Development of a Multivariable Model to Predict the Need for Bone Marrow Sampling in Persons With Monoclonal Gammopathy of Undetermined Significance : A Cohort Study Nested in a Clinical Trial.

BACKGROUND: Monoclonal gammopathy of undetermined significance (MGUS) and smoldering multiple myeloma (SMM) are asymptomatic precursor conditions to multiple myeloma and related disorders. Smoldering multiple myeloma is distinguished from MGUS by 10% or greater bone marrow plasma cells (BMPC) on sampling, has a higher risk for progression, and requires specialist management. OBJECTIVE: To develop a multivariable prediction model that predicts the probability that a person with presumed MGUS has 10% or greater BMPC (SMM or worse by bone marrow criteria) to inform the decision to obtain a bone marrow sample and compare its performance to the Mayo Clinic risk stratification model. DESIGN: iStopMM (Iceland Screens, Treats or Prevents Multiple Myeloma), a prospective population-based screening study of MGUS. (ClinicalTrials.gov: NCT03327597). SETTING: Icelandic population of adults aged 40 years or older. PATIENTS: 1043 persons with IgG, IgA, light-chain, and biclonal MGUS detected by screening and an interpretable bone marrow sample. MEASUREMENTS: Monoclonal gammopathy of undetermined significance isotype; monoclonal protein concentration; free light-chain ratio; and total IgG, IgM, and IgA concentrations were used as predictors. Bone marrow plasma cells were categorized as 0% to 4%, 5% to 9%, 10% to 14%, or 15% or greater. RESULTS: The c-statistic for SMM or worse was 0.85 (95% CI, 0.82 to 0.88), and calibration was excellent (intercept, -0.07; slope, 0.95). At a threshold of 10% predicted risk for SMM or worse, sensitivity was 86%, specificity was 67%, positive predictive value was 32%, and negative predictive value was 96%. Compared with the Mayo Clinic model, the net benefit for the decision to refer for sampling was between 0.13 and 0.30 higher over a range of plausible low-risk thresholds. LIMITATION: The prediction model will require external validation. CONCLUSION: This accurate prediction model for SMM or worse was developed in a population-based cohort of persons with presumed MGUS and may be used to defer bone marrow sampling and referral to hematology. PRIMARY FUNDING SOURCE: International Myeloma Foundation and the European Research Council.

Body size and risk of multiple myeloma in the Black Women's Health Study.

BACKGROUND: Obesity is an established risk factor for multiple myeloma (MM). Relatively few prior studies, however, have evaluated associations in Black populations. METHODS: Among 55,276 participants in the Black Women's Health Study, a prospective U.S. cohort established in 1995, we confirmed 292 incident diagnoses of MM over 26 years of follow-up. Multivariable Cox proportional hazard models, adjusted for age and putative MM risk factors, were used to estimate hazard ratios (HRs) and 95% confidence intervals (CIs) for associations of usual body mass index (BMI), BMI at age 18, height, and waist-to-hip ratio with MM. RESULTS: Compared to women with a usual adult BMI < 25 kg/m2, the HR associated with a usual adult BMI ≥ 35 kg/m2 was 1.38 (95% CI: 0.96, 1.98). For early adult BMI, the HR comparing women with BMI ≥ 25 vs. <25 kg/m2 was 1.57 (95% CI: 1.08, 2.28). Women who were heavy in both early and later life had the highest risk compared to those who were lean at both time points (HR: 1.60; 95% CI: 1.02, 2.52). Height was also associated with the risk of MM; the HR per 10 cm was 1.21 (95% CI: 1.02, 1.43). CONCLUSIONS: These results indicate that high early adult BMI is associated with a 57% increased risk of MM in Black women and potentially highlight the importance of weight control as a preventive measure.

Anthropometric traits and risk of multiple myeloma: differences by race, sex and diagnostic clinical features.

BACKGROUND: Obesity is an established modifiable risk factor for multiple myeloma (MM). However, associations of obesity and MM risk in Black populations, for whom obesity and MM are more common, is less clear. METHODS: Using participants enrolled in the Integrative Molecular And Genetic Epidemiology study, we evaluated the association of anthropometric traits with MM risk overall, stratified by race and sex. Among cases, we assessed the association of BMI with the presence of myeloma-defining events. RESULTS: We observed an 18% increase in MM risk for every 5 kg/m2 increase in usual adult BMI. Participants with severe obesity (BMI ≥ 40 kg/m2) had the highest risk compared to those with a normal usual adult BMI (18.5-24.9 kg/m2; OR = 1.87, 95% CI 1.25-2.80), particularly among Black men (OR = 3.94, 95% CI 0.90-17.36). Furthermore, MM cases with overweight/obesity (BMI ≥ 25 kg/m2) were more likely to present at diagnosis with low renal function (OR = 1.62, 95% CI 1.09-2.40), deletion 13q (OR = 1.73, 95% CI 1.08-2.76) and lytic lesions or compression fractures (OR = 2.39, 95% CI 0.82-7.01) and less likely to present with severe diffuse osteopenia (OR = 0.51, 95% CI 0.31-0.81). CONCLUSIONS: Findings underscore the importance of obesity as a modifiable risk factor for MM, particularly in high-risk populations, and for the clinical presentation of disease.

Prior cancer and risk of monoclonal gammopathy of undetermined significance: a population-based study in Iceland and Sweden.

There is some evidence that a prior cancer is a risk factor for the development of multiple myeloma (MM). If this is true, prior cancer should be associated with a higher prevalence or increased progression rate of monoclonal gammopathy of undetermined significance (MGUS), the precursor of MM and related disorders. Those with a history of cancer might therefore constitute a target population for MGUS screening. This two-part study is the first study to evaluate a relationship between MGUS and prior cancers. First, we evaluated whether prior cancers were associated with having MGUS at the time of screening in the Iceland Screens Treats or Prevents Multiple Myeloma (iStopMM) study that includes 75,422 individuals screened for MGUS. Next, we evaluated the association of prior cancer and the progression of MGUS to MM and related disorders in a population-based cohort of 13,790 Swedish individuals with MGUS. A history of prior cancer was associated with a modest increase in the risk of MGUS (odds ratio=1.10; 95% confidence interval: 1.00-1.20). This excess risk was limited to prior cancers in the year preceding MGUS screening. A history of prior cancer was associated with progression of MGUS, except for myeloid malignancies which were associated with a lower risk of progression (hazard ratio=0.37; 95% confidence interval: 0.16-0.89; P=0.028). Our findings indicate that a prior cancer is not a significant etiological factor in plasma cell disorders. The findings do not warrant MGUS screening or different management of MGUS in those with a prior cancer.

Multiple myeloma: unplanned diagnostic pathways and association with risk factors and survival - a nationwide register-based cohort study in Denmark.

BACKGROUND: Multiple myeloma often presents with vague and non-specific symptoms. Many patients are diagnosed in unplanned rather than elective (planned) diagnostic pathways. This study investigates the diagnosis of multiple myeloma in unplanned pathways and the association with patient characteristics, disease profile, and survival. METHODS: We conducted a nationwide register-based study, including all patients diagnosed with multiple myeloma in Denmark in 2014-2018. Patients were categorised as diagnosed in an unplanned pathway if registered with an acute admission within 30 days prior to the multiple myeloma diagnosis and no other previously registered pathway to this diagnosis. Unplanned pathways were compared to all other pathways combined. RESULTS: We included 2,213 patients diagnosed with multiple myeloma, hereof 32% diagnosed in an unplanned pathway. Comorbidity, no prior cancer diagnosis, a history of few visits to the general practitioner (GP), multiple myeloma complications at diagnosis, high-risk cytogenetics, and advanced cancer stage were associated with a higher probability of being diagnosed in an unplanned pathway. For example, 24.4% (95% confidence interval (CI): 21.8-27.0) of patients with low comorbidity (Charlson Comorbidity Index (CCI) score 0) were diagnosed in an unplanned pathway as were 50.9% (95% CI: 45.6-56.1) of patients with high comorbidity (CCI score 3+). For patients with dialysis need at the time of diagnosis the probability was 66.0% (95% CI 54.2-77.8) and 30.9% (95% CI: 28.9-32.9) for patients with no dialysis need. Patients diagnosed in an unplanned pathway had inferior survival (hazard ratio 1.44 (95% CI: 1.26-1.64)). However, this association was not seen in analyses restricted to patients surviving for more than three years. CONCLUSIONS: High comorbidity level, few usual GP visits, advanced disease status at diagnosis, and complications were associated with diagnosis in an unplanned pathway. Further, patients diagnosed in an unplanned pathway had inferior survival. Promoting earlier diagnosis and preventing unplanned pathways may help improve survival in multiple myeloma.

Association of routine hematological parameters with the development of monoclonal gammopathies: a case-control study of 134,740 patients : Resubmitted to annals of Hematology 26 March 2024.

The diagnosis of multiple myeloma requires detection of paraproteinemia and confirmation of monoclonal bone marrow infiltration, along with signs of end-organ damage. Despite the increasing prevalence, serum paraproteinemia is not routinely measured. We examined the relationship between alterations in routine hematological parameters and the development of paraproteinemia in a case-control study. Data was retrieved from a laboratory database in the capital region of Denmark between 01/01/2012 and 31/12/2022. Patients were included if they had a test for paraproteinemia (n = 134,740) and at least one prior hematological parameter (white blood cells, hemoglobin and platelet count) with a minimum follow-up of 1 year.Between 96,999 and 103,590 patients were included in each of the three hematological groups. We found white blood cell count and the presence of paraproteinemia followed an inverse J-shaped curve, with the highest presence below 3 × 109/L and above > 9 × 109/L. The adjusted OR below and above the nadir of 4 × 109/L was 1.61 (95% CI 1.25; 2.08, p < 0.0001) and 1.03 (95% CI 1.03; 1.04, p < 0.0001). Hemoglobin levels were inversely associated the presence of paraproteinemia, with the highest association below 6 mmol/L with an OR of 1.30 (95% CI 1.28; 1.32, p < 0.0001) adjusted for age and gender. Platelet count followed a U-shaped curve with the highest association at < 100 × 109/L. The adjusted OR below and above the nadir of 250 × 109/L was 1.13 (95% CI 1.10; 1.17, p < 0.0001) and 1.10 (95% CI 1.08; 1.12, p < 0.0001) respectively. In conclusion, all three parameters showed significant association with later paraproteinemia.

Comorbidities and survival of multiple myeloma patients diagnosed in Finland between 2000 and 2021.

Advances in treatment have improved the survival of multiple myeloma (MM) patients, but the disease remains incurable. Here, in this nationwide retrospective real-world evidence (RWE) study, we report the patient characteristics, incidence, overall survival outcomes, comorbidities, and healthcare resource utilization (HCRU) of all adult MM patients diagnosed between 2000 and 2021 in Finland. A total of 7070 MM patients and their 21,210 age-, sex- and region-matched controls were included in the analysis. The average MM incidence doubled from 4.11 to 8.33 per 100,000 people during the follow-up. The average age-standardized incidence also showed a significant increase over time (2.51 in 2000 to 3.53 in 2021). An increase in incidence was particularly seen in older population, indicative of improved diagnosis praxis. The median overall survival (mOS) of the MM patients and their matched controls was 3.6 and 15.6 years, respectively. The mOS of all MM patients increased significantly from 2.8 years (2000-2004) to 4.4 years (2017-2021) during the follow-up period. Distinctively, in patients who received autologous stem cell transplantation (ASCT), the mOS was 9.2 years, while in patients who did not receive ASCT, the mOS was only 2.7 years. MM patients showed more comorbidities at index and increased HCRU than their matched controls. The longer median survival and decreased risk of death indicate improved treatment outcomes in MM patients in Finland.

Real-world treatment patterns in patients initiating third-line therapy for relapsed or refractory multiple myeloma in Germany, Italy, the United Kingdom, France, and Spain.

OBJECTIVES: To retrospectively analyze real-world treatment patterns in patients with relapsed/refractory multiple myeloma (RRMM) who initiated third-line treatment in Europe. METHODS: German and Italian administrative claims data were sourced from the German AOK PLUS health insurance fund and Italian local health units (2016-2020). Data for the United Kingdom (UK), France, and Spain were sourced from medical chart reviews (MCRs) from 2016 to 2018 (historical) and 2019 to 2021 (new) using electronic case report forms. RESULTS: Across all countries, immunomodulatory imide drug (IMiD)-based regimens were prominent in the third-line setting. From 2016 to 2020, lenalidomide-dexamethasone was most common in Italy (18.0%) and Germany (12.7%). From 2019 to 2021, the most common regimen was ixazomib-lenalidomide-dexamethasone (67.5%) in the UK, pomalidomide-dexamethasone (17.1%) in France, and daratumumab-bortezomib-dexamethasone (15.0%) in Spain. In the historical data (2016-2018), third-line lenalidomide- and pomalidomide-dexamethasone doublet use across the UK (>47%), France (>46%), and Spain (>33%) was high. From historical to new, triplet use increased in Spain (>19% to >60%) as did anti-CD38 agent use in France (15.1% to 51.9%) and Spain (19.7% to 42.1%). CONCLUSIONS: From 2016 to 2021, third-line regimens were mostly IMiD based. The MCR data demonstrated evolving treatment choices from 2016 to 2018 and 2019 to 2021, providing insights into uptake of novel agents and current RRMM European 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.

The establishment of a multiple myeloma clinical registry in the Asia-Pacific region: The Asia-Pacific Myeloma and Related Diseases Registry (APAC MRDR).

BACKGROUND: Multiple myeloma (MM) is the second most common haematological cancer worldwide. Along with related diseases including monoclonal gammopathy of undetermined significance (MGUS), plasma cell leukaemia (PCL) and plasmacytoma, MM incidence is rising, yet it remains incurable and represents a significant disease burden. Clinical registries can provide important information on management and outcomes, and are vital platforms for clinical trials and other research. The Asia-Pacific Myeloma and Related Diseases Registry (APAC MRDR) was developed to monitor and explore variation in epidemiology, treatment regimens and their impact on clinical outcomes across this region. Here we describe the registry's design and development, initial data, progress and future plans. METHODS: The APAC MRDR was established in 2018 as a multicentre collaboration across the Asia-Pacific, collecting prospective data on patients newly diagnosed with MM, MGUS, PCL and plasmacytoma in Korea, Singapore, Malaysia and Taiwan, with China recently joining. Development of the registry required a multidisciplinary team of clinicians, researchers, legal and information technology support, and financial resources, as well as local clinical context from key opinion leaders in the APAC region. Written informed consent is obtained and data are routinely collected throughout treatment by hospital staff. Data are stored securely, meeting all local privacy and ethics requirements. Data were collected from October 2018 to March 2024. RESULTS: Over 1700 patients from 24 hospitals have been enrolled onto the APAC MRDR to date, with the majority (86%) being newly diagnosed with MM. Bortezomib with an immunomodulatory drug was most frequently used in first-line MM therapy, and lenalidomide-based therapy was most common in second-line. Establishment and implementation challenges include regulatory and a range of operational issues. CONCLUSION: The APAC MRDR is providing 'real-world' data to participating sites, clinicians and policy-makers to explore factors influencing outcomes and survival, and to support high quality studies. It is already a valuable resource that will continue to grow and support research and clinical collaboration in MM and related diseases across the APAC region.

Multiple myeloma incidence, mortality, and prevalence estimates and projections, Australia, 1982-2043: a statistical modelling study.

OBJECTIVES: To examine changes in multiple myeloma incidence and mortality rates during 1982-2018, and to estimate its incidence, mortality, and prevalence for 2019-2043. STUDY DESIGN: Population-based statistical modelling study; analysis of and projections based on Australian Institute of Health and Welfare multiple myeloma incidence, mortality, and survival data. SETTING: Australia, 1982-2018 (historical data) and projections to 2043. MAIN OUTCOME MEASURES: Changes in multiple myeloma incidence and mortality rates, 1982-2018, determined by joinpoint regression analysis (age-standardised to 2021 Australian population); projection of rates to 2043 based on age-period-cohort models; estimated 5- and 30-year prevalence of multiple myeloma (modified counting method). RESULTS: The incidence of multiple myeloma increased during 1982-2018 (eg, annual percentage change [APC], 2006-2018, 1.9%; 95% confidence interval [CI], 1.7-2.2%), but the mortality rate declined during 1990-2018 (APC, -0.4%; 95% CI, -0.5% to -0.2%). The age-standardised incidence rate was projected to increase by 14.9% during 2018-2043, from 8.7 in 2018 to 10.0 (95% CI, 9.4-10.7) new cases per 100 000 population in 2043; the mortality rate was projected to decline by 27.5%, from 4.0 to 2.9 (95% CI, 2.6-3.3) deaths per 100 000 population. The annual number of people newly diagnosed with multiple myeloma was estimated to increase by 89.2%, from 2120 in 2018 to 4012 in 2043; the number of deaths from multiple myeloma was projected to increase by 31.7%, from 979 to 1289. The number of people living with multiple myeloma up to 30 years after initial diagnosis was projected to increase by 163%, from 10 288 in 2018 to 27 093 in 2043, including 13 019 people (48.1%) diagnosed during the preceding five years. CONCLUSION: Although the decline in the mortality rate was projected to continue, the projected increases in the incidence and prevalence of multiple myeloma in Australia over the next 25 years indicate that investment in prevention and early detection research, and planning for prolonged treatment and care, are needed.

Skeletal-Related Events in Patients With Multiple Myeloma: A Comprehensive Retrospective Cohort Study.

BACKGROUND: Multiple myeloma (MM) patients are at risk of skeletal-related events (SREs) like spinal cord compression, pathologic fractures, bone surgery, and radiation to bone. Real-world data regarding SREs in MM are limited. METHODS: We conducted a large, retrospective, nationwide cohort study using the Korean Health Insurance Review and Assessment Service (HIRA) database from 2007 to 2018. RESULTS: Over a 12-year study period, we identified 6,717 patients who developed symptomatic MM. After a median follow-up of 35.1 months (interquartile range [IQR], 20.8-58.2 months), 43.6% of these patients experienced SREs, and 39.6% had four or more SREs. One in five patients (20.0%) experienced pathologic fractures within the first year of follow-up. The median time to first SRE was 9.6 months (IQR, 1.2-25.8 months), with 3.0 months in the group with prior SREs and 19.8 months in the group without prior SREs. During follow-up, 78.5% of patients received bisphosphonates. Multiple logistic regression analysis revealed several factors associated with an increased risk of SREs, including being female (odds ratio [OR], 1.44), aged 50 or older (OR, 1.87), having cerebrovascular disease (OR, 1.34), undergoing first-line chemotherapy regimens not containing bortezomib or lenalidomide (OR, 1.49), and being in the group with prior SREs and bisphosphonate use (OR, 5.63), compared to the group without prior SREs and without bisphosphonate use. CONCLUSION: This population-based study is the first to report the incidence and risk factors of SREs in Korean MM patients, which can be used to assess their bone health.

Quantitative risk factor analysis of prior disease condition and socioeconomic status with the multiple myeloma development: nationwide cohort study.

Early diagnosis and following management are important determinants of the prognosis of multiple myeloma (MM). However, screening for MM is not routinely performed because it is rare disease. In this study, we evaluated the association of prior disease condition and socioeconomic status (SES) with MM diagnosis and developed a simple predictive model that can identify patients at high risk of developing MM who may need screening using nationwide database from South Korea. According to multivariate logistic regression analysis, eight prior disease conditions and SES before diagnosis were shown to be predictors of MM development and selected for score development. Total prediction scores were categorized into four groups: patients without any risk (≤ 0) intermediate-1 (0.5-9), intermediate-2 (9-14), and high risk (> 14). The odds ratios for developing MM in the intermediate-1, intermediate-2, and high-risk groups were 1.29, 3.07, and 4.62, respectively. The association of prior disease conditions and SES with MM diagnosis were demonstrated and the simple scoring system to predict the MM risk was developed. This scoring system is also provided by web-based application and could be a useful tool to support clinicians in identifying potential candidates for MM screening.

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.

Factors determining utilization of stem cell transplant for initial therapy of multiple myeloma by patient race: exploring intra-racial healthcare disparities.

Multiple myeloma (MM) therapeutics have evolved tremendously in recent years, with significant improvement in patient outcomes. As newer treatment options are developed, stem cell transplant (SCT) remains an important modality that provides excellent disease control and delays the progression of disease. Over the years, SCT use has increased overall in the U.S., but two distinct gaps remain, including suboptimal use overall and racial-ethnic disparities. We evaluated the National Cancer Database (NCDB) to study what sociodemographic factors might play a role within a given racial-ethnic group leading to disparate SCT utilization, such that targeted approaches can be developed to optimize SCT use for all. In nearly 112,000 cases belonging to mutually exclusive categories of non-Hispanic Whites (NHW), non-Hispanic Blacks (NHB), Hispanics, non-Hispanic Asians (NHA), and others, we found certain factors including age, comorbidity index, payor type, facility type (academic vs. community) and facility volume to be uniformly associated with SCT use for all the racial-ethnic groups, while gender was not significant for any of the groups. There were several other factors that had a differential impact on SCT utilization among the various race-ethnicity groups studied, including year of diagnosis (significant for NHW, NHB, and Hispanics), income level (significant for NHW and Hispanics), literacy level (significant for NHW and NHB), and geographic location of the treatment facility (significant for NHW and NHA). The suboptimal SCT utilization overall in the U.S. suggests that there may be room for improvement for all, even including the majority NHW, while we continue to work on factors that lead to disparities for the traditionally underserved populations. This study helps identify sociodemographic factors that may play a role specifically in each group and paves the way to devise targeted solutions such that resource utilization and impact can be maximized.

Multiple myeloma incidence, mortality, and survival differences at the intersection of sex, age, and race/ethnicity: A comparison between Puerto Rico and the United States SEER population.

BACKGROUND: Multiple myeloma (MM) survival has increased during the last decades due to the introduction of new therapies. We investigated the intersectionality among age, sex, and race/ethnicity to better understand the pattern of MM incidence, mortality, and survival. METHODS: Puerto Rico (PR) Central Cancer Registry and the United States of America (US) Surveillance, Epidemiology, and End Results (SEER) Program databases were used. We analyzed MM incidence and mortality trends from 2001 to 2019 using Joinpoint regression models to calculate annual percent change (APC). Age-standardized rate ratios (SRR) for incidence and mortality were used to compare PR with US SEER racial/ethnic groups during 2015-2019. Five-year survival analyses were also performed stratified by age and sex. RESULTS: Regardless of age and race/ethnicity, males had higher MM incidence and mortality rates than females. PR had a higher increase in incidence rates of MM than other ethnic groups, regardless of sex and age (PR APC = 4.3 among males <65, 3.1 among males ≥65, 6.3 among females <65, and 2.6 among females ≥65 years old). No significant change in mortality APCs (p > 0.05) was observed in PR when stratified by age or sex while other groups showed a decrease. Among males < 65 years, PR had significantly higher incidence rates than non-Hispanic Whites (NHW), and US Hispanics (USH). However, among both males and females ≥ 65 years, PR had significantly lower MM mortality rates than NHW, non-Hispanic Blacks (NHB), USH, and US Overall. In terms of survival, PR showed the lowest 5-year overall survival among males < 65 years (54.6%, 95% CI: 47.2-61.5) and males ≥ 65 years (34.5%, 95% CI: 29.2-39.9) but not among females. CONCLUSION: The incidence of MM in PR increased significantly over the study period, particularly among younger women. Despite the introduction of new therapies, mortality rates in PR have remained stable while other ethnic groups show significant decreases among all intersections of sex and age.

Mode of progression in smoldering multiple myeloma: a study of 406 patients.

The approach to patients with high-risk smoldering multiple myeloma (SMM) varies among clinicians; while some advocate early intervention, others reserve treatment at progression to multiple myeloma (MM). We aimed to describe the myeloma-defining events (MDEs) and clinical presentations leading to MM diagnosis among SMM patients seen at our institution. We included 406 patients diagnosed with SMM between 2013-2022, seen at Mayo Clinic, Rochester, MN. The 2018 Mayo 20/2/20 criteria were used for risk stratification. Median follow-up was 3.9 years. Among high-risk patients who did not receive treatment in the SMM phase (n = 71), 51 progressed by last follow-up; the MDEs included: bone lesions (37%), anemia (35%), hypercalcemia (8%), and renal failure (6%); 24% met MM criteria based on marrow plasmacytosis (≥60%) and/or free light chain ratio (>100); 45% had clinically significant MDEs (hypercalcemia, renal insufficiency, and/or bone lesions). MM diagnosis was made based on surveillance labs/imaging(45%), testing obtained due to provider suspicion for progression (14%), bone pain (20%), and hospitalization/ED presentations due to MM complications/symptoms (4%). The presentation was undocumented in 14%. A high proportion (45%) of patients with high-risk SMM on active surveillance develop end-organ damage at progression. About a quarter of patients who progress to MM are not diagnosed based on routine interval surveillance testing.

Multiple myeloma incidence and mortality trends in the United States, 1999-2020.

Multiple myeloma (MM) is a plasma cell disorder accounting for approximately 10% of hematologic malignancies. There is limited epidemiological evidence regarding the long-term trends and disparities in MM in the US. We conducted a multiple time point cross-sectional study using MM incidence rate data from the Surveillance, Epidemiology, and End Results (SEER) database and mortality data from the CDC Wide-Ranging Online Data for Epidemiologic Research (CDC WONDER) Underlying Cause of Death database between 1999 and 2020. During this period, MM incidence has steadily increased, while MM mortality has steadily decreased, with substantial racial and ethnic disparities. Non-Hispanic Black individuals exhibited the highest incidence rates, which consistently rose from 12.02 (95% CI 10.54, 13.64) in 1999 to 14.20 (95% CI 12.93, 15.55) per 100,000 population by 2020. Non-Hispanic American Indian/Native Alaskans and Asian/Pacific Islanders demonstrated the lowest incidence rates of 5.59 (95% CI 2.69, 10.04) and 3.56 (95% CI 2.94, 4.27) per 100,000 population in 1999 to 5.76 (95% CI 3.49, 8.90) and 3.92 (95% CI 3.46, 4.42) per 100,000 population, respectively, by 2020. Disparities by gender, age, US census region, and rurality were observed, underscoring the importance of targeted, equity-centered interventions and MM screening initiatives for at-risk populations.

Clinico-Pathological Profiles of Multiple Myeloma Patients in a Tertiary Care Hospital.

Multiple myeloma (MM), mature B-cell lineage neoplasm, is characterized by abnormal clonal proliferation of plasma cells and presence of monoclonal protein (M protein). The study was conducted to reveal presenting features, laboratory findings, Eastern Cooperative Oncology Group (ECOG) performance status and skeletal survey on patients with multiple myeloma. This descriptive, cross-sectional study was carried out in the Department of Haematology, Dhaka Medical College Hospital, Dhaka, Bangladesh from January 2019 to July 2020 with a sample size of 81. Data were collected in a case record form after obtaining informed verbal consent from patients and /or their legal guardians. Relevant ethical issues and data quality assurance were taken into consideration. Data were analyzed with SPSS, Version 25.0 with presentation in figures and tables with frequency, percentage, mean and standard deviation based on data nature. Statistical tests were carried out as appropriate with 5.0% level of significance for assessing statistical association. Mean age of the patients was 58.9±12.0 years. Male female ratio was 2:1. 35(43.2%) patients were smokers with only 2(2.5%) had family history of haematological malignancies. Bone pain (72.8%) was the most common presenting feature, while hypertension (59.1%), diabetes mellitus (29.5%), respiratory illness (11.3%) and cardiac disease (11.4%) were the common co-morbidities. Most common ECOG performance status was ECOG-1(48.1%). Mean haemoglobin (Hb) was 9.4±2.3gm/dl and mean erythrocyte sedimentation rate (ESR) was 89.5±42.1 mm in 1st hour. Mean serum creatinine level was 2.0±1.85 mg/dl and ≥2.0mg/dl in 42(34.2%). Among 50 documentation serum lactate dehydrogenase (LDH) was raised in 18(36.0%). Mean serum calcium level was 9.6±1.8mg/dl >11.0mg/dL in 10(14.5%) cases. Serum albumin <3.5gm/dl in 37(49.3%), ß2-microglobulin >5.5mg/dl in 37(57.8%) cases, International staging system (ISS) stage III was in 59.4% and Bence Jones Protein (BJP) was present in 46.7% cases. Lytic lesions were present in 75.0%, In 38(74.5%) patients vertebrae were involved, while in 18(35.2%) ribs were involved, in 14(27.5%) patients skull was involved and in 3(5.9%) patients involved bones were femur, humerus, sternum and scapula. Mean plasma cells percentage was 62.1±24.9%. Immuno-Fixation Electrophoresis (IFE) revealed IgG (72.7%), IgA (18.2%), Free light chain (FLC) (9.1%). FLC ratio was ≥100 in 29.0% cases. Significant statistical association was observed between serum creatinine with Hb concentration (p<0.05), serum creatinine level with ISS staging (p<0.05) and serum calcium level (p<0/05), while insignificant association was revealed between BJP present status and serum creatinine level (p>0.05). Bone pain, fatigue, fever and neurological impairment were the common presenting features. Anaemia, renal impairment and skeletal lytic events were the prominent physical findings. ISS staging was statistically associated with serum creatinine level, while serum calcium level was associated with serum creatinine and lytic lesions.

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.