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Fawzi Hindi

Bio: Fawzi Hindi is an academic researcher from Florida Atlantic University. The author has contributed to research in topics: Coronavirus & Encephalopathy. The author has an hindex of 3, co-authored 3 publications receiving 491 citations.

Papers
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Journal ArticleDOI
21 Mar 2020-Cureus
TL;DR: A case of a 74-year-old patient who traveled from Europe to the United States and presented with encephalopathy and COVID-19 is reported, indicating a pandemic of coronavirus disease 2019.
Abstract: Coronavirus disease 2019 (COVID-19) is a pandemic. Neurological complications of COVID-19 have not been reported. Encephalopathy has not been described as a presenting symptom or complication of COVID-19. We report a case of a 74-year-old patient who traveled from Europe to the United States and presented with encephalopathy and COVID-19.

496 citations

Journal ArticleDOI
18 Feb 2021-Cureus
TL;DR: Wang et al. as discussed by the authors reported a case of Guillain-Barre syndrome (GBS) after receiving the first dose of Pfizer - COVID-19 vaccine.
Abstract: Since the first case of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was reported in Wuhan, China, in December 2019, Coronavirus - 19 (COVID-19) has become a global pandemic with multiple neurological complications. In December 2020, two vaccines have been approved in the United States for the prevention of COVID-19. We report a case of Guillain-Barre Syndrome (GBS) after receiving the first dose of Pfizer - COVID-19 vaccine.

137 citations

Journal ArticleDOI
02 May 2020-Cureus
TL;DR: The neurological complications of coronavirus disease 2019 (COVID-19) are being better understood as the pandemic progresses and CO VID-19 does not seem to cross the blood-brain barrier.
Abstract: The neurological complications of coronavirus disease 2019 (COVID-19) are being better understood as the pandemic progresses. We report a second case of a patient who presented with COVID-19 infection and encephalopathy to our institution. In addition, we report MRI brain and cerebrospinal fluid data. COVID-19 does not seem to cross the blood-brain barrier. The exact mechanisms of encephalopathy and pathological response of COVID-19 are unknown.

67 citations

Journal ArticleDOI
TL;DR: Over the coming days, her blood pressure normalized, and her neurologic symptoms significantly improved, and the patient was finally provided with a cause of her repetitive, life-threatening episodes of PRES.
Abstract: A tricenarian female with a past medical history of status epilepticus secondary to posterior reversible encephalopathy syndrome (PRES) of unknown etiology presented with a 2-week history of double vision, dizziness, elevated blood pressure, and altered mental status. On hospital day 2, she experienced status epilepticus, during which her blood pressure rose to 240/160 from her baseline of around 140/90. The patient was subsequently intubated for airway protection and transferred to the intensive care unit, where she was started on a nicardipine drip. Due to her history of thrombotic microangiopathy, empiric treatment with plasma exchange and prednisone was started but discontinued when ADAMTS13 came back negative. Urine metanephrines also were found to be negative. Computed tomography angiography of the abdomen showed left renal artery stenosis and stent was placed. Remarkably, over the coming days, her blood pressure normalized, and her neurologic symptoms significantly improved. As a result, antihypertensive medications were titrated down, and the patient was finally provided with a cause of her repetitive, life-threatening episodes of PRES.

1 citations


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Journal ArticleDOI
TL;DR: Research evaluating the direct neuropsychiatric consequences and the indirect effects on mental health is highly needed to improve treatment, mental health care planning and for preventive measures during potential subsequent pandemics.
Abstract: Background During the COVID-19 pandemic general medical complications have received the most attention, whereas only few studies address the potential direct effect on mental health of SARS-CoV-2 and the neurotropic potential. Furthermore, the indirect effects of the pandemic on general mental health are of increasing concern, particularly since the SARS-CoV-1 epidemic (2002–2003) was associated with psychiatric complications.

2,018 citations

Journal ArticleDOI
TL;DR: It is reported that the first presumptive case of COVID-19–associated acute necrotizing hemorrhagic encephalopathy is reported, a rare encephalopathic condition that has been associated with other viral infections but has yet to be demonstrated as a result of CO VID-19 infection.
Abstract: Since its introduction to the human population in December 2019, the coronavirus disease 2019 (COVID-19) pandemic has spread across the world with over 330,000 reported cases in 190 countries (1). While patients typically present with fever, shortness of breath, and cough, neurologic manifestations have been reported, although to a much lesser extent (2). We report the first presumptive case of COVID-19–associated acute necrotizing hemorrhagic encephalopathy, a rare encephalopathy that has been associated with other viral infections but has yet to be demonstrated as a result of COVID-19 infection.

1,210 citations

Journal ArticleDOI
TL;DR: The aim of this paper is to propose a robust technique for automatic detection of COVID-19 pneumonia from digital chest X-ray images applying pre-trained deep-learning algorithms while maximizing the detection accuracy.
Abstract: Coronavirus disease (COVID-19) is a pandemic disease, which has already caused thousands of causalities and infected several millions of people worldwide. Any technological tool enabling rapid screening of the COVID-19 infection with high accuracy can be crucially helpful to the healthcare professionals. The main clinical tool currently in use for the diagnosis of COVID-19 is the Reverse transcription polymerase chain reaction (RT-PCR), which is expensive, less-sensitive and requires specialized medical personnel. X-ray imaging is an easily accessible tool that can be an excellent alternative in the COVID-19 diagnosis. This research was taken to investigate the utility of artificial intelligence (AI) in the rapid and accurate detection of COVID-19 from chest X-ray images. The aim of this paper is to propose a robust technique for automatic detection of COVID-19 pneumonia from digital chest X-ray images applying pre-trained deep-learning algorithms while maximizing the detection accuracy. A public database was created by the authors combining several public databases and also by collecting images from recently published articles. The database contains a mixture of 423 COVID-19, 1485 viral pneumonia, and 1579 normal chest X-ray images. Transfer learning technique was used with the help of image augmentation to train and validate several pre-trained deep Convolutional Neural Networks (CNNs). The networks were trained to classify two different schemes: i) normal and COVID-19 pneumonia; ii) normal, viral and COVID-19 pneumonia with and without image augmentation. The classification accuracy, precision, sensitivity, and specificity for both the schemes were 99.7%, 99.7%, 99.7% and 99.55% and 97.9%, 97.95%, 97.9%, and 98.8%, respectively. The high accuracy of this computer-aided diagnostic tool can significantly improve the speed and accuracy of COVID-19 diagnosis. This would be extremely useful in this pandemic where disease burden and need for preventive measures are at odds with available resources.

1,117 citations

Journal ArticleDOI
TL;DR: Clinicians need to maintain close neurologic surveillance for prompt recognition of these complications of severe acute respiratory syndrome coronavirus type 2 neurologic involvement in hospitalized patients with COVID-19.
Abstract: Objective: The coronavirus disease 2019 (COVID-19) has spread worldwide since December 2019. Neurological symptoms have been reported as part of the clinical spectrum of the disease. We aim to determine whether neurological manifestations are common in hospitalized COVID-19 patients and to describe their main characteristics. Methods: We systematically review all patients diagnosed with COVID-19 admitted to hospital in a Spanish population during March 2020. Demographic characteristics, systemic and neurological clinical manifestations, and complementary tests were analyzed. Results: Of 841 patients hospitalized with COVID-19 (mean age 66.4 years, 56.2% men) 57.4% developed some form of neurological symptom. Nonspecific symptoms such as myalgias (17.2%), headache (14.1%), and dizziness (6.1%) were present mostly in the early stages of infection. Anosmia (4.9%) and dysgeusia (6.2%) tended to occur early (60% as the first clinical manifestation) and were more frequent in less severe cases. Disorders of consciousness occurred commonly (19.6%), mostly in older patients and in severe and advanced COVID-19 stages. Myopathy (3.1%), dysautonomia (2.5%), cerebrovascular diseases (1.7%), seizures (0.7%), movement disorders (0.7%), encephalitis (n=1), Guillain-Barre syndrome (n=1), and optic neuritis (n=1) were also reported, but less frequent. Neurological complications were the main cause of death in 4.1% of all deceased study subjects. Conclusions: Neurological manifestations are common in hospitalized COVID-19 patients. In our series, more than half of patients presented some form of neurological symptom. Clinicians need to maintain close neurological surveillance for prompt recognition of these complications. The investigation of the mechanisms and emerging consequences of SARS-CoV-2 neurological involvement require further studies.

563 citations

Journal ArticleDOI
TL;DR: This consensus statement provides an overarching framework assimilating evidence and likely requirements of multidisciplinary rehabilitation post COVID-19 illness, for a target population of active individuals, including military personnel and athletes.
Abstract: The highly infectious and pathogenic novel coronavirus (CoV), severe acute respiratory syndrome (SARS)-CoV-2, has emerged causing a global pandemic. Although COVID-19 predominantly affects the respiratory system, evidence indicates a multisystem disease which is frequently severe and often results in death. Long-term sequelae of COVID-19 are unknown, but evidence from previous CoV outbreaks demonstrates impaired pulmonary and physical function, reduced quality of life and emotional distress. Many COVID-19 survivors who require critical care may develop psychological, physical and cognitive impairments. There is a clear need for guidance on the rehabilitation of COVID-19 survivors. This consensus statement was developed by an expert panel in the fields of rehabilitation, sport and exercise medicine (SEM), rheumatology, psychiatry, general practice, psychology and specialist pain, working at the Defence Medical Rehabilitation Centre, Stanford Hall, UK. Seven teams appraised evidence for the following domains relating to COVID-19 rehabilitation requirements: pulmonary, cardiac, SEM, psychological, musculoskeletal, neurorehabilitation and general medical. A chair combined recommendations generated within teams. A writing committee prepared the consensus statement in accordance with the appraisal of guidelines research and evaluation criteria, grading all recommendations with levels of evidence. Authors scored their level of agreement with each recommendation on a scale of 0–10. Substantial agreement (range 7.5–10) was reached for 36 recommendations following a chaired agreement meeting that was attended by all authors. This consensus statement provides an overarching framework assimilating evidence and likely requirements of multidisciplinary rehabilitation post COVID-19 illness, for a target population of active individuals, including military personnel and athletes.

431 citations