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.

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.

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.