Citations

AbstractColony‐stimulating factor 1 receptor (CSF1R)‐related leukoencephalopathy is a rare but fatal microgliopathy. The diagnosis is often delayed due to multifaceted symptoms that can mimic several other neurological disorders. Imaging provides diagnostic clues that help identify cases. The objective of this study was to integrate the literature on neuroimaging phenotypes of CSF1R‐related leukoencephalopathy. A systematic review and meta‐analysis were performed for neuroimaging findings of CSF1R‐related leukoencephalopathy via PubMed, Web of Science, and Embase on 25 August 2021. The search included cases with confirmed CSF1R mutations reported under the previous terms hereditary diffuse leukoencephalopathy with spheroids, pigmentary orthochromatic leukodystrophy, and adult‐onset leukoencephalopathy with axonal spheroids and pigmented glia. In 78 studies providing neuroimaging data, 195 cases were identified carrying CSF1R mutations in 14 exons and five introns. Women had a statistically significant earlier age of onset (p = 0.041, 40 vs 43 years). Mean delay between symptom onset and neuroimaging was 2.3 years. Main magnetic resonance imaging (MRI) findings were frontoparietal white matter lesions, callosal thinning, and foci of restricted diffusion. The hallmark computed tomography (CT) finding was white matter calcifications. Widespread cerebral hypometabolism and hypoperfusion were reported using positron emission tomography and single‐photon emission computed tomography. In conclusion, CSF1R‐related leukoencephalopathy is associated with progressive white matter lesions and brain atrophy that can resemble other neurodegenerative/‐inflammatory disorders. However, long‐lasting diffusion restriction and parenchymal calcifications are more specific findings that can aid the differential diagnosis. Native brain CT and brain MRI (with and without a contrast agent) are recommended with proposed protocols and pictorial examples are provided.

Shared decision making (SDM) has been advocated to improve patient care, patient decision acceptance, patient-provider communication, patient motivation, adherence, and patient reported outcomes. Documentation of SDM is endorsed in several society guidelines and is a condition of reimbursement for selected cardiovascular and cardiac arrhythmia procedures. However, many clinicians argue that SDM already occurs with clinical encounter discussions or the process of obtaining informed consent and note the additional imposed workload of using and documenting decision aids without validated tools or evidence that they improve clinical outcomes. In reality, SDM is a process and can be done without decision tools, although the process may be variable. Also, SDM advocates counter that the low-risk process of SDM need not be held to the high bar of demonstrating clinical benefit and that increasing the quality of decision making should be sufficient. Our review leverages a multidisciplinary group of experts in cardiology, cardiac electrophysiology, epidemiology, and SDM, as well as a patient advocate. Our goal is to examine and assess SDM methodology, tools, and available evidence on outcomes in patients with heart rhythm disorders to help determine the value of SDM, assess its possible impact on electrophysiological procedures and cardiac arrhythmia management, better inform regulatory requirements, and identify gaps in knowledge and future needs.

Background: Atherosclerosis is the primary cause of the cardiovascular disease (CVD). Several risk factors lead to atherosclerosis, and altered nutrition is one among those. Nutrition has been ignored quite often in the process of CVD risk assessment. Altered nutrition along with carotid ultrasound imaging-driven atherosclerotic plaque features can help in understanding and banishing the problems associated with the late diagnosis of CVD. Artificial intelligence (AI) is another promisingly adopted technology for CVD risk assessment and management. Therefore, we hypothesize that the risk of atherosclerotic CVD can be accurately monitored using carotid ultrasound imaging, predicted using AI-based algorithms, and reduced with the help of proper nutrition. Layout: The review presents a pathophysiological link between nutrition and atherosclerosis by gaining a deep insight into the processes involved at each stage of plaque development. After targeting the causes and finding out results by low-cost, user-friendly, ultrasound-based arterial imaging, it is important to (i) stratify the risks and (ii) monitor them by measuring plaque burden and computing risk score as part of the preventive framework. Artificial intelligence (AI)-based strategies are used to provide efficient CVD risk assessments. Finally, the review presents the role of AI for CVD risk assessment during COVID-19. Conclusions: By studying the mechanism of low-density lipoprotein formation, saturated and trans fat, and other dietary components that lead to plaque formation, we demonstrate the use of CVD risk assessment due to nutrition and atherosclerosis disease formation during normal and COVID times. Further, nutrition if included, as a part of the associated risk factors can benefit from atherosclerotic disease progression and its management using AI-based CVD risk assessment.

Abstract Introduction: Therapy-related myeloid neoplasm (t-MN) includes acute myeloid leukemia (AML), myelodysplastic syndrome (MDS), and myelodysplastic/myeloproliferative neoplasms (MDS/MPN) that occur as a complication of DNA-damaging therapies. The World Health Organization recommends considering t-MN as a single entity. Whether t-MDS and t-AML have distinct characteristics and outcomes is not known. The aim of this study was to compare clinicopathological characteristics and outcomes of t-MDS and t-AML. Methods: All patients diagnosed with t-MN based on the World Health Organization criteria were identified. Bone marrow biopsies, cytogenetic, and next-generation sequencing (NGS) were obtained at the treating physician's discretion. Pathogenic/likely pathogenic variants (PV) were called based on the standard criteria. Overall survival (OS) was calculated from the time of t-MN diagnosis until the last follow up using Kaplan-Meier analysis using Wilcoxon test. For survival analysis comparing chemotherapy to best supportive care (BSC) only, patients were censored at the time of allogeneic stem cell transplant (SCT). Multivariate analysis was performed using Cox proportional hazard method and corrected using false discovery rate (FDR). Statistical analysis was performed using JMP (v14.1, SAS Institute) and significance was defined as P<0.05. Results: We identified 554 patients, of which 180 (32.4%), 365 (65.8%), and 9 (1.6%) presented as t-AML, t-MDS, and t-MDS/MPN respectively. t-MDS/MPN patients were excluded from further analysis due to a small number. Clinical and laboratory characteristics of the t-AML and t-MDS cohorts is shown in Table 1. t-AML patients were significantly more anemic and thrombocytopenic at presentation. As expected, t-AML had a higher peripheral blood and BM blast count. There was no difference in proportion of patients with chromosomal abnormalities, though a statistically significantly higher proportion of t-MDS patients had chromosome 5 abnormality, 5q deletion, monosomy 5, chromosome 7 abnormality, monosomy 7 compared to t-AML patients. On other hand, 11q23 (mixed lineage leukemia, MLL) rearrangement was more common in t-AML compared to t-MDS (9.3% vs. 2.8%, P=0.005). A higher proportion of t-MDS patients had PV detected by NGS compared to t-AML (92.9% vs. 85.6%, P=0.038). A higher proportion of t-MDS patients had PV in TP53 (37.6% vs. 21.4%, P=0.004) and ASXL1 (23% vs. 11.7%, P=0.016) genes; whereas a higher proportion of t-AML patients had PV in RAS (18.9% vs. 9.1%, P=0.013) and WT1 (8.1% vs. 2.9%, P=0.05) genes. One hundred twenty-eight (35%) of 365 t-MDS patients progressed to t-AML. The presence of any chromosomal abnormality at t-MDS diagnosis predicted a higher risk of transformation to t-AML (χ 2 3.9, P=0.03). t-AML patients had a significantly shorter OS compared to t-MDS (9.2 vs. 19.7 months, P<0.0001, Figure A). This difference persisted when stratified by no disease modifying therapies (BSC only) 2 vs. 17 months (P<0.0001, Figure B), as well as among those who received at least one line of chemotherapy (14 vs. 24.6 months, P<0.001). Finally, a higher proportion of patients with t-AML underwent SCT and there was a trend towards improved survival for t-AML patients (vs. t-MDS 52.9 vs. 20.7 months, P=0.07) from the time of transplant. Multivariate analysis for OS performed to control for all the variables that were different at presentation (except for blast count), showed that t-MDS (as opposed to t-AML) phenotype at diagnosis, and undergoing SCT were independent predictors of improved survival (Table 2). Conclusion: t-MDS and t-AML have distinct clinical, cytogenetic, and genetic features at presentation. In the absence of disease modifying therapies, t-AML is a more aggressive phenotype, consistently associated with a shorter survival. Even after controlling adverse risk features, t-AML phenotype had a shorter survival compared to t-MDS. Figure 1 Figure 1. Disclosures Litzow: AbbVie: Research Funding; Astellas: Research Funding; Amgen: Research Funding; Actinium: Research Funding; Pluristem: Research Funding; Jazz: Other: Advisory Board; Omeros: Other: Advisory Board; Biosight: Other: Data monitoring committee. Hiwase: Novartis: Membership on an entity's Board of Directors or advisory committees; AbbVie: Membership on an entity's Board of Directors or advisory committees.

Abstract Background: ChAdOx1 nCoV-19 (AstraZeneca) and Ad26.COV2.S (Janssen Johnson & Johnson) vaccines against COVID-19 have been associated with thrombotic thrombocytopenic reactions referred to as vaccine-induced immune thrombotic thrombocytopenia (VITT) characterized by the presence of platelet-activating, anti-PF4 antibodies. While VITT shares key clinical features with a similar but separate entity, Heparin-induced thrombocytopenia (HIT), there appear to be important differences: 1) VITT patients have extremely high thrombosis rates and are very strongly positive in PF4-polyanion ELISAs, and 2) Many patients with VITT frequently present with refractoriness to therapy or have disease recurrence that suggests distinct antibody characteristics due to a strong autoimmune anti-PF4 response. Aims: The goal of this study was to characterize anti-PF4 antibodies in VITT. Methods: Five VITT patients were studied, one after ChAdOx1 nCoV-19 vaccination and four after Ad26.COV2. Reactivity of VITT anti-PF4 antibodies to uncomplexed PF4, PF4-Polyvinyl sulfonate (PVS), and PF4-heparin targets was evaluated, and the platelet-activating ability of these antibodies was examined in the PF4-dependent P-selectin Expression assay (PEA). Anti-PF4 antibodies were isolated from patient blood samples using PF4-treated heparin sepharose beads, and isolated antibodies were subject to mass spectrometric evaluation (Liquid Chromatography Electrospray Ionization Quadrupole time-of-flight mass spectrometry [LC-ESI-QTOF MS]). Results: Antibodies from all VITT patients recognized both uncomplexed and complexed PF4 (Fig. 1A). Interestingly, recognition of PF4 by VITT antibodies was lower if PF4 targets were complexed with polyanions, PVS, or heparin (Fig. 1A). These results contrasted with those obtained in a "classical" HIT patient which showed reactivity to PF4/polyanion complexes, but not to uncomplexed PF4 (Fig 1A). All samples activated platelets in the PEA (data not shown). Mass spectrometric evaluation of anti-PF4 antibodies isolated from VITT patients demonstrated monoclonal anti-PF4 antibodies in three patients, and bi- and tri-clonal antibodies in one patient each (a representative monoclonal antibody anti-PF4 antibody is shown in Fig 1B). Consistent with current dogma, polyclonal anti-PF4/polyanion antibodies were seen in "classical" HIT (Fig 1C). Evaluation of anti-PF4 antibodies in spontaneous HIT, a type of autoimmune HIT seen in pro-inflammatory milieus such as orthopedic surgery and infectious prodromes also demonstrated monoclonal anti-PF4 antibodies (Fig 1D). Eluates from control heparin-sepharose beads did not reveal any immunoglobulins (data not shown). Conclusion: Although development of platelet-activating anti-PF4 antibodies and the thrombotic thrombocytopenia syndrome seen after ChAdOx1 nCoV-19 and Ad26.COV2.S vaccination resembles HIT, these findings demonstrate that clonally restricted anti-PF4 antibodies mediate VITT while polyclonal anti-PF4 antibodies mediate HIT. In addition, we noted clonally-restricted anti-PF4 antibodies in another condition that does not require proximate heparin exposure, spontaneous ("autoimmune") HIT. In VITT, the strong immune response after vaccine administration may result in the activation of a single or few pre-existing anti-PF4 reactive clones, and development of clonally restricted anti-PF4 antibodies with a similar pathophysiology to Spontaneous HIT. It is also likely that high levels of monoclonal/oligoclonal anti-PF4 antibodies cause the severe thrombotic phenotypes seen in VITT and Spontaneous HIT. The high mortality rate and reports of disease refractoriness to therapy in VITT may warrant consideration of additional therapeutic modalities like rituximab and therapeutic plasma exchange in select cases. Figure Legends: (A): VITT (Patient 1-ChAdOx1 nCoV-19; Patients 2-5, Ad26.COV2.S) patient samples were tested in ELISA against uncomplexed PF4 (white), and PF4 in complex with polyvinyl sulfonate (light grey), or unfractionated heparin (dark gray). (B-D) Mass spectrometric evaluation of anti-PF4 antibodies isolated from VITT (B), HIT (C) and spontaneous HIT patient sera (D). "Relative Intensity" refers to abundance of the Ig light chain relative to the polyclonal background. Numbers above Ig light chain peaks depict mass/charge ratios. NC- Normal control. Figure 1 Figure 1. Disclosures Murray: Mayo Clinic: Other: Has received patents for the Mass-Fix technology which has been licensed to the Binding Site with potential royalties.. Padmanabhan: Veralox Therapeutics: Membership on an entity's Board of Directors or advisory committees.

Abstract Introduction: Therapy related myeloid neoplasm (t-MN) is a rare but devastating complication of cytotoxic therapy used for management of unrelated malignancy or autoimmune diseases. Therapeutic options for t-MN are limited and although hypomethylating agents (HMA) are frequently used, the benefit of it in t-MN is unclear. There are no prospective trials of HMA in t-MN and published experience is based on retrospective analysis of small number of cases (n=42 to 54). The aim of this study was to assess the efficacy of HMA therapy in t-MN patients and evaluate predictors for it. Methods: t-MN patients managed with first line HMA therapy were analyzed. This study was approved by the participating institutional review board. Criteria for inclusion were a pathologically confirmed diagnosis of t-MN based on WHO 2016 criteria, age >18 years, and ≥1 cycle of decitabine or azacitidine. Patient characteristics were summarized by frequency (percentage). Overall survival was calculated from the time of starting azacitidine to last follow up or death date using Kaplan-Meier analysis. Multivariable analysis was performed using Cox proportional hazard model. Statistical analysis was performed using R program and significance was defined as P<0.05. Results: Of the 554 t-MN patients analyzed, 184 (33%) patients were treated with HMA as the first line therapy and were included in the study. Median age at t-MN diagnosis was 70 (IQR 64-75) years and 112 (60%) patients were male. At the time of diagnosis, 84% (n=154) and 16% (n=30) patients were classified as t-MDS and t-AML and 47% (87/184) and 46% (49/107) of the evaluable patients had complex karyotype and TP53 somatic mutations (TP53 Mut) respectively. Azacitidine (n=145, 79%) was most frequently used HMA followed by decitabine (n=39, 21%). Median survival of the whole cohort since t-MN diagnosis was 13.2 months. At the time of analysis further treatment details were available for 78 patients and outcome of these patients were compared with primary MDS (p-MDS) and oligoblastic AML managed at the same institute. Completion of six-cycles of HMA (50% vs. 62%; P=0.07) and overall response rate (47 vs. 50%, P=0.22) was not significantly different between t-MN and p-MDS. However, median OS of t-MN was significantly poor compared to p-MDS (10 vs. 20 months, P=0.0004; Figure 1A). In t-MN patients treated with HMA as the first-line agent, median OS was significantly shorter in t-AML compared to t-MDS (7 vs.10 months, P=0.04; Figure 1B). Median OS was significantly shorter in patients with TP53 Mut and complex karyotype (Figure 1C-D). In Cox proportional hazard analysis, t-AML and complex karyotype were independently associated with poor outcome. Conclusion: This study demonstrates significantly poor outcome of t-MN patients treated with HMA therapy as first line. The outcome is particularly poor in t-AML and patients with complex karyotype and TP53 Mut. Hence there is urgent need for clinical trials of novel therapies for t-MN. Figure 1 Figure 1. Disclosures Sharplin: Kite Gilead: Honoraria; Novartis: Other: Travel Support. Ross: Keros Therapeutics: Consultancy, Honoraria; Bristol Myers Squib: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding; Novartis: Consultancy, Honoraria, Membership on an entity's Board of Directors or advisory committees, Research Funding. Hiwase: Novartis: Membership on an entity's Board of Directors or advisory committees; AbbVie: Membership on an entity's Board of Directors or advisory committees.

After antigenic activation, quiescent naive CD4 + T cells alter their metabolism to proliferate. This metabolic shift increases production of nucleotides, amino acids, fatty acids, and sterols. Here, we show that histone deacetylase 3 (HDAC3) is critical for activation of murine peripheral CD4 + T cells. HDAC3-deficient CD4 + T cells failed to proliferate and blast after in vitro TCR/CD28 stimulation. Upon T-cell activation, genes involved in cholesterol biosynthesis are upregulated while genes that promote cholesterol efflux are repressed. HDAC3-deficient CD4 + T cells had reduced levels of cellular cholesterol both before and after activation. HDAC3-deficient cells upregulate cholesterol synthesis appropriately after activation, but fail to repress cholesterol efflux; notably, they overexpress cholesterol efflux transporters ABCA1 and ABCG1. Repression of these genes is the primary function for HDAC3 in peripheral CD4 + T cells, as addition of exogenous cholesterol restored proliferative capacity. Collectively, these findings demonstrate HDAC3 is essential during CD4 + T-cell activation to repress cholesterol efflux.

Abstract Venomous snakebite is an important cause of preventable death. The World Health Organization (WHO) set a goal to halve snakebite mortality by 2030. We used verbal autopsy and vital registration data to model the proportion of venomous animal deaths due to snakes by location, age, year, and sex, and applied these proportions to venomous animal contact mortality estimates from the Global Burden of Disease 2019 study. In 2019, 63,400 people (95% uncertainty interval 38,900–78,600) died globally from snakebites, which was equal to an age-standardized mortality rate (ASMR) of 0.8 deaths (0.5–1.0) per 100,000 and represents a 36% (2–49) decrease in ASMR since 1990. India had the greatest number of deaths in 2019, equal to an ASMR of 4.0 per 100,000 (2.3-5.0). We forecast mortality will continue to decline, but not sufficiently to meet the WHO’s goals. Improved data collection should be prioritized to help target interventions, improve burden estimation, and monitor progress.

Background: For COVID-19 lung severity, segmentation of lungs on computed tomography (CT) is the first crucial step. Current deep learning (DL)-based Artificial Intelligence (AI) models have a bias in the training stage of segmentation because only one set of ground truth (GT) annotations are evaluated. We propose a robust and stable inter-variability analysis of CT lung segmentation in COVID-19 to avoid the effect of bias. Methodology: The proposed inter-variability study consists of two GT tracers for lung segmentation on chest CT. Three AI models, PSP Net, VGG-SegNet, and ResNet-SegNet, were trained using GT annotations. We hypothesized that if AI models are trained on the GT tracings from multiple experience levels, and if the AI performance on the test data between these AI models is within the 5% range, one can consider such an AI model robust and unbiased. The K5 protocol (training to testing: 80%:20%) was adapted. Ten kinds of metrics were used for performance evaluation. Results: The database consisted of 5000 CT chest images from 72 COVID-19-infected patients. By computing the coefficient of correlations (CC) between the output of the two AI models trained corresponding to the two GT tracers, computing their differences in their CC, and repeating the process for all three AI-models, we show the differences as 0%, 0.51%, and 2.04% (all < 5%), thereby validating the hypothesis. The performance was comparable; however, it had the following order: ResNet-SegNet > PSP Net > VGG-SegNet. Conclusions: The AI models were clinically robust and stable during the inter-variability analysis on the CT lung segmentation on COVID-19 patients.