The prescription drug monitoring program in a multifactorial approach to the opioid crisis: PDMP data, Pennsylvania, 2016-2020.

BACKGROUND: Prescription opioids remain an important contributor to the United States opioid crisis and to the development of opioid use disorder for opioid-naïve individuals. Recent legislative actions, such as the implementation of state prescription drug monitoring programs (PDMPs), aim to reduce opioid morbidity and mortality through enhanced tracking and reporting of prescription data. The primary objective of our study was to describe the opioid prescribing trends in the state of Pennsylvania (PA) as recorded by the PA PDMP following legislative changes in reporting guidelines, and discuss the PDMP's role in a multifactorial approach to opioid harm reduction. METHODS: State-level opioid prescription data summaries recorded by the PA PDMP for each calendar quarter from August 2016 through March 2020 were collected from the PA Department of Health. Data for oxycodone, hydrocodone, and morphine were analyzed by quarter for total prescription numbers and refills. Prescription lengths, pill quantities, and average morphine milliequivalents (MMEs) were analyzed by quarter for all 14 opioid prescription variants recorded by the PA PDMP. Linear regression was conducted for each group of variables to identify significant differences in prescribing trends. RESULTS: For total prescriptions dispensed, the number of oxycodone, hydrocodone, and morphine prescriptions decreased by 34.4, 44.6, and 22.3% respectively (p < 0.0001). Refills fluctuated less consistently with general peaks in Q3 of 2017 and Q3 of 2018 (p = 0.2878). The rate of prescribing for all opioid prescription lengths decreased, ranging in frequency from 22 to 30 days (47.5% of prescriptions) to 31+ days of opioids (0.8% of prescriptions) (p < 0.0001). Similarly, decreased prescribing was observed for all prescription amounts, ranging in frequency from 22 to 60 pills (36.6% of prescriptions) to 60-90 pills (14.2% of prescriptions) (p < 0.0001). Overall, the average MME per opioid prescription decreased by 18.9%. CONCLUSIONS: Per the PA PDMP database, opioid prescribing has decreased significantly in PA from 2016 to 2020. The PDMP database is an important tool for tracking opioid prescribing trends in PA, and PDMPs structured similarly in other states may enhance our ability to understand and influence the trajectory of the U.S. opioid crisis. Further research is needed to determine optimal PDMP policies and practices nationwide.

Association of race/ethnicity and socioeconomic status with COVID-19 30-day mortality at a Philadelphia medical center using a retrospective cohort study.

COVID-19 has disproportionately affected low-income communities and people of color. Previous studies demonstrated that race/ethnicity and socioeconomic status (SES) are not independently correlated with COVID-19 mortality. The purpose of our study is to determine the effect of race/ethnicity and SES on COVID-19 30-day mortality in a diverse, Philadelphian population. This is a retrospective cohort study in a single-center tertiary care hospital in Philadelphia, PA. The study includes adult patients hospitalized with polymerase-chain-reaction-confirmed COVID-19 between March 1, 2020 and June 6, 2020. The primary outcome was a composite of COVID-19 death or hospice discharge within 30 days of discharge. The secondary outcome was intensive care unit (ICU) admission. The study included 426 patients: 16.7% died, 3.3% were discharged to hospice, and 20.0% were admitted to the ICU. Using multivariable analysis, race/ethnicity was not associated with the primary nor secondary outcome. In Model 4, age greater than 75 (odds ratio [OR]: 11.01; 95% confidence interval [CI]: 1.96-61.97) and renal disease (OR: 2.78; 95% CI: 1.31-5.90) were associated with higher odds of the composite primary outcome. Living in a "very-low-income area" (OR: 0.29; 95% CI: 0.12-0.71) and body mass index (BMI) 30-35 (OR: 0.24; 95% CI: 0.08-0.69) were associated with lower odds of the primary outcome. When controlling for demographics, SES, and comorbidities, race/ethnicity was not independently associated with the composite primary outcome. Very-low SES, as extrapolated from census-tract-level income data, was associated with lower odds of the composite primary outcome.

Right Ventricular Ejection Fraction and Beta-Blocker Effect in Heart Failure With Reduced Ejection Fraction.

BACKGROUND: A low right ventricular ejection fraction (RVEF) is a marker of poor outcomes in patients with heart failure with reduced ejection fraction (HFrEF). Beta-blockers improve outcomes in HFrEF, but whether this effect is modified by RVEF is unknown. METHODS AND RESULTS: Of the 2798 patients in Beta-Blocker Evaluation of Survival Trial (BEST), 2008 had data on baseline RVEF (mean 35%, median 34%). Patients were categorized into an RVEF of less than 35% (n = 1012) and an RVEF of 35% or greater (n = 996). We estimated hazard ratios (HRs) and 95% confidence intervals (CIs) within each RVEF subgroup and formally tested for interactions between bucindolol and RVEF. The effect of bucindolol on all-cause mortality in 2008 patients with baseline RVEF (HR 0.88, 95% CI 0.75-1.02) is consistent with that in 2798 patients in the main trial (HR 0.90, 95% CI 0.78-1.02). Bucindolol use was associated with a lower risk of all-cause mortality in patients with an RVEF of 35% or greater (HR 0.70, 95% CI 0.55-0.89), but not in those with an RVEF of less than 35% (HR 1.02, 95% CI 0.83-1.24, P for interaction = .022). Similar variations were observed for cardiovascular mortality (P for interaction = .009) and sudden cardiac death (P for interaction = .018), but not for pump failure death (P for interaction = .371) or HF hospitalization (P for interaction = .251). CONCLUSIONS: The effect of bucindolol on mortality in patients with HFrEF was modified by the baseline RVEF. If these hypothesis-generating findings can be replicated using approved beta-blockers in contemporary patients with HFrEF, then RVEF may help to risk stratify patients with HFrEF for optimization of beta-blocker therapy.

Seizure latency and epilepsy localization as predictors of recurrence following epilepsy surgery.

OBJECTIVE: The primary purpose is to determine whether the time between epilepsy surgery and first seizure recurrence can estimate the timing of the next seizure event for temporal and extratemporal epilepsy. A secondary endpoint aimed to compare temporal and extratemporal epilepsy surgery and examine which subgroup has a higher hazard of subsequent seizure recurrence. METHODS: Data used were from a retrospective database at Thomas Jefferson University Hospital. Records were stratified into temporal (n = 943) and extratemporal (n = 125) surgeries. Analyses were done using SAS and utilized Cox proportional hazards models while controlling for demographics and clinical factors. The primary predictor of time between surgery and first recurrence was treated as a nominal variable binned into six segments, whereas secondary endpoints used a categorical predictor of epilepsy location while controlling for seizure latency. RESULTS: Generally, as seizure latency following surgery increased, the time between first seizure and second seizure increased. These results were statistically meaningful in the temporal set (Wald chi-squared = 40.4715, df = 5, p < .0001). Outcomes could also be interpreted based on predictor group; for instance, if Seizure 1 occurred 1-2 months following surgery in the temporal set, the median number of days until the next seizure was 35.5 days (95% confidence interval [CI] = 21-89 days). Secondary analysis showed that temporal lobe epilepsy had a lower hazard of a second seizure than extratemporal lobe epilepsy (89.2% reduction in hazard; 95% CI = .015-.795). SIGNIFICANCE: This analysis provides a framework to use initial seizure latency to predict the median number of days until the next seizure event, while stratifying based on epilepsy location and controlling for multiple variables. It also suggests that the hazard of seizure recurrence in temporal lobe epilepsy is lower than in extratemporal lobe epilepsy.

A predictive model for hepatitis B infection among high-risk adults using a community-based sample in greater Philadelphia.

Liver cancer is the 3rd deadliest cancer worldwide, with 5-year survival rates of only 15%. In the United States, liver cancer incidence and death rates are increasing at a faster rate than any other cancer and are projected to continue to rise through at least 2030. A significant proportion of these liver cancer cases are due to hepatitis B virus (HBV). Community-based screening is a public health practice working to identify individuals who are living with HBV in underserved communities, particularly Asian American, Pacific Islander and African immigrant populations. This data set includes a total of 3019 individuals considered high risk for HBV tested at community-based testing events between 2008 and 2019. Descriptive results revealed HBV infection rate was 7.9% (N = 229), and 59% (N = 1704) had protective antibodies against HBV. To account for missingness in the data, multiple imputation was preformed and followed by logistic regression to create a predictive model. The results support an association between insurance status and HBV infection in the predictive model. Participant region of origin was also significantly related to HBV infection, and participants who immigrated from the Western Pacific and African World Organization designated regions had higher odds of infection compared to participants from the Americas. Results emphasize the need to continue to expand testing in high-risk populations for HBV.

Contrasting cumulative risk and multiple individual risk models of the relationship between Adverse Childhood Experiences (ACEs) and adult health outcomes.

BACKGROUND: A very large body of research documents relationships between self-reported Adverse Childhood Experiences (srACEs) and adult health outcomes. Despite multiple assessment tools that use the same or similar questions, there is a great deal of inconsistency in the operationalization of self-reported childhood adversity for use as a predictor variable. Alternative conceptual models are rarely used and very limited evidence directly contrasts conceptual models to each other. Also, while a cumulative numeric 'ACE Score' is normative, there are differences in the way it is calculated and used in statistical models. We investigated differences in model fit and performance between the cumulative ACE Score and a 'multiple individual risk' (MIR) model that enters individual ACE events together into prediction models. We also investigated differences that arise from the use of different strategies for coding and calculating the ACE Score. METHODS: We merged the 2011-2012 BRFSS data (N = 56,640) and analyzed 3 outcomes. We compared descriptive model fit metrics and used Vuong's test for model selection to arrive at best fit models using the cumulative ACE Score (as both a continuous or categorical variable) and the MIR model, and then statistically compared the best fit models to each other. RESULTS: The multiple individual risk model was a better fit than the categorical ACE Score for the 'lifetime history of depression' outcome. For the outcomes of obesity and cardiac disease, the cumulative risk and multiple individual risks models were of comparable fit, but yield different and complementary inferences. CONCLUSIONS: Additional information-rich inferences about ACE-health relationships can be obtained from including a multiple individual risk modeling strategy. Results suggest that investigators working with large srACEs data sources could empirically derive the number of items, as well as the exposure coding strategy, that are a best fit for the outcome under study. A multiple individual risk model could also be considered in addition to the cumulative risk model, potentially in place of estimation of unadjusted ACE-outcome relationships.

Impact of a Clinical Decision-Support Tool on Venous Thromboembolism Prophylaxis in Acutely Ill Medical Patients.

Background: Adherence to guideline-based venous thromboembolism (VTE) prophylaxis recommendations is often inadequate. Effective improvement strategies are needed. Objective: The purpose of this quality improvement initiative was to increase use of the facility's preferred pharmacologic VTE prophylaxis, reduce unnecessary VTE prophylaxis use, and reduce use of pharmacologic VTE prophylaxis in high bleeding risk patients, in accordance with guideline-based recommendations. Methods: Clinical pharmacists spearheaded the development and implementation of a clinical decision-support tool (CDST) integrated within a Veterans Health Administration electronic health record (EHR). The CDST focused on VTE prophylaxis in acutely ill medical patients and guided prescribers to guideline-based recommendations. Following review and approval, the CDST underwent activation in the EHR. A subsequent intervention occurred, year 2 post-intervention, which embedded this CDST into the EHR admission process and admission menus. A drug message was added in the EHR to alert prescribers that low-molecular-weight heparin was the preferred agent. Measures were evaluated pre-intervention, year 1 post-intervention, and year 2 post-intervention. Results: After intervention, there were statistically significant increases in the proportion of patients receiving the facility's preferred pharmacologic VTE prophylaxis agent, enoxaparin, and a statistically significant decrease in the proportion of unwarranted VTE prophylaxis. The proportion of inappropriate pharmacologic VTE prophylaxis in high bleeding risk patients decreased, but this result did not reach statistical significance. Conclusion: The improvements observed suggest the beneficial role of CDSTs integrated into the EHR to increase adherence to guideline-based VTE prophylaxis recommendations.

Incorrect statistical method in parallel-groups RCT led to unsubstantiated conclusions.

The article by Aiso et al. titled "Compared with the intake of commercial vegetable juice, the intake of fresh fruit and komatsuna (Brassica rapa L. var perviridis) juice mixture reduces serum cholesterol in middle-aged men: a randomized controlled pilot study" does not meet the expected standards of Lipids in Health and Disease. Although the article concludes that there are some significant benefits to their komatsuna juice mixture, these claims are not supported by the statistical analyses used. An incorrect procedure was used to compare the differences in two treatment groups over time, and a large number of outcomes were tested without correction; both issues are known to produce high rates of false positives, making the conclusions of the study unjustified. The study also fails to follow published journal standards regarding clinical trial registration and reporting.

Selecting a separable parametric spatiotemporal covariance structure for longitudinal imaging data.

Longitudinal imaging studies allow great insight into how the structure and function of a subject's internal anatomy changes over time. Unfortunately, the analysis of longitudinal imaging data is complicated by inherent spatial and temporal correlation: the temporal from the repeated measures and the spatial from the outcomes of interest being observed at multiple points in a patient's body. We propose the use of a linear model with a separable parametric spatiotemporal error structure for the analysis of repeated imaging data. The model makes use of spatial (exponential, spherical, and Matérn) and temporal (compound symmetric, autoregressive-1, Toeplitz, and unstructured) parametric correlation functions. A simulation study, inspired by a longitudinal cardiac imaging study on mitral regurgitation patients, compared different information criteria for selecting a particular separable parametric spatiotemporal correlation structure as well as the effects on types I and II error rates for inference on fixed effects when the specified model is incorrect. Information criteria were found to be highly accurate at choosing between separable parametric spatiotemporal correlation structures. Misspecification of the covariance structure was found to have the ability to inflate the type I error or have an overly conservative test size, which corresponded to decreased power. An example with clinical data is given illustrating how the covariance structure procedure can be performed in practice, as well as how covariance structure choice can change inferences about fixed effects.

Survival analysis and regression models.

Time-to-event outcomes are common in medical research as they offer more information than simply whether or not an event occurred. To handle these outcomes, as well as censored observations where the event was not observed during follow-up, survival analysis methods should be used. Kaplan-Meier estimation can be used to create graphs of the observed survival curves, while the log-rank test can be used to compare curves from different groups. If it is desired to test continuous predictors or to test multiple covariates at once, survival regression models such as the Cox model or the accelerated failure time model (AFT) should be used. The choice of model should depend on whether or not the assumption of the model (proportional hazards for the Cox model, a parametric distribution of the event times for the AFT model) is met. The goal of this paper is to review basic concepts of survival analysis. Discussions relating the Cox model and the AFT model will be provided. The use and interpretation of the survival methods model are illustrated using an artificially simulated dataset.

Does Asthma Increase the Odds of Suicidal Thoughts, Plans, and Attempts?

Background Asthma is a chronic inflammatory disease of the airways affecting more than 250 million people worldwide. In the past, a possible relationship between asthma and suicidality has been hypothesized. However, further research is required as this link has not been clearly established. Our objective was to use propensity score matching to answer the following research question: does having asthma increase one's odds of developing suicidality throughout their lifetime and, if so, how large is this increase? Methodology We utilized data from the 2018 National Survey on Drug Use and Health. We analyzed the relationship between currently having asthma and having had suicidal thoughts, suicide plans, and suicide attempts over the past 12 months. Chi-square analyses were performed both before and after completing propensity score matching. Results Before matching, it was found that, compared to individuals without asthma, asthmatic individuals had 31.2% higher odds of having suicidal thoughts (p = 0.010) and 97.4% higher odds of a suicide attempt (p = 0.012). After controlling for confounders by matching, there was no longer a relationship between having asthma and suicidal thoughts (p = 0.707), suicidal plans (p = 0.523), and suicidal attempts (p = 0.260). Conclusions These findings highlight that while asthma may appear to be associated with suicidality, this association does not persist after controlling for confounding factors. Hence, it is recommended that more research be conducted on this topic and that possible confounders be further researched. In particular, there is a need to better understand the role of social determinants and other contributors to health outcomes.

Mechanically ventilated COVID-19 patients admitted to the intensive care unit in the United States with or without respiratory failure secondary to COVID-19 pneumonia: a retrospective comparison of characteristics and outcomes.

BACKGROUND: There is increasing heterogeneity in the clinical phenotype of patients admitted to the intensive care unit (ICU) with coronavirus disease 2019 (COVID-19,) and reasons for mechanical ventilation are not limited to COVID pneumonia. We aimed to compare the characteristics and outcomes of intubated patients admitted to the ICU with the primary diagnosis of acute hypoxemic respiratory failure (AHRF) from COVID-19 pneumonia to those patients admitted for an alternative diagnosis. METHODS: Retrospective cohort study of adults with confirmed SARS-CoV-2 infection admitted to nine ICUs between March 18, 2020, and April 30, 2021, at an urban university institution. We compared characteristics between the two groups using appropriate statistics. We performed logistic regression to identify risk factors for death in the mechanically ventilated COVID-19 population. RESULTS: After exclusions, the final sample consisted of 319 patients with respiratory failure secondary to COVID pneumonia and 150 patients intubated for alternative diagnoses. The former group had higher ICU and hospital mortality rates (57.7% vs. 36.7%, P<0.001 and 58.9% vs. 39.3%, P<0.001, respectively). Patients with AHRF secondary to COVID-19 pneumonia also had longer ICU and hospital lengths-of-stay (12 vs. 6 days, P<0.001 and 20 vs. 13.5 days, P=0.001). After risk-adjustment, these patients had 2.25 times higher odds of death (95% confidence interval, 1.42-3.56; P=0.001). CONCLUSIONS: Mechanically ventilated COVID-19 patients admitted to the ICU with COVID-19-associated respiratory failure are at higher risk of hospital death and have worse ICU utilization outcomes than those whose reason for admission is unrelated to COVID pneumonia.

Design, analysis, and interpretation of treatment response heterogeneity in personalized nutrition and obesity treatment research.

It is increasingly assumed that there is no one-size-fits-all approach to dietary recommendations for the management and treatment of chronic diseases such as obesity. This phenomenon that not all individuals respond uniformly to a given treatment has become an area of research interest given the rise of personalized and precision medicine. To conduct, interpret, and disseminate this research rigorously and with scientific accuracy, however, requires an understanding of treatment response heterogeneity. Here, we define treatment response heterogeneity as it relates to clinical trials, provide statistical guidance for measuring treatment response heterogeneity, and highlight study designs that can quantify treatment response heterogeneity in nutrition and obesity research. Our goal is to educate nutrition and obesity researchers in how to correctly identify and consider treatment response heterogeneity when analyzing data and interpreting results, leading to rigorous and accurate advancements in the field of personalized medicine.

Does Perceived Racism Affect Prostate Cancer Screening Rates and Patient-Provider Shared Discussions Among Black and White Men?

BACKGROUND: While Black men face a significant cancer risk burden in the United States, confronting complex historical and social issues such as racism and discrimination undermines care. This study explored associations between perceived racism, prostate screening rates, and shared medical discussions. METHODS: We performed data analysis of merged Behavioral Risk Factor Surveillance System (BRFSS) survey data. Data were limited to Black and White men. We used propensity score analysis to assess the race-associated effects on outcomes. RESULTS: Black men were less likely than White men to receive discussions of both prostate-specific antigen (PSA) screening advantages χ2(4.54), p < .05 and disadvantages χ2(41.62), p < .001. The effects of perceived racism and its interaction with race were statistically non-significant for all PSA outcomes. CONCLUSION: Compared with their White counterparts, Black men were significantly less likely to be advised of potential PSA screening advantages and harms. This inequity in health care delivery has implications concerning disease prevention and informed decision-making.

Virtual Community Health Workers: Approaches to Patient Outreach During the COVID-19 Pandemic.

BACKGROUND: Prior to the COVID-19 pandemic, community health workers (CHWs) in our health system screened patients in-person for social determinants of health and connected them to community resources. However, when our CHWs were required to work remotely from home due to the pandemic, the best platform to optimize contacting these patients was unknown. This study sought to evaluate the effectiveness of three outgoing phone call approaches (*67, Google Voice®, and Doximity Dialer®) in successfully contacting patients. METHODS: We performed a retrospective analysis comparing reach rates across the three outgoing call approaches. RESULTS: Reach rates were highest when Doximity Dialer was used (64.0%, 95% CI: 58.8-69.0) compared with *67 (40.8%, 95% CI: 30.8-51.6) or Google Voice (53.2%, 95% CI: 48.4-57.8) in this analysis of 1,144 outreach calls. CONCLUSION: Due to higher reach rates, we recommend Doximity Dialer for phone-based outreach to patients. Additional research to improve the efficacy of remote outreach is warranted.

A comparison of timely completion of hypofractionated and traditional adjuvant radiation therapy in early-stage breast cancer: Evidence of impact on reducing racial and socioeconomic disparities.

BACKGROUND: Timely completion of adjuvant radiation after breast conservation therapy is associated with decreased mortality and increased disease-free survival. Few data exist comparing timely completion between hypofractionated radiation and traditional radiation at a national level or across racial and socioeconomic cohorts. METHODS: A retrospective review of the National Cancer Database (2012-2016) on patients undergoing breast conservation therapy for early-stage breast cancer, specifically T1 or T2, N0, M0 patients, was performed. Multivariable logistic regression models were used to compare timely completion of hypofractionated radiation (within 5 weeks of initiation) and traditional radiation (within 7 weeks) across patient, tumor, and facility characteristics. RESULTS: In total, 210,816 patients met criteria, with 59.4% receiving traditional radiation (n = 125,140) and 40.6% receiving hypofractionated radiation (n = 85,676). Overall, 82.8% of patients achieved timely completion of radiation. Among hypofractionated radiation patients, 94.5% of patients achieved timely completion, whereas only 74.8% of traditional radiation patients achieved timely completion (P < .0001). Regarding race/ethnicity, all groups benefited substantially in timely completion of hypofractionated radiation over traditional radiation. However, both treatment cohorts demonstrated that Black (odds ratio (hypofractionated radiation) = 0.842, odds ratio (traditional radiation) = 0.821) and Hispanic (odds ratio (hypofractionated radiation) = 0.917, odds ratio (traditional radiation) = 0.907) patients had lower odds of timely completion compared to White patients (P < .0001). Lower high school graduation rate, median income for patients' ZIP code, and Medicaid were also associated with lower odds of timely completion for both hypofractionated radiation and traditional radiation (both P < .0001). CONCLUSION: Timely completion of radiation therapy in breast conservation therapy is greater for patients receiving hypofractionated radiation than traditional radiation across racial and socioeconomic cohorts. Disparities in timely completion were substantially reduced with hypofractionated radiation utilization. However, there are treatment disparities across racial and socioeconomic cohorts that persist in both treatment groups.

Characteristics of Moyamoya Syndrome in Pediatric Patients With Neurofibromatosis Type 1.

BACKGROUND: Moyamoya syndrome (MMS) is a progressive cerebral arteriopathy with increased incidence in children with neurofibromatosis type 1 (NF1). Despite the potential for significant neurological morbidity including stroke, little is known about the natural history, and no guidelines exist for screening and management of NF1-associated MMS. METHODS: We identified 152 literature cases of children aged ≤18 years with NF1-associated MMS. A meta-analysis was performed evaluating clinical and neuroimaging findings and patient outcomes. Data from 19 patients with NF1-associated MMS from our center treated from January 1995 to July 2020 were abstracted via chart review and similarly analyzed for clinical and neuroimaging features. RESULTS: Meta-analysis of literature cases showed a median age of MMS diagnosis of 6 years (interquartile range 3 to 10.8 years). Optic pathway gliomas were more common in patients with MMS (42%) compared with historical prevalence. Stroke or transient ischemic attack (TIA) was present at diagnosis in 46%. TIA and stroke were more common in patients with bilateral versus unilateral MMS (62% vs 34%, P = 0.001) and in children aged <4 years versus those aged ≥4 years (61% vs 40%, P = 0.02). Compared with the literature cases, our cohort was more frequently asymptomatic (42% vs 25%) and less likely to present with TIA or stroke (32% vs 46%) at diagnosis. CONCLUSIONS: These data suggest there is an aggressive form of MMS in children with NF1 <4 years of age. Therefore, early screening should be considered to facilitate early detection and treatment of cerebral arteriopathy.

Trends in Use of Hypofractionated Whole Breast Radiation in Breast Cancer: An Analysis of the National Cancer Database.

PURPOSE: Use of hypofractionated radiation (HR) as a component of breast-conserving treatment (BCT) in breast cancer is relatively low in the United States despite studies demonstrating its efficacy and guidelines supporting its use from the American Society for Radiation Oncology (ASTRO) in 2011 and 2018. Little is known regarding national trends in uptake and factors associated with uptake of HR in the US since the 2011 ASTRO guidelines. METHODS AND MATERIALS: We performed a retrospective review of the National Cancer Database (2012-2016) on patients undergoing BCT. Logistic regression modeling was used to identify relationships between patient, hospital, and tumor factors with the use of HR or traditional radiation (TR). RESULTS: A total of 259,342 cases of BCT were identified with 60% (n = 155,447) undergoing TR and 40% (n = 103,895) undergoing HR. There was an increase in use among patients meeting 2011 ASTRO criteria from 26.2% in 2012 to 67.0% in 2016. The odds of use of HR increased with year of diagnosis, patient age, higher median income, private insurance, treatment at an academic center, travel distance to treatment >20 miles, smaller tumors, lymph node-negative disease, and without use of chemotherapy (P values <.0001, Table 1). CONCLUSION: Guidelines supporting the use of HR in BCT have been associated with a dramatic increase in use of HR in the US. However, there are substantial, identifiable disparities in the uptake of HR at patient and facility levels. By understanding which patient populations are at risk of not receiving the benefit of this therapy, we can improve our use of HR in the US, potentially leading to reduced health care costs and increased patient satisfaction.