Citations

Background With improved cardiac surgical outcomes, attention has shifted to patient-centred outcomes, including cosmetic appearances of surgical scars. Minimally invasive cardiac surgery (MICS) is often promoted for its cosmetic benefits, yet empirical evidence remains limited. This study aimed to systematically evaluate scar-specific outcomes comparing MICS to conventional full median sternotomy (FMS) in adult cardiac surgery. Methods A systematic review and meta-analysis was conducted following PRISMA guidelines. PubMed, Embase, Central, and Scopus were searched from inception to August 2025. Studies comparing MICS to FMS, reporting scar-related patient-reported outcomes, wound complications, or cosmetic satisfaction, were included. The primary outcome was scar assessment using validated instruments. Random-effects models calculated standardised mean differences (SMD) and risk ratios (RR) with 95% confidence intervals. Results Twenty-two studies comprising 3131 patients (1459 MICS, 1672 FMS) met inclusion criteria. MICS demonstrated significantly better scar assessment scores (SMD −0.74, 95% CI −1.27 to −0.22; p < 0.01; I 2 = 88%, six studies), higher patient satisfaction rates (RR 1.42, 95% CI 1.21–1.66; p < 0.001; I 2 = 84%, 12 studies), and reduced wound complications (RR 0.31, 95% CI 0.20–0.47; p < 0.001; I 2 = 0%, nine studies). Only six studies reported validated scar assessment scores, highlighting limited integration of these measures. Substantial heterogeneity was observed due to diverse assessment tools and surgical techniques. Conclusions MICS can offer significant advantages in scar-specific outcomes compared to FMS in carefully selected patient populations. Cosmetic outcomes should be interpreted within the context of overall effectiveness and may support shared decision making only when clinical outcomes between surgical approaches are comparable. The lack of standardised scar assessment protocols and limited reporting of cosmetic outcomes represent critical gaps. Future research should prioritise standardised scar evaluation tools and expand cosmetic outcome reporting across all cardiac surgical procedures.

Background: Epstein–Barr virus (EBV) is a key environmental risk factor for multiple sclerosis (MS), and tonsils and adenoids serve as a primary viral reservoir. This study investigates the potential role of adenotonsillectomy in pediatric-onset multiple sclerosis (POMS) risk and relapse rate. Objectives: POMS participants and controls were recruited from 16 pediatric MS clinics between 1 November 2011 and 1 July 2017. Clinical and demographic information, including history of adenotonsillectomy, EBV serostatus, and HLA-DRB1*15:01:01 status, were collected. Multivariable logistic regression assessed the association between adenotonsillectomy and MS risk. In addition, negative binomial regression offset by follow-up time was used to assess the relationship between adenotonsillectomy and relapse rate in POMS participants with available follow-up data. Results: The case-control analysis included 359 POMS participants and 560 pediatric controls. Individuals with a history of adenotonsillectomy had a 63% increased odds of MS (adjusted odds ratio (OR) = 1.63, 95% confidence interval (CI) = 1.01–2.64, p = 0.046). Among the 239 POMS participants with available follow-up data, adenotonsillectomy was associated with a twofold increase in annualized relapse rate (adjusted incidence rate ratio (IRR) = 2.00, 95% CI = 1.15–3.48, p = 0.013). Conclusions: Prior adenotonsillectomy was associated with increased risk of MS and greater relapse rate in pediatric patients, suggesting a potential interplay between EBV, immune regulation, and MS pathogenesis.

Abstract Complete response (CR) is an important treatment goal in follicular lymphoma (FL). In relapsed or refractory (R/R) FL, CR rates decline, and disease progression accelerates with each treatment line, with particularly poor outcomes in patients with high‐risk features. Odronextamab, a CD20 × CD3 bispecific antibody, demonstrated deep, durable responses and generally manageable safety in R/R FL in the Phase 2 ELM‐2 study (NCT03888105); we present an exploratory analysis in patients who attained a CR. Patients received intravenous odronextamab with step‐up dosing in Cycle 1, 80 mg weekly in Cycles 2–4, then 160 mg once every 2 weeks until disease progression or other protocol‐defined reason for discontinuation. Patients with CR lasting ≥9 months switched to dosing once every 4 weeks. Overall, 73.4% (94/128) of patients attained CR, 93.6% (88/94) by first response assessment (~Week 12). Median time to CR was 2.7 months (range 2.3–7.9). Median duration of CR was 25.1 months (95% confidence interval [CI] 20.5–not evaluable [NE]) overall and 23.7 months (18.2–NE) in patients with high‐risk features. Overall, 79.5% (35/44) of patients who switched to Q4W dosing maintained CR at last assessment. Patients with low/undetectable CD20 expression by immunohistochemistry (<10% CD20 + cells) or RNA sequencing (messenger RNA < 500 transcripts per million) could achieve CR. Median progression‐free survival was 27.8 months (95% CI 23.0–NE) in patients with CR and not reached in those with undetectable circulating tumor DNA at Week 12. Treatment‐emergent adverse events (TEAEs) led to treatment discontinuation in 16.0% of patients with CR; the most common TEAE was cytokine release syndrome (56.4%). This generally manageable safety profile and the sustainability of CRs support odronextamab as a potential long‐term treatment for heavily pretreated R/R FL.

INTRODUCTION: Immunoglobulin G4-related sclerosing cholangitis (IgG4-SC) and primary sclerosing cholangitis (PSC) are cholestatic disorders, which may be difficult to differentiate. Importantly, PSC is an untreatable progressive fibroinflammatory disease, whereas IgG4-SC responds to immunosuppression if recognized in a timely manner. This systematic review and meta-analysis aimed to identify and define the performance of clinical, biochemical, radiographic, and histologic features to differentiate between these 2 diseases. METHODS: A systematic search for comparative studies of IgG4-SC and PSC through November 2023 (with repeat evaluation for interval literature in December 2024) was performed and data extraction performed in duplicate. Pooled proportions, odds ratios, means, and standardized mean differences of pertinent diagnostic features were calculated using random-effects inverse-variance models. RESULTS: We identified 38 studies comparing patients with IgG4-SC and PSC. IgG4-SC patients were more likely to have pancreatic disease ( P < 0.001) but less likely to have inflammatory bowel disease ( P < 0.001) than those with PSC. Serum IgG4 was significantly higher in IgG4-SC ( P < 0.001), as anticipated. Radiographically, IgG4-SC demonstrated long distal strictures ( P = 0.02) and symmetric ductal thickening ( P < 0.001), whereas PSC showed a beaded appearance ( P = 0.038). With the exception of IgG4 staining, histologic features including periductal fibrosis were similar between these entities, although sample size was limited for these features. DISCUSSION: Our meta-analysis shows that IgG4-SC and PSC present with similar clinical and radiographic features and possibly comparable histology. A history of unusual pancreatitis and elevated IgG4 (serum or tissue) prompts assessment for more specific radiographic features which if present warrant a therapeutic treatment trial.

Abstract Introduction Revascularization to prevent limb loss is not feasible or represents a very high risk in a significant proportion of patients with chronic limb-threatening ischaemia (CLTI). No standard definition currently exists to define this population of patients. The aim of this study was to develop a consensus-based, multidomain definition to improve clinical assessment and reporting of studies in people with ‘no option’ (NO) or ‘poor option’ (PO) CLTI. Methods A modified Delphi process was conducted with 164 specialists from 30 countries. Two iterative survey rounds were used to reach consensus, defined as ≥70% agreement with a score of ≥7 on a nine-point scale. Results Some 164 international vascular specialists participated in the study, averaging 19 years of experience. A multidomain framework including arterial disease anatomy, biology, risk, function, and context (ABRFC) achieved 83% consensus. A ‘desert foot’ was defined as the absence of distal arterial revascularization targets on advanced non-invasive imaging, invasive digital subtraction angiography, and at least one failed endovascular revascularization attempt (81.6% agreement). Inadequate autogenous bypass conduit was defined as the lack of usable autologous vein across all four limbs (85% agreement). Patients were classified as NO for revascularization if they present with ‘desert foot’, prohibitive medical risk, a non-functional limb, or in those patients who refused arterial revascularization. PO revascularization patients combined factors such as severe infection, lack of autologous vein, or treatment non-compliance (72.1% agreement). Conclusion This consensus study established a structured, expert-validated definition of no option or poor option for revascularisation of patients with CLTI. The multidomain ABRFC framework provides a foundation for standardized clinical assessment, trial design, and future guideline development.

Abstract To enhance the prediction of traumatic brain injury (mTBI) outcomes, we propose a deep learning approach that integrates brain computed tomography (CT) scans with corresponding synthetic T1-weighted magnetic resonance imaging (T1-MRI). Our method significantly outperforms the prediction using CT scans alone. TRACK-TBI Pilot dataset, which includes imaging and clinical outcome data from patients with TBI, is studied. The hypothesis is brain CT and T1-MRI complement each other and together will improve TBI prognosis compared to using either CT or T1-MRI alone. Since CT and T1-MRI may not be available for the same individual, we employed a specialized version of a generative adversarial network (GAN), known as fixed-point GAN (FP-GAN). FP-GAN was trained using unpaired CT and T1-MRI scans to generate synthetic T1-MRIs from real CT scans. This process produced pseudo-paired CT-MRI data, which was then used to train a deep learning classifier for outcome prediction. The classifier consists of dual parallel 3D ResNet-18 models, each independently processing T1-MRI and CT scans. We used Glasgow Outcome Scale-Extended (GOSE) scores at 3 months post-TBI as the measure of patient outcomes. To avoid data leakage, the subjects used in FP-GAN and ResNet-18 model have no overlap. We further divided the paired data, allocating 69 samples for 5-fold cross-validation and 17 samples for testing. Prognostic performance was evaluated using the area under the receiver operating characteristic curve (AUC), F1-score (the harmonic mean of precision and recall), sensitivity (true positive rate) and specificity (true negative rate). For binary classification, we defined good recovery as GOSE ≥ 7 (positive) and poor recovery (negative) as 3 ≤ GOSE ≤ 6. Accordingly, our training set consists of 24 subjects with poor recovery and 45 subjects with good recovery, while the testing set includes 5 subjects with poor recovery and 12 subjects with good recovery. A DeLong test on AUC confirms that the improvement from incorporating synthetic T1-MRI (AUC = 0.76 ± 0.10) is statistically significant (P &lt; 0.05) compared to using CT alone (AUC = 0.68 ± 0.13). The significant improvement from using the combination of real CT and synthetic T1-MRI in sensitivity (SEN = 0.95 ± 0.07) and overall performance metrics, such as F1-score (F1 = 0.84 ± 0.03), suggests that the proposed approach provides a robust and effective prognostic approach compared to using CT alone (SEN = 0.83 ± 0.18 and F1 = 0.76 ± 0.07). This pilot research demonstrates the potential of a deep learning-based harmonization model to bridge the gap between CT and T1-MRI in TBI assessment. By integrating synthetic T1-MRI with CT, prediction performance is substantially enhanced.

Abstract Aims Monitoring pulmonary congestion in chronic heart failure (HF) reduces decompensation and hospitalization, but conventional methods such as weight and symptom tracking are often unreliable. As fluid accumulation affects the lungs and vocal tract, subtle voice alterations may serve as a non-invasive signal for early detection of worsening HF. Methods and results The Voice Analysis for Monitoring Patients with HF trial (VAMP-HF, NCT06566911) prospectively enrolled 104 patients hospitalized with acute decompensated HF (ADHF) across two academic centres in the USA and Germany. Daily voice recordings were collected from admission to discharge, with breathing features extracted from speech and acoustic features from sustained vowels. A machine-learning model was trained to classify recordings as admission-phase vs. discharge-phase using leave-one-patient-out. Patients with clinical deterioration, insufficient audio quality, or short length of stay were excluded. Seventy-nine patients were included in the final dataset. The model classified admission and discharge with an F1-score of 0.83 (95% CI: 0.77–0.90; AUC = 0.90). In patients with higher audio volume (N = 54), performance reached 0.89 (95% CI: 0.82–0.94; AUC = 0.91). When applied to intermediate hospitalization days, model-predicted scores showed progressive increases from admission towards discharge. Performance remained robust irrespective of significant weight loss during hospitalization. Conclusion In this pilot study, structured voice and breathing analysis discriminated hospitalization phase from admission through discharge in patients with ADHF. This non-invasive approach captured progressive changes during the hospital course and warrants further investigation with concurrent objective congestion markers to establish physiological specificity.

Cellular and molecular heterogeneity in the liver has been increasingly recognized to drive liver fibrosis progression, but the particular events that occur initially in response to liver injury and trigger immune cell recruitment remain unclear. Here, we identify epigenetically aberrant liver sinusoidal endothelial cells (LSECs) as key players in this process. Mechanistically, the epigenetic readers like bromodomain-containing protein 4–dependent (BRD4-dependent) super enhancers (SEs) activate proinflammatory genes, including promyelocytic leukemia (PML). The PML protein, in turn, binds BRD4 and amplifies proinflammatory angiocrine signaling through phase separation–dependent SE activation via PML/BRD4 condensate formation. In mouse models, LSEC-specific depletion of the PML/BRD4 complex mitigates liver inflammation and fibrosis. Single-cell RNA-seq reveals that epigenetically aberrant LSECs exhibit a reprogrammed proinflammatory angiocrine landscape in mouse fibrotic livers. TIMP1 + LSECs promote the recruitment of CD63 + monocyte–derived macrophages (MoMFs) during liver fibrosis progression. Thereby, PML/BRD4 in LSECs governs inflammatory immune cell recruitment in liver fibrosis. Pharmacological BRD4 inhibition or epigenetic PML-SE repression alleviates liver inflammation and fibrosis. In conclusion, PML/BRD4-mediated SE activation via phase separation drives proinflammatory angiocrine signaling in LSECs, initiating the inflammatory cascade and subsequent immune cell recruitment during liver fibrosis.

ABSTRACT Thrombocytopenic purpura (TTP) is a hematologic emergency that may occur with PD‐L1 immunotherapy. New or worsening anemia and thrombocytopenia in patients started on PD‐L1 inhibitors should raise suspicion for TTP and prompt workup for thrombotic microangiopathy.