Postoperative Opioid Prescribing via Rule-Based Guidelines Derived from In-Hospital Consumption: An Assessment of Efficacy Based on Postdischarge Opioid Use.

BACKGROUND: Many institutions have developed operation-specific guidelines for opioid prescribing. These guidelines rarely incorporate in-hospital opioid consumption, which is highly correlated with consumption. We compare outcomes of several patient-centered approaches to prescribing that are derived from in-hospital consumption, including several experimental, rule-based prescribing guidelines and our current institutional guideline. STUDY DESIGN: We performed a retrospective, cohort study of all adults undergoing surgery at a single-academic medical center. Several rule-based guidelines, derived from in-hospital consumption (quantity of opioids consumed within 24 hours of discharge), were used to specify the theoretical quantity of opioid prescribed on discharge. The efficacy of the experimental guidelines was compared with 3 references: an approximation of our institution's tailored prescribing guideline; prescribing all patients the typical quantity of opioids consumed for patients undergoing the same operation; and a representative rule-based, tiered framework. For each scenario, we calculated the penalized residual sum of squares (reflecting the composite deviation from actual patient consumption, with 15% penalty for overprescribing) and the proportion of opioids consumed relative to prescribed. RESULTS: A total of 1,048 patients met inclusion criteria. Mean (SD) and median (interquartile range [IQR]) quantity of opioids consumed within 24 hours of discharge were 11.2 (26.9) morphine milligram equivalents and 0 (0 to 15) morphine milligram equivalents. Median (IQR) postdischarge consumption was 16 (0 to 150) morphine milligram equivalents. Our institutional guideline and the previously validated rule-based guideline outperform alternate approaches, with median (IQR) differences in prescribed vs consumed opioids of 0 (-60 to 27.25) and 37.5 (-37.5 to 37.5), respectively, corresponding to penalized residual sum of squares of 39,817,602 and 38,336,895, respectively. CONCLUSIONS: Rather than relying on fixed quantities for defined operations, rule-based guidelines offer a simple yet effective method for tailoring opioid prescribing to in-hospital consumption.

Travel distance and outcomes after surgical aortic valve among veterans.

OBJECTIVE: To investigate the association between travel distance and postoperative length of stay (LOS) and discharge disposition among veterans undergoing surgical aortic valve replacement (SAVR). DATA SOURCES/STUDY SETTING: We performed a retrospective cohort study of patients undergoing SAVR, with or without coronary artery bypass grafting (CABG) at VA Boston Healthcare (January 1, 2005-December 31, 2015). STUDY DESIGN: Postoperative LOS and discharge disposition were compared for SAVR patients based on travel distance to the facility: <100 miles or ≥100 miles. Multivariable regression was performed to ascertain factors associated with LOS and home discharge. DATA COLLECTION/EXTRACTION METHODS: Data were collected via chart review. All patients undergoing SAVR at our institution who primarily resided within the defined region were included. PRINCIPAL FINDINGS: Of 597 patients studied, 327 patients underwent isolated SAVR; 270 patients underwent SAVR/CABG. Overall median (IQR) distance between the patient's residence and the hospital was 49.95 miles (27.41-129.94 miles); 190 patients (32%) resided further than 100 miles away. There were no differences in the proportion of patients with diabetes, hypertension, chronic obstructive pulmonary disease (COPD), cerebrovascular disease, atrial fibrillation, or prior myocardial infarction between groups. Overall LOS (IQR) was 9 (7-13) days and did not differ between groups (p = 0.18). The proportion of patients discharged home was higher among patients who resided more than 100 miles from the hospital (71% vs. 58%, p = 0.01). On multivariable analysis, residing further than 100 miles from the hospital was independently associated with home discharge (OR = 1.64, 95% CI: 1.09-2.48). Travel distance was not associated with LOS. CONCLUSIONS: Based on our institutional experience, potential concerns of longer hospital stay or discharge to other inpatient facilities for geographically distanced patients undergoing SAVR do not appear supported. Continued examination of the drivers underlying the marked shift of veterans to the private sector appears warranted.

Evaluating capabilities of large language models: Performance of GPT-4 on surgical knowledge assessments.

BACKGROUND: Artificial intelligence has the potential to dramatically alter health care by enhancing how we diagnose and treat disease. One promising artificial intelligence model is ChatGPT, a general-purpose large language model trained by OpenAI. ChatGPT has shown human-level performance on several professional and academic benchmarks. We sought to evaluate its performance on surgical knowledge questions and assess the stability of this performance on repeat queries. METHODS: We evaluated the performance of ChatGPT-4 on questions from the Surgical Council on Resident Education question bank and a second commonly used surgical knowledge assessment, referred to as Data-B. Questions were entered in 2 formats: open-ended and multiple-choice. ChatGPT outputs were assessed for accuracy and insights by surgeon evaluators. We categorized reasons for model errors and the stability of performance on repeat queries. RESULTS: A total of 167 Surgical Council on Resident Education and 112 Data-B questions were presented to the ChatGPT interface. ChatGPT correctly answered 71.3% and 67.9% of multiple choice and 47.9% and 66.1% of open-ended questions for Surgical Council on Resident Education and Data-B, respectively. For both open-ended and multiple-choice questions, approximately two-thirds of ChatGPT responses contained nonobvious insights. Common reasons for incorrect responses included inaccurate information in a complex question (n = 16, 36.4%), inaccurate information in a fact-based question (n = 11, 25.0%), and accurate information with circumstantial discrepancy (n = 6, 13.6%). Upon repeat query, the answer selected by ChatGPT varied for 36.4% of questions answered incorrectly on the first query; the response accuracy changed for 6/16 (37.5%) questions. CONCLUSION: Consistent with findings in other academic and professional domains, we demonstrate near or above human-level performance of ChatGPT on surgical knowledge questions from 2 widely used question banks. ChatGPT performed better on multiple-choice than open-ended questions, prompting questions regarding its potential for clinical application. Unique to this study, we demonstrate inconsistency in ChatGPT responses on repeat queries. This finding warrants future consideration including efforts at training large language models to provide the safe and consistent responses required for clinical application. Despite near or above human-level performance on question banks and given these observations, it is unclear whether large language models such as ChatGPT are able to safely assist clinicians in providing care.

Re-thinking the value of cross-sectional torso imaging for ground-level fall patients with altered mental status: Outcomes from a level 1 trauma center.

INTRODUCTION: Patients with altered mental status (AMS) are often excluded from studies evaluating the utility of computed tomography of the torso (CTT) after ground level falls (GLF). It is not known whether CTT identifies otherwise undetectable injuries in patients with AMS after GLF. We sought to describe the value of performing CTT in patients with AMS after GLF, and hypothesized that CTT would not identify new, clinically significant injuries in patients with a normal torso physical exam (PE) and normal chest and pelvic radiographs (CXR/PXR). METHODS: Single-institution retrospective cohort study of GLF patients (≤1 m) with and without AMS (GCS <15, blood alcohol level >150 mg/dL, intubation prior to hospital evaluation), 2015-2019. Traumatic injury identification on CTT was evaluated in the context of normal/abnormal torso PE (based on provider documentation) and normal CXR/PXR. RESULTS: 1195 patients met inclusion criteria; 344 had AMS, of which 129 (37.5 %) underwent CTT. A further 851 patients had normal mental status, of which 180 (21.2 %) underwent CTT. Patients with a normal PE with AMS (N = 79) and without AMS (N = 38) had a similar rate of new injury discovery on CTT (6.3% vs. 7.9 %, p = 1.00). Negative PE had a negative predictive value (NPV) for identification of a new, acute traumatic injury of 92.4 % (95 % CI: 0.84-0.96) in patients with AMS while normal PE, CXR, and PXR had a NPV of 96.0 % (95 % CI: 0.80-0.99). Among patients with CTT, patients with AMS had a significantly lower rate of acute traumatic injury on CTT compared to alert patients (26.4 % vs. 48.9 %, p < 0.001). On multivariate analysis, AMS was not positively associated with likelihood of identifying acute traumatic injury on CTT. CONCLUSIONS: In patients sustaining GLFs who present with AMS and who otherwise have a negative PE, CXR, and PXR, CTT is very unlikely to identify new traumatic injuries. Strong consideration should be given to forego cross-sectional imaging in this patient population.

An Institutional Curriculum for Opioid Prescribing Education: Outcomes From 2017 to 2022.

INTRODUCTION: Prescription opioids, including those prescribed after surgery, have greatly contributed to the US opioid epidemic. Educating opioid prescribers is a crucial component of ensuring the safe use of opioids among surgical patients. METHODS: An annual opioid prescribing education curriculum was implemented among new surgical prescribers at our institution between 2017 and 2022. The curriculum includes a single 75-min session which is comprised of several components: pain medications (dosing, indications, and contraindications); patients at high risk for uncontrolled pain and/or opioid misuse or abuse; patient monitoring and care plans; and state and federal regulations. Participants were asked to complete an opioid knowledge assessment before and after the didactic session. RESULTS: Presession and postsession assessments were completed by 197 (89.6%) prescribers. Across the five studied years, the median presession score was 54.5%. This increased to 63.6% after completion of the curriculum, representing a median relative knowledge increase of 18.2%. The median relative improvement was greatest for preinterns and interns (18.2% for both groups); smaller improvements were observed for postgraduate year 2-5 residents (9.1%) and advanced practice providers (9.1%). On a scale of 1 to 10 (with 5 being comfortable), median (interquartile range) self-reported comfort in prescribing opioids increased from 3 (2-5) before education to 5 (4-6) after education (P < 0.001). CONCLUSIONS: Each year, the curriculum substantially improved provider knowledge of and comfort in opioid prescribing. Despite increased national awareness of the opioid epidemic and increasing institutional initiatives to improve opioid prescribing practices, there was a sustained knowledge and comfort gap among new surgical prescribers. The observed effects of our opioid education curriculum highlight the value of a simple and efficient educational initiative.

Association of Race, Ethnicity, Language, and Insurance with Time to Treatment Initiation Among Women with Breast Cancer at an Urban, Academic, Safety-Net Hospital.

INTRODUCTION: Initial treatment for nonmetastatic breast cancer is resection or neoadjuvant systemic therapy, depending on tumor biology and patient factors. Delays in treatment have been shown to impact survival and quality of life. Little has been published on the performance of safety-net hospitals in delivering timely care for all patients. METHODS: We conducted a retrospective study of patients with invasive ductal or lobular breast cancer, diagnosed and treated between 2009 and 2019 at an academic, safety-net hospital. Time to treatment initiation was calculated for all patients. Consistent with a recently published Committee on Cancer timeliness metric, a treatment delay was defined as time from tissue diagnosis to treatment of greater than 60 days. RESULTS: A total of 799 eligible women with stage 1-3 breast cancer met study criteria. Median age was 60 years, 55.7% were non-white, 35.5% were non-English-speaking, 18.9% were Hispanic, and 49.4% were Medicaid/uninsured. Median time to treatment was 41 days (IQR 27-56 days), while 81.1% of patients initiated treatment within 60 days. The frequency of treatment delays did not vary by race, ethnicity, insurance, or language. Diagnosis year was inversely associated with the occurrence of a treatment delay (OR: 0.944, 95% CI 0.893-0.997, p value: 0.039). CONCLUSION: At our institution, race, ethnicity, insurance, and language were not associated with treatment delay. Additional research is needed to determine how our safety-net hospital delivered timely care to all patients with breast cancer, as reducing delays in care may be one mechanism by which health systems can mitigate disparities in the treatment of breast cancer.

Defining a High-Quality and Effective Morbidity and Mortality Conference: A Systematic Review.

Importance: Morbidity and mortality conferences (MMCs) are thought to advance trainee education, quality improvement (QI), and faculty development. However, there is considerable variability with regard to their completion. Objective: To compile and analyze the literature describing the format, design, and other attributes of MMCs that appear to best advance their stated objectives related to QI and practitioner education. Evidence Review: For this systematic review, a literature search with terms combining conference and QI or morbidity and mortality was performed in January 2022, using the PubMed, Embase, and ERIC (Education Resources Information Center) databases with no date restrictions. Included studies were published in English and described surgical or nonsurgical MMCs with explicit reference to quality or system improvement, education, professional development, or patient outcomes; these studies were classified by design as survey based, intervention based, or other methodologies. For survey-based studies, positively and negatively regarded attributes of conference design, format, and completion were extracted. For intervention-based studies, details of the intervention and their impact on stated MMC objectives were abstracted. Principal study findings were summarized for the other group. Study quality was assessed using the Medical Education Research Study Quality Instrument (MERSQI). Abstract screening, full-text review, and data extraction and analysis were completed between January 2022 and December 2022. Findings: A total of 59 studies met appropriateness for study inclusion. The mean MERSQI score for the included studies was 6.7 (range, 5.0-9.5) of a maximum possible 18, which implied that the studies were of average quality. The evidence suggested that preparation and postconference follow-up regarding QI initiatives are equally as important as both (1) succinctly presenting case details, opportunities for improvement, and educational topics and (2) creating a constructive space for accountability, engagement, and multistakeholder discussion. Conclusions and Relevance: These findings suggest that the published literature on MMCs provides substantial insight into the optimal format, design, and related attributes of an effective MMC. This systematic review provides a road map for surgical departments to improve MMCs in order to align their format and design with their principal objectives related to practitioner and trainee education, error prevention, and QI.

Comparing Rationale for Opioid Prescribing Decisions after Surgery with Subsequent Patient Consumption: A Survey of the Highest Quartile of Prescribers.

BACKGROUND: Opioid prescribing patterns, including those after surgery, have been implicated as a significant contributor to the US opioid crisis. A plethora of interventions-from nudges to reminders-have been deployed to improve prescribing behavior, but reasons for persistent outlier behavior are often unknown. STUDY DESIGN: Our institution employs multiple prescribing resources and a near real-time, feedback-based intervention to promote appropriate opioid prescribing. Since 2019, an automated system has emailed providers when a prescription exceeds the 75th percentile of typical opioid consumption for a given procedure-as defined by institutional data collection. Emails include population consumption metrics and an optional survey on rationale for prescribing. Responses were analyzed to understand why providers choose to prescribe atypically large discharge opioid prescriptions. We then compared provider prescriptions against patient consumption. RESULTS: During the study period, 10,672 eligible postsurgical patients were discharged; 2,013 prescriptions (29.4% of opioid prescriptions) exceeded our institutional guideline. Surveys were completed by outlier prescribers for 414 (20.6%) encounters. Among patients where both consumption data and prescribing rationale surveys were available, 35.2% did not consume any opioids after discharge and 21.5% consumed <50% of their prescription. Only 93 (39.9%) patients receiving outlier prescriptions were outlier consumers. Most common reasons for prescribing outlier amounts were attending preference (34%) and prescriber analysis of patient characteristics (34%). CONCLUSIONS: The top quartile of opioid prescriptions did not align with, and often far exceeded, patient postdischarge opioid consumption. Providers cite assessment of patient characteristics as a common driver of decision-making, but this did not align with patient usage for approximately 50% of patients.

Impact of the COVID-19 Pandemic on Delays to Breast Cancer Surgery: Ripples or Waves?

BACKGROUND: Adherence to current recommendations for optimal time from diagnosis to treatment for patients with breast cancer may have been disrupted by the COVID-19 pandemic. This study aimed to evaluate the impact of the pandemic on time to surgery or systemic treatment with chemotherapy or immunotherapy for patients diagnosed with breast cancer. METHODS: Using the National Cancer Database, patients diagnosed with breast cancer in 2020 were compared to those diagnosed from 2018-2019 (Pre-COVID). Sub-analyses were performed for patients who were tested for COVID-19 and those who had a positive result in 2020. Multivariate logistic regression was used assess odds ratios for delayed time to surgery (DTS, defined as > 90 days) or systemic therapy (defined as > 120 days). RESULTS: In total, 230,997 patients were diagnosed with breast cancer in 2018 and 2019 compared to 102,065 in 2020. Of the 2020 cohort, 47,659 (46.7%) received COVID-19 testing; of which, 3,158 (6.6%) resulted positive. A larger proportion of COVID-tested or COVID-positive patients had higher stage at diagnosis. DTS was more likely for patients who were diagnosed in 2020, uninsured or underinsured, non-white, Hispanic, less educated, or age < 70 years. Similar factors were predictive of delay to systemic therapy (less age < 70 years); however, diagnosis in 2020 was not. CONCLUSION: The COVID-19 pandemic was associated with significant DTS for breast cancer but spared time to systemic therapy. Delays disproportionately impacted vulnerable and underserved patient populations. The true clinical effects of these delays may yet be realized for breast cancer patients.

Evaluating Capabilities of Large Language Models: Performance of GPT4 on Surgical Knowledge Assessments.

Background: Artificial intelligence (AI) has the potential to dramatically alter healthcare by enhancing how we diagnosis and treat disease. One promising AI model is ChatGPT, a large general-purpose language model trained by OpenAI. The chat interface has shown robust, human-level performance on several professional and academic benchmarks. We sought to probe its performance and stability over time on surgical case questions. Methods: We evaluated the performance of ChatGPT-4 on two surgical knowledge assessments: the Surgical Council on Resident Education (SCORE) and a second commonly used knowledge assessment, referred to as Data-B. Questions were entered in two formats: open-ended and multiple choice. ChatGPT output were assessed for accuracy and insights by surgeon evaluators. We categorized reasons for model errors and the stability of performance on repeat encounters. Results: A total of 167 SCORE and 112 Data-B questions were presented to the ChatGPT interface. ChatGPT correctly answered 71% and 68% of multiple-choice SCORE and Data-B questions, respectively. For both open-ended and multiple-choice questions, approximately two-thirds of ChatGPT responses contained non-obvious insights. Common reasons for inaccurate responses included: inaccurate information in a complex question (n=16, 36.4%); inaccurate information in fact-based question (n=11, 25.0%); and accurate information with circumstantial discrepancy (n=6, 13.6%). Upon repeat query, the answer selected by ChatGPT varied for 36.4% of inaccurate questions; the response accuracy changed for 6/16 questions. Conclusion: Consistent with prior findings, we demonstrate robust near or above human-level performance of ChatGPT within the surgical domain. Unique to this study, we demonstrate a substantial inconsistency in ChatGPT responses with repeat query. This finding warrants future consideration and presents an opportunity to further train these models to provide safe and consistent responses. Without mental and/or conceptual models, it is unclear whether language models such as ChatGPT would be able to safely assist clinicians in providing care.

Association of Race, Ethnicity, Insurance, and Language and Rate of Breast-Conserving Therapy Among Women With Nonmetastatic Breast Cancer at an Urban, Safety-Net Hospital.

INTRODUCTION: Breast-conserving therapy (BCT), specifically breast-conserving surgery (BCS) and adjuvant radiation, provides an equivalent alternative to mastectomy for eligible patients. However, previous studies have shown that BCT is underused in the United States, particularly among marginalized demographic groups. In this study, we examine the association between race, ethnicity, insurance, and language and rate of BCS among patients treated at an academic, safety-net hospital. MATERIALS AND METHODS: We conducted a retrospective cohort study of 520 women with nonmetastatic breast cancer diagnosed and treated at an academic, safety-net hospital (2009-2014). We assessed eligibility for BCT and then differences in the rate of BCT among eligible patients by race, ethnicity, insurance, and language. Reasons for not undergoing BCT were documented. RESULTS: Median age was 60 y; 55.9% were non-White, 31.9% were non-English-speaking, 15.6% were Hispanic, and 47.4% were Medicaid/uninsured. Three hundred seventy one (86.3%) underwent BCS; within this group, 324 (87.3%) completed adjuvant radiation. Among patients undergoing mastectomy, 30 patients (36.7%) were eligible for BCT; within this group, reasons for mastectomy included patient preference (n = 28) and to avoid possible re-excision or adjuvant radiation in patients with significant comorbidities (n = 2). Eligibility for BCT varied by ethnicity (Hispanic [100%], Non-Hispanic [92%], P = 0.02), but not race, language, or insurance. Among eligible patients, rate of BCS varied by age (<50 y [84.9%], ≥50 y [92.9%], P = 0.01) and ethnicity (Hispanic [98.5%], Non-Hispanic [91.3%], P = 0.04), but not race, language, or insurance. CONCLUSIONS: At our safety-net hospital, the rate of BCS among eligible patients did not vary by race, language, or insurance. Excluding two highly comorbid patients, all patients who underwent mastectomy despite being eligible for BCT were counseled regarding BCS and expressed a preference for mastectomy. Further research is needed to understand the value of BCT in the treatment of breast cancer, to ensure informed decision-making, address potential misconceptions regarding BCT, and advance equitable care for all patients.

Postoperative Atrial Fibrillation After Surgical Aortic Valve Replacement: Amiodarone and Warfarin Use.

INTRODUCTION: The association between amiodarone treatment for postoperative atrial fibrillation (POAF) after surgical aortic valve replacement (SAVR) and both the return to normal sinus rhythm (NSR) and anticoagulation use at discharge has not been extensively studied. METHODS: We retrospectively identified all patients who underwent biological SAVR with or without concomitant coronary artery bypass grafting (CABG) at a Veterans Affairs Medical Center (2005-2015). We reviewed new-onset POAF, amiodarone use, return to NSR, and anticoagulation use with warfarin. Discharge rhythm and warfarin administration were compared among patients with POAF who were treated with amiodarone and patients who did not receive amiodarone. RESULTS: Of the 395 patients (186 AVR/coronary artery bypass grafting; 209 AVR) studied, POAF developed in 191 patients (48.0%); 80.1% (153/191) of these patients received amiodarone. Among patients treated with amiodarone, 70.6% (108/153) were in SR at the time of discharge versus 65.8% (25/38) of POAF patients who were not treated with amiodarone (P = 0.57). Among amiodarone-treated patients, 30.7% (47/153) were discharged with warfarin; among patients not treated with amiodarone, 31.6% (12/38) were discharged with warfarin (P = 0.92). Among amiodarone-treated patients discharged in NSR, 89.9% (97/108 patients) were not discharged with warfarin; among patients not treated with amiodarone who were discharged in NSR, 92% (23/25) were not discharged with warfarin (P = 0.74). CONCLUSIONS: POAF after SAVR appears common. Although amiodarone is often used for POAF patients, its use does not appear to be associated with surgeons' decision to anticoagulate patients. Surgeons' preferences for using rhythm control and antithrombotic therapy for POAF after SAVR warrant further exploration.

How surgeons use risk calculators and non-clinical factors for informed consent and shared decision making: A qualitative study.

BACKGROUND: The discussion of risks, benefits, and alternatives to surgery with patients is a defining component of informed consent. As shared-decision making has become central to surgeon-patient communication, risk calculators have emerged as a tool to aid communication and decision-making. To optimize informed consent, it is necessary to understand how surgeons assess and communicate risk, and the role of risk calculators in this process. METHODS: We conducted interviews with 13 surgeons from two institutions to understand how surgeons assess risk, the role of risk calculators in decision-making, and how surgeons approach risk communication during informed consent. We performed a qualitative analysis of interviews based on SRQR guidelines. RESULTS: Our analysis yielded insights regarding (a) the landscape and approach to obtaining surgical consent; (b) detailed perceptions regarding the value and design of assessing and communicating risk; and (c) practical considerations regarding the future of personalized risk communication in decision-making. Above all, we found that non-clinical factors such as health and risk literacy are changing how surgeons assess and communicate risk, which diverges from traditional risk calculators. CONCLUSION: Principally, we found that surgeons incorporate a range of clinical and non-clinical factors to risk stratify patients and determine how to optimally frame and discuss risk with individual patients. We observed that surgeons' perception of risk communication, and the importance of eliciting patient preferences to direct shared-decision making, did not consistently align with patient priorities. This study underscored criticisms of risk calculators and novel decision-aids - which must be addressed prior to greater adoption.

The Impact of the COVID-19 Pandemic on Hepatocellular Carcinoma Time to Treatment Initiation: A National Cancer Database Study.

BACKGROUND: The COVID-19 pandemic strained oncologic care access and delivery, yet little is known about how it impacted hepatocellular carcinoma (HCC) management. Our study sought to evaluate the annual effect of the COVID-19 pandemic on time to treatment initiation (TTI) for HCC. METHODS: The National Cancer Database was queried for patients diagnosed with clinical stages I-IV HCC (2017-2020). Patients were categorized based on their year of diagnosis as "Pre-COVID" (2017-2019) and "COVID" (2020). TTI based on stage and type of treatment first received was compared by the Mann-Whitney U test. A logistic regression model was used to evaluate factors of increased TTI and treatment delay (> 90 days). RESULTS: In total, 18,673 patients were diagnosed during Pre-COVID, whereas 5249 were diagnosed during COVID. Median TTI for any first-line treatment modality was slightly shorter during the COVID year compared with Pre-COVID (49 vs. 51 days; p < 0.0001), notably in time to ablation (52 vs. 55 days; p = 0.0238), systemic therapy (42 vs. 47 days; p < 0.0001), and radiation (60 vs. 62 days; p = 0.0177), but not surgery (41 vs. 41 days; p = 0.6887). In a multivariate analysis, patients of Black race, Hispanic ethnicity, and uninsured/Medicaid/Other Government insurance status were associated with increased TTI by factors of 1.057 (95% CI: 1.022-1.093; p = 0.0013), 1.045 (95% CI: 1.010-1.081; p = 0.0104), and 1.088 (95% CI: 1.053-1.123; p < 0.0001), respectively. Similarly, these patient populations were associated with delayed treatment times. CONCLUSIONS: For patients diagnosed during COVID, TTI for HCC, while statistically significant, had no clinically significant differences. However, vulnerable patients were more likely to have increased TTI.

A propensity score matching analysis: Impact of senior resident versus fellow participation on outcomes of complex surgical oncology.

BACKGROUND: Teaching hospitals that train both general surgery residents and fellows in complex general surgical oncology have become more common. This study investigates whether participation of a senior resident versus a fellow has an impact on outcomes of patients undergoing complex cancer surgery. METHODS: Patients who underwent esophagectomy, gastrectomy, hepatectomy, or pancreatectomy between 2007 and 2012 with assistance from a senior resident (post-graduate years 4-5) or a fellow (post-graduate years 6-8) were identified from the ACS NSQIP. Based on age, sex, body mass index, ASA classification, diagnosis of diabetes mellitus, and smoking status, propensity-scores were created for odds of undergoing the operation assisted by a fellow. Patients were matched 1:1 based on propensity score. Postoperative outcomes including risk of major complication were compared after matching. RESULTS: In total, 6934 esophagectomies, 13,152 gastrectomies, 4927 hepatectomies, and 8040 pancreatectomies were performed with assistance of a senior resident or fellow. After matching, overall rates of major complications were equivalent across all four anatomic locations between cases performed with the participation of a senior resident versus a surgical fellow: esophagectomy (37.0%% vs 31.6%, p = 0.10), gastrectomy (22.6% vs 22.3%, p = 0.93), hepatectomy (15.8% v 16.0%, p = 0.91), and pancreatectomy (23.9% vs 25.2%, p = 0.48). Operative time was shorter for gastrectomy (212 vs. 232 min; p = 0.004) involving a resident compared to a fellow, but comparable for esophagectomy (330 vs. 336 min; p = 0.41), hepatectomy (217 vs. 219 min; p = 0.85), and pancreatectomy (320 vs. 330 min; p = 0.43). CONCLUSIONS: Senior resident participation in complex cancer operations does not appear to negatively impact operative time or postoperative outcomes. Future research is needed to further assess this domain of surgical practice and education, particularly with regard to case selection and operative complexity.

Mitigating disparities in breast cancer treatment at an academic safety-net hospital.

PURPOSE: Among women with non-metastatic breast cancer, marked disparities in stage at presentation, receipt of guideline-concordant treatment and stage-specific survival have been shown in national cohorts based on race, ethnicity, insurance and language. Little is published on the performance of safety-net hospitals to achieve equitable care. We evaluate differences in treatment and survival by race, ethnicity, language and insurance status among women with non-metastatic invasive breast cancer at a single, urban academic safety-net hospital. METHODS: We conducted a retrospective study of patients with invasive ductal or lobular breast cancer, diagnosed and treated between 2009 and 2014 at an urban, academic safety-net hospital. Demographic, tumor and treatment characteristics were obtained. Stage at presentation, stage-specific overall survival, and receipt of guideline-concordant surgical and adjuvant therapies were analyzed. Chi-square analysis and ANOVA were used for statistical analysis. Unadjusted survival analysis was conducted by Kaplan-Meier method using log-rank test; adjusted 5 year survival analysis was completed stratified by early and late stage, using flexible parametric survival models incorporating age, race, primary language and insurance status. RESULTS: 520 women with stage 1-3 invasive breast cancer were identified. Median age was 58.5 years, 56.1% were non-white, 31.7% were non-English-speaking, 16.4% were Hispanic, and 50.1% were Medicaid/uninsured patients. There were no statistically significant differences in stage at presentation between age group, race, ethnicity, language or insurance. The rate of breast conserving surgery (BCS) among stage 1-2 patients did not vary by race, insurance or language. Among patients indicated for adjuvant therapies, the rates of recommendation and completion of therapy did not vary by race, ethnicity, insurance or language. Unadjusted survival at 5 years was 93.7% for stage 1-2 and 73.5% for stage 3. Adjusting for age, race, insurance status and primary language, overall survival at 5 years was 93.8% (95% CI 86.3-97.2%) for stage 1-2 and 83.4% (95% CI 35.5-96.9%) for stage 3 disease. Independently, for patients with early- and late-stage disease, age, race, language and insurance were not associated with survival at 5-years. CONCLUSION: Among patients diagnosed and treated at an academic safety-net hospital, there were no differences in the stage at presentation or receipt of guideline-concordant treatment by race, ethnicity, insurance or language. Overall survival did not vary by race, insurance or language. Additional research is needed to assess how hospitals and healthcare systems mitigate breast cancer disparities.