The impact of mindfulness-based stress reduction on psychological health among patients with chronic diseases during COVID-19 outbreak lockdown.

Background: The emergence of COVID-19 has spurred a wide range of psychological morbidities. However, its influence on a vulnerable population with chronic conditions is less addressed. Therefore, this study aimed to investigate the psychological health among patients with chronic diseases during the elevated psychiatric distress associated with the outbreak and examine the efficacy and feasibility of mindfulness-based stress reduction intervention (MBSR). The study involved 149 participants recruited from university hospital outpatient clinics. Patients were allocated into two groups: MBSR training program and control group. Standardized questionnaires were administered to assess depression, anxiety and stress prior to the MBSR program and at completion of the training after 8 weeks. Results: The results showed that MBSR intervention improved psychological distress and decreased the mean scores of depression, anxiety and stress. Conclusions: Mindfulness training program based on audio and smartphone was feasible and effective when it was applied to patients with chronic diseases and showed positive impact on negative psychological stress domains. These findings pave the way for the integration of psychological support for patients with chronic illnesses in clinical settings.

Associations between IL-17A G/A-rs2275913 and IL 23R A/G-rs11209026 gene polymorphisms and severe coronavirus disease 2019 (COVID-19).

Severe COVID-19 disease was linked to a severe proinflammatory response and cytokine storm interleukin 17 (IL-17) is one of these cytokines, was associated with severe acute lung injury and multiorgan dysfunction. Single nucleotide polymorphisms (SNPs) in genes coding IL-17 can affect level of IL-17 hence its role in diseases. Also, SNPs in IL-23 R which control IL-23 is the main activator of IL-17 production. This study aimed to determine whether the IL-17A (G/A-rs2275913), IL-23R (A/G rs11209026) SNPs and serum levels of IL-17 were related to the risk of severe COVID-19. This case-control study included 120 confirmed COVID-19 patients, divided into two categories according to the severity of the disease and 74 normal subjects as controls. COVID-19 patients were SARS-CoV-2 positive by a reverse transcription-polymerase chain reaction and subjected to full clinical examinations, routine laboratory tests, and radiographic evaluations. The IL-17 levels were assessed using ELISA method, and genotyping of IL-17A (197 A/G; rs2275913) and IL-23R rs11209026 (A/G) was performed by the TaqMan Genotyping Assay. There were no differences in the distribution of IL-17A or IL-23R genotypes between COVID-19 groups and the control group (p=0.93 and p=0.84, respectively). Severe COVID-19 patients had significantly higher IL-17 serum levels than non-severe COVID-19 (p=0.0001). The GG genotypes of IL-17A were significantly higher in severe COVID-19 patients (p=0.004). Multivariate logistic regression analysis revealed that AG, GG genotypes of IL-17 and IL-17A were independent predictors of COVID-19 disease severity (p < 0.0001, p=0.06 and p=0.04, respectively). ROC curve analysis for IL-17, as predictor of severe COVID-19 disease revealed a sensitivity of 87.9% and specificity of 66.1% at a cutoff point of 114 pg/ml with AUC = 0.799. In conclusion, these findings indicated that IL-17 may be considered a marker of severe COVID-19. IL-17A SNPs may have a role in COVID-19 severity. IL-23R SNPs had no role in COVID-19.

Perceptions, Knowledge, and Experiences of Using Face Masks among Egyptian Healthcare Workers during the COVID-19 Pandemic: A Cross-Sectional Study.

Using face masks appropriately is important for preventing the community spread of respiratory infections. A cross-sectional study was conducted to evaluate the knowledge level and experience of using face masks between healthcare teams to protect them and limit the spread of COVID-19 infection. A structured questionnaire was distributed to 228 healthcare members in July-December 2021. It was divided into two sections and consisted of 29 questions for a total possible score of 0 to 29. The first section was related to perceptions and knowledge about face masks (13 items); the second was related to the experience of using face masks (16 items). The average score of this questionnaire was 23.21/29 with respect to the knowledge about face masks and their proper use techniques. The healthcare team studied had satisfactory knowledge about face mask use techniques, and the study shed light on their unsatisfactory practices. Following instructions is very vital to protecting the person wearing the mask and preventing the spread of infection during health care by blocking droplets produced by speaking or coughing. Providing the healthcare teams with knowledge and experience about how to use face masks during the pandemic is critical to increase their awareness and practice in using face masks and prevent the infection from spreading.

Epidemiological aspects of headache after different types of COVID-19 vaccines: An online survey.

BACKGROUND: Coronavirus disease 2019 (COVID-19) vaccine-related side effects are a key concern with the emergence of various types of vaccines in the market. We aimed to assess the frequency and characteristics of headache following different types of COVID-19 vaccines. METHODS: Fully vaccinated people were recruited by a convenience sample through an online survey from September 1 to December 1, 2021. Detailed analysis of headache following vaccination was investigated. Participants with a history of pre-existing headaches were telephone interviewed by a neurologist to ascertain the type of headache. RESULTS: A total of 1372 participants participated (mean age 32.9 ± 11.1). The highest frequency of headache was reported with the adenoviral vector type (302/563, 53.6%), followed by mRNA vaccines (129/269, 48%) and then the inactivated type (188/540, 34.8%). Recipients of the adenoviral vector type had a significantly longer latency between vaccination and the headache onset (median 8 h [5:12]) than recipients of the inactivated type (median 4 h [2:8], p < 0.001). Headache intensity was significantly higher with the adenoviral vector type (median 6 [5:8]) than with the inactivated type (median 5 [4:7], p < 0.001). Adenoviral vector vaccines would increase the likelihood of headache by 2.38 times more than inactivated vaccines (odds ratio [OR] 2.38, 95% confidence interval [CI] 1.83-3.04, p < 0.001). Female sex and thyroid disease were significantly associated with headache related to COVID-19 vaccines (OR 1.52, 95% CI 1.16-1.99; OR 3.97, 95% CI 1.55-10.2, respectively). CONCLUSION: Recipients of the COVID-19 vaccine should be counseled that they may experience headaches, especially after the adenoviral vector type. However, the intensity of such headache is mild to moderate and can resolve within a few days. Based on the current study design and the potential recall bias, these results may not be generalizable and should be preliminary.

Empiric Anticoagulation Therapy in Hospitalized COVID-19 Patients: An Evaluation of Bleeding Risk Scores Performances in Predicting Bleeding Events.

Currently, there is no standardized consensus on anticoagulation (AC) among patients with coronavirus disease (COVID-19), which has an overwhelming bleeding risk. We aimed to compare the patterns of AC in COVID-19 patients and compare two validated risk scores in predicting bleeding events. A retrospective review of medical records was conducted for COVID-19 patients who received empiric anticoagulation therapy. The primary outcomes included bleeding events, survival, and mechanical ventilation needs. We applied the HAS-BLED and ORBIT bleeding risk scores to assess the predictive accuracy, using c-statistics and the receiver operating curve (ROC) method. Of the included patients (n = 921), with a mean age of 58.1 ± 13.2, 51.6% received therapeutic AC and 48.4% received a prophylactic AC dose. Significantly higher values of d-dimer and C-reactive protein (CRP) among the therapeutic AC users (p < 0.001) were noted with a significantly prolonged duration of hospital stay and mechanical ventilation (p < 0.001 and p = 0.011, respectively). The mean value of the HAS-BLED and ORBIT scores were 2.53 ± 0.93 and 2.26 ± 1.29, respectively. The difference between the two tested scores for major bleeding and clinically relevant non-major bleeding was significant (p = 0.026 and 0.036, respectively) with modest bleeding predictive performances. The therapeutic AC was associated with an increased risk of bleeding. HAS-BLED showed greater accuracy than ORBIT in bleeding risk predictability.

Sanitizer-associated systemic side effects in the era of COVID-19: a pharmacovigilance study.

Background: The practice of proper hand sanitization became of utmost importance and one of the best protective measures during the pandemic outbreak of COVID-19. However, misuse of disinfectants can be an overwhelming issue because of increasing demands, public panic, and unawareness, which can negatively affect human health and the environment. Therefore, we aimed to determine whether the outbreak was associated with increased reports of adverse events related to hand sanitizers through the data of adverse events reported to the pharmacovigilance database of the Food and Drug Administration Adverse Event Reporting System (FAERS). FAERS database was analyzed for hand sanitizer reports including alcohol-based and alcohol-free formulations. Results: Adverse events reports associated with hand sanitizers increased significantly by 2020 with variable severity degrees, noting that most serious cases were reported with alcohol-based sanitizers. Conclusion: Based on data mining of the FAERS database, we claim that the increased reports associated with alcohol hand sanitizer use deserve attention. However, FAER's database has some limitations, such as case duplication and lack of a control group. Hence, further monitoring with more robust sources of data sources is critically needed.

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.

Liver function test abnormalities in COVID-19 patients and factors affecting them - a retrospective study.

AIM OF THE STUDY: We aimed to study liver function test abnormalities in our COVID-19 patients and factors affecting them and to evaluate whether liver function test abnormalities are related to the severity of COVID-19. MATERIAL AND METHODS: Our retrospective study included 118 patients who were SARS-CoV-2 positive. Their median age was 40 years. Fifty percent were male. Clinical and biochemical data were collected from patient records during the period from the start of June 2020 to the end of July 2020. Liver function test abnormalities included: alanine aminotransferase (ALT) > 40 U/l, aspartate aminotransferase (AST) > 40 U/l, serum albumin < 3.5 mg/dl, total bilirubin > 1.2 mg/dl, and international normalized ratio (INR) > 1.2. RESULTS: Forty-four percent of COVID-19 patients had liver function test (LFT) abnormalities. In patients with severe SARS-CoV-2, AST, total bilirubin and INR levels were significantly higher than in patients with the non-severe disease. Levels of hemoglobin, C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), serum ferritin, D-dimer, and serum glucose were significantly higher in SARS-CoV-2 patients with LFT abnormalities than those with normal liver function. CONCLUSIONS: LFT abnormalities are very common in SARS-CoV2 positive patients, especially those with the severe form. Levels of ESR, CRP, serum ferritin, and D-dimer were higher in COVID-19 patients with LFT abnormalities than those with normal LFT. High serum ferritin levels might be potential risk factors for LFT abnormalities.

Persistence of symptoms after improvement of acute COVID19 infection, a longitudinal study.

With the number of coronavirus disease 2019 (COVID-19) infected patients increasing all over the world, a large number of survivors have reported changes in their quality of life or experienced re-infection. So, we aimed to detect the percentage, type, and risk factors of persistent symptoms after improvement from acute COVID-19 infection and to detect the percentage of COVID-19 re-infection and degree of severity of the second infection. One hundred seventy-two (59 male, 113 female) patients who tested positive for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) were followed up via mobile phone every 2 months for 8 to 10 months. After recovery, 105 patients (61%) (30 male, 75 female) reported one or more COVID-19 persistent symptoms. Fatigue, dyspnea, and depression were the most common persistent symptoms representing 37.3%, 22%, 22%, respectively. We found that age was independently related to the persistence of symptoms. During the follow-up, six females (3.5%) had laboratory-confirmed COVID-19 re-infection. Their mean age was 35.7 ± 11 years. The mean interval from the complete recovery of the first infection to the onset of the second one was 53 ± 22.2 days and ranged from 30 to 90 days. The second infection was milder in severity than the first infection in 83.33% of cases. There was a high percentage of patients who complained of persistent symptoms after recovery from COVID-19. Fatigue and headache were the most common persistent symptoms. Age was considered a risk factor for persistent symptoms. Re-infection with SARS-CoV-2 can occur after recovery.

Assessment of antenatal anxiety, depression and obsessive-compulsive disorder in pregnant women in the COVID-19 era.

OBJECTIVE: To assess the mental health of pregnant women, with reference to anxiety, depression and obsessive-compulsive (OC) symptoms, during the COVID-19 pandemic. METHODS: A cross-sectional survey was conducted in Ireland during the third wave of the pandemic between February and March 2021. Psychiatric, social and obstetric information was collected from pregnant women in a Dublin maternity hospital, alongside self-reported measures of mental health status. RESULTS: Of 392 women responding, 23.7% had anxiety, scoring >9 for GAD-7 (7-item generalised anxiety disorder), 20.4% had depression, scoring >9 for PHQ-9 (9-item depression screening tool: Patient health questionnaire) and 10.3% had obsessive-compulsive disorder (OCD), scoring >13 for Yale-Brown obsessive-compulsive scale symptom checklist (Y-BOCS). Amongst self-reported OCD symptoms, there was a preponderance for obsessions rather than compulsions. Of 392 women, 36.2% described their mental health as worse during the pandemic, most frequently describing symptoms of anxiety and sleep disturbance. When analysed against test scores, self-reported worsening of mental health was significantly associated with higher scores on the GAD-7, PHQ-9 and Y-BOCS scales. The three scores were positively interrelated. Poor mental health scores were associated with self-reported strain in relationship with the baby's father, and current or previous history of mental illness. CONCLUSION: This study found high levels of depression, anxiety and OC symptoms amongst pregnant women during COVID-19. This highlights the vulnerability of this group to mental illness and the importance of enhanced screening and support during pandemics.

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.

Role of repeating quarantine instructions and healthy practices on COVID-19 patients and contacted persons to raise their awareness and adherence to quarantine instructions.

OBJECTIVE: This study aimed to develop a model evaluating the role of repeating quarantine instructions and healthy practices among COVID-19 patients and contact persons at-home quarantine and to evaluate the instructions' adequacy in decreasing the rate of disease spread with better clinical outcomes. METHODS: A structured questionnaire was distributed to COVID-19 patients (mild and moderate cases isolated at home) and contacting persons during May and June 2020. Data were collected using a structured online survey collected every five days for three times from each participant. The questionnaire was divided into three sections, consisting of 35 questions for a total possible score of 0 to 35. RESULTS: A total of 150 valid participant's responses out of 304 participants were obtained. Among the150 total participants, 88 were infected with COVID-19, and 62 were contacting with COVID-19 patients. The improvement in the score of awareness and adherence to instructions for the infected patients and their contacts was significantly high in the third questionnaire than in the second and the first questionnaire. The people who live in cities followed the instructions provided at the home quarantine better than those who live in the country. The city patients improved in symptoms better than the country patients. Also, patients followed the instructions better than their contacts. City females adhered to the instructions better than city males. Young people had high awareness score than older people. City people are committed to taking both immune boosters supplements as prophylaxis or prescribed medications on time for treatment more than country people. CONCLUSION: This study offers useful insights into factors associated with the role of repeating quarantine instructions and healthy practices to overcome the COVID-19 pandemic. So, repeating the instructions is important to increase adherence to the instructions, decrease the rate of disease progression and decrease the spread of the infection.

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.

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.

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.