Polyradiculonévrite chronique à début aigu post vaccination par AstraZeneca

Introduction La polyradiculonévrite chronique (PRNC) peut débuter par plusieurs modes. Dans 1/4 des cas, elle débute de manière aiguë, imitant un Guillain-Barré, comme ce cas survenant après une vaccination par AstraZeneca. Observation Il s'agit d'un homme âgé de 41 ans, sans antécédents, qui a consulté pour une faiblesse avec paresthésies des 4 membres d'installation rapidement progressivement, 15jours après avoir reçu sa dose de vaccination contre le Covid-19 par AstraZeneca. L'examen neurologique a objectivé un déficit moteur proximal et distal des 4 membres prédominant aux niveaux des membres inférieurs avec une hypoesthésie en chaussettes associées à une atteinte de la sensibilité profonde. L'ENMG était en faveur de PRN aiguë. La ponction lombaire (PL) a montré une dissociation albumino-cytologique avec une hyperprotéinorachie à 4,95g/L. Il a reçu 2 séances d'échange plasmatique avec amélioration partielle. L'évolution a été marquée par l'aggravation de la symptomatologie initiale après un intervalle de 3mois et demi. L'ENMG a montré une aggravation électrique avec des signes d'une PRNC répondant aux critères de l'EAN/PNS de 2021. Une hyperprotéinorachie à 6,8g/L a été retrouvée à la 2e PL. Le bilan étiologique des maladies associées était négatif. Le patient a reçu des cures de veinoglobulines avec une amélioration nette de sa symptomatologie. Discussion Cette observation illustre deux particularités : Premièrement, le patient avait une PRNC à début aigu qui demeure une mode de révélation rare. Deuxièmement, malgré un bilan étiologique négatif, la notion de vaccination par l'AstraZeneca nous a fait penser à son implication possible. Cependant, il était difficile de déterminer si la PRNC était liée à la vaccination ou s'il s'agissait d'une coïncidence. Conclusion Ce cas peut élargir la liste des agents causales de certaines maladies neurologiques auto-immunes tel que la PRNC, mais d'autre études sont nécessaires pour bien élucider le mécanisme physiopathologique.

Detection of COVID-19 from CT and Chest X-ray Images Using Deep Learning Models.

Coronavirus 2019 (COVID-19) is a highly transmissible and pathogenic virus caused by severe respiratory syndrome coronavirus 2 (SARS-CoV-2), which first appeared in Wuhan, China, and has since spread in the whole world. This pathology has caused a major health crisis in the world. However, the early detection of this anomaly is a key task to minimize their spread. Artificial intelligence is one of the approaches commonly used by researchers to discover the problems it causes and provide solutions. These estimates would help enable health systems to take the necessary steps to diagnose and track cases of COVID. In this review, we intend to offer a novel method of automatic detection of COVID-19 using tomographic images (CT) and radiographic images (Chest X-ray). In order to improve the performance of the detection system for this outbreak, we used two deep learning models: the VGG and ResNet. The results of the experiments show that our proposed models achieved the best accuracy of 99.35 and 96.77% respectively for VGG19 and ResNet50 with all the chest X-ray images.

Guillain-Barré syndrome following the first dose of Pfizer-BioNTech COVID-19 vaccine: case report and review of reported cases.

BACKGROUND: Since the SARS-CoV-2 pandemic has started in December 2019, millions of people have been infected all over the world. Vaccination is the most efficient tool to end this pandemic, but vaccine surveillance is necessary to identify side effects. Some studies have shown that neurological complications after COVID-19 vaccination are rare and dominated by demyelinating disease. CASE PRESENTATION: We present a case of a 67-year-old man who presented 7 days following his first dose of Pfizer-BioNTech COVID-19 vaccine a rapidly progressive ascending muscle weakness. The diagnosis of Guillain-Barré syndrome (GBS) was confirmed according to the clinical features, the albumino-cytological dissociation in the cerebrospinal fluid, and the electroneuromyography findings. The workup for all known infections associated with immune-mediated GBS was negative. The patient received treatment with intravenous immunoglobulin. Neurological examination 1 month after discharge showed full recovery and he regained his baseline functional status. CONCLUSIONS: As far as we know, this is the first reported case in Tunisia. Although extremely rare, neurologists should remain vigilant for acute inflammatory demyelinating polyradiculoneuropathy after COVID-19 vaccination.

Detection Methods of COVID-19.

Since being first detected in China, coronavirus disease 2019 (COVID-19) has spread rapidly across the world, triggering a global pandemic with no viable cure in sight. As a result, national responses have focused on the effective minimization of the spread. Border control measures and travel restrictions have been implemented in a number of countries to limit the import and export of the virus. The detection of COVID-19 is a key task for physicians. The erroneous results of early laboratory tests and their delays led researchers to focus on different options. Information obtained from computed tomography (CT) and radiological images is important for clinical diagnosis. Therefore, it is worth developing a rapid method of detection of viral diseases through the analysis of radiographic images. We propose a novel method of detection of COVID-19. The purpose is to provide clinical decision support to healthcare workers and researchers. The article is to support researchers working on early detection of COVID-19 as well as similar viral diseases.