Citations

The conventional workup for suspected early-stage lung cancer requires multiple visits, anesthetics, and procedures. Single anesthetic event lung cancer surgery integrates shape-sensing robotic bronchoscopy, cone-beam CT, rapid on-site cytologic evaluation (ROSE), endobronchial ultrasound staging, lesion localization, and minimally invasive resection into one operative encounter. In this narrative review, we describe the technical components of this pathway, summarize the supporting literature, and offer expert, institution-based troubleshooting guidance for common intraoperative dilemmas. Reported diagnostic yields for shape-sensing robotic bronchoscopy range from 80 to 96%, with approximately 90% concordance between ROSE and final pathology. Published single-institution series report reductions in time from detection to resection of 15–51 days, cost savings of approximately $3000–$10,000, and perioperative outcomes (length of stay 1.8–3.6 days; complication rates comparable to traditional pathways) similar to staged care. The supporting evidence is retrospective and derived from small, single-institution, high-volume referral cohorts; no prospective comparative trials or long-term survival data yet exist. Single anesthetic event lung cancer surgery is therefore best regarded as an emerging, resource-intensive care pathway for carefully selected patients at experienced centers rather than an established standard of care, pending prospective, multicenter validation.

BACKGROUND: It is unknown whether cardiac resynchronization therapy (CRT) improves systemic metabolomic profile by enhancing left ventricular function. The observational cohort study aimed to investigate the effect of CRT on left ventricular ejection fraction (LVEF) and circulating plasma metabolites in patients who had heart failure with reduced LVEF. METHODS: We prospectively screened patients with ischemic cardiomyopathy and nonischemic cardiomyopathy who received CRT with a defibrillator for LVEF ≤35% according to current guidelines. Clinical assessment included echocardiography and device interrogation. Blood samples for metabolomic analysis were collected before CRT and at 6-month follow-up. Plasma was subjected to gas chromatography-mass spectrometry and 1 H nuclear magnetic resonance-based metabolomic analysis. RESULTS: Totally 92 patients were enrolled, with a mean age of 67.3±11.3 years (37.0% female). LVEF was significantly improved from 28.9±7.6% at baseline to 36.0±11.3% at 6 months ( P <0.001) and to 40.1±12.6% at 12 months ( P <0.001). After CRT, 42 metabolite features were significantly decreased compared with the baseline. The ketone bodies, including 3-hydroxybutyrate ( P <0.001) and acetone ( P =0.01), were reduced. A branched-chain amino acid, isoleucine, was also decreased after CRT ( P =0.01). These metabolomic changes were mainly observed in the nonischemic cardiomyopathy group, while the metabolomic profile in the ischemic cardiomyopathy group was characterized by enhanced amino acid oxidation and elevated levels of lactate and pyruvate. The improvement in LVEF positively correlated with the ratio of changes in ketone bodies and isoleucine. CONCLUSIONS: CRT may modulate the systemic plasma metabolomic profile, which correlated with improvement in left ventricular function in patients with severe heart failure with reduced ejection fraction.

ABSTRACT Background Immune checkpoint inhibitors (ICIs) enhance anti‐tumour immunity by modulating immune pathways but can also trigger immune‐related adverse events. We aimed to evaluate the risk of developing coeliac disease (CeD) among patients with malignancy treated with ICIs. Methods Using the TriNetX US Collaborative Network, we identified adults (≥ 18 years) diagnosed with malignancies for which ICIs are routinely used between January 2010 and December 2024 and stratified them by exposure to immune checkpoint inhibitors (nivolumab, pembrolizumab, ipilimumab, atezolizumab, durvalumab, tremelimumab, or avelumab). Patients with pre‐existing celiac disease (CeD) were excluded. Cohorts were propensity score matched for demographics and autoimmune comorbidities. The primary outcome was incident CeD occurring ≥ 90 days after the index event. Adjusted hazard ratios (aHRs) were calculated, with subgroup analyses by age and sex. Statistical significance was defined as p < 0.05. Results After propensity score matching, 158,208 patients were included in each cohort. CeD was diagnosed more frequently among patients exposed to ICIs than among matched controls (0.152% vs. 0.071%; aHR 3.95, 95% CI 3.11–5.03; p < 0.001), corresponding to a number needed to harm (NNH) of 1235. The increased risk persisted across sex and age subgroups, including females (aHR 3.43, 95% CI 2.55–4.62), males (aHR 5.36, 95% CI 3.53–8.12), with the risk being highest among patients older than 60 years (0.14% vs. 0.06%; aHR 4.24, 95% CI 3.17–5.67; p < 0.001). Conclusion In this large real‐world cohort, ICI exposure was associated with nearly a fourfold increase in the risk of being diagnosed with CeD compared with matched controls.

ABSTRACT Background Optimizing access to cost‐effective care in capacity‐constrained health systems is a contemporary imperative. We evaluated whether machine learning (ML) models using patient‐reported data could optimize access for patients requiring surgical care in rhinology clinics, without need for CT imaging. The outcome was defined as any rhinologic surgery within 90 days of initial evaluation. Methods A de‐identified electronic dataset from patients seen at five distinct sites within an integrated healthcare system between 2018 and 2025 was used to train models. Demographic data and 22‐item Sinonasal Outcome Test (SNOT‐22) responses were studied. Models were trained using stratified 5‐fold cross‐validation with an 80% development cohort and validated in a 20% held‐out validation cohort. Hyperparameters were optimized with Optuna. The primary outcome was performance of any rhinologic surgical intervention within 90 days of initial SNOT‐22. Results Data from 35,170 patients were evaluated. Item‐level responses outperformed use of total SNOT‐22 score in the models. Among models, XGBoost demonstrated best discrimination with AUC of 0.70 (95% CI, 0.69–0.71), outperforming logistic regression (0.66), random forest (0.63), and TabNet (0.66) (all p < 0.001). At optimal threshold, XGBoost achieved 66% sensitivity, 64% specificity, 28% PPV, and 90% NPV. Top predictors for surgery were age, nasal blockage, facial pain or pressure, and decreased sense of smell or taste. Validation on the held‐out cohort remained stable (AUC 0.70), with strong discrimination across sites despite surgical rates ranging from 11.5% to 27.4%. Conclusions Demographics and item‐level SNOT‐22 responses were successful in developing an ML model that demonstrated moderate discrimination and high NPV (90%) for performance of surgery within next 90 days. ML models balanced with human oversight may accelerate triage and optimize surgical yield for rhinology clinics.

Abstract The apolipoprotein E ε4 ( APOE4 ) allele is the strongest genetic risk factor for late-onset Alzheimer’s disease (AD), yet the mechanistic underpinnings by which it alters human microglial function remain poorly understood. Here, we utilize CRISPR/Cas9-engineered isogenic human induced pluripotent stem cell-derived microglia-like cells (iMGs) expressing APOE3 or APOE4 to systematically interrogate genotype-dependent effects on microglial proteomes and their secreted extracellular vesicles (EVs) under basal and fibrillar amyloid-β (fAβ)-challenged conditions. Quantitative proteomics revealed that APOE4 iMGs exhibit downregulated RNA processing, impaired phagocytosis, and exacerbated pro-inflammatory signaling, particularly upon fAβ exposure. Functionally, APOE4 iMGs demonstrated increased NF-κB activation, enhanced neuronal apoptosis and tau pathology in 2D and 3D co-culture systems. Interestingly, APOE4 iMGs released greater amount of EVs enriched in proteasomal components over APOE3 iMG. Integrated proteomic analyses further highlighted APOE4 -specific selective packaging of EV cargo linked to neuron-glia communication, inflammatory signaling, and proteostasis dysregulation, suggesting a potent, non-cell-autonomous mechanism driving neuronal damage. Consistently, these APOE4 iMGEVs were preferentially internalized by neurons, leading to disrupted neuronal proteostasis, impaired neuronal firing, and increased tau phosphorylation, particularly under pathological stress. Notably, pharmacologic inhibition of NF-κB in APOE4 iMGs reduced EV cargo-loading of proteasomal molecules and mitigated iMGEV-driven neuronal dysfunction and tau pathology. These findings establish a mechanistic link between APOE4 , dysregulated microglial homeostasis, and microglial EV-mediated propagation of proteostatic dysfunction and neurodegeneration, advancing our understanding of how APOE4 contributes to AD pathogenesis.

Purpose Neutropenic diet (ND) has historically been recommended to reduce infectious complications in patients with cancer. Although its use has declined over the past decade, recent studies, particularly in patients undergoing hematopoietic stem-cell transplantation (HSCT), have renewed concern regarding the safety of a liberalized diet (LD). We performed a meta-analysis of studies comparing ND with LD in patients with cancer. Methods We searched MEDLINE, Embase, and Cochrane databases from inception through January 2026. Comparative studies evaluating ND versus LD in adults or children with cancer were included. Primary outcomes were major infections and bacteremia/fungemia; secondary outcomes were pneumonia, diarrhea, and mortality. Random-effects meta-analyses were performed to calculate pooled relative risks (RRs) with 95% CIs. Results Fifteen studies including 4,320 patients met criteria for analysis. ND was not associated with significant differences in major infections (RR, 1.02 [95% CI, 0.88 to 1.18]; P = .795), bacteremia/fungemia (RR, 0.97 [95% CI, 0.78 to 1.22]; P = .805), pneumonia (RR, 0.98 [95% CI, 0.59 to 1.63]; P = .933), diarrhea (RR, 1.12 [95% CI, 0.96 to 1.31]; P = .159), or mortality (RR, 0.94 [95% CI, 0.77 to 1.15]; P = .632). Sensitivity analyses restricted to randomized controlled trials (RCTs) were consistent. In hematologic malignancy/HSCT studies (9 studies; 1,769 patients), no differences were observed across outcomes. In RCTs limited to these patients (6 studies; 855 patients), ND was associated with lower bacteremia/fungemia risk (RR, 0.67 [95% CI, 0.47 to 0.95]; P = .023), with no differences in other outcomes. Conclusion ND was not associated with reductions in major infections, pneumonia, diarrhea, or mortality compared with LD. These findings do not support routine implementation of ND for patients with short-term neutropenia or lower-risk cancer populations although selected high-risk patients, particularly those undergoing HSCT or experiencing prolonged neutropenia related to hematologic malignancies, may still warrant cautious dietary practices.