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Geisler Valentin posted an update 6 months, 4 weeks ago
While coronary artery embolism remains an infrequent cause of myocardial infarction (MI), it may present in patients at otherwise low risk for coronary artery disease. When clinicians apply typical risk stratification in these cases, they may be led away from a full evaluation for acute coronary syndrome (ACS). A diagnosis of MI in an otherwise healthy patient should prompt consideration of embolic sources, including Lambl’s excrescences (LEs), and echocardiographic evaluation may be necessary to make a final diagnosis. We present a case of LEs in an otherwise healthy 43-year-old male presenting with chest pain and elevated cardiac enzymes, and also review the cases of this rare event found in the literature.Parkinsonism developed owing to viruses is one of the important causes of secondary parkinsonism. After the Spanish flu pandemic, the increase in the number of parkinsonian cases in the long term has drawn attention on the relationship between viruses and parkinsonism. For this reason, the relationship between influenza and parkinsonism has been studied most. Nowadays in which we are experiencing the COVID-19 pandemic, scientists, based on the experiences gained from the Spanish flu pandemic, have drawn attention to the fact that the third wave of the pandemic might be parkinsonism. However, as we have reviewed in the literature, acute parkinsonism due to COVID-19 was not reported during this pandemic. Here, we present a case in which signs of acute parkinsonism developed on the 3rd day of the illness and neurological symptoms regressed with convalescent plasma treatment.Central neurogenic hyperventilation (CNH) is a neurogenic disorder rarely described within Emergency Medicine literature. CNH is a primary cause of hyperventilation, most commonly due to primary central nervous system neoplasms. Patient presentation varies based on the underlying cause, and may present with a sole chief complaint of dyspnea. We present a case of an adult male with a history of deep vein thrombosis, anticoagulated on apixaban, and extensively metastatic renal cell carcinoma who presented with a two-week history of dyspnea. Evaluation in the emergency department showed a primary respiratory alkalosis with a compensatory metabolic acidosis. Diagnostic work-up failed to reveal a cardiac, pulmonary, metabolic, or toxic cause. find more During the emergency department course, the patient became dysarthric and altered, at which point, computed tomography scan of the head revealed a pontine hemorrhage. The hemorrhage was stabilized with prothrombin complex concentrate, but the patient’s dyspnea and mental status deteriorated throughout the course of his hospitalization. While the cause of the patient’s hemorrhage was not elucidated, given the patient’s widely metastatic disease, it was presumed to be secondary to metastasis. Our case highlights both a unique cause of a rare disorder of hyperventilation, and a diagnostic challenge to the emergency medicine provider. It is important to consider central causes of hyperventilation in patients with dyspnea and neurologic symptoms.With the increasing popularity of waste to energy conversion, demand for large-scale operation of anaerobic digestors has emerged in the market. However, the process instabilities in anaerobic digestors limit the expansion of facilities to high loading rates. The irregularities in the process can be addressed directly by altering the feedstock characteristics provided an on-hand, robust, and sensitive monitoring device is available. In this context, the bioelectrochemical system has emerged as an excellent tool for monitoring and optimizing the anaerobic process within the reactor. This article reviews the gradual evolution in techniques and approaches for monitoring of anaerobic digestion (AD) process. An analysis of the recently popular biosensing techniques has been done with a focus on the bioelectrochemical monitoring system and its operation mode. A brief attempt to highlight the current challenges in the field of bioelectrochemical process monitoring for AD has also been made, which can be supportive of future research.Neuronal function and differentiation are tightly regulated by both genome and epigenome. Based on the environmental information the epigenetic changes occur. Neurodegeneration is the consequence of dysregulation of both the genome and epigenome. In this study, we saw different types of alterations of epigenome present in neuronal cells of different model organisms for neurodegenerative disorders. The epigenetic modifications including chromatin modification, DNA methylation, and changes in regulatory RNAs (miRNA) are having a great impact on neurodegenerative disorders as well as memory. The effects of these re-editing in the neuronal cells cause Alzheimer’s disease, Parkinson’s disease, Huntington’s disease but an unusual form of neuroepigenetics has been seen in Prion Disease. Subsequently, for the development of treatment of these diseases, epigenetic modifications should be kept in mind. Although until now many reports came on drug discovery inhibiting histone deacetylases and DNA methyltransferases to reverse the epigenetic change but they lack targeted delivery and sometimes cause a cytotoxic effect on neuronal cells. In future, advancement in targeted and non-cytotoxic drugs should be the main focus for therapeutic treatment of the neurodegenerative disorders.The aim of this study is, firstly, to create a population-based 3D head shape model for the 0 to 2-year-old subjects to describe head shape variability within a normal population and, secondly, to test a combined normal and sagittal craniosynostosis (SAG) population model, able to provide surgical outcome assessment. 3D head shapes of patients affected by non-cranial related pathologies and of SAG patients (pre- and post-op) were extracted either from head CTs or 3D stereophotography scans, and processed. Statistical shape modelling (SSM) was used to describe shape variability using two models – a normal population model (MODEL1) and a combined normal and SAG population model (MODEL2). Head shape variability was described via principal components analysis (PCA) which calculates shape modes describing specific shape features. MODEL1 (n = 65) mode 1 showed statistical correlation (p less then 0.001) with width (125.8 ± 13.6 mm), length (151.3 ± 17.4 mm) and height (112.5 ± 11.1 mm) whilst mode 2 showed correlation with cranial index (83.