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Importance Patients undergoing cardiac surgery with cardiopulmonary bypass often require platelet transfusions for bleeding. Platelets are routinely stored at room temperature (20-24 °C) for up to 5 to 7 days; however, cold storage (1-6 °C) may allow for increased storage duration without loss of hemostatic function. Objective To determine the maximum cold-storage duration, up to 21 days, for which cold-stored platelets (CSPs) are noninferior or superior in hemostatic efficacy to room-temperature platelets (RTPs) when transfused in actively bleeding patients undergoing cardiac surgery with cardiopulmonary bypass. Design, Setting, and Participants A phase 3, multicenter, randomized, partially blinded, adaptive, noninferiority, storage duration–ranging trial conducted in pediatric and adult patients undergoing cardiac surgery with planned cardiopulmonary bypass at 27 sites in the US and Australia from December 2021 to March 2025. Statistical analysis was conducted from September 9 to October 3, 2025. Intervention Patients were randomized 2:1 to receive CSPs with a maximum of 21 days of storage vs RTPs with a maximum of 7 days of storage. Main Outcomes and Measures The primary outcome was a hemostatic efficacy score with values ranging from 1 to 5 and higher values indicating greater bleeding. The noninferiority margin was 1 point. The success criterion was met if at least 1 cold-storage duration of 7 days or more had a posterior probability of noninferiority of at least 97.5%. The secondary outcome was 24-hour chest tube output. Results Of the 1000 patients who underwent platelet transfusion, 989 were included in the primary analysis (650 CSPs and 339 RTPs). The cohort had a mean (SD) age of 42.1 (30.1) years and 67.8% were male. CSPs were noninferior to RTPs for the primary outcome, with a probability of greater than 99.9% for all cold-storage durations. Pooled across storage durations, CSPs had a mean difference from RTPs of 0.09 (95% credible interval, −0.06 to 0.23). Median (IQR) chest tube output at 24 hours (8.9 mL/kg [5.2-15.4] for CSPs vs 8.4 mL/kg [5.5-15.9] for RTPs; difference in medians, 0.4 [95% CI, −1.0 to 1.5]) was not statistically different between study groups. In a post hoc analysis, as all storage durations were noninferior, considering the CSPs as a single group, the hemostatic efficacy score was similar between both groups: mean (SD) of 3.08 (1.15) CSPs vs 2.99 (1.10) RTPs. There were no differences in venous or arterial thrombotic events, transfusion-associated adverse events, acute respiratory distress syndrome, kidney failure, septic shock, and mortality between the study groups, except for increased reexploration rates in the CSP group. Conclusions and Relevance For patients undergoing cardiac surgery, CSPs stored up to 21 days are noninferior to RTPs for the control of active surgical bleeding. Use of CSPs may allow for increased availability of platelets by reducing wastage and shortages and may allow for incorporation of platelets into inventory at locations where platelets cannot be maintained due to the 5- to 7-day shelf life of RTPs. Trial Registration ClinicalTrials.gov Identifier: NCT04834414

This study examines the patient- and hospital-level variation in time to initiation of inpatient management among patients admitted to general medical services.

The NCCN Guidelines for Survivorship offer guidance for health care providers who care for survivors of adult-onset cancer. These guidelines include screening, evaluation, and treatment recommendations for common physical and psychosocial problems resulting from cancer and its treatment and provide a framework for care coordination. They also present guidance for helping cancer survivors to enhance their wellness and maintain a healthy lifestyle. This article summarizes the panel’s current recommendations and recent updates regarding anxiety, depression, distress, and trauma in cancer survivors.

Abstract Incretin‐based therapies, including glucagon‐like peptide‐1 receptor agonists (GLP‐1RA) and dual incretin agonists, are increasingly used for the management of diabetes, obesity, and cardiometabolic disease. Although their systemic benefits are well established, uncertainty remains regarding their safety in patients with neuroendocrine neoplasms (NENs), a biologically heterogeneous group of tumors with diverse molecular profiles. Preclinical studies suggest that GLP‐1 receptor activation may promote tumor growth in select receptor‐expressing models, although receptor expression varies widely across NEN subtypes and is often absent in common tumors such as ileal neuroendocrine tumors. Population‐level and retrospective clinical data have not demonstrated a consistent increase in oncologic risk but are limited by methodological constraints. In this expert consensus statement, the authors synthesize current evidence and provide a practical framework for the use of incretin mimetics in patients with NENs. The authors emphasize individualized risk assessment, shared decision‐making, and multi‐disciplinary collaboration, balancing potential but unquantified oncologic risks against substantial cardiometabolic benefits. Until prospective data are available, careful patient selection, dose optimization, and close clinical and radiologic surveillance remain essential to guide safe and effective use of these agents in this population.

Purpose: To measure the computed tomography (CT) attenuation of acute pulmonary embolism (PE) and establish an upper Hounsfield unit (HU) threshold above which it is unlikely to occur. Materials and Methods: This retrospective study analyzed CT pulmonary angiography (CTPA) exams in patients with acute PE (2018–2023) who had a prior negative CTPA in the preceding 2 weeks. Clot and artifact attenuation were measured on the positive and prior negative CTPA respectively. Analysis of variance with post hoc tests and linear regression analysis were performed to determine the effects of technical and other parameters on clot and artifact attenuation. Results: A total of 60 patients were included, each with 1 record or a pair of CTPA exams, yielding 105 clots and 41 artifacts. Mean attenuation for acute PE was 50±40 HU, and for artifact was 110±146 HU. A threshold of 125 HU achieved 97% (102/105) sensitivity for acute PE below it and the same specificity for artifact above it. Specificity for acute PE below this threshold was 37% (15/41). Subsegmental clots had a lower attenuation than all other clots as a group. Kilovoltage peak (kVp) and proximal vessel attenuation were poor predictors of clot attenuation . Conclusions: Most acute PE demonstrated a CT attenuation ≤125 HU on standard CTPA, an upper threshold higher than previously reported, while artifacts demonstrated both lower and higher attenuation. An attenuation >125 HU on standard CTPA, favoring artifact rather than acute PE, may be a useful adjunct to morphologic differentiation between these entities.

ABSTRACT Background Percutaneous left atrial appendage occlusion (LAAO) is an alternative strategy for stroke prevention in patients with nonvalvular atrial fibrillation (AF) with contraindications to long‐term oral anticoagulation therapy. However, evidence comparing the long‐term outcomes of LAAO with those of direct oral anticoagulants (DOAC) remains limited. Methods A systematic search was conducted across PubMed, Scopus, and the Cochrane databases through April 2026. Co‐primary outcomes were major adverse cardiovascular and cerebrovascular events (MACCE; composite of cardiac death, stroke, or systemic embolism) and net adverse clinical events (NACE; composite of MACCE and non‐procedure‐related bleeding). Secondary endpoints included individual components of co‐primary endpoints, ischemic and hemorrhagic stroke, all‐cause death, major or clinically significant bleeding (procedure + non‐procedure related), and stroke or systemic embolism. The random‐effects model was used to generate risk ratios (RRs) and 95% CIs. Results Four randomized controlled trials comprising 5890 AF patients and a median follow‐up of 3 years were included. There was no significant difference between LAAO and DOAC therapy in the risk of MACCE (RR 1.17; 95%CI 0.96–1.41; I 2 = 0%) or NACE (RR 0.89; 95%CI 0.65–1.24; I 2 = 85%). Both LAAO and DOAC therapy were similar in risk of cardiac death, stroke, systemic embolism, hemorrhagic stroke, ischemic stroke, all‐cause mortality, stroke or systemic embolism, and pericardial effusion. LAAO was associated with a lower risk of non‐procedure‐related bleeding (RR 0.60; 95%CI 0.47–0.76; I 2 = 59%). Conclusion LAAO demonstrated efficacy comparable to DOAC therapy in reducing the risk of MACCE, NACE, and ischemic events, while significantly reducing the risk of non‐procedure‐related bleeding. Our findings support a tailored approach to stroke prevention in AF, wherein LAAO serves as an effective alternative for patients with contraindications to DOAC therapy.

Amyloid-targeting therapies (ATTs), including donanemab and lecanemab, are FDA-approved disease-modifying therapies for Alzheimer’s disease in the mild cognitive impairment or mild dementia stages. Early initiation is important for optimal outcomes. This article summarizes practical strategies for implementing ATTs in clinical practice, focusing on leadership alignment and infrastructure development, as well as patient identification, diagnosis, and monitoring protocols. Key recommendations include establishing appropriate patient tracking systems, infusion and imaging protocols, and interprofessional collaboration. Approaches for systematic patient routing (e.g., hub-and-spoke models, fast-track mechanisms) and biomarker-integrated assessments are critical to facilitating timely diagnosis and treatment. Education for patients, care partners, and clinicians is crucial for managing the risks associated with amyloid-related imaging abnormalities. Successful ATT implementation requires coordinated systems, timely diagnosis, and robust safety monitoring. These measures can enable frameworks for ATT administration to optimize outcomes for patients, care partners, and health systems.

Photodynamic priming (PDP), a fallout of photodynamic therapy, transiently modulates the tumor microenvironment (TME), enhances therapeutic susceptibility, and promotes immunogenic cell death through the release of damage-associated molecular patterns (DAMPs). Pancreatic ductal adenocarcinoma (PDAC) remains non-responsive to current therapies with a desmoplastic and immunosuppressive TME that limits drug delivery and blunts responses to immune checkpoint blockade. We investigated whether PDP could enhance anti-PD1 therapy responses in PDAC using patient-derived organoids (PDOs). PDOs were treated with Visudyne and red light (25, 75, and 100 J/cm²), followed by assessment of cytotoxicity, DAMP expression (HSP60, calreticulin, HMGB1), and transcriptomic changes. Monocyte-derived dendritic cells (mDCs) from healthy donors were cocultured with PDP-treated (25 J/cm 2 ) PDOs, then with matched naïve T cells. mDC and T cell activation markers were analyzed. Pembrolizumab (anti-PD1) was added to PDO-mDC-T cell cocultures to evaluate combined effects on PDO viability and T cell activation. PDP induced dose-dependent cytotoxicity and upregulated DAMPs. Gene profiling in PDOs showed increased IFN-γ , TNF-α , and CXCL12 , with reduced PD-L1 , TGF-β1 , and FOXP1 expression. mDCs exposed to PDP-treated PDOs upregulated CD40, CD86, and MHC-II, driving activation of CD4 + and CD8 + T cells, evidenced by elevated PD1 expression. Addition of pembrolizumab further decreased PDO viability and amplified effector cytokines ( IFN-γ , TNF-α , FASLG , granzyme B, IL-2 , IL-21 ). PDP was associated with modulation of the PDAC TME toward a more immunogenic phenotype by enhancing tumor immunogenicity, activating dendritic cells and T cells, and potentiating PD1 blockade. These findings provide mechanistic support for further preclinical and clinical evaluation of PDP combined with checkpoint inhibition in PDAC.

Summary Background Body composition is recognized as a major determinant of health outcomes, but its multidimensional nature makes clinical adoption challenging. We sought to develop and validate a body composition index (BCI) for all-cause mortality risk assessment, integrating variables of six body composition tissues. Methods We analyzed 28509 consecutive patients undergoing myocardial perfusion imaging with routine low-dose chest CT attenuation correction (CTAC) scans acquired during myocardial perfusion imaging (MPI) at 12 centers across four countries. An artificial intelligence-based BCI was developed in a cohort of 15037 patients’ CTACs by integrating the CT-derived metrics of bone, skeletal muscle, and four adipose tissue compartments, coronary artery calcium score, and basic demographic variables (age, sex, BMI). The performance of BCI for mortality prediction was validated in an internal cohort of 6444 patients and an external cohort of 7028 patients by prognosis, calibration, net benefit, and explainability. Model-based simulation of tissue metrics modification was performed to evaluate estimated mortality risk reduction. Findings During a median of 3.5 (IQR [1.9, 5.1]) years, 4697 (16%) patients died. In the external testing cohort, the BCI demonstrated excellent discrimination for mortality (area under receiver operating characteristic curve 0.78 (95% CI [0.76, 0.79]) and Harrell’s concordance index 0.75 [0.73, 0.76]), calibration, and net benefit overall and across pre-specified subgroups stratified by patient characteristics and imaging protocols. Visceral adipose tissue attenuation was the most influential body composition measure, followed by skeletal muscle volume. Simulated improvement in body composition was associated with significant mortality risk reduction. Interpretation An index combining six body composition measures obtained opportunistically from routine chest CT provides robust mortality risk stratification. By converting complex body composition information into a single interpretable score, the BCI can facilitate clinical implementation of opportunistic CT biomarkers and guide individualized preventive strategies. Funding National Institute of Health Research in context Evidence before this study We searched PubMed and Google Scholar on July 7, 2026 for English language studies using the terms (“mortality prediction” OR “death prediction”) AND (“integrated body composition analysis” OR “body composition metrics integration”) AND (“predictive model” OR “model development”), and identified 41 publications describing predictive models incorporating body composition metrics. Recent advances in artificial intelligence (AI) have enabled increasingly granular quantification of body composition from CT, with multiple tissues and tissue-specific metrics showing independent prognostic value for all-cause mortality (ACM) prediction. However, reported associations of body composition metrics with mortality risk were highly inconsistent or even contradictory across studies. This heterogeneity likely reflected the differences in study design or the inherent complexity of body composition analysis, such as the interaction among variables derived from multiple tissues. Thus, it is difficult to interpret body composition results reliably in clinical practice. We hypothesized that integrating multiple body composition metrics could achieve comprehensive and reliable prediction of mortality across patient populations. Added value of this study In this large international, multicenter longitudinal cohort study of 28509 consecutive patients with suspected or known coronary artery disease (CAD) undergoing myocardial perfusion imaging across 12 sites in four countries, we developed and externally validated an artificial intelligence-based body composition index (BCI) for all-cause mortality prediction. The BCI integrated chest CT-derived metrics of six body composition tissue compartments – bone, skeletal muscle (SM), subcutaneous adipose tissue (SAT), intramuscular adipose tissue (IMAT), visceral adipose tissue (VAT), and epicardial adipose tissue (EAT), together with demographics (age, sex, BMI) and CT-derived coronary artery calcium (CAC) score, all derived automatically from routine low-dose attenuation correction CT scans without additional imaging or laboratory tests. In an external validation cohort of 7028 patients, the BCI achieved robust discrimination for mortality prediction, substantially outperforming a baseline model using demographics and calcium score alone, and exceeded the discriminative performance of prior body composition models. Performance was consistent across subgroups defined by sex, age, body mass index, cardiometabolic risk factors, imaging modality, and acquisition protocol, supporting generalizability across clinical settings. The BCI demonstrated excellent calibration and net clinical benefit. Explainability analysis identified visceral adipose tissue attenuation and skeletal muscle volume as the dominant contributors to mortality risk, offering tissue-specific therapeutic targets that complement generic weight-based metrics. Model-based simulations suggested that improvements in these specific compartments could reduce estimated mortality risk more effectively than equivalent changes in BMI alone, pointing toward precision therapeutic targets beyond weight reduction. Our study improved over previous literatures on body composition-based predictive models in one or more of the following ways: (1) we considered six types of body composition tissues while existing studies considered only three or less tissues, thus significantly higher granularity and improved ability to capture refined tissue interactions; (2) our model was rigorously validated in external sites, showing cross-site generalizability while most previous work lacked external validation; (3) our model achieved significant prediction performance improvement over previous body composition predictive models, offering better clinical outcomes prediction and facilitating the suitability for widespread clinical adoption; (4) our study was conducted with a large multi-center cohort across multiple countries, achieving statistical power and demonstrating reliability towards patients characteristics and imaging acquisition protocols while previous studies involved small single-center cohorts; (5) our model required only CT scans and basic demographics which were widely available in clinical routine while the existing models required dedicated laboratory tests or specialized imaging modalities, enhancing the applicability in routine clinical practice. Implications of all the available evidence BCI offers an explainable and clinically deployable tool for improved prediction of mortality risk from existing chest CT scans. Its use could inform updates to existing risk models, guide precision preventive strategies, and support development of therapeutics targeting specific body composition phenotypes.

Background: Whether robot-assisted cholecystectomy reduces bile duct injury compared with laparoscopic cholecystectomy remains uncertain because prior studies have inadequately accounted for disease severity and have rarely classified injury severity using standardized criteria. This study compared perioperative outcomes after robot-assisted and laparoscopic cholecystectomy across a large healthcare system while adjusting for operative complexity. Study Design: Adults undergoing robot-assisted or laparoscopic cholecystectomy within the Mayo Clinic Enterprise (2014–2025) were retrospectively evaluated. Propensity score weighting adjusted for demographics, surgeon case volume, learning curve, and disease severity using the Tokyo Guidelines and Parkland grading system in patients with acute cholecystitis. The primary outcome was bile duct injury; secondary outcomes included general and procedure-specific complications. Results: Among 23,513 patients (19,998 laparoscopic; 3,515 robotic), robot-assisted cholecystectomy was used more frequently for Parkland grade ≥3 disease. Overall, 227 bile duct injuries occurred (204 laparoscopic; 23 robotic), corresponding to absolute risks of 1.02% and 0.65%, respectively (absolute risk difference −0.37%, 95% CI −0.72% to −0.02%; number needed to treat, 273). Robot-assisted cholecystectomy was associated with lower odds of conversion to open surgery, 30-day readmission, and mortality, shorter hospital stay (β −0.56, 95% CI −0.66 to −0.45; P<0.001), and a 5-minute longer median operative time. In acute cholecystitis, robot-assisted cholecystectomy was associated with lower adjusted odds of bile duct injury (aOR 0.29, 95% CI 0.07–0.78; P=0.011). Conclusions: After adjustment for disease severity and surgeon-related factors, robot-assisted cholecystectomy was associated with lower odds of bile duct injury in acute cholecystitis and improved perioperative outcomes, including shorter hospitalization and lower conversion rates, despite greater use in more complex cases.