Citations

Background: Robotic cholecystectomy use is increasing, but comparisons with laparoscopic cholecystectomy have largely excluded bailout procedures, limiting assessment of difficult acute cholecystitis. We compared bailout use, downstream outcomes, and 1-year costs between approaches. Study Design: This retrospective cohort study used Healthcare Cost and Utilization Project databases from New York and Florida (2012–2021) to identify adults undergoing inpatient, unscheduled robotic or laparoscopic cholecystectomy for acute cholecystitis. Bailout included conversion to open, subtotal cholecystectomy, or cholecystostomy tube placement. Multilevel regression evaluated bailout, and postoperative outcomes were assessed through 1 year. Results: Among 384,617 patients, 4% underwent robotic and 96% laparoscopic cholecystectomy. Robotic cholecystectomy had higher bailout rates (1.7% vs 1.4%; adjusted OR 1.38, 95% CI 1.21-1.58), including higher odds of conversion to open (OR 1.61, 95% CI 1.28-2.03) and subtotal cholecystectomy (OR 2.02, 95% CI 1.68-2.43), but lower odds of cholecystostomy tube placement (OR 0.42, 95% CI 0.28-0.62). Bile duct injury rates were similar (1.6% for both; p=0.998). Among 5,448 patients requiring bailout, robotic cholecystectomy was associated with fewer postoperative endoscopic biliary (3.1% vs 7.7%; p=0.007) and surgical interventions (2.3% vs 7.5%; p=0.002). Median 1-year cumulative costs remained higher with robotic cholecystectomy ($29,702 vs $24,483; p=0.002). Conclusions: Robotic cholecystectomy was associated with marginally higher bailout use and similar bile duct injury rates but fewer downstream interventions after bailout. These potential benefits did not offset higher 1-year costs.

MOGAD is a rare autoimmune encephalomyelitis that shares similar clinical manifestations with other central nervous system demyelinating diseases. However, they must be distinguished due to their distinct pathogenesis and treatment methods. Currently, the clinical diagnosis of MOGAD primarily relies on patients’ clinical manifestations and imaging features, with biomarker application being relatively limited. Meanwhile, research on MOGAD biomarkers has advanced rapidly, with findings mainly focusing on imaging features, antibody titers, nerve cell markers, cytokines, and inflammatory cell ratios. These biomarkers can distinguish among various autoimmune with similar clinical manifestations and exhibit certain specificity. If these biomarker findings are applied to the clinical diagnosis of MOGAD, they could enhance diagnostic accuracy and support earlier and more accurate diagnosis, while providing a scientific basis for evaluating disease progression and prognosis. We discuss the biomarkers and emerging biomarkers of MOGAD, emphasizing the specific changes and aspects that may be applicable to clinical diagnosis and treatment.

Background Irritable bowel syndrome (IBS) is a complex disorder of gut-brain interaction, with heterogeneous symptoms, no available biomarkers and limited pathogenetic insight. Objective To identify genetic risk factors and actionable mechanisms for future clinical translation in IBS. Design We conducted a genome-wide association study (GWAS) meta-analysis of IBS in 2 775 539 individuals from 22 biobanks. IBS genetics was studied across multiple ancestries, different case definitions and symptom-related subtypes. Heritability and genetic correlations with other traits were estimated, and Mendelian randomisation was used to test causal relationships. GWAS data were functionally annotated and fine-mapped to prioritise tissues, cell types, pathways, candidate genes, specific mechanisms and druggable targets. Results Significant heritability was only detected in individuals of European ancestry, with near-identical genetic architecture across case definitions. Genetic correlations with GI, psychiatric and cardiometabolic traits were observed, including causal relationships with triglyceride (TG) levels. Functional annotation of IBS risk loci highlighted cell types and pathways relevant to brain, enteric neuro-glial and cardiometabolic domains, as well as actionable targets like GCKR, a regulator of TG metabolism. Druggability analyses converged on cardiometabolic mechanisms, including TG modulation. IBS polygenic risk scores were derived and showed a significant association with case status in an independent case-control dataset, supporting further evaluation in external population-based and clinically ascertained cohorts. Conclusions This study provides the most comprehensive assessment of IBS genetics to date, demonstrating reproducible polygenic inheritance. We link IBS risk to convergent neurogastrointestinal and novel cardiometabolic mechanisms, highlight specific biological pathways and actionable mechanisms and outline translational opportunities emerging from integrated computational analyses.

Summary Outcomes for high‐risk paediatric classic Hodgkin lymphoma (cHL) improved with the addition of brentuximab vedotin (Bv) to doxorubicin, vincristine, etoposide, prednisone and cyclophosphamide (AVEPC) chemotherapy. We evaluated the prognostic implications of distant extra‐nodal sites contributing to stage IV disease. On AHOD1331 (NCT02166463), patients aged 2–21 years with high‐risk cHL (stage IIB with bulk/IIIB/IVA/IVB) were randomized to 5 cycles of doxorubicin, bleomycin, vincristine, etoposide, prednisone and cyclophosphamide (ABVE‐PC) versus Bv‐AVEPC. Patients with stage IV disease, determined by protocol‐defined and centrally reviewed Positron Emission Tomography ‐ Computed Tomography (PET‐CT), were identified. Baseline characteristics and progression‐free survival (PFS) were compared by pattern of stage IV involvement (lung, bone, bone marrow, multiple sites and others). A total of 340 patients (median age 15 years) with stage IV disease were included. Of these patients, 173 (51%) received ABVE‐PC and 167 (49%) Bv‐AVEPC. PFS was highest with lung‐only involvement (4‐year PFS 88.6%) and lowest with bone marrow‐only involvement (4‐year PFS 71.9%). Compared to ABVE‐PC, Bv‐AVEPC improved PFS among all stage IV patients (hazard ratio [HR] 0.53, 90% confidence interval (CI) 0.33–0.85) and in the lung‐only and bone‐only subgroups. However, no PFS benefit was observed in those with bone marrow‐only involvement. Among paediatric patients with stage IV cHL, Bv‐AVEPC improved PFS across most patterns of stage IV disease, except in those with bone marrow involvement. These results will guide efforts to improve outcomes among children with stage IV cHL.

Background: Integrating machine learning (ML) with population pharmacokinetic (PPK) modeling may improve therapeutic drug monitoring predictions. Methods: Tacrolimus trough concentrations from lung transplant patients were split into a training data set (1151 concentrations in 80 patients) and a testing data set (224 concentrations in 20 patients). A PPK model was developed using NONMEM, followed by the development of 10 ML models to fit individual pharmacokinetic parameters from the PPK model with Bayesian forecasting. The best performing ML model was selected as the final model. Both the final PPK and ML models were compared for prediction performance. A web-based dashboard was established with R-shiny to recommend dosing regimens based on patient data. Results: In the PPK model, postoperative days, hematocrit, aspartate aminotransferase, tacrolimus daily dose, coadministered voriconazole or posaconazole, and the CYP3A5*3 genotype were identified significant covariates on the clearance. The Cubist ML model outperformed the PPK model, showing lower root mean squared error for tacrolimus concentrations in the testing data set. An online web-based precision dosing dashboard was created, accessible at (https://tac-dose-ml.shinyapps.io/shiny/). Conclusions: Integrating ML with PPK modeling could yield superior tacrolimus concentration predictions for lung transplant patients, offering an efficient alternative to Bayesian forecasting. The online dashboard provides rapid, individualized dosing recommendations.

ABSTRACT Background & Aims Metabolic dysfunction‐associated steatotic liver disease (MASLD) is highly prevalent and increasingly recognized as a multisystem cardiometabolic disorder. The global burden, incidence and prognostic implications of coexisting chronic kidney disease (CKD) in MASLD remain uncertain. Methods In this meta‐analysis, we searched MEDLINE and EMBASE from inception through September 25, 2025, for observational studies reporting CKD prevalence and/or incidence among adults (≥ 18 years) with MASLD. The primary outcomes were pooled CKD prevalence, estimated using random‐effects models on the logit scale with the Hartung–Knapp adjustment, and pooled CKD incidence (per 1000 person‐years), estimated using random‐effects models with exact Poisson confidence intervals. Secondary outcomes included all‐cause mortality and cardiovascular, renal and cancer outcomes. Results From 2811 records, 36 observational studies met the inclusion criteria. Twenty‐three studies contributed prevalence estimates (575 615 participants; 56 248 CKD cases) and thirteen studies contributed incidence estimates (27 996 new events). The pooled global CKD prevalence among individuals with MASLD was 15.22% (95% CI 9.69–23.12). The pooled CKD incidence was 22.17 per 1000 person‐years (95% CI 11.44–32.89) in the MASLD population. Hypertension (OR 1.49, 95% CI 1.29–1.72), dyslipidaemia (OR 1.22, 95% CI 1.20–1.24) and diabetes (OR 1.94, 95% CI 1.69–2.22) were associated with higher odds of CKD in the MASLD population. All‐cause mortality rates were 18.28 per 1000 person‐years (95% CI 3.45–33.11) in coexistent MASLD and CKD, more than double those in the MASLD‐only population (7.26 per 1000 person‐years (95% CI 2.97–11.56)). Conclusions Coexistent CKD affects one in seven individuals with MASLD worldwide, conferring a more than two‐fold increased risk of all‐cause mortality compared with individuals with MASLD alone.

Deep brain stimulation (DBS), a cornerstone neurosurgical intervention for advanced Parkinson’s disease, exerts modulatory effects on aberrant basal ganglia circuitry through continuous high-frequency electrical stimulation. This approach yields sustained amelioration of motor symptoms while concurrently reducing the requisite dosage of dopaminergic pharmacotherapy. Nonetheless, DBS still has its limitations: its efficacy on non-motor symptoms remains limited, electrode implantation leads to biological reactions, and it cannot alter the trajectory of disease progression. Embryonic stem cells and induced pluripotent stem cells can be directed to differentiate into functionally mature nigrostriatal dopaminergic neurons, demonstrating the potential for neuronal replacement and neuroprotective effects in preclinical models and early-phase clinical trials. Mesenchymal stem cells and their derived exosomes mitigate neuroinflammation and impede α-synuclein aggregation through neurotrophic support and immunomodulatory mechanisms. This article reviews two core domains that have achieved breakthroughs in the treatment of Parkinson’s disease—DBS and stem cells—and covers their current status and future prospects. First, this review elucidates the therapeutic mechanisms of DBS, including neurotransmitter release regulation and neuroinflammation suppression, while evaluating its long-term efficacy (e.g., the sustainability of motor improvement and advancements in directional stimulation technology) and safety challenges (e.g., cognitive impairment, mood disturbances, and glial scar formation induced by electrode implantation). Second, it provides an in-depth analysis of the differentiation mechanisms of stem cells from different sources (embryonic stem cells, induced pluripotent stem cells, mesenchymal stem cells, etc.), preclinical efficacy validation, and early-phase clinical trial outcomes (e.g., the long-term safety and motor function enhancement observed in the transplantation of induced pluripotent stem cell-derived nigrostriatal dopaminergic progenitor cells). Third, the article addresses the standardization of stem cell therapy protocols, strategies for managing immune rejection, and current international regulatory and ethical frameworks. The core challenges of current Parkinson’s disease treatment paradigms are as follows: DBS shows limited efficacy in improving axial symptoms (e.g., freezing of gait), whereas stem cell transplantation faces issues such as low long-term graft survival and insufficient functional integration. Looking ahead, multidisciplinary integration is essential to promote the synergistic application of DBS and stem cell therapy, develop personalized treatment protocols under the guidance of precision medicine, and translate novel neural interface materials and genetic engineering technologies into clinical practice. Ultimately, such integrated strategies hold the promise of advancing Parkinson’s disease therapy from mere symptom control to true disease modification.