Cost-effectiveness of medication therapy management among Medicare population and across racial/ethnic groups.

BACKGROUND: Inappropriate medication utilization among older adults is a pressing concern in the United States, owing to its high prevalence and the consequential detrimental impact it engenders. The adverse effects stemming from the inappropriate use of medication may be unequally borne by racial/ethnic minority populations, calling for greater efforts towards promoting equity in healthcare. The study objective was to assess the cost-effectiveness of Medication Therapy Management (MTM) services among Medicare beneficiaries and across racial/ethnic groups. METHODS: Medicare administrative data from 2016 to 2017 linked to Area Health Resources Files were used to analyze Medicare fee-for-service patients aged 65 or above with continuous Parts A/B/D coverage. The intervention group included new MTM enrollees in 2017; the control group referred to patients who met the general MTM eligible criteria but did not enroll in 2016 or 2017. The 2 groups were matched using a propensity score method. Effectiveness was evaluated as the proportion of appropriate medication utilization based on performance measures developed by the Pharmacy Quality Alliance. Costs were computed as total healthcare costs from Medicare perspective. A multivariable net benefit regressions with a classic linear model and Bayesian analysis were utilized. Net benefit was calculated based on willingness-to-pay thresholds at various multiples of the gross domestic product in 2017. Three-way interaction terms among dummy variables for MTM enrollment, 2017, and racial/ethnic minority groups were incorporated in a difference-in-differences study design. RESULTS: After adjusting for patient characteristics, the findings indicate that MTM receipt was associated with incremental net benefit among each race and ethnicity. For instance, the net benefit of MTM among the non-Hispanic White patients was $2498 (95% confidence interval = $1609, $3386) at a willingness-to-pay value of $59,908. The study found no significant difference in net benefits for MTM services between minority and White patients. CONCLUSION: The study provides evidence that MTM is a cost-effective tool for managing medication utilization among the Medicare population. However, MTM may not be cost-effective in reducing racial/ethnic disparities in medication utilization in the short term. Further research is needed to understand the long-term cost-effectiveness of MTM on racial/ethnic disparities.

Cancer diagnosis and treatment in working-age adults: Implications for employment, health insurance coverage, and financial hardship in the United States.

The rising costs of cancer care and subsequent medical financial hardship for cancer survivors and families are well documented in the United States. Less attention has been paid to employment disruptions and loss of household income after a cancer diagnosis and during treatment, potentially resulting in lasting financial hardship, particularly for working-age adults not yet age-eligible for Medicare coverage and their families. In this article, the authors use a composite patient case to illustrate the adverse consequences of cancer diagnosis and treatment for employment, health insurance coverage, household income, and other aspects of financial hardship. They summarize existing research and provide nationally representative estimates of multiple aspects of financial hardship and health insurance coverage, benefit design, and employee benefits, such as paid sick leave, among working-age adults with a history of cancer and compare them with estimates among working-age adults without a history of cancer from the most recently available years of the National Health Interview Survey (2019-2021). Then, the authors identify opportunities for addressing employment and health insurance coverage challenges at multiple levels, including federal, state, and local policies; employers; cancer care delivery organizations; and nonprofit organizations. These efforts, when informed by research to identify best practices, can potentially help mitigate the financial hardship associated with cancer.

In-Clinic vs. Online Recruitment of Women with a History of Cervical Intraepithelial Neoplasia or Cervical Cancer to a Smoking Cessation Trial: A Post-hoc Comparison of Participant Characteristics, Study Retention, and Cessation Outcomes.

INTRODUCTION: Recruiting special populations to smoking cessation trials is challenging and approaches beyond in-clinic recruitment may be beneficial. This secondary analysis of data from a smoking cessation RCT for individuals with a history of cervical cancer or cervical intraepithelial neoplasia (CIN) explored differences associated with in-clinic vs. online recruitment. METHODS: Participants were recruited from clinics within a university-based NCI-designated cancer center (n=87) and online nationally via Facebook (n=115). Baseline measures included sociodemographics, smoking history, and cancer or CIN history. Study retention and smoking abstinence were assessed 12 months post-baseline. Group differences in baseline characteristics were evaluated. Retention and abstinence were evaluated while controlling for group differences and predictors. RESULTS: Participants recruited online (vs. in-clinic) had higher educational attainment (p=.01) and health literacy (p=.003). They were more likely to have CIN vs. cancer, to be further from the time of diagnosis, and to have completed active treatment (p values<.001). While controlling for these group differences and independent predictors, retention was higher among participants recruited online (log-likelihood χ2(1)=11.41, p<.001). There were no recruitment differences in self-reported (p=.90) or biochemically confirmed smoking abstinence (p=.18). CONCLUSIONS: Compared to individuals recruited in-person, individuals recruited online were more educated, had higher health literacy, and presented with a different clinical profile (i.e., more likely to have CIN vs. cancer and to have completed active treatment). There were few differences in participant characteristics between recruitment approaches, and no differences on any smoking-related variables. Online recruitment has the potential to improve enrollment of cancer survivors to smoking cessation trials. IMPLICATIONS: People with a history of CIN or cervical cancer recruited to a smoking cessation RCT online (vs. in-clinic) were more likely to have a diagnosis of CIN vs. cancer and were more educated and health literate. Participants recruited online were more likely to be retained in the study and there were no differences in smoking abstinence rates at 12-months. Incorporating online recruitment increased the reach of tobacco treatment efforts to a larger and more diverse sample. This could reduce the burden of tobacco-related disease, improve CIN and cancer treatment outcomes, and reduce secondary malignancies and morbidity among this underserved group.

Cost-Effectiveness of Population-Based Multigene Testing for Breast and Ovarian Cancer Prevention.

Importance: The current method of BRCA testing for breast and ovarian cancer prevention, which is based on family history, often fails to identify many carriers of pathogenic variants. Population-based genetic testing offers a transformative approach in cancer prevention by allowing for proactive identification of any high-risk individuals and enabling early interventions. Objective: To assess the lifetime incremental effectiveness, costs, and cost-effectiveness of population-based multigene testing vs family history-based testing. Design, Setting, and Participants: This economic evaluation used a microsimulation model to assess the cost-effectiveness of multigene testing (BRCA1, BRCA2, and PALB2) for all women aged 30 to 35 years compared with the current standard of care that is family history based. Carriers of pathogenic variants were offered interventions, such as magnetic resonance imaging with or without mammography, chemoprevention, or risk-reducing mastectomy and salpingo-oophorectomy, to reduce cancer risk. A total of 2000 simulations were run on 1 000 000 women, using a lifetime time horizon and payer perspective, and costs were adjusted to 2022 US dollars. This study was conducted from September 1, 2020, to December 15, 2023. Main Outcomes and Measures: The main outcome measure was the incremental cost-effectiveness ratio (ICER), quantified as cost per quality-adjusted life-year (QALY) gained. Secondary outcomes included incremental cost, additional breast and ovarian cancer cases prevented, and excess deaths due to coronary heart disease (CHD). Results: The study assessed 1 000 000 simulated women aged 30 to 35 years in the US. In the base case, population-based multigene testing was more cost-effective compared with family history-based testing, with an ICER of $55 548 per QALY (95% CI, $47 288-$65 850 per QALY). Population-based multigene testing would be able to prevent an additional 1338 cases of breast cancer and 663 cases of ovarian cancer, but it would also result in 69 cases of excess CHD and 10 excess CHD deaths per million women. The probabilistic sensitivity analyses show that the probability that population-based multigene testing is cost-effective was 100%. When the cost of the multigene test exceeded $825, population-based testing was no longer cost-effective (ICER, $100 005 per QALY; 95% CI, $87 601-$11 6323). Conclusions and Relevance: In this economic analysis of population-based multigene testing, population-based testing was a more cost-effective strategy for the prevention of breast cancer and ovarian cancer when compared with the current family history-based testing strategy at the $100 000 per QALY willingness-to-pay threshold. These findings support the need for more comprehensive genetic testing strategies to identify pathogenic variant carriers and enable informed decision-making for personalized risk management.

Longitudinal varying coefficient single-index model with censored covariates.

It is of interest to health policy research to estimate the population-averaged longitudinal medical cost trajectory from initial cancer diagnosis to death, and understand how the trajectory curve is affected by patient characteristics. This research question leads to a number of statistical challenges because the longitudinal cost data are often non-normally distributed with skewness, zero-inflation, and heteroscedasticity. The trajectory is nonlinear, and its length and shape depend on survival, which are subject to censoring. Modeling the association between multiple patient characteristics and nonlinear cost trajectory curves of varying lengths should take into consideration parsimony, flexibility, and interpretation. We propose a novel longitudinal varying coefficient single-index model. Multiple patient characteristics are summarized in a single-index, representing a patient's overall propensity for healthcare use. The effects of this index on various segments of the cost trajectory depend on both time and survival, which is flexibly modeled by a bivariate varying coefficient function. The model is estimated by generalized estimating equations with an extended marginal mean structure to accommodate censored survival time as a covariate. We established the pointwise confidence interval of the varying coefficient and a test for the covariate effect. The numerical performance was extensively studied in simulations. We applied the proposed methodology to medical cost data of prostate cancer patients from the Surveillance, Epidemiology, and End Results-Medicare-Linked Database.

Induction of Phosphorylated Tau Accumulation and Memory Impairment by Bisphenol A and the Protective Effects of Carnosic Acid in In Vitro and In Vivo.

Bisphenol A (BPA) is a component of polycarbonate plastics that has been implicated in memory impairment. The present study investigated the effect of carnosic acid (CA) on memory deficit induced by BPA and the role of Akt in this mechanism. First, SH-SY5Y cells were treated with 20 nM BPA and 1 µM CA for 12 h. The results showed that treatment of CA with BPA improved the alternation of IRS-1/Akt/GSK-3ß as well as the induction of ApoE and Ser396p-tau. Moreover, treatment of CA with BPA restored the signaling involved in long-term potentiation (LTP) effect, leading to induction of synaptic-related proteins, such as PSD-95, synapsin1a, and pro-BDNF. Wortmannin treatment alleviated the reversal by CA. Then, C57BL/6 J male mice were orally administered with CA to test the memory function in BPA treatment. The results showed that CA and RE can improve BPA-induced impairment of motor, recognition, and spatial memory by using open-field test (OFT), novel objective recognition test (NOR), and Y-maze test, respectively. Moreover, CA and RE improved the phosphorylation of tau and the reduction of PSD-95, synapsin1a, and pro-BDNF proteins induced by BPA. Therefore, the results indicated that CA decreased the phosphorylated tau and memory impairment induced by BPA through Akt pathway.

Work Productivity Among Younger Breast Cancer Survivors: The Impact of Behavioral Interventions for Depression.

OBJECTIVES: The Pathways to Wellness randomized controlled trial found that 2 behavioral interventions, mindfulness awareness practices and survivorship education, reduced depressive symptoms in younger breast cancer survivors (BCSs) compared with wait-list control. This secondary analysis examines whether the interventions led to reduced loss of work productivity among younger BCSs and whether such reductions were mediated by reductions in depressive symptoms. METHODS: The Work Productivity and Activity Impairment scale was used to measure work productivity loss at 4 assessment time points. Correlates of productivity loss at enrollment were examined using multivariable linear regression. Differences in change over time in productivity loss between each intervention group and control were assessed using linear mixed models. Reduced depressive symptoms were tested as a mediator of reduced productivity loss. RESULTS: Of 247 trial participants, 199 were employed and included in the analyses. At enrollment, higher productivity loss was associated with chemotherapy receipt (P = .003), younger age (P = .021), more severe cognitive problems (P = .002), higher musculoskeletal pain severity (P = .002), more depressive symptoms (P = .016), and higher fatigue severity (P = .033). The mindfulness intervention led to significantly less productivity loss compared with control at all 3 postintervention assessment points (all P < .05), with about 54% of the effect mediated by reduction in depressive symptoms. Survivorship education was not associated with reduced loss of productivity. CONCLUSIONS: These findings suggest that addressing depressive symptoms through behavioral interventions, such as mindfulness, may mitigate impacts on work productivity in younger BCSs.

A Deep Learning Decision Support Tool to Improve Risk Stratification and Reduce Unnecessary Biopsies in BI-RADS 4 Mammograms.

Purpose: To evaluate the performance of a biopsy decision support algorithmic model, the intelligent-augmented breast cancer risk calculator (iBRISK), on a multicenter patient dataset. Materials and Methods: iBRISK was previously developed by applying deep learning to clinical risk factors and mammographic descriptors from 9700 patient records at the primary institution and validated using another 1078 patients. All patients were seen from March 2006 to December 2016. In this multicenter study, iBRISK was further assessed on an independent, retrospective dataset (January 2015-June 2019) from three major health care institutions in Texas, with Breast Imaging Reporting and Data System (BI-RADS) category 4 lesions. Data were dichotomized and trichotomized to measure precision in risk stratification and probability of malignancy (POM) estimation. iBRISK score was also evaluated as a continuous predictor of malignancy, and cost savings analysis was performed. Results: The iBRISK model's accuracy was 89.5%, area under the receiver operating characteristic curve (AUC) was 0.93 (95% CI: 0.92, 0.95), sensitivity was 100%, and specificity was 81%. A total of 4209 women (median age, 56 years [IQR, 45-65 years]) were included in the multicenter dataset. Only two of 1228 patients (0.16%) in the "low" POM group had malignant lesions, while in the "high" POM group, the malignancy rate was 85.9%. iBRISK score as a continuous predictor of malignancy yielded an AUC of 0.97 (95% CI: 0.97, 0.98). Estimated potential cost savings were more than $420 million. Conclusion: iBRISK demonstrated high sensitivity in the malignancy prediction of BI-RADS 4 lesions. iBRISK may safely obviate biopsies in up to 50% of patients in low or moderate POM groups and reduce biopsy-associated costs.Keywords: Mammography, Breast, Oncology, Biopsy/Needle Aspiration, Radiomics, Precision Mammography, AI-augmented Biopsy Decision Support Tool, Breast Cancer Risk Calculator, BI-RADS 4 Mammography Risk Stratification, Overbiopsy Reduction, Probability of Malignancy (POM) Assessment, Biopsy-based Positive Predictive Value (PPV3) Supplemental material is available for this article. Published under a CC BY 4.0 license.See also the commentary by McDonald and Conant in this issue.

Examining the Association between Abstinence from Smoking and Healthcare Costs Among Patients with Cancer.

Continuous tobacco use in cancer patients is linked to substantial healthcare costs due to increased risks and complications, whereas quitting smoking leads to improved treatment outcomes and cost reductions. Addressing the need for empirical evidence on the economic impact of smoking cessation, this study examined the association between smoking cessation and healthcare cost utilization among a sample of 930 cancer patients treated at The University of Texas MD Anderson Cancer Center's Tobacco Research and Treatment Program (TRTP). Applying conditional quantile regression and propensity scores to address confounding, our findings revealed that abstinence achieved through the TRTP significantly reduced the median cost during a 3-month period post-quitting by $1,095 (ß=-$1,095, p=0.007, 95%CI=[-$1,886, -$304]). Sensitivity analysis corroborated these conclusions, showing a pronounced cost reduction when outlier data were excluded. The long-term accrued cost savings from smoking cessation could potentially offset the cost of participation in the TRTP program, underscoring its cost-effectiveness. An important implication of this study is that by reducing smoking rates, healthcare systems can more efficiently allocate resources, enhance patient health outcomes, and lessen the overall cancer burden.

Disparity in initiation of checkpoint inhibitors among commercially insured and Medicare Advantage patients with metastatic melanoma.

BACKGROUND: Immune checkpoint inhibitors (ICIs) have revolutionized the treatment of advanced melanoma, but racial disparities in melanoma outcomes continue. These inequities are not fully explained by individual factors. OBJECTIVE: To investigate the associations of neighborhood factors with the use of ICIs in metastatic melanoma. METHODS: We conducted a retrospective cohort study of commercially insured US adults with metastatic melanoma diagnosed between January 2011 and December 2020. We examined the associations between the county-level percentage of population from racial and ethnic minority groups and the time from metastatic melanoma diagnosis to initiating ICIs using Cox proportional hazards models adjusting for patient characteristics. RESULTS: We identified 4,052 patients with metastatic melanoma, of which 49% used ICIs. We found that the adoption of ICIs in a county declined with increasing minority quintile (quintile 1: 52.4%, quintile 2: 50.4%, quintile 3: 50.1%, quintile 4: 45.8%, and quintile 5: 44.7%). The delay in ICI initiation also went up as the percentage of minorities in a county increased (log-rank test P = 0.03). Compared with the lowest quintile, the adjusted hazard ratio of ICI initiation of the second, third, fourth, and highest minority quintile was 0.94 (95% CI = 0.81-1.08), 0.88 (95% CI = 0.76-1.02), 0.81 (95% CI = 0.68-0.97), and 0.77 (95% CI = 0.66-0.91), respectively. Secondary analysis revealed that the slower initiation was driven by the counties with the highest percentage of Hispanic population (hazard ratio = 0.74; 95% CI = 0.61-0.89) in both Cox models and sensitivity analyses. High-minority counties correlated with metro areas, higher poverty levels, and a greater number of medical oncologists. CONCLUSIONS: We found that patients with metastatic melanoma living in counties with higher proportion of minorities, particularly of Hispanic origin, are more likely to experience delays in ICI treatment. This study provides important population-level data on neighborhood-level disparity in medication use. More research is needed on the underlying provider- and system-level factors that directly contributed to the lower use of cancer medicines in high-minority areas, which can help inform the development of evidence-based medication use strategies that can improve health outcomes and equity.

Financial Outcomes of "Bagging" Oncology Drugs Among Privately Insured Patients With Cancer.

This cohort study examines the difference in per-patient per-month costs between drugs distributed under "bagging," a drug delivery model that requires patients to obtain physician-administered medications via pharmacies, and traditional buy-and-bill practice.

Impact of state telehealth policies on telehealth use among patients with newly diagnosed cancer.

BACKGROUND: Telehealth restrictions were relaxed under the COVID-19 public health emergency. We examined telehealth use before and during the pandemic among patients with newly diagnosed cancers and the association between state policies and telehealth use. METHODS: The study cohort was constructed from Optum's deidentified Clinformatics Data Mart and included patients with lymphoma, female breast cancer, colorectal cancer, prostate cancer, and lung cancer diagnosed between March 1, 2019, and March 31, 2021. We performed an interrupted time series analysis to examine the trend of cancer-related telehealth use within 1 month of diagnosis relative to the timing of the COVID-19 public health emergency and multivariable logistic regressions to examine factors-specifically, state parity laws and regulations on cross-state practice-associated with telehealth. RESULTS: Of 110 461 patients, the rate of telehealth use peaked at 33.4% in April 2020, then decreased to 12% to 15% between September 2020 and March 2021. Among the 53 982 patients diagnosed since March 2020, telehealth use was statistically significantly lower for privately insured patients residing in states with coverage-only parity or no or unspecified parity than those in states with coverage and payment parity (adjusted rate = 20.2%, 19.1%, and 23.3%, respectively). The adjusted rate was lower for patients in states with cross-state telehealth policy limitations than for those in states without restrictions (14.9% vs 17.8%). CONCLUSIONS: Telehealth use by patients diagnosed with cancer during the pandemic was higher among those living in states with more generous parity and less restrictive rules for cross-state practice. Policy makers contemplating whether to permanently relax certain telehealth policies must consider the impact on vulnerable patient populations who can benefit from telehealth.

Financial toxicity in cancer patients and subsequent risk of repeat acute care utilization.

Background: Acute care (AC) visits by cancer patients are costly sources of healthcare resources and can exert a financial burden of oncology care both for individuals with cancer and healthcare systems. We sought to identify whether cancer patients who reported more severe initial financial toxicity (FT) burdens shouldered excess risks for acute care utilization. Methods: In 225 adult patients who participated in the Economic Strain and Resilience in Cancer (ENRICh) survey study of individuals receiving ambulatory cancer care between March and September 2019, we measured the baseline FT (a multidimensional score of 0-10 indicating the least to most severe global, material, and coping FT burdens). All AC visits, including emergency department (ED) and unplanned hospital admissions, within 1-year follow-up were identified. The association between the severity of FT and the total number of AC visits was tested using Poisson regression models. Results: A total of 18.6% (n = 42) of patients had any AC visit, comprising 64.3% hospital admissions and 35.7% ED visits. Global FT burden was associated with the risk of repeat AC visits within 1-year follow-up (RR = 1.17, 95% CI 1.07-1.29, P < 0.001 for every unit increase), even after adjusting for sociodemographic and disease covariates. When examining subdimensions of FT, the burden of depleted FT coping resources (coping FT) was strongly associated with the risk of repeat AC visits (RR = 1.27, 95% CI 1.15-1.40, P < 0.001) while material FT burden showed a trend toward association (RR = 1.07, 95% CI 0.99-1.15, P = 0.07). Conclusion: In this prospective study of acute oncology care utilization outcomes among adult cancer patients, FT was a predictor of a higher burden of acute care visits. Patients with severely depleted material and also practical and social coping resources were at particular risk for repeated visits. Future studies are needed to identify whether early FT screening and intervention efforts may help to mitigate urgent acute care utilization burdens.

Impact of functional disability on health-care use and medical costs among cancer survivors.

BACKGROUND: Cancer survivors with a disability are among the most vulnerable in health status and financial hardship, but no prior research has systematically examined how disability modifies health-care use and costs. This study examined the association between functional disability among cancer survivors and their health-care utilization and medical costs. METHODS: We generated nationally representative estimates using the 2015-2019 Medical Expenditure Panel Survey. Outcomes included use of 6 service types (inpatient, outpatient, office-based physician, office-based nonphysician, emergency department, and prescription) and medical costs of aggregate services and by each of 6 service types. The primary independent variable was a categorical variable for the total number of functional disabilities. We employed multivariable generalized linear models and 2-part models, adjusting for sociodemographics and health conditions and accounting for survey design. RESULTS: Among cancer survivors (n = 9359; weighted n = 21 046 285), 38.8% reported at least 1 disability. Compared with individuals without a disability, cancer survivors with 4 or more disabilities experienced longer hospital stays (adjusted average marginal effect = 1.14 days, 95% confidence interval [CI] = 0.55 to 1.73), more visits to an office-based physician (average marginal effect = 1.43 visits, 95% CI = 0.51 to 2.35), and a greater number of prescriptions (average marginal effect = 12.1 prescriptions, 95% CI = 9.27 to 15.0). Their total (average marginal effect = $9537, 95% CI = $5713 to $13 361) and out-of-pocket (average marginal effect = $639, 95% CI = $79 to $1199) medical costs for aggregate services were statistically significantly higher. By type, disability in independent living was most strongly associated with greater costs for aggregate services. CONCLUSIONS: Cancer survivors with a disability experienced greater health-care use and higher costs. Cancer survivorship planning for health care and financial stability should consider the patients' disability profile.

A flexible quasi-likelihood model for microbiome abundance count data.

In this article, we present a flexible model for microbiome count data. We consider a quasi-likelihood framework, in which we do not make any assumptions on the distribution of the microbiome count except that its variance is an unknown but smooth function of the mean. By comparing our model to the negative binomial generalized linear model (GLM) and Poisson GLM in simulation studies, we show that our flexible quasi-likelihood method yields valid inferential results. Using a real microbiome study, we demonstrate the utility of our method by examining the relationship between adenomas and microbiota. We also provide an R package "fql" for the application of our method.

Outcomes after thymectomy in non-thymomatous myasthenia gravis.

Background: Guidelines by the myasthenia gravis (MG) Foundation of America suggest patients aged 18 to 50 years with non-thymomatous myasthenia gravis (NTMG) benefit from thymectomy. Our objective was to investigate utilization of thymectomy in NTMG patients outside the confines of a clinical trial. Methods: From the Optum de-identified Clinformatics Data Mart Claims Database (2007 to 2021), we identified patients diagnosed with MG between 18-50 years old. We then selected patients who received a thymectomy within 12 months of MG diagnosis. Outcomes included use of steroids, non-steroidal immunosuppressive agents (NSIS), and rescue therapy (plasmapheresis or intravenous immunoglobulin), as well as NTMG-related emergency department (ED) visits and hospital admissions. These outcomes were compared in the 6-months before and after thymectomy. Results: A total of 1,298 patients met our inclusion criteria, of whom 45 (3.47%) received a thymectomy, performed via minimally invasive surgery in 53.3% of cases (n=24). In comparing the pre- to post-operative period, we noted that steroid use increased (53.33% to 66.67%, P=0.034), NSIS use remained stable, and use of rescue therapy decreased (44.44% to 24.44%, P=0.007). Costs associated with steroid and NSIS use remained stable. However, the mean costs of rescue therapy decreased (from $13,243.98 to $8,486.26, P=0.035). Hospital admissions and ED visits related to NTMG remained stable. There were 2 readmissions within 90 days (4.44%) associated with thymectomy. Conclusions: Patients with NTMG undergoing thymectomy experienced less need for rescue therapy following resection, albeit with increased rates of steroid prescriptions. Thymectomy is infrequently performed in this patient population despite acceptable postsurgical outcomes.