Development of an Algorithm to Distinguish Smoldering Versus Symptomatic Multiple Myeloma in Claims-Based Data Sets

Association between low-income subsidies and inequities in orally administered antimyeloma therapy use

OBJECTIVES

The Medicare Part D low-income subsidy program drastically reduces patient cost sharing and may improve access to and equitable use of high-cost antimyeloma therapy. We compared initiation of and adherence to orally administered antimyeloma therapy between full-subsidy and nonsubsidy enrollees and assessed the association between full subsidies and racial/ethnic inequities in orally administered antimyeloma treatment use.

STUDY DESIGN

Retrospective cohort study.

METHODS

We used Surveillance, Epidemiology, and End Results-Medicare data to identify beneficiaries diagnosed with multiple myeloma between 2007 and 2015. Separate Cox proportional hazards models assessed time from diagnosis to treatment initiation and time from therapy initiation to discontinuation. Modified Poisson regression examined therapy initiation in the 30, 60, and 90 days following diagnosis and adherence to and discontinuation of treatment in the 180 days following initiation.

RESULTS

Receipt of full subsidies was not associated with earlier initiation of or improved adherence to orally administered antimyeloma therapy. Full-subsidy enrollees were 22% (adjusted HR [aHR], 1.22; 95% CI, 1.08-1.38) more likely to experience earlier treatment discontinuation than nonsubsidy enrollees. Receipt of full subsidies did not appear to reduce racial/ethnic inequities in orally administered antimyeloma therapy use. Black full-subsidy and nonsubsidy enrollees were 14% less likely than their White counterparts to ever initiate treatment (full subsidy: aHR, 0.86; 95% CI, 0.73-1.02; nonsubsidy: aHR, 0.86; 95% CI, 0.74-0.99).

CONCLUSIONS

Full subsidies alone are insufficient to increase uptake or equitable use of orally administered antimyeloma therapy. Addressing known barriers to care (eg, social determinants of health, implicit bias) could improve access to and use of high-cost antimyeloma therapy.

Validation of algorithms to select patients with multiple myeloma and patients initiating myeloma treatment in the national Veterans Affairs Healthcare System

BACKGROUND

We aimed to evaluate and compare the performance of multiple myeloma (MM) selection algorithms for use in Veterans Affairs (VA) research.

METHODS

Using the VA Corporate Data Warehouse (CDW), the VA Cancer Registry (VACR), and VA pharmacy data, we randomly selected 500 patients from 01/01/1999 to 06/01/2021 who had (1) either one MM diagnostic code OR were listed in the VACR as having MM AND (2) at least one MM treatment code. A team reviewed oncology notes for each veteran to annotate details regarding MM diagnosis and initial treatment within VA. We evaluated inter-annotator agreement and compared the performance of four published algorithms (two developed and validated external to VA data and two used in VA data).

RESULTS

A total of 859 patients were reviewed to obtain 500 patients who were annotated as having MM and initiating MM treatment in VA. Agreement was high among annotators for all variables: MM diagnosis (98.3% agreement, Kappa = 0.93); initial treatment in VA (91.8% agreement; Kappa = 0.77); and initial treatment classification (87.6% agreement; Kappa = 0.86). VA Algorithms were more specific and had higher PPVs than non-VA algorithms for both MM diagnosis and initial treatment in VA. We developed the "VA Recommended Algorithm," which had the highest PPV among all algorithms in identifying patients diagnosed with MM (PPV = 0.98, 95% CI = 0.95-0.99) and in identifying patients who initiated their MM treatment in VA (PPV = 0.93, 95% CI = 0.90-0.96).

CONCLUSION

Our VA Recommended Algorithm optimizes sensitivity and PPV for cohort selection and treatment classification.

Trajectory of Symptoms in Patients Undergoing Autologous Stem Cell Transplant for Multiple Myeloma: A Population-Based Cohort Study of Patient-Reported Outcomes

BACKGROUND

Autologous stem cell transplant (ASCT) is an established treatment for patients with newly diagnosed multiple myeloma (NDMM). Understanding the symptom burden associated with ASCT may be an important consideration for patients with NDMM when selecting treatment options.

PATIENTS AND METHODS

We conducted a population-based study of patients who underwent an ASCT for NDMM in Ontario, Canada, between 2007 and 2018. The patient-reported outcome, Edmonton Symptom Assessment System (ESAS) score, which captures nine common cancer-associated symptoms and is routinely collected at all outpatient visits, was linked to provincial administrative healthcare data. The monthly prevalence of moderate or severe symptoms (ESAS ≥ 4) each month in the first year following ASCT was analyzed. A multivariable logistic regression model was used to identify factors associated with moderate to severe symptoms.

RESULTS

In our final cohort of 1969 patients who had undergone an ASCT, a total of 12,820 unique assessments were captured. Symptom burden was highest at 1 month post-ASCT, with moderate to severe tiredness and impaired well-being being the two most common symptoms. Symptom burden substantially improved by 3 months post-ASCT, reaching a new baseline for the year following. On multivariable analysis, female sex, increased co-morbidities, earlier year of diagnosis, and myeloma-related end-organ damage (specifically, bone and kidney disease) were associated with a higher odds of reporting moderate to severe symptoms.

CONCLUSION

In this large population-based study using patient-reported outcomes, there was a substantial burden of symptoms noted among NDMM patients 1 month post-ASCT, which improved over time. Tailored supportive care interventions should focus on strategies to optimize management of identified symptoms.

Statins Reduce Mortality in Multiple Myeloma: A Population-Based US Study

BACKGROUND

We studied the effect of statins on mortality in a nationally representative sample of patients with multiple myeloma, and explored the benefit of statins in a subgroup of patients treated with novel agents.

METHODS

Patients diagnosed with multiple myeloma between 2007 and 2013 were identified in the SEER-Medicare database using International Classification of Diseases (ICD)-03 codes. ICD-9 and Healthcare Common Procedure Coding System codes were used to identify comorbidities and treatments. We assessed the association of statins with mortality in patients with multiple myeloma using multivariate Cox proportional hazards regression analysis. For subanalysis, we used the same statistical technique to investigate the effect of statins on mortality in myeloma patients treated with novel agents.

RESULTS

A total of 5922 patients were diagnosed with multiple myeloma within the study period. Use of statins was associated with 21% reduction in risk of death (adjusted hazard ratio [aHR] 0.79; 95% confidence interval [CI] 0.74-0.84) among all patients with multiple myeloma. Among the patents treated with novel agents (n = 3603), statins reduced mortality by 10% (aHR = 0.90, 95% CI 0.83-0.98).

CONCLUSIONS

Use of statins is likely associated with lower mortality in patients with multiple myeloma.

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

BACKGROUND

Treatment with novel agents has become the standard of care for newly diagnosed multiple myeloma, but members of racial and ethnic minority groups receive these agents at a lower rate than their peers. Researchers have largely attributed this finding to the higher costs of these drugs in respect to traditional chemotherapies, but data supporting this hypothesis are lacking. We compared the relative bortezomib and lenalidomide utilization in patients with newly diagnosed multiple myeloma, hypothesizing that the disparity between white and African American patients would be greater for lenalidomide as a result of its higher overall and out-of-pocket costs.

METHODS

We reviewed the utilization patterns of bortezomib and lenalidomide using the Surveillance, Epidemiology, and End Results (SEER)-Medicare linked database.

RESULTS

Bortezomib utilization was 31% less likely for African Americans compared to whites. There was no statistically significant difference in lenalidomide utilization when other factors were controlled.

CONCLUSION

Our findings do not support the hypothesis that higher respective costs are the cause of the racial disparities in novel agent utilization for myeloma treatment. We postulate that travel or logistical issues, structural barriers in the medical system, and preferences and biases among patients and providers may also be involved in the observed treatment disparities.

The characteristics, treatment patterns, and outcomes of older adults aged 80 and over with multiple myeloma

OBJECTIVES

Tremendous progress has been made in the treatment of multiple myeloma; however, the majority of this success has been demonstrated in younger patients. With 36% of patients >80 years-old at diagnosis, it is important to understand if older patients are receiving similar benefits.

MATERIALS AND METHODS

We identified 2155 patients diagnosed with myeloma at age 80 or older in the Surveillance, Epidemiology, and End Results Program (SEER)-Medicare database from 2007 to 2013. A cohort of 2933 similar patients diagnosed with myeloma at age 70-79 was used for comparison using a difference-in-differences design.

RESULTS

Only 51% of patients >80 years-old at diagnosis received systemic anti-myeloma treatment. Treatment was associated with a 26% decrease in hazard for death, independent of age, race, gender, poverty, comorbidities, and proxy measures of performance status. In the 70-79 cohort, treatment was associated with a 22% decrease in hazard for death. Based on the difference-in-differences design, there is no statistically significant difference in treatment benefit based on age cohort (p = .610).

CONCLUSIONS

Anti-myeloma treatment produces a similar survival benefit among the oldest patients. The population over 80, when myeloma incidence peaks, is projected to triple over the next few decades. It is imperative that we continue to advance our understanding of the needs of this vulnerable subgroup of patients with myeloma.

Validating an algorithm for multiple myeloma based on administrative data using a SEER tumor registry and medical record review

PURPOSE

Large numbers of multiple myeloma patients can be studied in real-world clinical settings using administrative databases. The validity of these studies is contingent upon accurate case identification. Our objective was to develop and evaluate algorithms to use with administrative data to identify multiple myeloma cases.

METHODS

Patients aged ≥18 years with ≥1 International Classification of Diseases, 9th Revision, Clinical Modification (ICD-9-CM) code for multiple myeloma (203.0x) were identified at two study sites. At site 1, several algorithms were developed and validated by comparing results to tumor registry cases. An algorithm with a reasonable positive predictive value (PPV) (0.81) and sensitivity (0.73) was selected and then validated at site 2 where results were compared with medical chart data. The algorithm required that ICD-9-CM codes 203.0x occur before and after the diagnostic procedure codes for multiple myeloma.

RESULTS

At site 1, we identified 1432 patients. The PPVs of algorithms tested ranged from 0.54 to 0.88. Sensitivities ranged from 0.30 to 0.88. At site 2, a random sample (n = 400) was selected from 3866 patients, and medical charts were reviewed by a clinician for 105 patients. Algorithm PPV was 0.86 (95% CI, 0.79-0.92).

CONCLUSIONS

We identified cases of multiple myeloma with adequate validity for claims database analyses. At least two ICD-9-CM diagnosis codes 203.0x preceding diagnostic procedure codes for multiple myeloma followed by ICD-9-CM codes within a specific time window after diagnostic procedure codes were required to achieve reasonable algorithm performance.

Undertreatment of Older Patients With Newly Diagnosed Multiple Myeloma in the Era of Novel Therapies

BACKGROUND

With the expanding armamentarium of therapeutic agents for multiple myeloma (MM), it is important to identify any undertreated patient populations to mitigate outcome disparities.

MATERIALS AND METHODS

We extracted the data for all plasma cell myeloma cases (International Classification of Disease for Oncology, third revision [ICD-O-3] code 9732) in the Surveillance, Epidemiology, End Results (SEER)-Medicare database from 2007 to 2011. The ICD-O-3 histologic code 9732 captures both active MM and smoldering/asymptomatic myeloma. We defined active MM as either claims indicating receipt of treatments approved for MM or ICD-9 codes for MM-defining clinical features, referred to as the CRAB criteria (calcium [elevated], renal failure, anemia, bone lesions). Multivariate logistic regression was performed to determine the variables that were independently associated with receipt of no treatment.

RESULTS

Of the initial 4187 patients included in the present study, 373 had no claims indicating receipt of treatments approved for MM and had no ICD-9 codes associated with the CRAB criteria and were excluded from the analyses. Of the 3814 patients with active MM, 1445 (38%) did not have any claims confirming that they had received systemic treatment. Older age, poor performance indicators, comorbidities, African-American race, and lower socioeconomic status, including enrollment in Medicaid, were statistically significant factors associated with the receipt of no systemic treatment.

CONCLUSIONS

In the present retrospective study of data from the SEER-Medicare database, we found that age, health status, race, and socioeconomic status were associated with receipt of MM treatment. These factors have previously been linked to reduced usage of specific treatments for MM, such as stem cell transplantation. To the best of our knowledge, however, ours is the first study to show their association with the receipt of any MM therapy.