Post COVID-19 complications, adjunct therapy explored, and steroidal after effects

Sonkar, Charu; Hase, Vaishnavi; Banerjee, Debdas; Kumar, Awanish; Kumar, Rajesh; Jha, Hem Chandra

doi:10.1139/cjc-2021-0247

Cited by 3 publications

(2 citation statements)

References 222 publications

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“…Beyond the lungs, COVID-19 has consequences. When the virus enters the body, it affects the gastrointestinal, hepatobiliary, and other systems, which causes a variety of symptoms 13 . The patient in this study had acute pancreatitis associated with COVID-19 because the exocrine pancreas was affected by the infection, and elevated pancreatic enzyme levels, such as the serum amylase level, which was high at 483 U/l, and the serum lipase level, which was high at 397 U/l, were related to the severity of the COVID-19 infection and hemodynamic instability.…”

Section: Discussionmentioning

confidence: 99%

Acute pancreatitis in pregnancy: how was it determined whether it was caused by pregnancy or by COVID-19? A case report

Bereda

2023

Annals of Medicine &Amp; Surgery

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Background and importance: Acute pancreatitis is a pancreatic inflammatory condition that has the potential to cause serious morbidity. Acute pancreatitis is a relatively uncommon and potentially fatal pregnancy condition. Abdominal pain, pancreatic damage, or acute pancreatitis may all be related to the coronavirus disease 2019 (COVID-19) infection. Case presentation: On 12 August 2022, a 33-year-old black woman, gravida three, para two, a housewife, was taken to the obstetric care unit at 24 weeks of pregnancy with a 1-week history of lethargy, fever, and a dry cough. Reverse transcriptase-PCR testing on a sample of her nasopharyngeal swab revealed the presence of the severe acute respiratory syndrome coronavirus 2 virus. An abdominal computed tomography scan indicated an atrophic pancreas with broad fatty infiltration, little fluid and fat stranding around the pancreas, and reactive lymph nodes. She received 24-h-long insulin infusion therapy in addition to potassium chloride administered intravenously. She received crystalloid isotonic intravenous fluid to treat her severe pancreatitis and stop the progression of acute respiratory distress syndrome. Clinical discussion: Severe consequences of the severe acute respiratory syndrome coronavirus 2 infection are more likely to affect pregnant women who already have diabetes as concomitant conditions. Acute pancreatitis caused by COVID-19 is uncommon and can occur after a mild infection or even after the viral infection has cleared up. Lipasemia typically manifests following the peak of systemic inflammatory activity that triggers the release of pancreatic enzymes like lipase. Conclusion: Symptoms of the digestive system, including anorexia, nausea, vomiting, stomach pain, and diarrhea, can be brought on by the COVID-19 infection. She had diarrhea as a clinical symptom, showing that the COVID-19 infection was the root cause of her acute pancreatitis. She had also refrained from vomiting, demonstrating that her acute pancreatitis was not related to pregnancy.

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Section: Discussionmentioning

confidence: 99%

Acute pancreatitis in pregnancy: how was it determined whether it was caused by pregnancy or by COVID-19? A case report

Bereda

2023

Annals of Medicine &Amp; Surgery

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“…COVID-19 is linked to a high rate of secondary fungal and bacterial infections, mostly due to immunological dysregulation. Additionally, the extensive use of broad-spectrum antibiotics, monoclonal antibodies, and steroids as part of the COVID-19 treatment protocol may result in developing or worsening preexisting fungal illnesses [13][14][15]. Physicians should be aware of the likelihood of invasive secondary fungal infections in patients with COVID-19, particularly those with prior risk factors.…”

Section: Discussionmentioning

confidence: 99%

Magnetic Resonance Imaging Features of Rhino-Orbito-Cerebral Mucormycosis in Post-COVID-19 Patients: Radio-Pathological Correlation

et al. 2023

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There has been a notable increase in rhino-orbito-cerebral mucormycosis (ROCM) post-coronavirus disease 2019 (COVID-19), which is an invasive fungal infection with a fatal outcome. Magnetic resonance imaging (MRI) is a valuable tool for early diagnosis of ROCM and assists in the proper management of these cases. This study aimed to describe the characteristic MRI findings of ROCM in post-COVID-19 patients to help in the early diagnosis and management of these patients. This retrospective descriptive study was conducted at a single hospital and included 52 patients with COVID-19 and a histopathologically proven ROCM infection who were referred for an MRI of the paranasal sinuses (PNS) due to sino-orbital manifestations. Two radiologists reviewed all the MR images in consensus. The diagnosis was confirmed by histopathological examination. The maxillary sinus was the most commonly affected PNS (96.2%). In most patients (57.7%), multiple sinuses were involved with the black turbinate sign on postcontrast images. Extrasinus was evident in 43 patients with orbital involvement. The pterygopalatine fossa was involved in four patients. Three patients had cavernous sinus extension, two had pachymeningeal enhancement, and one had epidural collection. The alveolar margin was affected in two patients, and five patients had an extension to the cheek. The awareness of radiologists by the characteristic MRI features of ROCM in post-COVID-19 patients helps in early detection, early proper management, and prevention of morbid complications.

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RETRACTED: A Novel Vision Transformer Model for Rumor Prediction in COVID-19 Data CT Images

Mukiri,

Burra

2024

IFS

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The convergence of healthcare and deep learning has engendered transformative solutions for myriad medical challenges. Amid the COVID-19 pandemic, innovative strategies are imperative to mitigate the propagation of misinformation and myths, which can exacerbate the crisis. This study embarks on a pioneering research quest, harnessing advanced deep learning methodologies, including the novel Vision Transformer (ViT) model and state-of-the-art (SOTA) models, to predict and quell the dissemination of rumors within the COVID-19 milieu. By synergizing the capabilities of Vision Transformers (ViTs) with cutting-edge SOTA models, the proposed approach strives to elevate the precision of information disseminated through traditional and digital media platforms, thereby cultivating informed decision-making and public awareness. Central to this inquiry is the development of a bespoke vision transformer architecture, adeptly tailored to scrutinize CT images associated with COVID-19 cases. This model adeptly captures intricate patterns, anomalies, and features within the images, facilitating precise virus detection. Extending beyond conventional methodologies, the model adroitly harnesses the scalability and hierarchical learning intrinsic to deep learning frameworks. It delves into spatial relationships and finer intricacies within CT scans. An extensive dataset of COVID-19-related CT images, encompassing diverse instances, stages, and severities, is meticulously curated to fully exploit the innovative potential of the vision transformer model. Thorough training, validation, and testing refine the model’s predictive prowess. Techniques like data augmentation and transfer learning bolster generalization and adaptability for real-world scenarios. The efficacy of this research is gauged through comprehensive assessments, encompassing sensitivity, specificity, and prediction accuracy. Comparative analyses against existing methods underscore the superior performance of the novel model, highlighting its transformative influence on predicting and mitigating rumor propagation during the COVID-19 pandemic. Enhanced interpretability sheds light on the decision-making process, augmenting the model’s utility within real-world decision support systems. By harnessing the transformative capabilities of vision transformers and synergizing them with advanced SOTA models, this study offers a robust solution to counter the dissemination of misinformation during the pandemic. The model’s proficiency in discerning intricate patterns in COVID-19-related CT scans signifies a pivotal leap toward combating the infodemic. This endeavor culminates in more precise public health communication and judicious decision-making, ushering in a new era of leveraging cutting-edge deep learning for societal well-being amidst the challenges posed by the COVID-19 era.

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Post COVID-19 complications, adjunct therapy explored, and steroidal after effects

Cited by 3 publications

References 222 publications

Acute pancreatitis in pregnancy: how was it determined whether it was caused by pregnancy or by COVID-19? A case report

Acute pancreatitis in pregnancy: how was it determined whether it was caused by pregnancy or by COVID-19? A case report

Magnetic Resonance Imaging Features of Rhino-Orbito-Cerebral Mucormycosis in Post-COVID-19 Patients: Radio-Pathological Correlation

RETRACTED: A Novel Vision Transformer Model for Rumor Prediction in COVID-19 Data CT Images

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