Thromboxane A2 and TP receptors: A trail of research, well traveled

This article was written is response to a request from the editor-in-chief as a result of my receiving the Governor’s Award in Scientific Awareness. My goal is to provide a glimpse into a 40 plus year research career that was predominately focused on the role of thromboxane A2 and its receptor (TP) in physiologic and pathophysiologic processes in the cardiovascular system. It also enumerates the lessons learned along the way that may lead to a productive research career. Those lessons were; Perseverance, Think out of the box, Challenge the dogma, Take risks, Failure is not a bad thing, Focus, Select a good mentor(s), Choose your collaborators and colleagues wisely (team science), When you start an experiment-finish it (analyze all the data), Take time for your family

An authenticated case of black widow bite

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Isolated Candida infection of the lung

Candida pneumonia is a rare infection of the lungs, with the majority of cases occurring secondary to hematological dissemination of Candida organisms from a distant site, usually the gastrointestinal tract or skin. We report a case of a 77-year-old male who is life-long smoker with a history of rheumatoid arthritis and polymyalgia rheumatica, but did not take immunosuppressants for those conditions. Here, we present an extremely rare case of isolated pulmonary parenchymal Candida infection in the form pulmonary nodules without evidence of systemic disease which has only been described in a few previous reports

Improving Early Antibiotic Administration for Treatment of Sepsis at Children’s Hospital of Richmond at VCU: 2012-2019

Background: The Surviving Sepsis Campaign recommends initiating IV antibiotic administration within one hour of recognition of severe sepsis. Several studies have shown that prompt blood culture collection, administration of broad-spectrum antibiotics, and fluid resuscitation following recognition improves child survival. Objective: Our goal was to evaluate effectiveness of sepsis initiatives and institutional changes in the timing of early antibiotic administration at Children’s Hospital of Richmond at VCU. Methods: We formed a Pediatric Sepsis Committee with representatives from each unit in 2013. In 2016, the committee began tracking time from the order of a first stat dose IV antibiotic to administration as a marker of early treatment and reviewed data on a monthly basis with run charts for overall and unit-specific data. Other interventions included improved availability of antibiotics in automated dispensing machines, sepsis screening and alert systems, sepsis huddles, and auto-generated pages to charge nurses upon order of stat IV antibiotics. We included percent of stat antibiotics administered in less than one hour from order across all pediatric units since 2012. Results: Across all units, the centerline of first dose stat antibiotics delivered within one hour improved from a baseline of 34% in 2012 to 76% in 2019. The NICU and PICU centerlines improved by 53% and 48%, respectively since 2012. The Pediatric ED improved from 66% in 2012 to 84% in 2016. The Acute Care Pediatrics (ACP) Unit centerline improved from 24% in 2012 to 50% in 2017. Conclusion: Time from order to stat antibiotic administration has improved in all units receiving quality improvement initiatives. These improvements have been made possible by widespread emphasis on the dangers of untreated sepsis, multidisciplinary collaboration between nursing and physician staff, structural pharmacy changes and electronic alerts. Further studies are needed to determine impact on patient outcomes

Experimental Observation of Resonance Effects in Intensely Irradiated Atomic Clusters

We have resolved the expansion of intensely irradiated atomic clusters on a femtosecond time scale. These data show evidence for resonant heating, similar to resonance absorption, in spherical cluster plasmas

Bouveret Syndrome in an Elderly Female

ABSTRACT Introduction: A gastric outlet obstruction secondary to a gallstone ileus is known as Bouveret syndrome. Herein we present a case of an elderly woman with an impacted gallstone in duodenum and discuss its' management. Patient description: A 96-year-old woman was admitted to our department due to a gastric outlet obstruction. Initial gastroscopy revealed a gastric bezoar. An attempt for its extraction failed. She underwent a laparotomy in which a cholecystoduodenal fi stula and a large impacted stone were found. Separation of the fi stula, including closure of the duodenum side, cholecystectomy and removal of the obstructing gallstone were performed. Additional stones were found and retrieved during common bile duct (CBD) exploration. Surgery was fi nalized by duodenoplasty, closure and T-tube drainage of the CBD. Post-operative course was prolonged and uneventful. Discussion and Conclusions: Bouveret syndrome is a rare cause of gastric outlet obstructions. In this case, unsuccessful endoscopic treatment necessitated surgery for removal of impacted gallstone in the duodenum

A means of assessing deep learning-based detection of ICOS protein expression in colon cancer.

Biomarkers identify patient response to therapy. The potential immune‐checkpoint bi-omarker, Inducible T‐cell COStimulator (ICOS), expressed on regulating T‐cell activation and involved in adaptive immune responses, is of great interest. We have previously shown that open-source software for digital pathology image analysis can be used to detect and quantify ICOS using cell detection algorithms based on traditional image processing techniques. Currently, artificial intelligence (AI) based on deep learning methods is significantly impacting the domain of digital pa-thology, including the quantification of biomarkers. In this study, we propose a general AI‐based workflow for applying deep learning to the problem of cell segmentation/detection in IHC slides as a basis for quantifying nuclear staining biomarkers, such as ICOS. It consists of two main parts: a simplified but robust annotation process, and cell segmentation/detection models. This results in an optimised annotation process with a new user‐friendly tool that can interact with1 other open‐source software and assists pathologists and scientists in creating and exporting data for deep learning. We present a set of architectures for cell‐based segmentation/detection to quantify and analyse the trade‐offs between them, proving to be more accurate and less time consuming than traditional methods. This approach can identify the best tool to deliver the prognostic significance of ICOS protein expression