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Abstract Objective Menopause symptoms affect quality of life and financial well-being but are often unaddressed in primary care clinics. Therefore, we evaluated the extent of menopause symptom documentation in electronic health records (EHRs) by primary health care professionals. Methods We retrospectively reviewed adult women who reported moderate or higher vasomotor symptoms on a Mayo Clinic survey conducted from March 1, 2021, through June 30, 2021. We then assessed adequacy of menopause symptom documentation in the EHRs of these women who had primary care visits during the survey period. We reviewed the percentage of documented vasomotor symptoms from May 1, 2019, through May 1, 2021. Results In the Mayo Clinic Health System—Northwest Wisconsin Region, 229 women self-reported moderate or higher vasomotor symptoms in the Mayo Clinic survey. Although only 23% of these women had vasomotor symptoms listed in the EHR clinical problem lists, 60% of these women had vasomotor symptoms documented in their clinic notes from the primary care visit. Approximately 6% of women reported hormone therapy use for management of menopause symptoms, and nearly 15% reported use of nonhormone prescription therapies for vasomotor symptoms. Conclusions A greater proportion of women in our study had EHR documentation of bothersome menopause symptoms than those reported in other studies, but vasomotor symptoms remain generally untreated. We need better methods for identifying midlife women with bothersome menopause symptoms in primary care clinics so that appropriate treatment options, including hormone therapy, can be discussed and offered.

363 Background: The incidence of BC in young adults is increasing; given their extended survivorship, characterizing healthcare utilization and adherence to surveillance guidelines can inform unmet health needs and gaps in care. Methods: The multi-center Young Women’s BC Cohort Study enrolled 1302 women ≤40 yrs with newly diagnosed (dx) BC from 2006-2016. Participants completed surveys every 6 mos for 3 yrs post-dx, then annually. The current analysis includes patients with Stage 0-III BC without recurrence who completed the 7-yr survey assessing survivorship care, including types of providers visited, BC surveillance, and other health maintenance practices. Multivariate logistic regression evaluated factors (clinical, demographics, concern about recurrence) associated with 1) full transition to a primary care provider (PCP) for follow-up; adherence to 2) mammography (among women who had a unilateral mastectomy or lumpectomy) and 3) bone density scans (among current hormonal therapy [HT] users), per ASCO/ACS guidelines. Results: Of 660 women with Stage 0-III BC, median age at dx was 37 (range: 17-40); 89% identified as White, 5%, Asian, 3%, Black, 3% as other/multiracial, and 4%, Hispanic. Most had received chemotherapy (75%) and radiation (61%) and 35% reported current HT; 12% had a BRCA1/2 mutation. For cancer-related follow-up, 57% reported seeing an oncology provider only, 12%, PCP only, and 29% saw a PCP + oncology provider. Among women with remaining breast(s) (n=348), 90% reported a mammogram in the last year. Adherence to other health maintenance practices varied: 68% reported having had a flu shot, 76% a pap test/pelvic exam, and 56% cholesterol screening within the last 2 yrs. Among current HT users (n=210), 46% reported a bone density scan within the last 2 yrs. In multivariate analyses assessing the odds of seeing a PCP only (vs. oncology + PCP), having stage 0 vs I disease (OR 2.74 95% CI 1.01-6.80) was associated with higher odds while any HT use (OR .31 95% CI .16-.58) and concern about recurrence (OR .23 95% CI .12-.47) were associated with lower odds. The table includes factors significantly associated with non-adherence to mammography and bone density scans. Conclusions: At 7-years post-dx, most young survivors participating in a cohort study receive cancer follow-up care from an oncology provider and have not fully transitioned their care to a PCP. Adherence to recommendations related to bone health among HT users was suboptimal. Additional research to identify barriers/facilitators to receipt of guideline-concordant follow-up care at the patient, provider, and systems levels may inform strategies to optimize survivorship in young BC survivors. Multivariable analysis: factors associated with non-adherence. MammogramOR 95% CI Bone density scanOR 95% CI Her2+ .38, .15 -.98 NS BRCA1/2 + 8.36, 1.38-50.47 .17, .05 -.62 Chemotherapy NS .22, .06 -.78 Unilateral mastectomy vs lumpectomy 6.64, 2.69-16.34 NS

271 Background: Many studies have shown that fatigue is associated with poor outcomes such as quality of life and physical function in breast cancer survivors.Early treatment of symptoms that result in persistent fatigue may be a strategy to mitigate long-term fatigue.As a result, we studied symptoms and developed risk estimates for patients that are most likely to develop fatigue by pre-surgery and follow up among patients treated on the I-SPY 2 neoadjuvant trial. I-SPY 2 is a phase-II adaptive trial for high-risk early-stage breast cancer patients. Methods: In this retrospective cohort study of 306 women undergoing neoadjuvant chemotherapy +/- targeted therapy, patients complete electronic surveys of symptoms via 34 PRO-CTCAE items and QOL via 9 PROMIS instruments. Fatigue is collected as part of the PROMIS survey and scored using Health Measures. Study timepoints are screening (SC), weekly study treatment (ST), 12 weeks (12w), pre-surgery (PS) and at 1, 6, 12 and 24 months (FU1-FU4) following surgery. Correlation between symptoms and fatigue at equal timepoints was quantified using spearman correlations and BH-adjusted p-values. For symptom odds analysis, symptoms were binarized such that those that had an average grade of mild or above (severity), rarely or above (frequency) or a little bit or above (interference) between ST weeks 1-6 were considered present. Clinically significant (CS) increase in fatigue was defined as an increase >=0.5 standard deviation (SD) in mean from baseline. Logistic regression was used to determine odds ratios of factors associated with fatigue. Results: Baseline PROMIS fatigue mean score was 47.14 (SD 9.31) with a median of 47.45. A CS increase in fatigue from baseline was seen in 55% of patients at 12w, and 61% of patients pre-surgery. Of the patients that had a CS increase in fatigue at any point prior to surgery, 45.7% had persistent fatigue through FU1-4. Symptoms associated with Fatigue at 12w were shortness of breath, headache, and nausea (P< 0.03). At PS, fatigue was significantly correlated with GI symptoms, neuropathy, and shortness of breath (P< 0.03). Risk estimates for patients that filled out symptom surveys at early timepoints (weeks 1-6) and also had fatigue were evaluated. Patients with early GU (genitourinary) symptoms had higher risk of fatigue at IR (OR=9.33, p=0.02, 88.9% in cases vs 33.3% in controls). Patients with early GI symptoms at PS (OR=8.56, p=0.03, 90.1% vs 50%), or FU2-4 (OR= 5.88 and 7.36, p= 0.04 and 0.02, 80% vs 39.1% and 81.8% vs 36.3%) also had a higher risk of developing fatigue. Conclusions: A CS increase in fatigue during treatment and follow up is seen in the majority of patients and is associated with a large number of persistent symptoms.

ABSTRACTBackgroundFollowing breast cancer (BC), many young women are interested in future childbearing and some may wish to breastfeed. However, limited information is available regarding their lactation experiences.MethodsParticipants in the Young Women's Breast Cancer Study, a multicenter, prospective cohort study of women ≤40 years diagnosed with stage 0–III BC between 2006–2016 and who reported one or more live births following diagnosis, were surveyed about pregnancy and breastfeeding after BC treatment, including reasons for attempting and stopping breastfeeding, satisfaction, and supports.ResultsOf 143 eligible women sent a survey, 115 responded and 94 were included in the analytic cohort. Breastfeeding was attempted by 55% of women (52 of 94). Among those who had not attempted, 93% noted prior bilateral mastectomies (39 of 42). Among those who attempted breastfeeding, 69% had undergone lumpectomy and radiotherapy (36 of 52), 83% of whom reported no milk production from their treated breast (30 of 36). Most (65%, 34 of 52) were at least somewhat satisfied with their ability to breastfeed. Reasons for stopping breastfeeding included: having completed the planned duration (36%, 19 of 52); to start/resume endocrine therapy (21%, 11 of 52); and to resume breast imaging (8%, 4 of 52). Approximately half (27 of 55) of women who had not undergone bilateral mastectomies recalled receiving specific information about breastfeeding after BC, mostly from the oncology team (59%, 16 of 27), online resources (48%, 13 of 27), or a lactation consultant (44%, 12 of 27).ConclusionMost young BC survivors who attempted to breastfeed were able to and were satisfied with the experience, despite challenges. Specific resources to support BC survivors who wish to breastfeed are needed.

ObjectivesMetabolic dysfunction‐associated steatotic liver disease (MASLD) is the most prevalent liver disorder in Western countries, with approximately 20%–30% of the MASLD patients progressing to severe stages. There is an urgent need for noninvasive, cost‐effective, widely accessible, and precise biomarkers to evaluate liver steatosis. This study aims to assess and compare the diagnostic performance of a novel reference frequency method‐based ultrasound attenuation coefficient estimation (ACE) in both fundamental (RFM‐ACE‐FI) and harmonic (RFM‐ACE‐HI) imaging for detecting and grading liver steatosis.MethodsAn Institutional Review Board‐approved prospective study was carried out between December 2018 and October 2022. A total number of 130 subjects were enrolled in the study. The correlation between RFM‐ACE‐HI values and magnetic resonance imaging proton density fat fraction (MRI‐PDFF), as well as between RFM‐ACE‐FI values and MRI‐PDFF were calculated. The diagnostic performance of RFM‐ACE‐FI and RFM‐ACE‐HI was evaluated using receiver operating characteristic (ROC) curve analysis, as compared to MRI‐PDFF. The reproducibility of RFM‐ACE‐HI was assessed by interobserver agreement between two sonographers.ResultsA strong correlation was observed between RFM‐ACE‐HI and MRI‐PDFF, with R = 0.88 (95% confidence interval [CI]: 0.83–0.92; P < .001), while the correlation between RFM‐ACE‐FI and MRI‐PDFF was R = 0.65 (95% CI: 0.50–0.76; P < .001). The area under the ROC (AUROC) curve for RFM‐ACE‐HI in staging liver steatosis grades of S ≥ 1 and S ≥ 2 was 0.97 (95% CI: 0.91–0.99; P < .001) and 0.98 (95% CI: 0.93–1.00; P < .001), respectively, and 0.76 (95% CI: 0.65–0.85) and 0.80 (95% CI: 0.70–0.88) for RFM‐ACE‐FI, respectively. Great reproducibility was achieved for RFM‐ACE‐HI, with an interobserver agreement of R = 0.97 (95% CI: 0.94–0.99; P < .001).ConclusionsThe novel RFM‐ACE‐HI method offered high liver steatosis diagnostic accuracy and reproducibility, which has important clinical implications for early disease intervention and treatment evaluation.

Background: Question prompt lists (QPLs) are structured sets of disease-specific questions intended to encourage question-asking by patients and enhance patient-physician communication. To date, an EoE-specific QPL has not been developed for EoE patients. Aim: To develop a preliminary QPL specific to adults with EoE by incorporating input from international esophageal experts. Methods: Sixteen experts were invited to generate QPL content through a modified Delphi (RAND/University of California, Los Angeles, CA) method consisting of 2 rounds of independent ratings. In round 1, experts provided 5 answers to the prompts “what general questions should patients ask when being seen for EoE?” and “what questions do I not hear patients asking but given my experience, I believe they should be asking?” In round 2, experts rated each question on a 5-point Likert scale, and responses rated as “essential” or “important” (determined by an a priori median threshold of ≥ 4.0) were accepted for the EoE QPL. Results: Ten esophageal experts participated in both rounds. Round 1 generated 100 questions. Questions were combined and modified to reduce redundancy, yielding 57 questions. After round 2, 51 questions (85%) were accepted for inclusion (median value ≥ 4.0) in the final QPL. Questions were then divided into 4 themes based on disease domains: (1) “What is EoE?,” (2) “Treatment Options,” (3) “Follow-up Surveillance and Long-term Risks,” and (4) “Allergy and Genetic Testing.” The largest number of questions covered was “What is EoE?” (16/51 or 31%). Questions with the highest agreement median (5.0) included examples such as “what should I do if I get a food impaction?” and “what are the treatment options?” Conclusion: This is the first preliminary EoE QPL developed in the field of medicine. We hope implementation enhances effective patient-physician communication by encouraging patients to ask relevant questions that experts prioritized. Future studies will aim to modify this communication tool by incorporating patient perspectives

ObjectiveThe purpose of this study was to evaluate the performance of advanced large language models from OpenAI (GPT‐3.5 and GPT‐4), Google (PaLM2 and MedPaLM), and an open source model from Meta (Llama3:70b) in answering clinical test multiple choice questions in the field of otolaryngology—head and neck surgery.MethodsA dataset of 4566 otolaryngology questions was used; each model was provided a standardized prompt followed by a question. One hundred questions that were answered incorrectly by all models were further interrogated to gain insight into the causes of incorrect answers.ResultsGPT4 was the most accurate, correctly answering 3520 of 4566 questions (77.1%). MedPaLM correctly answered 3223 of 4566 (70.6%) questions, while llama3:70b, GPT3.5, and PaLM2 were correct on 3052 of 4566 (66.8%), 2672 of 4566 (58.5%), and 2583 of 4566 (56.5%) questions. Three hundred and sixty‐nine questions were answered incorrectly by all models. Prompts to provide reasoning improved accuracy in all models: GPT4 changed from incorrect to correct answer 31% of the time, while GPT3.5, Llama3, PaLM2, and MedPaLM corrected their responses 25%, 18%, 19%, and 17% of the time, respectively.ConclusionLarge language models vary in their understanding of otolaryngology‐specific clinical knowledge. OpenAI's GPT4 has a strong understanding of core concepts as well as detailed information in the field of otolaryngology. Its baseline understanding in this field makes it well‐suited to serve in roles related to head and neck surgery education provided that the appropriate precautions are taken and potential limitations are understood.Level of EvidenceNA Laryngoscope, 135:629–634, 2025

Introduction: International medical graduates (IMGs) continue to play an important role in the US health care system, but little is known about their trends of matching into highly competitive residencies such as orthopedic surgery. The purpose of this study was to analyze temporal trends of IMG applicants matching into US orthopedic residency programs between 2008 and 2024 and compare them with US allopathic (MD) and osteopathic (DO) graduates. Methods: Orthopedic residency specific data for years 2008 to 2024 was obtained from the National Resident Match Program and Electronic Residency Application Service. Variables collected included total number of programs, total positions offered, number of applicants (MD, DO, and IMG), positions filled, and fill rate for each group. Trends were examined using simple linear regression modeling. Results: The number of orthopedic residency programs increased from 160 (2008) to 218 (2024), with total positions increasing from 636 (2008) to 916 (2024). The IMG fill rate decreased from 2.99% in 2008 to 0.87% in 2024 ( p < 0.01 for linear trend; β −0.069). This corresponds to an absolute number decrease of 19 IMGs in 2008 to 8 in 2024. More specifically, the proportion of US IMGs decreased from 0.94% to 0.66%, and the proportion of non-US IMGs decreased from 2.04% to 0.21%. Over the 17-year study period, a total of 105 US IMGs and 110 non-US IMGs matched into orthopedic surgery. The US MD applicant fill rate decreased significantly from 96.5% to 85.0% ( p < 0.001; β −0.944). The DO applicant fill rate increased significantly from 0.31% to 13.97% ( p < 0.0001; β 0.990). Conclusion: The declining rate of IMGs matching into orthopedic residency programs in the United States underscores the growing challenges faced by IMGs in accessing training in this competitive specialty. The notable increase in DO graduates securing orthopedic residency positions likely reflects the integration of a unified accreditation system for MD and DO residency programs established in 2020. Level of Evidence: Retrospective Cohort Study; IV

Abstract Background NRG Oncology NSABP B-39/RTOG 0413 compared whole-breast irradiation (WBI) to accelerated partial-breast irradiation (APBI). APBI was not equivalent to WBI in local tumor control. Secondary outcome was quality of life (QOL). Methods The QOL sub-study used validated self-report questionnaires, including the Breast Cancer Treatment Outcome Scale (BCTOS) and the 36-Item Short Form Health Survey (SF-36) vitality scale. Assessments occurred before random assignment, at treatment completion (chemotherapy or radiotherapy), 4 weeks later, at 6, 12, 24, and 36 months. Primary aims: cosmesis change equivalency (baseline to 3 years; a priori margin of equivalence 0.4 standard deviations) and fatigue change superiority (baseline to end of treatment [EOT]) for APBI vs WBI, by patient groups treated with or without chemotherapy when appropriate. Results From March 21, 2005 to May 25, 2009, 975 patients enrolled in this sub-study; 950 had follow-up data. APBI had 3-year cosmesis equivalent to WBI (95% CI = -0.0001 to -0.16; equivalence margin -0.22 to -0.22) in all patients. The APBI group without chemotherapy had less EOT fatigue (P = .011; mean score APBI 63 vs WBI 59); the APBI group receiving chemotherapy had worse EOT fatigue (P = .011; APBI 43 vs WBI 49). The APBI group reported less pain (BCTOS) at EOT (WBI 2.29 vs APBI 1.97) but worse pain at 3 years (WBI 1.62 vs APBI 1.71). APBI patients reported greater convenience of care than with WBI and reported less symptom severity at EOT and 4 weeks later. Conclusion Cosmetic outcomes were similar for the APBI and WBI groups, with small statistically significant differences in other outcomes that varied over time. Differences in fatigue and other symptoms appeared to resolve by ≥6 months. APBI may be preferred by some patients, for whom extended treatment is burdensome. ClinicalTrials.gov NCT00103181.