Immunodeficiency, Centromeric Region Instability, and Facial Anomalies Syndrome (ICF) in a Boy with Variable Clinical and Immunological Presentations

Immunodeficiency, centromeric instability, and facial anomalies (ICF) syndrome is a rare primary immunodeficiency disorder characterized by recurrent infections and low immunoglobulin levels due to variable combined immunodeficiency, and centromeric region instability, and facial dysmorphism. We describe a 12-year-old boy with recurrent respiratory tract infections, facial anomalies, scoliosis, and psychomotor retardation. He had recurrent pneumonia with low serum IgG and IgM levels during infancy and preschool age. Later at the age of 10, he developed recurrent ear infections. An IgA and IgM deficiency was found accompanied by a normal B-cell and T-cell count as well as an impaired candida-induced T-cell proliferation. Further evaluations revealed a missense mutation in the DNMT3B gene on chromosome 20. Chromosomal analysis showed a sunburst multi-radial feature on chromosome 1, which is a hallmark of ICF syndrome. The genetic mutation and chromosomal abnormality along with clinical findings are compatible with the diagnosis of ICF syndrome. To the best of our knowledge, this is the first time that scoliosis is observed in an ICF patient. The additional variable clinical symptoms in the case were the presence of spastic gait as well as hypogammaglobulinemia with immunoglobulin isotype switch at different ages

Intermediate versus standard-dose prophylactic anticoagulation and statin therapy versus placebo in critically-ill patients with COVID-19: Rationale and design of the INSPIRATION/INSPIRATION-S studies

Background: Microvascular and macrovascular thrombotic events are among the hallmarks of coronavirus disease 2019 (COVID-19). Furthermore, the exuberant immune response is considered an important driver of pulmonary and extrapulmonary manifestations of COVID-19. The optimal management strategy to prevent thrombosis in critically-ill patients with COVID-19 remains unknown. Methods: The Intermediate versus Standard-dose Prophylactic anticoagulation In cRitically-ill pATIents with COVID-19: An opeN label randomized controlled trial (INSPIRATION) and INSPIRATION-statin (INSPIRATION-S) studies test two independent hypotheses within a randomized controlled trial with 2 � 2 factorial design. Hospitalized critically-ill patients with reverse transcription polymerase chain reaction confirmed COVID-19 will be randomized to intermediate-dose versus standard dose prophylactic anticoagulation. The 600 patients undergoing this randomization will be screened and if meeting the eligibility criteria, will undergo an additional double-blind stratified randomization to atorvastatin 20 mg daily versus matching placebo. The primary endpoint, for both hypotheses will be tested for superiority and includes a composite of adjudicated acute arterial thrombosis, venous thromboembolism (VTE), use of extracorporeal membrane oxygenation, or all-cause death within 30 days from enrollment. Key secondary endpoints include all-cause mortality, adjudicated VTE, and ventilator-free days. Key safety endpoints include major bleeding according to the Bleeding Academic Research Consortium definition and severe thrombocytopenia (platelet count 3 times upper normal limit and clinically-diagnosed myopathy. The primary analyses will be performed in the modified intention-to-treat population. Results will be tested in exploratory analyses across key subgroups and in the intention-to-treat and per-protocol cohorts. Conclusions: INSPIRATION and INSPIRATON-S studies will help address clinically-relevant questions for antithrombotic therapy and thromboinflammatory therapy in critically-ill patients with COVID-19. © 2020 Elsevier Lt

Atorvastatin versus placebo in ICU patients with COVID-19: ninety-day results of the INSPIRATION-S trial

Background In the INSPIRATION-S trial, atorvastatin versus placebo was associated with a nonsignificant 16% reduction in 30-day composite of venous/arterial thrombosis or death in intensive care unit (ICU) patients with COVID-19. Thrombo-inflammatory response in coronavirus disease 2019 (COVID-19) may last beyond the first 30 days.Methods This article reports the effects of atorvastatin 20 mg daily versus placebo on 90-day clinical and functional outcomes from INSPIRATION-S, a double-blind multicenter randomized trial of adult ICU patients with COVID-19. The main outcome for this prespecified study was a composite of adjudicated venous/arterial thrombosis, treatment with extracorporeal membrane oxygenation (ECMO), or all-cause mortality. Functional status was assessed with the Post-COVID-19 Functional Scale.Results In the primary analysis, 587 patients were included (age: 57 [Q1–Q3: 45–68] years; 44% women). By 90-day follow-up, the main outcome occurred in 96 (33.1%) patients assigned to atorvastatin and 113 (38.0%) assigned to placebo (hazard ratio [HR]: 0.80, 95% confidence interval [CI]: 0.60–1.05, p = 0.11). Atorvastatin in patients who presented within 7 days of symptom onset was associated with reduced 90-day hazard for the main outcome (HR: 0.60, 95% CI: 0.42–0.86, p interaction = 0.02). Atorvastatin use was associated with improved 90-day functional status, although the upper bound CI crossed 1.0 (ORordinal: 0.64, 95% CI: 0.41–1.01, p = 0.05).Conclusion Atorvastatin 20 mg compared with placebo did not significantly reduce the 90-day composite of death, treatment with ECMO, or venous/arterial thrombosis. However, the point estimates do not exclude a potential clinically meaningful treatment effect, especially among patients who presented within 7 days of symptom onset (NCT04486508).Thrombosis and Hemostasi

A deep learning and Monte Carlo based framework for bioluminescence imaging center of mass-guided glioblastoma targeting

Objective. Bioluminescence imaging (BLI) is a valuable tool for non-invasive monitoring of glioblastoma multiforme (GBM) tumor-bearing small animals without incurring x-ray radiation burden. However, the use of this imaging modality is limited due to photon scattering and lack of spatial information. Attempts at reconstructing bioluminescence tomography (BLT) using mathematical models of light propagation show limited progress. Approach. This paper employed a different approach by using a deep convolutional neural network (CNN) to predict the tumor's center of mass (CoM). Transfer-learning with a sizeable artificial database is employed to facilitate the training process for, the much smaller, target database including Monte Carlo (MC) simulations of real orthotopic glioblastoma models. Predicted CoM was then used to estimate a BLI-based planning target volume (bPTV), by using the CoM as the center of a sphere, encompassing the tumor. The volume of the encompassing target sphere was estimated based on the total number of photons reaching the skin surface. Main results. Results show sub-millimeter accuracy for CoM prediction with a median error of 0.59 mm. The proposed method also provides promising performance for BLI-based tumor targeting with on average 94% of the tumor inside the bPTV while keeping the average healthy tissue coverage below 10%. Significance. This work introduced a framework for developing and using a CNN for targeted radiation studies for GBM based on BLI. The framework will enable biologists to use BLI as their main image-guidance tool to target GBM tumors in rat models, avoiding delivery of high x-ray imaging dose to the animals

Imaging shallow structures using interferometry of seismic body waves generated by train traffic

SUMMARY Train-induced vibrations act as potential powerful high-frequency source for imaging subsurface with higher resolution than typical ambient noise interferometry. In this study, we present results of seismic interferometry applied on three days of railroad traffic data recorded by an array of seismographs along a railway in Dublin, Ireland. Our virtual shot gathers show significant surface and body wave energy that could be used for seismic interferometry. Reflection sections obtained with our interferometry approaches applied on selected time windows of train-induced vibrations is consistent with nearby borehole data and an active seismic profile. The consistency of the results given by these approaches confirms that train-generated vibrations represent a valuable source of signal for high-resolution subsurface imaging. Furthermore, our results show spurious arrivals that are due to the train geometry and also the cross-correlation approach that needs consideration for body wave interferometry studies.</jats:p

A deep learning and Monte Carlo based framework for bioluminescence imaging center of mass-guided glioblastoma targeting

Objective. Bioluminescence imaging (BLI) is a valuable tool for non-invasive monitoring of glioblastoma multiforme (GBM) tumor-bearing small animals without incurring x-ray radiation burden. However, the use of this imaging modality is limited due to photon scattering and lack of spatial information. Attempts at reconstructing bioluminescence tomography (BLT) using mathematical models of light propagation show limited progress. Approach. This paper employed a different approach by using a deep convolutional neural network (CNN) to predict the tumor's center of mass (CoM). Transfer-learning with a sizeable artificial database is employed to facilitate the training process for, the much smaller, target database including Monte Carlo (MC) simulations of real orthotopic glioblastoma models. Predicted CoM was then used to estimate a BLI-based planning target volume (bPTV), by using the CoM as the center of a sphere, encompassing the tumor. The volume of the encompassing target sphere was estimated based on the total number of photons reaching the skin surface. Main results. Results show sub-millimeter accuracy for CoM prediction with a median error of 0.59 mm. The proposed method also provides promising performance for BLI-based tumor targeting with on average 94% of the tumor inside the bPTV while keeping the average healthy tissue coverage below 10%. Significance. This work introduced a framework for developing and using a CNN for targeted radiation studies for GBM based on BLI. The framework will enable biologists to use BLI as their main image-guidance tool to target GBM tumors in rat models, avoiding delivery of high x-ray imaging dose to the animals

A Patient with CTLA-4 Haploinsufficiency with Multiple Autoimmune Presentations: A Case Report

Increased susceptibility to autoimmunity, malignancy, and allergy in addition to recurrent infections are the main characteristics suggesting for the primary immunodeficiency diseases (PID). CTLA-4 is predominantly expressed on activated and regulatory T-cells, which can bind to CD80/CD86 molecules on antigen-presenting cells as a negative regulator. Here, we describe a 24-year-old male born from consanguineous parents with heterozygous CTLA-4 mutation who presented with multiple autoimmune diseases. His past clinical history revealed alopecia areata at four years old and subsequently, he developed Evans syndrome, type 1 diabetes mellitus, hypothyroidism, and chronic diarrhea while chronic rhinosinusitis and cytomegalovirus (CMV) colitis were the only infectious manifestations. Immunologic investigations revealed: low B cell count, abnormal Lymphocyte transformation test (LTT) to phytohemagglutinin (PHA), and hypogammaglobulinemia. Although all available treatments such as Intravenous Immunoglobulin (IVIG) therapy, immunosuppressive drugs, and antibiotic therapy were applied, diarrhea was not controlled due to colitis, which remained challenging. Whole exome sequencing was performed and the result showed heterozygous variant CHR2.204,735,635 G>A in the CTLA-4 gene, which was confirmed by the Sanger method. CTLA4 haploinsufficiency leads to autoimmune disorders, recurrent respiratory infections, hypogammaglobulinemia, lymphoproliferation with organ infiltration, and lymphocytic interstitial lung disease

A New Privacy Aware Payment Scheme for Wireless Charging of Electric Vehicles

Electric vehicles (EVs) can be considered as a revolution in the combustion industry with significant improvement in fuel utilization and decrease in pollution compared to combustion engines. However, by decreasing the size of the battery to reduce the cost, the frequency of charging EVs in a day increases. Therefore, to reduce the downtime required for charging EVs, wireless charging on the move can be an effective solution. In such a situation, paying for wireless charging on the move is an important issue. However, it can endanger the location privacy of users, since the EVs need to charge frequently in a day. In this paper, we first explain different methods of payment and problems with such payment methods in the case of wireless charging on the move. Then, we propose an efficient payment method based on ‘tokens’ for wireless charging on the move, which minimizes the communications between service providers and users during the charging process. The proposed scheme prevents users and service providers from cheating, and it is robust to support different values for the price. Finally, we compare it with other payment methods that have been proposed for plug-in electric vehicles.</p

Durable functional limitation in patients with coronavirus disease-2019 admitted to intensive care and the effect of intermediate-dose vs standard-dose anticoagulation on functional outcomes

Introduction: Patients affected with severe forms of coronavirus disease 2019 (COVID-19) suffer from a wide range of sequelae, from limited airway diseases to multiple organ failure. These sequelae may create exercise limitation, impair the daily activity and thus impact the mental health and the social life. However, the extent of functional limitations and depressive symptoms are understudied especially in patients with COVID-19 after intensive care unit (ICU) hospitalization.Methods: The Intermediate versus Standard-dose Prophylactic anticoagulation In cRitically-ill pATIents with COVID-19: An opeN label randomized controlled trial (INSPIRATION) was a clinical trial that randomized ICU patients with COVID-19 to intermediate-dose vs standard-dose anticoagulation. In the current study, we assessed the interval change in 30-day and 90-day functional limitations based on the post-COVID-19 functional status scale (PCFS) and depressive symptoms based on the Patient Health Questionnaire-2 (PHQ-2) in the trial participants. We also assessed the effect of intermediate-dose vs standard-dose prophylactic anticoagulation on the functional outcomes and depressive symptoms.Results: Of 600 randomized patients in INSPIRATION, 375 (age: 62 years; 42% women) participated in the functional status study. 195 patients died during the 90-day follow up (191 by day 30). Among survivors, between day 30 and day 90, the proportion of patients with moderate-to-severe functional limitation (PCSF grade 3-or-4) decreased from 20.0% to 4.8% (P = 3 decreased from 25.5% to 16.6% (P = 0.05). The proportion of patients with no functional limitations (PCFS grade 0) increased (4.2% to 15.4%, P= 3 (17.9% vs 15.3%; OR, 1.14, [95% CI, 0.79-1.65]; P = 0.14), with similar results when accounting for study center.Conclusion: In patients with COVID-19 admitted to the ICU, functional limitations and depressive symptoms were common at 30-day follow-up and had some improvement by 90-day follow-up among survivors. Intermediate-dose compared to standard-dose prophylactic anticoagulation did not improve functional outcomes