Citations

ABSTRACT Patients with newly‐diagnosed acute myeloid leukemia (ND‐AML) derive variable survival benefit from venetoclax (Ven) plus hypomethylating agent (HMA) therapy, and the optimal Ven duration across genetic risk groups remains undefined. Among 540 ND‐AML patients receiving Ven‐HMA at Mayo Clinic, outcomes were compared across Ven 7‐ ( n = 33), 14‐ ( n = 117), 21‐ ( n = 96), and 28‐day ( n = 294) schedules during Cycle 1 and stratified by ELN 2024 and Mayo genetic risk groups. At a median follow‐up of 37.7 months, allogeneic stem cell transplant (ASCT) rates were similar across Ven duration groups (15%, 18%, 18%, and 20% for 7‐, 14‐, 21‐, and 28‐day; p = 0.86). Median transplant‐censored survival was comparable across Ven durations (13.3, 11.9, 16.8, and 13.2 months for 7, 14, 21, 28 days, respectively; p = 0.65), with outcomes driven by ELN risk (6.3, 11.5, 18.3 months for high, intermediate, low; p < 0.01) and Mayo genetic risk (6.9, 17.8 months, not reached; p < 0.01). Survival was comparable across Ven durations within ELN intermediate/low‐risk and all Mayo risk groups. Among ELN high‐risk patients, 14‐day Ven was associated with inferior transplant‐censored survival compared to 21‐ and 28‐day schedules ( p < 0.01). Notably, 30‐ and 60‐day mortality were higher with shorter Ven schedules (7‐day: 9%/18%; 14‐day: 7%/15%) versus 28‐day (2%/6%), which likely reflects treatment selection bias. In ND‐AML, no significant difference in transplant‐censored survival was observed across the 7‐, 14‐, 21‐, and 28‐day Ven schedules; prognosis was determined primarily by Mayo and ELN 2024 genetic risk rather than by Ven duration. Prospective trials are needed to establish risk‐adapted Ven dosing strategies.

Objective To compare the diagnostic accuracy of four available automated electronic medical record (EMR) retrieval methods, including a large language model (LLM)-assisted workflow, against manual chart adjudication for identifying cardiovascular events. Design Retrospective diagnostic accuracy study. Setting Three sites within a single US tertiary health system. Participants Two adult cohorts with previously adjudicated cardiovascular outcomes were included. Cohort 1 included 2258 patients treated with immune checkpoint inhibitors, and Cohort 2 included 1426 patients who underwent transcatheter aortic valve replacement. Primary and secondary outcome measures The reference standard was clinician manual chart adjudication. Outcomes included ischaemic stroke or transient ischaemic attack, myocardial infarction (MI), heart failure (HF) exacerbation or hospitalisation and a composite major adverse cardiovascular events (MACE) outcome. Automated retrieval methods included International Classification of Diseases (ICD) codes, primary diagnosis, problem list and a zero-shot LLM workflow. Area under the (receiver operating characteristic) curve (AUC), sensitivity, specificity and net reclassification improvement were assessed. Results In Cohort 1, the LLM achieved the highest AUC for stroke (0.920; 95% CI 0.881 to 0.958), MI (0.938; 95% CI 0.905 to 0.971) and composite MACE (0.880; 95% CI 0.854 to 0.907), whereas ICD-based retrieval had a higher AUC for HF (0.882; 95% CI 0.845 to 0.918 vs 0.873; 95% CI 0.831 to 0.914). In Cohort 2, the LLM achieved the highest AUC for all evaluated outcomes: stroke (0.915; 95% CI 0.862 to 0.968), MI (0.928; 95% CI 0.839 to 1.000), HF (0.844; 95% CI 0.803 to 0.884) and composite MACE (0.862; 95% CI 0.829 to 0.895). In Cohort 1, differences in AUC between the LLM and ICD methods were not statistically significant across outcomes, whereas in Cohort 2 the LLM showed significantly higher AUC for stroke and composite MACE. Conclusion In this multisite retrospective validation study, the LLM-assisted workflow showed strong but context-dependent performance for identifying cardiovascular events from the EMR. Performance varied by outcome and cohort, and ICD-based retrieval remained competitive for some use cases. These findings support a complementary role for LLM-assisted extraction in retrospective cardiovascular outcomes research.

Wearable inertial measurement units (IMUs) offer an accessible alternative to optical motion capture (MoCap) gait analysis, but their performance in Progressive Supranuclear Palsy (PSP) requires validation. We assessed the concurrent validity of IMU-derived versus MoCap-derived gait metrics and static postural sway in 30 patients with PSP using Bland–Altman analysis, Intraclass Correlation Coefficients (ICC), and Spearman rank correlations. Finally, we assessed equivalence using the Two one-sided tests (TOST) procedure. Multivariable linear regression was used to determine whether clinical severity, as measured by the PSP Rating Scale (PSPRS), independently predicted absolute IMU measurement error while controlling for patient age and gait velocity. IMUs demonstrated excellent between-system agreement for parameters such as cadence (100.76 ± 11.42 vs. 100.52 ± 11.59) and cycle time (1.21 ± 0.15 vs. 1.22 ± 0.15; ICC > 0.98), despite a systematic underestimation of gait velocity (p < 0.05). Agreement significantly diminished for micro-phases (e.g., single/double support times) and spatial asymmetry. Interestingly, the TOST procedure revealed that only sagittal and transverse trunk kinematics were equivalent between systems, with all other measures failing to find equivalency. For static sway, the IMU demonstrated strong rank-order correspondence for tracking relative postural instability (ρ = 0.82, p < 0.05). Multivariable analysis revealed that higher PSPRS scores are independently associated with greater between-system discrepancies in support phases and pelvic and trunk kinematics (p < 0.05), irrespective of reduced gait speed. These findings highlight the need to develop disease-specific algorithms, rather than relying on normative commercial models, to establish reliable digital biomarkers for monitoring progressive motor decline.

BACKGROUND: Accurate assessment of left ventricular outflow tract (LVOT) gradients is critical for hypertrophic cardiomyopathy management, yet Doppler-based measurements are technically demanding and require expertise. The objective of this work was to develop a multi-view deep learning model capable of classifying LVOT obstruction (>20 mm Hg) using routine 2-dimensional echocardiographic windows without reliance on Doppler imaging. METHODS: We trained and externally validated a cross-attention-based video-to-video fusion framework that integrated EchoPrime-derived video representations from 3 standard transthoracic echocardiographic views to classify LVOT gradients. RESULTS: Training was performed on a derivation cohort (N=1833) from a tertiary care system in the United States, with model performance evaluated on an internally held-out test set (N=275) and a Korean external validation cohort (N=46). Single-view baselines showed limited discrimination (external area under the receiver operating curves, 0.47–0.70). Conversely, the domain-specific foundational model (EchoPrime) achieved superior single-view performance (area under the receiver operating curves, 0.75–0.80 internal; 0.79–0.83 external), highlighting the importance of echo-specific pretraining and temporal modeling. The proposed multi-view fusion further enhanced predictive performance, with the late fusion model reaching an area under the receiver operating curve of 0.84 on the external cohort with significant population-shift. CONCLUSIONS: These results suggest LVOT physiology is encoded in routine 2-dimensional imaging and can be leveraged for clinically relevant gradient classification without Doppler input. The proposed artificial intelligence-guided strategy demonstrates substantial cost savings compared with the screen-all approach. By integrating complementary spatial-temporal information across multiple views, our approach generalizes robustly across populations and may enable real-time decision support, extend LVOT assessment to portable or resource-limited settings, and complement Doppler-based evaluation for longitudinal hypertrophic cardiomyopathy management.

Background:The development of symptoms or left ventricular dysfunction in severe aortic stenosis (AS) is associated with high morbidity and mortality. While elective transcatheter aortic valve replacement (TAVR) is supported by robust randomized evidence, data on TAVR performed in non-elective settings (urgent, emergent, or salvage) remain limited and heterogeneous. In these settings, outcomes may be influenced more by baseline clinical severity than by procedural factors. This study aimed to systematically evaluate the safety and effectiveness of non-elective TAVR and to compare the associated outcomes with those of elective TAVR.Methods:This systematic review and meta-analysis were conducted in accordance with the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines and registered with PROSPERO. The PubMed, Embase, and Scopus databases were searched for studies published after 2002 evaluating urgent, emergent, or salvage TAVR in adult patients with severe AS. Eligible studies were required to include elective TAVR as a comparator. Outcomes included mortality and major procedural complications. Prespecified era-based analyses and sensitivity analyses excluding studies at critical risk of bias were performed. Risk of bias was assessed using the ROBINS-I tool.Results:A total of 17 observational studies published between 2015 and 2025 were included, comprising 215,141 patients. Compared with elective patients, those undergoing non-elective TAVR had more advanced heart failure, higher NYHA class, greater comorbidity burden, and higher surgical risk scores, whereas baseline echocardiographic severity of AS was similar. Pooled outcomes for non-elective TAVR showed in-hospital, 30-day, and 1-year mortality rates of 5.1%, 12.4%, and 26.7%, respectively. Non-elective TAVR was associated with higher mortality at all time points compared with elective procedures; meanwhile, rates of stroke, vascular complications, and permanent pacemaker implantation were similar, while major bleeding and acute kidney injury were more frequent. Era-based analyses showed a stable relative mortality risk over time.Conclusions:Although non-elective TAVR is associated with worse outcomes than elective procedures, these differences appear to be largely driven by baseline clinical severity rather than by the transcatheter intervention. In unstable patients with severe AS, non-elective TAVR remains the most effective definitive treatment option compared with balloon aortic valvuloplasty or conservative management.The PROSPERO Registration:CRD420251239620, https://www.crd.york.ac.uk/PROSPERO/view/CRD420251239620.

Objective To investigate sex differences in Alzheimer's disease (AD) related pathology among autopsy-confirmed Parkinson's disease (PD) cases. Background AD and PD frequently co-occur in older adults, yet the influence of sex on AD pathology in the context of PD remains unexplored. Methods All subjects were enrolled in the Arizona Study of Aging and Neurodegenerative Disorders (AZSAND) and Brain and Body Donation Program (BBDP) and had annual standardized research clinical assessments by neuropsychologists, subspecialty behavioral and movement disorders neurologists, as well as comprehensive neuropathological examinations after death. Results Among 230 autopsy-confirmed PD cases, females exhibited greater amyloid plaque pathology burden than males, regardless of a co-occurring AD diagnosis. Specifically, females with PD had significantly higher mean cortical total plaque scores (mean 6.5/15 vs. 4.9/15, p = 0.045) and greater CERAD neuritic plaque density (mean 1.7/3 vs. 1.3/3, p = 0.035). Females were also more likely to have a higher cortical plaque burden (plaque total ≥ 5: 56.8% vs. 39.7%, p = 0.015). In multivariable logistic regression models, female subjects showed greater than twice the odds of having an amyloid plaque burden ≥5 compared to males (OR = 2.18; 95% CI = 1.17–4.06; p = 0.014), when controlling for ApoE ε4 status, Lewy body density score, and age at death. Conclusions Female sex is associated with increased amyloid plaque pathology in PD, independent of ApoE ε4 status. These findings highlight a sex-specific vulnerability to AD pathology in PD patients and support the need for sex-informed approaches to reseach in mixed neurodegenerative disease.

Importance Anhydramnios from fetal kidney failure causes lethal pulmonary hypoplasia. Serial amnioinfusions have shown promise in mitigating pulmonary disease from bilateral renal agenesis, but efficacy and safety for other causes of fetal kidney failure are unproven. Objective To assess the efficacy of serial amnioinfusions initiated before 26 weeks’ gestation to mitigate lethal pulmonary hypoplasia in cases of anhydramnios due to fetal kidney failure. Design, Setting, and Participants Prospective, nonrandomized clinical trial conducted at 13 US fetal therapy centers from December 2018 to February 2025. Outcomes for maternal-fetal pairs with anhydramnios before 22 weeks’ gestation due to fetal kidney failure without bilateral renal agenesis are reported; data collection for surviving infants continued until February 13, 2026. Exposure Thirty-two participants underwent serial amnioinfusions with isotonic fluid beginning before 26 weeks’ gestation. Main Outcomes and Measures The primary end point was neonatal survival for 14 days or longer with dialysis access placement. Secondary outcome measures of survival to discharge home and kidney transplant are reported. Results Twenty-nine of 32 participants (91%) had a live birth, with a median (IQR) gestational age at delivery of 34 weeks 1 day (31 weeks 5 days to 34 weeks 6 days). All participants delivered before 37 weeks’ gestation. No unexpected serious maternal adverse events occurred, and the most common maternal complications were preterm prelabor rupture of membranes in 19 participants (56%) and chorioamniotic separation in 10 (29%). The primary outcome occurred in 19 (65.5%) of 29 live-born neonates (95% CI, 45.7%-82.1%). Factors associated with survival to the primary outcome included receiving more amnioinfusions (median [IQR], 14 [9-18] in survivors vs 7 [4-11] in nonsurvivors; P = .01), longer time interval from first amnioinfusion to preterm prelabor rupture of membranes (63.5 [60.5-74.5] days in survivors vs 29.0 [22.0-56.0] days in nonsurvivors; P = .01), gestational age greater than 32 weeks (79% of survivors vs 38% of nonsurvivors; P = .03), and higher birth weight (2029 [1770-2250] g in survivors vs 1635 [1185-1915] g in nonsurvivors; P = .01). Fourteen live-born infants (48%) survived to hospital discharge at a median (IQR) age of 4.7 (3.4-5.7) months. Of the 11 infants surviving to date, 7 (64%) have undergone kidney transplant between ages 2 years to 5 years. Conclusions and Relevance Serial amnioinfusions mitigated lethal pulmonary hypoplasia in neonates with anhydramnios due to fetal kidney failure. Significant neonatal morbidity and mortality independent of early lung function was noted. Factors associated with survival were consistent with the Renal Anhydramnios Fetal Therapy trial’s bilateral renal agenesis cohort, suggesting common mechanistic pathways for mitigating pulmonary hypoplasia. Trial Registration ClinicalTrials.gov Identifier: NCT03101891

Abstract Introduction: Large B-cell lymphoma (LBCL) harboring chromosomal rearrangements (double-hit, DH) or coexpression of MYC and BCL2 (double-expressor, DE) represents biologically aggressive subgroups with inferior clinical outcomes. Oncogene-driven DNA replication stress (ODRS) is a hallmark of MYC and BCL2 dysregulation; however, the DNA damage response (DDR) pathways that sustain replication and cell survival under ODRS remain incompletely defined in DLBCL. Identifying DDR dependencies induced by ODRS may reveal therapeutically actionable vulnerabilities in DH/DE-LBCL. Methods: We studied DH/DE-LBCL cell lines (OCILY1, SUDHL2, DOHH2), non-DH/DE-LBCL cell lines (HT, KARPAS422, HBL1), and benign retinal pigment epithelial (RPE) cells engineered to overexpress MYC and/or BCL2. ODRS and DNA damage were assessed by phosphorylation of RPA (S4/S8, S33) and H2AX histone (γH2AX), respectively, using immunofluorescence, immunohistochemistry, and western blot (WB). Activity of homologous recombination (HR), nonhomologous end-joining (NHEJ), and microhomology-mediated end joining (MMEJ) pathways were quantified with established reporter assays. POLΘ (gene: POLQ) expression, an MMEJ marker, was evaluated by qPCR and WB. DDR activity was assessed using genomic signatures from whole-exome sequencing data of 404 LBCL patients. In vitro sensitivity of LBCL cells to POLΘ and PARP inhibitors was assessed with publicly available small-molecule inhibitors using CellTiterGlo and clonogenic assays, and therapeutic efficacy was validated in a DH-LBCL xenograft model in NRG mice. Results: DH/DE-LBCL cells and primary tumors exhibited increased ODRS and persistent DNA damage compared with non-DH/DE-LBCL models, including accumulation of γH2AX in mitosis. Functional profiling revealed selective upregulation of MMEJ in MYC/BCL2-overexpressing cells, with minimal changes in HR or NHEJ activity. POLQ expression was significantly increased in DH/DE-LBCL cell lines and primary samples, and the ID6 signature (associated with MMEJ activity) was significantly enriched in DH-LBCL tumors compared to non-DH/DE-LBCL tumors. POLΘ inhibition demonstrated greater toxicity in DH/DE-LBCL and in MYC-overexpressing RPE cells compared to non-DH/DE-LBCL and wild-type RPEs. Combined inhibition of POLΘ and PARP resulted in marked synergy in vitro. The therapeutic efficacy of POLΘ inhibition, with the synthetic lethality of concurrent PARP inhibition, was validated in the DH-LBCL xenograft model. Concurrent POLΘ and PARP inhibition with small-molecule inhibitors induced an antitumor effect in vivo, with increased overall survival in mice compared with vehicle- or olaparib-single-agent-treated groups. Conclusions: ODRS in DH/DE-LBCL creates a selective dependence on MMEJ mediated by POLΘ. Therapeutic targeting of POLΘ, alone or in combination with PARP inhibition, exploits this vulnerability and represents a promising strategy for this high-risk LBCL subset. These findings provide a biological rationale for clinical translation of POLΘ-directed therapies in DH/DE-LBCL. Citation Format: Cecilia Ayala-Zambrano, Dongni Yi, Michelle Manske, Kimberly Gwin, Richar Kandasamy, Surendra Dasari, Anne Novak, Shuhei Asada, Xiaosheng Wu, Zhenkun Lou, Thomas Witzig, Jithma Abeykoon. c-MYC/BCL2 induced replication stress drives dependence on POLQ-mediated microhomology-mediated end joining in aggressive large B-cell lymphoma [abstract]. In: Proceedings of the Fifth AACR International Meeting on Advances in Malignant Lymphoma: From Discovery to Clinical Impact; 2026 Jun 24-27; Philadelphia, PA. Philadelphia (PA): AACR; Blood Cancer Discov 2026;7(3_Suppl):Abstract nr A029.

Coronary artery disease (CAD) remains a leading cause of global morbidity and mortality. Accurate diagnosis of ischemia-causing coronary stenoses is essential for guiding revascularization and improving outcomes. Although invasive fractional flow reserve (FFR) remains the gold standard for functional lesion assessment, its use is limited by procedural invasiveness, cost, and complexity. CT-derived FFR (FFRct), based on computational fluid dynamics (CFD), was the first major advance in noninvasive physiological assessment, but its adoption has been hindered by intensive off-site computation and dependence on high-quality imaging. This review summarizes the evolution from invasive FFR to AI-driven functional assessment of coronary lesions. We examine the principles and validation of CFD-based FFRct and then focus on the shift toward artificial intelligence, including both machine learning (ML) and deep learning (DL) approaches. These methods range from models using engineered geometric and plaque features trained on large synthetic datasets to end-to-end systems that learn directly from imaging data. We discuss key validation studies evaluating diagnostic accuracy, prognostic value, and clinical utility, with attention to performance in challenging settings such as intermediate stenoses, heavy calcification, and patients with comorbidities. We also highlight major barriers to widespread adoption, including dependence on input data quality, limited explainability, regulatory hurdles, and integration into clinical workflows. Finally, we outline future directions, including AI-enabled virtual PCI planning, multimodal risk stratification, and broader access to functional cardiac assessment. AI has the potential to transform noninvasive coronary imaging by enabling a single CCTA scan to provide rapid, integrated evaluation of anatomy, plaque characteristics, and physiological significance, supporting more personalized care and better clinical outcomes.