Citations

Small proximal pole scaphoid nonunions are challenging to treat. We describe a technique for replacing the proximal pole fragment with an osteochondral autograft transplant harvested from the ipsilateral femoral trochlea. This is indicated in nonunions where the proximal pole fragment is smaller than the scaphoid isthmus; the scapholunate ligament complex is intact on the distal fragment, and in nonunions without dorsal intercalated segment instability and radiocarpal arthritis. The osteochondral autograft transplant is press-fitted into the distal scaphoid and does not require implants for osteointegration. This provides an advantage during revision surgery of previously fixed proximal scaphoid fractures that are not united with an implant in situ.

BACKGROUND: Exercise-induced hypertension (EIH) is common in adults with coarctation of the aorta (COA), but there are limited data about hemodynamics and outcomes in such patients. The purpose of this study was to assess changes in arterial load during exercise in patients with COA with versus without EIH, and the relationship to clinical outcomes. METHODS: We compared Doppler-derived arterial load indices (effective arterial elastance index, total arterial compliance index, systemic vascular resistance index), and clinical indices of disease severity (pulmonary congestion, aerobic capacity, and cardiovascular biomarkers) between adults with repaired COA and healthy controls. EIH was defined as systolic blood pressure (BP) at peak exercise >210 mm Hg in men or >190 mm Hg in women. RESULTS: In this prospective cohort study, we assessed patients with COA (n=41, age 43±14 years, 26 [63%] men) and healthy controls (n=41). Although both groups had similar resting systolic BP, the COA group had higher Doppler-derived arterial load indices at rest, as well as a greater rise in systolic BP and Doppler-derived arterial load indices at each stage of exercise, leading to a higher prevalence of EIH in the COA group (37% versus 10%; P =0.004). Compared with patients with COA without EIH (n=26, 63%), those with EIH had higher arterial load at rest and during exercise, as well as worse cardiac dysfunction, pulmonary congestion, and biomarkers of cardiovascular remodeling, despite no significant differences in resting systolic BP. CONCLUSIONS: BP assessment during exercise can improve risk stratification and identify patients who may benefit from intensification of medical therapy.

Abstract Clonal hematopoiesis (CH) is characterized by expanding blood cell clones carrying somatic mutations in healthy aged individuals and is associated with various age-related diseases and all-cause mortality. While CH mutations affect diverse genes associated with myeloid malignancies, their mechanisms of expansion and disease associations remain poorly understood. We investigate the relationship between clonal fitness and clinical outcomes by integrating data from three longitudinal aging cohorts (n=713, observations=2,341). We demonstrate pathway-specific fitness advantage and clonal composition influence clonal dynamics. Further, the timing of mutation acquisition is necessary to determine the extent of clonal expansion reached during the host individual’s lifetime. We introduce MACS120, a metric combining mutation context, timing, and variant fitness to predict future clonal growth, outperforming traditional variant allele frequency measurements in predicting clinical outcomes. Our unified analytical framework enables standardized clonal dynamics inference across cohorts, advancing our ability to predict and potentially intervene in CH-related pathologies.

ImportanceAcute promyelocytic leukemia (APL) is an acute illness that presents with cytopenia, infections, and disseminated intravascular coagulation. Achieving remission has been shown to make a major difference in patient outcomes; however, early death rates in the first month have been as high as 30% due to acute presentation, comorbidities, the rarity of APL, and clinician inexperience.ObjectiveTo develop treatment strategies that would decrease estimated 1-month mortality from 30% to below 15%.Design, Setting, and ParticipantsIn this nonrandomized clinical trial, a treatment algorithm that focused on supportive care was used to prevent early death in patients with APL treated at academic and community health centers between August 2017 and July 2021. Because of the rarity of the disease, expert support was available 24/7 from 7 designated APL experts at 6 participating academic lead centers, and included an additional 293 community centers. When a patient presented with APL, an expert was contacted and a consensus treatment plan was developed using the algorithm and expert suggestions. There were no exclusion criteria and all patients with a confirmed diagnosis of APL regardless of age or comorbid conditions were enrolled. Expert support was provided throughout induction. Initial data analysis was conducted May 2023.Main Outcomes and MeasuresOne-month mortality; additional objectives were to compare outcomes in academic and community centers and assess 1-year and overall survival.ResultsA total of 201 patients were enrolled from 43 centers; 62 at lead centers and 139 from 37 community centers. The median age was 53 years (range, 18-91 years), with 72 patients (35.8%) who were aged 60 years or older; 105 patients (52.2%) were male. Fifty-two patients (26.4%) were diagnosed with high-risk APL. The 1-month mortality rate was 6 deaths of 201 patients (3.0%; 95% CI, 1.1%-6.4%) after adjusting for 1 interim analysis. In a secondary analysis using the Kaplan-Meier method, the 1-month overall survival (OS) rate was 97.0% (95% CI, 93.5%-98.6%) and the 1-year OS rate was 94.5% (95% CI, 90.3%-96.9%).Conclusions and RelevanceIn this nonrandomized clinical trial, use of an algorithm combined with expert support resulted in a dramatic decrease in early death in academic and community centers. Population-wide survival improved in this highly curable disease, which suggests that implementing an accessible support system with APL experts for comanagement is the most logical next step.Trial RegistrationClinicalTrials.gov Identifier: NCT03253848

Abstract Background: Ovarian high-grade serous carcinomas (HGSC) comprise four distinct molecular subtypes based on mRNA expression patterns, with differential survival. Understanding risk factor associations is important to elucidate the etiology of HGSC. We investigated associations between different epidemiologic risk factors and HGSC molecular subtypes. Methods: We pooled data from 11 case–control studies with epidemiologic and tumor gene expression data from custom NanoString CodeSets developed through a collaboration within the Ovarian Tumor Tissue Analysis consortium. The PrOTYPE-validated NanoString-based 55-gene classifier was used to assign HGSC gene expression subtypes. We examined associations between epidemiologic factors and HGSC subtypes in 2,070 cases and 16,633 controls using multivariable-adjusted polytomous regression models. Results: Among the 2,070 HGSC cases, 556 (27%) were classified as C1.MES, 340 (16%) as C5.PRO, 538 (26%) as C2.IMM, and 636 (31%) as C4.DIF. The key factors, including oral contraceptive use, parity, breastfeeding, and family history of ovarian cancer, were similarly associated with all subtypes. Heterogeneity was observed for several factors. Former smoking [OR = 1.25; 95% confidence interval (CI) = 1.03, 1.51] and genital powder use (OR = 1.42; 95% CI = 1.08, 1.86) were uniquely associated with C2.IMM. History of endometriosis was associated with C5.PRO (OR = 1.46; 95% CI = 0.98, 2.16) and C4.DIF (OR = 1.27; 95% CI = 0.94, 1.71) only. Family history of breast cancer (OR = 1.44; 95% CI = 1.16, 1.78) and current smoking (OR = 1.40; 95% CI = 1.11, 1.76) were associated with C4.DIF only. Conclusions: This study observed heterogeneous associations of epidemiologic and modifiable factors with HGSC molecular subtypes. Impact: The different patterns of associations may provide key information about the etiology of the four subtypes.

ABSTRACT Advancements in transmission electron microscopy (TEM) have enabled in-depth studies of biological specimens, offering new avenues to large-scale imaging experiments with subcellular resolution. Mitochondrial structure is of growing interest in cancer biology due to its crucial role in regulating the multi-faceted functions of mitochondria. We and others have established the crucial role of mitochondria in triple-negative breast cancer (TNBC), an aggressive subtype of breast cancer with limited therapeutic options. Building upon our previous work demonstrating the functional role of mitochondrial structure dynamics in the metabolic adaptations and survival of chemotherapy-refractory TNBC cells, we sought to extend those findings to a large-scale analysis of transmission electron micrographs. Here we present a novel U-Net artificial intelligence (AI) model for automatic annotation and assessment of mitochondrial morphology and feature quantification. Our model is trained on 11,039 manually annotated mitochondria across 125 micrographs derived from a variety of orthotopic patient-derived xenograft (PDX) mouse model tumors and adherent cell cultures. The model achieves an F1 score of 0.85 on test micrographs at the pixel level. To validate the ability of our model to detect expected mitochondrial structural changes, we utilized micrographs from mouse primary skeletal muscle cells genetically modified to lack Dynamin-related protein 1 (Drp1). We subjected in vitro and in vivo TNBC models to conventional chemotherapy treatments commonly used for clinical management of TNBC, including doxorubicin, carboplatin, paclitaxel, and docetaxel (DTX). We found substantial within-sample heterogeneity of mitochondrial structure in both in vitro and in vivo TNBC models. In four of five PDX models, in vivo treatment with DTX elicited significant alteration in mitochondrial elongation and/or area. We went on to compare mammary tumors and matched lung metastases in a highly metastatic PDX model of TNBC, uncovering significant increase in mitochondrial elongation in metastatic lesions compared to their matched primary mammary tumor. The successful application of our AI model to capture mitochondrial structure marks a step forward in high-throughput analysis of mitochondrial structures, enhancing our understanding of how morphological changes may relate to chemotherapy efficacy and mechanism of action. Our large, manually curated electron micrograph dataset - now publicly available - serves as a unique resource for developing, benchmarking, and applying computational models, while further advancing investigations into mitochondrial morphology and its impact on breast cancer biology. This study provides proof of concept that mitochondrial structural remodeling is an additional layer of cellular reprogramming accompanying therapeutic resistance TNBC that merits further investigation.

Background: Carpal tunnel syndrome (CTS) is the most common peripheral nerve entrapment syndrome. The thread carpal tunnel release (TCTR) is an incision-less ultrasound-guided approach to divide the transverse carpal ligament. This retrospective case series aims to identify and assess the bleeding risks associated with continuing anticoagulation or antiplatelet therapy during TCTR. Methods: Retrospective chart review with follow-up questionnaires/surveys. One hundred and fourteen adult patients who were using antiplatelet or anticoagulation medication underwent 164 TCTR procedures during 2018 to 2023 at a single institution (tertiary care hospital) from June 29, 2018, and August 11, 2023. A chart review was performed to identify patients on antiplatelets or anticoagulants at the time of the procedure and to determine if there were any adverse events associated with continuing or holding their antiplatelet or anticoagulant therapy. Results: There were no significant complications associated with continuing or holding anticoagulation or antiplatelet therapy during TCTR. Conclusions: Continuing antiplatelet therapy during TCTR appears safe. The decision to continue antiplatelet or anticoagulation therapy should be made on a case-by-case basis.

Abstract Context Lipodystrophy syndromes are rare disorders characterized by deficient adipose tissue, leading to insulin resistance, dyslipidemia, and organ system abnormalities. Objective Our goal was to develop a lipodystrophy severity score (LDS) to holistically capture the diverse manifestations of lipodystrophy into a numerical score to aid in prediction of clinical outcomes and/or treatment impact. Design An 8-domain LDS was developed by 8 disease experts in consultation with patient organizations. The LDS was rated for feasibility and content validity by 28 additional clinicians and 9 patient representatives. LDS was compared to the Clinical Global Impression (CGI) of severity for 20 putative patient profiles, each at 2 different time points, and by comparing change in LDS to global impression of change. For external validation, LDS was calculated in 2 cohorts of patients with lipodystrophy treated with metreleptin. Results LDS domains include Diabetes/Insulin Resistance, Microvascular Complications of Diabetes, Lipids, Cardiovascular, Liver, Kidney, Reproductive, and Other. Each domain is assessed by 1 or more questions assessing both lifetime and recent complications of lipodystrophy. The LDS had high content validity and feasibility and high reliability by intraclass correlation coefficients (>0.95). Global and domain-specific LDS were strongly correlated with CGI, as were changes in scores across visits (R = 0.79-0.99, P < .001 for all). In generalized lipodystrophy, metreleptin significantly reduced LDS (from 46 to 26 at 12 months, P < .001). The reductions were smaller in partial lipodystrophy (from 65 to 61 at 12 months, P = .04). Conclusion The LDS can reflect the severity of diverse manifestations of lipodystrophy and monitor changes following interventions.

Abstract INTRODUCTION Early‐onset and late‐onset Alzheimer's disease (EOAD and LOAD, respectively) have distinct clinical manifestations, with prior work based on small samples suggesting unique patterns of neurodegeneration. The current study performed a head‐to‐head comparison of cortical atrophy in EOAD and LOAD, using two large and well‐characterized cohorts (LEADS and ADNI). METHODS We analyzed brain structural magnetic resonance imaging (MRI) data acquired from 377 sporadic EOAD patients and 317 sporadicLOAD patients who were amyloid positive and had mild cognitive impairment (MCI) or mild dementia (i.e., early‐stage AD), along with cognitively unimpaired participants. RESULTS After controlling for the level of cognitive impairment, we found a double dissociation between AD clinical phenotype and localization/magnitude of atrophy, characterized by predominant neocortical involvement in EOAD and more focal anterior medial temporal involvement in LOAD. DISCUSSION Our findings point to the clinical utility of MRI‐based biomarkers of atrophy in differentiating between EOAD and LOAD, which may be useful for diagnosis, prognostication, and treatment. Highlights Early‐onset Alzheimer's disease (EOAD) and late‐onset AD (LOAD) patients showed distinct and overlapping cortical atrophy patterns. EOAD patients showed prominent atrophy in widespread neocortical regions. LOAD patients showed prominent atrophy in the anterior medial temporal lobe. Regional atrophy was correlated with the severity of global cognitive impairment. Results were comparable when the sample was stratified for mild cognitive impairment (MCI) and dementia.

140 Background: In the phase II EXTEND iADT omPC basket, MDT+iADT improved progression-free survival (PFS) vs iADT. Here we present the primary results of the EXTEND cADT omPC basket. We further report a pre-specified combined analysis with updated results from the iADT basket and examine the effects of MDT on immunity. Methods: Patients with 1 to 5 omPC metastases were randomized 1:1 to MDT+cADT vs cADT (NCT03599765). MDT consisted of definitive local therapy. cADT consisted of ADT +/- second-generation anti-androgens. The primary endpoint was per-protocol PFS, defined by biochemical criteria (Prostate Cancer Working Group 3), radiologic measures (RECIST v1.1), clinical progression, or death. 87 patients were needed to show superiority at a one-sided P of 0.10 by log-rank test. CDR3 regions in rearranged T cell receptor (TCR) β-chains from pre- and post-enrollment peripheral blood were sequenced with immunoSEQ (Adaptive Biotech). TCR repertoire modulation was defined as having TCR expansion plus contraction using a false-discovery-corrected betabinomial model. TCR sequencing from the ORIOLE trial (NCT02680587) was assessed for external validation. Results: From 2018 to 2022, 87 randomized patients were treated per protocol (MDT+cADT: 45; cADT: 42). 39% had castrate resistant omPC. MDT was definitive radiotherapy in all cases. With median follow-up of 31 mo, median PFS was 47 mo after MDT+cADT vs 22 mo after cADT (HR 0.50; 95% CI 0.23 to 1.08; one-sided P = 0.036). In the combined analysis (N=174) with median follow-up of 42 mo, MDT+ADT improved PFS (HR 0.45; 95% CI 0.30 to 0.69; P < 0.001), radiologic PFS (HR 0.63; 95% CI 0.40 to 0.97; P = 0.038), and castration-resistance free-survival (HR 0.40; 95% CI 0.19 to 0.82; P = 0.013). MDT+ADT had higher odds of TCR repertoire modulation vs ADT (55% vs 15%, P < 0.001). This finding was validated in the ORIOLE trial (MDT: 57% vs observation: 19%, P = 0.03). Among the subset of patients with extreme responses, random forest modeling of 37 clinical/immune variables identified TCR repertoire modulation as the variable with highest importance; further, MDT+ADT induced TCR repertoire modulation in all patients with favorable responses (i.e. PFS > 4 years) and none with unfavorable responses (i.e. PFS < 1 year). Among all patients randomized to MDT+ADT, TCR repertoire modulation was associated with longer PFS (HR 0.21; 95% CI 0.06 to 0.76; P = 0.02). Conclusions: MDT+cADT met the PFS primary endpoint of the phase II EXTEND trial, warranting phase III testing. From the combined analysis, MDT+ADT may also improve longer term outcomes including radiologic PFS and castration-resistance-free survival. Improved outcomes may result from MDT-induced immunomodulation, with implications for future trial design. Clinical trial information: NCT03599765 .