Use of data mining approaches to explore the association between type 2 diabetes mellitus with SARS-CoV-2.

BACKGROUND AND OBJECTIVE: Corona virus causes respiratory tract infections in mammals. The latest type of Severe Acute Respiratory Syndrome Corona-viruses 2 (SARS-CoV-2), Corona virus spread in humans in December 2019 in Wuhan, China. The purpose of this study was to investigate the relationship between type 2 diabetes mellitus (T2DM), and their biochemical and hematological factors with the level of infection with COVID-19 to improve the treatment and management of the disease. MATERIAL AND METHOD: This study was conducted on a population of 13,170 including 5780 subjects with SARS-COV-2 and 7390 subjects without SARS-COV-2, in the age range of 35-65 years. Also, the associations between biochemical factors, hematological factors, physical activity level (PAL), age, sex, and smoking status were investigated with the COVID-19 infection. RESULT: Data mining techniques such as logistic regression (LR) and decision tree (DT) algorithms were used to analyze the data. The results using the LR model showed that in biochemical factors (Model I) creatine phosphokinase (CPK) (OR: 1.006 CI 95% (1.006,1.007)), blood urea nitrogen (BUN) (OR: 1.039 CI 95% (1.033, 1.047)) and in hematological factors (Model II) mean platelet volume (MVP) (OR: 1.546 CI 95% (1.470, 1.628)) were significant factors associated with COVID-19 infection. Using the DT model, CPK, BUN, and MPV were the most important variables. Also, after adjustment for confounding factors, subjects with T2DM had higher risk for COVID-19 infection. CONCLUSION: There was a significant association between CPK, BUN, MPV and T2DM with COVID-19 infection and T2DM appears to be important in the development of COVID-19 infection.

The Effect of Pomegranate Juice and Sumac Consumption in the Treatment of Outpatients with COVID-19

Introduction COVID-19, an epidemic of coronavirus infection, has become a major global threat. The coronavirus mainly targets the human respiratory system, followed by cytokine storm, and altered immune responses associated with disease progression and adverse outcomes. Sumac and pomegranate juice are rich in bioactive compounds, which potentially have antiviral activities. This study is aimed at investigating the effect of a diet based on the use of sumac and pomegranate juice on the treatment of outpatients with COVID-19. Methods In this study, 182 outpatients with COVID-19 were randomly divided into two groups receiving a diet containing pomegranate juice and sumac along with standard treatment and the control group (group 2) receiving standard treatment. Results Consumption of a diet containing pomegranate juice and sumac in outpatients with COVID-19, who were receiving standard-of-care treatment, led to a significant decrease in fever, chills, cough, weakness, smell and taste disorders, shortness of breath, diarrhea, nausea and vomiting, and abdominal pain compared with outpatients with COVID-19 who received only standard treatment. Conclusion Clinical trials of outpatients have limitations such as patients' resilience to post-COVID-19 follow-up. However, the use of pomegranate juice and sumac can be efficacious in reducing COVID-19 symptoms. This trial is registered with IRCT20190406043175N3.

COVID-19 in cancer patients may be presented by atypical symptoms and higher mortality rate, a case-controlled study from Iran.

BACKGROUND: Coronavirus disease 2019 (COVID-19) pandemic imposes serious problems to health systems around the world and its rapid expansion makes it difficult to serve patients with certain health conditions such as cancer patients which might be at high risk for mortality if they are infected by the severe acute respiratory syndrome coronavirus 2. AIM: To compare the outcomes of cancer patients admitted due to COVID-19 and compare them with data of COVID-19 infected patients without a history of cancer. METHODS: In this case-controlled study, 93 healthy people and 92 patients with malignancy admitted for COVID-19 were enrolled. The clinical features and laboratory indicators were assessed at the presentation and both groups were followed-up for treatment options and outcomes prospectively and compared at the level of P ≤ .05. RESULTS: COVID-19 related mortality rate in malignant patients was significantly higher than patients without malignancy (41.3% vs 17.2%, P = .0001). The risk of death increased significantly in patients with malignancy (OR = 8.4, P = .007) and mechanical ventilation (OR = 3.3, P = .034) independent of other variables. Fever (64.5% vs 43.5%, P = .004), chill (35.5% vs 14.1%, P = .001), malaise (49.5% and 30.4%, P = .008), dry cough (51.6% vs 26.1%, P = .0001), and vomiting (17.2% vs 5.4%, P = .012) were reported significantly lower in cancer patients. CONCLUSION: The results suggest that cancer patients who were infected by COVID-19 may present with atypical symptoms are at higher risk of mortality independent of the demographic data, comorbidities, and treatments.