Medicare Data Research Articles

Routine 2-Week Postoperative Radiographs After Geriatric Hip Fracture Fixation: Low Utility and High Cost

Background: Geriatric hip fractures are associated with a large financial burden on both patients and payors, yet minimal data exist regarding postoperative cost optimization and guidelines for delivering high-value care. We assessed the utility and cost of routine radiographs at the first postoperative visit (FPOV) after fixation of geriatric hip fractures. Methods: We retrospectively evaluated patients with isolated geriatric hip fractures treated with internal fixation between January 2018 and September 2020. Medical records were reviewed to assess whether radiographs at the FPOV changed management. Direct costs of radiographs at the FPOV were estimated using Medicare Fee Schedule data. Indirect costs were estimated by assessing transportation costs. National costs were estimated by extrapolating institutional and Medicare data to the estimated 300,000 to 500,000 annual hip fractures in the United States. Results: Two hundred forty-one patients were included. A majority had intertrochanteric fractures (80%), were injured because of a ground-level fall (94%), and received long intramedullary nails (73%). One patient (1/241, 0.41%) had their postoperative management changed by FPOV radiographs, and that patient had an acute reinjury before their FPOV. Patients discharged home (50/241, 21%) traveled mean 51.3 miles each way, and those discharged to another facility (191/241, 79%) traveled mean 24.1 miles each way. The national estimated direct cost of routine radiographs at the FPOV totaled $10.9 to $18.2 m annually. The national indirect costs are estimated to be $1.2 to $1.9 m annually for patients discharged home and $63.4 to $105.7 m annually for patients discharged to a facility. Conclusions: Routine radiographs at the FPOV after internal fixation of geriatric hip fractures may not change management and should only be obtained when specifically indicated. Elimination of routine radiographs and conduction of the FPOV virtually by telemedicine could result in national cost savings of estimated $75.5 to $125.8 m annually without compromising quality of care.

Performance of health care service area definitions for capturing variation in inpatient care and social determinants of health.

To quantify the degree to which health care service area (HCSA) definitions captured hospitalizations and heterogeneity in social determinants of health (SDOH). Geospatial data from the Centers for Medicare and Medicaid Services, the Census Bureau, and the Dartmouth Institute. Drive-time isochrones from MapBox. Area Deprivation Index (ADI) data. 2017 inpatient discharge data from Arizona, Florida, Iowa, Maryland, Nebraska, New Jersey, New York, and Wisconsin, State Emergency Department Databases and State Inpatient Databases, Healthcare Cost and Utilization Project, Agency for Healthcare Research and Quality; and Fee-For-Service Medicare data in 48 states. Cross-sectional, descriptive analysis. The capture rate was the percentage of inpatient discharges occurring in the same HCSA as the hospital. We compared capture rates for each HCSA definition for different populations and by hospital type. We measured SDOH heterogeneity using the coefficient of variation of the ADI among ZIP codes within each HCSA. HCSA definitions captured a wide range of inpatient discharges, ranging from 20% to 50% for Public Use Microdata Areas (PUMAs) to 93%-97% for Metropolitan Statistical Areas (MSAs). Three-quarters of inpatient discharges were from facilities within the same county as the patient's residential ZIP code, while nearly two-thirds were within the same Hospital Service Area. From the hospital perspective, 74.7% of inpatient discharges originated from within a 30-min drive and 90.1% within a 60-min drive. Capture rates were the lowest for teaching hospitals. PUMAs and drive-time-based HCSAs encompassed more homogenous populations while MSAs, Commuting Zones, and Hospital Referral Regions captured the most variation. The proportion of hospital discharges captured by each HCSA varied, with MSAs capturing the highest proportion of discharges and PUMAs capturing the lowest. Additionally, researchers face a trade-off between capture rate and population homogeneity when deciding which HCSA to use.

Racial and Ethnic Disparities in Initiation of Direct Oral Anticoagulants Among Medicare Beneficiaries

The influence of race and ethnicity on initiation of direct oral anticoagulants (DOACs) is relatively understudied in Medicare data. To investigate disparities in the initiation of DOACs compared with warfarin by race, ethnicity, and social vulnerability. This retrospective cohort study used a 50% sample of Medicare fee-for-service data from January 1, 2010, to December 31, 2019 (mean patient enrollment duration, 7.7 years). Analysis took place between January 2023 and February 2024. A cohort of older adults (aged ≥65 years) with atrial fibrillation who newly initiated warfarin or DOACs (dabigatran, rivaroxaban, apixaban, and edoxaban) was identified. Patients were classified as non-Hispanic White, non-Hispanic Black, and Hispanic. The likelihood of starting use of DOACs compared with warfarin was modeled, adjusting for race, ethnicity, age, sex, county-level social vulnerability, and other clinical factors. Among 950 698 anticoagulation initiations, consisting of 680 974 DOAC users and 269 724 warfarin users (mean [SD] age, 78.5 [7.6] years; 52.6% female), 5.2% were Black, 4.3% were Hispanic, and 86.7% were White. During the 10-year study period, DOAC use increased for all demographic groups. After adjustment, compared with White patients, Black patients were 23% less likely (adjusted odds ratio [AOR, 0.77; 95% CI, 0.75-0.79) and Hispanic patients were 13% less likely (AOR, 0.87; 95% CI, 0.85-0.89) to initiate DOAC use. Disparities in DOAC initiation were greatest among Black patients in the earlier years but attenuated during the study period. For instance, in 2010, the OR of Black patients initiating DOACs was 0.54 (95% CI, 0.50-0.57), attenuating linearly over time to 0.69 by 2013 (95% CI, 0.65-0.74) and 0.83 (95% CI, 0.78-0.89) by 2017. By 2019, these differences became nonsignificant (OR, 1.08; 95% CI, 0.99-1.18). In this cohort study of Medicare patients with atrial fibrillation, Black and Hispanic patients were less likely to initiate DOACs for atrial fibrillation, although these differences diminished over time. Identifying the factors behind these early disparities is crucial for ensuring equitable access to novel therapies as they emerge for Black and Hispanic populations.

Retrospective study investigating naloxone prescribing and cost in US Medicaid and Medicare patients

BackgroundOpioid overdoses in the USA have increased to unprecedented levels. Administration of the opioid antagonist naloxone can prevent overdoses.ObjectiveThis study was conducted to reveal the pharmacoepidemiologic patterns in naloxone prescribing...

Impact of the Comprehensive Care for Joint Replacement bundled payment model on postoperative utilization of home health and outpatient physical therapy services

ObjectiveTo study the impact of the Comprehensive Care for Joint Replacement (CJR) bundled payment program on postoperative home health and outpatient physical therapy (PT) for total hip or knee arthroplasty (THA/TKA). DesignRetrospective cohort with national Medicare data (5% claims) using a difference-in-differences analysis comparing January 2013-September 2015 (before) versus October 2016-September 2019 (after). SettingAdministrative claims from hospitals in 34 metropolitan statistical areas with mandatory CJR participation as of 2018 and 42 control metropolitan statistical areas. ParticipantsEpisodes in fee-for-service Medicare beneficiaries (5% claims) undergoing elective THA (n=6,327) or TKA (n=10,764) with community discharge. InterventionsImplementation of CJR bundled payment program. Main Outcome Measure(s)Home health and outpatient PT, including any use and number of visits. ResultsProgram implementation was associated with an increased percentage of THA episodes using home health PT (+8.0 percentage-point change, 95% CI +3.5 to +12.6, P=0.001) but a decreased per-episode number of home health PT visits for THA (-1.1, 95% CI -1.6 to -0.6, P<0.001) and TKA (-1.1, 95% CI -1.4 to -0.07, P<0.001). The program was also associated with an increased per-episode number of outpatient PT visits for TKA in the primary but not sensitivity analyses (+0.8, 95% CI +0.1 to +1.4, P=0.02). ConclusionsFindings of increased home health PT may reflect an intentional shift in care from the inpatient post-acute setting to the community to decrease costs. Alternatively, the limited impact of CJR, particularly on outpatient PT, could reflect challenges with care coordination in a retrospective bundle spanning multiple care settings.

Real-World Use of Hypofractionated Radiotherapy for Primary CNS Tumors in the Elderly, and Implications on Medicare Spending.

For elderly patients with high-grade gliomas, 3-week hypofractionated radiotherapy (HFRT) is noninferior to standard long-course radiotherapy (LCRT). We analyzed real-world utilization of HFRT with and without systemic therapy in Medicare beneficiaries treated with RT for primary central nervous system (CNS) tumors using Centers for Medicare & Medicaid Services data. Radiation modality, year, age (65-74, 75-84, or ≥85 years), and site of care (freestanding vs hospital-affiliated) were evaluated. Utilization of HFRT (11-20 fractions) versus LCRT (21-30 or 31-40 fractions) and systemic therapy was evaluated by multivariable logistic regression. Medicare spending over the 90-day episode after RT planning initiation was analyzed using multivariable linear regression. From 2015 to 2019, a total of 10,702 RT courses (ie, episodes) were included (28% HFRT; 65% of patients aged 65-74 years). A considerable minority died within 90 days of RT planning initiation (n=1,251; 12%), and 765 (61%) of those received HFRT. HFRT utilization increased (24% in 2015 to 31% in 2019; odds ratio [OR], 1.2 per year; 95% CI, 1.1-1.2) and was associated with older age (≥85 vs 65-74 years; OR, 6.8; 95% CI, 5.5-8.4), death within 90 days of RT planning initiation (OR, 5.0; 95% CI, 4.4-5.8), hospital-affiliated sites (OR, 1.4; 95% CI, 1.3-1.6), conventional external-beam RT (vs intensity-modulated RT; OR, 2.7; 95% CI, 2.3-3.1), and no systemic therapy (OR, 1.2; 95% CI, 1.1-1.3; P<.001 for all). Increasing use of HFRT was concentrated in hospital-affiliated sites (P=.002 for interaction). Most patients (69%) received systemic therapy with no differences by site of care (P=.12). Systemic therapy utilization increased (67% in 2015 to 71% in 2019; OR, 1.1 per year; 95% CI, 1.0-1.1) and was less likely for older patients, patients who died within 90 days of RT planning initiation, those who received conventional external-beam RT, and those who received HFRT. HFRT significantly reduced spending compared with LCRT (adjusted β for LCRT = +$8,649; 95% CI, $8,544-$8,755), whereas spending modestly increased with systemic therapy (adjusted β for systemic therapy = +$270; 95% CI, $176-$365). Although most Medicare beneficiaries received LCRT for primary brain tumors, HFRT utilization increased in hospital-affiliated centers. Despite high-level evidence for elderly patients, discrepancy in HFRT implementation by site of care persists. Further investigation is needed to understand why patients with short survival may still receive LCRT, because this has major quality-of-life and Medicare spending implications.

Estimated Clinician-Patient Ratios in US Orthotic and Prosthetic Care: State-Level Trends and Discrepancies

ABSTRACT Introduction For the past 20 years, speculative studies have forewarned of a clinician shortage in the field of orthotics and prosthetics (O&amp;P). Such predictions should emphasize the importance of monitoring potential patient and clinician populations to identify trends and intranational disparities. However, there have been no recent population-based examinations of these previously predicted shortages. Objectives This study estimated geographical differences and evaluated national and state-level trends in O&amp;P care within the United States. The study used data on certified O&amp;P clinicians, state populations, and rates of lower-limb amputation secondary to diabetes in Medicare populations. Study Design The original research article is a retrospective data analysis. Methods Clinician data from the American Board for Certification in Prosthetics Orthotics and Pedorthics, population data from the US Census Bureau, and Medicare data from the Centers for Disease Control and Prevention and the Center for Medicare and Medicaid Services were uploaded into ArcGIS mapping software and geographically weighted for examination across spatial and temporal parameters. Results The data show national and state-level trends and disparities. The findings reveal large differences in care environments between states. Conclusions Speculation on the ability for current supply to meet perceived demand is complicated, but these data update and elaborate upon previous estimations for predicted clinician scarcity in the near future. Further analysis of state-level distance-to-care discrepancies and an examination of which states would benefit most from expansion of O&amp;P services will be necessary. Clinical Relevance Statement This research provides a rudimentary foundation for continued investigation into geographical trends and discrepancies in O&amp;P supply and demand. The successful understanding of these metrics could inform policy and education initiatives, optimize clinical intervention for regional needs, and foster professional expansion into undertreated patient populations.

Association between trajectories of adherence to endocrine therapy and risk of treated breast cancer recurrence among US nonmetastatic breast cancer survivors.

Endocrine therapy is the mainstay treatment for breast cancer (BC) to reduce BC recurrence risk. During the first year of endocrine therapy use, nearly 30% of BC survivors are nonadherent, which may increase BC recurrence risk. This study is to examine the association between endocrine therapy adherence trajectories and BC recurrence risk in nonmetastatic BC survivors. This retrospective cohort study included Medicare beneficiaries in the United States (US) with incident nonmetastatic BC followed by endocrine therapy initiation in 2010-2019 US Surveillance, Epidemiology, and End Results linked Medicare data. We calculated monthly fill-based proportion of days covered in the first year of endocrine therapy. We applied group-based trajectory models to identify distinct endocrine therapy adherence patterns. After the end of the first-year endocrine therapy trajectory measurement period, we estimated the risk of time to first treated BC recurrence within 4 years using Cox proportional hazards models. We identified 5 trajectories of adherence to endocrine therapy in BC Stages 0-I subgroup (n = 28,042) and in Stages II-III subgroup (n = 7781). A trajectory of discontinuation before 6 months accounted for 7.0% in Stages 0-I and 5.8% in Stages II-III subgroups, and this trajectory was associated with an increased treated BC recurrence risk compared to nearly perfect adherence (Stages 0-I: adjusted hazard [aHR] = 1.84, 95% CI = 1.46-2.33; Stages II-III: aHR = 1.38, 95% CI = 1.07-1.77). Nearly 7% of BC survivors who discontinued before completing 6 months of treatment was associated with an increased treated BC recurrence risk compared to those with nearly perfect adherence among Medicare nonmetastatic BC survivors.

Intersection of Race, Rurality, and Income in Defining Access to Minimally Invasive Lung Surgery

Race is a potent influencer of healthcare access. Geography and income may exert equal or greater influence on patient outcomes. We sought to define the intersection of race, rurality, and income and their influence on access to minimally invasive lung surgery in Medicare beneficiaries. Medicare and Medicaid Services data were used to evaluate patients with lung cancer who underwent right upper lobectomy, via open, robotic-assisted (RATS), or video-assisted thoracic surgery (VATS) between 2018 and 2020. International Classification of Diseases 10th edition was used to define diagnoses and procedures. We excluded sub-lobar, segmental, wedge, bronchoplastic, or reoperative patients with non-malignant or metastatic disease or a history of neoadjuvant chemotherapy. Risk adjustment was performed using inverse probability of treatment weighting (IPTW) propensity scores with generalized linear models and Cox Proportional Hazards models. The cohort comprised 13,404 patients, 4,291 (32.1%) open, 4,317 (32.2%) RATS, and 4,796 (35.8%) VATS. Black/Urban patients had significantly higher RATS and VATS rates (p<0.001), higher long-term survival (p=0.007), fewer open resections (p<0.001), and lower overall mortality (p=0.007). Low-income Black/Urban patients had higher RATS (p=0.002), VATS (p<0.001), higher long-term survival (p=0.005), fewer open resections (p<0.001), and lower overall mortality compared to rural white patients. (p=0.005). Rural white populations living close to the federal poverty line may suffer a burden of disparity traditionally observed among poor Black people. This suggests a need for health policies that extend services to impoverished, rural areas to mitigate social determinants of health.

Medicaid Eligibility Loss Among Dual-Eligible Beneficiaries Before and During COVID-19 Public Health Emergency

Medicaid coverage loss can substantially compromise access to and affordability of health care for dual-eligible beneficiaries. The extent to which this population lost Medicaid coverage before and during the COVID-19 public health emergency (PHE) and the characteristics of beneficiaries more at risk for coverage loss are currently not well known. To assess the loss of Medicaid coverage among dual-eligible beneficiaries before and during the first year of the PHE, and to examine beneficiary-level and plan-level factors associated with heightened likelihood of losing Medicaid. This repeated cross-sectional study used national Medicare data to estimate annual rates of Medicaid loss among dual-eligible beneficiaries before (2015 to 2019) and during the PHE (2020). Individuals who were dual eligible for Medicare and Medicaid at the beginning of a given year and who continuously received low-income subsidies for Medicare Part D prescription drug coverage were included in the sample. Multivariable regression models were used to examine beneficiary-level and plan-level factors associated with Medicaid loss. Data analyses were conducted between March 2023 and October 2023. Onset of PHE. Loss of Medicaid for at least 1 month within a year. Sample included 56 172 736 dual-eligible beneficiary-years between 2015 and 2020. In 2020, most dual-eligible beneficiaries were aged over 65 years (5 984 420 [61.1%]), female (5 868 866 [59.9%]), non-Hispanic White (4 928 035 [50.3%]), full-benefit eligible (6 837 815 [69.8%]), and enrolled in traditional Medicare (5 343 537 [54.6%]). The adjusted proportion of dual-eligible beneficiaries losing Medicaid for at least 1 month increased from 6.6% in 2015 to 7.3% in 2019 and then dropped to 2.3% in 2020. Between 2015 and 2019, dual-eligible beneficiaries who were older (ages 55-64 years: -1.4%; 95% CI, -1.8% to -1.0%; ages 65-74 years: -2.0%; 95% CI, -2.5% to -1.5%; ages 75 and older: -4.5%; 95% CI, -5.0% to -4.0%), disabled (-0.8%; 95% CI, -1.1% to -0.6%), and in integrated care programs were less likely to lose Medicaid. In 2020, the disparities within each of these demographic groups narrowed significantly. Notably, while Black (0.6%; 95% CI, 0.2% to 0.9%) and Hispanic (0.7%; 95% CI, 0.3% to 1.2%) dual-eligible beneficiaries were more likely to lose Medicaid than their non-Hispanic White counterparts between 2015 and 2019, such gap was eliminated for Black beneficiaries and narrowed for Hispanic beneficiaries in 2020. During the PHE, Medicaid coverage loss declined significantly among dual-eligible beneficiaries, and disparities were mitigated across subgroups. As the PHE unwinds, it is crucial for policymakers to implement strategies to minimize Medicaid coverage disruptions and racial and ethnic disparities, especially given that loss of Medicaid was slightly increasing over time before the PHE.

National Institutes of Health Stroke Scale Reporting in Medicare Claims Data: Reporting in the First 3 Years.

Since 2016, hospitals have been able to document International Classification of Diseases, Tenth Revision, Clinical Modification (ICD-10-CM) codes for the National Institutes of Health Stroke Scale (NIHSS). As of 2023, the Centers for Medicare & Medicaid Services uses NIHSS as a risk adjustment variable. We assessed associations between patient- and hospital-level variables and contemporary NIHSS reporting. We performed a retrospective cross-sectional analysis of 2019 acute ischemic stroke admissions using deidentified, national 100% inpatient Medicare Fee-For-Service data sets. We identified index acute ischemic stroke admissions using the ICD-10-CM code I63.x and abstracted demographic information, medical comorbidities, hospital characteristics, and NIHSS. We linked Medicare and Mount Sinai Health System (New York, NY) registry data from 2016 to 2019. We calculated NIHSS documentation at the patient and hospital levels, predictors of documentation, change over time, and concordance with local data. There were 231 383 index acute ischemic stroke admissions in 2019. NIHSS was documented in 44.4% of admissions and by 66.5% of hospitals. Hospitals that documented ≥1 NIHSS were more commonly teaching hospitals (39.0% versus 5.5%; standardized mean difference score, 0.88), stroke certified (37.2% versus 8.0%; standardized mean difference score, 0.75), higher volume (mean, 80.8 [SD, 92.6] versus 6.33 [SD, 14.1]; standardized mean difference score, 1.12), and had intensive care unit availability (84.9% versus 23.2%; standardized mean difference score, 1.57). Adjusted odds of documentation were lower for patients with inpatient mortality (odds ratio, 0.64 [95% CI, 0.61-0.68]; P<0.0001), in nonmetropolitan areas (odds ratio, 0.49 [95% CI, 0.40-0.61]; P<0.0001), and male sex (odds ratio, 0.95 [95% CI, 0.93-0.97]; P<0.0001). NIHSS was documented for 52.9% of Medicare cases versus 93.1% of registry cases, and 74.7% of Medicare NIHSS scores equaled registry admission NIHSS. Missing ICD-10-CM NIHSS data remain widespread 3 years after the introduction of the ICD-10-CM NIHSS code, and there are systematic differences in reporting at the patient and hospital levels. These findings support continued assessment of NIHSS reporting and caution in its application to risk adjustment models.

Merit-Based Incentive Payment System: How Are Plastic Surgeons Performing?

Merit-based incentive payment system (MIPS) is a payment model implemented to promote high-value care through performance-based adjustments of Medicare reimbursements. Higher scores indicate superior performance in healthcare quality, efficiency, and interoperability, which can result in financial advantages. Given the paucity of literature, we aimed to characterize plastic surgery performance in MIPS. The Centers for Medicare and Medicaid Services (CMS) online data repository was queried for data on MIPS performance of plastic surgeons from 2019-2021. Descriptive analyses and multivariable logistic regression were conducted to identify predictors of receiving bonus payment for exceptional performance. Approximately 1400 surgeons were sampled in each year. The median number of Medicare beneficiaries and percent of dually eligible beneficiaries-eligible for Medicare and Medicaid-were higher in 2019 (p<0.001). Beneficiary median HCC risk score, which measures expected healthcare costs and needs based on health status, was lower in 2021 (p<0.001). The most common reporting schema was reporting as a group. Total MIPS score increased from 2019 to 2020 to 2021 (90.2 vs 96.4 vs 98.3, p<0.001), but quality score progressively decreased (98.8 vs 95.5 vs 89.90, p<0.001). Fewer physicians received positive adjustment and bonus payments in 2020 and 2021. Predictors of receiving bonus payments were reporting as an alternative payment model, practice size >24, and having 10-49% of dually eligible beneficiaries (p<0.05). Understanding performance of plastic surgeons in MIPS can guide future policy direction and ensure that high-quality care translates into improved patient outcomes across all fields and levels of social vulnerability.

Restrictiveness of Medicare Advantage provider networks across physician specialties.

The objective was to measure specialty provider networks in Medicare Advantage (MA) and examine associations with market factors. We relied on traditional Medicare (TM) and MA prescription drug event data from 2011 to 2017 for all Medicare beneficiaries in the United States as well as data from the Area Health Resources File. Relying on a recently developed and validated prediction model, we calculated the provider network restrictiveness of MA contracts for nine high-prescribing specialties. We characterized network restrictiveness through an observed-to-expected ratio, calculated as the number of unique providers seen by MA beneficiaries divided by the number expected based on the prediction model. We assessed the relationship between network restrictiveness and market factors across specialties with multivariable linear regression. Prescription drug event data for a 20% random sample of beneficiaries enrolled in prescription drug coverage from 2011 to 2017. Provider networks in MA varied in restrictiveness. OB-Gynecology was the most restrictive with enrollees seeing 34.5% (95% CI: 34.3%-34.7%) as many providers as they would absent network restrictions; cardiology was the least restrictive with enrollees seeing 58.6% (95% CI: 58.4%-58.8%) as many providers as they otherwise would. Factors associated with less restrictive networks included the county-level TM average hierarchical condition category score (0.06; 95% CI: 0.04-0.07), the county-level number of doctors per 1000 population (0.04; 95% CI: 0.02-0.05), the natural log of local median household income (0.03; 95% CI: 0.007-0.05), and the parent company's market share in the county (0.16; 95% CI: 0.13-0.18). Rurality was a major predictor of more restrictive networks (-0.28; 95% CI: -0.32 to -0.24). Our findings suggest that rural beneficiaries may face disproportionately reduced access in these networks and that efforts to improve access should vary by specialty.

Cardiovascular events among patients with prostate cancer treated with abiraterone and enzalutamide.

There is growing concern about the adverse metabolic and cardiovascular effects of abiraterone acetate (AA) and enzalutamide (ENZ), two standard hormonal therapies for prostate cancer. We analysed the risk of cardiovascular adverse events among patients treated with AA and ENZ. We used Kythera Medicare data from January 2019 to June 2023 to identify patients with at least one pharmacy claim for AA or ENZ. The index date was the first prescription claim date. Patients were required to have 1 year of data pre- and post-index date. New users excluded those with prior AA or ENZ claims and pre-existing cardiovascular comorbidities. Demographic and clinical variables, including age, socioeconomic status (SES), comorbidity score, prostate-specific comorbidities, and healthcare costs, were analysed . Propensity score matching was employed for risk adjustment. Of the 8,929 and 8,624 patients in the AA and ENZ cohorts, respectively, 7,647 were matched after adjusting for age, sociodemographic, and clinical factors. Between the matched cohorts (15.54% vs. 14.83%, p < 0.05), there were no statistically significant differences in any cardiovascular event after adjusting for these factors. The most common cardiovascular event in both cohorts was heart failure (5.20% vs. 4.49%), followed by atrial fibrillation (4.42% vs. 3.60%) and hypotension (2.93% vs. 2.48%). This study provides real-world evidence of the cardiovascular risk of AA and ENZ that may not appear in clinical trial settings. Adjusting for age, baseline comorbidities, and SES, the likelihood of a cardiovascular event did not differ between treatment groups.

Validation of a Rule-Based ICD-10-CM Algorithm to Detect Fall Injuries in Medicare Data.

Diagnosis-code-based algorithms to identify fall injuries in Medicare data are useful for ascertaining outcomes in interventional and observational studies. However, these algorithms have not been validated against a fully external reference standard, in ICD-10-CM, or in Medicare Advantage (MA) data. We linked self-reported fall injuries leading to medical attention (FIMA) from the Strategies to Reduce Injuries and Develop Confidence in Elders (STRIDE) trial (reference standard) to Medicare fee-for-service (FFS) and MA data from 2015-2019. We measured the area under the receiver operating characteristic curve (AUC) based on sensitivity and specificity of a diagnosis-code-based algorithm against the reference standard for presence or absence of ≥1 FIMA within a specified window of dates, varying the window size to obtain points on the curve. We stratified results by source (FFS versus MA), trial arm (intervention versus control), and STRIDE's ten participating healthcare systems. Both reference standard data and Medicare data were available for 4941 (of 5451) participants. The reference standard and algorithm identified 2054 and 2067 FIMA, respectively. The algorithm had 45% sensitivity (95% confidence interval [CI], 43%-47%) and 99% specificity (95% CI, 99%-99%) to identify reference standard FIMA within the same calendar month. The AUC was 0.79 (95% CI, 0.78-0.81) and was similar by FFS or MA data source or trial arm, but showed variation among STRIDE healthcare systems (AUC range by healthcare system, 0.71 to 0.84). An ICD-10-CM algorithm to identify fall injuries demonstrated acceptable performance against an external reference standard, in both MA and FFS data.

Roles of Hospital Type and Community Setting in Rate of Screening for Metabolic Disorders Among Psychiatric Patients.

Globally, rates of metabolic disorders continue to climb, leading to significant disease morbidity and mortality. Individuals with mental illness are particularly prone to obesity, and some medications, such as antipsychotics, may increase the risk for metabolic disorders. The American Psychiatric Association and the American Diabetes Association recommend that patients taking antipsychotic medications receive regular screening for metabolic disorders. This study examined hospital and community factors associated with screening these patients for such disorders. The authors combined Centers for Medicare and Medicaid Services (CMS) hospital-level data on screening for metabolic disorders among patients with an antipsychotic prescription with community data, including urbanization classification, social vulnerability, and metabolic disease presence and risk factors. Data were merged at the county level and evaluated with a nonparametric multivariate regression model. The CMS data set included 1,497 U.S. hospitals with data on screening for metabolic disorders among patients with an antipsychotic prescription. Screening rates varied by type of facility; acute care and critical access hospitals outperformed freestanding psychiatric facilities (p<0.001). No other variables examined in the multivariate model were associated with screening for metabolic disorders. Despite common resource limitations, screening for metabolic disorders may be driven more by logistics and less by time, finances, or a community's primary care network. Identifying the specific logistical challenges of freestanding psychiatric facilities could aid in the development of targeted interventions to improve the rates of screening for and treatment of not only metabolic disorders but also other common comorbid conditions.

Claims-Based Frailty Index and Its Relationship with Commonly Used Clinical Frailty Measures.

The relationship of claims-based frailty index (CFI), a validated measure to identify frail individuals using Medicare data, and frailty measures used in clinical practice has not yet been fully explored. We identified community-dwelling participants of the 2015 National Health and Aging Trends Study (NHATS) whose CFI scores could be calculated using linked Medicare claims. We calculated 9 commonly used clinical frailty measures from NHATS in-person examination: Study of Osteoporotic Fracture Index (SOF), FRAIL Scale, Frailty Phenotype, Clinical Frailty Scale (CFS), Vulnerable Elder Survey-13 (VES-13), Tilburg Frailty Indicator (TFI), Groningen Frailty Indicator (GFI), Edmonton Frail Scale (EFS), and 40-item Frailty Index (FI). Using equipercentile method, CFI scores were linked to clinical frailty measures. Then, C-statistics and test characteristics of CFI to identify frailty defined by each clinical frailty measure were calculated. Of the 3,963 older adults, 44.5% were ≥75 years, 59.4% were female, and 82.3% were non-Hispanic White. A CFI of 0.25 was equipercentile to the following clinical frailty measures scores: SOF 1.4, FRAIL 1.8, Phenotype 1.8, CFS 5.4, VES-13 5.7, TFI 4.6, GFI 5.0, EFS 6.0, and FI 0.26. The C-statistics of using CFI to identify frailty defined by each clinical measure were above ≥0.70 except for CFS and VES-13. The optimal CFI cutpoints to identify frailty per clinical frailty measure ranged from 0.212 to 0.242, with sensitivity and specificity of 0.37-0.83 and 0.66-0.84, respectively. Understanding the relationship of CFI and commonly used clinical frailty measures can enhance the interpretability and potential utility of CFI.

Fatty Acid Intake and Polyunsaturated Fatty Acid Biomarkers and Risk of Total Knee or Hip Arthroplasty Among Older Women in the Women's Health Initiative.

The objective was to determine whether baseline fatty acid intake and erythrocyte omega-3 and omega-6 polyunsaturated fatty acids (PUFAs) can predict risk of total hip arthroplasty (THA) and total knee arthroplasty (TKA) in older women. This was a prospective analysis of 34,990 women in the Women's Health Initiative. Dietary fatty acids were estimated from food frequency questionnaires. Imputed erythrocyte PUFAs were available in a subcohort of 3,428 women. Arthroplasty (THA and TKA), used as a surrogate of severe osteoarthritis, was identified via linked Medicare data. Cox proportional hazards models were constructed to estimate risk of arthroplasty. Risk of THA was associated with higher intake of arachidonic acid, (multivariable hazard ratio [HR] quartile 4 [Q4] vs Q1: 1.16; 95% confidence interval [CI] 1.01-1.34; P = 0.03) and higher intake of eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA; HR Q4 vs Q1: 1.20; 95% CI 1.05-1.39; P = 0.003). There was a linear trend (P = 0.04) for patients to have a higher risk of THA with higher erythrocyte EPA and DHA in body mass index-adjusted models; however, there was no significant difference in patients who had THAs by quartiles of erythrocyte EPA and DHA (P = 0.10). Dietary fatty acids and erythrocyte PUFAs were not significantly associated with risk of TKA. Higher baseline intakes of arachidonic acid and EPA and DHA were associated with a modestly higher risk of THA. No association was found between fatty acids and patients who had TKAs. Further research in populations with direct measures of osteoarthritis severity is needed to better understand the importance of PUFAs in modulating osteoarthritis and arthroplasty risk.

Comparing the effects of various β-blockers on cardiovascular mortality in breast cancer patients

BackgroundCardiovascular (CV) disease is a leading cause of death in breast cancer (BC) patients due to the increased age and treatments. While individual β-blockers have been investigated to manage CV complications, various β-blockers have not been compared for their effects on CV death in this population. We aimed to compare CV mortality in older BC patients taking one of the commonly used β-blockers.MethodsThis retrospective cohort study was conducted using the Surveillance, Epidemiology and End Results (SEER) - Medicare data (2010–2015). Patients of age 66 years or older at BC diagnosis receiving metoprolol, atenolol, or carvedilol monotherapy were included. The competing risk regression model was used to determine the risk of CV mortality in the three β-blocker groups. The multivariable model was adjusted for demographic and clinical covariates. The adjusted hazard ratio (HR) and 95% confidence intervals (CI) were reported for the risk of CV mortality.ResultsThe study cohort included 6,540 patients of which 55% were metoprolol users, 30% were atenolol users, and 15% were carvedilol users. Metoprolol was associated with a 37% reduced risk of CV mortality (P = 0.03) compared to carvedilol after adjusting for the covariates (HR = 0.63; 95% CI 0.41–0.96). No significant difference in the risk of CV mortality between atenolol and carvedilol users was observed (HR = 0.74; 95% CI 0.44–1.22).ConclusionsOur findings suggest that metoprolol is associated with a reduced risk of CV mortality in BC patients. Future studies are needed to confirm these findings and understand the mechanism of action.

Abstract 4792: Nationwide patterns of incidence and surveillance of second primary lung cancer among long-term lung cancer survivors using SEER Medicare data

Abstract Background: With advances in screening and therapy, the number of lung cancer (LC) survivors is rapidly increasing, with over half a million as of 2019. Prior studies demonstrated that the incidence of second primary lung cancer (SPLC) among LC survivors is 4-6 times that of initial primary lung cancer (IPLC) in the general population. However, the incidence of SPLC and surveillance strategies using computed tomography (CT) have not been examined in long-term LC survivors with over 5-year survival. We aim to estimate SPLC incidence among long-term survivors and the effectiveness of annual surveillance CT exams. Methods: We used data from SEER-Medicare with a cohort of 1,232,338 LC patients from the SEER cancer registry followed till death or last follow-up, who were also enrolled in Medicare in 1999-2020. The study cohort included 12,948 patients who were long-term survivors (≥ 5-year survival from IPLC) by age 65, received curative therapy for IPLC, and were continuously enrolled in Medicare 1 year prior to 5 years after IPLC diagnosis. The primary outcome was the 10-year cumulative SPLC incidence accounting for competing risk of death in the full study cohort and by receipt of surveillance CTs post-5-year survival, defined using detailed billing and LC-related ICD codes. To qualify as surveillance CTs, two annual CTs 9-18 months apart is required. Cox regression was used as exploratory analysis to examine the association between LC-specific survival (LC as cause of death) and the receipt of two CTs post-5-year survival as a binary variable, adjusting for SPLC diagnosis, age, sex, marital status, race, IPLC stage, income, education, and poverty. Results: Of 12,948 long-term LC survivors, 46% (n=6,015) were male, 90% (n=11,476) had early-stage disease, 77% (n=9,945) had undergone surgery for initial curative treatment, and 3.8% (n = 486) received two surveillance CTs initiated within 18 months post-5-year survival. The 10-year cumulative incidence of SPLC was 5.06% [95% CI: 5.00-5.12%] in the SEER cohort but was substantially higher among long-term LC survivors at 13.6% [13.0-14.2%]. Those who received two annual surveillance CTs after 5-year survival had a significantly higher 10-year SPLC incidence (23.3% [19.4 - 27.2%]) than those who received one or no CT (13.2% [12.6 - 13.8%]). The adjusted hazard ratio of the association between LC-specific survival and receipt of two CTs was 0.67 [0.59-0.80, p &amp;lt; 0.0001]. Conclusions: The high cumulative risk of SPLC among long-term LC survivors warrants tailored surveillance strategies. Our exploratory analysis showed a high SPLC detection rate among those who received two annual surveillance CTs vs. those who did not, with significantly higher LC-specific survival in the former. Future work will include extensive analysis accounting for time-varying exposure of multiple surveillance CTs using rigorous causal inference methods. Citation Format: Chloe C. Su, Eunji Choi, Julie T. Wu, Allison W. Kurian, Michelle C. Odden, Manisha Desai, Leah M. Backhus, Heather A. Wakelee, Ann N. Leung, Joel W. Neal, Summer S. Han. Nationwide patterns of incidence and surveillance of second primary lung cancer among long-term lung cancer survivors using SEER Medicare data [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 4792.