Cardiac Events in Real-World Multiple Myeloma Patients Treated with Carfilzomib: A Retrospective Claims Database Analysis

Abstract Introduction: Multiple myeloma (MM) is a hematologic cancer that mostly affects elderly patients who are at increased risk for development of cardiac-related comorbidities due to age-, disease-, and treatment-related factors. In real world data, approximately 25-30% of MM patients are hospitalized for a cardiac event after MM diagnosis (Kistler et al. American Society Hematology 2012 Annual Meeting, poster 2916). The proteasome inhibitor, carfilzomib, is approved for treatment of patients with relapsed or refractory MM. In carfilzomib clinical trials, grade 3 or higher cardiac failure was reported for ~4% of patients (Stewart et al. NEJM 2015;372:142-52, Dimopoulos et al. Lancet Oncol 2016;17:27-38). In this retrospective analysis, we sought to evaluate the incidence rate (IR) of cardiac events in MM patients treated with carfilzomib in a real-world setting in the US and to describe differences in baseline characteristics between carfilzomib-treated MM patients who do and do not have cardiac events. Methods: Newly-diagnosed MM patients with symptomatic disease were identified in the Truven MarketScan claims database from 1/1/05 to 6/30/15 using an algorithm validated for ascertainment of MM patients in claims data (Princic et al. Blood 2015;126:4521). All carfilzomib-treated patients were included in the analysis. The first dose of carfilzomib was the index date. The baseline period was 12 months prior to the MM diagnosis date to the index date. Cardiac events (hypertension, heart failure, ischemic heart disease, arrhythmias and conduction disorders, and cardiomyopathy) were identified during baseline by inpatient (IP) or outpatient (OP) claims and after index date by primary diagnosis on IP claims (hospitalized events). Logistic regression was used to estimate baseline covariates associated with any cardiac event. Due to sample size constraints, multivariate regression was not performed. The incidence rate (IR) per 1000 patient-years (PYRs) and associated 95% confidence interval (CI) of hospitalized cardiac events during carfilzomib treatment which included 30 days after the last carfilzomib dose were calculated among patients without a history of the corresponding hospitalized event during the baseline period. Results: The cohort included 498 MM patients treated with carfilzomib; 108 (22%) patients had ≥1 cardiac event identified by both IP and OP claims and 24 (5%) had ≥1 hospitalized cardiac event. Of the 24 hospitalized patients, 14 were hospitalized during carfilzomib treatment (median days to onset = 104) and 8 were hospitalized after carfilzomib treatment (>30 days post dosing; median days to onset = 284). The median age (range) of the 24 patients with hospitalized cardiac events and those with no hospitalized cardiac claims (n=474) was 62 (37, 79) and 61 (36, 96) years, respectively (Table). Baseline medical history of any cardiac event was evident for 92% of hospitalized patients and 84% of non-hospitalized patients. Among hospitalized patients, 25% were over 75 years as compared with 13% of non-hospitalized patients. In univariate analysis, patients with baseline amyloidosis, hypertensive chronic kidney disease, and chronic kidney disease had higher odds of having a hospitalized cardiac event. No significant differences were seen in the proportion of patients with or without a hospitalized cardiac event when evaluated by line of therapy or by carfilzomib treatment regimen (monotherapy or combination). Among patients aged 75+ years, 8.7% were hospitalized, while 2.5% and 4.9% of 65-74 and 18-64 year old patients were hospitalized, respectively (Table). IR per 1000 PYRs [95% CI] among the 14 carfilzomib-treated MM patients hospitalized for any cardiac event during the carfilzomib treatment period was 89.7 (49.0; 150.5) - see Figure for IRs of specific cardiac events. Conclusions: Among carfilzomib-treated patients in a US claims database, hospitalization for a cardiac event was uncommon (~5%) and does not exceed what has been observed in MM patients. Patients at highest risk for cardiac hospitalizations had a history of amyloidosis or chronic renal failure. Additional analyses in much larger populations are needed to better understand risk factors for these events. Disclosures Chari: Array Biopharma: Consultancy, Research Funding; Celgene: Consultancy, Research Funding; Amgen Inc.: Honoraria, Research Funding; Novartis: Consultancy, Research Funding; Takeda: Consultancy, Research Funding; Pharmacyclics: Research Funding; Janssen: Consultancy, Research Funding. Aggarwal:Amgen: Employment, Equity Ownership. Mezzi:Amgen Inc.: Employment, Equity Ownership. Wang:Amgen Inc.: Employment, Equity Ownership. Kim:Amgen Inc.: Employment, Equity Ownership. Zhu:Amgen Inc.: Consultancy. Braunlin:Amgen Inc.: Employment, Equity Ownership. Werther:Amgen Inc.: Employment, Equity Ownership. Mikhael:Abbvie: Research Funding; Celgene: Research Funding; Sanofi: Research Funding; Onyx: Research Funding.

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Bleeding Incidence Among Patients With Venous Thromboembolism: A Large US Insurance Database Analysis

Blood ◽

10.1182/blood.v122.21.2916.2916 ◽

2013 ◽

Vol 122 (21) ◽

pp. 2916-2916 ◽

Cited By ~ 1

Author(s):

Xianchen Liu ◽

Lin Xie ◽

Hemant Phatak ◽

Jack Mardekian ◽

Wilson Tan ◽

...

Keyword(s):

Heart Disease ◽

Venous Thromboembolism ◽

Major Bleeding ◽

Research Funding ◽

Index Date ◽

Bleeding Risk ◽

Employment Equity ◽

History Of ◽

Equity Ownership ◽

Insurance Database

Abstract Introduction It is crucial to assess clinical benefit and bleeding risk when selecting an anticoagulant for patients with venous thromboembolism (VTE). This study examined the incidence of major bleeding and non-major bleeding and clinical predictors of major bleeding among patients with VTE in the usual clinical practice setting. Methods VTE patients aged ≥18 years were identified from the Truven Health MarketScan commercial or Medicare supplemental insurance database. Index date was defined as the first VTE diagnosis between 07/01/2006 – 12/31/2011. Patients were required to have ≥2 VTE outpatient diagnoses within a 3-week window or have 1 VTE diagnosis in an inpatient setting, have a continuous health plan enrollment for 6 months prior to the index date (baseline), and have no VTE diagnosis in the baseline period. Major bleeding was defined as any bleeding that resulted in hospitalization or blood transfusion; all other bleeds were non-major bleeding. Patients were followed until major bleeding/non-major bleeding, death, disenrollment, or end of study. Multivariate Cox regression was used to examine factors associated with major bleeding. Results Of 267,655 eligible patients, 182,972 patients were with deep vein thrombosis (DVT) only (68.4%), 69,169 with pulmonary embolism (PE) only (25.8%); and 15,514 with both (5.8%). Mean age was 61.5 years, and 53.1% were female. Mean follow-up period was 17.3 months (median=12.1). The annual incidence of major bleeding and non-major bleeding were 3.9% and 20.1%, respectively. The median time to major bleeding from index VTE diagnosis was 2.2 months. Major risk factors at baseline for major bleeding (Risk increase>20%) were history of major bleeding (HR=10.78, 95%CI=10.30-11.28) and non-major bleeding (HR=1.61, 95%CI=1.54-1.68), chemotherapy (HR=1.27, 95%CI=1.20-1.35), age ≥65 vs.≤40 years (HR=1.27, 95%CI=1.18-1.37), alcohol abuse (HR=1.26, 95%CI=1.16-1.38), cancer (HR=1.25, 95%CI=1.19-1.31), and heart disease (HR=1.23, 95%CI=1.18-1.28) (Table). Baseline hormone therapy (HR=0.74, 95%CI=0.68-0.80) and pregnancy (HR=0.59, 95%CI=0.46-0.74) were associated with reduced risk for major bleeding. Conclusions Major and non-major bleeding were common in patients with VTE. Multiple factors, especially history of bleeding, age≥65 years, alcohol abuse, cancer and heart disease, were associated with increased risk for major bleeding. Further research needs to examine bleeding risk associated with anticoagulant therapy. Disclosures: Liu: Pfizer: Employment, Equity Ownership. Xie:StatInMed: Employment, Research Funding. Phatak:BMS: Employment, Equity Ownership. Mardekian:Pfizer: Employment, Equity Ownership. Tan:Pfizer: Employment, Equity Ownership. Baser:StatInMed: Employment, Research Funding. Ramacciotti:BMS: Employment, Equity Ownership.

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Health Resource Utilization and Costs Associated with the Use of Obinutuzumab-Based Regimens Are Similar to Rituximab-Based Regimens for the First-Line Treatment of Follicular Lymphoma

Blood ◽

10.1182/blood-2019-123408 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 4721-4721

Author(s):

Tu My To ◽

Keith L. Dawson ◽

Anthony S Masaquel ◽

Arpamas Seetasith

Keyword(s):

Drug Treatment ◽

Follicular Lymphoma ◽

Real World ◽

Specific Drug ◽

First Line ◽

Employment Equity ◽

Total Cost ◽

Claims Database ◽

Equity Ownership

Introduction: Obinutuzumab (GA101; G), a fully humanized, glycoengineered, type II anti-CD20 monoclonal antibody, is approved in the US for the first-line (1L) treatment of follicular lymphoma (FL). Despite the superior efficacy of G plus chemotherapy (G-chemo) versus rituximab (R) plus chemotherapy (R-chemo) in patients with previously untreated FL demonstrated in the Phase III, randomized GALLIUM study (NCT01332968; Marcus et al. N Engl J Med 2017), information on healthcare resource use (HRU) and real-world costs with G in previously untreated FL patients is limited. The aim of this retrospective cohort study was to examine HRU and costs for G-based and R-based therapies for the 1L treatment of FL using a US claims database. Methods: The data source for this study was the PharMetrics Plus Commercial Claims database. Adult patients (≥18 years) diagnosed with FL between February 1, 2015 and September 30, 2018 and who began any treatment for FL between February 1, 2016 and September 30, 2018 were included. The first FL treatment date within this selection window was denoted the index date. Patients were required to have ≥12 months of pre-index and ≥3 months of post-index continuous study enrolment, and to have at least one FL diagnosis on or during the 12-month pre-index period. Patients with FL treatment during the 12-month pre-index period were excluded in order to select only previously untreated patients. HRU and cost data during the 1L treatment period were descriptive and categorized by HRU category. Costs are in 2018 US dollars ($) and standardized as per patient per month (PPPM) costs. FL treatment determination was based on National Comprehensive Cancer Network guidelines. Results: A total of 1584 FL patients with ≥3 months follow up were analyzed. Overall, 26 patients received G-chemo (any combination) as their 1L treatment, 208 patients received R-CHOP (cyclophosphamide, doxorubicin, vincristine, prednisone), 391 patients received R-Benda (bendamustine) and 17 patients received R-CVP (cyclophosphamide, vincristine, prednisone); the remaining 942 patients received other regimens (predominantly other R combinations). Data are reported for those patients who received G-chemo, R-CHOP, R-Benda or R-CVP as 1L therapy (n=642; 281 females, 361 males). Baseline patient characteristics were similar for most variables across treatment groups. Mean (standard deviation [SD]) age was 56.9 (9.7) years and all patients had a Charlson Comorbidity Index (CCI) of ≥2 (mean [SD]: 2.9 [1.9]). Mean (SD) patient follow-up was 14.1 (8.0) months and mean (SD) duration of 1L treatment was 7.0 (5.1) months. A summary of all-cause HRU in patients receiving 1L treatment is provided by treatment category (Figure 1A). The proportion of patients with at least one hospitalization was highest with R-CHOP (23.6%). The proportion of patients with at least one emergency room (ER) visit was highest with R-Benda (29.4%). Mean (SD) total all-cause healthcare costs PPPM during 1L treatment were comparable among G-chemo, R-CHOP and R-Benda (Figure 1B) and lowest with R-CVP ($17,874 [$13,465]). Medical costs (mean [SD]) were highest for R-Benda ($27,716 [$19,610] PPPM) and lowest for R-CVP ($17,373 [$12,908] PPPM). G-chemo was associated with the lowest pharmacy costs ($76 [$107] PPPM) (Figure 1B). Mean (SD) total cost of FL drug treatment PPPM was $16,028 ($9,942) for G-chemo, $11,684 ($6,122) for R-CHOP and $12,108 ($8,794) for R-CVP. Mean (SD) total cost of FL drug treatment PPPM was highest with R-Benda ($21,263 [$15,328]). G-specific drug costs PPPM ($9,643 [$6,071]) were similar to R-specific drug costs ($9,992 [$5,234] R-CHOP; $9,083 [$5,859] R-Benda; and $10,702 [$7,717] R-CVP). Conclusions: Our results depict real-world HRU and costs associated with G and commonly used 1L regimens for FL. In this setting, HRU and costs associated with G-chemo were comparable with R-chemo, supporting the use of G-chemo as a treatment option for patients with previously untreated FL. The study findings are limited by the small sample size of the G-chemo patient cohort (n=26) and short follow-up; to address this, an updated analysis incorporating a larger number of patients is planned. Disclosures To: Genentech, Inc.: Employment, Equity Ownership. Dawson:Roche/Genentech: Equity Ownership; Genentech: Employment. Masaquel:Genentech: Employment; Roche: Equity Ownership. Seetasith:Genentech: Employment, Equity Ownership.

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Chromosome 1q Amplification Is Associated with a History of Prior Malignancies Among Patients Newly Diagnosed with Multiple Myeloma

Blood ◽

10.1182/blood-2019-125407 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 2193-2193

Author(s):

Elizabeth B Lamont ◽

Andrew J. Yee ◽

Stuart L. Goldberg ◽

Andrew D Norden

Keyword(s):

Prostate Cancer ◽

Multiple Myeloma ◽

Clinical Trials ◽

Usual Care ◽

Real World ◽

Research Funding ◽

Newly Diagnosed ◽

History Of ◽

Equity Ownership ◽

Prior Malignancy

Background: Over the past 20 years, observational data from usual care clinical oncology settings has been leveraged to inform estimates of cancer treatment-associated benefits and risks among patients not treated on clinical trials. Increasing genomic testing to inform treatment decisions in usual care settings now meaningfully augments traditional observational data, positioning it to provide insights beyond clinical care into tumor biology. We studied patients with newly diagnosed multiple myeloma (MM), comparing cytogenetic test patterns according to history of prior malignancy. Methods: In this retrospective cohort study, we identified 2,380 patients from the COTA real-world database (RWD) who were newly diagnosed with MM in the years 2010-2018. The COTA RWD is a de-identified composite of both abstracted electronic health record and administrative data pertaining to patients receiving their cancer care at one of COTA's clinical oncology practice partners. Among these patients, 1769 (74%) had evidence of MM-associated cytogenetic testing with fluorescent in-situ hybridization (FISH) within the 120 days surrounding their date of diagnosis. The 1,769 patients form the analytic cohort. We compared patients' FISH results for t(4;14), deletion(17p), t(14;16), deletion(13), t(14;20), t(6;14), t(11;14), deletion (1p), and amplification(1q) according to their history of prior malignancy. Results: Within the cohort, 263 prior malignancies were identified in 241 patients (14%, 241/1,769). Two-hundred and twenty-one patients (92%) had one prior malignancy, 28 (7.9%) had two prior malignancies, and one (<1%) had four prior malignancies. The most common prior malignancies were prostate (n=50), breast (n=19), melanoma (n=14), skin (n=13), and cervix (n=6). Amplification of the long arm of chromosome one (amp(1q)) was noted in 31% of patients (75/241) with a prior malignancy vs. 24% of patients (370/1,528) without (chi2 test p=0.02). Overall 25% of patients had amp(1q). No other translocations, amplifications, deletions were associated with prior cancers. A non-parametric test for trend revealed a strong positive association between patients' malignancy count (range 0-4) and amp1q (p<0.01). MM patients with prior lymphomas and prior melanomas also had high rates of amp(1q), though these were not significantly different from patients without these prior malignancies. In a multivariable logistic regression model that adjusted for patient demographic attributes, other known potentially collinear MM poor prognostic factors (i.e., revised ISS stage, IgA sub-type, lambda light chains) and adjusted standard errors for clustering of patients within treatment settings, a history of prostate cancer remained clinically and statistically significantly positively associated with amp(1q) (OR 2.1, 95% CI: 1.9-2.2) as did history of two or more prior malignancies (OR 2.8, 95% CI: 2.3-3.3). Of note, amp(1q) was positively associated with IgA subtype (OR 1.5, 95% CI: 1.3-1.6) and the presence of lambda subtype (OR 1.3, 95%CI: 1.3-1.4). Conclusions: Using RWD, we found that newly diagnosed MM patients with histories of prostate cancer and those with two or more prior malignancies were more likely to have amp(1q), a poor prognostic marker in MM. Gains in 1q have previously been identified among patients with prostate and lymphoid cancers, but to our knowledge this is the first study to identify an association with a prior history of cancer, especially prostate cancer, and amp(1q) in MM. This relationship is worth further exploration of whether there is a common pathway associated with for example risk of prostate cancer and amp(1q) in MM. Clinical trials are less likely to answer this question as patients with prior malignancies are often excluded from enrollment. Overall, the results reported suggest that RWD is an efficient and comparatively inexpensive tool to support research in cancer biology through hypothesis generating and testing analyses of linked real-world phenotypic and genotypic data. Disclosures Lamont: COTA: Employment. Yee:Celgene: Consultancy, Honoraria, Research Funding; Karyopharm: Consultancy; Bristol-Myers Squibb: Consultancy, Research Funding; Takeda: Consultancy; Adaptive: Consultancy; Amgen: Consultancy, Honoraria. Goldberg:Cancer Outcomes Tracking and Analysis (COTA) Inc.: Equity Ownership; COTA: Equity Ownership; Bristol-Myers Squibb: Consultancy. Norden:COTA: Employment, Equity Ownership.

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Analysis of Second Primary Malignancies in Lenalidomide-Treated Patients with IPSS Low- or Int-1-Risk Myelodysplastic Syndromes

Blood ◽

10.1182/blood.v118.21.1704.1704 ◽

2011 ◽

Vol 118 (21) ◽

pp. 1704-1704 ◽

Cited By ~ 2

Author(s):

Aristoteles Giagounidis ◽

Azra Raza ◽

Alan F. List ◽

Pierre Fenaux ◽

Bouchra Benettaib ◽

...

Keyword(s):

Research Funding ◽

Prior History ◽

Second Primary ◽

Employment Equity ◽

Phase 3 ◽

Advisory Committees ◽

Increased Risk ◽

History Of ◽

Equity Ownership ◽

Rbc Transfusion

Abstract Abstract 1704 Background: Lenalidomide (LEN) is approved in the US for the treatment of RBC transfusion-dependent patients with IPSS Low- or Int-1-risk myelodysplastic syndromes (MDS) with del(5q), with or without other cytogenetic abnormalities. In a phase 3 trial, treatment with LEN 5 mg and 10 mg resulted in RBC transfusion independence (TI) for ≥ 26 weeks in 43% and 56% of such patients, cytogenetic response in 25% and 50%, and a significant improvement of health-related quality of life (p <.05 for both 5 mg and 10 mg). Achievement of RBC-TI ≥ 8 weeks was associated with a significantly reduced risk of AML progression and death (p <.05 for both) (Fenaux P et al. Blood 2011;doi: 10.1182/blood-2011-01-330126). In newly diagnosed multiple myeloma patients, results of phase 3 trials showed a numerical imbalance in the occurrence of second primary malignancies (SPMs) between patients treated with LEN (in combination with melphalan or immediately after high-dose melphalan therapy and stem cell transplantation) and control cohorts. SPMs were analyzed in clinical trials of LEN across indications, including MDS. Methods: This was a single arm analysis of SPM data retrieved from RBC transfusion-dependent patients with IPSS Low- or Int-1-risk MDS with or without del(5q) who received LEN as monotherapy in 5 studies (MDS-001, -002, -003, -004, and -007). The cutoff date was February 28, 2011. SPMs were defined using MedDRA (Medical Dictionary for Regulatory Activities) categories of invasive SPMs (hematologic malignancies and solid tumors) and non-melanoma skin cancers (NMSC). Acute myeloid leukemia (AML) is considered part of the natural history of disease progression in MDS. Although further follow-up is needed, results of a phase 3 study showed no obvious evidence for an increased risk of AML progression in LEN-treated RBC transfusion-dependent patients with IPSS Low- or Int-1-risk MDS and del(5q) (Fenaux P et al. Blood 2011;doi: 10.1182/blood-2011-01-330126). AML was not included in the present analysis. The overall number of SPMs (invasive malignancies and NMSC), and the number and incidence rate (IR) of all invasive SPMs were evaluated, with IR defined as the number of new events per 100 person-years (pys). The IR of invasive SPMs was compared with the IR of new events of invasive cancer as reported from the SEER (Surveillance, Epidemiology, and End Results) cancer registry (2.1/100 pys for persons aged ≥ 65 years) (Howalder N et al. National Cancer Institute, 2011). Results: The combined population of all 5 studies comprised 557 LEN-treated patients. The median age was 71 years (range 27–95 years) and 72% of patients were aged ≥ 65 years. 88 patients (15.8%) had a prior history of cancer including malignant melanoma, meningioma, breast cancer, lung cancer, squamous cell carcinoma, and basal cell carcinoma. A total of 28 patients (5.0%) developed ≥ 1 SPM, including 17 (3.1%) with an invasive SPM and 12 (2.2%) with NMSC; 1 patient had both an invasive malignancy and a NMSC. Two of the 17 patients with invasive SPMs had a B-cell malignancy and 15 had solid tumors of heterogeneous type. Of the 28 patients with SPMs in total, 5 patients had a prior history of cancer. The IR of invasive SPMs was 2.60/100 pys (95% confidence interval 1.56–4.07), which is consistent with the IR reported in the SEER database among patients in this age group (2.1/100 pys for persons aged ≥ 65 years). The median time to onset of SPMs was 13.5 months (range 0.3–48.6 months). Conclusion: There was no clear evidence to associate LEN treatment with an increased risk of developing SPMs in patients with Low- or Int-1-risk MDS with or without del(5q). The IR of invasive SPMs among these LEN-treated patients is what would be expected from population-based estimates of invasive cancer incidence among persons in this age group. The collection of data on SPMs in LEN-treated patients including post-marketing information is ongoing. Disclosures: Giagounidis: Celgene Corporation: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees. List:Celgene Corporation: Consultancy, Honoraria, Research Funding. Fenaux:Merck: Honoraria; Johnson & Johnson: Honoraria; Amgen: Honoraria, Research Funding; Roche: Honoraria, Research Funding; Celgene Corporation: Honoraria, Research Funding; Cephalon: Honoraria; Novartis: Honoraria. Benettaib:Celgene Corporation: Employment, Equity Ownership. Brown:Celgene Corporation: Employment, Equity Ownership. Zhong:Celgene Corporation: Employment, Equity Ownership. Brandenburg:Celgene Corporation: Employment, Equity Ownership. Mufti:Celgene Corporation: Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding.

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Could Patients with Multiple Myeloma (MM) Derive Additional Benefit from Their Treatments? Real-World Evidence for Carfilzomib Dosing Intensity on Survival and Treatment Progression

Blood ◽

10.1182/blood-2018-99-113414 ◽

2018 ◽

Vol 132 (Supplement 1) ◽

pp. 836-836 ◽

Cited By ~ 1

Author(s):

Rohan Medhekar ◽

Dionne Hines ◽

Sumeet Panjabi ◽

Tim Welliver ◽

Xin Wang ◽

...

Keyword(s):

Multiple Myeloma ◽

Real World ◽

Lower Risk ◽

Index Date ◽

Cox Model ◽

Weekly Dose ◽

Employment Equity ◽

K Index ◽

Equity Ownership ◽

The Impact

Abstract Introduction: Carfilzomib (K) was first approved in 2012 for the treatment of relapsed/refractory multiple myeloma (RRMM) at a dose of 27 mg/m2 twice weekly (27 BIW). The K dose has since been optimized; carfilzomib plus dexamethasone (Kd) is approved for patients with RRMM at a recommended K dose of 56 mg/m2 twice weekly (56 BIW) since 2016. Recently, the A.R.R.O.W trial showed that Kd 70mg/m2 once weekly (70 QW) significantly improved progression free survival compared to Kd 27 BIW. Considering the study time-period, however, patients are still treated with 27 BIW in the real-world leaving them possibly under-treated. The Kd 27 BIW, corresponds to a cumulative weekly dose (CWD) of K <120mg, while both Kd 56 BIW and Kd 70 QW (optimized dose-56 BIW/70 QW) correspond to a CWD of K >120mg. Therefore, in order to understand the relationship between dose and outcomes we examined the impact of K-dosing (CWD >120mg [optimized dose-56 BIW/70 QW] vs. CWD ≤120 mg [27 BIW]) on time to next treatment (TTNT) and overall survival (OS) among patients treated with Kd regimen. Methods: IQVIA's Oncology Electronic Medical Records database was used to identify patients ≥18 years of age, with a diagnosis of MM between 1/1/2010 and 10/31/2017, receiving Kd regimen in any line of therapy, with ≥ 3 doses of K on or after their K-index date (first administration of K in the Kd regimen, between 1/1/2013 and 10/31/2017). Patients were required to have ≥ 3 doses of K in order to establish continuity and for calculating CWD. CWD was calculated as the cumulative sum of weekly dose of K received by the patient divided by the number of weeks with Kd administration. The first two K doses were excluded from the calculation of CWD as these represent the loading dose. OS and TTNT were compared between patients receiving optimized dose-56 BIW/70 QW vs. 27 BIW. OS was evaluated among the subset of patients with a recorded deceased or alive status and measured from the K-index date until death due to any cause or the end of the study period, where they were censored. TTNT was defined as the time from initiation of the Kd regimen until the start of a subsequent regimen that did not contain Kd (treatment progression). Additionally, a landmark analysis at 12 months from initiation of Kd regimen was conducted to measure the proportion of patients alive and the proportion of patients with treatment progression. Kaplan-Meier analysis was used to estimate OS and TTNT and the log-rank test was used to compare the groups. Adjusted hazard ratios for OS and TTNT were evaluated using Cox models. Results : A total of 1,469 eligible MM patients with ≥3 Kd administrations were identified, of which 129 (8.8%; mean age: 63.5, SD: 9.8) received optimized dose-56 BIW/70 QW and 1,340 (91.2%; mean age: 67.0, SD: 10.4) received 27 BIW. The median follow-up time was slightly over a year for patients in both cohorts. The median K dose was 147.0 mg among patients in optimized dose-56 BIW/70 QW group and 88.1 mg among patients in 27 BIW group. Median OS was not estimable (NE), however, OS for the optimized dose-56 BIW/70 QW group (n=78) was significantly longer than that of the 27 BIW group (n=771; p=0.002) (Fig. 1). The proportion of patients in optimized dose-56 BIW/70 QW group alive at 12 months was 90.3% compared to 79.7% for patients in 27 BIW group respectively. Covariate-adjusted cox model showed that patients in optimized dose-56 BIW/70 QW group had a 64% lower risk of death than patients in 27 BIW group (adjusted HR: 0.364; 95% CI: 0.178-0.745; p = 0.0057, Table 1). TTNT was significantly longer for patients in optimized dose-56 BIW/70 QW group compared to patients in 27 BIW group (p=0.023; median TTNT: 17.5 [95% CI: 14.8-NE] and 13.2, [95% CI: 12.4-14.4], respectively) (Fig. 2). Covariate-adjusted cox model showed that patients in optimized dose-56 BIW/70 QW group had a 33% lower risk of treatment progression than patients in 27 BIW group (adjusted HR: 0.669; 95% CI: 0.483-0.927; p=0.0155, Table 1). Conclusion: Among patients treated with Kd regimen, a smaller proportion were prescribed K at optimized dose-56 BIW/70 QW. Patients receiving the optimized dose-56 BIW/70 QW had significantly improved OS and TTNT compared to those receiving 27 BIW. Our findings suggest that these patient-relevant outcomes may be improved in a vast majority of RRMM patients currently under-treated with carfilzomib by optimizing the dose, taking into consideration patients' comorbidities and ability to tolerate therapy. Disclosures Medhekar: Amgen: Employment, Equity Ownership. Hines:Amgen: Consultancy. Panjabi:Amgen: Employment, Equity Ownership. Welliver:Amgen: Employment, Equity Ownership. Wang:Amgen: Consultancy. Wade:Amgen: Consultancy.

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Health Care Utilization and Costs Among Patients with Chronic Myeloid Leukemia Using Tyrosine Kinase Inhibitors

Blood ◽

10.1182/blood-2018-99-113809 ◽

2018 ◽

Vol 132 (Supplement 1) ◽

pp. 3537-3537

Author(s):

Joanna C Huang ◽

Sudeep Karve ◽

Sanchita Porwal ◽

Kushan Thakkar ◽

Thomas Marshall ◽

...

Keyword(s):

Tyrosine Kinase ◽

Emergency Room ◽

Tyrosine Kinase Inhibitors ◽

Health Plan ◽

Real World ◽

Index Date ◽

Kinase Inhibitors ◽

Employment Equity ◽

The Us ◽

Equity Ownership

Abstract INTRODUCTION: Tyrosine kinase inhibitors (TKIs) remain mainstay in the management of patients with CML. Several TKIs have been approved over the last two decades. Even though efficacy and safety remain as the primary drivers in treatment selection, in recent years importance has been placed on treatment affordability and economic burden associated with the long-term cancer treatments such as TKIs. However, current literature lacks real-world data on healthcare utilization (HCU) and costs among patients with CML using TKIs, which this study aims to address. METHODS: Retrospective cohort study was conducted using MarketScan Commercial, and Supplemental Medicare databases (2012-2016). Data includes medical and pharmacy utilization and costs for over 90 million individuals enrolled in employer-sponsored health-plans in the US. Data includes information on but not limited to medical diagnosis, procedures, drugs dispensed, date of service, health plan enrollment. Study involves adult patients (≥18 years) with ≥2 medical claims with a diagnosis of CML (ICD-9-CM: 205.10 - 205.12; ICD-10: C92.10-C92.12) and with a prescription claim for TKI. The date of first-TKI claim defined the index date. Patients were required to have continuous health plan enrollment ≥6 months before (defined as baseline period) and ≥6 months after index date. Selected patients were further classified into 5 sub-groups based on the index TKI observed (prescribed) post CML diagnosis (imatinib, dasatinib, nilotinib, bosutinib, ponatinib). Among the selected patients, all-cause HCU and costs were assessed from index date until end of database or end of enrollment, whichever occurred earlier. HCU and associated costs were assessed overall and by care settings including inpatient, emergency room, physician office, outpatient hospital, outpatient pharmacy, nursing facility and ancillary care. In addition, baseline (6 month) utilization and costs were assessed. Monthly and annual resource utilization and costs were reported for the overall CML cohort (across all TKI users) and by index TKI sub-groups. All costs were reported from a payer perspective (i.e., costs reimbursed by health plan) and adjusted to 2017 US dollars using the US consumer price index (medical component). All analyses were descriptive in nature. RESULTS: The study cohort included 2,213 CML patients. Distribution for the index TKI treatment was as follows: 41% imatinib, 36% dasatinib, 21% and 1% each for bosutinib and ponatinib. Mean age (standard deviation [SD]) of the cohort was 55 (15) years which was similar for individual TKI sub-groups. Majority of patients were males (55%) and 56% were enrolled in a preferred provider organization plan. The mean follow-up duration post-TKI initiation was 607 (442) days. The average baseline monthly all-cause costs were $4,365 with inpatient and pharmacy costs accounting for over 3/4th of the total costs (Figure 1). Post-TKI initiation the average monthly costs were twice ($9,288) compared with the baseline costs ($4,365) and the increase was primarily attributable to higher outpatient pharmacy costs ($6,619, accounted for 71% of total costs) (Figure 2). Monthly costs across other care settings (inpatient, outpatient, emergency room) were similar for the baseline and post-TKI initiation. On average patients had 1.4 office visits, 2.5 prescriptions and 0.7 hospital outpatient visits per month at baseline, which increased by 23%, 38% and 49%, respectively post TKI-initiation. During the 1st year post TKI-initiation, 17% patients in the overall CML cohort had at least 1 inpatient admission and this was consistent across individual TKI-sub-groups (except ponatinib, 50%). CONCLUSIONS: Findings on TKI utilization and costs in employer-sponsored health-plan database indicate that average costs and utilization were similar across the TKI sub-groups with pharmacy costs accounting for 71% of the total post TKI initiation costs. Overall, this study helps address the literature gap by providing recent real-world treatment care-setting specific utilization and costs among TKI uses and these data can be of value to several healthcare stakeholders including physicians, managed care plans and researchers in supporting clinical and formulary decisions and also serve as inputs for economic models. Finally, the sample sizes for ponatinib and bosutinb were small and results for these TKIs should be interpreted with caution. Disclosures Huang: ZS Associates: Employment; Novo Nordisk Inc: Equity Ownership; AstraZeneca: Research Funding. Karve:AbbVie: Employment, Equity Ownership. Porwal:ZS Associates: Employment. Thakkar:ZS Associates: Employment. Marshall:AbbVie: Employment, Equity Ownership. Rosenberg:AbbVie: Employment, Equity Ownership.

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Prognostic Molecular Stratification in Relapsed/Refractory Multiple Myeloma - Results of the Pomalidomide Mukseven (NCT02406222) Biomarker Trial

Blood ◽

10.1182/blood-2019-123640 ◽

2019 ◽

Vol 134 (Supplement_1) ◽

pp. 4327-4327

Author(s):

James Croft ◽

Andrew Hall ◽

Amy L Sherborne ◽

Katrina Walker ◽

Sidra Ellis ◽

...

Keyword(s):

Multiple Myeloma ◽

Flow Cytometry ◽

T Cell ◽

High Risk ◽

Real World ◽

Research Funding ◽

Unmet Need ◽

Employment Equity ◽

Equity Ownership

Background Treatment of relapsed/refractory multiple myeloma (RRMM) remains challenging as durable remissions are achieved in patient sub-groups only. Identifying patients that are likely to benefit prior to or early after starting relapse treatments remains an unmet need. MUKseven is a trial specifically designed to investigate and validate biomarkers for treatment optimization in a 'real-world' RRMM population. Design In the randomized multi-center phase 2 MUKseven trial, RRMM patients (≥2 prior lines of therapy, exposed to proteasome inhibitor and lenalidomide) were randomized 1:1 to cyclophosphamide (500 mg po d1, 8, 15), pomalidomide (4 mg days 1-21) and dexamethasone (40 mg; if ≥75 years 20 mg; d1, 8, 15, 21) (CPomD) or PomD and treated until progression. All patients were asked to undergo bone marrow (BM) and peripheral blood (PB) bio-sampling at baseline, cycle 1 day 14 (C1D14, on-treatment) and relapse. For biomarker discovery and validation, IGH translocations were profiled by qRT-PCR, copy number aberrations by digital MLPA (probemix D006; MRC Holland), GEP by U133plus2.0 array (Affymetrix), PD protein markers by IHC and PB T-cell subsets by flow cytometry for all patients with sufficient material. Primary endpoint was PFS, secondary endpoints included response, OS, safety/toxicity and biomarker validation. Original planned sample size was 250 patients but due to a change in UK standard of care during recruitment with pomalidomide becoming available, a decision was made to stop recruitment early. Results In total, 102 RRMM patients were randomized 1:1 between March 2016 and February 2018. Trial entry criteria were designed to include a real-world RRMM population, permitting transfusions and growth factor support. Median age at randomization was 69 years (range 42-88), 28% of patients had received ≥5 prior lines of therapy (median: 3). Median follow-up for this analysis was 13.4 months (95% CI: 12.0-17.5). 16 patients remained on trial at time of analysis (median number of cycles: 19.5; range 8-28). More patients achieved ≥PR with CPomD compared to PomD: 70.6% (95% CI: 56.2-82.5%) vs. 47.1% (CI: 32.9-61.5%) (P=0.006). Median PFS was 6.9 months (CI: 5.7-10.4) for CPomD vs. 4.6 months (CI: 3.5-7.4) for PomD, which was not significantly different as per pre-defined criteria. Follow-up for OS is ongoing and will be presented at the conference. High-risk genetic aberrations were found at following frequencies: t(4;14): 6%, t(14;16)/t(14;20): 2%, gain(1q): 45%, del(17p): 13%. Non-high risk lesions were present as follows: t(11;14): 22%, hyperdiploidy: 44%. Complete information on all high-risk genetic markers was available for 71/102 patients, of whom 12.7% had double-hit high-risk (≥2 adverse lesions), 46.5% single-hit high-risk (1 adverse lesion) and 40.8% no risk markers, as per our recent meta-analysis in NDMM (Shah V, et al., Leukemia 2018). Median PFS was significantly shorter for double-hit: 3.4 months (CI: 1.0-4.9) vs. single-hit: 5.8 months (CI: 3.7-9.0) or no hit: 14.1 months (CI: 6.9-17.3) (P=0.005) (Figure 1A). GEP was available for 48 patients and the EMC92 high-risk signature, present in 19% of tumors, was associated with significantly shorter PFS: 3.4 months (CI: 2.0-5.7) vs. 7.4 (CI: 3.9-15.1) for EMC92 standard risk (P=0.037). Pharmacodynamic (PD) profiling of cereblon and CRL4CRBN ubiquitination targets (including Aiolos, ZFP91) in BM clots collected at baseline and C1D14 is currently ongoing. Preliminary results for the first 10 patients demonstrate differential change of nuclear Aiolos (Figure 1C), with a major decrease in Aiolos H-scores in 7/10 patients from baseline to C1D14 and reconstitution at relapse. T-cell PB sub-sets were profiled at baseline and C1D14 by flow cytometry. Specific sub-sets increased with therapy from baseline to C1D14, e.g. activated (HLA-DR+) CD4+ T-cells, as reported at last ASH. CD4+ T-cell % at baseline was associated with shorter PFS in these analyses in a multi-variable Cox regression model (P=0.005). PD and T-cell biomarker results will be updated and integrated with molecular tumor characteristics and outcome. Discussion Our results demonstrate that molecular markers validated for NDMM predict treatment outcomes in RRMM, opening the potential for stratified delivery of novel treatment approaches for patients with a particularly high unmet need. Additional immunologic and PD biomarkers are currently being explored. Disclosures Croft: Celgene: Other: Travel expenses. Hall:Celgene, Amgen, Janssen, Karyopharm: Other: Research funding to Institution. Walker:Janssen, Celgene: Other: Research funding to Institution. Pawlyn:Amgen, Janssen, Celgene, Takeda: Other: Travel expenses; Amgen, Celgene, Janssen, Oncopeptides: Honoraria; Amgen, Celgene, Takeda: Consultancy. Flanagan:Amgen, Celgene, Janssen, Karyopharm: Other: Research funding to Institution. Garg:Janssen, Takeda, Novartis: Other: Travel expenses; Novartis, Janssen: Research Funding; Janssen: Honoraria. Couto:Celgene Corporation: Employment, Equity Ownership, Patents & Royalties. Wang:Celgene Corporation: Employment, Equity Ownership. Boyd:Novartis: Consultancy, Honoraria; Janssen: Consultancy, Honoraria; Takeda: Consultancy, Honoraria; Amgen: Consultancy, Honoraria; Celgene: Consultancy, Honoraria. Pierceall:Celgene: Employment. Thakurta:Celgene: Employment, Equity Ownership. Cook:Celgene, Janssen-Cilag, Takeda: Honoraria, Research Funding; Janssen, Takeda, Sanofi, Karyopharm, Celgene: Consultancy, Honoraria, Speakers Bureau; Amgen, Bristol-Myers Squib, GlycoMimetics, Seattle Genetics, Sanofi: Honoraria. Brown:Amgen, Celgene, Janssen, Karyopharm: Other: Research funding to Institution. Kaiser:Takeda, Janssen, Celgene, Amgen: Honoraria, Other: Travel Expenses; Celgene, Janssen: Research Funding; Abbvie, Celgene, Takeda, Janssen, Amgen, Abbvie, Karyopharm: Consultancy.

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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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Epidemiology of Myelofibrosis (MF), Polycythemia Vera (PV) and Essential Thrombocythemia (ET) in the European Union (EU)

Blood ◽

10.1182/blood.v120.21.1744.1744 ◽

2012 ◽

Vol 120 (21) ◽

pp. 1744-1744 ◽

Cited By ~ 1

Author(s):

Odile Moulard ◽

Jyotsna Mehta ◽

Robert Olivares ◽

Usman Iqbal ◽

Ruben A. Mesa

Keyword(s):

Bone Marrow ◽

Real World ◽

Research Funding ◽

Hematological Malignancies ◽

Research Network ◽

Published Data ◽

Employment Equity ◽

Myeloid Metaplasia ◽

Epidemiology Data ◽

Equity Ownership

Abstract Abstract 1744 Background: MF, ET and PV are BCR ABL negative myeloproliferative neoplasms (MPN). These are a subset of bone marrow disorders characterized by an overproduction of one or more types of blood or fiber cells in the bone marrow. There is disparate published data on the epidemiological estimates for these diseases in the EU. An evidence based synthesis of MPN epidemiology data can effectively inform population health care planning and economic decision support for these disorders. The aim of our study is to synthesize and provide a comprehensive review of epidemiology estimates from available sources including literature, publicly available registries as well as real world data. Methods: We conducted a search of literature published between 1995–2012 using terms related to MF, PV and ET. Elsevier and Medline databases were searched using Embase platform. Orphan disease registries, specific hematological malignancies registries, country specific databases and registries included RARECARE, Orphanet, Registry of hematological malignancies in France, UK Hematologic Malignancy research network. Finnish cancer registry and Sweden National registry were also evaluated. The RARECARE project is responsible for surveillance of rare cancers in Europe based on data from 88 cancer registries in 22 European countries and includes cancer cases diagnosed in 1995–2002. Orphanet provides an estimate of the prevalence of rare diseases in Europe based on a systematic survey of the literature. Calculation of prevalence in Orphanet is done by multiplying incidence with the mean duration of disease. UK THIN (∼5 million enrollees each year) general practitioner database was used to retrospectively identify patients with primary and secondary MF between 1/1/08 and 12/31/10. READ codes were used to identify MF. This database can track patients longitudinally over multiple years, are linked at the patient level by a unique identifier that is consistent across health related services and time and have been shown to be representative of the UK population. Results: Only six articles looking at the European population were retrieved through the literature. These articles as well as international/national reports were used to summarize epidemiological estimates for Myelofibrosis using several different terms. MF terminology varied among registries. Terms included “Primary myelofibrosis”, “myelosclerosis with myeloid metaplasia” and “myelofibrosis”. Annual prevalence of MF ranged from 0.5–9 cases per 100,000 individuals. For PV, even if terminology and coding is consistent, estimates still varied depending on registry used. RARECARE reported prevalence of 5.5 per 100,000 and Orphanet reported a range of 10–50 cases per 100,000. For ET, prevalence was reported only in RARECARE with 4.4 cases per 100,000 individuals. Prevalence estimates in UK were slightly higher compared to RARECARE; 0.9 cases per 100,000 for MF, 6 cases per 100,000 for PV and ET. Incidence for MF, PV and ET ranged from 0.3–1.9, 0.6–2.8, 0.5–2.2 per 100,000 patients respectively. Conclusions: Few publications and registries report epidemiology data for MF, PV or ET. Especially, prevalence data is very rare. There is wide variation in both prevalence and incidence estimates for MPN across EU data sources that can limit informed application of epidemiological research. The differences stem from lack of a unifying term for MF and coding differences coupled with limitations inherent in registry data including potential sources of bias, missing data, and issues with assessment of statistical significance. Additional research using standardized definitions/coding across appropriate real world databases and enhanced tumor registries are needed to add precision to or substantiate these results. Disclosures: Moulard: Sanofi: Employment, Equity Ownership. Mehta:Sanofi: Employment. Olivares:Sanofi: Employment, Equity Ownership. Iqbal:Sanofi: Employment, Equity Ownership. Mesa:Incyte: Research Funding; Lilly: Research Funding; Sanofi: Research Funding; NS Pharma: Research Funding; YM Bioscience: Research Funding.

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