56%) were receiving MF-directed monotherapy at enrollment (low-risk, 43/77 [56%]; INT-1 by age alone, 68/123 [55%]). Low-risk patients received hydroxyurea (HU; 23/43 [54%]), ruxolitinib (15/43 [35%]), interferon (4/43 [9%]), or anagrelide (1/43 [2%]); INT-1 patients received ruxolitinib (30/68 [44%]), HU (28/68 [41%]), interferon (8/68 [12%]), or anagrelide (2/68 [3%]). Five patients (3%) were receiving >1 MF-directed therapy. Less than half of low- (34/77 [44%]) and INT-1- (50/123 [41%]) risk patients were receiving no MF-directed therapy at enrollment. Conclusion: These real-world data provide insight into the clinical characteristics, diagnosis, and treatment patterns of patients with low- or INT-1 risk (by age alone) MF in the United States. Data from this trial will help characterize the rate at which patients transition from low- or INT-1-risk disease to higher risk categories of disease and how management is affected by disease progression. Disclosures Gerds: Sierra Oncology: Research Funding; Imago Biosciences: Research Funding; Incyte: Consultancy, Research Funding; Celgene Corporation: Consultancy, Research Funding; CTI Biopharma: Consultancy, Research Funding; Pfizer: Consultancy; Roche: Research Funding. Lyons:Texas Oncology: Equity Ownership; Amgen: Consultancy; McKesson: Other: Leadership. Colucci:Incyte: Employment, Equity Ownership. Kalafut:Incyte: Employment, Equity Ownership. Paranagama:Incyte: Employment, Equity Ownership. Verstovsek:Promedior: Research Funding; Blueprint Medicines Corp: Research Funding; CTI BioPharma Corp: Research Funding; Genetech: Research Funding; Pragmatist: Consultancy; Pharma Essentia: Research Funding; Astrazeneca: Research Funding; Ital Pharma: Research Funding; Protaganist Therapeutics: Research Funding; Constellation: Consultancy; Incyte: Research Funding; Roche: Research Funding; NS Pharma: Research Funding; Celgene: Consultancy, Research Funding; Gilead: Research Funding; Novartis: Consultancy, Research Funding; Sierra Oncology: Research Funding.

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Real-World Analysis of Ruxolitinib Treatment Patterns and Outcomes Among Patients with Myelofibrosis

Blood ◽

10.1182/blood-2019-124651 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 4750-4750 ◽

Cited By ~ 1

Author(s):

Tanya Burton ◽

Kejal Parikh ◽

Manish Patel ◽

Kevin Sundquist ◽

Lincy S. Lal ◽

...

Keyword(s):

Health Plan ◽

Research Funding ◽

Index Date ◽

Myeloproliferative Neoplasm ◽

Treatment Patterns ◽

Systemic Steroid ◽

Administrative Claims ◽

Employment Equity ◽

Oncology Research ◽

Equity Ownership

Background: Myelofibrosis (MF) is a myeloproliferative neoplasm characterized by bone marrow fibrosis, splenomegaly, cytopenias, and poor survival. Ruxolitinib (RUX) is the only approved treatment for Intermediate or High-risk MF. In a previous study, we have shown almost 1 in 3 patients initiating RUX had dose modifications during the first 3 months of treatment (Burton T et al. HemaSphere 2019). The objective of this study was to assess RUX treatment patterns among patients with MF. Methods: This retrospective analysis used administrative claims data from a large US health plan to identify adults (aged ≥ 18 years) with ≥ 1 claim for RUX and ≥ 2 non-diagnostic medical claims for primary (International Classification of Diseases [ICD] 9th or 10th Revision [9/10]: 238.76, D47.4) or secondary MF (ICD-9/10: 289.83, D75.81) from January 1, 2012 to June 30, 2018. The first RUX claim on or after the first MF claim defined the index date. Included patients were continuously enrolled in a commercial or Medicare Advantage health plan for 3 months before the index date (pre-index period) and 6 months on or after the index date (post-index period). Clinical characteristics, MF-related treatments, health care resource utilization (HCRU), and costs were assessed during the pre- and post-index periods. Costs were adjusted to 2018 US dollars using the medical component of the Consumer Price Index. Cohorts were created based on the maximum (max) RUX daily dose observed during the 6-month post-index period: suboptimal max < 30 mg/day (SUB); and optimal max ≥ 30 mg/day (OPT). All variables were analyzed descriptively. Results: Among 495 eligible patients, mean (SD) age was 69.4 (10.3) years; 54.1% were male; and 25% had a primary MF diagnosis code. Median initial RUX dose was 30 mg/day and patients continued with this dose for a mean (SD) of 70.0 (45.8) days. RUX dose was modified for 19.4% of patients during the 6-month post-index period, and the distribution of max RUX daily doses was: < 15 mg (13.7%), 15-29 mg (24.9%), 30-40 mg (55.8%), and > 40 mg (5.7%). Two groups based on max RUX dosing were further analyzed: 191 (38.6%) in the SUB cohort (< 30 mg), and 304 (61.4%) in the OPT cohort (≥ 30 mg). Patients in the SUB cohort were older than patients in the OPT cohort (SUB: mean 70.8 [SD 10.1] years; OPT: mean 68.5 [SD 10.3] years; P = 0.013), but the mean Charlson Comorbidity Index scores did not differ (SUB: mean 1.6 [SD 1.8]; OPT: mean 1.5 [SD 1.8]; P = 0.601). Rates of anemia were higher at baseline for the SUB cohort than the OPT cohort (SUB: 64.9%; OPT: 53%; P = 0.009). During the 6-month post-index period, compared with patients in the OPT cohort, patients in the SUB cohort had a higher proportion of thrombocytopenia (SUB: 31.4%; OPT: 22.7%; P = 0.03). Nearly half (45.5%) the sample used a supportive agent such as an androgen, systemic steroid, or erythropoiesis-stimulating agent during the post-index period (SUB: 48.2%; OPT: 43.8%; P = 0.34). With respect to HCRU and costs, the SUB cohort had a higher proportion of emergency department (ED) visits than the OPT cohort during baseline (SUB: 31.4%; OPT: 23.4%; P = 0.048); and baseline total mean (SD) all-cause costs were USD 18,079 (21,876) overall, USD 18,908 (24,411) for the SUB cohort, and USD 17,559 (20,145) for the OPT cohort (P = 0.523). During the 6-month follow-up period, 31.1% of patients had ≥ 1 ED visit (SUB: 35.1%; OPT: 28.6%; P = 0.131), 22.8% had ≥ 1 inpatient (IP) hospitalization (SUB: 24.6%; OPT: 21.7%; P = 0.455), and total mean (SD) all-cause costs were USD 94,498 (97,391) overall (SUB: USD 93,289 [115,418]; OPT: USD 95,258 [84,315]; P = 0.839). Conclusion: In this study, patients with MF treated with RUX experienced significant disease burden and high costs, regardless of dose. Both anemia and thrombocytopenia were observed along with nearly half of patients using a supportive agent. Given the large proportion of patients with a dose adjustment, suboptimal dosing, and an IP hospitalization, there continues to be a need for additional therapeutic options for patients with MF. Disclosures Parikh: Celgene Corporation: Employment, Equity Ownership. Patel:Celgene Corporation: Employment, Equity Ownership. Sundquist:Optum: Employment, Equity Ownership. Lal:Optum: Employment. Copher:Celgene Corporation: Employment. Gerds:Roche: Research Funding; Incyte: Consultancy, Research Funding; Sierra Oncology: Research Funding; CTI Biopharma: Consultancy, Research Funding; Imago Biosciences: Research Funding; Celgene Corporation: Consultancy, Research Funding; Pfizer: Consultancy.

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Epidemiology of PNH and Real-World Treatment Patterns Following an Incident PNH Diagnosis in the US

Blood ◽

10.1182/blood-2019-125867 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 3407-3407 ◽

Cited By ~ 2

Author(s):

Jessica J Jalbert ◽

Umesh Chaudhari ◽

Haixin Zhang ◽

Jonathan Weyne ◽

Jamile M. Shammo

Keyword(s):

Incidence Rate ◽

Real World ◽

Treatment Duration ◽

Research Funding ◽

The United States ◽

Treatment Patterns ◽

Employment Equity ◽

Equity Ownership ◽

Procedure Codes ◽

Rbc Transfusion

Introduction: Paroxysmal nocturnal hemoglobinuria (PNH) is an acquired, life-threatening blood disease. While PNH is known to be a rare disease, the incidence and prevalence of the condition has been described only in a few small studies. In addition, while the International PNH registry is a rich source of data on real-world PNH patients globally, it is not possible to estimate the incidence and prevalence of PNH directly from the registry. As complement inhibitors are becoming the standard of care for PNH treatment, we also sought to explore how patients are managed following an incident PNH diagnosis. The objective of this study was to estimate the incidence and prevalence of PNH and to describe real-world treatment patterns among patients newly diagnosed with PNH in the United States (US). Methods: We conducted a retrospective cohort study using Truven US MarketScan Commercial/Medicare data (1 Jan 2015 to 30 June 2018), an employer-sponsored insurance claims database including annually approximately 30 million insured patients and their dependents' complete longitudinal records of inpatient services, outpatient services, and prescription drug claims covered under a variety of fee-for-service and capitated health plans. While these data are considered nationally representative of Americans with employer-provided health insurance, data come mainly from large employers. To estimate prevalence, we identified patients with ≥ 1 PNH diagnosis (ICD10: D59.5) among persons continually enrolled in the databases in 2017. To estimate incidence, we required ≥1-year of baseline enrolment and no PNH diagnosis or eculizumab exposure, identified using national drug codes [NDC] or procedure codes for drug administration, during the baseline period. Person-time accrued post-baseline until PNH diagnosis, end of study period, or disenrollment. We stratified incidence and prevalence estimates by age and sex and described patients with incident PNH in terms of demographics, comorbidities, and past-year healthcare resource utilization. Using Kaplan-Meier estimators, we estimated incidence of eculizumab initiation, timing of initiation, treatment duration, and risk of discontinuation/treatment holiday (>42 days between eculizumab exposures [i.e. 14-day exposure period + 28-day grace period between infusions], the equivalent of missing 2 infusions assuming a bi-weekly infusion schedule for eculizumab) following the incident PNH diagnosis. While accounting for censoring, we also investigated patterns of red blood cell (RBC) transfusions, identified using procedure codes, in terms of incidence and timing of first transfusion following an incident PNH diagnosis. Results: The prevalence of PNH varied little between 2016 and 2017, from 12 to 13 per 1,000,000. The incidence rate over the study period was 5.7 per 1,000,000 person-years, representing 257 incident PNH cases. The incidence rate of PNH increased with age and was similar across sex. At diagnosis, mean age was 50.0 years (standard deviation [SD]: 18.6), 3.1% (8/257) were less than 18 years, 52.1% were women, 19.5% had a past-year diagnosis of aplastic anemia, 8.2% had a past-year diagnosis of myelodysplastic syndrome, 14.0% had a past-year RBC transfusion, and 31.5% had been hospitalized in the past-year. Over a mean follow-up time of 385.6 days (SD: 253.2), 10.3% (95% confidence interval [CI]: 6.3-14.1%) of patients initiated eculizumab on average 60.5 days (SD: 55.9) from PNH diagnosis. At 1 year, about one third of patients discontinued eculizumab or had taken a treatment holiday; average treatment duration was 328.2 days (SD:245.4). Cumulative incidence of RBC transfusions at 6 months and 1 year was 14.6% (10.1-18.9%) and 17.4% (12.2-22.3%), respectively. On average, the first RBC transfusion occurred within 63.6 days (SD: 114.4) of an incident PNH diagnosis. Conclusions: In routine clinical practice, only a minority of patients recently diagnosed with PNH are initiated on eculizumab. Among PNH patients treated with eculizumab, less than 70% remain on treatment after 1 year. Findings must be interpreted in the context of limitations including lack of information on clone size, symptom burden, measures of disease activity, or bone marrow failure state which may affect treatment course. Future studies should explore factors affecting eculizumab initiation and persistence on treatment. Disclosures Jalbert: Regeneron Pharmaceuticals, Inc.: Employment, Equity Ownership. Chaudhari:Regeneron Pharmaceuticals, Inc.: Employment, Equity Ownership. Zhang:Regeneron Pharmaceuticals, Inc.: Employment, Equity Ownership. Weyne:Regeneron Pharmaceuticals, Inc.: Employment, Equity Ownership. Shammo:Incyte: Consultancy, Honoraria, Research Funding, Speakers Bureau; Celgene: Consultancy, Honoraria, Research Funding, Speakers Bureau; Alexion: Consultancy, Honoraria, Research Funding, Speakers Bureau; Onconova: Research Funding; Apellis: Membership on an entity's Board of Directors or advisory committees; Sanofi: Consultancy, Honoraria, Speakers Bureau; Astex Pharma: Research Funding; Novartis: Consultancy, Honoraria; Otsuka: Consultancy, Honoraria; CTI Pharma: Research Funding.

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Treatment Patterns and Hydroxyurea Response Among Patients with Polycythemia Vera

Blood ◽

10.1182/blood.v124.21.1852.1852 ◽

2014 ◽

Vol 124 (21) ◽

pp. 1852-1852

Author(s):

Shreekant Parasuraman ◽

Marco DiBonaventura ◽

Kelly Reith ◽

Kristen Concialdi

Keyword(s):

Polycythemia Vera ◽

Research Funding ◽

The United States ◽

Treatment Patterns ◽

Employment Equity ◽

Medical Needs ◽

The Past ◽

Number Of Patients ◽

Daily Dose ◽

Equity Ownership

Abstract Background: PV is a myeloproliferative neoplasm characterized by increased red cell mass and elevated hematocrit. Phlebotomy represents the initial treatment option to lower hematocrit with the goal of reducing the risk of thrombosis. However, many patients require cytoreductive therapy, HU being the most commonly used treatment. Based on European LeukemiaNet (ELN) guidelines, response to PV therapies includes clinicohematologic response (CHR) which is based on several laboratory parameters (hematocrit values, platelet count, white blood cell count) as well as disease-related symptoms. The aim of this study was to investigate the treatment patterns, outcomes, and unmet medical needs among patients with PV treated with HU in a real-world setting. Methods: A retrospective chart review of PV patients was conducted in the United States between April-July 2014. Oncologists and hematologists abstracted data from patient charts into an online survey. Physicians were eligible to participate if they spent ≥50% of their time on direct patient care and had ≥5 PV patients under their care in the past 12 months with at least 25% of whom had prior (if not current) HU experience. Initial individual qualitative interviews with a subset of eligible physicians (N=19) were conducted to inform the design of the survey instrument. A pilot test survey with 28 physicians meeting eligibility was conducted to demonstrate feasibility and included in the final analyses. Inclusion criteria for patient charts were: age≥18 years, alive at time of chart abstraction or deceased within the past 6 months, diagnosed with PV 3-15 years ago, received HU therapy for ≥2 months within the last 5 years, had medical record data 12 months pre- and post-HU initiation, and were not part of a PV-related clinical trial. Treatment history, lab values, disease symptoms, and healthcare resource utilization data were collected and reported descriptively. Results: A total 329 physicians participated (Hem Oncs=78.1%, Med Oncs=15.5%, and hematologists=6.4%) and provided information on 1309 PV patients. Almost two-thirds (62.3%) of patients were male, mean age was 62.5 years (SD=12.2), and mean time since diagnosis was 5.2 years (SD=2.8). Among those currently on HU therapy (n=1,080; 82.5%), mean duration of therapy was 47.0 months (SD=30.8) and mean daily dose was 984 mg (SD=674 mg). A total of 229 (17.5%) of patients had discontinued HU therapy. Prior to discontinuing HU treatment, mean therapy duration was 23.2 months (SD=24.5), and mean daily dose immediately prior to discontinuing was 991 mg (SD=689 mg); 27.3% (n=183) of patients had a dose adjustment in the 3 months prior to discontinuing (range: 1-8 adjustments). The most common reasons for HU discontinuation were elevated hematocrit (23.1%) and the presence of drug-related side effects (21.8%) (Figure 1). Among those currently on HU, a significant proportion had elevated blood counts above ELN response thresholds: 34.4% had hematocrit level ≥45%, 59.4% had platelet levels >400x109/L, and 58.2% had WBC >10x109/L. Two-thirds (66.3%) of patients had at least one elevated value, 40.3% had at least two elevated values, and 19.8% had all three elevated. The most commonly observed PV-related signs and symptoms were fatigue (62.2%) and splenomegaly (57.3%). Furthermore, among patients currently on HU therapy, almost half (46.2%) experienced new PV-related symptoms in the past 12 months, the most common of which fatigue (22.7%) and splenomegaly (19.5%) in the past 12 months. Conclusions: In our study, a significant number of patients with PV discontinued HU therapy due to a lack of effectiveness or tolerability. Of those still on HU therapy, the majority did not achieve ELN response criteria for CHR. Furthermore, nearly half of the patients experienced new PV-related symptoms fatigue and splenomegaly despite HU treatment. Consistent with other reports, these study findings demonstrate that despite HU treatment, many patients continue to have uncontrolled PV. These data further support the significant unmet medical need in PV, including the need for more effective treatment options. Figure 1. Reasons for discontinuation among those who discontinued HU (N=229). Figure 1. Reasons for discontinuation among those who discontinued HU (N=229). Disclosures Parasuraman: Incyte Corporation: Employment, Equity Ownership. Off Label Use: Ruxolitinib is a JAK1/JAK2 inhibitor approved for the treatment of patients with intermediate or high-risk myelofibrosis, including primary myelofibrosis, post polycythemia vera myelofibrosis, and post-essential thrombocythemia myelofibrosis. DiBonaventura:Incyte Corporation: Research Funding. Reith:Incyte Corporation: Employment, Equity Ownership. Concialdi:Incyte Corporation: Research Funding.

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Examining the Clinical Features and Underlying Cardiovascular Risk Among Patients with Polycythemia Vera in the REVEAL Study

Blood ◽

10.1182/blood.v128.22.1934.1934 ◽

2016 ◽

Vol 128 (22) ◽

pp. 1934-1934 ◽

Cited By ~ 1

Author(s):

Brady L. Stein ◽

Ahmad Naim ◽

Michael R. Grunwald ◽

Alison R. Moliterno ◽

Stephen T. Oh ◽

...

Keyword(s):

Risk Factors ◽

Board Of Directors ◽

Research Funding ◽

Clinical Characteristics ◽

The United States ◽

Employment Equity ◽

Advisory Committees ◽

Reveal Study ◽

History Of ◽

Equity Ownership

Abstract Background:Patients with polycythemia vera (PV) often present with a broad range of clinical characteristics that may contribute to increased risks of cardiovascular (CV) morbidity and mortality, including thrombotic events (TE). Limited contemporary real-world data have been reported about the clinical burden of PV and treatment patterns in the United States. The ongoing REVEAL study collects data on disease burden, clinical management, patient-reported outcomes, and healthcare resource utilization for patients with PV in the United States. This analysis reports clinical characteristics, including underlying CV risk factors, for patients enrolled in the REVEAL study as of April 28, 2016. Methods: REVEAL is a multicenter, nonrandomized, prospective, observational study enrolling patients ≥18 years of age with a PV diagnosis who are actively managed in an academic or community setting. For this analysis, data regarding PV disease and diagnosis, clinical characteristics, and treatment patterns were collected at enrollment during usual-care visits and were based on physician assessment, electronic medical records, and local laboratory values. Ten-year CV risk factors selected for this analysis were adapted from the Framingham Heart Study for CV diseases. Results: At data cutoff, 2307 patients were available for this analysis. Mean (SD) age was 66.3 (12.2) years, 54.4% were male, 89.9% were white, 62.7% had at least some college education, and 51.1% were retired. Approximately 6% of patients had a family history of PV, primarily in parents (35.1%) and siblings (33.8%). A history of second malignancies was reported for 344 patients (14.9%). The majority of patients (84.6%) were diagnosed with PV based on an abnormal blood test alone or in combination with a bone marrow test. Among patients who were diagnosed with a mutational test (n=1078), 95.2% were diagnosed via an abnormal JAK2V617F test result. Abnormal hemoglobin (57.3%), hematocrit (55.4%), or both (47.5%) were among the most common blood values assessed for PV diagnosis. At diagnosis, 58.5% of patients were classified with high-risk PV (age ≥60 years or history of a TE); this percentage increased to 77.3% at REVEAL enrollment. The average (SD) disease duration from diagnosis to enrollment was 5.8 (6.1) years. At enrollment, 91.5% of patients were under active management for PV (phlebotomy ± aspirin, 34.0%; hydroxyurea ± aspirin, 27.0%; and phlebotomy + hydroxyurea ± aspirin, 23.2%). Underlying CV risk factors that were either diagnosed or treated in 86.0% of enrolled patients included hypertension (66.5%), history of smoking (46.2%), current smoking at enrollment (10.9%), obesity (34.2%), hyperlipidemia (27.4%), and diabetes (14.8%). At enrollment, 431 (18.7%) patients reported having ≥1 TE, including 181 patients who had a TE between PV diagnosis and enrollment. Venous and arterial TEs were reported in 11.1% and 8.6% of patients, respectively. Most commonly reported venous TEs were deep vein thrombosis (5.9%) and pulmonary embolism (2.5%); most common arterial TEs were cerebrovascular arterial thrombosis including transient ischemic attack (5.1%) and acute myocardial infarction (1.7%). Increased rates of TEs were observed among patients with hyperlipidemia (23.6%) and hypertension (21.0%; Table 1), compared with patients who did not have any risk factors (10.5%). Conclusion: A large proportion of patients in the REVEAL study had 1 or more underlying CV risks, including age, hypertension, smoking, obesity, hyperlipidemia, and diabetes, which may contribute to the risk of thrombosis. Longitudinal data from REVEAL will provide a better understanding of how these factors affect CV outcomes over time. Disclosures Stein: Incyte Corporation: Membership on an entity's Board of Directors or advisory committees, Research Funding. Naim:Incyte Corporation: Employment, Equity Ownership. Grunwald:Janssen: Research Funding; Forma Therapeutics: Research Funding; Medtronic: Equity Ownership; Alexion: Membership on an entity's Board of Directors or advisory committees; Ariad: Membership on an entity's Board of Directors or advisory committees; Amgen: Research Funding; Incyte Corporation: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding. Oh:Incyte Corporation: Membership on an entity's Board of Directors or advisory committees, Research Funding; Gilead: Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Research Funding; CTI: Research Funding. Paranagama:Incyte Corporation: Employment, Equity Ownership. Cordaro:Incyte Corporation: Employment, Equity Ownership. Sun:Incyte Corporation: Employment, Equity Ownership. Parasuraman:Incyte Corporation: Employment, Equity Ownership. Boccia:Celgene: Consultancy, Honoraria, Speakers Bureau; Amgen/Onyx: Consultancy, Honoraria, Speakers Bureau; Gilead: Speakers Bureau; Genentech: Consultancy, Honoraria, Speakers Bureau; Eisai: Consultancy, Honoraria, Speakers Bureau. Mesa:Ariad: Consultancy; CTI: Research Funding; Gilead: Research Funding; Galena: Consultancy; Novartis: Consultancy; Promedior: Research Funding; Celgene: Research Funding; Incyte Corporation: Research Funding.

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Treatment Patterns and Outcomes in Elderly Patients with Newly Diagnosed Multiple Myeloma: Results from the Connect® MM Registry

Blood ◽

10.1182/blood-2019-126205 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 3129-3129

Author(s):

Hans C. Lee ◽

Sikander Ailawadhi ◽

Cristina Gasparetto ◽

Sundar Jagannath ◽

Robert M. Rifkin ◽

...

Keyword(s):

Board Of Directors ◽

Research Funding ◽

Causes Of Death ◽

Age Groups ◽

Treatment Patterns ◽

Age Group ◽

Newly Diagnosed ◽

Employment Equity ◽

Advisory Committees ◽

Equity Ownership

Background: Multiple myeloma (MM) is common among the elderly, with 35% of patients (pts) diagnosed being aged ≥75 years (y). With increasing overall life expectancy, the incidence and prevalence of newly diagnosed and previously treated MM patients ≥80 y is expected to increase over time. Because elderly pts are often excluded from clinical trials, data focused on their treatment patterns and clinical outcomes are lacking. The Connect® MM Registry (NCT01081028) is a large, US, multicenter, prospective observational cohort study of pts with newly diagnosed MM (NDMM) designed to examine real-world diagnostic patterns, treatment patterns, clinical outcomes, and health-related quality of life patient-reported outcomes. This analysis reviews treatment patterns and outcomes in elderly pts from the Connect MM Registry. Methods: Pts enrolled in the Connect MM registry at 250 community, academic, and government sites were included in this analysis. Eligible pts were adults aged ≥18 y with symptomatic MM diagnosed ≤2 months before enrollment, as defined by International Myeloma Working Group criteria; no exclusion criteria were applied. For this analysis, pts were categorized into 4 age groups: <65, 65 to 74, 75 to 84, and ≥85 y. Pts were followed from time of enrollment to the earliest of disease progression (or death), loss to follow-up, or data cutoff date of February 7, 2019. Descriptive statistics were used for baseline characteristics and treatment regimens. Survival outcomes were analyzed using Cox regression. Time to progression (TTP) analysis excluded causes of death not related to MM. Results: Of 3011 pts enrolled (median age 67 y), 132 (4%) were aged ≥85 y, and 615 (20%) were aged 75-84 y at baseline. More pts aged ≥85 y had poor prognostic factors such as ISS stage III disease and reduced hemoglobin (<10 g/dL or >2 g/dL <LLN) compared with other age groups, although no notable differences between creatinine and calcium levels were observed across age groups (Table). A lower proportion of elderly pts (75-84 and ≥85 y) received triplet regimens as frontline therapy. More elderly pts received a single novel agent, whereas use of 2 novel agents was more common in younger pts (Table). The most common frontline regimens among elderly pts were bortezomib (V) + dexamethasone (D), followed by lenalidomide (R) + D, whereas those among younger pts included RVD, followed by VD and CyBorD (Table). No pt aged ≥85 y, and 4% of pts aged 75-84 y received high-dose chemotherapy and autologous stem cell transplant (vs 61% in the <65 y and 37% in the 65-74 y age group). The most common maintenance therapy was RD in pts ≥85 y (although the use was low) and R alone in other age groups (Table). In the ≥85 y group, 27%, 10%, and 4% of pts entered 2L, 3L, and 4L treatments respectively, vs 43%, 23%, and 13% in the <65 y group. Progression-free survival was significantly shorter in the ≥85 y age group vs the 75-84 y age group (P=0.003), 65-74 y age group (P<0.001), and <65 y age group (P<0.001; Fig.1). TTP was significantly shorter in the ≥85 y group vs the <65 y group (P=0.020); however, TTP was similar among the 65-74 y, 75-84 y, and ≥85 y cohorts (Fig. 2). Overall survival was significantly shorter in the ≥85 y group vs the 75-84 y, 65-74 y, and <65 y groups (all P<0.001; Fig. 3). The mortality rate was lowest (46%) during first-line treatment (1L) in pts aged ≥85 y (mainly attributed to MM progression) and increased in 2L and 3L (47% and 54%, respectively); a similar trend was observed in the younger age groups. The main cause of death was MM progression (29% in the ≥85 y vs 16% in the <65 y group). Other notable causes of death in the ≥85 y group included cardiac failure (5% vs 2% in <65 y group) and pneumonia (5% vs 1% in <65 y group). Conclusions: In this analysis, elderly pts received similar types of frontline and maintenance regimens as younger pts, although proportions varied with decreased use of triplet regimens with age. Considering similarities in TTP across the 65-74 y, 75-84 y, and ≥85 y cohorts, these real-world data support active treatment and aggressive supportive care of elderly symptomatic pts, including with novel agents. Additionally, further clinical studies specific to elderly patients with MM should be explored. Disclosures Lee: Amgen: Consultancy, Research Funding; GlaxoSmithKline plc: Research Funding; Sanofi: Consultancy; Daiichi Sankyo: Research Funding; Celgene: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Janssen: Consultancy, Research Funding. Ailawadhi:Janssen: Consultancy, Research Funding; Takeda: Consultancy; Pharmacyclics: Research Funding; Amgen: Consultancy, Research Funding; Celgene: Consultancy; Cellectar: Research Funding. Gasparetto:Celgene: Consultancy, Honoraria, Other: Travel, accommodations, or other expenses paid or reimbursed ; Janssen: Consultancy, Honoraria, Other: Travel, accommodations, or other expenses paid or reimbursed ; BMS: Consultancy, Honoraria, Other: Travel, accommodations, or other expenses paid or reimbursed . Jagannath:AbbVie: Consultancy; Merck & Co.: Consultancy; Bristol-Myers Squibb: Consultancy; Karyopharm Therapeutics: Consultancy; Celgene Corporation: Consultancy; Janssen Pharmaceuticals: Consultancy. Rifkin:Celgene: Membership on an entity's Board of Directors or advisory committees; Takeda: Membership on an entity's Board of Directors or advisory committees; Amgen: Membership on an entity's Board of Directors or advisory committees. Durie:Amgen, Celgene, Johnson & Johnson, and Takeda: Consultancy. Narang:Celgene: Speakers Bureau. Terebelo:Celgene: Honoraria; Jannsen: Speakers Bureau; Newland Medical Asociates: Employment. Toomey:Celgene: Consultancy. Hardin:Celgene: Membership on an entity's Board of Directors or advisory committees. Wagner:Celgene: Consultancy, Membership on an entity's Board of Directors or advisory committees; American Cancer Society: Other: Section editor, Cancer journal. Omel:Celgene, Takeda, Janssen: Other: Patient Advisory Committees. Srinivasan:Celgene: Employment, Equity Ownership. Liu:TechData: Consultancy. Dhalla:Celgene: Employment. Agarwal:Celgene Corporation: Employment, Equity Ownership. Abonour:BMS: Consultancy; Celgene: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Janssen: Consultancy, Research Funding.

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Steady-State Imatinib Trough Levels as Well as Dose Interruptions Are Associated with Clinical Response (CCyR and MMR) and Adverse Events (AEs) in Patients with Chronic Myeloid Leukemia (CML) Receiving IM as Frontline Therapy.

Blood ◽

10.1182/blood.v114.22.2213.2213 ◽

2009 ◽

Vol 114 (22) ◽

pp. 2213-2213

Author(s):

Richard A. Larson ◽

Yen Lin Chia ◽

Camille Granvil ◽

François Guilhot ◽

Brian J. Druker ◽

...

Keyword(s):

Steady State ◽

Clinical Response ◽

Cumulative Dose ◽

Research Funding ◽

Risk Scores ◽

Employment Equity ◽

Risk Patients ◽

Equity Ownership ◽

Grade 3 ◽

Trough Levels

Abstract Abstract 2213 Poster Board II-190 Background: Correlations between IM trough plasma levels (Cmin) and clinical response have been previously reported [Picard et al. Blood 2007; Larson et al. (IRIS) Blood 2008; Guilhot et al. (TOPS) ASH 2008]. This analysis correlates IM Cmin on Day 29 of initial treatment with complete cytogenetic response (CCyR) and major molecular responses (MMR) at 12 months and with cumulative Grade 3&4 toxicity over 12 months based on data pooled from 2 studies, IRIS (400 mg qd) and TOPS (400 mg bid (800 mg/daily) vs 400 mg qd), in newly diagnosed, previously untreated, Ph+ CML-CP. Methods: Steady-state Cmin was defined as predose blood level collected within ±3 hours of the scheduled dosing time on Day 29 without any dose interruptions within 5 days prior to PK sampling. The correlation between IM Cmin and CCyR and MMR at 12 months was studied by two approaches: 1) analysis of outcomes by quartile groups based on patients' IM Cmin levels; 2) logistic regression analysis with Cmin as a continuous variable plus Sokal risk scores and cumulative days with any dose interruptions during the initial 12 months. Safety parameters included Grade 3&4 AEs, as well as all frequently-occurring (>10%) AEs of any grade that occurred during the 12 months. Patients with missing covariates were excluded. Results: Steady-state IM Cmin trough levels were available in 526 patients: 319 in IRIS and 207 from TOPS. At the time of assessment most patients received either 400 mg or 800 mg; 8 patients received reduced doses (6 at 300 mg; 2 at 600 mg). The median IM Cmin [25-75% quartiles] for 400 mg in the pooled dataset was 943 ng/mL [688-1280 ng/mL], and that for 800 mg was 2910 ng/mL [2333-3900 ng/mL]. IM Cmin showed large inter-patient variability for both 400 mg and 800 mg dose groups (52.7% and 39.9%, respectively). Both CCyR and MMR rates at 12 months were significantly correlated with IM Cmin on Day 29. Besides Cmin on Day 29, Sokal risk scores and cumulative dose interruptions (due either to treatment-related toxicities or non-adherence) were significant covariates for 12 month CCyR and MMR. Patients with high Sokal scores (H) had lower CCyR and MMR rates than those with low Sokal scores (L), 64% (H), 69% (intermediate (I)), and 83% (L), respectively, for CCyR, and 37%, 48%, and 59%, respectively, for MMR. Response rates at 12 months were significantly lower for patients with cumulative dose interruptions > 28 days (in the first 12 months): 45% vs 76% for CCyR, and 27% vs 48% for MMR. Modeling predicts that at a Cmin level of 1000 ng/mL and assuming no or minimal dose interruptions, the CCyR at 12 months would be 85%, 78%, and 68% for L, I, and H Sokal risk patients, respectively, and for MMR 55%, 45% and 36%, respectively. If the Cmin were 2000 ng/mL, the CCyR at 12 months would be 93%, 89%, and 83% for L, I, and H Sokal risk patients, respectively, and for MMR 65%, 55% and 44%, respectively. The predicted CCyR and MMR would be lower if there were dose interruptions. Patients who had Grade 3&4 AEs over first 12 months period (n=136) had a higher IM Cmin on Day 29 (median [25-75% quartiles], 1985 [982-2943] ng/mL vs 1010 [728-1468] ng/mL, P<0.001), than those without (n=390) as well as longer cumulative dose interruptions (20 [8-41] days vs 0 [0-2] days, P<0.001), lower CCyR rate (66%; 77/117 vs 75%; 277/369, P=0.05), and lower MMR rate (37%; 49/131 vs 48%; 155/323, P=0.006). Most Grade 3&4 AEs were treatment-related hematologic AEs with median times to onset between 50-63 days. Regression analysis showed the correlation between hematologic Grade 3&4 AEs and IM Cmin level for the population (Figure). Among all-grade non-hematologic AEs, rash and vomiting were associated with higher IM Cmin levels. Conclusion: IRIS+TOPS pooled data confirmed earlier findings that higher steady-state IM levels correlate with better CCyR and MMR responses but also with more Grade 3&4 treatment-related toxicities. Dose interruptions compromise CCyR and MMR rates at 12 months. IM Cmin levels provide additional information together with clinical response and tolerability to inform dose changes for individual patients. Disclosures: Larson: Novartis: Consultancy, Honoraria, Research Funding. Chia:Novartis: Employment. Granvil:Novartis: Employment. Guilhot:Novartis: Consultancy, Honoraria, Research Funding; BMS: Consultancy, Honoraria. Druker:OHSU patent #843 - Mutate ABL Kinase Domains: Patents & Royalties; MolecularMD: Equity Ownership; Roche: Consultancy; Cylene Pharmaceuticals: Consultancy; Calistoga Pharmaceuticals: Consultancy; Avalon Pharmaceuticals: Consultancy; Ambit Biosciences: Consultancy; Millipore via Dana-Farber Cancer Institute: Patents & Royalties; Novartis, ARIAD, Bristol-Myers Squibb: Research Funding. O'Brien:Novartis: Consultancy, Honoraria, Research Funding; BMS: Consultancy, Honoraria, Research Funding; Wyeth: Research Funding. Baccarani:Novartis Pharma: Consultancy, Honoraria, Research Funding, Speakers Bureau; Bristol-Mayer Squibb: Consultancy, Honoraria, Research Funding, Speakers Bureau. Hughes:Bristol-Myers Squibb: Advisor, Honoraria, Research Funding; Novartis: Advisor, Honoraria, Research Funding. Nedelman:Novartis: Employment, Equity Ownership. Wang:Novartis: Employment, Equity Ownership.

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Validation of the Inhospital Mortality for Pulmonary Embolism Using Claims Data (IMPACT) Prediction Rule within an All-Payer Inpatient Administrative Claims Database

Blood ◽

10.1182/blood.v126.23.747.747 ◽

2015 ◽

Vol 126 (23) ◽

pp. 747-747

Author(s):

Craig I Coleman ◽

Christine G Kohn ◽

Concetta Crivera ◽

Jeff Schein ◽

W Frank Peacock

Keyword(s):

Pulmonary Embolism ◽

Hospital Mortality ◽

Research Funding ◽

Prediction Rule ◽

Low Risk ◽

Administrative Claims ◽

Claims Database ◽

Impact Prediction ◽

Risk Patients ◽

Equity Ownership

Background: Current guidelines suggest that low risk pulmonary embolism (PE) patients may be managed as outpatients or with an abbreviated hospital stay. There is need for a claims-based prediction rule that payers and hospitals can use to efficiently risk stratify PE patients. The authors recently derived a rule found to have high sensitivity and moderate specificity for predicting in-hospital mortality. Objective: To validate the In-hospital Mortality for PulmonAry embolism using Claims daTa (IMPACT) prediction rule originally developed in a commercial claims database in an all-payer administrative database restricted to inpatient claims. Methods: This study utilized data from the 2012 Healthcare Cost and Utilization Project Nationwide Inpatient Sample (NIS). Adult PE admissions were identified by the presence of an appropriate International Classification of Diseases, ninth edition, Clinical Modification (ICD-9-CM) code either in the primary position or secondary position when accompanied by a primary code for a PE complication. The IMPACT rule, consists of age + 11 weighted comorbidities calculated based upon the maximum of 25 ICD-9-CM diagnosis codes and 25 procedural codes reported for each discharge in the NIS (myocardial infarction, chronic lung disease, stroke, prior major bleeding, atrial fibrillation, cognitive impairment, heart failure, renal failure, liver disease, coagulopathy, cancer), and was used to estimate patients' risk of in-hospital mortality. Low risk was defined as in-hospital mortality ≤1.5%. We present the validity of the rule by calculating prognostic test characteristics and 95% confidence intervals (CIs). In order to estimate the potential cost savings from an early discharge, we calculated the difference in total hospital costs between low-risk patients having and not having an abbreviated hospital stay (defined as ≤1, ≤2 or ≤3 days). Results: A total of 34,108 admissions for PE were included (46.7% male, mean ± standard deviation age of 61.9±17.2); and we observed a 3.4% in-hospital PE case-fatality rate. The IMPACT prediction rule classified 11,025 (32.3%) patient admissions as low-risk; and had a sensitivity of 92.4% (95%CI=90.7-93.8), specificity of 33.2% (95%CI=32.7-33.7), negative and positive predictive values of 99.2% (95%CI=99.0-99.4) and 4.6% (95%CI=4.4-4.9) and a C-statistic of 0.74 (95%CI=0.73-0.76) for in-hospital mortality. Low-risk patients had significantly lower in-hospital mortality (0.8% vs. 4.6%, odds reduction of 83%; 95%CI=79-87), shorter LOSs (-1.2 days, p<0.001) and lower total treatment costs (-$3,074, p<0.001) than patients classified as higher-risk. Of low-risk patients, 13.1%, 31.1% and 47.7% were discharged within 1, 2 and 3 days of admission. Low-risk patients discharged within 1 day accrued $5,465 (95%CI=$5,018-$5,911) less in treatment costs than those staying longer. Discharge within 2 or 3 days in low-risk patients was also associated with a reduced cost of hospital treatment [$5,820 (95%CI=$5,506-$6,133) and $6,314 (95%CI=$6,031-$6,597), respectively] when compared to those staying longer. Conclusion: The prior claims-based in-hospital mortality prediction rule was valid when used in this all-payer, inpatient only administrative claims database. The rule classified patients' mortality risk with high sensitivity and had a high negative predictive value; and consequently, may be valuable to those wishing to benchmark rates of PE treated at home or following an abbreviated hospital admission. Disclosures Coleman: Janssen Scientific Affairs, LLC: Consultancy, Research Funding. Crivera:Janssen Scientific Affairs, LLC: Employment, Equity Ownership. Schein:Janssen Scientific Affairs, LLC: Employment. Peacock:Singulex: Consultancy; Prevencio: Consultancy; The Medicines Company: Consultancy, Research Funding; Roche: Consultancy, Research Funding; Portola: Consultancy, Research Funding; Janssen Pharmaceuticals: Consultancy, Research Funding; Cardiorentis: Research Funding; Banyan: Research Funding; Alere: Research Funding; Abbott: Research Funding; Comprehensive Research Associates, LLC: Equity Ownership; Emergencies in Medicine, LLC: Equity Ownership.

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A Phase 1b Study Investigating Carfilzomib Administered Once Weekly in Combination with Lenalidomide and Dexamethasone in Patients with Multiple Myeloma

Blood ◽

10.1182/blood.v128.22.3322.3322 ◽

2016 ◽

Vol 128 (22) ◽

pp. 3322-3322

Author(s):

Noa Biran ◽

David S. Siegel ◽

Jesus G. Berdeja ◽

Edward Faber ◽

Lasika Seneviratne ◽

...

Keyword(s):

Multiple Myeloma ◽

Research Funding ◽

Response Rates ◽

The United States ◽

Median Number ◽

Employment Equity ◽

Dose Evaluation ◽

Phase 1B ◽

Equity Ownership ◽

Grade 3

Abstract Background: The combination of carfilzomib with lenalidomide and dexamethasone (KRd) is approved in the United States and the European Union (EU) for the treatment of patients with relapsed or refractory multiple myeloma (RRMM). Under these approvals, carfilzomib is administered twice weekly as a 10-minute intravenous (IV) infusion at a dose of 20/27 mg/m2. The phase 1/2 CHAMPION-1 study showed that once-weekly carfilzomib (20/70 mg/m2; 30-minute IV infusion) with dexamethasone was well tolerated and active in patients with RRMM (Berenson et al. Blood. 2016;127:3360−3368). We present initial results from the dose evaluation component of a phase 1b study (NCT02335983) assessing the safety and efficacy of once-weekly carfilzomib with lenalidomide and dexamethasone in patients with MM. Methods: This is an open-label, multicenter, dose-finding, phase 1b study.The primary objective of the study is to evaluate the safety and tolerability of a once-weekly KRd regimen. Secondary objectives included evaluation of the efficacy of a once-weekly KRd regimen. This study consists of 2 parts: a dose-evaluation component in patients with RRMM and a dose-expansion component in both RRMM and newly diagnosed MM (NDMM). Results from the ongoing dose-evaluation component in RRMM are presented. There were 2 planned dose cohorts in the dose-evaluation portion of the study: carfilzomib 56 mg/m2 KRd cohort (56 mg/m2) and carfilzomib 70 mg/m2 KRdcohort (70 mg/m2). All patients received carfilzomib (days 1, 8, and 15), lenalidomide 25 mg (days 1 - 21), and dexamethasone 40 mg (days 1, 8, 15 and 22) on a 28-day cycle (dexamethasone was not administered on day 22 for cycles 9+). Carfilzomib was administered as a 30-minute IV infusion: 20 mg/m2 on cycle 1 day 1 with escalation to the assigned dose level (56 or 70 mg/m2) thereafter. The protocol allowed 8 DLT-evaluable patients to be treated in the 56 mg/m2 and 70 mg/m2 cohorts. Response was assessed by investigators using International Myeloma Working Group Uniform Response Criteria. The data cutoff date for this analysis was June 23, 2016. Results: A total of 22 patients (56 mg/m2, n=10; 70 mg/m2, n=12) with a median age of 69 (range, 50-87) years were enrolled in the dose evaluation component of the study. The median number of prior regimens was 1 (range, 1 - 3) in both cohorts. There were no dose-limiting toxicities observed in any of the 15 dose-evaluable RRMM patients (56 mg/m2 cohort, n=8; 70 mg/m2 cohort, n=7). The median number of cycles started as of data cutoff was 9.5 (range, 3-15) in the 56 mg/m2 cohort and 6.0 (range, 2-9) in the 70 mg/m2 cohort. All patients experienced at least 1 treatment-emergent adverse event (AE). Grade ≥3 AEs occurring in ≥9% of patients, and any AE of interest are shown in Table 1. The only grade ≥3 AEs to occur in ≥2 patients (≥9%) were thrombocytopenia (56 mg/m2, n=2; 70 mg/m2, n=1), decreased neutrophil count (56 mg/m2, n=2; 70 mg/m2, n=1), anemia (56 mg/m2, n=2), and hypertension (56 mg/m2, n=1; 70 mg/m2, n=1). Although the numbers were small, there was no apparent difference in the incidence of dyspnea or hypertension between the 56 and 70 mg/m2 cohorts. Cardiac or renal failure of any grade was not reported at the time of the database snapshot in these patients with RRMM. Response rates after 4 cycles, as assessed by investigators, are shown in Table 2. Two patients in the 56 mg/m2 cohort did not complete 4 cycles: an 87-year old patient developed asymptomatic pulmonary hypertension (detected on a required echocardiogram study) and was taken off therapy; another patient withdrew consent. One patient in the 70 mg/m2 cohort had a partial response after cycle 1 but was found to have progressive disease in cycle 3 (listed as did not complete 4 cycles in Table 2). After 4 cycles, the response rates (investigator assessed), were 70% and 75% in the 56 and 70 mg/m2 cohorts (response assessment for 2 patients in the 70 mg/m2 cohort was missing at the time of the data cutoff). Conclusions: These results demonstrate that carfilzomib administered in a convenient once-weekly schedule in combination with lenalidomide and dexamethasone in patients with RRMM is safe with promising efficacy. The 70 mg/m2 dosing was selected for dose-expansion cohorts in RRMM and NDMM. An update on the expansion cohorts will be presented at the meeting. Disclosures Biran: Onyx: Consultancy, Speakers Bureau; Celgene: Consultancy, Speakers Bureau. Siegel:Novartis: Honoraria, Speakers Bureau; Amgen: Honoraria, Speakers Bureau; Merck: Honoraria; BMS: Honoraria, Speakers Bureau; Celgene: Honoraria, Speakers Bureau; Takeda: Honoraria, Speakers Bureau. Berdeja:Abbvie, Acetylon, Amgen, Bluebird, BMS, Calithera, Celgene, Constellation, Curis, Epizyme, Janssen, Karyopharm, Kesios, Novartis, Onyx, Takeda, Tragara: Research Funding. Faber:Celgene: Speakers Bureau; Cardinal Health: Honoraria; Gilead: Consultancy, Honoraria. Seneviratne:Novartis Pharmaceuticals: Speakers Bureau. Alsina:Onyx: Speakers Bureau; Millenium Pharmaceuticals: Research Funding; Novartis: Research Funding; Signal Genetics: Consultancy; Onyx: Consultancy. Bensinger:Celgene: Consultancy, Honoraria, Research Funding, Speakers Bureau; Amgen: Honoraria, Research Funding, Speakers Bureau. Kimball:Amgen Inc.: Employment, Equity Ownership. Zhou:Amgen Inc.: Employment, Equity Ownership. Landgren:BMS: Honoraria; Takeda: Honoraria; Novartis: Honoraria; Amgen: Honoraria, Research Funding; Celgene: Honoraria, Research Funding.

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Treatment Patterns Among Adults with Newly Diagnosed Primary Immune Thrombocytopenia in the United States

Blood ◽

10.1182/blood-2018-99-117252 ◽

2018 ◽

Vol 132 (Supplement 1) ◽

pp. 497-497

Author(s):

Karynsa Cetin ◽

Leah J McGrath ◽

Robert Overman ◽

Diane Reams ◽

Anjali Sharma ◽

...

Keyword(s):

Cumulative Incidence ◽

Research Funding ◽

Rescue Therapy ◽

The United States ◽

Advisory Board ◽

Oral Steroid ◽

Newly Diagnosed ◽

Employment Equity ◽

The Us ◽

Equity Ownership

Abstract Introduction: Immune thrombocytopenia (ITP) is a rare platelet disorder that can lead to an increased tendency to bleed. Recommended first-line therapies include corticosteroids, intravenous immunoglobulin (IVIg) and intravenous (IV) anti-D. An estimated two-thirds of adult patients with ITP will develop persistent or chronic disease (ITP lasting 3-12 months or >12 months, respectively). Several evidence-based options for second-line treatment exist, but no randomized trials have directly compared one therapy to another. Patterns of treatment in routine clinical practice therefore vary. There is a paucity of data on current real-world treatment dynamics in ITP, and such data could help identify gaps in care and inform future studies of real-world comparative effectiveness and safety. We described the types of treatments administered following an ITP diagnosis, as well as the subsequent occurrence of bleeding and requirement for rescue therapy among adults being managed in routine practice in the United States (US). Methods: We used electronic health record data from hematology clinics across the US (Flatiron Health, Inc.) linked to MarketScan® employer-based and Medicare Supplemental administrative health insurance claims databases (Truven Health Analytics, Inc.). We included patients aged 18 years or older with a new ITP diagnosis from January 1, 2011 through June 30, 2016, continuous enrollment in MarketScan prior to diagnosis, and no previous diagnosis of a secondary cause of thrombocytopenia. The cumulative incidence of each ITP treatment after diagnosis was estimated using competing risk models to account for deaths occurring before initiation. Estimates were provided specifically for 90 days and 1 year following diagnosis to describe treatment uptake in the newly diagnosed and persistent phases, respectively. The incidence of bleeding events and rescue therapy was quantified after the start of the more prevalent second-line therapies: rituximab, splenectomy, and thrombopoietin receptor agonists (TPO RAs) - eltrombopag and romiplostim. Rescue therapies (those that rapidly increase platelet counts in the setting of severe thrombocytopenia or active bleeding) included IV anti-D, IVIg, IV steroids, and platelet transfusions. Results: Among the cohort of 447 adults diagnosed with primary ITP, 47% were male, 61% were white, 32% were 65 years or older, and the median lowest platelet count in the 60 days prior to diagnosis was 85x109/L (IQR: 39, 125). Use of each ITP therapy by 90 days and 12 months post-diagnosis are provided in the Table. Oral corticosteroids were the most commonly used; the cumulative incidence of initiation was 41% by 90 days and 50% by 1 year following ITP diagnosis. IV steroids and rituximab were the next most frequently used medications (16% and 11% at 90 days; and 26% and 16% by 1 year, respectively). The cumulative incidence of the TPO RAs, eltrombopag and romiplostim, by 90 days was 3% and 7%, respectively, and by 1 year was 5% and 9%, respectively. Splenectomy was relatively rare (<4% by 1 year) as was use of all other non-rescue ITP medications (≤1% by 1 year). At 180 days post-ITP treatment initiation, rituximab initiators (N = 84) had a slightly lower incidence of bleeding overall (12% [6, 20]) than the other treatment groups (17% [6, 33] among 31 eltrombopag initiators; 19% [9, 31] among 49 romiplostim initiators; and 19% [6, 38] among 21 splenectomized patients). However, rituximab initiators had the highest cumulative incidence of rescue therapy use (48% [36, 58] compared with 29% [14, 46] for eltrombopag, 26% [14, 39] for romiplostim, and 19% [6, 39] for splenectomized patients). Subsequent oral steroid use was less frequent among TPO RA initiators than rituximab initiators or patients who underwent splenectomy. Conclusions: In this descriptive study of patients with primary ITP receiving care in the US, oral steroids were the most commonly used medication after diagnosis, reflecting their continued role as a frontline therapy. By 1 year after diagnosis, approximately 15% received rituximab, nearly 10% received romiplostim, and 5% received eltrombopag. Splenectomy was less common. Among the medical treatments, although bleeding risk overall appeared lowest in rituximab patients, oral steroid and rescue therapy use were lowest among the patients who initiated TPO RAs. Table. Table. Disclosures Cetin: Amgen Inc: Employment, Equity Ownership. Sharma:Amgen: Employment, Equity Ownership. Brookhart:Amgen Inc: Consultancy, Research Funding; NoviSci: Equity Ownership; Union Chimique Belge: Consultancy; GlaxoSmithKline: Consultancy; Merck: Consultancy; Genentech: Consultancy; TargetPharma: Consultancy; RxAnte: Consultancy; AstraZeneca: Research Funding. Altomare:Genentech: Consultancy; Ipsen: Other: Advisory Board Member; Amgen: Consultancy; Celgene: Other: Advisory Board Member; Novartis: Consultancy; Bayer: Consultancy; Incyte: Consultancy. Wasser:Amgen Inc: Consultancy; Novartis: Consultancy; Becton Dickinson: Equity Ownership; Abbott Labs: Equity Ownership; Biogen: Equity Ownership; Allergan: Equity Ownership; Eli Lilly: Equity Ownership; Incyte: Research Funding; Merck: Equity Ownership, Research Funding; Pfizer: Equity Ownership, Research Funding; Guardant: Research Funding.

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A Novel Prognostic Model That Is Superior to FLIPI-1 and FLIPI-2 and Integrates Clinical and Treatment Factors to Predict Progression-Free Survival and Early Treatment Failure in Patients with Follicular Lymphoma in the GALLIUM Trial

Blood ◽

10.1182/blood-2018-99-114620 ◽

2018 ◽

Vol 132 (Supplement 1) ◽

pp. 2872-2872 ◽

Cited By ~ 2

Author(s):

Farheen Mir ◽

Andrew Grigg ◽

Michael Herold ◽

Wolfgang Hiddemann ◽

Robert Marcus ◽

...

Keyword(s):

High Risk ◽

Board Of Directors ◽

Research Funding ◽

Prognostic Model ◽

Low Risk ◽

Prognostic Variables ◽

Advisory Committees ◽

High Risk Disease ◽

Risk Patients ◽

Equity Ownership

Abstract Introduction: Progression of disease within 24 months of initial therapy (POD24) is associated with poor survival in patients with follicular lymphoma (FL). Existing prognostic models, such as FLIPI-1 and FLIPI-2, show poor sensitivity for POD24, and are derived from cohorts lacking bendamustine-treated patients. More accurate predictive models based on current standard therapies are needed to identify patients with high-risk disease. The Phase III GALLIUM trial (NCT01332968) compared the safety and efficacy of standard chemotherapy regimens plus rituximab (R) or obinutuzumab (G) in patients with previously untreated FL. Using GALLIUM data, we developed a novel risk stratification model to predict both PFS and POD24 in FL patients after first-line immunochemotherapy. Methods: Enrolled patients were aged ≥18 years with previously untreated FL (grades 1-3a), Stage III/IV disease (or Stage II with bulk), and ECOG PS ≤2, and required treatment by GELF criteria. Patients were randomized to receive either G- or R-based immunochemotherapy, followed by maintenance with the same antibody in responders. The chemotherapy arm (CHOP, CVP, or bendamustine) was selected by each study center. POD24 was defined as progressive disease or death due to disease within 24 months of randomization (noPOD24 = no progression or lymphoma-related death in that period). The most strongly prognostic variables, based on PFS hazard ratios, were estimated using penalized multivariate Cox regression methodology via an Elastic Net model. Selected variables were given equal weights, and a clinical score was formed by summating the number of risk factors for each patient. Low- and high-risk categories were determined using a cut-off that provided the best balance between true- and false-positives for PFS. PFS correlation and sensitivity to predict POD24 were assessed. The data used are from an updated GALLIUM efficacy analysis (data cut-off: April 2018; median follow-up: 57 months). Results: 1202 FL patients were enrolled. Based on data availability and biological plausibility (i.e. could reasonably be linked with high-risk disease), 25 potential clinical and treatment-related prognostic variables were entered into the Elastic Net model (Table). A model containing 11 factors was retained by the methodology and chosen as the best model (Table). Patients were categorized as 'low risk' if they scored between 0 and 3 (n=521/1000 patients with complete data) and as 'high risk' if they scored between 4 and 11 (n=479/1000 patients). At 2 years, the PFS rate was 84.5% in the whole FL population. Using our model, 2-year PFS for high-risk patients was 77% compared with 79.9% for FLIPI-1 and FLIPI-2. In low-risk patients, 2-year PFS was 92% compared with 87.9% for FLIPI-1 and 87.6% for FLIPI-2 (low-intermediate-risk patients). Our model increased the inter-group difference in 2-year PFS rate from 8% (FLIPI-1) and 7.7% (FLIPI-2) to 15%. At 3 years, the inter-group difference increased from 6.9% (FLIPI-1) and 9% (FLIPI-2) to 17% (Figure). Sensitivity for a high-risk score to predict POD24 was 73% using our model compared with 55% for FLIPI-1 and 52% for FLIPI-2 (based on 127 POD24 and 873 noPOD24 patients with complete data). Excluding patients who received CVP, which is now rarely used, resulted in an inter-group difference in PFS of 15% at 2 years and 16.8% at 3 years. A sensitivity analysis showed that inclusion of the 9 clinical factors only (i.e. removal of CVP and R treatment as variables) formed a more basic scoring system (low-risk patients, 1-3; high-risk patients, 4-9); the inter-group difference in PFS was 16.5% at 2 years and 17.6% at 3 years. However, sensitivity for POD24 decreased to 56%. Conclusion: Our clinical prognostic model was more accurate at discriminating patients likely to have poor PFS than either FLIPI-1 or FLIPI-2, and its prognostic value was sustained over time. Our model also identified the FL population at risk of POD24 with greater sensitivity. Variables such as age and bone marrow involvement were not retained by our model, and thus may not have a major impact in the current era of therapy. Factors such as sum of the products of lesion diameters were included, as this captures tumor burden more accurately than presence of bulk disease. Future studies will aim to improve the accuracy of the model by considering gene expression-based prognostic markers and DNA sequencing to form a combined clinico-genomic model. Disclosures Mir: F. Hoffmann-La Roche: Employment. Hiddemann:F. Hoffman-La Roche: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Celgene: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Bayer: Consultancy, Research Funding. Marcus:F. Hoffman-La Roche: Other: Travel support and lecture fees; Roche: Consultancy, Other: Travel support and lecture fees ; Gilead: Consultancy. Seymour:Genentech Inc: Consultancy, Membership on an entity's Board of Directors or advisory committees, Research Funding; Janssen: Honoraria, Research Funding; Celgene: Consultancy; AbbVie: Consultancy, Honoraria, Research Funding; F. Hoffmann-La Roche Ltd: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees. Bolen:Roche: Other: Ownership interests PLC*. Knapp:Roche: Employment. Launonen:Launonen: Other: Ownership interests none PLC; Travel, accommodation, expenses; Novartis: Consultancy, Equity Ownership, Other: Ownership interests none PLC; Travel. accommodation, expenses; Roche: Employment, Other: Travel, accommodation, expenses. Mattiello:Roche: Employment. Nielsen:F. Hoffmann-La Roche Ltd: Employment, Other: Ownership interests PLC. Oestergaard:Roche: Employment, Other: Ownership interests PLC. Wenger:F. Hoffmann-La Roche Ltd: Employment, Equity Ownership, Other: Ownership interests PLC. Casulo:Gilead: Honoraria; Celgene: Research Funding.

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