117 research outputs found

    Pulmonary Hypertension with “Normal” Pulmonary Vascular Resistance

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    Convolutional Spiking Neural Networks for Detecting Anticipatory Brain Potentials Using Electroencephalogram

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    Spiking neural networks (SNNs) are receiving increased attention as a means to develop "biologically plausible" machine learning models. These networks mimic synaptic connections in the human brain and produce spike trains, which can be approximated by binary values, precluding high computational cost with floating-point arithmetic circuits. Recently, the addition of convolutional layers to combine the feature extraction power of convolutional networks with the computational efficiency of SNNs has been introduced. In this paper, the feasibility of using a convolutional spiking neural network (CSNN) as a classifier to detect anticipatory slow cortical potentials related to braking intention in human participants using an electroencephalogram (EEG) was studied. The EEG data was collected during an experiment wherein participants operated a remote controlled vehicle on a testbed designed to simulate an urban environment. Participants were alerted to an incoming braking event via an audio countdown to elicit anticipatory potentials that were then measured using an EEG. The CSNN's performance was compared to a standard convolutional neural network (CNN) and three graph neural networks (GNNs) via 10-fold cross-validation. The results showed that the CSNN outperformed the other neural networks.Comment: 14 pages, 6 figures, Scientific Reports submissio

    Houston SHOCK: A Practical Scoring System Incorporating Cardiogenic Shock Dynamic Changes

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    Cardiogenic shock has an unacceptably high mortality rate and additional tools are needed to improve outcomes. The Society of Cardiovascular Angiography and Interventions (SCAI) shock severity classification has provided a unified definition of shock severity that has proven to be reproducible and predictive of survival. However, cardiogenic shock assessment goes beyond standardizing its severity, and a uniform and practical approach to comprehensive assessment that may guide therapy in a dynamic state is currently lacking. Since cardiogenic shock is a rapidly evolving pathophysiological catastrophe, we propose a new assessment tool – the Houston SHOCK Score – which incorporates dynamic changes. The acronym SHOCK can be used to emphasize five key aspects of patients in cardiogenic shock: Severity, Hemodynamics, Onset, Causes, and Kinetics. We believe this tool provides physicians with vital information that will facilitate appropriate care by incorporating dynamic changes in the patient’s profile

    Reliable and accurate diagnostics from highly multiplexed sequencing assays

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    Scalable, inexpensive, and secure testing for SARS-CoV-2 infection is crucial for control of the novel coronavirus pandemic. Recently developed highly multiplexed sequencing assays (HMSAs) that rely on high-throughput sequencing can, in principle, meet these demands, and present promising alternatives to currently used RT-qPCR-based tests. However, reliable analysis, interpretation, and clinical use of HMSAs requires overcoming several computational, statistical and engineering challenges. Using recently acquired experimental data, we present and validate a computational workflow based on kallisto and bustools, that utilizes robust statistical methods and fast, memory efficient algorithms, to quickly, accurately and reliably process high-throughput sequencing data. We show that our workflow is effective at processing data from all recently proposed SARS-CoV-2 sequencing based diagnostic tests, and is generally applicable to any diagnostic HMSA

    T2D-Db: An integrated platform to study the molecular basis of Type 2 diabetes

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    <p>Abstract</p> <p>Background</p> <p>Type 2 Diabetes Mellitus (T2DM) is a non insulin dependent, complex trait disease that develops due to genetic predisposition and environmental factors. The advanced stage in type 2 diabetes mellitus leads to several micro and macro vascular complications like nephropathy, neuropathy, retinopathy, heart related problems etc. Studies performed on the genetics, biochemistry and molecular biology of this disease to understand the pathophysiology of type 2 diabetes mellitus has led to the generation of a surfeit of data on candidate genes and related aspects. The research is highly progressive towards defining the exact etiology of this disease.</p> <p>Results</p> <p>T2D-Db (Type 2 diabetes Database) is a comprehensive web resource, which provides integrated and curated information on almost all known molecular components involved in the pathogenesis of type 2 diabetes mellitus in the three widely studied mammals namely human, mouse and rat. Information on candidate genes, SNPs (Single Nucleotide Polymorphism) in candidate genes or candidate regions, genome wide association studies (GWA), tissue specific gene expression patterns, EST (Expressed Sequence Tag) data, expression information from microarray data, pathways, protein-protein interactions and disease associated risk factors or complications have been structured in this on line resource.</p> <p>Conclusion</p> <p>Information available in T2D-Db provides an integrated platform for the better molecular level understanding of type 2 diabetes mellitus and its pathogenesis. Importantly, the resource facilitates graphical presentation of the gene/genome wide map of SNP markers and protein-protein interaction networks, besides providing the heat map diagram of the selected gene(s) in an organism across microarray expression experiments from either single or multiple studies. These features aid to the data interpretation in an integrative way. T2D-Db is to our knowledge the first publicly available resource that can cater to the needs of researchers working on different aspects of type 2 diabetes mellitus.</p

    Improved outcomes in the treatment of post-myocardial infarction ventricular septal defect with percutaneous TandemHeart left ventricular mechanical circulatory support

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    Background Post-myocardial infarction (MI) ventricular septal defect (VSD) is associated with 40% - 50% of peri-procedural mortalities; however, it is amenable to catheter-based therapies. We retrospectively investigated the impact of state-of-the-art bridging percutaneous left ventricular mechanical circulatory support (MCS) using the TandemHeart® (TH) ventricular assist device (VAD) on a patient with post-MI VSD. Results From July 2008 to March 2014, 23 patients were referred for treatment of post-MI VSD. Initially, 18/23 patients required MCS; 12 received an intra-aortic balloon pump (IABP), while 6 received initial TH support. Seven of the IABP patients later required TH support. Catheter-based device VSD closure was performed in 18 of the patients; however, three patients required conversion to conventional open cardiac surgical repair via VSD patch closure due to failure of the catheter-based approach. Five patients with TH underwent planned open cardiac surgical repair due to an anticipated lack of suitability for catheter-based treatment. Results revealed that delayed closure after MI correlated with improved survival. Overall, 30-day and 6-month survival rates were 83% (19/23) and 70% (16/23), respectively. Conclusions Further, Qp/Qs ratios of \u3c2.4 correlated with successful percutaneous VSD repair, and this assessment should be further explored as an assessment to inform clinical judgment in patients with post-MI VSD treatment

    Adverse Events in Continuous-Flow LVAD Recipients: Gastrointestinal Bleeding is Still Notable?

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    Background: The etiology and risk factors associated with gastrointestinal bleeding (GIB) in patients with continuous-flow left ventricular assist devices (CF-LVADs) are currently unknown. Therefore, we sought to assess the risk factors for GIB in these patients. Design and Methods: This was a retrospective, non-randomized, non-controlled study at a single center. Between 2012 and 2014, 65 men and 6 women (mean age = 55 ± 12 years) underwent CF-LVAD implantation at our institution. Overall, 23.9% of patients (17/71) had at least one GIB episode. Endoscopy confirmed GIB in 13/17. Arteriovenous malformation was the major GIB source in 8/13 (61%). There was no significant difference in incidence of GIB with regard to INTERMACS profile, blood type, or device type—HeartWare vs. HeartMateII. All our patients with GIB were men, most had hyperlipidemia, and most likely had ischemic cardiomyopathy (65%) and peripheral vascular disease (24%). The only significant risk factor for GIB was chronic kidney disease (odds ratio= 3.95; 95% confidence interval of 1.21 to 12.84; p=0.02). At the time of the first GIB, mean hemoglobin was 7.38 ± 1.06 g/dl, international normalized ratio was 2.08 ± 0.69 IU, and mean arterial pressure was 75 ± 12 mmHg. Ten patients (59%) required hospital admission for treatment. Conclusion: In our patients GIB was often a single event and often occurred within first month after implantation. Prevention strategies should be focused on this vulnerable period, especially in patients with chronic kidney disease
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