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Background and aims To validate the applicability of the new histological criteria for autoimmune hepatitis (AIH) proposed by the International AIH Pathology Group (IAIH‐PG) among Chinese patients with AIH and drug‐induced liver injury (DILI). Methods The gold standard for diagnosis relied on clinical response: discontinuing treatment without relapse supported DILI, while relapse or ongoing immunosuppressive treatment confirmed AIH. This two‐centre retrospective cohort study included inpatients with DILI or AIH from January 2002 to March 2023. Cases that underwent liver biopsy were selected according to inclusion and exclusion criteria. The diagnostic performance of the criteria was assessed by an area under the receiver operating characteristic curve (AUROC). Results Out of 69 patients: AIH (41, 59%) and DILI (28, 41%). The accuracy, sensitivity and specificity of the new histological criteria for likely and possible AIH were 70%, 98% and 29%, respectively, with an AUROC of 0.8236 [95% confidence interval (CI): 0.7533–0.8938]. For likely AIH, the accuracy, sensitivity and specificity were 73%, 61% and 89%, respectively, with an AUROC of 0.9177 [95% CI: 0.8757–0.9596]. Moreover, for possible AIH, significant differences were found in serum alanine aminotransferase levels [178.4 (87.0, 435.0) versus 536.5 (206.9, 930.4) U/L] and antinuclear antibody (ANA) ≥1:160 [10 (67%) versus 1 (6%)], as well as in lobular lymphoplasmacytic infiltrate [15 (100%) versus 12 (71%)] and more than mild inflammation [13 (87%)versus 6 (35%)] between AIH and DILI (all P values were <0.05). Conclusion The new histological criteria exhibit good diagnostic efficacy in distinguishing AIH from DILI in China, with high AUROC. Key discriminators include low aminotransferase, ANA ≥1:160, lobular lymphoplasmacytic infiltrate and more than mild inflammation, which may further improve diagnostic accuracy for AIH.

Abstract Background The associations between different types of diabetes, characterized by distinct pathophysiology and genetic architecture, and pancreatic ductal adenocarcinoma (PDAC) risk are not understood. Methods We investigated associations of genetic susceptibility to type 2 diabetes (T2D), 8 T2D mechanistic clusters, type 1 diabetes (T1D), and maturity-onset diabetes of the young (MODY) with PDAC risk. We used genome-wide association study (GWAS) summary-level statistics for T2D (242 283 cases, 1 569 734 controls), T1D (18 942 cases, 501 638 controls), and PDAC (10 244 cases and 360 535 controls) in individuals of European ancestry. Results Two-sample Mendelian randomization (MR) using the Robust Adjusted Profile Score (MR-RAPS) method indicated that genetically predicted T2D was associated with PDAC risk (OR = 1.10; 95% CI = 1.05 to 1.15), particularly the T2D obesity (OR = 1.28; 95% CI = 1.15 to 1.42) and lipodystrophy (OR = 1.25; 95% CI = 1.03 to 1.51) clusters. No association was observed for T1D with PDAC risk (OR = 1.01; 95% CI = 0.99 to 1.02). Pathway/gene-set analysis using the summary-based Adaptive Rank Truncated Product (sARTP) method revealed a significant association between the MODY gene-sets and PDAC risk (P = 1.5 × 10−8), which remained after excluding 20 known PDAC GWAS loci (P = 7.6 × 10−4). HNF1A, FOXA3, and HNF4A were the top contributing genes after excluding the previously identified GWAS loci regions. Conclusions Our results from this genetic association study support that T2D, particularly the obesity and lipodystrophy mechanistic clusters, and MODY genomic susceptibility regions play a role in the etiology of PDAC.

Abstract Background Adolescent and young adult (AYA) patients remain underrepresented in neuro-oncology research. Despite being the second most common primary brain tumor in this population, meningiomas have not been studied using age-specific molecular analyses. DNA methylation-based classification and prognostic tools have transformed meningioma care. This study aimed to evaluate the performance of these tools across age groups. Methods We analyzed 1,568 meningiomas with DNA methylation and clinical data, including 18 pediatric patients (&lt;15 years), 195 AYA patients (15-39 years), and 1,355 adult patients (&gt;39 years). Pediatric and AYA (P/AYA) tumors were combined and compared with adult tumors. The performance of established molecular classifiers and recurrence predictors, as well as differences in chromosomal copy number alterations were compared across age groups. Results While histologic grading was comparable between cohorts, P/AYA tumors displayed significantly fewer aggressive molecular groups and lower frequencies of chromosomal arm losses, including 1p, 6q, and 14q. The adult-trained recurrence predictor failed in the P/AYA population (AUC 0.57), despite similar score distributions. Retraining the model on an age-specific cohort using an identical analytic framework improved performance (AUC 0.79) and enabled effective stratification of progression-free survival (P = 0.00054). Importantly, 1p loss retained prognostic significance within the P/AYA group, supporting its clinical utility. Conclusions Molecular tools developed in adult-dominant cohorts do not generalize to younger patients due to both biological divergence and exclusion from model development. These findings underscore the need for age-specific molecular frameworks and highlight the imperative of including P/AYA populations in precision neuro-oncology research to ensure lifespan-equitable care.

Background: Hip decompression effectively treats early-stage osteonecrosis of the femoral head (ONFH) by slowing disease progression and potentially delaying joint replacement. Biological adjuvants like bone marrow aspirate concentrate (BMAC) and platelet-rich plasma (PRP) support bone regeneration and improve outcomes 1–7 . The present video article demonstrates a simple, coreless hip decompression technique with BMAC and PRP injection for early-stage ONFH. Description: The procedure is performed in the same operating room setting as traditional core decompression, with the patient supine on a radiolucent table for fluoroscopic guidance. One or both legs are draped free for access to the iliac crests. Bone marrow is harvested percutaneously from the anterior superior iliac crest with a trocar needle kit, centrifuged, and prepared for injection. We recommend precoating needles and syringes with 1:1,000 heparin to prevent clotting. The BioCUE System (Zimmer Biomet) is typically utilized for centrifugation. Hip decompression is performed with use of a trocar and cannula (PerFuse System; Zimmer Biomet), with subsequent injection through the cannula into the femoral head. A 0.5-cm skin incision is made. The trocar is placed lateral to the femur and advanced percutaneously through the lateral femoral cortex, with a starting point proximal to the lesser trochanter. The trocar is then advanced along the femoral neck into the necrotic region by performing mallet strikes on the instrument’s strike cap. Anteroposterior and frog-leg lateral views assist in positioning the trocar within the necrotic area. Internal leg rotation, which aligns the patella upward, helps position the trocar horizontally parallel to the floor. Positioning is adjusted using repeated imaging as needed. Once the patient is positioned, the trocar is removed, leaving the cannula in place. With the cannula retracted 1 cm, a 30-mL syringe is utilized to inject BMAC and PRP into the necrotic lesion. Because of sclerotic resistance, substantial pressure is needed, but retraction of the cannula helps. Following injection, the cannula is withdrawn another 1 cm, and demineralized bone matrix is injected to prevent escape of the BMAC. Alternatives: Alternative treatments for ONFH include traditional core decompression with a sliding hip screw drill or an X-REAM device (Stryker), both of which carry a higher risk of fracture because of the larger diameter of the tract and require limited weightbearing postoperatively. Bone-cement injection can stabilize the femoral head but lacks regenerative properties. Core decompression with either BMAC or PRP alone, rather than in combination, also serves as an alternative treatment strategy. Open approaches, like osteotomy, are more invasive, have longer recovery times, and may complicate future hip arthroplasty if unsuccessful. Rationale: This technique enables minimally invasive hip decompression and delivery of adjuvant cell therapy or grafting, typically without the use of power instruments. This approach avoids the risk of injuring the bone due to the heat from power tools, protecting the BMAC injection site. Patients are generally discharged the same day and permitted full weight-bearing immediately, even in bilateral surgeries. Expected Outcomes: Hip decompression for ONFH has shown variable rates of success 8,9 , but adding BMAC or PRP may improve outcomes 1–3 . Houdek et al. reported that among 35 hips treated with decompression plus BMAC and PRP for corticosteroid-induced ONFH, 88% avoided THA at 3 years 2 and 70%, at 7 years 3 . Patients with grade-1 or 2 Kerboul angles had a 90% survivorship rate, underscoring the benefits of BMAC and PRP. Important Tips: Insert the trocar into the lateral cortex, positioned distal to the vastus ridge and proximal to the lesser trochanter, to reduce iatrogenic subtrochanteric fracture risk. Avoid advancing closer than 5 mm to the subchondral cortex to prevent joint-surface disruption or collapse, especially with eccentric lesions. If resistance occurs during injection, retract the cannula a few millimeters laterally to increase delivery space and reduce pressure. Acronyms and Abbreviations: BMAC = bone marrow aspirate concentrate ONFH = osteonecrosis of the femoral head PRP = platelet-rich plasma AP = anteroposterior THA = total hip arthroplasty ARCO = Association Research Circulation Osseous classification MRI = magnetic resonance imaging

BACKGROUND: Although chronic obstructive pulmonary disease (COPD) and heart failure with preserved ejection fraction often coexist with overlapping clinical features, they are usually studied separately. The SPIROMICS HF (Subpopulations and Intermediate Outcome Measures in COPD and Heart Failure Study) is testing hypotheses that new computed tomography emphysema subtypes are associated with specific cardiovascular phenotypes (eg, cor pulmonale , cor pulmonale parvus ), common airway branch variants are associated with right heart dysfunction, and symptomatic tobacco-exposed persons with preserved spirometry have signs of increased left ventricular afterload. METHODS: SPIROMICS is a multicenter observational study of COPD with extensive pulmonary phenotyping of participants with ≥20 pack-years smoking and nonsmoking controls. COPD and COPD severity were defined by standard spirometric criteria and symptomatic tobacco-exposed persons with preserved spirometry by ≥20 pack-years, normal spirometry, and COPD Assessment Test score >10. SPIROMICS HF selected all participants in SPIROMICS visit 5 at major sites. Its comprehensive speckle-tracking echocardiography, which included physiological perturbations of leg raise and low-intensity exercise, was harmonized prospectively with the Multi-Ethnic Study of Atherosclerosis Early Heart Failure and HeartSHARE (Combining Omics, Deep Phenotyping, and Electronic Health Records for Heart Failure Subtypes and Treatment Targets) studies. The cardiopulmonary magnetic resonance imaging protocol with gadolinium administration included myocardial fibrosis sequences, pulmonary angiography, time-resolved 3-dimensional cine magnetic resonance imaging (4-dimensional flow) of venous return, and metronome-paced tachypnea to induce dynamic hyperinflation. Coronary artery calcium was assessed on computed tomography scans. The Kansas City Cardiomyopathy Questionnaire was administered. RESULTS: Of the final sample of 753 participants, 57% had COPD (15% mild, 27% moderate, and 15% severe), 18% had symptomatic tobacco-exposed persons with preserved spirometry, 16% were smoking controls, and 8% were nonsmoking controls. Reproducibility of the main measures from speckle-tracking echocardiography (intraclass correlation coefficient, 0.83–0.99), exercise echocardiography (intraclass correlation coefficient, 0.71–0.99) and magnetic resonance imaging (intraclass correlation coefficient, 0.57–0.99) were good-to-excellent, including in severe COPD. CONCLUSIONS: SPIROMICS HF aims to characterize and understand cardiopulmonary interactions in COPD and COPD-related phenotypes to inform targeted treatments for combined cardiopulmonary failure.

Background: Breast cancer polygenic risk scores (PRS) and traditional risk models (e.g., the Gail model [Gail]) are known to contribute largely independent information, but it is unclear how the overlap varies by ancestry, age, disease type (invasive breast cancer, DCIS), and risk threshold. Methods: In a retrospective case–control study, we evaluated risk prediction performance in 180,398 women (161,849 of European ancestry; 18,549 of Asian ancestry). Odds ratios (ORs) from logistic regression models and the area under the receiver operating characteristic curve (AUC) were estimated. Results: PRS for invasive disease showed a stronger association in younger (<50 years) women (OR = 2.51, AUC = 0.622) than in women ≥ 50 years (OR = 2.06, AUC = 0.653) of European ancestry. PRS performance in Asians was lower (OR range = 1.62–1.64, AUC = 0.551–0.600). Gail performance was modest across groups and poor in younger Asian women (OR = 0.94–0.99, AUC = 0.523–0.533). Age interactions were observed for both PRS (p < 0.001) and Gail (p < 0.001) in Europeans, whereas in Asians, age interaction was observed only for Gail (invasive: p < 0.001; DCIS: p = 0.002). PRS identified more high-risk individuals than Gail in Asian populations, especially ≥50 years, while Gail identified more in Europeans. Overlap between PRS, Gail, and family history was limited at higher thresholds. Calibration analysis, comparing empirical and model-based ROC curves, showed divergence for both PRS and Gail (p < 0.001), which indicates miscalibration. In Europeans, family history and prior biopsies drove Gail discrimination. In younger Asians, age at first live birth was influential. Conclusions: PRS adds value to risk stratification beyond traditional tools, especially in younger women and Asian ancestry populations.

Introduction: Acute respiratory distress syndrome (ARDS) is characterized by pulmonary edema, hypoxia and systemic inflammation. The presence and clinical implications of a high cardiac output state in patients with ARDS remain unknown given the lack of invasive hemodynamic monitoring in most patients with ARDS. Hypothesis: A subset of patients with ARDS will have high output heart failure with high cardiac output and elevated pulmonary capillary wedge pressure (PAWP) representing a unique subphenotype of ARDS. Methods: Patients from the Comparison of Two Fluid-Management Strategies in Acute Lung Injury (FACTT) Trial were stratified according to baseline cardiac output states and filling pressures: HOLHF (high-output with left heart failure) was defined as cardiac index (CI) ≥ 4 L/min/m 2 and PAWP ≥ 15 mmHg; HOnoLHF (high-output without left heart failure) as CI ≥ 4 L/min/m 2 and PAWP < 15 mmHg; and NOHO (non-high-output) as CI < 4 L/min/m 2 . Hemodynamics, oxygenation, metabolic demand (VO 2 ) and clinical outcomes were compared across groups. Results: Of the 399 patients included, high-output states were present in 52% of all patients (Figure 1). High-output cohorts demonstrated higher myocardial workload, lower systemic vascular resistance (SVR), lower pulsatile arterial load, higher VO 2 and more impaired systemic O 2 utilization despite the highest peripheral O 2 delivery compared to NOHO (Table). Among the high-output cohorts, the HOLHF cohort demonstrated higher right ventricular stroke work (25.2 ± 12.1 vs. 20.3 ± 12.3, P<0.001), worse A-a gradient (326.0 ± 136.5 vs. 276.1 ± 114.7, P=0.048) and higher VO 2 (382.3 ± 234.2 vs. 289.8 ± 171.7, P<0.001) compared to HOnoLHF. Increasing cardiac output was individually related to decreasing SVR (r=-0.742, P<0.001) and increasing VO 2 (r=0.565, P<0.001) (Figure 2). When adjusted, both variables remained strongly related to increasing cardiac output (P<0.001). There were no significant differences among the cohorts with respect to refractory hypoxia and mortality. Conclusions: High-output states in ARDS are prevalent and underrecognized. Such states appear to be driven by arterial vasodilatation and heightened VO 2 with additional manifestations of increased myocardial workload and inefficient peripheral utilization with impaired systemic O 2 utilization. Whether specific strategies to mitigate the high output state might improve gas exchange, hypoxia and outcomes in patients with HOLHF and ARDS requires further study.

Background: Long QT syndrome (LQTS) is a potentially lethal cardiac channelopathy that stems primarily from pathogenic variants in KCNQ1 (LQT1), KCNH2 (LQT2), or SCN5A (LQT3) and is characterized by prolongation of the cardiac action potential duration (APD) at the cellular level. Despite current therapeutic options, there is a pressing need for novel, precision medicine-based, effective pharmacological therapies for LQTS, particularly for LQT2 and LQT3. Goal: To develop a high-throughput drug screening platform to identify novel therapeutics for LQTS using induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs). Methods: iPSC-CMs were made for patients with LQT2 (p.G604S) or LQT3 (p.P1332L). Voltage dye assays were performed using a kinetic image cytometer (KIC) in a 96 well format. The APD at 90% repolarization (APD90) was measured in treated/untreated iPSC-CMs. Cyteseer image analysis software was used for optical APD analysis. SCN5A-P1332L iPSC-CMs were treated with 10 uM mexiletine (MEX) as a positive control. 114 compounds from a commercially available library of FDA-approved drugs were tested in triplicate to assess their APD shortening efficacy. Whole-cell patch clamp was used to confirm the lead compound’s effect in KCNH2-G604S iPSC-CMs. Results: MEX significantly shortened the APD90 of SCN5A-P1332L iPSC-CMs by 13% (669 ± 5 to 586 ± 10 ms; p<0.0001; n=50). Of the 114 tested compounds, 6 shortened the APD90 of SCN5A-P1332L iPSC-CMs by greater than 20%. The lead compound shortened the APD90 of SCN5A-P1332L iPSC-CMs by 32% (571 ± 2 ms; n=314, to 387 ± 4 ms; n=80; p<0.0001). All 6 candidate compounds also shortened the APD90 of KCNH2-G604S iPSC-CMs by greater than 20% in KIC screening assays. Whole-cell patch clamp confirmed APD shortening by the lead compound in KCNH2-G604S iPSC-CMs (759 ± 35 ms; n=13, to 599 ± 89 ms; n=9; p<0.03). Conclusion: The high-throughput KIC screen confirmed mexiletine’s APD shortening effects in SCN5A-P1332L iPSC-CMs, validating the assay's potential for efficient, large-scale drug screening. In a pilot screen, we identified 6 novel LQTS drug candidates which shortened the APD90 in SCN5A-P1332L (LQT3) and KCNH2-G604S (LQT2) iPSC-CMs more than mexiletine. The lead compound’s APD shortening effects in KCNH2-G604S iPSC-CMs were confirmed with whole cell patch clamp. The KIC platform offers a robust method for identifying novel QT shortening compounds by enabling reproducible APD measurements in a high-throughput format.

Background: Susceptibility to cardiometabolic diseases (CDs) is shaped by genetic, socio-environmental, and lifestyle factors. We evaluated the associations of disease-specific polysocial risk scores (PSSs)— derived from social determinants of health (SDOH) and lifestyle factors—and genetic risk factors with six CDs, across self-identified race/ethnicity (SIRE) groups in the eMERGE IV cohort. Methods: The six CDs included: atrial fibrillation, coronary heart disease, chronic kidney disease, hyperlipidemia, obesity, and type 2 diabetes. Disease-specific PSSs were developed using machine-learning models based on 65 SDOH and lifestyle factors. Participants were grouped based on their SIRE as Asian, Black, Hispanic/Latino, and White. We evaluated PSS distributions across SIRE groups. Genetic risk was assessed through disease-specific polygenic risk scores (PRSs), monogenic etiologies, and family history (FamHx). High PSS and high PRS were defined as the top 5th percentile. Associations were tested using multivariable logistic regression; model performance was assessed using the C-statistic. Results: Among 20178 participants (50±15 years, 68% female, 40% non-White), the most frequently associated PSS components were physical activity, sleep, self-perceived health, and income. PSS distributions varied across SIRE groups, with Whites having the lowest and Black and Hispanic/Latinos the highest scores for most CDs (Figure 1). All PSSs were significantly associated with their respective CDs, independent of confounders (OR per 1 SD increase: 1.19–2.68; Figure 2-A). No significant interactions were observed between PSSs and PRSs or monogenic etiologies. However, significant interactions were noted between PSSs and FamHx for CKD and obesity. PSS and PRS effects on the odds of CDs were independent (Figure 2-B) and additive (Figure 2-C). Incorporating PSSs into models that included clinical and genetic risk factors improved predictive performance of risk prediction models (Figure 3). Conclusion: PSSs, reflecting socio-environmental and lifestyle disadvantage, varied significantly across SIRE groups and were associated with risk of six CDs, independent of and additive to PRS. Given the substantial variation in socio-environmental and lifestyle risks across SIRE groups, integrating these factors into risk prediction models for CDs may help address health disparities and enhance preventive efforts, especially in marginalized populations.

Background: We investigated the impact of genetic risk factors for coronary heart disease (CHD) -polygenic risk score (PRS), familial hypercholesterolemia (FH), and family history (FamHx)- on CHD risk estimates, across the age spectrum, in two diverse cohorts of US adults -eMERGE IV (eIV) and All of Us (AoU). Methods: CHD was defined as myocardial infarction, unstable angina, and coronary revascularization. Self-identified race/ethnicity (SIRE) was used as a population descriptor. We calculated a PRS for CHD (PRS CHD , PGS004698), ascertained FH as the presence of pathogenic/likely pathogenic variants in FH genes, and defined FamHx as early-onset CHD in first-degree relatives. We employed Pooled Cohort Equations (PCE) to estimate the 10y risk of CHD for adults ≥40y and modeled the association of conventional risk factors with CHD in adults <40y. AoU served as the training set, and eIV as the testing set. We analyzed the impact of PRS CHD and FamHx on CHD risk estimates by a) using multivariable logistic regression and Cox proportional hazard models, assessing discrimination and the extent of risk reclassification; and b) net benefit analysis and decision curves to assess the performance of prediction models across actionable thresholds. Results: We analyzed data for 19348 participants from eIV (age 50±15, 68% female, 41% non-White) and 239645 participants from AoU (age 55±17, 61% female, 48% non-White). Genetic risk factors were significantly associated with CHD. PRS CHD performance varied by SIRE groups, while FamHx was consistent. The effects of PRS CHD and FamHx on CHD were independent and additive (Figure 1). In adults ≥40y, incorporating PRS CHD and FamHx into PCE improved discrimination (C-statistic increased from 0.719 to 0.753; P -diff=9.1×10 -3 , Figure 2) and reclassified risk in 19% and 20% of participants at the 7.5% and 10% 10y CHD risk thresholds, respectively. Between the 7.5% and 10% 10y CHD risk thresholds, incorporating PRS CHD and FamHx into the PCE improved the net benefit of the risk prediction models across White, Black, and Hispanic/Latino groups (Figure 3). Conclusion: PRS CHD and FamHx were independently and additively associated with CHD in two large diverse cohorts in the US. Incorporating PRS CHD and FamHx into PCE improved risk discrimination, reclassified risk in a significant portion of participants, and improved net benefit of the PCE across all three major SIRE groups, motivating the addition of these factors to clinical risk calculators.