Risk factors associated with in-hospital mortality patients with COVID-19 in Saudi Arabia.

Risk factors for in-hospital mortality of COVID-19 patients in Saudi Arabia have not been well studied. Previous reports from other countries have highlighted the effect of age, gender, clinical presentation and health conditions on the outcome of COVID-19 patients. Saudi Arabia has a different epidemiological structure with a predominance of young population, which calls for separate study. The objective of this study is to assess the predictors of mortality among hospitalized patients with COVID-19 in Saudi Arabia. This is a retrospective observational cohort study of hospitalized adult COVID-19 patients at two tertiary hospitals in Saudi Arabia between May to July 2020. Electronic charts were retrospectively reviewed comparing survivors and non-survivors in terms of demographic and clinical variables and comorbid conditions. A total of 564 hospitalized patients with COVID-19 were included in the study. The overall in-hospital mortality rate was 20%. The non-survivors were significantly older than survivors (59.4 ± 13.7 years and 50.5 ± 13.9 years respectively P< 0.001). Diabetes mellitus, hypertension, heart failure and ischemic heart disease were more prevalent among non-survivors (P< 0.001). The mean values of glycosylated hemoglobin HgA1C, D-dimer, ferritin, lactate dehydrogenase LDH, Alanin aminotransferase ALT and creatinine were significantly higher among non-survivors (P < 0.05). Multivariate logistic regression analysis revealed that age (aOR = 1.04; 95% CI 1.02-1.08; P < 0.01), chronic kidney disease (aOR = 4.04; 95% CI 1.11-14.77; P < 0.05), acute respiratory distress syndrome ARDS (aOR = 14.53; 95% CI 5.42-38.69; P < 0.01), Mechanical Ventilation (aOR = 10.57; 95% CI 5.74-23.59; P < 0.01), Shock (aOR = 3.85; 95% CI 1.02-14.57; P < 0.05), admission to intensive care unit (ICU) (aOR = 0.12; 95% CI 0.04-0.33; P < 0.01) and length of stay (aOR = 0.96; 95% CI 0.93-0.99; P < 0.05) were significant contributors towards mortality. The in-hospital mortality rate of COVID-19 patients admitted to tertiary hospitals in Saudi Arabia is high. Older age, chronic kidney disease and ARDS were the most important predictors of mortality.

Medication Error During the Day and Night Shift on Weekdays and Weekends: A Single Teaching Hospital Experience in Riyadh, Saudi Arabia.

BACKGROUND: The association between medication error incidence and time (day shift vs night shift) have not been extensively studied in Saudi Arabia, this study aimed to answer this question: is there a relationship between medication error incidence and time of the day (day shifts vs night shifts) on weekdays and weekends?. OBJECTIVE: To identify whether medication errors and their sub-categories are significantly different between day shifts, night shifts, during weekdays and weekends. METHODS: A retrospective analysis of medication errors reported by health-care practitioners from January 2018 to December 2019 through the Electronic-Occurrence Variance Reporting System (E-OVR) of a university teaching hospital in Riyadh, Saudi Arabia. Statistical analysis was used to determine the differences between the medication errors and their sub-categories and day and night shifts during weekdays (from Sunday to Thursday) and weekends (Friday and Saturday). RESULTS: A total of 2626 medication errors were reported over 2 years from January 2018 to December 2019. The most prevalent sub-category of medication errors was prescribing errors (55%), while the least common sub-category of medication errors was administration errors (0.6%). There was a statistically significant difference between medication errors and day of the week. Medication errors that happened on weekdays were greater than at weekends (P = 0.01). During weekends, medication errors were more likely to occur at the night shift compared to the day shift (P < 0.05). CONCLUSION: Timing of medication errors incidence is an important factor to be considered for improving the medication use process and improving patient safety. Further researches are needed that focus on intervention to reduce these errors, especially during night shifts.

Cardiovascular Risk Factors Among Patients Infected with COVID-19 in Saudi Arabia.

BACKGROUND: Coronavirus disease (COVID-19) is a global pandemic with more than 60 million cases worldwide and over 1.5 million deaths by March 2021. Its outbreak has caused a huge burden on healthcare systems all over the world. Several studies in the medical literature have suggested that patients with underlying cardiovascular disease (CVD) are at higher risk for developing severe symptoms, poor prognosis, and high mortality rates. The aim of this study was to assess the prevalence of CVD risk factors among COVID-19 patients based on the Framingham risk score (FRS), and to evaluate the association of CVD risk factors with clinical outcomes. PATIENTS AND METHODS: In this retrospective cross-sectional study, we identified 264 confirmed cases with COVID-19 at King Saud University Medical City in Riyadh, Saudi Arabia. Patients aged 18-80 years were included, and their electronic records were reviewed. They were classified into low, intermediate, and high risk of CVD according to FRS classification. RESULTS: Two-hundred-six patients (67% male) were included in this study. The mean age was 55.3 ± 15.1 years. Most patients had comorbidities: the most common were hypertension (48.1%), diabetes (45.1%), and ischemic heart disease (11.2%). More than half required intensive care admission, and 58 (28.2%) patients died. Pneumonia was the most frequently observed complication (85%), followed by mechanical ventilation (28.3%) and acute kidney injury (27.7%). Age, male gender, hypertension, and diabetes mellitus showed significant differences between FRS categories, and were associated with intermediate and high-risk groups of FRS (p < 0.05). Pneumonia and length of stay were associated with the Intermediate risk group of FRS. CONCLUSION: Cardiovascular disease risk factors are prevalent in Saudi patients infected with COVID-19. FRS could be a useful tool to identify CVD risk factors among COVID-19 patients and predict a complicated course.