Association between race and treatment patterns and survival outcomes in multiple myeloma: A Connect MM Registry analysis

Real-world multiple myeloma risk factors and outcomes by non-Hispanic Black/African American and non- Hispanic White race/ethnicity in the United States

Examination of the impact of race and ethnicity on multiple myeloma (MM) outcomes has yielded inconsistent results. This retrospective, real-world (RW) study describes patient, disease, and treatment characteristics (and associations with survival outcomes) among newly diagnosed MM patients of non-Hispanic (NH) Black/African American (AA) and NH White race/ethnicity in the US. We included patients from the nationwide Flatiron Health electronic health record-derived de-identified database who initiated first line of therapy (LOT) for MM between January 1, 2016 and March 31, 2022. Of 4,614 patients in our study cohort, 23.3% were NH Black/AA. Non-Hispanic Black/AA patients were younger than NH White patients at diagnosis (median 68 vs. 71 years) and more likely to be female (53.4% vs. 43.5%). Rates of high-risk cytogenetics and 1q21+ were similar between races/ethnicities. The most common primary regimen used was lenalidomide-bortezomib-dexamethasone (50.1% of NH Black/AA and 48.1% of NH White patients). Receipt of stem cell transplantation during first LOT was less common among NH Black/AA (16.5%) than NH White (21.9%) patients. Unadjusted RW progression-free survival (rwPFS) and overall survival (rwOS) were similar between races/ethnicities. After multivariable adjustment, NH Black/AA race/ethnicity was associated with slightly inferior rwPFS (hazard ratio [HR]=1.13; 95% confidence interval [CI]: 1.01-1.27). The difference in rwOS (HR=1.12; 95% CI: 0.98-1.28) was not statistically significant. In general, associations between risk factors for rwPFS and rwOS were consistent between races/ethnicities. Findings from this analysis help to inform clinicians about the impact of race/ethnicity on MM treatment paradigms and outcomes in the US.

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.

"They don't care to study it": Trust, race, and health care experiences among patient-caregiver dyads with multiple myeloma

BACKGROUND

Medical mistrust, rooted in unethical research, is a barrier to cancer-related health care for Black/African American (AA) persons. Understanding trust, mistrust, and health care experiences is crucial, especially in multiple myeloma (MM), which disproportionately burdens Black/AA persons in incidence and survival.

STUDY PURPOSE

This study qualitatively examines the experiences of Black/AA and White dyads (patient with MM and adult caregiver) to gain insights into these phenomena.

METHODS

From November 2021 to April 2022, we recruited 21 dyads from the UNC Lineberger Comprehensive Cancer Center. Participants completed a sociodemographic survey and a 60-90 min semi-structured interview. We used ATLAS.ti v9 for project management and to facilitate data analysis using the Sort and Sift, Think and Shift approach (ResearchTalk Inc).

RESULTS

We interviewed 21 racially concordant dyads (11 Black/AA, 10 White) with mean patient ages of 70 (Black/AA) and 72 (White) at enrollment. Both Black/AA and White caregivers had a mean enrollment age of 68. The mean duration from MM diagnosis to enrollment for all patients was 5.5 years. Four key themes emerged: (1) knowledge and trust, (2) heightened emotions and discomfort, (3) differing mental constructs of health care experiences, and (4) mitigating mistrust, which varied by self-identified race. Black/AA participants had greater knowledge of historical events like the U.S. Public Health Service Untreated Syphilis Study at Tuskegee and carried the emotional burden longer. They also emphasized self-learning and self-guided research about MM for informed medical decision-making. Both Black/AA and White dyads emphasized the pivotal role of patient-provider relationships and effective communication in fostering trust and addressing concerns.

CONCLUSION

Our study offers contextual insights into the enduring challenges of medical mistrust, particularly within the Black/AA community, and its implications for patients and caregivers accessing and receiving MM-related care. Future studies should leverage these insights to guide the development of multilevel interventions addressing medical mistrust within the Black/AA community.

Disparities in Multiple Myeloma Mortality Rate Trends by Demographic Status in the USA

Background/Aim

Multiple myeloma (MM) is a hematological malignancy that arises when plasma cells undergo malignant monoclonal proliferation. This study aimed to assess the demographic disparities and temporal trends in the mortality rates of this disease.

Patients and Methods

We employed the Center for Disease Control and Prevention's Wide-ranging ONline Data for Epidemiologic Research (CDC WONDER) database.

Results

We found that for the overall U.S. population, the age-adjusted mortality rate per 1,000,000 (AAMR) decreased from 1999 to 2020. However, rates differed between demographic groups. In addition, we sought to find a significant average annual percent change (AAPC) in mortality rate from 1999 to 2020 for various demographic populations and compared groups to find disparities in mortality rate trend. In 2020, the AAMR due to MM was 38.0 and for women 24.1. The AAPC in AAMR from 1999 to 2020 in men was -1.0% (95%CI=-1.3 to -0.7) and in women was -1.6% (95%CI=-1.6 to -2.3). A significant difference in trend by sex was found, where women had a higher rate of decline. In 2020, the AAMR for the American Indian or Alaska Native (AI/AN) population was 15.0, the Asian American and Pacific Islander (AAPI) had 14.8, the Black and African American population had an AAMR of 55.6 and the White population had an AAMR of 28.1. The AAPC for the AI/AN population was -2.2% (95%CI=-3.5 to -0.9), for the AAPI population it was -0.9% (95%CI=-1.5 to -0.4), the Black and African American population had -1.5% (95%CI=-2.2 to -0.8) and the AAPC for the White population was -1.1% (95%CI=-1.6 to -0.6). A significant difference in trend of decline was found between the AAPI and Black and African American populations and between the AI/AN and Black and African American populations. When assessing the U.S. by states, the mid-southeast U.S. had the greatest density of the states with high AAMRs.

Conclusion

These findings suggest which populations are at increased risk for mortality due to multiple myeloma and where we should apply additional resources and research.

Expanding Myeloma Training and Care in Western Kenya Through the ECHO Model: The Pilot Phase

PURPOSE

Multiple myeloma (MM) in rural western Kenya is characterized by under and late diagnosis with poor long-term outcomes. Inadequate skilled rural health care teams are partly to blame. The Extension for Community Healthcare Outcomes (ECHO) model attempts to bridge this skills gap by linking rural primary/secondary health care teams (spokes) to myeloma experts in a tertiary care center (hub) in a longitudinal training program.

METHODS

A hub team comprising myeloma experts and administrators from Moi Teaching and Referral Hospital/Academic Model Providing Access to Healthcare was assembled and spoke sites were recruited from rural health care facilities across western Kenya. A curriculum was developed by incorporating input from spokes on their perceived skills gaps in myeloma. Participants joined sessions remotely through virtual meeting technology. ECHO sessions consisted of a spoke-led case presentation with guided discussion followed by an expert-led lecture. An end-of-program survey was used to evaluate participant satisfaction, knowledge, and practice patterns.

RESULTS

A total of eight sessions were conducted between April and November 2021 with a median of 40 attendees per session drawn from diverse health care disciplines. Twenty-four spoke sites were identified from 15 counties across western Kenya. The majority of attendees reported satisfaction with the ECHO program (25 of 29) and improvement in their myeloma knowledge (24 of 29). There were 74 new myeloma diagnoses made at the hub site in 2021, representing a 35% increase from the previous 3-year average despite the COVID-19 pandemic that suppressed health care access globally.

RECOMMENDATIONS

The pilot ECHO model was successfully implemented in myeloma training for rural-based health care teams. Key attributes included collaborative curriculum development, interactive case-based bidirectional learning, and multidisciplinary engagement.

Overall Survival in Patients With Multiple Myeloma in the U.S.: A Systematic Literature Review of Racial Disparities

Multiple myeloma (MM) accounts for 10% of hematologic cancers in the U.S.; however, incidence and mortality occur disproportionately between racial groups in real-world settings. Our study's objective was to systematically characterize the disparities in overall survival (OS) among Black and White patients with MM in the US using real-world evidence studies. A systematic literature review was undertaken by searching Embase and MEDLINE for observational studies conducted in the US, published between January 1, 2015 and October 25, 2021, and reporting OS for Black and White patients with MM. Records were reviewed by 2 independent researchers. OS data were extracted as hazard ratios (HR), median survival, or %, with methods of adjustment, as reported. Evidence quality was assessed by data source, population, and variables for which HRs for risk of death were adjusted. We included 33 US studies comprising 410,086 patients (21.5% Black; 78.5% White) with MM. Receipt of treatment varied; however, most studies reported that patients either underwent stem cell transplant and/or received systemic therapy. HRs from 9 studies were considered "high quality" by comparing nationally representative, generalizable cohorts and adjusting for key prognostic, treatment, and/or socioeconomic factors. After adjustment, these data suggested that Black patients exhibit similar or superior survival outcomes compared with their White counterparts. When data are adjusted for important confounders, Black patients exhibit better or equal survival to White patients, indicating that similarities in patient populations and equal access to treatment can bridge the disparity in patient outcomes between races.

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.

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.

Global disparities in patients with multiple myeloma: a rapid evidence assessment

There are disparities in outcomes for patients with multiple myeloma (MM). We evaluated the influence of sociodemographic factors on global disparities in outcomes for patients with MM. This rapid evidence assessment (PROSPERO, CRD42021248461) followed PRISMA-P guidelines and used the PICOS framework. PubMed and Embase® were searched for articles in English from 2011 to 2021. The title, abstract, and full text of articles were screened according to inclusion/exclusion criteria. The sociodemographic factors assessed were age, sex, race/ethnicity, socioeconomic status, and geographic location. Outcomes were diagnosis, access to treatment, and patient outcomes. Of 84 articles included, 48 were US-based. Worldwide, increasing age and low socioeconomic status were associated with worse patient outcomes. In the US, men typically had worse outcomes than women, although women had poorer access to treatment, as did Black, Asian, and Hispanic patients. No consistent disparities due to sex were seen outside the US, and for most factors and outcomes, no consistent disparities could be identified globally. Too few studies examined disparities in diagnosis to draw firm conclusions. This first systematic analysis of health disparities in patients with MM identified specific populations affected, highlighting a need for additional research focused on assessing patterns, trends, and underlying drivers of disparities in MM.

Heart Failure Among Patients with Multiple Myeloma Treated with Carfilzomib-Based Versus Non-Carfilzomib-Based Regimens in the United States by Race

BACKGROUND

Carfilzomib treatment for multiple myeloma (MM) can increase heart failure risk. Whether this risk differs by race is unknown.

PATIENTS AND METHODS

We sought to estimate the incidence rates (IRs) of heart failure hospitalization among mostly 65-years-and-older US patients with MM by race treated with carfilzomib- and non-carfilzomib-based regimens in the real-world using Centers for Medicare & Medicaid Services Medicare Fee-for-Service data, Optum Clinformatics Data Mart, and Humana Research Database. The risk of heart failure hospitalization associated with a carfilzomib-based regimen was evaluated using propensity score matching among Black and White patients receiving second or later lines of therapy.

RESULTS

Most patient-episodes (88%) were in persons 65 years or older for the 3 cohorts combined. The IR (95% CI) of heart failure hospitalization was higher for patient-episodes treated with a carfilzomib-based regimen than those with a non-carfilzomib-based regimen for both White (14.5 [12.2-17.0] vs. 10.7 [10.3-11.2] events per person-years) and Black patients (15.8 [10.1-23.5] vs. 12.1 [10.9-13.4] events per person-years) in the Medicare cohort. After propensity score matching, the hazard ratio (95% CI) of increased heart failure hospitalization comparing carfilzomib-based to non-carfilzomib-based regimens for White patients (1.6 [1.3-2.0]) was similar to that of Black patients (1.7 [1.0-2.9]) in the Medicare Database, and in the Humana Database (1.4 [0.8-2.6] and 1.2 [0.4-3.5], respectively).

CONCLUSION

Although the IR of heart failure among patients with MM treated with a carfilzomib-based regimen was slightly higher, no evidence suggested the relative risk was different between White and Black patients with MM.

TCR gene segment usage and HLA alleles that are associated with cancer survival rates also represent racial disparities

Understanding racial disparities in cancer outcomes continues to be a challenge, with likely many factors at play, including socioeconomic factors and genetic polymorphisms impacting basic cellular and molecular functions. Additionally, it is possible that specific combinations of environment and genetics have specific impacts. T-cell receptor (TCR) gene segment usage, HLA allele combinations have been associated with autoimmune and infectious disease courses, and more recently, TCR gene segment usage, HLA allele combinations have been associated with distinct survival outcomes in cancer as well. We examined several such, previously reported cancer-related TCR gene segment usage, HLA allele combinations for evidence of racial disparities, with regard to the prevalence of the combination in different racial groups. Results indicated that TCR gene segment usage, potentially reflecting environmental factors related to previous pathogen exposure, in combination with certain HLA alleles or independently, may represent a novel explanation for racial disparities in cancer outcomes. Overall, at this point, a genetic connection to racial disparities in cancer outcomes is detectable but remains modest, suggesting that other factors, such as socioeconomic factors, remain as important considerations.

Socioeconomic status-based survival disparities and nomogram prediction for patients with multiple myeloma: Results from American and Chinese populations

Objective

This study aimed to comprehensively investigate the relationship between the survival differences and socioeconomic status (SES) in patients with multiple myeloma (MM) and construct a predictive nomogram to assess clinical outcomes of MM patients.

Methods

The Surveillance, Epidemiology, and End Results (SEER) census tract-level SES database provides two specialized attributes: SES index and rurality. Using this database, 37,819 patients diagnosed with MM between January 2007 and December 2016 were enrolled. We evaluated the effects of SES index on overall survival (OS) and myeloma-specific survival (MSS) using Kaplan-Meier curves and Cox regression analyses. Thereafter, we included 126 patients with MM from two independent medical centers in China and divided them into training (Center 1) and validation (Center 2) cohorts. Univariate and multivariate Cox analyses were used in the training cohort to construct a nomogram for predicting clinical outcomes. Nomogram performance was assessed using the area under the curve (AUC) and calibration curves.

Results

In the SEER cohort, lower SES was significantly associated with worse OS rates and MSS rates (both P < 0.001). Multivariate analysis confirmed SES as an independent predictor of survival. Subgroup analysis indicated an increasing linear trend in survival benefits in non-Hispanic White, married, insured, and urban populations with increasing SES (all P < 0.001). In the training cohort, albumin, creatinine, rurality, and SES were confirmed as independent prognostic indicators. A nomogram for OS prediction was developed using these four factors, and it showed satisfactory discrimination and calibration. The 18- and 36-month AUC values of the nomogram were 0.79 and 0.82, respectively. Based on the total nomogram points, patients were categorized into two risk levels with good separation.

Conclusion

SES strongly influences survival disparities in patients with MM. Our nomogram consisting of clinical and sociodemographic characteristics can potentially predict survival outcomes.

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.

Building a Sustainable Comprehensive Multiple Myeloma Program in Western Kenya

Despite improved treatment strategies for multiple myeloma (MM), patient outcomes in low- and middle-income countries remain poor, unlike high-income countries. Scarcity of specialized human resources and diagnostic, treatment, and survivorship infrastructure are some of the barriers that patients with MM, clinicians, and policymakers have to overcome in the former setting. To improve outcomes of patients with MM in Western Kenya, the Academic Model Providing Access to Healthcare (AMPATH) MM Program was set up in 2012. In this article, the program's activities, challenges, and future plans are described distilling important lessons that can be replicated in similar settings. Through the program, training on diagnosis and treatment of MM was offered to healthcare professionals from 35 peripheral health facilities across Western Kenya in 2018 and 2019. Access to antimyeloma drugs including novel agents was secured, and pharmacovigilance systems were developed. Finally, patients were supported to obtain health insurance in addition to receiving peer support through participation in support group meetings. This article provides an implementation blueprint for similar initiatives aimed at increasing access to care for patients with MM in underserved areas.

Retrospective Analysis of Presentation, Treatment, and Outcomes of Multiple Myeloma at a Large Public Referral Hospital in Eldoret, Kenya

PURPOSE

Treatment patterns and survival outcomes of patients with multiple myeloma (MM) in Kenya have not been adequately characterized. The objectives of this study were to describe the clinical, laboratory, and imaging findings at diagnosis, to describe the treatment offered, and to determine the survival outcomes of patients with MM over an 11-year period.

PATIENTS AND METHODS

A retrospective chart review was carried out for all patients who were diagnosed and treated for MM at Moi Teaching and Referral Hospital from 2009 to 2019. The Kaplan-Meier method was used to estimate survival. Factors affecting survival were identified using univariate and multivariate analyses.

RESULTS

A total of 221 patient charts were analyzed of which 124 belonged to male patients (56.1%). The median age at diagnosis was 61 years. Bone pain was the most common presenting complaint observed in 69.6% of 194 patients assessed. Out of 102 patients who received imaging studies, 60 (58.8%) had lytic lesions, 30 (29.4%) had fractures, whereas 30 (29.4%) had spinal cord compression. Anemia, renal failure, and hypercalcemia were observed in 87/187 (46.5%), 22/161 (13.7%), and 23/42 (54.8%) patients, respectively. Thalidomide and dexamethasone (65.2%); bortezomib, thalidomide, and dexamethasone (14.6%); and melphalan and prednisolone (11.9%) were the most prescribed initial chemotherapy regimens among 219 patients analyzed. Overall survival at 1 and 5 years was 70% and 21%, respectively; median overall survival was 29.0 months. In multivariate analysis, male sex (hazard ratio [HR] 1.9), baseline anemia (HR 1.8), and baseline renal failure (HR 3.2) were associated with significantly shorter survival.

CONCLUSION

Survival outcomes were poor despite increased use of multiagent-based chemotherapy regimens. Greater access to available diagnostics and treatments is required to achieve rational treatment and increased survival.

Association between race and treatment patterns and survival outcomes in multiple myeloma: A Connect MM Registry analysis

Background

Studies have reported racial disparities in access to and use of multiple myeloma (MM) treatments between African American (AA) and White patients. Although AA patients demonstrate longer disease‐specific survival, this has not uniformly translated into improved survival over time. The association between race and treatment patterns and survival outcomes was analyzed using data from the Connect MM Registry.

Methods

The Connect MM Registry is a large US, multicenter, prospective observational cohort study of patients with newly diagnosed MM. Patients who received first‐line (1L) stem cell transplantation (SCT) or who did not receive SCT (non‐SCT or non–stem cell transplantation [NSCT]) were grouped by raceEffects of race and transplantation status on the use of triplet treatment were estimated using logistic regression.

Results

Treatment patterns in 1L (types and duration of induction, posttransplantation maintenance) were similar between AA and White patients. SCT rates in 1L (32% vs 36%) and triplet treatment use (AA: 44% for NSCT patients and 72% for SCT patients; and White: 48% for NSCT patients and 72% for SCT patients) during first induction were similar. No significant effect of race or transplantation status on 1L triplet treatment use was observed. Race was not found to be associated with survival outcomes among patients who underwent NSCT; however, AA patients who received SCT had significantly longer overall survival compared with White patients who underwent SCT (not reached vs 88.2 months; hazard ratio, 0.56; 95% CI, 0.35‐0.89 [P = .0141]).

Conclusions

AA and White patients were found to have similar treatment patterns in the Connect MM Registry, suggesting that both groups had equal access to health care. In this real‐world setting, AA patients received standard‐of‐care treatment, which might have contributed to better MM‐specific survival compared with White patients.

Real‐world data from the mostly community‐based Connect MM Registry demonstrated that African American patients have multiple myeloma treatment patterns that are similar to those of White patients. Similar (progression‐free survival) and better (overall survival) survival outcomes are reported in African American individuals.