Citations

e12644 Background: Standard neoadjuvant therapy for HER2-positive early breast cancer combines multi-agent chemotherapy with HER2-targeted antibodies and is associated with substantial toxicity. HER2-directed antibody–drug conjugates (ADCs) may enable de-escalation. We compared efficacy and toxicity of neoadjuvant ADC-based regimens given without concurrent chemotherapy versus standard chemotherapy-based regimens, including by platinum use in the control arm. Methods: We searched PubMed, Embase, Cochrane CENTRAL, Scopus, and Web of Science through December 18, 2024 for randomized controlled trials in early/locally advanced HER2-positive breast cancer. Eligible trials compared neoadjuvant ADC-based regimens without concurrent chemotherapy versus standard chemotherapy-based regimens. Outcomes were pathologic complete response (pCR; per trial definition), grade ≥3 adverse events (AEs), and treatment discontinuation. Odds ratios (ORs) were pooled and heterogeneity was summarized with I². Results: Nine randomized trials (n = 2,021; mean age 50.7±13.7) were included. There was no significant difference in pCR between groups (OR 0.93, 95% CI 0.62–1.40; I² = 59.8%). ADC-based regimens were associated with fewer grade ≥3 AEs (OR 0.30, 95% CI 0.11–0.84; I² = 91.5%). Treatment discontinuation did not differ (OR 1.10, 95% CI 0.39–3.12; I² = 85.8%). Findings were consistent when stratified by platinum use in the control regimen. Conclusions: In HER2-positive early breast cancer, neoadjuvant ADC-based regimens without concurrent chemotherapy achieve pCR comparable to standard chemotherapy while substantially reducing severe toxicity without increasing discontinuation, independent of platinum use. Confirmation in phase III trials with mature survival endpoints is needed.

Abstract Background and Aims Burnout affects millions of healthcare workers worldwide, from food service and nurses to physicians and leaders, impairing worklives and threatening health system stability. Methods An international collaborative, PREVAIL, was created to reduce burnout globally. Leaders from six continents shared structured insights into the local state of wellness and burnout contributors and mitigators, which were then subjected to a formal thematic (qualitative) analysis to identify common and region-specific themes. Results Across continents, findings showed the global state of well-being was in danger, though threats varied by region: long shifts in Africa, heavy workloads in Asia, austerity-prone environments in Europe and financially driven care in North America. Vulnerable worker groups included women, nurses, and primary care. Mitigators included workload and schedule adjustments (Africa), shift policies with fair pay (Asia), leader support and regular well-being assessments (Australia), improved psychosocial services (Europe), organizational wellness support and career development (North America), and trainee support (South America). Conclusions A proposed “common pathway” framework explains shared drivers of poor workforce well-being and provides actionable steps for promoting compassionate, supportive environments worldwide. Implications/Learning Points Adopting a coordinated international approach may prevent devastating workforce shortages over the comingdecades. Burnout assessment and reduction in the global workforce is a high priority.

INTRODUCTION: Chronic gastroduodenal disorders are highly prevalent and encompass heterogeneous pathophysiology. Autonomic dysfunction may contribute, but its relative contribution to disease pathophysiology and symptoms is unclear. This study aimed to clarify the contributions of autonomic dysfunction in gastroduodenal disorders and symptom associations using multimodal testing, hypothesizing that distinct disorder subgroups would be revealed. METHODS: This prospective observational cohort study included 80 patients with chronic gastroduodenal symptoms. Participants underwent expert clinician-led autonomic evaluation, body surface gastric mapping (BSGM; Gastric Alimetry, New Zealand), and gastric emptying scintigraphy testing. BSGM phenotyping, gastric emptying cutoffs, and autonomic criteria followed standard criteria. RESULTS: Gastroparesis was diagnosed in 27 (33.8%) patients. Autonomic dysfunction was present in 21 (26.3%) patients, and abnormal BSGM in 20 (25%). Autonomic dysfunction and abnormal BSGM were both more prevalent in gastroparesis (51.9% vs 13.2%, P = 0.001; and 44.4% vs 15.1%, P = 0.005, respectively). However, these diagnoses tended not to overlap, with patients having autonomic dysfunction generally exhibiting normal BSGM tests. Autonomic dysfunction independently predicted delayed gastric emptying (OR 13.8, P < 0.001) and was associated with earlier meal responses (higher meal response ratio, P = 0.04) and worse postprandial distress symptoms ( P < 0.05). DISCUSSION: Autonomic dysfunction independently predicted delayed gastric emptying and revealed a gastroparesis mechanism distinct from gastric myoelectrical impairment. Autonomic dysfunction altered the postprandial gastric motor response and was associated with a greater symptom burden. Multimodal physiological testing including autonomic profiling reveals distinct mechanistic subgroups in patients with chronic gastroduodenal symptoms.

Background The Woven EndoBridge (WEB) device represents an innovative solution for cerebral aneurysm occlusion, particularly for challenging wide-neck bifurcation aneurysms. However, factors affecting sustained occlusion remain poorly understood. We utilized machine learning to attempt to identify predictors of favorable long-term outcomes following WEB treatment. Methods In this multicenter retrospective study, we collected patient demographics, aneurysm characteristics, procedural details, and clinical outcomes. The primary endpoint was improvement in occlusion status, defined as maintained Raymond-Roy Occlusion Classification (RROC) grade 1, or improvement from grade 2 to 1, or from grade 3 to either 2 or 1 on final angiographic follow up. The dataset was split into training (75%) and validation (25%) sets. The CatBoost algorithm was selected based on performance metrics, with Shapley Additive exPlanations (SHAP) values calculated to determine feature importance. Furthermore, a multivariable binomial logistic regression model was performed to validate machine learning findings. Results Among 720 aneurysms from 36 hospitals, 84% showed improvement in occlusion at follow up. Both machine learning and multivariable logistic regression identified aneurysm height as the most consistent correlate of nonimprovement (odds ratio (OR) 0.90 per mm, p = 0.022). In the CatBoost model, the highest-ranking features by SHAP included aneurysm height, patient age, treatment acuity, ACom location, WEB-SLS device, bifurcation anatomy, aneurysm multiplicity, baseline modified Rankin Scale, access route, and partial thrombosis. Conclusions Machine-learning and regression analyses identified consistent predictors of occlusion improvement after WEB treatment, with aneurysm height most strongly linked to nonimprovement. These insights may guide patient selection and follow up. Findings require cautious interpretation and external validation in larger cohorts.

Blood iron levels are related to many health conditions, affecting hundreds of millions of individuals worldwide. To aid in the prevention and treatment of iron-related disorders, previous research has developed a low-cost, accurate, point-of-care method for measuring iron from a single finger-prick blood sample. This study builds upon that work by introducing an improved imaging method that accurately reads sensor images irrespective of variations in environmental illumination and camera quality. Smartphone cameras were used as analytical tools, demonstrating an average coefficient of variation of 5.13% across different phone models, and absorbance results were found to be improved by 8.80% compared to the method in a previous study. The proposed method successfully enhances iron detection accuracy under diverse lighting conditions, paving the way for smartphone-based sensing of other colorimetric reactions involving various analytes.

Objectives: This study evaluates the efficacy of existing and new aerosol mitigation methods during nebulization (Neb) in combination with high-flow nasal cannula (HFNC) oxygen supplementation and non-invasive ventilation (NIV). Methods: We recorded fugitive aerosol particle concentrations over time and assessed the peak (P) and area (A) efficacy of active and passive mitigation methods, comparing them to a no-mitigation condition. Peak efficacy was measured by the reduction in maximum aerosol concentration, while area efficacy was quantified by the reduction of the area under the aerosol concentration–time curve. Results: For HFNC with Neb, we found that active mitigation using a mask with a biofilter and a fan (referred to as the aerosol barrier mask) significantly outperformed passive mitigation with a face mask. The peak and area efficacy for aerosol reduction were 99.0% and 96.4% for active mitigation and 35.9% and 7.6% for passive mitigation, respectively. For NIV with Neb, the active mitigation method, using a box with a biofilter and fan, also outperformed passive mitigation using only the box. The peak and area efficacy for aerosol reduction were 92.1% and 85.5% for active mitigation and 53.7.0% and 25.4% for passive mitigation, respectively. Conclusion: We concluded that active mitigation set up systems advantageous for effective reduction of airborne aerosols during aerosol generated procedures.

ABSTRACTObjectiveTo conduct an economic evaluation of a group mindfulness program compared to an education support program for breast cancer survivors (BCS).MethodsThe cost‐utility analysis (cost per quality‐adjusted life year [QALY]) was performed from a single‐center randomized controlled trial in the United States. Data from 181 BCS were included in the analysis (91 from the mindfulness‐based stress reduction for breast cancer, MBSR(BC) and 90 from the Breast Cancer Education Support, (BCES)). Analyses were conducted from two perspectives: societal and healthcare system. The EuroQol EQ‐5D‐5L was used to measure quality of life and the Client Service Receipt Inventory (CSRI) was used to measure health services utilization from baseline through 26 weeks. The impact of MBSR(BC) on health services utilization and costs was estimated with generalized linear models.ResultsIn the reference case analyses (societal perspective), the average total cost in the MBSR(BC) group was $5744 compared with $6140 in the BCES group. At the end of follow‐up, the MBSR(BC) group dominated BCES in terms of Incremental Cost Utility Ratio (ICUR), with MBSR(BC) providing an incremental cost of −$541 (95% CI: −$3400, $2318) and a 0.021 QALY (95% CI: −0.014, 0.055). Net monetary benefit (NMB) analysis showed that MBSR(BC) has a higher probability of achieving positive NMB across a range of possible societal willingness‐to‐pay for improving quality of life.ConclusionsOur findings suggest that MBSR(BC) is likely to be cost‐effective for breast cancer survivors over 6 months. Cost savings primarily resulted from reduced ER and hospital admissions and tests.

Ketones, which are key biomarkers of fat oxidation, are relevant for metabolic health maintenance and disease development, making continuous monitoring essential. In this study, we introduce a novel colorimetric sensor designed for potential continuous acetone detection in biological fluids. The sensor features a polydimethylsiloxane (PDMS) shell that encapsulates a sensitive and specific liquid-core acetone-sensing probe. The microsphere sensors were characterized by evaluating their size, PDMS shell thickness, colorimetric response, and sensitivity under realistic conditions, including 100% relative humidity (RH) and CO2 interference. The microsphere size and sensor sensitivity can be controlled by modifying the fabrication parameters. Critically, the sensor showed high selectivity for acetone detection, with negligible interference from CO2 concentrations up to 4%. In addition, the sensor displayed good reproducibility (CV < 5%) and stability under realistic storage conditions (over two weeks at 4 °C). Finally, the accuracy of the microsphere sensor was validated against a gold standard gas chromatography-mass spectrometry (GC-MS) method using simulated and real breath samples from healthy individuals and type 1 diabetes patients. The correlation between the microsphere sensor and GC-MS produced a linear fit with a slope of 0.948 and an adjusted R-squared value of 0.954. Therefore, the liquid-core microsphere-based sensor is a promising platform for acetone body fluid analysis.