Association Between Obesity and COVID-19 Disease Severity in Saudi Population.

Background: The persistent coronavirus disease 2019 (COVID-19) outbreak has placed a significant burden on the scientific and medical professions. The study examined the association between body mass index (BMI), stratified by category, and severe form of COVID-19, and to explore the influence of demographic characteristics and other known risk factors. Methods: This was a retrospective analysis based on COVID-19 data from the Saudi Arabian Ministry of Health. Data were collected for all patients admitted to three main hospitals in Riyadh region between March 1st and July 30, 2020. The effects of BMI, demographic characteristics, clinical presentation, and comorbidities on infection severity were investigated. Results: A total of 950 patients were included in the study (70% male, 85% aged younger than 60 years old). A total of 55 (5.8%) patients were underweight, 263 (27.7%) were normal weight, 351 (37%) were overweight, 161 (17%) were obese class I, 76 (8%) were obese class II, and 44 (4.6%) were obese class III. Cough, fever, and shortness of breath were the most common symptoms among overweight patients. According to the findings of a bivariate logistic regression study, class III obesity was significantly associated with a more severe form of COVID-19 (odds ratio, 2.874; 95% confidence interval, 1.344-6.149). Conclusion: This study revealed that patients with a BMI ≥40 kg/m2 had a higher risk of severe COVID-19 than those with normal weight. This suggests that obesity is a risk factor for severe COVID-19 and influences disease presentation.

Preventing SARS-CoV-2 transmission in the emergency department by implementing a separate pathway for patients with respiratory conditions.

OBJECTIVES: This study aimed to describe the development and implementation of a separated pathway to check and treat patients with a suspected/confirmed coronavirus disease 2019 (COVID-19) in the emergency department (ED) at King Abdullah bin Abdulaziz University Hospital in Riyadh. METHODS: We conducted a retrospective, descriptive longitudinal study from March to July 2020 by analyzing data of all confirmed cases of COVID-19 among ED visitors and healthcare workers in King Abdullah bin Abdulaziz University Hospital. RESULTS: During the study period, a total of 1,182 swab samples were collected for testing for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), of which 285 (24.1%) tested positive. Of the 285 cases of confirmed SARS-CoV-2 infection, 18 were healthcare workers and 267 were patients. As a result of using the respiratory pathway for COVID-19 patients, the hospital managed to limit transmission of SARS-CoV-2 not only between patients but also between patients and healthcare workers, while also containing the pandemic. There were no cases of nosocomial SARS-CoV-2 infection recorded among the patients who visited the ED or the flu clinic. All confirmed cases were community acquired and patients were cared for under constrained measures. CONCLUSIONS: Implementing infection control measures and restricting those with respiratory symptoms to the ED pathway prevented nosocomial spread of SARS-CoV-2 infection in the ED.

Clinical characteristics and risk factors of patients with severe COVID-19 in Riyadh, Saudi Arabia: A retrospective study.

BACKGROUND: COVID-19 is newly emerging infectious disease that spread globally at unpredictable and unique pattern to the extent that the World Health Organization announced COVID-19 as a pandemic in the first couple months of 2020. This study aims to describe clinical and demographic features of COVID-19 patients and the influence of various risk factors on the severity of disease. METHODS: This research is a retrospective study based on Saudi Arabia's ministry of health's Covid-19 data. The analysis relies on data of all COVID-19 patients recorded in Riyadh between 1st, March 2020 and 30th, July 2020. Statistical analyses were performed to investigate the effect of demographic characteristic, clinical presentation, and comorbidities on infection severity. RESULTS: A total number of 1026 COVID-19 patients were identified based on the demographic data as follows: 709 cases (69% of cases) were males and 559 cases (54% of cases) were Saudi. Most of patients were diagnosed with mild signs and symptoms 697 (68% of cases), while 164 patient (16% of cases) demonstrated moderate signs and symptoms, and 103 cases (10%) were severe and 62 (6%) had critical febrile illness. Fever, cough, sore throat, and shortness of breath were the most common symptoms among patients with COVID-19. Among studied comorbidities in COVID-19 patients, diabetes mellitus and hypertension were the most prevalent. The results from the bivariate logistic regression analysis revealed that older age, diabetes mellitus, asthma, smoking, and fever are associated with severe or critically ill cases. CONCLUSION: The findings of this study show that old age, fever, and comorbidities involving diabetes mellitus, asthma, and smoking were significantly associated with infection severity.

Common Co-morbidities Are Challenging in the Diagnosis of Middle East Respiratory Syndrome (MERS-CoV) in Saudi Arabia.

BACKGROUND AND OBJECTIVE: Middle East respiratory syndrome coronavirus (MERS-CoV) is a relatively recent human disease reported initially in Saudi Arabia in September, 2012. Morbidities investigation includes a process of excluding other possible options until certain suspected cases are confirmed. MATERIAL AND METHODS: In this study, we formulated a model under the authorization of the Saudi Ministry of Health to accurately identify cases among admitted suspected cases depending on specific signs and symptoms. Real-time polymerase chain reaction was used for confirmation of the positive cases. RESULTS: The results showed that the number of patients with combined symptoms of fever/sore throat and fever/cough/SOB was significantly higher in confirmed cases than in non-confirmed cases (p<0.05). Besides, the number of confirmed MERS-CoV cases was significantly higher among cases included in the study than excluded cases. It was also clearly demonstrated that fever combined with other symptoms represents 60% of the confirmed cases, which is significantly higher than for cases with other combined symptoms (p<0.0001). CONCLUSION: To the best of our knowledge, there are no appropriate diagnostic models that can differentiate human MERS-CoV infection among other respiratory infections. Therefore, we recommend the adoption of this newly established model of MERS-CoV to short- list corona suspected cases in Saudi Arabia.

Predictors of MERS-CoV infection: A large case control study of patients presenting with ILI at a MERS-CoV referral hospital in Saudi Arabia.

BACKGROUND: A case control study to better characterize the clinical features, laboratory, and radiological abnormalities associated with MERS-CoV infection in order to help with early identification of this syndrome from other respiratory infections. METHODS: Eighty patients admitted to a hospital in Riyadh, diagnosed with MERS-CoV infection based on RT-PCR were matched on age, sex, and the presence of a co-morbid condition on a basis of 1:2 to other patients admitted with respiratory symptoms and tested negative for MERS-CoV on RT-PCR. RESULTS: None of the reported MERS-CoV presenting symptoms was significantly associated with being infected with MERS-CoV. On the other hand, WBC count was significantly lower in patients with confirmed MERS-CoV infection (median 5.7 vs 9.3, P: 0.0004). Neutrophil count was as well significantly lower in MERS-CoV patients (median 3.7 vs 6.7, P: 0.0001). Both AST, and ALT values were significantly higher in MERS-CoV infected group (AST median 42 vs 36, P: 0.03, and ALT median 33 vs 28, P: 0.003). Overall our MERS-CoV mortality rate was (10%) below the national figure of (40%). CONCLUSIONS: None of the presenting symptoms are specific for MERS-CoV infection. And out of all the investigations WBC, neutrophil counts, AST and ALT values have some predictive utility.

Black ant stings caused by Pachycondyla sennaarensis: a significant health hazard.

Several species of ants cause stings, but not all lead to allergic reactions. We present a series of cases of allergic reactions following insect bites or stings that presented to our emergency department and that were caused by the black samsum ant (Pachycondyla sennaarensis). Reactions ranged from mild allergic reactions to severe anaphylactic shock. Patients were treated with subcutaneous epinephrine 0.3 mg, intravenous methylprednisolone 125 mg, intravenous diphenhydramine HCl 50 mg, and intravenous normal saline as appropriate. These cases illustrate the range of clinical presentations to black ant stings, which can include severe reactions, indicating that ant stings are a significant public health hazard in Saudi Arabia. Physicians in the Middle East and Asia need to be aware of ant stings as a cause of severe allergic reactions.