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Background: This study investigates the clinical characteristics of the first confirmed cases of Coronavirus disease-2019 (COVID-19) in Bahrain. Methods: This is a retrospective, cross-sectional study including the first 247 confirmed cases in Bahrain. Demographic, clinical, and laboratory data were extracted from electronic medical records. Results: Mean Standard Deviation (SD) age of patients was 44.15 (16.5) years. More males were affected by the disease (61%;151/274). Mean (SD) of the duration between confirmation and discharge was 9.8 (5.1) days. Of 247 patients, 4 deaths were reported (1.6%);17.5% (24/137) showed a temperature of >37- on admission, with 4% (6/148) yielding an oxygen saturation of 94% or less. Leukopenia was reported in 36.8% of patients (63/171). One quarter of patients (25.5%) received oseltamivir, 24.7% received hydroxychloroquine sulfate (24.7%), and 1.2% received steroids. Conclusion: In this study, the authors have captured the epidemiological and clinical profiles of the first cases of COVID-19 pertaining to the first wave of the pandemic in Bahrain. The early strict measures may have contributed to the lower incidence as well as lower morbidity and mortality of COVID-19 infection in Bahrain. Major gaps in our knowledge of the clinical spectrum of COVID-19 and its prognosis, outcomes, and associated risk factors indicate the need for further research.
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Artificial intelligence (AI) and machine learning (ML) is a promising field of cardiovascular medicine. Many AI tools have been shown to be efficacious with a high level of accuracy. Yet, their use in real life is not well established. In the era of health technology and data science, it is crucial to consider how these tools could improve healthcare delivery. This is particularly important in countries with limited resources, such as low- and middle-income countries (LMICs). LMICs have many barriers in the care continuum of cardiovascular diseases (CVD), and big portion of these barriers come from scarcity of resources, mainly financial and human power constraints. AI/ML could potentially improve healthcare delivery if appropriately applied in these countries. Expectedly, the current literature lacks original articles about AI/ML originating from these countries. It is important to start early with a stepwise approach to understand the obstacles these countries face in order to develop AI/ML-based solutions. This could be detrimental to many patients' lives, in addition to other expected advantages in other sectors, including the economy sector. In this report, we aim to review what is known about AI/ML in cardiovascular medicine, and to discuss how it could benefit LMICs.
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Analyzing X-rays and computed tomography-scan (CT scan) images using a convolutional neural network (CNN) method is a very interesting subject, especially after coronavirus disease 2019 (COVID-19) pandemic. In this paper, a study is made on 423 patients' CT scan images from Al-Kadhimiya (Madenat Al Emammain Al Kadhmain) hospital in Baghdad, Iraq, to diagnose if they have COVID or not using CNN. The total data being tested has 15000 CT-scan images chosen in a specific way to give a correct diagnosis. The activation function used in this research is the wavelet function, which differs from CNN activation functions. The convolutional wavelet neural network (CWNN) model proposed in this paper is compared with regular convolutional neural network that uses other activation functions (exponential linear unit (ELU), rectified linear unit (ReLU), Swish, Leaky ReLU, Sigmoid), and the result is that utilizing CWNN gave better results for all performance metrics (accuracy, sensitivity, specificity, precision, and F1-score). The results obtained show that the prediction accuracies of CWNN were 99.97%, 99.9%, 99.97%, and 99.04% when using wavelet filters (rational function with quadratic poles (RASP1), (RASP2), and polynomials windowed (POLYWOG1), superposed logistic function (SLOG1)) as activation function, respectively. Using this algorithm can reduce the time required for the radiologist to detect whether a patient has COVID or not with very high accuracy. © 2023 Institute of Advanced Engineering and Science. All rights reserved.
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This research describes a simple, sensitive, and disposable modified glassy carbon electrode constructed using platinum nanoparticles anchored on reduced graphene oxide nanocomposite as a conductive modifier (Pt@rGO/GCE) to detect an anti-coronavirus drug, Favipiravir (FAV). The as-synthesized nanocomposite was characterized by Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), field emission scanning electron microscopy (FE-SEM), energy-dispersive X-ray spectroscopy (EDX), and atomic force microscopy (AFM). Under optimized conditions, the square wave voltammetry (SWV) method was used to determine trace amounts of FAV in real samples. The proposed electrode demonstrated a wide linear concentration range of 3.16 to 100.0 μM with a low detection limit (LOD) of 2.46 μM. Moreover, the developed electrode showed outstanding selectivity in the presence of several interferences with high repeatability and reproducibility. Finally, the developed electrode was applied to detect FAV in human plasma and pharmaceutical samples. © 2022 Elsevier B.V.
ABSTRACT
A vaccine is a type of medicine that increases immunity and the number of antibodies (IgM and IgG) when injected into the body, preparing it in case of an actual viral infection. It has been shown in several studies that there is a significant relationship between physical activity and vaccination. Furthermore, it has been documented that physical activity can play a major role in reducing stress. Evidence also shows the existence of a relationship between immunity, vaccine response, and sleep duration. To investigate the effects of physical activity on the level of COVID-19 antibodies and lifestyle-related factors, Health Science Center (HSC) students who had taken the third dose of the vaccine and had no prior infection of the COVID-19 virus were investigated. To serve the purpose of this study, an anti-SARS-CoV-2 test was applied by taking a blood sample from the students. The Perceived Stress Scale (PSS) and Pittsburgh Sleep Quality Index (PSQI) questionnaires and the Borg's 15-point scale were given to the participants to fill out. The study utilized a two-arm randomized control research design in which 40 participants were randomly assigned into one of two groups, either the control group (n = 20) or the treatment group (n = 20). All tests and assessments were performed before and after intervention for both groups. The control group walked less than 5000 steps every day for one month with a 20 min rest during the exercise session, while the treatment group walked more than 12,000 steps every day for the same time and exercise task session. The students' steps were monitored using an Apple watch. There was a significant decrease in the IgG antibody level in the treatment group compared to the control group (p < 0.001). The IgM antibody level of all groups did not show any significant difference before starting the intervention. However, there was a significant (p < 0.05) decrease in the IgM level of the treatment group after treatment compared to before treatment. Moreover, there was a significant decrease in the treatment group's stress level and sleep disruption, indicating better sleep quality, compared to the control group (p < 0.035). The levels of IgG and IgM did not improve for the treatment group. However, the treatment group improved their stress level and sleep disruption. Therefore, further rigorous research is needed to investigate vaccine efficacy among more physically active people.
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Background: The arising Covid infection 2019 is rapidly spreading over the world and has been named a pandemic by the World Health Organization (WHO). The ABO blood group has been linked to the susceptibility to viral infection in the past. According to research, blood groups A and O are associated with a higher and lower risk of coronavirus disease 2019 positivity. Objectives: The goal of the study was to see if there was a link between ABO blood type and COVID-19 susceptibility in patients recovering in Baghdad and Hilla hospitals, and if the former could be used as a biomarker for the latter.
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CASE: Ms.X is a 31-year-old female with an unremarkable medical history who presented to the general medicine clinic with palpitations that started 3 days after taking her second dose of Pfizer Covid vaccine. The palpitations ocurred exclusively when standing, with no associated chest pain, dizziness, or presyncope. History is negative for tobacco smoking, drug or alcohol use, and consumption of energy or caffeinated beverages. The physical examination was notable for moist mucous membranes and normal volume examination. Orthostatic vitals were remarkable for an increase in HR by 30 beats with minimal change in BP. EKG showed a normal sinus rhythm, and lab workup inclusive of a CBC, CMP, and TSH was unremarkable. As such, the patient was referred for tilt-table testing. Within 8 minutes of upright tilting, HR was137 from a baseline of 77, and BP was 144/108 from 125/71. A looprecorder was inserted which revealed presence of patient triggered episodes of sinus tachycardia upon standing. The patient was started on propranolol 10 mg every 4-6 hours while awake with almost complete resolution of palpitations. IMPACT/DISCUSSION: The incidence of POTS is 0.2-1% in developed countries, with a 5:1 female-male ratio. It presents with orthostatic symptoms like light-headedness, presyncope, and palpitations. It can occasionally present with non-orthostatic symptoms like nausea, bloating, and diarrhea. The pathophysiology is not well-understood but is postulated to be due to an autoimmune disorder, abnormally increased sympathetic activity, and/or sympathetic denervation leading to central hypovolemia and reflex tachycardia. It is a diagnosis of exclusion, but table-tilt test is used to help confirm it. The onset is typically precipitated by immunological stressors like viral infections, vaccination, and pregnancy. Recently, several case reports have been published describing POTS following infection with COVID-19 infection. This was described as long-COVID postural tachycardia syndrome by the American Autonomic Society. However, the association of POTS with COVID-19 vaccine is unclear. Only one case report was published describing the development of POTS after COVID-19 mRNA vaccine. Information relating to this remain limited, and approach to diagnosis and treatment is variable. Our understanding of this condition in relation to vaccination is mostly extrapolated from previously published reports describing it in relation to HPV vaccine. As more people continue to take the vaccine, physicians should be alert to the diagnosis. CONCLUSION: POTS is a frequently underdiagnosed or misdiagnosed disorder. It is characterized by an increase in HR by 30 within 10 minutes of standing . In rare instances, it has been described as a postvaccination adverse immune phenomena, and more recently related to mRNA COVID-19 vaccination. Increased recognition, diagnosis, and reporting will contribute to better understanding and treatment.
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This study aims to investigate the effects of the Covid-19 outbreak on small traders in the Bachok district of Kelantan. The objectives of this study are to observe the implication of Covid-19 pandemic on small traders in Bachok and how it is affecting their businesses. The subjective evaluation conducted in this study was focusing on small traders in Bachok that comprises of 120 respondents. The findings from this study had shown the negative impact of Covid-19 pandemic on their business economic. Overal respondents are saying that Covid-19 had affected their business nature & profit. Besides that, this study was hope to be able to guide the traders on how they should overcome this problems by changing their nature of business to incorporate more achievable approach during the MCO and after the pandemic. © 2021 Author(s).