Racial Disparities in the Utilization of Novel Agents for Frontline Treatment of Multiple Myeloma

Treatment Access among Younger Medicaid Beneficiaries with Multiple Myeloma

PURPOSE

Continuous Medicaid coverage prior to a cancer diagnosis has been associated with earlier detection and better outcomes, for patients with solid tumors. In this study, we aimed to determine if this was observed among patients with multiple myeloma, a hematologic cancer where there are no routine screening tests and most are diagnosed through acute medical events.

MATERIALS AND METHODS

This is an analysis of the Merative MarketScan Multistate Medicaid Database, a claims-based dataset. In total, 1105 patients < 65 years old were included in the analyses. Among them, 66% had continuous enrollment (at least 6 months enrollment prior to myeloma), and 34% had discontinuous enrollment (2-6 months enrollment prior to myeloma). Multivariable Cox regression was used to estimate the association between continuous enrollment status and receipt of myeloma treatment within 1 year of index date.

RESULTS

Only 54% of all Medicaid enrollees received myeloma therapy and only 12% received stem cell transplant within the 1st year. Those with continuous enrollment were less likely to receive any treatment (adjusted hazard ratio [aHR] 0.59; 95% confidence interval [CI] 0.59-0.70; P < .001) and to receive stem cell transplant (aHR 0.51; 95% CI 0.32-0.81; P = .005).

CONCLUSION

Patients with continuous Medicaid coverage prior to diagnosis were less likely to receive myeloma therapy. Future studies should examine whether myeloma patients with continuous Medicaid enrollment have more chronic financial instability and/or higher medical needs and, thus, have higher barriers to care.

Role of Patient Characteristics and Insurance Type in Newly Diagnosed Multiple Myeloma Care Disparities

PURPOSE

Little is known about the role of social determinants of health (SDOH) in the utilization of novel treatments among patients with newly diagnosed multiple myeloma (NDMM).

METHODS

This retrospective cohort study used Taussig Cancer Center's Myeloma Patient Registry to identify adults with NDMM between January 1, 2017, and December 31, 2021. Electronic health records data captured treatment with (1) triplet or quadruplet regimen and (2) lenalidomide during the first year after NDMM, and (3) stem-cell transplant (SCT) through December 31, 2022. Multivariable logistic regression models examined associations of demographic/clinical characteristics and SDOH with care patterns.

RESULTS

We identified 569 patients with median age at diagnosis of 66 years (IQR, 59-73); 55% were male, 76% White, 23% Black, 1.1% other races, insured by Medicare (51%), private payer (38%), Medicaid (8.3%), and self-pay/other (1.8%). In the multivariable models, self-pay/other payers (adjusted odds ratio [AOR], 0.15 [95% CI, 0.03 to 0.54]) was associated with lower odds of triplet or quadruplet regimen, compared with Medicare. Private insurance (AOR, 0.48 [95% CI, 0.27 to 0.86]) and self-pay/other payers (AOR, 0.16 [95% CI, 0.04 to 0.74]) had lower odds of lenalidomide. Black patients (v White; AOR, 0.47 [95% CI, 0.26 to 0.85]) and patients treated at regional hospitals (v Taussig Cancer Center; AOR, 0.27 [95% CI, 0.12 to 0.57]) had lower odds of SCT. The odds of receiving triplet or quadruplet regimen, lenalidomide, and SCT also varied by the year of NDMM.

CONCLUSION

Care for NDMM varied based on race, insurance type, year of diagnosis, and treatment facility. It may be useful to examine the impact of insurance-related characteristics and recent policy initiatives on care disparities.

Clinical characteristics, treatment patterns, and outcomes among African American and White patients with multiple myeloma in the United States

Multiple myeloma (MM) is more common among Black/African American (AA) patients than White patients, but survival rate improvements are less pronounced for AA patients. This study evaluated treatment patterns and survival among 1810 AA and 5904 White adults in the United States with ≥1 MM treatment and ≥3 months of follow-up. Median time from diagnosis to systemic treatment was longer (37 [0-3053] vs. 35 [0-3664] days) and median time to stem cell transplant (SCT) was longer for AA than White patients (255 [1-2352] vs. 225 [1-3094] days), and AA patients were less likely to receive SCT (odds ratio [OR]: 0.66; 95% confidence interval [CI]: 0.58-0.76). Despite disparities in treatment between AA and White patients, AA patients demonstrated lower risk of death (OR: 0.89; 95% CI: 0.81-0.96). These data highlight the value of equal access to care for the improvement of health outcomes in underserved populations.

Addressing the disparities: the approach to the African American patient with multiple myeloma

There are significant disparities with regards to incidence, timely diagnosis, access to treatment, clinical trial participation and health care utilization that negatively impact outcomes for African American patients with multiple myeloma. Health care providers have a role in ameliorating these disparities with thoughtful consideration of historical, sociocultural, individual and disease characteristics that influence the care provided to African American patient population. This review by a group of experts committed to health disparity in multiple myeloma provides a snapshot of disparities at both biologic and non-biologic levels, barriers to clinical care, and best practices to ensure that African American patients receive the best care available.

Approaches to developing de novo cancer population models to examine questions about cancer and race in bladder, gastric, and endometrial cancer and multiple myeloma: the Cancer Intervention and Surveillance Modeling Network incubator program

BACKGROUND

We are developing 10 de novo population-level mathematical models in 4 malignancies (multiple myeloma and bladder, gastric, and uterine cancers). Each of these sites has documented disparities in outcome that are believed to be downstream effects of systemic racism.

METHODS

Ten models are being independently developed as part of the Cancer Intervention and Surveillance Modeling Network incubator program. These models simulate trends in cancer incidence, early diagnosis, treatment, and mortality for the general population and are stratified by racial subgroup. Model inputs are based on large population datasets, clinical trials, and observational studies. Some core parameters are shared, and other parameters are model specific. All models are microsimulation models that use self-reported race to stratify model inputs. They can simulate the distribution of relevant risk factors (eg, smoking, obesity) and insurance status (for multiple myeloma and uterine cancer) in US birth cohorts and population.

DISCUSSION

The models aim to refine approaches in prevention, detection, and management of 4 cancers given uncertainties and constraints. They will help explore whether the observed racial disparities are explainable by inequities, assess the effects of existing and potential cancer prevention and control policies on health equity and disparities, and identify policies that balance efficiency and fairness in decreasing cancer mortality.

Disparities in Multiple Myeloma Treatment Patterns in the United States: A Systematic Review

We performed a systematic review of the literature investigating the demographic and insurance-related factors linked to disparities in multiple myeloma (MM) care patterns in the United States from 2003 to 2021. Forty-six observational studies were included. Disparities in MM care patterns were reported based on patient race in 76% of studies (34 out of 45 that captured race as a study variable), ethnicity in 60% (12 out of 20), insurance in 77% (17 out of 22), and distance from treating facility, urbanicity, or geographic region in 62% (13 out of 21). A smaller proportion of studies identified disparities in MM care patterns based on other socioeconomic characteristics, with 36% (9 out of 25) identifying disparities based on income estimate or employment status and 43% (6 out of 14) based on language barrier or education-related factors. Sociodemographic characteristics are frequently associated with disparities in care for individuals diagnosed with MM. There is a need for further research regarding modifiable determinants to accessing care such as insurance plan design, patient out-of-pocket costs, preauthorization criteria, as well as social determinants of health. This information can be used to develop actionable strategies for reducing MM health disparities and enhancing timely and high-quality MM care.

Culturally Responsive Care Delivery in Oncology: The Example of Multiple Myeloma

Multiple myeloma (MM) represents ∼1% of all cancers and is the second most common hematologic malignancy worldwide. The incidence of MM is at least two times higher in Blacks/African Americans compared with their White counterparts, and Hispanics/Latinxs are among the youngest patients diagnosed with the disease. Recent advances in available treatments for MM have demonstrated significant improvement in survival outcomes; however, patients from non-White racial/ethnic groups clinically benefit less due to multiple factors including access to care, socioeconomic status, medical mistrust, underutilization of novel therapies, and exclusion from clinical trials. Health inequities in disease characteristics and risk factors based on race also contribute to inequities in outcomes. In this review, we highlight racial/ethnic factors as well as structural barriers attributed to variations in MM epidemiology and management. We focus on three populations-Black/African American, Hispanic/Latinx, and American Indian/Alaska Native-and review factors that healthcare professionals may consider when treating patients of color. We offer tangible advice for healthcare professionals on how to incorporate cultural humility into their practice by following the five key steps: establishing trust, respecting cultural diversity, undergoing cross-cultural training, counseling patients on appropriate available clinical trial options, and connecting patients to community resources. The outlined recommendations will help the medical community to better understand and apply the important concept of cultural humility into their practice to provide the best care for all their patients, regardless of race/ethnicity.

Dynamic frailty risk assessment among older adults with multiple myeloma: A population-based cohort study

Multiple myeloma (MM) is a cancer of older adults and those who are more frail are at high risk of poor outcomes. Current tools for identifying and categorizing frail patients are often static and measured only at the time of diagnosis. The concept of dynamic frailty (i.e. frailty changing over time) is largely unexplored in MM. In our study, adults with newly-diagnosed MM who received novel drugs between the years 2007-2014 were identified in the Surveillance, Epidemiology, and End Results (SEER)-Medicare linked databases. Using a previously published cumulative deficit approach, a frailty index score was calculated at diagnosis and each landmark interval (1-yr, 2-yr, 3-yr post diagnosis). The association of frailty with overall survival (OS) both at baseline and at each landmark interval as well as factors associated with worsening frailty status over time were evaluated. Overall, 4617 patients were included. At baseline, 39% of the patients were categorized as moderately frail or severely frail. Among those who had 3 years of follow-up, frailty categorization changed post diagnosis in 93% of the cohort (78% improved and 72% deteriorated at least at one time point during the follow up period). In a landmark analysis, the predictive ability of frailty at the time of diagnosis decreased over time for OS (Harrell's C Statistic 0.65 at diagnosis, 0.63 at 1-yr, 0.62 at 2-yr, and 0.60 at 3-yr) and was inferior compared to current frailty status at each landmark interval. Our study is one of the first to demonstrate the dynamic nature of frailty among older adults with MM. Frailty may improve or deteriorate over time. Current frailty status is a better predictor of outcomes than frailty status at time of diagnosis, indicating the need for re-measurement in this high-risk patient population.

Health disparity in use of novel agents for first-line therapy in Black and White patients with chronic lymphocytic leukemia in the Department of Veterans Affairs

BACKGROUND: Novel agents (NAs) (ibrutinib, idelalisib, and venetoclax) were first introduced in 2013 as therapeutic options to treat chronic lymphocytic leukemia (CLL). OBJECTIVES: To determine if the uptake of NAs for first-line treatment was similar in Black and White patients with CLL treated in the Department of Veterans Affairs (VA). METHODS: We conducted a retrospective cohort study including adults with CLL managed in the VA from October 1, 2013, to September 30, 2017. Descriptive statistics were used to summarize demographic data, and appropriate bivariable statistical tests were used to compare NA use, baseline characteristics, health outcomes, and complications. A multivariable logistic regression model was used to identify factors associated with uptake of NAs. The study included 565 patients; 86% were White and 14% were Black. Black patients were younger than White patients (median age [66 vs 69 years; P < 0.01]) but had similar median baseline Charlson comorbidity scores (4 vs 5). RESULTS: Overall, Black patients were less likely to receive NAs than White patients (14% vs 26%; P = 0.02). The gap narrowed over the study period: 4% vs 17% (2014), 13% vs 25% (2015), 17% vs 33% (2016), and 31% vs 33% (2017). Black race (P = 0.02) and fiscal year (P < 0.01) were the only variables significantly associated with NA use in the multivariable model. Health outcomes and most complications were similar for Black and White patients despite the difference in prescribing patterns. CONCLUSIONS: This is the first study to identify a potential health disparity with respect to use of NAs among Black and White patients with CLL treated in the VA. Fortunately, health outcomes and most complications were similar for Black and White patients despite the difference in prescribing patterns. DISCLOSURES: Funding for the study was provided by AstraZeneca as a research grant to the Foundation for Advancing Veterans' Health Research (FAVHR), a non-profit entity within the Audie L. Murphy Veterans Hospital, San Antonio, TX. Drs Nooruddin and Frei have received research grants (paid to FAVHR) from AstraZeneca in the last 3 years. Ms Ryan is an employee of AstraZeneca. The views expressed in this article are those of the authors and do not necessarily represent the views of the Department of Veterans Affairs, the National Institutes of Health, or the authors' affiliated institutions.

Patient characteristics, treatment patterns, and outcomes among black and white patients with multiple myeloma initiating daratumumab: A real-world chart review study

BACKGROUND

Daratumumab was approved for multiple myeloma (MM) in 2015. While its safety and efficacy are well documented, there is limited real-world information on its use and outcomes in patients of different races.

METHODS

We conducted a retrospective chart review of adult patients with MM initiating daratumumab in any line of therapy (LOT) between November 2015 and May 2020. De-identified data were retrieved from 2 US clinical sites; patient characteristics, treatment patterns, and response rate were described for black and white patients, stratified by LOT. Overall response rate (ORR), progression-free survival (PFS), and time to next LOT (TTNT) were compared between black and white patients initiating daratumumab in second line (2L) or later, adjusting for age and number of prior lines.

RESULTS

Two hundred and fifty-two patient charts (89 black, 163 white) were extracted. Black patients were younger at diagnosis (61.7 vs. 67.0 years) and had a similar proportion of females (black: 44.9%, white: 46.6%). Black patients had longer time between MM diagnosis and daratumumab initiation (43.2 vs. 34.1 months) and received more prior LOTs (median 3.0 vs. 2.0). ORR for black and white patients initiating daratumumab in 1L was 100.0%, with very good partial response or better in 75.0% and 66.7%, respectively. Similar trends were observed in 2L and 3L+. There were no significant differences in ORR, PFS, or TTNT between groups.

CONCLUSION

Daratumumab had similar clinical outcomes (ORR, PFS, and TTNT) in black and white patients. Black patients initiated daratumumab later in their treatment, suggesting potential discrepancies in access to new MM treatments.

Black patients with multiple myeloma have better survival than white patients when treated equally: a matched cohort study

We assessed differences in survival between non-Hispanic black (NHB) and non-Hispanic white (NHW) patients with multiple myeloma (MM), and the sequential effects of patient characteristics, and diagnosis and treatment-related factors on the survival disparity using data from 3319 NHB and 20,831 NHW MM patients in the SEER-Medicare (1999-2017) database. Four sets of 3319 NHWs were matched sequentially to the same set of 3319 NHBs, based on demographics (age, sex, year of diagnosis, marital status, and SEER site), socioeconomic status (SES, demographics plus SES), presentation factors (SES variables plus comorbidity), and treatment factors (presentation variables plus antimyeloma therapies). We found NHBs were less likely to receive treatment than NHWs even among patients matched for demographics, SES, and comorbidities. The absolute difference in 5-year survival between NHBs and NHWs was not significant in the demographics match (0.6%; P = 0.30) and remained non-significant after matching for SES (1.4%, P = 0.17). When matching for presentation, NHBs had significantly longer 5-year survival than NHWs (absolute difference = 3.8%, P = 0.003). Additional matching on treatment-related factors further enlarged the racial difference in 5-year survival to 4.6% (P < 0.001). Our findings reinforce the importance of equitable access to effective treatment modalities to further improve the survival of NHB patients with MM.

Employment of Artificial Intelligence Based on Routine Laboratory Results for the Early Diagnosis of Multiple Myeloma

Objective

In order to enhance the detection rate of multiple myeloma and execute an early and more precise disease management, an artificial intelligence assistant diagnosis system is developed.

Methods

4,187 routine blood and biochemical examination records were collected from Shengjing Hospital affiliated to China Medical University from January 2010 to January 2020, which include 1,741 records of multiple myeloma (MM) and 2,446 records of non-myeloma (infectious diseases, rheumatic immune system diseases, hepatic diseases and renal diseases). The data set was split into training and test subsets with the ratio of 4:1 while connecting hemoglobin, serum creatinine, serum calcium, immunoglobulin (A, G and M), albumin, total protein, and the ratio of albumin to globulin data. An early assistant diagnostic model of MM was established by Gradient Boosting Decision Tree (GBDT), Support Vector Machine (SVM), Deep Neural Networks (DNN), and Random Forest (RF). Out team calculated the precision and recall of the system. The performance of the diagnostic model was evaluated by using the receiver operating characteristic (ROC) curve.

Results

By designing the features properly, the typical machine learning algorithms SVM, DNN, RF and GBDT all performed well. GBDT had the highest precision (92.9%), recall (90.0%) and F1 score (0.915) for the myeloma group. The maximized area under the ROC (AUROC) was calculated, and the results of GBDT (AUC: 0.975; 95% confidence interval (CI): 0.963–0.986) outperformed that of SVM, DNN and RF.

Conclusion

The model established by artificial intelligence derived from routine laboratory results can accurately diagnose MM, which can boost the rate of early diagnosis.