Clinical and economic burden of medicare beneficiaries with multiple myeloma and renal impairment: An observational study.

Evidence on real-world clinical and economic outcomes in patients with multiple myeloma (MM) and renal impairment (RI) is limited in the United States. This retrospective study aimed to generate an updated comprehensive assessment of the clinical and economic outcomes of MM patients with RI using the Medicare research identifiable files data with Part D linkage, which might assist in assessing the total clinical and socioeconomic burden of these high-risk and challenging-to-treat patients. Treatment patterns and clinical and economic outcomes in first line (1L) to fourth line (4L) therapy were described in Medicare beneficiaries (2012 to 2018) for MM patients with RI (RI MM cohort). For reference purposes, information on a general cohort of MM patients was generated and reported to highlight the clinical and economic burden of RI. Since the goal was to describe the burden of these patients, this study was not designed as a comparison between the 2 cohorts. Compared with the general MM cohort (n = 13,573), RI MM patients (24.9%) presented high MM-associated comorbidities. In the RI MM cohort, bortezomib-dexamethasone (45.7%), bortezomib-lenalidomide (18.6%), lenalidomide (12.3%), and bortezomib-cyclophosphamide (12.1%) were the most prevalent regimens in 1L; carfilzomib and pomalidomide were mostly received in 3L to 4L; and daratumumab in 4L. Across 1L to 4L, the RI MM cohort presented shorter median real-world progression-free survival (1L: 12.9 and 16.4 months) and overall survival (1L: 31.1 and 46.8 months) and higher all-cause healthcare resource utilization (1L incidence rate of inpatient days: 12.1 and 7.8 per person per year) than the general MM cohort. In the RI MM cohort, the mean all-cause total cost increased from 1L to 4L ($14,549-$18,667 per person per month) and was higher than that of the general MM cohort. RI MM patients presented higher clinical and economic burdens across 1L to 4L than the general MM patients in real-world clinical practice.

Measurement of the major ignored burden of multiple myeloma, pernicious anaemia and of other haematological conditions on partners and family members: A cross-sectional study.

BACKGROUND: Having a haematological condition can adversely affect the quality of life (QoL) of family members/partners of patients. It is important to measure this often ignored burden in order to implement appropriate supportive interventions. OBJECTIVE: To measure current impact of haematological conditions on the QoL of family members/partners of patients, using the Family Reported Outcome Measure-16 (FROM-16). METHODS: A cross-sectional study, recruited online through patient support groups, involved UK family members/partners of people with haematological conditions completing the FROM-16. RESULTS: 183 family members/partners (mean age = 60.5 years, SD = 13.2; females = 62.8%) of patients (mean age = 64.1, SD = 12.8; females = 46.4%) with 12 haematological conditions completed the FROM-16. The FROM-16 mean total score was 14.0 (SD = 7.2), meaning 'a moderate effect on QoL'. The mean FROM-16 scores of family members of people with multiple myeloma (mean = 15.8, SD = 6.3, n = 99) and other haematological malignancies (mean = 13.9, SD = 7.8, n = 29) were higher than of people with pernicious anaemia (mean = 10.7, SD = 7.5, n = 47) and other non-malignant conditions (mean = 11, SD = 7.4, n = 56, p < .01). Over one third (36.1%, n = 183) of family members experienced a 'very large effect' (FROM-16 score>16) on their quality of life. CONCLUSIONS: Haematological conditions, in particular those of malignant type, impact the QoL of family members/partners of patients. Healthcare professionals can now, using FROM-16, identify those most affected and should consider how to provide appropriate holistic support within routine practice.

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.

Global, regional, and national burden and quality of care of multiple myeloma, 1990-2019.

Background: Multiple myeloma (MM) is the second most common haematologic malignancy, presenting a great disease burden on the general population; however, the quality of care of MM is overlooked. We therefore assessed gains and disparity in quality of care worldwide from 1990 to 2019 based on a novel summary indicator - the quality of care index (QCI) - and examined its potential for improvement. Methods: Using the Global Burden of Disease 2019 data set, we calculated the QCI of MM for 195 countries and territories. We used the principal component analysis to extract the first principal component of ratios with the combinations of mortality to incidence, prevalence to incidence, disability-adjusted life years to prevalence, and years of life lost to years lived with disability as QCI. We also conducted a series of descriptive and comparative analyses of QCI disparities with age, gender, period, geographies, and sociodemographic development, and compared the QCI among countries with similar socio-demographic index (SDI) through frontier analysis. Results: The age-standardised rates of MM were 1.92 (95% uncertainty interval (UI) = 1.68, 2.12) in incidence and 1.42 (95% UI = 1.24, 1.52) in deaths per 100 000 population in 2019, and were predicted to increase in the future. The global age-standardised QCI increased from 51.31 in 1990 to 64.28 in 2019. In 2019, New Zealand had the highest QCI at 99.29 and the Central African Republic had the lowest QCI at 10.74. The gender disparity of QCI was reduced over the years, with the largest being observed in the sub-Saharan region. Regarding age, QCI maintained a decreasing trend in patients aged >60 in SDI quintiles. Generally, QCI improved with the SDI increase. Results of frontier analysis suggested that there is a potential to improve the quality of care across all levels of development spectrum. Conclusions: Quality of care of MM improved during the past three decades, yet disparities in MM care remain across different countries, age groups, and genders. It is crucial to establish local objectives aimed at enhancing MM care and closing the gap in health care inequality.

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.

Description of multiple myeloma cases and assessment of survival and mortality factors in Madagascar.

INTRODUCTION: In Madagascar, the epidemiologic, therapeutic, and evolutionary aspects of multiple myeloma remain poorly understood. Our objectives were to describe the cases, report factors associated with mortality, and estimate patient survival. PATIENTS AND METHOD: This was a retrospective descriptive and analytical study conducted in five teaching hospitals in Madagascar: HJRA and CENHOSOA (Antananarivo), CHUPZAGA (Mahajanga), CHUAT (Toamasina) and CHUT (Fianarantsoa). The study included patients diagnosed with multiple myeloma between January 1, 2010 and December 31, 2021. RESULTS: Of the 11,374 cancer patients, 75 (0.66%) had multiple myeloma. The mean age of the patients was 59.9 years (±8.9) and the sex ratio was 1.5. Arterial hypertension was observed in 32% of the patients. The most common symptom of myeloma was bone pain (n = 48; 64%). Forty-six patients (61%) were diagnosed with stage III myeloma and 28 patients (37.3%) with stage IIIA myeloma according to the Durie-Salmon classification. Anemia, renal failure, hypercalcemia and fractures were present in 53%, 37%, 21% and 28% of cases, respectively. Fifty-four patients received specific treatment. The combination of melphalan-prednisone-thalidomide was used in 79.63% of cases, and one patient had received autologous stem cell transplantation. Eleven patients (14.67%) died. Chronic kidney disease (p = 0.009), smoking (p = 0.028) and two associated comorbidities (p = 0.035) were associated with mortality. The median overall survival was 45.5 months. CONCLUSION: Patient survival is shorter than reported in the literature. The high mortality rate is due to comorbidities and limited access to recommended therapies.

Disentangling age, gender, and racial/ethnic disparities in multiple myeloma burden: a modeling study.

Multiple myeloma (MM) is a hematological malignancy that is consistently preceded by an asymptomatic condition, monoclonal gammopathy of undetermined significance (MGUS). Disparities by age, gender, and race/ethnicity in both MGUS and MM are well-established. However, it remains unclear whether these disparities can be explained by increased incidence of MGUS and/or accelerated progression from MGUS to MM. Here, we fit a mathematical model to nationally representative data from the United States and showed that the difference in MM incidence can be explained by an increased incidence of MGUS among male and non-Hispanic Black populations. We did not find evidence showing differences in the rate of progression from MGUS to MM by either gender or race/ethnicity. Our results suggest that screening for MGUS among high-risk groups (e.g., non-Hispanic Black men) may hold promise as a strategy to reduce the burden and MM health disparities.

Real-world treatment patterns, healthcare resource use and disease burden in patients with multiple myeloma in Europe.

Aim: To investigate treatment patterns, healthcare resource utilization and disease burden in patients with multiple myeloma (MM). Methods: Point-in-time survey of physicians and their patients presenting in a real-world clinical setting, collected across Europe between May and November 2021. Results: In total, 173 physicians provided data for 2179 patients with MM. Treatments received became more diverse as line of therapy increased, dictated by previous treatment choices. Overall, 25% of all patients were tri-exposed, and experienced a higher degree of healthcare resource utilization, disease burden and impairment than non-tri-exposed patients. Conclusion: The treatment landscape in MM is complex and evolving. There is an unmet need for more effective therapies to reduce disease burden, particularly in tri-exposed patients.

There are many new treatments available for patients with multiple myeloma. While outcomes such as survival, symptoms and health problems experienced have improved, patients still continue to relapse and fall ill again. This means their current treatment stops working and they have to change to a new treatment to prevent their disease from developing further. Patients who have received three different types of treatment are classed as being 'tri-exposed', and they experience greater problems with their health. To better understand this course of events, we used information from a survey of doctors and their patients with multiple myeloma across Europe in 2021. We looked at patient's symptoms, the treatments they received, how and when they accessed healthcare (including hospital visits and tests) and the overall difficulties experienced due to their illness. We found that patients were broadly treated according to the most recent European guidelines, although differences were seen between countries. When patients had to switch therapy, the type of treatment received next depended on what they had previously been prescribed, meaning that treatment choices became increasingly complicated. Overall, 25% of patients in our study were classed as tri-exposed, and had more hospitalisations, required more hospital tests, had greater health problems and experienced more difficulties at work than those who were not tri-exposed. Despite recent developments in the treatment of multiple myeloma, there is still a need for more effective therapies. This is especially true for patients who are tri-exposed, who have limited treatment options and experienced greater health problems.

Ethnic disparities in presentation but not outcome in multiple myeloma patients: a multicenter retrospective study in Northern Israel.

Several studies showed ethnic disparities in multiple myeloma (MM) incidence and prognosis. In order to compare prognosis and overall survival between different ethnic groups, a multicenter retrospective study was conducted in Northern Israel. A total of 145 patients suffering from MM were included (72% Jewish, and 28% Arabs) who were treated between 2008-2018. A difference was found in the stage of the disease at the time of diagnosis, patients of Arab origin were diagnosed at a more advanced stage (III), (53.7% vs. 33.7%, respectively). A mortality rate of 48.9% was found in the study, regardless of population ethnic origin. No significant differences in rates of MGUS, MM symptoms, treatments, or progression-free survival (PFS) and overall survival (OS) were observed between ethnic groups. This suggests that raising awareness of MM may result in an earlier diagnosis, especially among patients of Arab origin, preventing unnecessary suffering from these patients.

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.

Assessment of the psychometric properties of the Spanish version of EORTC QLQ-MY20 and evaluation of health-related quality of Life outcomes in patients with relapsed and/or refractory multiple myeloma in the real-world setting in Spain: results from the CharisMMa study.

We evaluated the psychometric properties of the Spanish version of the European Organization for Research and Treatment of Multiple Myeloma (MM) specific quality-of-life (QoL) questionnaire module (QLQ-MY20) in relapsed/refractory MM (RRMM) patients. This was an observational, cross-sectional, multicenter study using EORTC QLQ-C30 and QLQ-MY20 in RRMM patients (ClinicalTrials.gov ID NCT03188536). We assessed the non-response rate, ceiling/floor effects, internal consistency, test-retest reliability, and validity. The study included 276 patients (53.3% males, mean [SD] age of 67.4 [10.5] years). The EORTC QLQ-MY20 showed a low non-response rate, very low ceiling and floor effects, and good internal consistency. The test-retest reliability assessment revealed good temporary stability, the construct validity analysis stated four main factors similar to the ones of the original version, and the criterion validity assessment showed no differences between groups. In conclusion, the Spanish version of EORTC QLQ-MY20 is a reliable and valid tool for assessing QoL in RRMM patients.

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.

Inequalities in access to treatment in Argentina: Differences in management of CLL and multiple myeloma?

Health equity is today an important objective to evenly reach the population among different health care systems. This article will focus on diagnosis and treatment access inequalities in Argentina. Although different aspects must be optimized to overcome access barriers worldwide, access inequalities in some regions of Argentina may depend basically on the type of health coverage or insurance. Health care in Argentina is divided into Public, Social security and Private care systems. Access to diagnosis and disease monitoring will vary according whether the patient is under each of these systems. Reducing inequalities may help target some important aspects not covered today and that may directly impact patients' outcome. Disparities in health cancer care were analyzed according to Public, Social security and Private sectors. A disadvantage in resource access, inadequate funding and limited medical infrastructures are common characteristics of the public health care systems. In our country the disparity between the public and private sectors in terms of timely diagnosis, stage of disease at diagnosis, accuracy of diagnosis, access to novel agents and transplantation is notorious, with the public sector lagging behind in access to diagnostic and treatment resources. While the Private sector has treatment outcomes comparable to those of high-income countries, challenges remain in the Public sector for patients who rely on early and accurate diagnosis and timely access to treatment. There is an urgent need to provide equitable care for multiple myeloma and CLL patients and reduce the emotional and financial consequences of the disease for the patient. A survey about diagnosis and therapeutic resources was conducted between April and May 2023 among large centers in the Public, Social security and Private systems. A total of 49 hematologists from 31 institutions from five provinces of Argentina participated in the survey. We observed differences between the different systems with more access for the Private system on genetic diagnosis (FISH-IGVH access). More CLL patients in the public and social security systems were treated with CIT reflecting the inaccessibility in these sectors of more expensive targeted therapies rather than a gap in information since the Public centers surveyed were large hospitals with knowledgeable physicians. Access to different treatments both in first-line and relapsed settings was more equitable in the treatment of multiple myeloma for the different systems with the exception of access to daratumumab in first-line that was extremely infrequent in the public coverage. With increasing cost and treatment complexity as the introduction of CARTs and BITEs for CLL and MM, the gap will probably deepen more if the problem is not treated comprehensively by all the actors of the health sector: government, physicians, patients' organizations and pharmaceutical companies.

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.

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.

Burden of multiple myeloma in China: an analysis of the Global Burden of Disease, Injuries, and Risk Factors Study 2019.

BACKGROUND: There is limited data to comprehensively evaluate the epidemiological characteristics of multiple myeloma (MM) in China; therefore, this study determined the characteristics of the disease burden of MM at national and provincial levels in China. METHODS: The burden of MM, including incidence, mortality, prevalence, and disability-adjusted life years (DALYs), with a 95% uncertainty interval (UI), was determined in China following the general analytical strategy used in the Global Burden of Disease, Injuries, and Risk Factors Study 2019. The trends in the burden of MM from 1990 to 2019 were also evaluated. RESULTS: There were an estimated 347.45 thousand DALYs with an age-standardized DALY rate of 17.05 (95% UI, 12.31-20.77) per 100,000 in 2019. The estimated number of incident case and deaths of MM were 18,793 and 13,421, with age-standardized incidence and mortality rates of 0.93 (95% UI, 0.67-1.15) and 0.67 (95% UI, 0.50-0.82) per 100,000, respectively. The age-specific DALY rates per 100,000 increased to more than 10.00 in the 40 to 44 years age group reaching a peak (93.82) in the 70 to 74 years age group. Males had a higher burden than females, with approximately 1.5- to 2.0-fold sex difference in age-specific DALY rates in all age groups. From 1990 to 2019, the DALYs of MM increased 134%, from 148,479 in 1990 to 347,453 in 2019. CONCLUSION: The burden of MM has doubled over the last three decades, which highlights the need to establish effective disease prevention and control strategies at both the national and provincial levels.

Real-world assessment of the treatment patterns and outcomes among patients with multiple myeloma across different risk stratification criteria in the United States: a retrospective cohort study.

This study evaluated prognostic performance of International Staging System (ISS), revised ISS, and chromosomal abnormalities (CA) in newly diagnosed multiple myeloma patients to describe treatment patterns (cohort 1; n = 1979) and survival outcomes (cohort 2; n = 1382). In both cohorts, ∼18%, 41%, and 37% of patients were high-risk according to the R-ISS, ISS, and high-risk CA criteria, respectively. Across all risk stratification criteria, 60% of patients received triplets. In cohort 2, the median modified progression-free survival decreased with each increasing risk stage (23.5, 12.1, and 8.8 months in R-ISS I, II, and III, respectively, and 16.0, 12.7, and 10.4 months in ISS I, II, and III). Similar trends were observed in the proportions of two-year overall survival. In conclusion, R-ISS has greater discriminatory power than ISS or high-risk CA alone and can be implemented in a real-world setting. Accordingly, a more risk-adapted approach can be feasible, with a greater population-level impact.

Evaluating the Addition of Clinical and Staging Data to Improve the Pricing Methodology of the Oncology Care Model.

PURPOSE: The Oncology Care Model (OCM) is the largest value-based care model focusing on oncology, but the current pricing methodology excludes relevant data on the cancer stage and current clinical status, limiting the precision of the risk adjustment. METHODS: This analysis evaluated 15,580 episodes of breast cancer, lung cancer, and multiple myeloma, starting between July 1, 2016, and January 1, 2020, with data from a cohort of OCM practices affiliated with academic medical centers. The authors merged clinical data with claims for OCM episodes defined by the Center for Medicare and Medicaid Innovation to identify potential quality improvement opportunities. The regression model evaluated the association of the cancer stage at initial diagnosis and current clinical status with variance to the OCM target price. RESULTS: Cancer stage at the time of initial diagnosis was significant for breast and lung cancers, with stage IV episodes having the highest losses of -$6,700 (USD) for breast cancer (P < .001) and -$18,470 (USD) for lung cancer (P < .001). Current clinical status had a significant impact for all three cancers in the analysis, with losses correlated with clinical complexity. Breast cancer and multiple myeloma episodes categorized as recurrent or progressive disease had significantly higher losses than stable episodes, at -$6,755 (USD) for breast (P < .001) and -$19,448 (USD) for multiple myeloma (P < .001). Lung cancer episodes categorized as initial diagnosis had significantly fewer losses than stable episodes, at -$3,751 (USD) (P = .001). CONCLUSION: As the Center for Medicare and Medicaid Innovation designs and launches new oncology-related models, the agency should adopt methodologies that more accurately set target prices, by incorporating relevant clinical data within cancer types to minimize penalizing practices that provide guideline-concordant cancer care.

The epidemiological landscape of multiple myeloma: a global cancer registry estimate of disease burden, risk factors, and temporal trends.

BACKGROUND: Multiple myeloma accounted for 176 404 (14%) of 1 278 362 the incidence cases leukaemia, lymphoma, and multiple myeloma in 2020. Identifying its geographical distribution, risk factors, and epidemiological trends could help identify high-risk population groups. We aimed to examine the worldwide incidence, mortality, associated risk factors, and temporal trends of multiple myeloma by sex, age, and geographical region. METHODS: The incidence and mortality of multiple myeloma were extracted from Global Cancer Observatory (2020), Cancer Incidence in Five Continents, WHO mortality database, Nordic Cancer Registries, and Surveillance, Epidemiology, and End Results Program (1980-2019). The WHO Global Health Observatory data repository was searched for the age-standardised prevalence of lifestyle and metabolic risk factors (2010). Associations with risk factors were examined by multivariable regression. The temporal trends were evaluated by average annual percentage change (AAPC) using joinpoint regression. FINDINGS: The age-standardised rate (ASR) of multiple myeloma incidence was 1·78 (95% UI 1·69-1·87) per 100 000 people globally and mortality was 1·14 (95% UI 1·07-1·21) per 100 000 people globally in 2020. Increased incidence and mortality were associated with higher human development index, gross domestics product, prevalence of physical inactivity, overweight, obesity, and diabetes. Australia and New Zealand (ASR 4·86 [4·66-5·07]), northern America (4·74 [4·69-4·79]), and northern Europe (3·82 [3·71-3·93]) reported the highest incidence. The lowest incidences were observed in western Africa (0·81 [0·39-1·66]), Melanesia (0·87 [0·55-1·37]), and southeastern Asia (0·96 [0·73-1·27]). Overall, more countries had an increase in incidence, especially in men aged 50 years or older. The countries with the highest incidence increase in men older than 50 years were Germany (AAPC 6·71 [95% CI 0·75-13·02] p=0·027), Denmark (3·93 [2·44-5·45] p=0·00027), and South Korea (3·25 [0·69-5·88] p=0·019). For women aged 50 years or older, Faroe Islands (21·01 [2·15-43·34] p=0·032), Denmark (4·70 [1·68-7·82], p=0·0068), and Israel (2·57 [0·74-4·43] p=0·012) reported the greatest increases. Overall, there was a decreasing trend for multiple myeloma mortality. The highest mortality was observed in Polynesia (ASR 2·69 [0·74-9·81]), followed by Australia and New Zealand (1·84 [1·73-1·96]) and northern Europe (1·80 [1·73-1·88]). The lowest mortalities were reported in southeastern Asia (ASR 0·82 [0·62-1·09]), eastern Asia (0·76 [0·71-0·81]), and Melanesia (0·73 [0·61-0·87]). Men (1·41 [1·29-1·53]) were found to have mortality higher than women (0·93 [0·85-1·02]). INTERPRETATION: There was an increasing trend of multiple myeloma incidence globally, particularly in men, people aged 50 years or older, and those from high-income countries. The overall decreasing global trend of multiple myeloma mortality was more evident in women. Lifestyle habits, diagnosis capacity, and treatment availability should be improved to control the increasing trends of multiple myeloma in high-risk populations. Future studies should explore the reasons behind these epidemiological transitions. FUNDING: None.