Assessment and characteristics of Erenumab therapy on migraine management.

Background: Migraine is one of the neurological diseases that have a negative impact on subjects' productivity and daily activity of patients. Introducing monoclonal antibodies as a valuable option for resolving the persistent problem of migraine is still under investigation. The current study aimed to evaluate the efficacy and safety profile related to Erenumab. Methods: A prospective study for clinical data collection and analysis from recruited therapy-refractory migraine subjects were carried through 6 months for each subject. All subjects received Erenumab 70 mg monthly. Each patient provided the clinical data monthly starting from 0 months and for the next 6 months. Migraine disability assessment (MIDAS) questionnaire was used for evaluation of the Erenumab efficacy every 3 months. In addition, data regarding adverse effects, migraine triggers, and the impact of previous COVID-19 on migraine severity were collected and analyzed. Results: Ninety subjects were recruited in the study. Erenumab injections resulted in a significant (p < 0.001) reduction in MIDAS score in the 3rd month compared with baseline, also this significance was continuous in the 6th month. In contrast, there was no significant difference in the 6th month compared with the 3rd. Previously infected COVID-19 subjects showed a higher severity of migraine attacks compared with non-infected subjects. Skin redness and local pain were the most common adverse effects 63.3%, 47.77% respectively associated with Erenumab. Conclusion: Using Erenumab therapy showed a great beneficial impact regarding the reduction of migraine-related disabilities. COVID-19 was related to the increased severity of migraine attacks.

Vitamins and other immune-supportive elements as cofactors for passing the COVID-19 pandemic.

BACKGROUND: Coronavirus disease 2019 (COVID-19) is a viral disease that causes a respiratory disorder, started in December of 2019 in China. Several vitamins and trace elements could help in enhancing host immunity producing antioxidant or anti-inflammatory action. This work aimed to identify the role of different nutrition, vitamins, and trace elements on the immunity status of the infected subject and the possibility of the beneficial role of these elements in the management of COVID-19. MAIN BODY: After collecting (PubMed, scholar, OVID, Embase, Cochrane Library) and investigating published articles, testing the effect of these elements on viral infection, it was found that most of these elements have a significant role during viral infection through a different mechanism, like antioxidant, anti-inflammatory, and immunomodulation. Nutritional interventions in COVID-19 infections are very important currently, and it was reported that vitamin C and D reduce the risk of acute respiratory infections. In addition, low vitamin A diets compromise the effectiveness of inactivated bovine coronavirus vaccines. Administration of N-acetyl cysteine showed a beneficial inhibitory effect in viral infections and enhanced glutathione production. The deficiency of selenium on COVID-19 subjects has a significant impact on the clinical outcome of the subjects. In addition, supplementation with vitamins proved to enhance immune response during viral infection. Vitamins and trace elements not only showed a beneficial effect but also Omega 3 fatty acids showed an immunomodulating effect during infections. SHORT CONCLUSIONS: Assessment of levels for these trace elements at the baseline and providing supplementation containing different vitamins and elements could result in better control and clinical outcomes in the case of COVID-19.

Effect of mutation and vaccination on spread, severity, and mortality of COVID-19 disease.

Coronavirus disease 2019 (COVID-19) has had different waves within the same country. The spread rate and severity showed different properties within the COVID-19 different waves. The present work aims to compare the spread and the severity of the different waves using the available data of confirmed COVID-19 cases and death cases. Real-data sets collected from the Johns Hopkins University Center for Systems Science were used to perform a comparative study between COVID-19 different waves in 12 countries with the highest total performed tests for severe acute respiratory syndrome coronavirus 2 detection in the world (Italy, Brazil, Japan, Germany, Spain, India, USA, UAE, Poland, Colombia, Turkey, and Switzerland). The total number of confirmed cases and death cases in different waves of COVID-19 were compared to that of the previous one for equivalent periods. The total number of death cases in each wave was presented as a percentage of the total number of confirmed cases for the same periods. In all the selected 12 countries, Wave 2 had a much higher number of confirmed cases than that in Wave 1. However, the death cases increase was not comparable with that of the confirmed cases to the extent that some countries had lower death cases than in Wave 1, UAE, and Spain. The death cases as a percentage of the total number of confirmed cases in Wave 1 were much higher than that in Wave 2. Some countries have had Waves 3 and 4. Waves 3 and 4 have had lower confirmed cases than Wave 2, however, the death cases were variable in different countries. The death cases in Waves 3 and 4 were similar to or higher than Wave 2 in most countries. Wave 2 of COVID-19 had a much higher spread rate but much lower severity resulting in a lower death rate in Wave 2 compared with that of the first wave. Waves 3 and 4 have had lower confirmed cases than Wave 2; that could be due to the presence of appropriate treatment and vaccination. However, that was not reflected in the death cases, which were similar to or higher than Wave 2 in most countries. Further studies are needed to explain these findings.

A study of the possible factors affecting COVID-19 spread, severity and mortality and the effect of social distancing on these factors: Machine learning forecasting model.

BACKGROUNDS: SARS-CoV-2 is affecting different countries all over the world, with significant variation in infection-rate and death-ratio. We have previously shown a presence of a possible relationship between different variables including the Bacillus Calmette-Guérin (BCG) vaccine, average age, gender, and malaria treatment, and the rate of spread, severity and mortality of COVID-19 disease. This paper focuses on developing machine learning models for this relationship. METHODS: We have used real-datasets collected from the Johns Hopkins University Center for Systems Science and Engineering and the European Centre for Disease Prevention and Control to develop a model from China data as the baseline country. From this model, we predicted and forecasted different countries' daily confirmed-cases and daily death-cases and examined if there was any possible effect of the variables mentioned above. RESULTS: The model was trained based on China data as a baseline model for daily confirmed-cases and daily death-cases. This machine learning application succeeded in modelling and forecasting daily confirmed-cases and daily death-cases. The modelling and forecasting of viral spread resulted in four different regions; these regions were dependent on the malarial treatments, BCG vaccination, weather conditions, and average age. However, the lack of social distancing resulted in variation in the effect of these factors, for example, double-humped spread and mortality cases curves and sudden increases in the spread and mortality cases in different countries. The process of machine learning for time-series prediction and forecasting, especially in the pandemic COVID-19 domain, proved usefulness in modelling and forecasting the end status of the virus spreading based on specific regional and health support variables. CONCLUSION: From the experimental results, we confirm that COVID-19 has a very low spread in the African countries with all the four variables (average young age, hot weather, BCG vaccine and malaria treatment); a very high spread in European countries and the USA with no variable (old people, cold weather, no BCG vaccine and no malaria). The effect of the variables could be on the spread or the severity to the extent that the infected subject might not have symptoms or the case is mild and can be missed as a confirmed-case. Social distancing decreases the effect of these factors.

Antibiotic misuse and compliance with infection control measures during COVID-19 pandemic in community pharmacies in Egypt.

BACKGROUND: Globally, antibiotics misuse by the public has been reported in the era of COVID-19, despite the discouraging instructions of the World Health Organization, especially for mild cases. OBJECTIVE: Is to describe this antibiotic misuse and its contributing factors. Also, to measure the pharmacists' application of infection preventive practices during the pandemic. METHODS: A cross-sectional study was conducted among randomly selected Egyptian community pharmacists (Center, East, Delta, and Upper Egypt) using a questionnaire and direct interviews from 1 to 30 August 2020. The questionnaire consisted of two parts, the first covered pharmacist's demographic data and their application of basic infection preventive practices (eg, wearing face masks, regular hand sanitization, etc), and the other part was related to antibiotic dispensing patterns. Data were descriptively analyzed and the impact of participant experience on the responses was evaluated using the χ2 test. RESULTS: From 480 randomly selected Egyptian community pharmacists, 413 (87%) consented to participate in the study. 86.7% of the participants were keen to wear face masks (n = 358) and 86.2% kept regular hand sanitization (n = 356); whereas, 46.9% (n = 194) maintained adequate antibiotic stock supply during the pandemic. Nearly 67% (n = 275) of the pharmacists reported that patients were more likely to be given antibiotics for showing any sign or symptom of COVID-19 infection, and 82% (n = 74 278) of the dispensed antibiotics were given upon physician recommendation. Azithromycin, Ceftriaxone, and Linezolid were the major antibiotics dispensed to COVID-19 presumptive patients Azithromycin was given to ~40% of presumptive patients showing only mild or moderate symptoms for 5-10 days. Additionally, antibiotic combinations were given to 74% (n = 62 479) of home-isolated patients for a maximum of 2 weeks. CONCLUSIONS: Pharmacists applied suitable sanitation and infection control protocols. Meanwhile, antibiotics were dispensed heavily during this pandemic without proper clinical indication and for long durations supporting the idea of antibiotic misuse.

COVID-19; current situation and recommended interventions.

BACKGROUND: The new coronavirus (SARS-COV-2) that emerged at the end of 2019 was stated in China and infected millions of people around the world, with the highest spread rate amongst humans compared with other coronaviruses. This paper aimed to review and analyse the published studies about COVID-19 diagnosis, prevention, and treatment. METHOD: The reviewed studies were clinical trials, in-vivo, in-vitro, guidelines, reports from the world health organization (WHO), and the centre for disease control and prevention (CDC) in addition to systemic reviews. All data extracted and analysed to stand on the latest updates and recommendations for fighting this severe attack of COVID-19. RESULTS: Most important antiviral therapy of COVID-19 clinical trials is still running without clear results, but a few trials have indicated the role of numerous drugs in the treatment of COVID-19. Specific recommendations for aerosol therapy should be followed for the management of COVID-19. CONCLUSION: Nature of COVID-19 is still not very clear, however, management of the condition is similar to the previous attacks of coronaviruses.

Assessment and characterisation of post-COVID-19 manifestations.

BACKGROUND: Post-COVID-19 symptoms and diseases appeared on many survivors from COVID-19 which are similar to that of the post-severe acute respiratory syndrome (SARS) fatigue. Hence, the study aims to investigate and characterise the manifestations which appear after eradication of the coronavirus infection and its relation to disease severity. METHOD: About 287 survivors from COVID-19 were included in the study, each received a questionnaire divided into three main parts starting from subjects' demographic data, data about the COVID-19 status and other comorbidities of the subject, and finally data about post-COVID-19 manifestations. Response surface plots were produced to visualise the link between several factors. RESULTS: Only 10.8% of all subjects have no manifestation after recovery from the disease while a large percentage of subjects suffered from several symptoms and diseases. The most common symptom reported was fatigue (72.8%), more critical manifestations like stroke, renal failure, myocarditis and pulmonary fibrosis were reported by a few percent of the subjects. There was a relationship between the presence of other comorbidities and severity of the disease. Also, the severity of COVID-19 was related to the severity of post-COVID-19 manifestations. CONCLUSION: The post-COVID-19 manifestation is largely similar to the post-SARS syndrome. All subjects recovered from COVID-19 should undergo long-term monitoring for evaluation and treatment of symptoms and conditions that might be precipitated with the new coronavirus infection.

Bacillus Calmette-Guérin vaccine, antimalarial, age and gender relation to COVID-19 spread and mortality.

COVID-19 is affecting different countries all over the world with great variation in infection rate and death ratio. Some reports suggested a relation between the Bacillus Calmette-Guérin (BCG) vaccine and the malaria treatment to the prevention of SARS-CoV-2 infection. Some reports related infant's lower susceptibility to the COVID-19. Some other reports a higher risk in males compared to females in such COVID-19 pandemic. Also, some other reports claimed the possible use of chloroquine and hydroxychloroquine as prophylactic in such a pandemic. The present commentary is to discuss the possible relation between those factors and SARS-CoV-2 infection.