Global and Regional Volatility Spillovers to GCC Stock Markets

This paper examines the effects of return spillovers from regional (Saudi Arabia) and global (US) markets to GCC stock markets (Bahrain, Oman, Kuwait, Qatar, United Arab Emirates). The paper develops various bivariate GARCH models for regional and global returns: BEKK, constant correlation and dynamic correlation. The specification tests are used to choose between the models with and without asymmetric effects. The estimated innovations for the regional and global returns are then used as input for the univariate volatility spillover model which allows the unexpected returns of any particular GCC stock market be driven by three sources of shocks: local, regional from Saudi Arabia and global from US. We find significant return spillover effects from Saudi Arabia and US to GCC markets. Trade, turnover and institutional quality has significant impacts on regional volatility spillovers from Saudi Arabia to GCC markets. There are macroeconomic policy implications associated with the strengthening of intra-regional and cross-border trade in goods, services and assets and regulatory framework

Global and Regional Volatility Spillovers to GCC Stock Markets

This paper examines the effects of return spillovers from regional (Saudi Arabia) and global (US) markets to GCC stock markets (Bahrain, Oman, Kuwait, Qatar, United Arab Emirates). The paper develops various bivariate GARCH models for regional and global returns: BEKK, constant correlation and dynamic correlation. The specification tests are used to choose between the models with and without asymmetric effects. The estimated innovations for the regional and global returns are then used as input for the univariate volatility spillover model which allows the unexpected returns of any particular GCC stock market be driven by three sources of shocks: local, regional from Saudi Arabia and global from US. We find significant return spillover effects from Saudi Arabia and US to GCC markets. Trade, turnover and institutional quality has significant impacts on regional volatility spillovers from Saudi Arabia to GCC markets. There are macroeconomic policy implications associated with the strengthening of intra-regional and cross-border trade in goods, services and assets and regulatory framework

Perceived Risk of falls among Acute Care Patients

Purpose: In an effort to lower the number of falls that occur among hospitalized patients, several facilities have begun introducing various fall prevention programs. However, the efficacy of fall prevention programs is diminished if patients do not consider themselves to be at risk for falls and do not follow recommended procedures. The goal of this study was to characterize how patients in four different acute care specialist services felt about their risk of falling while in the hospital. Methods: One hundred patients admitted to the study hospital with a Morse Fall Scale score of 45 or higher were given the Patient Perception Questionnaire, a tool designed to assess a patient's perception of their own fall risk, fear of falling, and motivation to take part in fall prevention efforts. Scores on the Morse Fall Scale were gathered through a historical assessment of medical records. Descriptive statistics, Pearson's correlation coefficients, and independent sample t tests were used to examine the data. Results: The average age was 65, and around half (52%) were men and half (48%) were women. Based on their ratings on the Morse Fall Scale, all 100 participants were classified as being at high risk for falls. However, only 55.5% of the individuals agreed with this assessment. The likelihood that a patient would seek assistance and the degree to which they feared falling both declined as their faith in their mobility improved. Patients hospitalized after a fall exhibited considerably lower confidence scores and greater fear scores than patients who had not been injured in a fall. Conclusions: Patients who have a high fall risk assessment score may not believe they are at risk for falls and may not take any steps to reduce their risk. The prevalence of falls in hospitals might be mitigated by the creation of a fall risk assessment technique that takes into account both objective and subjective factors

Efficacy and safety of empagliflozin in type 2 diabetes mellitus Saudi patients as add-on to antidiabetic therapy: a prospective, open-label, observational study

The Saudi Food and Drug Authority (SFDA) approved sodium-glucose cotransporter-2 (SGLT2) inhibitors in 2018. The efficacy and safety of empagliflozin (EMPA) have been confirmed in the U.S., Europe, and Japan for patients with type 2 diabetes mellitus (T2DM); however, analogous evidence is lacking for Saudi T2DM patients. Therefore, the current study aimed to assess the efficacy and safety of EMPA in Saudi patients (n = 256) with T2DM. This is a 12-week prospective, open-label, observational study. Adult Saudi patients with T2DM who had not been treated with EMPA before enrolment were eligible. The exclusion criteria included T2DM patients less than 18 years of age, adults with type one diabetes, pregnant women, paediatric population. The results related to efficacy included a significant decrease in haemoglobin A1c (HbA1c) (adjusted mean difference −0.93% [95% confidence interval (CI) −0.32, −1.54]), significant improvements in fasting plasma glucose (FPG) (−2.28 mmol/L [95% CI −2.81, −1.75]), and a reduction in body weight (−0.874 kg [95% CI −4.36, −6.10]) following the administration of 25 mg of EMPA once daily as an add-on to ongoing antidiabetic therapy after 12 weeks. The primary safety endpoints were the change in the mean blood pressure (BP) values, which indicated significantly reduced systolic and diastolic BP (−3.85 mmHg [95% CI −6.81, −0.88] and −0.06 mmHg [95% CI −0.81, −0.88], respectively) and pulse rate (−1.18 [95% CI −0.79, −3.15]). In addition, kidney function was improved, with a significant reduction in the urine albumin/creatinine ratio (UACR) (−1.76 mg/g [95% CI −1.07, −34.25]) and a significant increase in the estimated glomerular filtration rate (eGFR) (3.54 mL/min/1.73 m2 [95% CI 2.78, 9.87]). Furthermore, EMPA reduced aminotransferases (ALT) in a pattern (reduction in ALT > AST). The adjusted mean difference in the change in ALT was −2.36 U/L [95% CI −1.031, −3.69], while it was −1.26 U/L [95% CI −0.3811, −2.357] for AST and −1.98 U/L [95% CI −0.44, −3.49] for GGT. Moreover, in the EMPA group, serum high-density lipoprotein (HDL) significantly increased (0.29 mmol/L [95% CI 0.74, 0.15]), whereas a nonsignificant increase was seen in low-density lipoprotein (LDL) (0.01 mmol/L [95% CI 0.19, 0.18]) along with a significant reduction in plasma triglyceride (TG) levels (−0.43 mmol/L [95% CI −0.31, −1.17]). Empagliflozin once daily is an efficacious and tolerable strategy for treating Saudi patients with insufficiently controlled T2DM as an add-on to ongoing antidiabetic therapy

Erratum to: 36th International Symposium on Intensive Care and Emergency Medicine

[This corrects the article DOI: 10.1186/s13054-016-1208-6.]

Whole-genome sequencing reveals host factors underlying critical COVID-19

Critical COVID-19 is caused by immune-mediated inflammatory lung injury. Host genetic variation influences the development of illness requiring critical care1 or hospitalization2–4 after infection with SARS-CoV-2. The GenOMICC (Genetics of Mortality in Critical Care) study enables the comparison of genomes from individuals who are critically ill with those of population controls to find underlying disease mechanisms. Here we use whole-genome sequencing in 7,491 critically ill individuals compared with 48,400 controls to discover and replicate 23 independent variants that significantly predispose to critical COVID-19. We identify 16 new independent associations, including variants within genes that are involved in interferon signalling (IL10RB and PLSCR1), leucocyte differentiation (BCL11A) and blood-type antigen secretor status (FUT2). Using transcriptome-wide association and colocalization to infer the effect of gene expression on disease severity, we find evidence that implicates multiple genes—including reduced expression of a membrane flippase (ATP11A), and increased expression of a mucin (MUC1)—in critical disease. Mendelian randomization provides evidence in support of causal roles for myeloid cell adhesion molecules (SELE, ICAM5 and CD209) and the coagulation factor F8, all of which are potentially druggable targets. Our results are broadly consistent with a multi-component model of COVID-19 pathophysiology, in which at least two distinct mechanisms can predispose to life-threatening disease: failure to control viral replication; or an enhanced tendency towards pulmonary inflammation and intravascular coagulation. We show that comparison between cases of critical illness and population controls is highly efficient for the detection of therapeutically relevant mechanisms of disease

SARS-CoV-2 susceptibility and COVID-19 disease severity are associated with genetic variants affecting gene expression in a variety of tissues

Variability in SARS-CoV-2 susceptibility and COVID-19 disease severity between individuals is partly due to genetic factors. Here, we identify 4 genomic loci with suggestive associations for SARS-CoV-2 susceptibility and 19 for COVID-19 disease severity. Four of these 23 loci likely have an ethnicity-specific component. Genome-wide association study (GWAS) signals in 11 loci colocalize with expression quantitative trait loci (eQTLs) associated with the expression of 20 genes in 62 tissues/cell types (range: 1:43 tissues/gene), including lung, brain, heart, muscle, and skin as well as the digestive system and immune system. We perform genetic fine mapping to compute 99% credible SNP sets, which identify 10 GWAS loci that have eight or fewer SNPs in the credible set, including three loci with one single likely causal SNP. Our study suggests that the diverse symptoms and disease severity of COVID-19 observed between individuals is associated with variants across the genome, affecting gene expression levels in a wide variety of tissue types

SARS-CoV-2 susceptibility and COVID-19 disease severity are associated with genetic variants affecting gene expression in a variety of tissues

Variability in SARS-CoV-2 susceptibility and COVID-19 disease severity between individuals is partly due to genetic factors. Here, we identify 4 genomic loci with suggestive associations for SARS-CoV-2 susceptibility and 19 for COVID-19 disease severity. Four of these 23 loci likely have an ethnicity-specific component. Genome-wide association study (GWAS) signals in 11 loci colocalize with expression quantitative trait loci (eQTLs) associated with the expression of 20 genes in 62 tissues/cell types (range: 1:43 tissues/gene), including lung, brain, heart, muscle, and skin as well as the digestive system and immune system. We perform genetic fine mapping to compute 99% credible SNP sets, which identify 10 GWAS loci that have eight or fewer SNPs in the credible set, including three loci with one single likely causal SNP. Our study suggests that the diverse symptoms and disease severity of COVID-19 observed between individuals is associated with variants across the genome, affecting gene expression levels in a wide variety of tissue types

Whole-genome sequencing reveals host factors underlying critical COVID-19

Critical COVID-19 is caused by immune-mediated inflammatory lung injury. Host genetic variation influences the development of illness requiring critical care1 or hospitalization2,3,4 after infection with SARS-CoV-2. The GenOMICC (Genetics of Mortality in Critical Care) study enables the comparison of genomes from individuals who are critically ill with those of population controls to find underlying disease mechanisms. Here we use whole-genome sequencing in 7,491 critically ill individuals compared with 48,400 controls to discover and replicate 23 independent variants that significantly predispose to critical COVID-19. We identify 16 new independent associations, including variants within genes that are involved in interferon signalling (IL10RB and PLSCR1), leucocyte differentiation (BCL11A) and blood-type antigen secretor status (FUT2). Using transcriptome-wide association and colocalization to infer the effect of gene expression on disease severity, we find evidence that implicates multiple genes—including reduced expression of a membrane flippase (ATP11A), and increased expression of a mucin (MUC1)—in critical disease. Mendelian randomization provides evidence in support of causal roles for myeloid cell adhesion molecules (SELE, ICAM5 and CD209) and the coagulation factor F8, all of which are potentially druggable targets. Our results are broadly consistent with a multi-component model of COVID-19 pathophysiology, in which at least two distinct mechanisms can predispose to life-threatening disease: failure to control viral replication; or an enhanced tendency towards pulmonary inflammation and intravascular coagulation. We show that comparison between cases of critical illness and population controls is highly efficient for the detection of therapeutically relevant mechanisms of disease