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Direct oral anticoagulants (DOA) have been placed on the market as an alternative to VKA in prevention and treatment of thromboembolic diseases. The reason is mainly to address a major health problem caused by the VKA: a significant risk of fatal bleeding, mainly intracranial. Even if this new class of anticoagulant drugs has shown some benefits, the issue of hemorrhage remains important. This raises the question of the interest of an antidote that would act rapidly and specifically to antagonize the anticoagulant effect. For example, in cases where the patients have a bleeding that can be life threatening or in cases of urgent surgical operations representing a high risk of hemorrhage. Three antidotes are currently being developed to meet that limit. Idarucizumab, antidote of dabigatran, andexanet alfa, antidote of inhibitors of factor Xa, and ciraprantag, universal antidote. The purpose of this thesis is to write a literature review evaluating the effectiveness and safety of those three antidotes and the potential added value that they bring in the management of bleeding and urgent surgeries under DOA. Idaruzimab has already been introduced in management guidelines. Andexaner alfa and the ciraprantag have also shown encouraging results. However, they require further researchs their introduction on the market. Les anticoagulants oraux directs (AOD) ont été mis sur le marché en alternative aux AVK dans la prévention et le traitement des maladies thromboemboliques essentiellement pour répondre à un problème de santé posé par ces derniers : un risque important de saignements mortels, essentiellement intracrâniens. Si cette nouvelle classe a montré un léger bénéfice, la problématique d’hémorragies reste de mise. Cela a donc mené à se poser la question de l’intérêt d’un antidote qui agirait de façon rapide et spécifique pour antagoniser l’effet anticoagulant dans des cas où les patients présentent un saignement menaçant leur pronostic vital ou en cas de chirurgies urgentes à risque hémorragique élevé 3 antidotes sont actuellement en développement afin de répondre à cette limite. L’idarucizumab, antidote du dabigatran, l’andexanet alfa, antidote des inhibiteurs du facteur Xa et le ciraprantag, antidote universel. Le but de ce mémoire est d’effectuer une revue de la littérature permettant d’évaluer l’efficacité et la sécurité de ces 3 antidotes ainsi que la plus-value éventuelle que ceux-ci apportent dans la prise en charge des saignements et chirurgies urgentes sous AOD. Si l’idarucizumab a déjà été introduit dans des guidelines de prise en charge, l’andexanet alfa et le ciraprantag, bien qu’ils aient présenté des résultats encourageants, nécessitent des études complémentaires avant leur mise sur le marché.
Antidotes --- Anticoagulants --- Intracranial Hemorrhage, Hypertensive --- Hemorrhage --- Emergency Treatment
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The Special Issue “Experimental and Clinical Treatment of Subarachnoid Hemorrhage after the Rupture of Saccular Intracranial Aneurysms” provides an excellent insight into the many facets of aneurysmal subarachnoid hemorrhage. It includes three original papers, three reviews, two case reports and one technical note. This book represents a compilation of important clinical and preclinical papers by innovative researchers that enhance our understanding of subarachnoid hemorrhage and intracranial aneurysms.
Medicine --- Surgery --- syncope --- acute myeloid leukemia --- intracranial hemorrhage --- hyperleukocytosis --- blast crisis --- subarachnoid hemorrhage --- IL-1α --- inflammation --- animal model --- growth --- aneurysm rupture --- saccular --- intracranial aneurysm --- aneurysm --- cerebral aneurysm --- aneurysmal subarachnoid hemorrhage --- delayed cerebral vasospasm --- ischemic stroke --- Sartans --- therapeutic interventions --- ventriculomegaly --- diffusion tensor imaging --- corticospinal tract --- decellularization --- rabbits --- vessel wall --- aneurysm clipping --- posterior circulation aneurysm --- temporary balloon occlusion --- intraoperative digital subtraction angiography --- hybrid operating room --- estrogen --- female --- endothelial cell --- macrophage --- n/a
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The Special Issue “Experimental and Clinical Treatment of Subarachnoid Hemorrhage after the Rupture of Saccular Intracranial Aneurysms” provides an excellent insight into the many facets of aneurysmal subarachnoid hemorrhage. It includes three original papers, three reviews, two case reports and one technical note. This book represents a compilation of important clinical and preclinical papers by innovative researchers that enhance our understanding of subarachnoid hemorrhage and intracranial aneurysms.
syncope --- acute myeloid leukemia --- intracranial hemorrhage --- hyperleukocytosis --- blast crisis --- subarachnoid hemorrhage --- IL-1α --- inflammation --- animal model --- growth --- aneurysm rupture --- saccular --- intracranial aneurysm --- aneurysm --- cerebral aneurysm --- aneurysmal subarachnoid hemorrhage --- delayed cerebral vasospasm --- ischemic stroke --- Sartans --- therapeutic interventions --- ventriculomegaly --- diffusion tensor imaging --- corticospinal tract --- decellularization --- rabbits --- vessel wall --- aneurysm clipping --- posterior circulation aneurysm --- temporary balloon occlusion --- intraoperative digital subtraction angiography --- hybrid operating room --- estrogen --- female --- endothelial cell --- macrophage --- n/a
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The Special Issue “Experimental and Clinical Treatment of Subarachnoid Hemorrhage after the Rupture of Saccular Intracranial Aneurysms” provides an excellent insight into the many facets of aneurysmal subarachnoid hemorrhage. It includes three original papers, three reviews, two case reports and one technical note. This book represents a compilation of important clinical and preclinical papers by innovative researchers that enhance our understanding of subarachnoid hemorrhage and intracranial aneurysms.
Medicine --- Surgery --- syncope --- acute myeloid leukemia --- intracranial hemorrhage --- hyperleukocytosis --- blast crisis --- subarachnoid hemorrhage --- IL-1α --- inflammation --- animal model --- growth --- aneurysm rupture --- saccular --- intracranial aneurysm --- aneurysm --- cerebral aneurysm --- aneurysmal subarachnoid hemorrhage --- delayed cerebral vasospasm --- ischemic stroke --- Sartans --- therapeutic interventions --- ventriculomegaly --- diffusion tensor imaging --- corticospinal tract --- decellularization --- rabbits --- vessel wall --- aneurysm clipping --- posterior circulation aneurysm --- temporary balloon occlusion --- intraoperative digital subtraction angiography --- hybrid operating room --- estrogen --- female --- endothelial cell --- macrophage
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More than 60 papers written by internationally recognized experts cover the broad spectrum of brain edema. The main topics treated are: ischemia & hemorrhage, trauma (experimental and clinical), cerebral hemorrhage, tumor, hydrocephlaus & intracranial pressure (ICP), neuromonitoring & neuroimaging, treatments, blood brain barrier, and miscellaneous.
Brain -- Wounds and injuries -- Congresses. --- Brain edema -- Congresses. --- Brain injuries -- Congresses. --- Cerebral edema -- Congresses. --- Intracranial Hemorrhage, Traumatic --- Brain Injuries --- Cerebrovascular Disorders --- Brain Diseases --- Cerebrospinal Fluid Pressure --- Intracranial Hypertension --- Craniocerebral Trauma --- Nervous System Physiological Phenomena --- Central Nervous System Diseases --- Intracranial Hemorrhages --- Vascular Diseases --- Trauma, Nervous System --- Nervous System Diseases --- Musculoskeletal and Neural Physiological Phenomena --- Cardiovascular Diseases --- Wounds and Injuries --- Diseases --- Phenomena and Processes --- Brain Hemorrhage, Traumatic --- Intracranial Pressure --- Brain Edema --- Brain Ischemia --- Hydrocephalus --- Surgery & Anesthesiology --- Health & Biological Sciences --- Surgery - General and By Type --- Cerebral edema --- Brain --- Physiology --- Cerebrum --- Mind --- Brain edema --- Edema --- Medicine. --- Neurosurgery. --- Medicine & Public Health. --- Central nervous system --- Head --- Nerves --- Neurosurgery --- Surgery --- Nervous system --- Surgery.
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Brain hemorrhages is an international, open-access journal that aims to provide an academic exchange platform for neurology, specifically brain hemorrhages.
Cerebrovascular disease --- Neurology --- Neurological emergencies --- Emergencies, Neurological --- Neurologic emergencies --- Medical emergencies --- Nervous system --- Apoplexy --- Brain --- Cerebral circulation disorders --- Cerebral vascular accident --- Cerebrovascular accident --- Cerebrovascular disorders --- Cerebrovascular syndrome --- CVA (Disease) --- Stroke --- Neglect (Neurology) --- Diseases --- Blood-vessels --- Intracranial Hemorrhages. --- Cerebrovascular disease. --- Neurological emergencies. --- Neurology. --- Hemorrhage --- Medicine --- Neuropsychiatry --- Posterior Fossa Hemorrhage --- Brain Hemorrhage --- Hemorrhage, Intracranial --- Brain Hemorrhages --- Hemorrhage, Brain --- Hemorrhage, Posterior Fossa --- Hemorrhages, Brain --- Hemorrhages, Intracranial --- Hemorrhages, Posterior Fossa --- Intracranial Hemorrhage --- Posterior Fossa Hemorrhages --- Cerebrum --- Mind --- Central nervous system --- Head --- brain --- hemorrhage --- cerebrovascular disease --- stroke --- neurology --- neurosurgery --- Hemorrhage. --- Cerebral hemorrhage
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Biomedicine is a multidisciplinary branch of medical science that consists of many scientific disciplines, e.g., biology, biotechnology, bioinformatics, and genetics; moreover, it covers various medical specialties. In recent years, this field of science has developed rapidly. This means that a large amount of data has been generated, due to (among other reasons) the processing, analysis, and recognition of a wide range of biomedical signals and images obtained through increasingly advanced medical imaging devices. The analysis of these data requires the use of advanced IT methods, which include those related to the use of artificial intelligence, and in particular machine learning. It is a summary of the Special Issue “Machine Learning for Biomedical Application”, briefly outlining selected applications of machine learning in the processing, analysis, and recognition of biomedical data, mostly regarding biosignals and medical images.
Research & information: general --- depthwise separable convolution (DSC) --- all convolutional network (ACN) --- batch normalization (BN) --- ensemble convolutional neural network (ECNN) --- electrocardiogram (ECG) --- MIT-BIH database --- cephalometric landmark --- X-ray --- deep learning --- ResNet --- registration --- electronic human-machine interface --- blindness --- gesture recognition --- inertial sensors --- IMU --- dynamic contrast-enhanced MRI --- kidney perfusion --- glomerular filtration rate --- pharmacokinetic modeling --- multi-layer perceptron --- parameter estimation --- instance segmentation --- computer vision --- retinal blood vessel image --- computer-aided diagnosis --- U-shaped neural network --- residual learning --- semantic gap --- intracranial hemorrhage --- computed tomography --- random forest --- sleep disorder --- obstructive sleep disorder --- overnight polysomnogram --- EEG --- EMG --- ECG --- HRV signals --- Electronic Medical Record (EMR) --- disease prediction --- Amyotrophic Lateral Sclerosis (ALS) --- weighted Jaccard index (WJI) --- lung cancer --- CT images --- CNN --- pulmonary fibrosis --- radiotherapy --- n/a
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Biomedicine is a multidisciplinary branch of medical science that consists of many scientific disciplines, e.g., biology, biotechnology, bioinformatics, and genetics; moreover, it covers various medical specialties. In recent years, this field of science has developed rapidly. This means that a large amount of data has been generated, due to (among other reasons) the processing, analysis, and recognition of a wide range of biomedical signals and images obtained through increasingly advanced medical imaging devices. The analysis of these data requires the use of advanced IT methods, which include those related to the use of artificial intelligence, and in particular machine learning. It is a summary of the Special Issue “Machine Learning for Biomedical Application”, briefly outlining selected applications of machine learning in the processing, analysis, and recognition of biomedical data, mostly regarding biosignals and medical images.
depthwise separable convolution (DSC) --- all convolutional network (ACN) --- batch normalization (BN) --- ensemble convolutional neural network (ECNN) --- electrocardiogram (ECG) --- MIT-BIH database --- cephalometric landmark --- X-ray --- deep learning --- ResNet --- registration --- electronic human-machine interface --- blindness --- gesture recognition --- inertial sensors --- IMU --- dynamic contrast-enhanced MRI --- kidney perfusion --- glomerular filtration rate --- pharmacokinetic modeling --- multi-layer perceptron --- parameter estimation --- instance segmentation --- computer vision --- retinal blood vessel image --- computer-aided diagnosis --- U-shaped neural network --- residual learning --- semantic gap --- intracranial hemorrhage --- computed tomography --- random forest --- sleep disorder --- obstructive sleep disorder --- overnight polysomnogram --- EEG --- EMG --- ECG --- HRV signals --- Electronic Medical Record (EMR) --- disease prediction --- Amyotrophic Lateral Sclerosis (ALS) --- weighted Jaccard index (WJI) --- lung cancer --- CT images --- CNN --- pulmonary fibrosis --- radiotherapy --- n/a
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Biomedicine is a multidisciplinary branch of medical science that consists of many scientific disciplines, e.g., biology, biotechnology, bioinformatics, and genetics; moreover, it covers various medical specialties. In recent years, this field of science has developed rapidly. This means that a large amount of data has been generated, due to (among other reasons) the processing, analysis, and recognition of a wide range of biomedical signals and images obtained through increasingly advanced medical imaging devices. The analysis of these data requires the use of advanced IT methods, which include those related to the use of artificial intelligence, and in particular machine learning. It is a summary of the Special Issue “Machine Learning for Biomedical Application”, briefly outlining selected applications of machine learning in the processing, analysis, and recognition of biomedical data, mostly regarding biosignals and medical images.
Research & information: general --- depthwise separable convolution (DSC) --- all convolutional network (ACN) --- batch normalization (BN) --- ensemble convolutional neural network (ECNN) --- electrocardiogram (ECG) --- MIT-BIH database --- cephalometric landmark --- X-ray --- deep learning --- ResNet --- registration --- electronic human-machine interface --- blindness --- gesture recognition --- inertial sensors --- IMU --- dynamic contrast-enhanced MRI --- kidney perfusion --- glomerular filtration rate --- pharmacokinetic modeling --- multi-layer perceptron --- parameter estimation --- instance segmentation --- computer vision --- retinal blood vessel image --- computer-aided diagnosis --- U-shaped neural network --- residual learning --- semantic gap --- intracranial hemorrhage --- computed tomography --- random forest --- sleep disorder --- obstructive sleep disorder --- overnight polysomnogram --- EEG --- EMG --- ECG --- HRV signals --- Electronic Medical Record (EMR) --- disease prediction --- Amyotrophic Lateral Sclerosis (ALS) --- weighted Jaccard index (WJI) --- lung cancer --- CT images --- CNN --- pulmonary fibrosis --- radiotherapy
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Over the past three decades, the diagnosis and treatment of stroke has changed at a phenomenal rate since the first use of CT scans and early studies using thrombolytic agents. New investigative procedures help direct patient selection for specific therapies and may substantially increase the chance of a successful therapeutic outcome. These advances in treatment have led to a paradigm shift in the way stroke victims are diagnosed and cared for.Specialists have seen the introduction of a range of new therapies for the management of ischemic stroke such as mechanical embolectomy and other cathe
Brain Ischemia -- Atlases. --- Cerebral ischemia -- Atlases. --- Cerebrovascular disease -- Atlases. --- Intracranial Hemorrhages -- Atlases. --- Stroke -- Atlases. --- Transient ischemic attack -- Atlases. --- Stroke --- Intracranial Hemorrhages --- Brain Ischemia --- Cerebrovascular Disorders --- Hemorrhage --- Vascular Diseases --- Brain Diseases --- Pathologic Processes --- Pathological Conditions, Signs and Symptoms --- Central Nervous System Diseases --- Cardiovascular Diseases --- Nervous System Diseases --- Diseases --- Nervous System Disorders --- Neurological Disorders --- Neurologic Disorders --- Disease, Nervous System --- Diseases, Nervous System --- Disorder, Nervous System --- Disorder, Neurologic --- Disorder, Neurological --- Disorders, Nervous System --- Disorders, Neurologic --- Disorders, Neurological --- Nervous System Disease --- Nervous System Disorder --- Neurologic Disorder --- Neurological Disorder --- Cardiovascular Disease --- Disease, Cardiovascular --- Diseases, Cardiovascular --- CNS Diseases --- Central Nervous System Disorders --- CNS Disease --- Symptoms and General Pathology --- Pathological Processes --- Processes, Pathologic --- Processes, Pathological --- Brain Disorders --- CNS Disorders, Intracranial --- Central Nervous System Disorders, Intracranial --- Central Nervous System Intracranial Disorders --- Encephalon Diseases --- Encephalopathy --- Intracranial CNS Disorders --- Intracranial Central Nervous System Disorders --- Brain Disease --- Brain Disorder --- CNS Disorder, Intracranial --- Encephalon Disease --- Encephalopathies --- Intracranial CNS Disorder --- Disease, Vascular --- Diseases, Vascular --- Vascular Disease --- Bleeding --- Hemorrhages --- Cerebrovascular Diseases --- Cerebrovascular Insufficiency --- Cerebrovascular Occlusion --- Brain Vascular Disorders --- Intracranial Vascular Disorders --- Vascular Diseases, Intracranial --- Brain Vascular Disorder --- Cerebrovascular Disease --- Cerebrovascular Disorder --- Cerebrovascular Insufficiencies --- Cerebrovascular Occlusions --- Disease, Cerebrovascular --- Diseases, Cerebrovascular --- Insufficiencies, Cerebrovascular --- Insufficiency, Cerebrovascular --- Intracranial Vascular Disease --- Intracranial Vascular Diseases --- Intracranial Vascular Disorder --- Occlusion, Cerebrovascular --- Occlusions, Cerebrovascular --- Vascular Disease, Intracranial --- Vascular Disorder, Brain --- Vascular Disorder, Intracranial --- Vascular Disorders, Brain --- Vascular Disorders, Intracranial --- Encephalopathy, Ischemic --- Ischemia, Cerebral --- Cerebral Ischemia --- Ischemic Encephalopathy --- Brain Ischemias --- Cerebral Ischemias --- Ischemia, Brain --- Ischemias, Cerebral --- Ischemic Encephalopathies --- Posterior Fossa Hemorrhage --- Brain Hemorrhage --- Hemorrhage, Intracranial --- Brain Hemorrhages --- Hemorrhage, Brain --- Hemorrhage, Posterior Fossa --- Hemorrhages, Brain --- Hemorrhages, Intracranial --- Hemorrhages, Posterior Fossa --- Intracranial Hemorrhage --- Posterior Fossa Hemorrhages --- CVA (Cerebrovascular Accident) --- Cerebrovascular Accident, Acute --- Cerebrovascular Stroke --- Stroke, Acute --- Apoplexy --- Cerebral Stroke --- Cerebrovascular Accident --- Cerebrovascular Apoplexy --- Vascular Accident, Brain --- Acute Cerebrovascular Accident --- Acute Cerebrovascular Accidents --- Acute Stroke --- Acute Strokes --- Apoplexy, Cerebrovascular --- Brain Vascular Accident --- Brain Vascular Accidents --- CVAs (Cerebrovascular Accident) --- Cerebral Strokes --- Cerebrovascular Accidents --- Cerebrovascular Accidents, Acute --- Cerebrovascular Strokes --- Stroke, Cerebral --- Stroke, Cerebrovascular --- Strokes --- Strokes, Acute --- Strokes, Cerebral --- Strokes, Cerebrovascular --- Vascular Accidents, Brain --- Neurology --- Cardiology --- Central Nervous System Disease --- Central Nervous System Disorder --- Adverse Cardiac Event --- Cardiac Events --- Major Adverse Cardiac Events --- Adverse Cardiac Events --- Cardiac Event --- Cardiac Event, Adverse --- Cardiac Events, Adverse --- Event, Cardiac --- Stroke. --- Intracranial Hemorrhages. --- Brain Ischemia. --- Cerebrovascular Disorders. --- Hemorrhage. --- Vascular Diseases. --- Brain Diseases. --- Pathologic Processes. --- Pathological Conditions, Signs and Symptoms. --- Central Nervous System Diseases. --- Cardiovascular Diseases. --- Nervous System Diseases. --- Disease.
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