Analysis of Medicare Expenditure for Discarded Infused Cancer Therapeutics From 2017-2020.

OBJECTIVE: To explore patterns in Medicare reimbursement for wasted oncologic and hematologic infusion drugs from 2017 to 2020 and estimate the savings that implementation of the Infrastructure Investment and Jobs Act (IIJA) would have had. METHODS: Using the publicly available Medicare Part B Discarded Drug Units database, we analyzed reimbursement data for discarded antineoplastic and hematology therapies from 2017 to 2020. RESULTS: Medicare Part B utilization data was extracted for 77 therapies. From 2017 to 2020, the median annual dollar value of discarded therapies was $590 million. Every year, bortezomib, azacitidine, cabazitaxel, and decitabine were among the most wasted products, an average 24% waste. The IIJA policy would have impacted a median of 20 oncology agents and resulted in median annual refund of $172 million. Had the top five most discarded therapies been redistributed, they could have treated 18,289 patients. The five most wasted drugs were all dosed by weight and distributed in single-use vials. CONCLUSION: The IIJA could potentially significantly reduce waste or encourage redistribution to treat thousands of additional patients. We propose that a fusion of fixed and weight-based dosing may help reduce wasteful medication administration by offering doses that better accommodate most patients. We anticipate that manufacturers will adapt to the IIJA perhaps by adjusting fixed doses or simply increasing drug prices. If price changes from dose delivery adjustment occur, rebates offered to pharmacy benefit managers and insurers will likely follow suit and may alter formulary positioning.

Provider barriers in uptake of biosimilars: case study on filgrastim.

In this article, we used administrative claims data from the OptumLabs Data Warehouse and American Hospital Association Annual Survey data to examine associations between hospital characteristics and uptake of biosimilar granulocyte colony-stimulating factor treatments. We found that 340B-participating hospitals and non-rural referral center (RRC) hospitals that reported owning rural health clinics were less likely to administer the lower-cost biosimilars, whereas the opposite was true for hospitals that are RRCs. To our knowledge, our study offers a first look at an underappreciated source of disparities in access to lower-cost medications such as biosimilars. Results from our study reveal opportunities for targeted policies to encourage adoption of lower-cost treatments, particularly among hospitals that serve rural communities where patients often have fewer choices in care site.

Relationship of paroxysmal nocturnal hemoglobinuria (PNH) granulocyte clone size to disease burden and risk of major vascular events in untreated patients: results from the International PNH Registry.

Paroxysmal nocturnal hemoglobinuria (PNH) is caused by acquired gene mutations resulting in deficiency of glycosylphosphatidylinositol (GPI)-anchored complement regulatory proteins on the surface of blood cells, leading to terminal complement-mediated intravascular hemolysis and increased risk of major adverse vascular events (MAVEs). Using data from the International PNH Registry, this study investigated the relationship between the proportion of GPI-deficient granulocytes at PNH onset and (1) the risk for MAVEs (including thrombotic events [TEs]) and (2) the following parameters at last follow-up: high disease activity (HDA); lactate dehydrogenase (LDH) ratio; fatigue; abdominal pain; and rates of overall MAVEs and TEs. A total of 2813 patients untreated at enrollment were included and stratified by clone size at PNH disease onset (baseline). At last follow-up, higher proportion of GPI-deficient granulocytes (≤ 5% vs. > 30% clone size) at baseline was associated with significantly increased HDA incidence (14% vs. 77%), mean LDH ratio (1.3 vs. 4.7 × upper limit of normal), and rates of MAVEs 1.5 vs. 2.9 per 100 person-years) and TEs (0.9 vs. 2.0 per 100 person-years). Fatigue was evident in 71 to 76% of patients regardless of clone size. Abdominal pain was more frequently reported with clone size > 30%. A larger clone size at baseline appears to indicate a greater disease burden and risk of TEs and MAVEs and may inform decision making among physicians managing PNH patients at risk of experiencing TEs or other MAVEs. ClinicalTrials.gov ID: NCT01374360.

Clinical Utility and Potential Cost Savings of Pharmacologic Monitoring of Eculizumab for Complement-Mediated Thrombotic Microangiopathy.

One of the treatment options for complement-mediated thrombotic microangiopathy (CM-TMA), also known as atypical hemolytic uremic syndrome, is the administration of the C5 complement inhibitor eculizumab. In vivo studies have reported a complete complement blockade with eculizumab serum concentrations above 50 µg/mL in the case of atypical hemolytic uremic syndrome. The eculizumab trough levels and C5 functional activity were monitored in patients with CM-TMA being treated with eculizumab. For those with eculizumab trough concentrations of more than 100 µg/mL, the frequency of eculizumab 1200-mg doses was decreased. In this article, we describe the pharmacologic monitoring data with the use of C5 functional activity and mass spectrometric assessments of eculizumab to allow for a tailored eculizumab schedule for 10 patients with CM-TMA. In 9 out of 10 (90%) patients with a standard administration schedule, eculizumab trough concentrations were more than 100 µg/mL. At the time of the last eculizumab follow-up (median, 250 days; range, 85-898 days), the interval between eculizumab infusions was extended to every 3-6 weeks for 8 patients; no disease relapse was found with the modified dosing interval. Altering the administration of maintenance eculizumab from every 2-3 weeks to 3-6 weeks yields a savings of $78,185 per patient for a 6-month eculizumab treatment course. Although larger standardized cohorts are necessary to confirm these findings, our data suggest that monitoring eculizumab levels in conjunction with C5 assessment allows for safe modification of eculizumab dosing and results in considerable cost savings.

Insurance-based disparities impact survival outcomes in Waldenström macroglobulinemia within the United States.

Considerable healthcare resource utilization and financial burden have been associated with the treatment of WM; however, the impact of health insurance status on outcomes has not been previously reported. We conducted a National Cancer Database analysis of newly diagnosed cases of active WM between 2004 and 2017 to evaluate the impact of insurance status on outcomes. For patients <65 years old (n = 1249, male sex: 62.4%, median age: 58 years), significant insurance-based survival differences were observed on multivariable analysis; patients who were uninsured [n = 63; HR 3.11 (95%CI, 1.77-5.45), p < 0.001], on Medicaid [n = 87; HR 1.88 (95% CI, 1.01-3.48), p = 0.045], or on Medicare [n = 122; HR 2.78 (95%CI, 1.76-4.38), p < 0.001], had inferior survival compared to patients with private insurance (n = 977; reference). In patients ≥65 years, no insurance-based survival differences were found (p = 0.10). Overall, significant insurance-based outcome disparities exist in WM. Further work is desperately needed to systematically uncover and address these disparities.

Economic Cost and Sustainability of Oral Therapies in Precision Oncology.

PURPOSE: Precision oncology promises improved outcomes but the cost-effectiveness and accessibility of targeted therapies is debatable. We report price change patterns from 2015 to 2019 for several oral anticancer medications for common solid tumor malignancies. METHODS: We collected provider utilization and payment data from the public Medicare Part D database and extracted drug price information for commonly prescribed targeted oral anticancer agents for lung, breast, and prostate cancer. We then calculated median Pearson correlation coefficient values for various drugs (containing more than two data points) within each therapeutic class. We also calculated compound annual growth rates (CAGRs) for medication costs within each class and compared them with the consumer price index (CPI). RESULTS: Our study included six epidermal growth factor receptor inhibitors (EGFRi; one generic), five anaplastic lymphoma kinase inhibitors (ALKi), two B-Raf inhibitors (BRAFi), three hormonal agents (one generic), three cyclin-dependent kinases 4 and 6 inhibitors (CDK4/6i), two poly-ADP-ribose inhibitors (PARPi), and seven antiandrogen agents (two generic). The median (range) Pearson correlation coefficient values for cost of drugs within each therapeutic class were 0.967 (0.915-0.978) for EGFRi, 0.981 (0.966-0.989) for ALKi, 0.996 for BRAFi, 0.994 (0.992-0.999) for CDK4/6i, 0.855 for PARPi, and 0.442 (-0.522 to 0.962) for antiandrogens. Therapies with two or fewer data points (generic erlotinib, dacomitinib, abiraterone, apalutamide, and darolutamide) were excluded. The median CAGRs in costs over the 5-year period were 4.56% (EGFRi), 6.40% (ALKi), 2.58% (BRAFi), 5.48% (hormonal agents), 5.21% (CDK4/6i), 27.29% (PARPi), and 34.8% (antiandrogens). The CPI over 5 years was 2.26%/year, and the average inflation rate was 1.90%/year. CONCLUSION: The median CAGR in costs for modern oral precision-driven cancer therapeutic classes mostly outpaced CPI and the average inflation. Increase in cost within the same class should be weighed against incremental clinical benefit for the patients to ensure that rising costs do not limit access to targeted therapies.

Site of care potentially limits cost savings from biosimilars.

OBJECTIVES: The first FDA-approved biosimilar was launched in 2015: filgrastim-sndz (Zarxio), a biosimilar for the reference drug filgrastim (Neupogen). Filgrastim is a granulocyte colony-stimulating factor used to prevent and treat neutropenia. In this study, we examined the association between site of care and drug cost across reference filgrastim, tbo-filgrastim (Granix; a version of filgrastim approved as a biosimilar in Europe and as a new drug in the United States), and biosimilar filgrastim administrations among the commercially insured. STUDY DESIGN: Retrospective study using administrative claims data. METHODS: We used OptumLabs Data Warehouse to identify the site of care of each short-acting filgrastim administration among commercial enrollees between January 1, 2014, and December 31, 2019. RESULTS: For each filgrastim product, model-adjusted median drug costs were higher in the outpatient hospital setting than for the same drug administered in the office setting. Comparing drug costs within the same setting, in the office setting, costs of biosimilar and tbo-filgrastim were $103.61 and $94.07 lower than reference filgrastim, respectively (P < .001 for each comparison). In the outpatient hospital setting, adjusted median costs for tbo-filgrastim were lower than those for reference filgrastim (-$132.90; P < .001), but adjusted median costs of the biosimilar were slightly higher ($20.50; P = .025). CONCLUSIONS: Although previous work has found lower costs for biosimilar filgrastim compared with reference filgrastim, here we found that site of care can change this calculus, reducing savings. After adjusting for patient characteristics and geography, we found that drug cost savings for biosimilar filgrastim were limited to the office setting, with no savings in the outpatient hospital setting.

Assessment of fixed-duration therapies for treatment-naïve Waldenström macroglobulinemia.

Comparative data guiding initial therapy for Waldenström macroglobulinemia (WM), an infrequently encountered non-Hodgkin lymphoma, are sparse. We evaluated three commonly used rituximab-based frontline regimens: rituximab-bendamustine (R-Benda); dexamethasone, rituximab, cyclophosphamide (DRC); and bortezomib, dexamethasone, rituximab (BDR) in 220 treatment-naïve patients with WM, seen at Mayo Clinic between November 1, 2000 and October 31, 2019. The median follow-up was 4.5 (95%CI: 4-5) years. The R-Benda cohort (n = 83) demonstrated superior overall response rate (ORR: 98%), in comparison to DRC (n = 92, ORR: 78%) or BDR (n = 45, ORR: 84%) cohorts, p = 0.003. Similarly, longer progression-free survival (PFS) was evident with R-Benda use [median 5.2 vs. 4.3 (DRC) and 1.8 years (BDR), p < 0.001]. The time-to-next therapy (TTNT) favored R-Benda [median, not-reached, 4.4 (DRC) and 2.6 years (BDR), p < 0.001). These endpoints were comparable between the DRC and BDR cohorts. Overall survival (OS) was similar across the three cohorts, p = 0.77. In a subset analysis of 142 patients genotyped for MYD88L265P mutation, the ORR, PFS and TTNT were unaffected by the patients' MYD88 signature within each cohort. In conclusion, ORR, PFS and TTNT with R-Benda are superior compared to DRC or BDR in treatment-naïve patients with active WM. The patient outcomes with any one of these three regimens are unaffected by the MYD88L265P mutation status.

The Impact of Socioeconomic Risk Factors on the Survival Outcomes of Patients With Newly Diagnosed Multiple Myeloma: A Cross-analysis of a Population-based Registry and a Tertiary Care Center.

BACKGROUND: Multiple myeloma (MM) is a heterogeneous clonal plasma cell disorder leading to differences in clinical outcomes such as overall survival (OS) among patients. We hypothesized that with expensive, novel therapeutic agents and paradigm shifts to maintain continuous therapy and improvement in OS, patients with MM are subject to the pressures of financial toxicity and the need for social support, which may be of prognostic importance. MATERIALS AND METHODS: In this study, we examined the records of 122,458 patients from the National Cancer Database (NCDB) to determine the significance of socioeconomic factors such as estimated annual household income and education level, which were based on the patient's ZIP Code and the United States Census Bureau's 5-year report from 2008 to 2012. These socioeconomic factors, in addition to marital status, were then assessed individually and as a cumulative socioeconomic score for prognostic significance in a cohort of 2543 patients treated at a tertiary care center utilizing known biologic risk factors, such as cytogenetic risk, International Staging System classification, and serum lactate dehydrogenase levels. RESULTS: Only marital status and estimated annual household income at diagnosis negatively impacted OS in a univariate analysis, but not in the context of a multivariable analysis incorporating known biologic risk factors. CONCLUSION: Future analyses in other academic and non-academic centers located in urban and rural regions are required to understand the socioeconomic drivers of OS disparity among patients with MM observed nationally.

Financial conflicts of interest among National Comprehensive Cancer Network clinical practice guideline panelists in 2019.

BACKGROUND: Clinical practice guidelines (CPGs) are evidence-based guidelines that serve as a standard of care in oncology practice, reimbursements, and quality improvement initiatives. To our knowledge, the extent of financial conflicts of interest (FCOIs) in National Comprehensive Cancer Network (NCCN) guidelines have not been systemically evaluated. The current study evaluated the extent of FCOIs in the NCCN CPGs for the most common malignancies in the United States. METHODS: The authors examined the latest 2019 versions of the NCCN CPGs for the 10 most common cancers by incidence in the United States. Using disclosure lists, they catalogued the FCOIs for the panelists under various categories outlined in the CPG. The authors also tabulated the companies and institutions involved in each panel disclosure. An "episode" describes 1 instance of participation of a panelist in 1 company in 1 category of each guideline. "Affiliation" describes an industrial, commercial, or institutional affiliation reported by a panelist in each episode. RESULTS: Of the 491 panelists on the CPG panel, 483 (98.3%) completed FCOI disclosures. A total of 224 (46.4%) reported at least 1 FCOI episode. A total of 1103 episodes were disclosed with an average of 4.9 episodes reported per panelist with FCOIs. Acting as part of scientific advisory boards, as a consultant, or as an expert witness was the most common FCOI category (19.9%). A total of 191 companies were associated with 1103 episodes of FCOI. The top companies were Bristol-Myers Squibb, Merck, Genentech, and AstraZeneca. Among cancers, the prevalence of FCOIs was highest for lung cancer (56%), bladder cancer (52%), pancreatic cancer (52%), non-Hodgkin lymphoma (50%), kidney cancer (49%), colorectal cancer (43%), breast cancer (42%), melanoma (40%), prostate cancer (38%), and uterine cancer (32%). Among the panelists with FCOIs, 26%, 17%, and 57%, respectively, reported 1, 2, and >3 episodes. There were 127 episodes noted among the CPG chairs and/or vice chairs who reported FCOIs (mean, 6.4 episodes). The chairs and/or vice chairs of CPGs for uterine cancer, pancreatic cancer, melanoma, and prostate cancer were not found to have any FCOIs. CONCLUSIONS: FCOIs are very prevalent among NCCN CPG panelists. In nearly one-half of the CPGs, the majority of the panelists had at least 1 FCOI. Greater than one-half of the CPG chairs and/or vice chairs reported multiple FCOIs. Further research studies are necessary to determine the impact of these FCOIs.

Influence of Sociodemographic Factors on Treatment Decisions in Non-Small-Cell Lung Cancer.

INTRODUCTION: In stage IV non-small-cell lung cancer (NSCLC), survival has significantly improved. Despite such trends, it has been noted that patients frequently refuse treatment. Therefore, we explored the factors associated with treatment refusal in NSCLC. PATIENTS AND METHODS: Utilizing the National Cancer Data Base (NCDB), we identified all stage IV NSCLC cases from 2004 to 2014. Patients who received cancer treatment outside of the reporting facility were excluded. Multivariable logistic regression models were used to determine associations with treatment refusal. RESULTS: A total of 341,993 patients were identified; 5.4% of patients refused radiotherapy and 10.3% refused chemotherapy despite provider recommendations. The proportion of patients refusing radiotherapy and chemotherapy increased over time from 4.2% to 7.3% and 7.9% to 15%, respectively (P < .001). In multivariable analysis, men were less likely to refuse treatment compared to women (respectively, odds ratio = 0.80; 95% confidence interval, 0.76-0.84; P < .001; odds ratio = 0.82; 95% confidence interval, 0.80-0.85; P < .001, respectively). Factors associated with radiotherapy refusal included: Medicaid or Medicare as primary insurance, uninsured status, low household median income, and lower educational level. Regarding chemotherapy, uninsured patients, Medicaid patients, and patients with a high comorbidity index were more likely to refuse chemotherapy. Asians had lower rates of chemotherapy refusal relative to non-Hispanic whites. Non-Hispanic whites, Hispanics, and Asians had increasing chemotherapy refusal rates over time, while non-Hispanic blacks had less pronounced trends over time. CONCLUSION: Socioeconomic factors rather than race/ethnicity appear to influence the refusal of cancer treatment in patients with stage IV NSCLC. Assessing socioeconomic challenges should be an essential part of patient evaluation when discussing treatment options.

Biosimilar Filgrastim Uptake And Costs Among Commercially Insured, Medicare Advantage.

In 2015 the Food and Drug Administration approved filgrastim-sndz (Zarxio), the first US biosimilar. Following rapid uptake, by March 2018 filgrastim-sndz accounted for 47 percent of filgrastim administrations among commercially insured and 42 percent among Medicare Advantage beneficiaries. The initial cost difference between the originator and biosimilar was 31 percent in the former population but negligible in the latter.

Use of Imaging During Staging and Surveillance of Localized Colon Cancer in a Large Insured Population.

BACKGROUND: Adherence to surveillance guidelines in resected colon cancer has significant implications for patient morbidity, cost of care, and healthcare utilization. This study measured the underuse and overuse of imaging for staging and surveillance in stage I-II colon cancer. METHODS: The OptumLabs database was queried for administrative claims data on adult patients with stage I-II colon cancer who underwent surgery alone in 2008 through 2016. Use of PET and CT imaging was evaluated during both initial staging (n=6,921) and surveillance for patients with at least 1 year of follow-up (n=5,466). "High use" was defined as >2 CT abdominal/pelvic (CT A/P) or PET scans per year during surveillance. RESULTS: Overall, 27% of patients with stage I-II colon cancer did not have a staging CT A/P or PET scan and 95% did not have a CT chest scan. However, rates of staging CT A/P and CT chest scans increased from 62.0% (2008) to 74.8% (2016) and from 2.3% (2008) to 7.1% (2016), respectively. Staging PET use was overall very low (5.2%). During surveillance, approximately 30% of patients received a CT A/P or PET and 5% received a CT chest scan within the first year after surgery. Of patients who had surveillance CT A/P or PET scans, the proportion receiving >2 scans within the first year (high use) declined from 32.4% (2008) to 9.6% (2016) (P = .01). CONCLUSIONS: Although PET use remains appropriately low, many patients with stage I-II colon cancer do not receive appropriate staging and surveillance CT chest scans. Among those who do receive these scans during surveillance, high use has declined significantly over time.

Rapid assessment of hyperdiploidy in plasma cell disorders using a novel multi-parametric flow cytometry method.

Trisomies of odd numbered chromosomes are seen in nearly half of patients with multiple myeloma (MM) and typically correlate with a hyperdiploid state and better overall survival (OS). We compared DNA ploidy of monoclonal plasma cells (as a surrogate for the presence of trisomies) assessed simultaneously by PCPRO (plasma cell proliferative index), a novel method that estimates DNA index by multi-parametric flow cytometry to fluorescence in situ hybridization (FISH) in 1703 patients with plasma cell disorders. The distribution of ploidy was hyperdiploid: 759 (45%), diploid 765 (45%), hypodiploid: 71 (4%), tetraploid/near-tetraploid: 108 (6%). FISH identified trisomies in 82% (621/756) of patients with hyperdiploidy by PCPRO and no trisomy by FISH was observed in 88% (730/834) of patients without hyperdiploidy. 95% (795/834) of patients without hyperdiploidy on PCPRO had one or less trisomy by FISH. Sensitivity and specificity of PCPRO for detecting hyperdiploidy was 86% (621/725) and 84% (730/865), respectively. Sensitivity increased to 94% (579/618) for patients with more than one trisomy. Newly diagnosed MM patients with hyperdiploidy on PCPRO (147/275) had better OS compared to nonhyperdiploid patients (median not reached vs 59 months, P = 0.008) and better progression free survival (median: 33 vs 23 months, P = 0.03). Within the hyperdiploidy group, patients with high-hyperdiploidy (DNA index: 1.19-1.50) versus those with low-hyperdiploidy (DNA index: 1.05-1.18) had superior OS (3 year OS of 88% vs 68% P = 0.03). Ploidy assessment by flow cytometry can provide rapid, valuable prognostic information and also reduces the number of copy number FISH probes required and hence the cost of FISH.

Commentary: Race and Ethnicity in Biomedical Research - Classifications, Challenges, and Future Directions.

The use of race and ethnicity in biomedical research has been a subject of debate for the past three decades. Initially the two major race categories were: White and Black, leaving other minorities uncounted or inappropriately misclassified. As the science of health disparities evolves, more sophisticated and detailed information has been added to large databases. Despite the addition of new racial classifications, including multi-racial denominations, the quality of the data is limited to the data collection process and other social misconceptions. Although race is viewed as an imposed or ascribed status, ethnicity is an achieved status, making it a more challenging variable to include in biomedical research. Ambiguity between race and ethnicity often exists, ultimately affecting the value of both variables. To better understand specific health outcomes or disparities of groups, it is necessary to collect subgroup-specific data. Cultural perceptions and practices, health experiences, and susceptibility to disease vary greatly among broad racial-ethnic groups and requires the collection of nuanced data to understand. Here, we provide an overview of the classification of race and ethnicity in the United States over time, the existing challenges in using race and ethnicity in biomedical research and future research directions.

Sex-based disparities in venous thromboembolism outcomes: A National Inpatient Sample (NIS)-based analysis.

Venous thromboembolism (VTE) contributes to significant morbidity, mortality, and socioeconomic burden. There is a paucity of literature regarding sex-based sociodemographic differences in VTE presentation and short-term outcomes. We aimed to compare clinical outcomes between men and women hospitalized for VTE management. We performed a retrospective analysis using data from the National Inpatient Sample (NIS) database from 2012 to 2013. Inclusion criteria were age 18 years and older and a primary discharge diagnosis of VTE. Sociodemographic features and medical comorbidities were analyzed, as were hospital length of stay and in-hospital mortality rates. A total of 107,896 patients met the inclusion criteria; 53% were female. Median age was 65 years (interquartile range 51-77) and women were older than men (65 vs 62 years, p<0.001). There were significant differences between men and women with respect to race, primary insurance payer and medical comorbidities, and small differences with respect to VTE location. Female sex was associated with a small but significantly longer hospital length of stay (mean ratio 1.04, 95% CI 1.03-1.05, p<0.001) but no significant difference in in-hospital mortality (2.2% vs 2.1%, p=0.15). In a multivariate model, there was no significant difference between women and men with respect to hospital length of stay or in-hospital mortality. In conclusion, we used data from the NIS to study over 100,000 patients hospitalized for VTE, and identified several sex-based disparities in sociodemographic factors and location of VTE. However, in a multivariable analysis correcting for these factors, sex was not associated with significant differences in clinical outcomes.

Exploring Big Data in Hematological Malignancies: Challenges and Opportunities.

Secondary analysis of large datasets has become a useful alternative to address research questions outside the reach of clinical trials. It is increasingly utilized in hematology and oncology. In this review, we provided an overview of some examples of commonly used large datasets in the USA and described common research themes that can be pursued using such a methodology. We selected a sample of 14 articles on adult hematologic malignancies published in 2015 and highlighted their contributions as well as limitations.