Background Coronavirus disease 2019 (COVID-19) vaccination has raised concerns about vaccine hesitancy in general and COVID-19 vaccine hesitancy in particular. Understanding the factors driving the uncertainty regarding vaccination against COVID-19 is crucial. Methods This cross-sectional study was designed to identify the perceptions and attitudes of healthcare workers (HCWs) towards COVID-19 vaccines and determine the predictive factors that affect their willingness to receive the COVID-19 vaccine. An online survey was distributed among HCWs to collect data assessing demographic and general characteristics of the participants and vaccine-related characteristics, including source of information about the vaccine. In addition to items assessing the perception of COVID-19, there were items on COVID-19 vaccines and attitude towards vaccination in general and towards COVID-19 vaccines in particular. Results The participants were classified according to their willingness to take the COVID-19 vaccine as follows: hesitant (41.9%), refusing (32.1%), and willing (26%). Statistically significant differences were observed among the three groups for the perception of COVID-19 vaccines, attitude towards vaccination in general, and COVID-19 vaccines in particular (p < 0.01). Conclusions Although the participants adequately perceived COVID-19 severity, prevention, and COVID-19 vaccine safety, they were widely hesitant or refused to be vaccinated. A multidimensional approach is required to increase the vaccine acceptability rate. Higher income and increased years of work experience are positive predictors of willingness to receive a vaccine. Thus, further studies addressing the scope of COVID-19 vaccine hesitancy are warranted as an initial step to build trust in COVID-19 vaccination efforts with continuous monitoring of attitudes and practices of HCWs towards COVID-19 vaccines in the future.

Background Being a newly emerging disease, little is known about its long-lasting post-COVID-19 consequences. The aim of this work is to assess the frequency, patterns, and determinants of persistent post-COVID-19 symptoms and to evaluate the value of a proposed novel COVID-19 symptom score. Patients with confirmed COVID-19 in a hospital-based registry were included in a cross-sectional study (the hospitals including Assiut University Hospital, Assiut Chest Hospital, Aswan University Hospital, and Aswan Specialized Hospital). The patient demographics, comorbid disorders, the mean duration since the onset of the symptoms, history of hospital or ICU admittance, and the treatment taken during the acute state, as well as symptom score before and after convalescence, were recorded. Results The most frequent constitutional and neurological symptoms were myalgia (60.0%), arthralgia (57.2%), restriction of daily activities (57.0%), and sleeping troubles (50.9%), followed by anorexia (42.6%), chest pain (32.6%), gastritis (32.3%), cough (29.3%), and dyspnea (29.1%). The mean total score of acute stage symptoms was 31.0 ± 16.3 while post-COVID 19 symptom score was 13.1 ± 12.6 (P < 0.001). The main determinants of the persistent post-COVID-19 symptoms were the need for oxygen therapy (P < 0.001), pre-existing hypertension (P = 0.039), chronic pulmonary disorders (P = 0.012), and any chronic comorbidity (P = 0.004). There was a correlation between the symptom score during the acute attack and post-COVID-19 stage (P < 0.001, r = 0.67). The acute phase score had 83.5% sensitivity and 73.3% specificity for the cutoff point > 18 to predict occurrence of post-COVID-19 symptoms. Conclusions COVID-19 can present with a diverse spectrum of long-term post-COVID-19 symptoms. Increased acute phase symptom severity and COVID-19 symptom score > 18 together with the presence of any comorbid diseases increase the risk for persistent post-COVID-19 manifestations and severity.

Background: COVID-19 can be accompanied by acute neurological complications of both central and peripheral nervous systems (CNS and PNS). In this study, we estimate the frequency of such complications among hospital inpatients with COVID-19 in Assiut and Aswan university hospitals. Materials and Methods: We screened all patients with suspected COVID-19 admitted from 1 June to 10 August 2020 to the university hospitals of Assiut and Aswan in Upper Egypt. Clinical and laboratory tests, CT/MRI of the chest and brain, and neurophysiology study were performed for each patient if indicated. Results: 439 patients had confirmed/probable COVID-19; neurological manifestations occurred in 222. Of these, 117 had acute neurological disease and the remainder had nonspecific neuropsychiatric symptoms such as headache, vertigo, and depression. The CNS was affected in 75 patients: 55 had stroke and the others had convulsions (5), encephalitis (6), hypoxic encephalopathy (4), cord myelopathy (2), relapse of multiple sclerosis (2), and meningoencephalitis (1). The PNS was affected in 42 patients: the majority had anosmia and ageusia (31) and the others had Guillain-Barré syndrome (4), peripheral neuropathy (3), myasthenia gravis (MG, 2), or myositis (2). Fever, respiratory symptoms, and headache were the most common general symptoms. Hypertension, diabetes mellitus, and ischemic heart disease were the most common comorbidities in patients with CNS affection. Conclusion: In COVID-19, both the CNS and PNS are affected. Stroke was the most common complication for CNS, and anosmia and/or ageusia were common for PNS diseases. However, there were 6 cases of encephalitis, 2 cases of spinal cord myelopathy, 2 cases of MG, and 2 cases of myositis.

Background Being highly infectious disease, COVID-19 exhausts most of efficient healthcare systems worldwide. Simple and rapid risk stratification methods are mandatory to recognize severe patients. This study aims to highlight the simple available laboratory biomarkers of good predictive value for COVID-19 severity. Results Three hundred fifty-one COVID-19 positive patients admitted to two University Hospitals between the 1st of June and the 31st of July 2020 were retrospectively collected and classified to severe and non-severe COVID-19 patients according to need for ICU admission. All basic laboratory biomarkers at time of admission were recorded. Of included patients, 145 (41.3%) needed ICU admission. Anemia, leukocytosis, lymphopenia, NLR, and PLR together with liver enzymes, INR, ferritin, CRP, and D-dimer were significantly higher in patients needed ICU admission (p < 0.001). However, by applying multivariate logistic regression, only anemia, high NLR, high PLR, and high D-dimer levels showed significant risk for ICU admission with OR equal 3.6 (95% CI 1.8–7.0), 9.0 (95% CI 3.6–22.6), 3.0 (95% CI 1.3–7.1), and 2.5 (95% CI 1.3–4.7), respectively. Conclusion Anemia, increased neutrophil-to-lymphocyte ratio (> 8), platelet-to-lymphocyte ratio (> 192), and D-dimer level (> 0.9 mg\L) at time of admission could be simple available predictors for severe COVID-19 infection requiring ICU admission.

Background: COVID 19 can be accompanied by acute neurological complications of both central and peripheral nervous systems (CNS and PNS). In this study we estimate the frequency of such complications among hospital in-patients with COVID-19 in Assiut and Aswan University Hospitals. Material and Methods: We screened all patients with suspected COVID-19 admitted from 1 June to 10 August 2020 to the university hospitals of Assiut and Aswan in Upper Egypt. Clinical and laboratory data, CT/MRI of chest and brain, and neurophysiology were performed for each patient if indicated. Results: 439 patients had confirmed/probable COVID-19; neurological manifestations occurred in 222. Of these 117 had acute neurological disease; the remainder had non-specific neuropsychiatric symptoms such as headache, vertigo, and depression. The CNS was affected in 75 patients: 55 had stroke; the others had convulsions (5), encephalitis (6), hypoxic encephalopathy (4), cord myelopathy (2), relapse of RR-MS (2), and meningoencephalitis (1). The PNS was affected in 42 patients: the majority had anosmia and ageusia (31); the others had GBS (4), peripheral neuropathy (3), myasthenia gravis (2), or myositis (2). Fever, respiratory symptoms and headache, were the most common general symptoms. Hypertensions, Diabetes Mellitus, ischemic heart disease were the most common comorbidities in patients with CNS affection. Conclusion: In COVID‑19, both the CNS and PNS are affected. Stroke was the most common complication for CNS and anosmia and/or ageusia were common for PNS diseases. However there were 6 cases encephalitis, 2 cases of spinal cord myelopathy, 2 cases of MG and 2 cases of myositis.