Citations

Abstract Stroke thrombi are heterogeneous; their composition influences their mechanical properties, including stiffness, elasticity, and adhesiveness, which in turn affect their response to therapy. Systemic characterization of the thrombi components could help select therapeutic techniques and anticipate outcomes. We conducted a systematic review and meta-analysis to evaluate associations between thrombi composition and angiographic and functional outcomes in acute ischemic stroke (AIS). Up to May 2025, relevant studies were sourced from four databases: PubMed, Web of Science, Scopus, and Embase. We included cohort studies whose populations are patients with AIS in relation to thrombi composition. Thirty-six studies involving 5,462 patients matched our eligibility criteria. Angiographic success (Thrombolysis in Cerebral Infarction ≥ 2b/3) did not differ significantly between red blood cell (RBC)-rich and fibrin-rich thrombi (risk ratio [RR] 1.02, 95% confidence interval [CI] 0.85–1.22; p = 0.84; I 2 = 63.8%; very low certainty). However, thrombi from patients with good angiographic outcomes had a significantly higher RBC content compared to patients with poor outcomes (mean difference = 7.22%, 95% CI 3.31–11.13; p < 0.001; low certainty). No significant difference was observed between RBC-rich and fibrin-rich thrombi regarding functional independence at 90 days (modified Rankin Scale 0–2) (RR = 1.22, 95% CI 0.73–2.05; p = 0.31; low certainty). While RBC-rich thrombi are associated with more favorable angiographic performance, thrombus composition alone does not predict functional outcomes. Stroke outcomes remain multifactorial, dominated by time to reperfusion, collateral circulation, and baseline severity. Preinterventional assessment of clot composition via imaging or biomarkers may support individualized therapy but should complement, not replace, other prognostic determinants.

Background/Objectives: Glioblastoma surveillance after surgery and chemoradiation remains challenging because MRI findings of tumor recurrence can overlap with pseudo-progression, treatment-related effects, and postoperative tissue changes. Methods: We developed a seven-channel postoperative MRI framework using a deep learning transfer method to support non-invasive glioblastoma treatment-effect assessment. The model used T1 contrast-enhanced, FLAIR, T1, RSI-Cell, ADC, T2, and cerebral blood flow volumes from 124 postoperative glioblastoma patients (164 MRI timepoints) as input. Images were processed using a 3D ResNet18 encoder pretrained on 588 postoperative glioma samples and fine-tuned using task-specific classification heads. The cohort comprised 124 patients contributing 164 postoperative MRI timepoints, all acquired at 3T on scanners from a single vendor. Performance was evaluated with nested five-fold cross-validation stratified and assigned at the patient level, so that all timepoints from a given patient fell in one-fold and the training epoch was selected on an inner split rather than on the fold being reported. Because some of the clinical labels were incomplete, the number of evaluable timepoints differed by task (recurrence versus pseudo-progression, 164; MGMT, 99; short-term survival, 139). The whole procedure was repeated under three independent random seeds and results are reported as the mean and standard deviation across seeds. Results: The strongest clinical endpoint was recurrence versus pseudo-progression, where nested cross-validation across three random seeds gave a pooled out-of-fold AUC of 0.935 (SD = 0.014), area under the precision-recall curve of 0.973, balanced accuracy of 0.880, sensitivity of 0.917, and specificity of 0.843. No other endpoint reached reliable discrimination. Radiation decision reached an AUC of 0.658 (SD = 0.039), while MGMT promoter methylation (AUC = 0.532, SD = 0.082) and short-term survival (AUC = 0.514, SD = 0.027) were indistinguishable from chance. Conclusions: In this single-center proof-of-concept study, postoperative MRI successfully distinguished tumor recurrence from pseudo-progression. However, the models did not reliably predict the other three outcomes related to molecular status, treatment planning, and prognosis. Overall, the model learned imaging features specifically associated with recurrence, rather than a more general representation of the tumor that can predict many different clinical outcomes. These findings support technical feasibility for a single endpoint rather than clinical readiness, for which external multi-center validation is required.

Messenger RNA (mRNA) therapeutics have transformed vaccination and protein replacement strategies, yet efforts to improve their performance have focused largely on sequence engineering, nucleotide modification, and delivery vehicles. Here we show that mRNA function can be controlled by rational design of higher-order RNA architectures. We develop self-assembling mRNA origami (mRNA-OG), a class of unimolecular RNA nanostructures that encode protein-coding sequences within higher-order, programmable, and compact nucleic acid architectures. Using computational design and experimental validation, we demonstrate that mRNA-OG folds into well-defined nanostructures while remaining translationally competent in mammalian cells. Although folded mRNA-OG recruits ribosomes comparably to unfolded constructs, it produces lower protein output, indicating that RNA architecture can directly influence translational efficiency. The compact geometry of mRNA-OG also enhances encapsulation by cationic lipid delivery systems, suggesting a structural route to improved cargo packaging. Beyond its effects on translation, mRNA architecture modulates innate immune recognition. In primary human dendritic cells, folded and unfolded mRNA-OG elicit distinct cytokine programs and differential activation of stress-response pathways, including a modest induction of the integrated stress response that is not fully explained by canonical PKR signaling. Our results establish programmable structure as a new design parameter for mRNA therapeutics that can affect its functionality, delivery properties, and immune sensing.

Objective The aim of this study was to compare infection‐related hospitalization risk among patients with nonrenal systemic lupus erythematosus initiating commonly used immunosuppressants. Methods We emulated a target trial using Optum Labs Data Warehouse claims to compare the risk of infection‐related hospitalization among patients initiating azathioprine, belimumab, methotrexate, or mycophenolic acid analogues (MPAAs) between March 2011 and September 2023. We excluded patients with prior lupus nephritis, solid‐organ or bone marrow transplantation, or rituximab/cyclophosphamide exposure. The primary outcome was time to first infection‐related hospitalization using intention‐to‐treat (ITT) and per‐protocol (PP) analyses. We applied inverse probability of treatment weighting to account for baseline covariates and fitted marginal structural Cox models incorporating time‐varying monthly glucocorticoid dose during follow‐up. Results Among 6,168 patients, 24‐month cumulative incidence of infection‐related hospitalization was 10% (95% confidence interval [CI] 8–12) for azathioprine, 8% (95% CI 5–10) for belimumab, 10% (95% CI 8–11) for methotrexate, and 13% (95% CI 10–15) for MPAAs. In ITT analyses, MPAAs had higher risk than belimumab (hazard ratio [HR] 1.55, 95% CI 1.07–2.25) and methotrexate (HR 1.32, 95% CI 1.04–1.68). In PP analyses, azathioprine (HR 2.04, 95% CI 1.01–4.16) and MPAAs (HR 2.27, 95% CI 1.11–4.62) had higher risk compared with belimumab. After accounting for time‐varying monthly glucocorticoid dose, between‐treatment differences were no longer significant. Conclusion Initial differences in the infection‐related hospitalization risk were attenuated after accounting for time‐varying glucocorticoid exposure. These findings highlight glucocorticoid exposure as an important factor associated with serious infection risk while recognizing that postbaseline glucocorticoid use may reflect both evolving disease activity and a pathway through which therapies influence infection risk. image

Introduction Krackow Type II valgus deformity is defined by attenuation of the medial collateral ligament (MCL). However, little quantitative information exists about associated intra-operative MCL laxity. Furthermore, a corollary may exist in varus deformity with associated lateral ligament laxity but is poorly described. Robotic-assisted total knee arthroplasty (raTKA) includes quantitative assessment of intraoperative ligament function. This study evaluated whether increased preoperative medial or lateral radiographic joint space width (JSW) in valgus or varus knees, was associated with increased intraoperative soft tissue laxity of the respective compartment. Methodology Intraoperative data from 348 consecutive raTKAs with 270 varus knees (hip-knee-ankle angle [HKA]<-2°), and 78 valgus knees, (HKA>2°) were retrospectively reviewed. For varus knees, lateral JSW was measured on preoperative, standing anteroposterior radiographs to determine lateral widening (threshold 8.0mm). For valgus knees, medial JSW was evaluated to determine medial widening (threshold 7.0mm). Intraoperative medial and lateral gaps at 0° and 90° had been recorded during manual stress testing. Linear regression was performed to determine associations between intra-operative gaps, radiographic JSW, and HKA. Results 51 varus knees demonstrated lateral widening and 15 valgus knees had medial widening. In varus knees, lateral JSW was positively associated with the lateral extension (β=0.76, P <0.001) and flexion (β=0.74, P <0.001) gaps. Similarly, for valgus knees, medial JSW was positively associated with the medial extension (β=0.75, P <0.001) and flexion (β=0.77, P <0.001) gaps. Conclusion Increased preoperative radiographic JSW of the medial and lateral compartment in valgus and varus knees, predicted increased intraoperative gaps of that compartment, consistent with ligament attenuation.

Introduction Infection following extensor mechanism reconstruction with Marlex mesh is a devastating and limb threatening complication. The purpose of this study was to evaluate whether vancomycin-loaded mesh reduced staphylococcal infection in a murine extensor mechanism reconstruction model with Marlex mesh. Methods Mouse-sized, eight-layer Marlex mesh constructs were fabricated to simulate clinical reconstruction and soaked in a vancomycin solution (50 mg/mL) for in vitro and in vivo testing. Three methicillin-resistant clinical isolates from human periprosthetic knee infections were evaluated: Staphylococcus aureus, Staphylococcus epidermidis , and Staphylococcus lugdunensis. In vitro testing assessed vancomycin loading, mechanical properties, antibacterial activity, and early biofilm inhibition. For in vivo experiments, plain or vancomycin-loaded Marlex meshes were implanted into the murine extensor mechanism and inoculated intraoperatively (5 per group per isolate). Meshes and surrounding tissues were harvested on postoperative day 9 for quantitative culture. Results For all three isolates, vancomycin-loaded Marlex mesh exhibited sustained antibacterial activity for up to 3 days in vitro based on zone of inhibition testing (days 1–3, p < 0.0001 for each isolate). In vitro testing of biofilm inhibition demonstrated significant reduction in biofilm-associated colony-forming units at 6 hours after inoculation and remained low thereafter (p<0.05 for each isolate). In vivo , vancomycin-loaded Marlex mesh reduced bacterial burden on meshes and surrounding tissues by > 3 log₁₀ compared with plain mesh for all three isolates (p<0.01 for both mesh and tissue for all isolates). Conclusion Vancomycin-loaded Marlex mesh provided sustained local antibacterial activity and significantly reduced staphylococcal infection without compromising mechanical properties in a murine extensor mechanism reconstruction model. This approach may represent a promising adjunct to reduce infection risk in extensor mechanism reconstructions with Marlex mesh after total knee arthroplasty.

Introduction: Laryngopharyngeal symptoms (LPS) refer to aerodigestive complaints that may result from the retrograde flow of gastric contents into the upper aerodigestive tract. These symptoms may be under-recognised in populations exposed to mechanical or environmental stressors. Divers may be at increased risk due to factors such as pressure changes and body positioning. This study characterised the prevalence and severity of LPS among divers and identified associated risk factors. Methods: A cross-sectional, anonymous survey was distributed to members of the Divers Alert Network (DAN). Collected data included demographics, diving-related behaviours, medical history, and LPS burden measured using the Reflux Symptom Index (RSI). Results: Of the 309 survey responses analysed, 47.2% were male with a median age of 50.0 years (IQR: 40.0−60.0). Among 291 divers with complete RSI data, 26.1% (95% CI, 21.4–31.5%) had abnormal RSI scores, representing a +16.0 percentage-point increase (95% CI, 11.3%−21.4%) over non-diving population estimates (P &#x0003C; 0.001). In multivariable analysis, female sex (adjusted prevalence rate [aPR] 1.59, 95% CI 1.07–2.37) and gastroesophageal reflux disease (GERD) history (aPR 1.75, 95% CI 1.16–2.65) were independent predictors. Recreational divers had a lower risk (aPR 0.59, 95% CI 0.39–0.90). Approximately 5% of respondents described their symptoms as life-threatening. Conclusions: Divers may represent an under-recognised population at elevated risk for LPS. Female sex and GERD history were associated with greater symptom burden, while recreational diving appeared less provocative compared to technical diving. These findings may have implications for risk stratification and symptom management in the diving community.

Abstract Patients with rare genetic disorders often wait years for a correct diagnosis, highlighting the urgent need for early and efficient triage for those at risk. Electronic health records (EHRs) are rich in useful information, yet the extent to which this data is sufficient to generate prediagnostic signals is uncertain. We trained machine learning models on billing codes and phenotypes extracted from clinical notes and applied these across eight conditions in a longitudinal cohort of roughly 3 million patient records from the Mayo Clinic, seeking early identification of conditions. The number of patients identified early varied by condition, ranging from 10% to 89% at 99% specificity. Median lead times exceeded one year prior to the first diagnostic billing code for most conditions, including Fabry disease (1,408 days), hereditary angioedema (2,755 days), neurofibromatosis type 1 (1,067 days), and hereditary hemorrhagic telangiectasia (2,320 days). We show that ML models trained on EHR data can prioritize patients for clinician review and confirmatory genetic testing and that the integration of diverse phenotypic data sources provides superior predictive value.

Introduction: Scuba diving is a popular sport that carries risks unique to the underwater environment. Paediatric emergency department presentations for scuba diving injuries are incompletely characterised, particularly in comparison with adults. Methods: We retrospectively analysed scuba-related injuries recorded in the National Electronic Injury Surveillance System (NEISS) from 2005–2024. We estimated national paediatric emergency department presentations using NEISS weights and compared injury categories and hospitalisation rates between paediatric and adult patients. Results: We identified 68 paediatric cases, corresponding to an estimated 122 paediatric scuba-related emergency department presentations annually. Trauma was the most common injury category (41.2%), followed by otitis (17.6%) and ear, sinus, ocular, or dental barotrauma (16.2%). Hospitalisation was most common among patients with possible decompression sickness or arterial gas embolism (DCS/AGE) (42.9%) and drowning/aspiration (25.0%). Compared with adults, paediatric patients were less often hospitalised (10.3% vs 21.4%, P = 0.038), more likely to present with traumatic injuries (41.2% vs 26.1%, P = 0.010), and less likely to present with possible DCS/AGE (10.3% vs 25.0%, P = 0.006). Conclusions: Among patients presenting to United States emergency departments with scuba-related injuries, paediatric patients most commonly had trauma, otitis, or ear, sinus, ocular, or dental barotrauma. Paediatric divers were also less likely than adults to experience DCS/AGE injuries and were less likely than adults to require hospitalisation. Our data describes emergency department presentation patterns rather than overall injury risk among paediatric scuba divers.