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The emergence of the Severe Acute Respiratory Syndrome Coronavirus 2 (SARSCoV- 2) in t Wuhan City, China. The SARS-CoV-2 crossed borders and quickly transformed into a “Public health emergency of international concern”. Countries around the globe are in the race to achieve herd immunity. We describe the steps taken by Saudi Arabia to achieve this goal.

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Introduction: Due to the diversity of reports and on the rates of medications errors (MEs) in Saudi Arabia, we performed the first meta-analysis to determine the rate of medications errors in Saudi Arabia using meta-analysis in the hospital settings. Methods: We conducted a systematic literature search through August 2019 using PubMed, EMBASE, CINAHL, PsycINFO, and Google Scholar to identify all observational studies conducted in hospital settings in Saudi Arabia that reported the rate of MEs. A random-effects models were used to calculate overall MEs, as well as prescribing, dispensing, and administration error rates. The I 2 statistics were used to analyze heterogeneity. Results: Sixteen articles were included in this search. The total incidence of MEs in Saudi Arabia hospitals was estimated at 44.4%. Prescribing errors, dispensing errors, and adminstration errors incidents represent 40.2%, 28.2%, and 34.5% out of the total number of reported MEs, respectively. However, between-study heterogeneity was also generally found to be >90% (I-squared statistic). Conclusions: This study demonstrates the MEs common in health facilities. Additional efforts in the field are needed to improve medication management systems in order to prevent patient harm incidents.

The association between healthcare expenditures and outcomes, mainly mortality and life expectancy, is complex. The real explanation for this association is not clear, especially in the Middle East and North Africa (MENA) region. This study assesses the impact of health expenditures on improving healthcare systems and health status and finds a relationship between health expenditures and health outcomes across different region. Annual time series data on healthcare spending and outcomes from 1995 to 2015 were used for MENA region in comparison to developed and developing countries. Health expenditure was adjusted by the consumer price index equation to the 2015 US dollar eliminate the impact of inflation on our results. For many countries, spending on healthcare continues to rise, Among MENA countries, we found that the United Arab Emirates and Kuwait spent more per capita on health, $1,711 and $1,420, respectively, than any other countries in the region. Although this study demonstrated a relationship between total healthcare expenditure and outcomes, some countries spend more on healthcare but have shorter life expectancy. In most countries, efficient and effective utilization of healthcare resources is the key strategy for improving health outcomes in any country. The lack of a positive correlation between healthcare spending and life expectancy may indicate that health resources are not allocated effectively. In those cases, increasing health spending does not guarantee that there is any kind of improvement in healthcare.

This meta-analysis demonstrated a lower recurrence rate of craniopharyngioma among children treated with GHRT than those who were not.

Background The novel coronavirus disease (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) was first reported in China and later spread rapidly to other parts of the world, including Africa. Africa was projected to be devastated by COVID-19. There is currently limited data regarding regional predictors of mortality among patients with COVID-19. This study aimed to evaluate the independent risk factors associated with mortality among patients with COVID-19 in Africa. Methods A total of 1028 confirmed cases of COVID-19 from Africa with definite survival outcomes were identified retrospectively from an open-access individual-level worldwide COVID-19 database. The live version of the dataset is available at https:// github.com/beoutbreakprepared/nCoV2019. Multivariable logistic regression was conducted to determine the risk factors that independently predict mortality among patients with COVID-19 in Africa. Results Of the 1028 cases included in study, 432 (42.0%) were females with a median (interquartile range, IQR) age of 50 (24) years. Older age (adjusted odds ratio {aOR} 1.06; [95% confidence intervals {95% CI}, 1.04-1.08]), presence of chronic disease (aOR 9.63; [95% CI, 3.84-24.15]), travel history (aOR 2.44; [95% CI, 1.26-4.72]), as well as locations of Central Africa (aOR 0.14; [95% CI, 0.03-0.72]) and West Africa (aOR 0.12; [95% CI, 0.04-0.32]) were identified as the independent risk factors significantly associated with increased mortality among the patients with COVID-19. Conclusions The COVID-19 pandemic is evolving gradually in Africa. Among patients with COVID-19 in Africa, older age, presence of chronic disease, travel history, and the locations of Central Africa and West Africa were associated with increased mortality. A regional response should prioritize strategies that will protect these populations. Also, conducting a further in-depth study could provide more insights into additional factors predictive of mortality in COVID-19 patients.

RationaleAcute exacerbations of chronic obstructive pulmonary disease (AECOPD) are caused by a variety of different etiologic agents. Our aim was to phenotype COPD exacerbations using imaging (chest X-ray [CXR] and computed tomography [CT]) and to determine the possible role of the blood tests (C-reactive protein [CRP], the N-terminal prohormone brain natriuretic peptide [NT-proBNP]) as diagnostic biomarkers.Materials and methodsSubjects who were hospitalized with a primary diagnosis of AECOPD and who had had CXRs, CT scans, and blood collection for CRP and NT-proBNP were assessed in this study. Radiologist blinded to the clinical and laboratory characteristics of the subjects interpreted their CXRs and CT images. ANOVA and Spearman’s correlation were performed to test for associations between these imaging parameters and the blood-based biomarkers NT-proBNP and CRP; logistic regression models were used to assess the performance of these biomarkers in predicting the radiological parameters.ResultsA total of 309 subjects were examined for this study. Subjects had a mean age of 65.6±11.1 years, 66.7% of them were males, and 62.4% were current smokers, with a mean FEV1 54.4%±21.5% of predicted. Blood NT-proBNP concentrations were associated with cardiac enlargement (area under the curve [AUC] =0.72, P<0.001), pulmonary edema (AUC =0.63, P=0.009), and pleural effusion on CXR (AUC =0.64, P=0.01); whereas on CT images, NT-proBNP concentrations were associated with pleural effusion (AUC =0.71, P=0.002). Serum CRP concentrations, on the other hand, were associated with consolidation on CT images (AUC =0.75, P<0.001), ground glass opacities (AUC =0.64, P=0.028), and pleural effusion (AUC =0.72, P<0.001) on CT images. A serum CRP sensitivity-oriented cutoff point of 11.5 mg/L was selected for the presence of consolidation on CT images in subjects admitted as cases of AECOPD, which has a sensitivity of 91% and a specificity of 53% (P<0.001).ConclusionElevated CRP may indicate the presence of pneumonia, while elevated NT-proBNP may indicate cardiac dysfunction. These readily available blood-based biomarkers may provide more accurate phenotyping of AECOPD and enable the discovery of more precise therapies.