Citations

Background: Monitored anesthesia care (MAC) combined with regional anesthetic techniques is commonly used for open reduction and internal fixation (ORIF) of unstable ankle fractures. When compared to general anesthesia (GA), MAC with regional anesthesia has been associated with reduced systemic adverse effects and shorter recovery times, although regional anesthesia carries additional costs and potential complications of its own. A new technique involving the infiltration of high-volume, low-concentration (VL) local anesthetic was therefore developed. When used in conjunction with MAC, we refer to this technique as MAC-VL. This study evaluates outcomes and recovery metrics following outpatient ankle ORIF performed under GA vs MAC-VL without regional anesthesia. Methods: An IRB-approved retrospective cohort study was conducted including 159 adults who underwent outpatient ankle ORIF between February 1, 2023, and January 31, 2026. Patients were identified using standardized diagnostic and procedural codes and grouped according to anesthesia type. All patients received a standardized injection of local anesthetic around the proposed operative sites before the procedure; anesthesia type was MAC (n = 48) or GA (n = 111). The primary outcome was time to discharge, defined as the interval from incision closed to hospital discharge. Secondary outcomes were considered exploratory and included tourniquet, operative, anesthesia time, time in room, Post Anesthesia Care Unit length of stay, conversion from MAC to GA, reported postoperative nausea and vomiting, admissions, and postoperative emergency department visits. Results: Among 160 procedures for which no significant difference in case mix could be detected with the numbers available, MAC-VL was associated with a significantly shorter time to discharge—reducing discharge time by 55.2 minutes ( P < .001) following adjustment for demographic, clinical, and operative covariates—and shortened total anesthesia and operating room time compared with GA. With the numbers available, no significant difference was detected for the remaining secondary outcomes. Conclusion: The MAC-VL protocol was associated with shorter operating room and recovery times and may improve health care resource use. Level of Evidence: Level III, retrospective cohort study.

ABSTRACT Background Prior studies in the pre‐MRI era suggest that patients with NCCN Intermediate and High Risk Grade Group 1 prostate cancer (GG1 PCa) on biopsy have increased risk for adverse oncologic outcomes. However, prostate MRI has altered patient selection for biopsy and improved prostate sampling. Herein, we examined factors associated with adverse pathologic features (APF) at radical prostatectomy (RP) and biochemical recurrence (BCR) among patients with GG1 in the MRI era. Methods A prospectively maintained institutional prostate cancer registry identified patients with GG1 PCa on biopsy who underwent RP from 2000 to 2023, stratified by MRI use. Multivariable logistic regression and Cox regression identified factors associated with APF at RP (GG3‐5, ≥ pT3a, or pN1) and BCR free survival (two consecutive PSA ≥ 0.2 ng/mL), respectively. Results Among patients without MRI ( n = 6732), NCCN risk group was associated with APF, BCR, and distant metastasis. Among 302 patients with GG1 and pre‐operative MRI, NCCN risk group was associated with neither APF nor BCR. Age (OR 1.07, 95% CI 1.01–1.14, p = 0.01), PIRADS ( p = 0.01), and % core positivity (OR 1.02, 95% CI 1.00–1.03, p = 0.04) were associated with APF. Age (HR 1.07, 95% CI 1.01–1.13, p = 0.03), APF (HR 4.36, 95% CI 2.14–8.86, p < 0.001), and positive margins (HR 4.88, 95% CI 2.39–9.98, p < 0.001) were associated with BCR. Conclusions Prior to prostate MRI, NCCN risk groups offered meaningful prognostication among patients with GG1 PCa. However, the utility of NCCN risk groups for GG1 in the MRI era appears limited. Contemporary risk stratification for GG1 should focus on biopsy and MRI characteristics rather than NCCN criteria.

BET bromodomain inhibitors are efficacious as anti-inflammatory compounds, but clinical translation is hampered by dose-limiting toxicities from non-selective inhibition. We herein report compounds 16 and 26, based on previously reported 4-methyl-1,2,3-triazole-based inhibitor, DW34. 16 has a BRD4 BD1 Ki of 10 nM, and up to 13–38-fold selectivity for BRD4 BD1 over other BD2 domains, and an improved hERG affinity of 4.24 µM over DW34. 26, A biscyclopropyl analog of 16 showed further enhancement of BD1 selectivity over BD2 (26–203-fold), but exhibited more potent hERG inhibition. Compound 16 had improved liver and plasma clearance over DW34, with good biodistribution to the liver, and had an intracellular target-engagement affinity Ki of 92 nM, with reduction of Ccl2, Cxcl1, AST, and ALT in in vitro and in vivo mouse models of liver inflammation. 16 represents a useful lead for treating inflammatory liver diseases, with improved specificity, drug-like properties, and reduced hERG affinity.

Abstract Pancreatic ductal adenocarcinoma (PDAC), the most common subtype of pancreatic cancer, is a deadly disease with a complex tumor microenvironment (TME). Cytotoxic combination chemotherapy treatments are the mainstay of PDAC therapy, but patients rapidly develop chemoresistance, highlighting the need to elucidate how chemotherapy alters the TME and whether these changes drive chemoresistance. Here, we examined matched pre- and post-treatment tissue specimens using single-cell RNA-sequencing and found near-universal enrichment after treatment of axonal guidance genes in cancer-associated fibroblasts (CAFs). These neural CAFs were enriched near sites of perineural invasion, coinciding with regions of increased tumor cell proliferation, and were enriched in tumor areas distant from nerves after chemotherapy. Metastatic recurrent lesions had the highest prevalence of neural CAFs versus primary tumors and untreated metastases. Neural CAFs showed elevated non-canonical WNT mediators and axonal guidance genes, which complemented matching cognate binding partners in tumor epithelial cells, suggesting a role in tumor-stroma crosstalk. Additionally, in vitro studies revealed enrichment of axonal guidance genes in patient-derived CAF lines upon exposure to chemotherapy or tumor cells. Altogether, these findings implicate fibroblast-derived axonal-guidance genes in promoting PDAC invasion and point to a promising therapeutic target for this disease.

Abstract Background Synthetic control arms (SCAs) derived from historical trial data can complement randomized controlled trials (RCTs), particularly in oncology where feasibility, ethical, and cost constraints may limit conventional trial designs. However, their validity for overall survival (OS) remains uncertain. We evaluated the feasibility and limitations of constructing SCAs from the ARCAD metastatic colorectal cancer (mCRC) database across multiple treatment lines. Methods Seven landmark RCTs representing first-, second-, and third-line settings were selected. External control arms were constructed from ARCAD individual patient-level data using propensity score matching based on key clinical and biological variables from a validated ARCAD prognostic score, with adjustment for geographic region and time era when needed. A prespecified two-step benchmarking framework assessed: (1) control-arm OS reproducibility and (2) virtual trial comparisons between matched synthetic controls and original RCT experimental arms. Agreement was evaluated using hazard ratios (HRs) and Z-tests. Results A total of 28,022 patients met the inclusion criteria. ARCAD-derived SCAs were successfully constructed for all selected RCTs and closely reproduced control-arm OS. After matching, baseline characteristics were well balanced, with minimal differences between included and excluded patients. Virtual trials showed concordant treatment-effect estimates with the original RCTs, with a median absolute HR deviation of 0.05 and no significant differences by Z-tests (P&gt;.05). Survival outcomes were consistently reproduced across treatment lines. Conclusion ARCAD-derived SCAs reliably reproduced control-arm OS and benchmark treatment-effect estimates from landmark RCTs in mCRC. Despite limitations related to residual confounding and missing data, this framework supports benchmarking, trial design, and exploratory analyses when conventional control arms are impractical.

Abstract Purpose Traditional adverse event (AE) reporting in oncology trials focuses on the single worst CTCAE grade, which may underrepresent chronic or recurrent toxicity burden. We applied a longitudinal toxicity framework to compare toxicity profiles of chemotherapy with or without cetuximab in metastatic colorectal cancer. Patients and Methods We pooled two randomized first-line trials in the ARCAD database. AEs examined were diarrhea, rash, hand-foot syndrome (HFS), fatigue, anorexia, and mucositis. Outcomes included grade ≥3 AE, time to first occurrence of maximum grade, early onset (≤6 weeks), and AEL, a normalized measure of cumulative toxicity burden over treatment. Analyses were adjusted for chemotherapy backbone, ECOG performance status, sex, primary tumor location, dose reduction, and treatment duration. Results Compared with Chemotherapy alone (n = 564), Chemotherapy plus cetuximab (n = 738) was associated with higher grade ≥3 rash (21% vs 0.5%; adjusted odds ratio [OR] 49.89, 95% CI 15.8–157.4), higher rash AEL (0.257 vs 0.069; adjusted mean difference 0.22, 95% CI 0.21–0.23), and more frequent early-onset maximum rash (67% vs 34%; adjusted OR 4.28, 95% CI 2.72–6.74). Rash AEL remained higher with cetuximab within maximum-grade strata. HFS showed higher grade ≥3 risk and overall AEL with cetuximab, but no within-grade AEL difference, indicating higher overall HFS burden reflected grade distribution rather than within-grade chronicity. No consistent differences were observed for other AEs. Conclusions Incorporating onset timing and AEL distinguished persistent toxicity burden from isolated peak events. This framework may support comparative tolerability assessment when chronic toxicity burden is central to decision-making.

Cardiovascular disease causes the largest number of deaths across the world. The weak regenerative ability of adult hearts originates from limited cell proliferation and polyploidization of postnatal cardiomyocytes, which severely hinders tissue repair after myocardial injury. Fetal development represents a critical window during which maternal physiological and metabolic status can shape long-term offspring cardiac structure and function. Maternal exercise represents a safe nonpharmacological prenatal intervention that confers long-term benefits to offspring health. Available evidence indicates that maternal exercise enhances placental apelin secretion and elevates α-ketoglutarate (α-KG) levels in fetal brown adipose tissue, liver, and skeletal muscle. The apelin and α-KG signaling cascade participates in epigenetic regulation and confers protective effects on offspring metabolic health. Independent animal experiments have further validated that supplementation with either apelin or α-KG alleviates myocardial infarction (MI)-induced cardiac injury in adult mice, with α-KG showing direct evidence of reactivating cardiomyocyte proliferation. Nevertheless, it remains poorly elucidated whether maternal exercise could modulate fetal cardiomyocyte proliferative capacity in offspring through apelin- or α-KG-associated signaling. This narrative review integrates current evidence and proposes a testable framework in which maternal exercise influences fetal cardiac growth and regenerative potential through placental, metabolic, and epigenetic signaling. Because direct evidence remains limited, this model should be regarded as a hypothesis that requires further experimental validation.

Abstract Large language models (LLMs) and vision‐language models represent a fundamentally different category of artificial intelligence (AI) compared to prior image analysis approaches in digital pathology, which have largely been based on convolutional neural network architectures. This review from the American Society of Cytopathology Clinical Practice Committee examines the current evidence for LLM and vision‐language model applications in cytopathology, including structured reporting, diagnostic assistance, quality control, education, and workflow integration. The distinction between applications with preliminary evidence and those that remain hypothetical is described. A detailed assessment of the challenges that must be addressed before clinical deployment, including hallucination risk, limited explainability, bias, data privacy, validation gaps, and infrastructure barriers is discussed. A review of the regulatory landscape in the United States and European Union as it applies to AI‐enabled software as a medical device is provided. Recommendations addressing cytopathology‐specific benchmarks, multi‐institutional validation, transparent governance, and incremental deployment beginning with low‐risk applications are suggested. In the current environment, LLMs have the potential to augment cytopathology practice, but responsible adoption requires rigorous validation and sustained collaboration among cytopathologists, AI researchers, and regulatory bodies.

Importance Elevated low-density lipoprotein cholesterol (LDL-C) is a modifiable risk factor for cardiovascular disease, the leading cause of premature death worldwide. Assessing the LDL-C–related burden is critical for guiding prevention and treatment strategies. Objectives To estimate the global, regional, and national burden of ischemic heart disease and ischemic stroke attributable to elevated LDL-C (relative to 35-54 mg/dL) from 1990 to 2023 and to quantify the contributions of population growth, aging, risk-deleted burden, and exposure changes to burden trends. Design, Setting, and Population This comparative risk assessment, part of the Global Burden of Disease Study 2023, estimated population-level LDL-C exposure and associated health loss in 204 countries and territories. Mean LDL-C levels were estimated using spatiotemporal gaussian process regression based on 806 studies across 161 countries. Relative risks were derived from meta-analyses of 38 randomized clinical trials. Population-attributable fractions for deaths and disability-adjusted life-years (DALYs) were estimated by age and sex for adults aged 25 years or older from 1990 to 2023, with 95% uncertainty intervals. Exposure Population-level LDL-C concentrations. Main Outcomes and Measures Population-attributable fractions, counts, and rates (all ages and age standardized per 100 000) of LDL-C–attributable deaths and DALYs from ischemic heart disease and ischemic stroke, with uncertainty intervals. Results In 2023, elevated LDL-C accounted for 3.6 million deaths (95% uncertainty interval, 2.2-5.4 million; 6.0% of global mortality) and 90.7 million DALYs (95% uncertainty interval, 58.9-123.3 million; 3.2% of DALYs). Although global all-ages rates remained stable, age-standardized death and DALY rates decreased by 45.6% and 39.5%, respectively, since 1990. In 2023, age-standardized LDL-C–attributable DALY rates were highest in Eastern Europe and lowest in high-income Asia-Pacific. One-third of the global LDL-C burden occurred in India and China. Population growth and aging drove the increasing burden, with notable regional disparities in LDL-C exposure and risk-deleted DALY rates shifting toward middle-sociodemographic settings. Conclusions and Relevance Despite declining age-standardized rates, the absolute LDL-C burden has increased since 1990 due to demographic changes and has shifted toward middle-sociodemographic countries. Measurement and surveillance gaps persist. Strengthened prevention, diagnosis, and treatment access strategies are essential to mitigate the health burden of LDL-C.

PURPOSE Adherence to operative standards and thorough documentation of surgical technique are critical, particularly in multidisciplinary clinical trials. We sought to evaluate variability in the performance and documentation of oncologically relevant aspects of technical surgery among patients enrolled in Alliance A021501, a phase 2 National Clinical Trials Network randomized clinical trial of neoadjuvant therapy for borderline resectable pancreatic adenocarcinoma. METHODS We reviewed the primary operative and pathology reports of all enrolled patients who underwent complete pancreatic resection. Operative techniques and pathologic end points with potential to influence recurrence and survival were evaluated. RESULTS Fifty-one of 126 study participants (40.5%) underwent complete pancreatectomy. The extent of lymphadenectomy was documented in 36 (70.6%) operative reports, and 5 (9.8%) reports outlined the specific lymph node stations removed. Periadventitial dissection of the superior mesenteric artery was described in 25 of 50 (50.0%) operative reports. Immediate histopathologic analysis of the hepatic duct and pancreatic parenchyma margins was documented in 29 of 50 (58.0%) and 32 of 49 (65.3%) reports, respectively, and presence or absence of residual disease following resection was documented in 9 of 51 (17.6%) reports. Specimen orientation was documented in 19 of 51 (37.3%) pathology reports, and 30 of 49 (61.2%) pathology reports stated the distance between the tumor and final SMA margin. CONCLUSION Even in this rigorously controlled, multicenter, randomized pancreatic cancer clinical trial, performance of key elements of technical surgery was inconsistent, and documentation was incomplete. Standardization of technique and documentation in clinical trials and within clinical practice should be addressed to improve quality assurance and trial interpretability.