Citations

Background Female sex is associated with lower incidence of myocardial infarction, especially at younger ages. However, sex differences in mortality and coronary artery disease patterns among young patients with ST‐segment–elevation myocardial infarction are not well established. This study evaluated sex differences in in‐hospital and 1‐year all‐cause death and in the extent of coronary artery disease in patients aged ≤45 years with ST‐segment–elevation myocardial infarction. Methods A systematic review (December 9, 2025) was conducted using PubMed, Cochrane, Embase, major cardiology conference proceedings, and ClinicalTrials.gov . Studies comparing sexes for outcomes were included. Non‐English publications, abstracts without full text, and studies published before 2010 were excluded. A random‐effects meta‐analysis was performed, with results presented as relative risks (RR) and 95% CIs. Heterogeneity was assessed using τ and I 2 , risk of bias using the Risk of Bias in Nonrandomized Studies of Interventions tool. The study was registered on the International Prospective Register of Systematic Reviews. Results Eleven studies including 738 029 patients with ST‐segment–elevation myocardial infarction (22% women) were analyzed. Female sex was associated with higher unadjusted in‐hospital (RR, 1.56 [95% CI, 1.40–1.74]; τ=0.04; I 2 =0%) and 1‐year mortality rate (RR, 1.78 [95% CI, 1.50–2.12]; τ=0.00; I 2 =0%). Women more frequently had single‐vessel disease (73% versus 60%; RR, 1.13 [95% CI, 1.03–1.23]; τ=0.07; I 2 =67%), while men had 2‐vessel (23% versus 18%; RR, 0.76 [95% CI, 0.68–0.85]; τ=0.00; I 2 =0%;) and 3‐vessel disease (16% versus 9%; RR, 0.49 [95% CI, 0.27–0.86]; τ=0.41; I 2 =33%). Conclusions In young patients with ST‐segment–elevation myocardial infarction, female sex is associated with higher unadjusted in‐hospital and 1‐year death despite less extensive CAD. Further studies adjusting for comorbidities and standardizing CAD definitions are needed.

PURPOSE Chronic myelomonocytic leukemia (CMML) is a rare myeloid neoplasm characterized by clinical heterogeneity and is associated with poor outcomes. To date, limited molecular information has been incorporated into disease classification and risk stratification. We aimed to integrate genomic features into the clinical decision-making process for CMML. PATIENTS AND METHODS We analyzed a retrospective cohort of 3013 patients with CMML (training set) and a prospective population of 516 patients (validation set). Using an innovative framework for multimodal data analysis, we developed molecular-based disease taxonomy and prognostication. RESULTS Unsupervised clustering identified nine entities with distinct genomic features and outcomes ( P < .001), including splicing machinery, transcription factors, signal transduction and tyrosine kinase pathways aberrations, and high-risk molecular signatures. Notably, 15% of patients showed molecular/clinical overlap with other myeloid neoplasms. We integrated molecular and clinical information to build the international CMML Prognostic Scoring System (iCPSS), incorporating mutations in nine genes together with hematologic parameters and cytogenetic abnormalities. The iCPSS identified five groups with distinct probability of overall and leukemia-free survival in both training and validation cohorts ( P < .001), outperforming existing prognostic models. Importantly, 55% of patients were reassigned to higher or lower risk groups by the iCPSS. Decision analysis demonstrated that iCPSS could refine the optimal timing of allogeneic transplantation at the individual level; compared with conventional prognostic tools, iCPSS-based decision modeling changed transplantation strategy in 31% of cases, resulting in a significant gain-in-life expectancy for eligible patient population ( P < .001). A federated learning platform was implemented to enable continuous, privacy-preserving model update across multiple centers. CONCLUSION Molecular information improves CMML classification and prognostication, supports more effective clinical decision making, and potentially refines the design of clinical trials.

Abstract SWOG 1318 evaluated the feasibility of combining the tyrosine kinase inhibitor (TKI) dasatinib with prednisone and blinatumomab in older patients (pts) with Philadelphia chromosome positive (Ph+) B-acute lymphoblastic leukemia (ALL). Here, we present longer follow up (median follow up 5.6 years) with outcomes, predictors of response, and translational medicine studies. Methods: This trial was activated through the NCTN in January 2014 and closed to accrual in April 2021. Pt eligibility included: age &gt; 65 years, Ph+ ALL, no evidence of central nervous system (CNS) disease, and adequate organ function. Treatment has been previously described (Blood Adv 2023; 7(7): 1279-85). Statistics: Categorical and quantitative endpoints comparisons used Fisher's exact and Wilcoxon tests. Survival endpoints used the Kaplan-Meier method and Cox regression models and were landmarked for post-baseline events as needed (i.e., number of cycles). Translational medicine studies: Single cell ATAC seq (10x genomics) was performed on 9 archived cryopreserved diagnostic samples from patients with &gt; 500,000 cells. All samples successfully completed library preparation, sequencing, and demonstrated adequate blast clusters for analysis. Briefly, cryopreserved cells were thawed, and transposases were introduced into nuclei in single cell suspension and used to generate GEM beads. ATAC seq libraries were prepared per manufacture instructions. Libraries were then sequenced on a 25B flow cell on Novaseq X plus (Illumina). The data were analyzed with cloupe (version 9.0.0). Results: Twenty-four eligible patients were enrolled. The median age was 73 years (range 65-87). All pts had newly diagnosed Ph+ ALL. Seventy-nine percent of pts had additional cytogenetic abnormalities. Twenty-two pts (92%) achieved a complete remission (CR) during dasatinib and prednisone induction therapy. Most sites also monitored patient's blood or bone marrow with real-time quantitative PCR to quantify the BCR-ABL1 transcript for molecular response. Of 19 patients analyzed 17 (89%) were in a major or complete molecular remission at some point after treatment, with at least 12 of these patients achieving complete molecular remission. Three patients remain on maintenance. The median follow up for patients who are alive is 5.6 years (range 4.4-8.3). Five- year OS and DFS estimates are 63% (95% CI: 40-78%) and 64% (95% CI: 40-80%). Two patients relapsed in the CNS. One pt proceeded to allogeneic hematopoietic stem cell transplant (HSCT) and 1 to autologous HSCT. Increased age was associated with a decreased chance of achieving CR as best response (median age in responder group 73.2 years [range 65-82.9]; median age in non-responder group 85.5 [range 83.8-87.3]; p=0.02). Patients with extramedullary disease had shorter DFS (HR 0.22, 95% CI 0.04-1.15, p=0.07). Increased number of cycles of blinatumomab received was associated with a trend towards improved OS (HR 0.66, 95% CI 0.41-1.08, p=0.10). Translational medicine studies for chromatin accessibility in the blast clusters demonstrated improved OS in patients with homogeneous blast clusters (HR 0.42, 95% CI 0.06-3.04, p=0.39), high DUX4 differential accessibility (HR 0.26, 95% CI 0.03-2.55, p=0.25), and ATAC seq data corresponding to decreased chromatin accessibility in HOXA2 (HR 0.09, 95% CI 0.01-1.05. p=0.06). Conclusions: Despite an elderly population, this trial demonstrated impressive outcomes with longer follow-up for patients with Ph+ ALL. The number of cycles of blinatumomab and the presence of extramedullary disease may be important factors in outcome. Translational studies suggest additional markers may be predictors of overall survival, and these will need to be studied on larger scale studies. Decreased chromatin accessibility to HOXA2 was associated with a trend towards improved OS. Additional translational medicine will also be presented at the meeting.

ABSTRACT The microvasculature of peripheral nerve not only is important for the understanding of the development of compression syndromes, but it plays a critical role in the evolution of other nerve pathologies, including, for example, the distribution of intraneural ganglion cysts and lymphoma. We investigated the anatomical course of vessels around the human sciatic nerve and its bifurcation in eight human cadavers. Specifically, the presence of fenestrations on the epineurium and paraneurium's thickness in relation to the intraneural vessels was investigated. The sciatic, tibial, peroneal and sural nerves at the level of the bifurcation are surrounded by different layers, including the epineurium and paraneurial layers. Multiple fenestrations were observed in all membranes surrounding these nerves, which formed openings for the transfer of adipocytes and vessels from one compartment to the neighboring one. The openings were relatively large compared to the size of the vessels. In conclusion, vessels always travel through a natural opening in the paraneurial and epineurium. These vessels are important connections between the extrinsic and intrinsic nerve vasculature. In addition, the fenestration provides an important anatomical explanation for the possibility of transfer of anesthetic agents or different nerve pathologies, including intraneural ganglion cyst and tumors.

OBJECTIVE Extreme subparaneurial ganglion cysts are poorly understood. In Part 1, the authors demonstrated that patterns of distribution in the subparaneurial space are consistent with the principles of the articular theory for intraneural ganglion cysts (INGCs). How a cyst transfers from the subepineurial to the subparaneurial compartment remains to be determined. In this part, the authors provide evidence supporting that cyst transfer occurs at the sciatic nerve bifurcation based on MRI and histological analysis, and introduce the geyser theory as an explanation for the redistribution of cysts. METHODS The authors analyze MR images obtained in patients with extreme subparaneurial cysts as well as newly identified cases of nearly extreme subparaneurial cysts (i.e., cysts visible in the subparaneurial compartment but not to the extreme degree as defined in Part 1) for potential crossover sites. They also analyze histological sections from 10 cadavers around the sciatic nerve bifurcation for the presence of openings in the epineurium and paraneurium. RESULTS MRI studies performed in 8 patients in Part 1 and 8 newly identified examples with nearly extreme subparaneurial INGCs showed evidence to support communication between different compartments at the sciatic nerve bifurcation (subepineurial-to-subparaneurial and subparaneurial-to-neighboring soft tissues). Openings in the epineurium of the common peroneal and tibial nerves at the sciatic nerve bifurcation were consistently found in all 10 cadaver specimens, as were openings in the paraneurium. CONCLUSIONS The authors expand on the evidence to support cyst redistribution at the sciatic nerve bifurcation for INGCs in the knee region. They put forth a logical explanation for the development of a spectrum of extreme INGCs (ranging from a faint amount of cyst around the epineurium [wedding ring sign] to extreme subparaneurial INGCs [owl eyes]) based on principles seen in a geyser. The authors believe that radiological occurrence of crossover can be explained by the presence of fenestrations in both the epineurium and paraneurium at the sciatic nerve bifurcation, allowing cyst crossover in two steps: from the subepineurial to the subparaneurial space ("cross") and between a shared subparaneurial space of different nerves ("over"). Finally, the frequent occurrence of extraneural rupture ("cross-out") is due to cyst transfer into the soft tissue compartment via an opening in the outermost circumneurial layer.

Background The Midclavicle Block achieves balanced methylene blue spread across both anterosuperior and posteroinferior periosteal surfaces in cadavers with intact clavicles. Objective To evaluate the anatomical distribution pattern of the Midclavicle Block in cadaveric specimens with midshaft clavicle fractures, with a focus on periosteal coverage and involvement of the fracture site. Methods An anatomical study was conducted on 10 cadavers (20 clavicular regions). A midshaft clavicle fracture model was created, and the Midclavicle Block technique was applied under ultrasound guidance. A methylene blue solution was injected, and dissections were performed to evaluate dye spread primarily in the deep muscular and the clavicular plane, including the fracture site. Probabilistic maps of dye distribution were generated. Results The anatomical dissection in the deep muscular plane revealed consistent staining of the fracture site in all specimens, along with the subclavius muscle and the clavipectoral fascia, while the pectoralis minor muscle remained unaffected in every case. As the dissection progressed toward the infraclavicular brachial plexus plane, no staining of the plexus was observed, with dye spread restricted to the subclavius muscle and adjacent clavipectoral fascia. The mean staining of the anterosuperior and posteroinferior periosteal surfaces was 55.5% (95% CI: 50.6% to 60.4%) and 53.8% (95% CI: 49.5% to 58.1%), respectively. The highest dye concentration was observed in the middle third of the clavicle, corresponding to the fracture zone. Conclusion The Midclavicle Block resulted in effective periosteal coverage and targeted fracture site staining. Clinical studies are needed to confirm its in vivo efficacy, given the limitations inherent to cadaveric specimens.

AbstractINTRODUCTIONSelf‐reported sex influences brain resilience, but its role in genetic frontotemporal dementia (FTD) remains unclear.METHODSWe analyzed 394 genetic‐FTD patients and 279 controls from the ALLFTD consortium, assessing annual neuropsychological performance and MRI‐based cortical thickness. Clinical characteristics and cortical thickness were compared between sexes. We used the residuals of linear regression models, which predict each participant's cognitive and behavioral performance levels relative to cortical thickness, as a proxy for reserve. We then modeled sex differences in longitudinal trajectories with linear mixed‐effects models.RESULTSSymptomatic females with genetic FTD had lower frontal cortical thickness than males, and the C9orf72 subgroup showed lower‐than‐expected frontal cortical thickness for a given level of executive functioning. Differences in cognitive reserve between sexes peaked near symptom onset but diminished thereafter.DISCUSSIONFemales with genetic FTD showed higher cognitive reserve than males, suggesting that self‐reported sex modulates resilience to frontotemporal neurodegeneration.Highlights Females with genetic FTD showed higher cognitive reserve than males. Those differences were particularly pronounced in the C9orf72 and GRN subgroups. The higher cognitive reserve in females declined as the disease progressed.

AbstractBackgroundAccumulating evidence indicates that biological sex may influence clinical manifestation within the spectrum of frontotemporal lobar degeneration (FTLD), implying differences in cognitive reserve. Nonetheless, investigations into the impact of biological sex during the preclinical and minimally symptomatic stages of FTLD are lacking.MethodWe included 275 mutation carriers (158 females; 127 with C9orf72, 68 with GRN, and 80 with MAPT mutations) and 161 non‐carrier familial controls (97 females) from the ALLFTD Consortium (Staffaroni et al., Nat Medicine 2022). Participants underwent magnetic resonance imaging (MRI; 348 baseline, 338 longitudinal) and neuropsychological evaluations (394 baseline, 507 longitudinal). Behavioral symptoms were characterized with the Revised Self‐Monitoring Scale (RSMS) and the Neuropsychiatric Inventory (NPI severity scores). MRI‐derived regional volume estimates (RVE) were computed. Cognitive measures and RVE were normalized against sex‐matched controls. Cognitive composites (language, executive function, and visuospatial function) were calculated by averaging raw scores for each domain. Clinical characteristics and RVE comparisons were made between male and female participants. We adopted the residuals approach to explore behavioral and cognitive reserve by fitting a linear regression model for executive z‐scores as the response value and age, education, and RVE as explanatory variables.ResultIn mutation carriers, sex was not a significant differentiator in age, education level, disease severity, or mutation frequency. Most mutation carriers (188, 68%) were asymptomatic or mildly symptomatic at baseline. However, female mutation carriers exhibited significantly lower visuospatial performance at baseline (Cohen's d = ‐0.34, 95% CI[‐0.58, ‐0.09], p=.001). This difference remained significant among asymptomatic GRN mutation carriers (Cohen’s d = ‐0.73, 95% CI[‐1.22, ‐0.23], p=0.003) but not in other mutations. Following the residuals approach, female mutation carriers showed higher executive performance than males for the same amount of both frontotemporal and global atrophy as quantified by RVE (Cohen's d=0.45, 95 % CI[0.22, 0.67], p<.001). The observed higher executive reserve in women was particularly pronounced in C9orf72 carriers (Cohen's d=0.77, 95% CI[0.35, 1.20], p<.001) but not significant in GRN (p=0.48) and MAPT carriers (p=0.07). No differences in behavioral reserve reached statistical significance.ConclusionFemale sex might modulate early cognitive performance and confer higher executive reserve in FTLD mutation carriers.

Background. Study of myeloid neoplasms (MN) has been rapidly transformed by genome characterization. Gene mutations have been reported to influence disease phenotype and risk of disease progression, and the evaluation of mutational status can provide valuable insights to improve the decision-making process. In this international study, we evaluated the clinical impact of mutational screening in patients with CMML, which is characterized by significant clinical and genomic heterogeneity, including a substantial proportion of patients with poor outcomes and unmet needs. Currently, only limited molecular information has been incorporated into CMML classification and prognostication. Methods. We retrospectively collected 3182 CMML patients. We used MOSAIC, an AI-based framework for multimodal analysis in rare cancers (PMID: 38875514) to develop innovative, molecular-based tools for classification and prognostication. An independent validation of the results on 516 prospectively collected patients was performed. Results. Bayesian Networs and Hierarchical Dirichlet Processes were used to identify genomic associations and define a CMML molecular classification. We identified 11 clusters with distinct clinical and genomic features, including splicing machinery, signal transduction and tyrosine kinase pathways aberrations, and high-risk molecular signatures (i.e., AML-like and TP53 mutations). Up to 15% of patients showed clear genomic overlap with other MN. Importantly, extensive multi-color flow cytometry on T lymphocytes, NK and myeloid cells (BD FACSymphony A5 Cell Analyzer) revealed specific immunologic and inflammation signatures associated with molecular subgroups. We then integrated molecular and clinical information to build an international CMML Prognostic Scoring System (iCPSS). We assessed the performance of different statistical and AI-based methods; L1-penalized Cox Model resulted as the best performing method. Selected features included hematological parameters (WBC, Hb, PLT and marrow blasts), cytogenetic abnormalities, and mutations in 10 genes (ASXL1, DNMT3A, EZH2, NRAS, RUNX1, SETBP1, STAG2, TET2, TP53, U2AF1). By Bayesian thresholds optimization, we identified 5 risk classes (i.e., very-low, low, intermediate, high and very-high) with median overall survival (OS) ranging from 99 to 9 months (P&lt;.001), and median leukemia-free survival (LFS) ranging from 210 to 18 months (P&lt;.001). iCPSS provided better patient discrimination across all clinical endpoints compared to currently available prognostic tools, with a Concordance Index (CI) for OS of 0.75 versus 0.62-0.64, respectively. Notably, compared to available scoring systems, up to 40% of patients were reassigned to higher or lower risk classes by the iCPSS. External validation on an independent prospective cohort confirmed that the performance of iCPSS is superior to existing prognostic models (CI for OS 0.71 vs 0.54-0.61, respectively) To demonstrate the clinical utility of iCPSS, we focused on 753 patients who underwent allogeneic stem cell transplantation (HSCT). In multivariable analysis, iCPSS stratified the probability of OS post-HSCT (P&lt;.001) and identified groups of patients with different probabilities of disease relapse, ranging from 9% to 62% (P&lt;.001). We employed a clinical- and genomic-based decision support system (PMID: 38723212) to determine the optimal timing of HSCT. Preliminary analyses indicated that higher-risk patients according to iCPSS (i.e., intermediate, high, and very high) benefit from an immediate HSCT strategy. Lower-risk patients (i.e., very low and low) had life expectancy maximized with delayed HSCT. Modeling decision analysis using iCPSS compared to conventional scores, resulted in a change in transplantation policy for a significant proportion of patients (up to 25%). Conclusion. Molecular information significantly improves the classification of CMML patients, providing a basis for refining diagnostic boundaries with other MN and for a more rational inclusion of patients in clinical trials. The iCPSS demonstrated superior performance over currently available scoring systems and improved HSCT decision making process.