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PURPOSE Acute care use (ACU) is a major driver of oncologic costs and is penalized by a Centers for Medicare & Medicaid Services quality measure, OP-35. Targeted interventions reduce preventable ACU; however, identifying which patients might benefit remains challenging. Prior predictive models have made use of a limited subset of the data in the electronic health record (EHR). We aimed to predict risk of preventable ACU after starting chemotherapy using machine learning (ML) algorithms trained on comprehensive EHR data. METHODS Chemotherapy patients treated at an academic institution and affiliated community care sites between January 2013 and July 2019 who met inclusion criteria for OP-35 were identified. Preventable ACU was defined using OP-35 criteria. Structured EHR data generated before chemotherapy treatment were obtained. ML models were trained to predict risk for ACU after starting chemotherapy using 80% of the cohort. The remaining 20% were used to test model performance by the area under the receiver operator curve. RESULTS Eight thousand four hundred thirty-nine patients were included, of whom 35% had preventable ACU within 180 days of starting chemotherapy. Our primary model classified patients at risk for preventable ACU with an area under the receiver operator curve of 0.783 (95% CI, 0.761 to 0.806). Performance was better for identifying admissions than emergency department visits. Key variables included prior hospitalizations, cancer stage, race, laboratory values, and a diagnosis of depression. Analyses showed limited benefit from including patient-reported outcome data and indicated inequities in outcomes and risk modeling for Black and Medicaid patients. CONCLUSION Dense EHR data can identify patients at risk for ACU using ML with promising accuracy. These models have potential to improve cancer care outcomes, patient experience, and costs by allowing for targeted, preventative interventions.

Purpose The literature assessing outcomes of partial adrenalectomy (PA) among patients with pheochromocytoma patients is largely limited to isolated, single-institution series. We aimed to perform a population-level comparison of outcomes between patients undergoing PA versus those undergoing total adrenalectomy (TA). Methods The Surveillance, Epidemiology, and End Results (SEER) database (1975-2016) was queried to identify adults with pheochromocytoma who underwent either PA or TA. Survival was assessed using multivariable Cox proportional hazards regression, Fine and Gray competing-risks regression, propensity score matching, Kaplan-Meier analysis, and cumulative incidence plots. Results 286 patients (PA: 101, TA: 185) were included in this study. As compared to those undergoing TA, patients undergoing PA had fewer tumors ≥ 8 cm in size (28.7% versus 42.7%, p = 0.048) and were more likely to have localized disease (61.4% versus 44.3%, p = 0.01). In multivariable analysis, patients undergoing PA demonstrated similar all-cause mortality (HR = 0.71, 95% CI 0.44-1.14, p = 0.16) and cancer-specific mortality (HR = 0.64, 95% CI 0.35-1.17, p = 0.15) compared to those who underwent TA. Following 1:1 propensity score matching, Kaplan-Meier analysis revealed no difference in overall survival between PA and TA groups (p = 0.26) nor was there a difference in the cumulative incidence of cancer-specific mortality (p = 0.29). Conclusions In this first population-level comparison of outcomes among patients with pheochromocytoma undergoing PA and those undergoing TA, we found no long-term differences in any survival metric between groups. PA circumvents the need for lifelong corticoid replacement therapy and remains a promising option for patients with bilateral or recurrent pheochromocytoma.

Though Wilms tumor (WT) is one of the most common malignancies in children, there is a paucity of epidemiologic studies exploring sociodemographic disparities in treatment and survival. Here, we leveraged a national cancer registry to examine sociodemographic factors associated with receipt of adjuvant therapy, either chemotherapy or radiation, as well as overall survival among pediatric patients with WT.Within the Surveillance Epidemiology and End Results database (2000-2016), we identified 2043 patients (≤ 20 years of age) with unilateral WT. Multivariable logistic regression and Cox proportional hazard models were constructed to examine the association of sociodemographic factors with, respectively, adjuvant chemotherapy/radiotherapy and overall survival (OS).Patients in the lowest SES quintile (OR 0.56, 95% CI 0.33-0.93, p = 0.03) were less likely to receive chemotherapy as compared to those in the highest SES quintile, though this association did not persist in sensitivity analyses including only patients at least 2 years of age and patients with regional/distant disease. In addition, female patients were more likely to receive chemotherapy (OR 1.46, 95% CI 1.08-1.97, p = 0.02) than male patients. Age, race, year of diagnosis, insurance status, and tumor laterality were not associated with receipt of chemotherapy. No sociodemographic variables were associated with receipt of radiotherapy. Lastly, as compared to Non-Hispanic-White patients, Hispanic patients had worse OS (HR 1.59, 95% CI 1.08-2.35, p = 0.02); no other sociodemographic variables were associated with OS.This study suggests multilevel sociodemographic disparities involving ethnicity and SES in WT treatment and survival.

INTRODUCTION AND OBJECTIVE:While there is disagreement between professional medical organizations about which patients should undergo Prostate Specific Antigen (PSA) screening, there are no guideli...

INTRODUCTION AND OBJECTIVE:Depression following prostate cancer treatment occurs in up to 1 in 5 men. Prior research has primarily focused on the impact of treatment modality on depression incidenc...

INTRODUCTION AND OBJECTIVE:The utility of prostate-specific antigen kinetics (PSAk) in Active Surveillance (AS) of low-risk prostate cancer remains controversial. The Prostate Active Surveillance S...

Background Aesthetic results in breast reconstruction for ptotic/obese breasts may be improved when using Wise-pattern closures compared with nipple-sparing mastectomies. In two-stage reconstruction, acellular dermal matrix is commonly used to support the prosthesis. This study tests the efficacy of an alternate technique that uses deepithelialized excess breast skin in lieu of acellular dermal matrix. To better understand whether acellular dermal matrix is necessary, the authors compared postoperative outcomes from reduction-reconstructions that used matrix to those that did not. Methods The authors retrospectively reviewed the outcomes of patients who underwent staged breast reconstruction following Wise-pattern closures between September of 2016 and October of 2019. Two cohorts were created based on whether acellular dermal matrix was used. Charts were reviewed for incidence of postoperative complications. Results A total of 164 breasts were reconstructed in 85 female patients. The acellular dermal matrix cohort consisted of 68 breasts, whereas the non-acellular dermal matrix cohort included 96 breasts. After the first stage, the incidence of one or more complications was similar between cohorts (acellular dermal matrix, 32.4 percent; nonmatrix, 35.4 percent; p = 0.684). Minor infection rates were significantly higher in reconstructions using acellular dermal matrix (16.2 percent versus 6.3 percent; p = 0.040). After the second stage, the complication incidence was also similar between cohorts (acellular dermal matrix, 16.2 percent; nonmatrix, 13.5 percent; p = 0.638). Final follow-up time was 445.2 days. Conclusions Overall complication rates following both stages of reconstruction were similar with and without acellular dermal matrix. When acellular dermal matrix was used, minor infection rates were higher following expander placement. In patients desiring a reduction-reconstruction, the authors find the deepithelialized dermal flap provides ample prosthesis support, without the need for acellular dermal matrix. . Clinical question/level of evidence Therapeutic, III.

The literature assessing outcomes of partial adrenalectomy (PA) among patients with pheochromocytoma patients is largely limited to isolated, single-institution series. We aimed to perform a population-level comparison of outcomes between patients undergoing PA versus those undergoing total adrenalectomy (TA).The Surveillance, Epidemiology, and End Results (SEER) database (1975-2016) was queried to identify adults with pheochromocytoma who underwent either PA or TA. Survival was assessed using multivariable Cox proportional hazards regression, Fine and Gray competing-risks regression, propensity score matching, Kaplan-Meier analysis, and cumulative incidence plots.286 patients (PA: 101, TA: 185) were included in this study. As compared to those undergoing TA, patients undergoing PA had fewer tumors ≥ 8 cm in size (28.7% versus 42.7%, p = 0.048) and were more likely to have localized disease (61.4% versus 44.3%, p = 0.01). In multivariable analysis, patients undergoing PA demonstrated similar all-cause mortality (HR = 0.71, 95% CI 0.44-1.14, p = 0.16) and cancer-specific mortality (HR = 0.64, 95% CI 0.35-1.17, p = 0.15) compared to those who underwent TA. Following 1:1 propensity score matching, Kaplan-Meier analysis revealed no difference in overall survival between PA and TA groups (p = 0.26) nor was there a difference in the cumulative incidence of cancer-specific mortality (p = 0.29).In this first population-level comparison of outcomes among patients with pheochromocytoma undergoing PA and those undergoing TA, we found no long-term differences in any survival metric between groups. PA circumvents the need for lifelong corticoid replacement therapy and remains a promising option for patients with bilateral or recurrent pheochromocytoma.

Eye-tracking technology objectively measures the visual focus of subjects when assessing aesthetics. Identifying attention-drawing features can assist in improving patient satisfaction and perceived outcomes. Using eye-tracking technology, we characterized visual gaze patterns among plastic surgery patients versus laypeople when assessing pre- and post-abdominoplasty images. Sixteen pairs of pre- and post-abdominoplasty images in AP and lateral views were shown to twenty women with and twenty women without a cosmetic procedure history. An eye-tracking device recorded visual gaze data as participants assessed the aesthetic value of the images. The patient group spent 22.6% less time evaluating images (p

Dietary fibers act through the microbiome to improve cardiovascular health and prevent metabolic disorders and cancer. To understand the health benefits of dietary fiber supplementation, we investigated two popular purified fibers, arabinoxylan (AX) and long-chain inulin (LCI), and a mixture of five fibers. We present multiomic signatures of metabolomics, lipidomics, proteomics, metagenomics, a cytokine panel, and clinical measurements on healthy and insulin-resistant participants. Each fiber is associated with fiber-dependent biochemical and microbial responses. AX consumption associates with a significant reduction in LDL and an increase in bile acids, contributing to its observed cholesterol reduction. LCI is associated with an increase in Bifidobacterium. However, at the highest LCI dose, there is increased inflammation and elevation in the liver enzyme alanine aminotransferase. This study yields insights into the effects of fiber supplementation and the mechanisms behind fiber-induced cholesterol reduction, and it shows effects of individual, purified fibers on the microbiome.

BACKGROUND Understanding the salient features that draw focus when assessing aesthetics is important for maximizing perceived outcomes. Eye-tracking technology provides an unbiased method for determining the features that draw attention when evaluating aesthetic plastic surgery. This study aimed to characterize viewing patterns of plastic surgery patients and laypeople when assessing facial cosmetic procedure images. METHODS Twenty women who previously underwent cosmetic procedures and twenty women without a history of cosmetic procedures were shown sixteen pairs of preprocedure and postprocedure images of patients who underwent laser resurfacing or lip augmentation. Image pairs were randomized to whether preprocedural or postprocedural images came first. Participants viewed each image until they decided upon an aesthetic rating (scored 1-10), while an eye-tracking device recorded participants' gaze. RESULTS The patient group's average ratings were 8.2% higher for preprocedural images and 13.3% higher for postprocedural images (P < 0.05 for both). The patient group spent 20.4% less time viewing images but spent proportionally more time evaluating the relevant features of each procedure (41.7% vs 23.3%, P < 0.01), such as the vermillion border of the upper lip, labial commissure, or periorbital region (P < 0.05 for each). For both groups, the most common site of first fixation was the nose for laser resurfacing images (26.6%) and the labial commissure for lip augmentation images (37.7%). Both groups spent more time fixated on nasolabial folds, marionette lines, and the periorbital region when viewing pre-laser resurfacing images than postprocedural images. Overall, each group had similar viewing patterns for time to first fixation on and frequency of fixations for a particular feature. CONCLUSIONS Women who previously underwent cosmetic procedures view postprocedural images more favorably and require less time to assess images, likely related to familiarity with aesthetic procedures. These women spend more time fixated on relevant features, such as the vermillion border of the upper lip, the labial commissure, and the periorbital region, than the control group. Notably, each group spent less time focused on regions associated with wrinkles, such as the marionette and periorbital areas in post-laser resurfacing images, suggesting that the procedure reduces attention-drawing features in these areas.

1511 Background: Acute care use is one of the largest drivers of cancer care costs. OP-35: Admissions and Emergency Department Visits for Patients Receiving Outpatient Chemotherapy is a CMS quality measure that will affect reimbursement based on unplanned inpatient admissions (IP) and emergency department (ED) visits. Targeted measures can reduce preventable acute care use but identifying which patients might benefit remains challenging. Prior predictive models have made use of a limited subset of the data available in the Electronic Health Record (EHR). We hypothesized dense, structured EHR data could be used to train machine learning algorithms to predict risk of preventable ED and IP visits. Methods: Patients treated at Stanford Health Care and affiliated community care sites between 2013 and 2015 who met inclusion criteria for OP-35 were selected from our EHR. Preventable ED or IP visits were identified using OP-35 criteria. Demographic, diagnosis, procedure, medication, laboratory, vital sign, and healthcare utilization data generated prior to chemotherapy treatment were obtained. A random split of 80% of the cohort was used to train a logistic regression with least absolute shrinkage and selection operator regularization (LASSO) model to predict risk for acute care events within the first 180 days of chemotherapy. The remaining 20% were used to measure model performance by the Area Under the Receiver Operator Curve (AUROC). Results: 8,439 patients were included, of whom 35% had one or more preventable event within 180 days of starting chemotherapy. Our LASSO model classified patients at risk for preventable ED or IP visits with an AUROC of 0.783 (95% CI: 0.761-0.806). Model performance was better for identifying risk for IP visits than ED visits. LASSO selected 125 of 760 possible features to use when classifying patients. These included prior acute care visits, cancer stage, race, laboratory values, and a diagnosis of depression. Key features for the model are shown in the table. Conclusions: Machine learning models trained on a large number of routinely collected clinical variables can identify patients at risk for acute care events with promising accuracy. These models have the potential to improve cancer care outcomes, patient experience, and costs by allowing for targeted preventative interventions. Future work will include prospective and external validation in other healthcare systems.[Table: see text]