Risk of severe disease and mortality of COVID-19 in patients with Budd-Chiari syndrome: A population-based matched cohort study.

BACKGROUND & AIMS: Budd-Chiari syndrome (BCS) is a rare and potentially life-threatening disorder characterized by obstruction of the hepatic outflow tract. It is unknown whether patients with BCS represent a high risk for severe disease and mortality from coronavirus disease 2019 (COVID-19). Thus, we aimed to assess hospitalization rates, severe disease, all-cause mortality, intensive care unit (ICU) requirement and acute kidney injury (AKI) from COVID-19 diagnoses. METHODS & RESULTS: We identified 467 patients with BCS with COVID-19, 96 427 non-chronic liver disease (CLD) and 9652 non-BCS CLD. The BCS and non-CLD cohorts (n = 467 each) and BCS and non-BCS CLD (n = 440 each) were well balanced after propensity matching. When compared to the non-CLD cohort, the BCS group had a higher risk of all-cause mortality (5.1% vs. 2.4%, HR 2.18; 95% CI, 1.08-4.40), severe disease (6.0% vs. 2.4%, HR 2.20; 95% CI, 1.09-4.43), hospitalization (24.6% vs. 13.1%, HR 1.77; 95% CI, 1.30-2.42) and AKI (7.9% vs. 2.8%, HR 2.57; 95% CI, 1.37-4.85), but no significant differences in ICU requirements (2.4% vs. 2.1%, HR 0.75; 95% CI, 0.27-2.08) at 60-days time points. When compared to the non-BCS CLD cohort, the BCS group had a higher risk of all-cause mortality (3.6% vs. 2.5%, HR 3.94; 95% CI, 1.31-11.79), hospitalization (29.8% vs. 21.6%, HR 1.43; 95% CI, 1.09-1.86), but differences in ICU requirements (HR 0.90 (0.38-2.12)), AKI (HR 1.41 (0.86-2.30)) or severe disease (HR 1.92 (0.99-3.71)) did not reach statistical significance at 60-day follow up. CONCLUSION: In conclusion, COVID-19 infection in patients with BCS is associated with poor outcomes. Patients with BCS infected with COVID-19 carry a significantly higher risk of hospitalization and all-cause mortality and a possible effect on severe disease and AKI compared with COVID-19 patients without CLD or with non-BCS-CLD.

The impact of COVID-19 pandemic on lifestyle among the Saudi population.

Background: During COVID-19, major change occurred in the governmental regulations to combat the pandemic. Lifestyle factors are changeable habits and routine behaviors with an impact on physical and mental health. With the pandemic, sudden and radical changes occurred in the lifestyle of people worldwide. The main purpose of the study is to assess the impact of COVID-19 on lifestyle factors including (dietary habits, physical activity, sleeping patterns, smoking, and alcohol use) among the Saudi population. Design and methods: This is a cross-sectional study on a convenient sample of adults residing in Saudi Arabia. An online survey was distributed via social media channels. Descriptive statistics were used to analyze the distribution of demographic variables using Chi-square χ2 tests for categorical variables and t-test for continuous variables. Bowker test, and McNemar's Test were performed to evaluate the effects of lockdown on lifestyle factors. Results: A total of 1051 participants were included in the study. There was a slight decrease in the overall diet score during the pandemic (14.98%) compared to before the pandemic (15.05%) (p-value = 0.02), indicating poorer dietary intake during the lockdown. Approximately one-fourth of the participants (26.1%) reported following specific eating habits or a restricted diet during the pandemic (p-value = 0.0001). There was increased consumption of most components of dietary intake categories, during the lockdown. An increase in physical activities for three or more times was reported. A higher proportion of respondents reported sleeping nine or more hours a day during the lockdown (10.8%). Similarly, a higher percentage of individuals reported smoking daily during the lockdown (12.2%). As of overall health status, higher percentage of respondents reported poor health status during lockdown (6.1%). Conclusion: This study revealed major changes in lifestyle factors, negative shifts were revealed in dietary habits and smoking patterns. Positive changes were shown in physical activity, drinking water, and sleeping patterns. Our findings suggest that COVID-19 played a major role in changing lifestyle factors among adults in Saudi Arabia. Healthcare providers and public health officials are encouraged to increase awareness of healthy lifestyle factors that strengthen the immune system to combat COVID-19. The Saudi population needs increased awareness programs about healthy lifestyles to be prepared during pandemics.

A scoping review on the impact of the COVID-19 pandemic on physical activity and sedentary behavior in Saudi Arabia.

BACKGROUND: In Saudi Arabia, stay-at-home orders to address the coronavirus disease 2019 (COVID-19) pandemic between March 15 and 23, 2020 and eased on May 28, 2020. We conducted a scoping review to systematically describe physical activity and sedentary behavior in Saudi Arabia associated with the timing of the lockdown. METHODS: We searched six databases on December 13, 2021 for articles published in English or Arabic from 2018 to the search date. Studies must have reported data from Saudi Arabia for any age and measured physical activity or sedentary behavior. RESULTS: Overall, 286 records were found; after excluding duplicates, 209 records were screened, and 19 studies were included in the review. Overall, 15 studies were cross-sectional, and 4 studies were prospective cohorts. Three studies included children and adolescents (age: 2-18 years), and 16 studies included adults (age: 15-99 years). Data collection periods were < = 5 months, with 17 studies collecting data in 2020 only, one study in 2020-2021, and one study in 2021. The median analytic sample size was 363 (interquartile range 262-640). Three studies of children/adolescents collected behaviors online at one time using parental reporting, with one also allowing self-reporting. All three studies found that physical activity was lower during and/or following the lockdown than before the lockdown. Two studies found screen time, television watching, and playing video games were higher during or following the lockdown than before the lockdown. Sixteen adult studies assessed physical activity, with 15 utilizing self-reporting and one using accelerometry. Physical activity, exercise, walking, and park visits were all lower during or following the lockdown than before the lockdown. Six adult studies assessed sedentary behavior using self-report. Sitting time (4 studies) and screen time (2 studies) were higher during or following the lockdown than before the lockdown. CONCLUSIONS: Among children, adolescents, and adults, studies consistently indicated that in the short-term, physical activity decreased and sedentary behavior increased in conjunction with the movement restrictions. Given the widespread impact of the pandemic on other health behaviors, it would be important to continue tracking behaviors post-lockdown and identify subpopulations that may not have returned to their physical activity and sedentary behavior to pre-pandemic levels to focus on intervention efforts.

Impact of nonalcoholic fatty liver disease on clinical outcomes in patients with COVID-19 among persons living with HIV: A multicenter research network study.

BACKGROUND: People living with human immunodeficiency virus (PLWH) are at an increased risk of nonalcoholic fatty liver disease (NAFLD) but how these patients react to COVID-19 infection is unclear. We examined the clinical characteristics and outcomes of patients with and without nonalcoholic fatty liver disease (NAFLD) among people living with human immunodeficiency virus (PLWH) diagnosed with COVID-19. METHODS: A multicenter, retrospective cohort study was conducted using TriNetX. Participants diagnosed with COVID-19 between January 20, 2020, and October 31, 2021, in PLWH were identified and divided into cohorts based on preexisting NAFLD. The primary outcome was all-cause mortality, and secondary outcomes were hospitalization, severe disease, critical care, need for mechanical ventilation, and acute kidney injury(AKI). Propensity score matching (PSM) mitigated the imbalance among group covariates. Risk ratios (RR) with 95 % confidence intervals (CI) were calculated. RESULTS: Of the 5012 PLWH identified with confirmed COVID-19 during the study period, 563 had a diagnosis of NAFLD. After PSM, both groups were well-matched with 561 patients. The primary outcome did not differ between the cohorts at 30-days, even after a fully adjusted analysis, and the risk of all-cause mortality did not differ at 60 and 90 days. NAFLD had a significantly higher risk for hospitalization rates (RR 1.32; 95 % CI, 1.06-1.63) and AKI (RR 2.55; 95 % CI 1.42-4.57) than the non-NAFLD group at 30 days. No other differences were detected in other secondary outcome measures. CONCLUSIONS: Preexisting NAFLD is associated with an increased risk for hospitalization and AKI among PLWH infected with COVID-19. The potential role of NAFLD in developing severe COVID-19 among PLWH remains to be elucidated in future studies. Still, this study indicates the need for careful monitoring of this at-risk population.

Clinical characteristics and outcomes of COVID-19 in patients with autoimmune hepatitis: A population-based matched cohort study.

BACKGROUND: Patients with autoimmune hepatitis (AIH) require life-long immunosuppressive agents that may increase the risk of poor coronavirus disease 2019 (COVID-19) outcomes. There is a paucity of large data at the population level to assess whether patients with AIH have an increased risk of severe diseases. AIM: To evaluate the impact of pre-existing AIH on the clinical outcomes of patients with COVID-19. METHODS: We conducted a population-based, multicenter, propensity score-matched cohort study with consecutive adult patients (≥ 18 years) diagnosed with COVID-19 using the TriNeTx research network platform. The outcomes of patients with AIH (main group) were compared to a propensity score-matched cohort of patients: (1) Without chronic liver disease (CLD); and (2) Patients with CLD except AIH (non-AIH CLD) control groups. Each patient in the main group was matched to a patient in the control group using 1:1 propensity score matching to reduce confounding effects. The primary outcome was all-cause mortality, and secondary outcomes were hospitalization rate, need for critical care, severe disease, mechanical ventilation, and acute kidney injury (AKI). For each outcome, the risk ratio (RR) and confidence intervals (CI) were calculated to compare the association of AIH with the outcome. RESULTS: We identified 375 patients with AIH, 1647915 patients with non-CLD, and 15790 patients with non-AIH CLD with COVID-19 infection. Compared to non-CLD patients, the AIH cohort had an increased risk of all-cause mortality (RR = 2.22; 95%CI: 1.07-4.61), hospitalization rate (RR = 1.78; 95%CI: 1.17-2.69), and severe disease (RR = 1.98; 95%CI: 1.19-3.26). The AIH cohort had a lower risk of hospitalization rate (RR = 0.72; 95%CI: 0.56-0.92), critical care (RR = 0.50; 95%CI: 0.32-0.79), and AKI (RR = 0.56; 95%CI: 0.35-0.88) compared to the non-AIH CLD patients. CONCLUSION: Patients with AIH are associated with increased hospitalization risk, severe disease, and all-cause mortality compared to patients without pre-existing CLD from the diagnosis of COVID-19. However, patients with AIH were not at risk for worse outcomes with COVID-19 than other causes of CLD.

MERS-CoV Confirmation among 6,873 suspected persons and relevant Epidemiologic and Clinical Features, Saudi Arabia - 2014 to 2019.

BACKGROUND: Of the three lethal coronaviruses, in addition to the ongoing pandemic-causing SARS-CoV 2, Middle East Respiratory Syndrome Coronavirus (MERS-CoV) remains in circulation. Information on MERS-CoV has relied on small sample of patients. We updated the epidemiology, laboratory and clinical characteristics, and survival patterns of MERS-CoV retrospectively with the largest sample of followed patients. METHODS: We conducted a retrospective review of line-listed records of non-random, continuously admitted patients who were suspected (6,873) or confirmed with MERS-CoV (501) admitted to one of the four MERS-CoV referral hospitals in Saudi Arabia, 2014-2019. FINDINGS: Of the 6,873 MERS-CoV suspected persons, the majority were male (56%) and Saudi nationals (83%) and 95% had no known history that increased their risk of exposure to MERS-CoV patients or vectors (95%). More confirmed cases reported history that increased their risk of MERS-CoV infection (41%). Among the suspected, MERS-CoV confirmation (7.4% overall) was independently associated with being male, known transmission link to MERS-CoV patients or vectors, fever, symptoms for 7 days, admission through intensive care unit, and diabetes. Among persons with confirmed MERS-CoV, single symptoms were reported by 20%, 3-symptom combinations (fever, cough and dyspnea) reported by 21% and 2-symptom combinations (fever, cough) reported by 16%. Of the two-thirds (62%) of MERS-CoV confirmed patients who presented with co-morbidity, 32% had 2-"comorbidities (diabetes, hypertension). More than half of the MERS-CoV patents showed abnormal chest X-ray, elevated aspartate aminotransferase, and creatinine kinase. About a quarter of MERS-CoV patients had positive cultures on blood, urine, or respiratory secretions. During an average hospital stay of 18 days (range 11 to 30), 64% developed complications involving liver, lungs, or kidneys. Ventilation requirement (29% of MERS-CoV cases) was independently associated with abnormal chest X-ray, viremia (Ct value <30), elevated creatinine, and prothrombin time. Death (21% overall) was independently associated with older age, dyspnea and abnormal chest X-ray on admission, and low hemoglobulin levels. INTERPRETATIONS: With two-thirds of the symptomatic persons developing multiorgan complications MERS-CoV remains the coronavirus with the highest severity (29%) and case fatality rate (21%) among the three lethal coronaviruses. Metabolic abnormalities appear to be an independent risk factor for sustained MERS-CoV transmission. The poorly understood transmission dynamics and non-specific clinical and laboratory features call for high index of suspicion among respiratory disease experts to help early detection of outbreaks. We reiterate the need for case control studies on transmission. FUNDING: No special funding to declare.

Risk of Severe Illness and Risk Factors of Outcomes of COVID-19 in Hospitalized Patients with Chronic Liver Disease in a Major U. S. Hospital Network.

Methods: We studied 2731 patients with known CLD who were hospitalized at the Johns Hopkins Health System with COVID-19 between March 1, 2020, and December 15, 2021. The primary outcome was all-cause mortality, and secondary outcomes were MV and vasopressors. Multivariable Cox regression models were performed to explore factors associated with the outcomes. Results: Overall, 80.1% had severe COVID-19, all-cause mortality was 8.9%, 12.8% required MV, and 11.2% received vasopressor support. Older patients with underlying comorbidities were more likely to have severe COVID-19. There was association between elevated aminotransferases and total bilirubin with more severe COVID-19. Hepatic decompensation was independently associated with all-cause mortality (HR 2.94; 95% CI 1.23-7.06). Alcohol-related liver disease (ALD, HR 2.79, 95% CI, 1.00-8.02) was independently associated with increased risk for MV, and independent factors related to vasopressor support were chronic pulmonary disease and underlying malignancy. Conclusions: COVID-19 infection in patients with CLD is associated with poor outcomes. SARS-CoV-2 infection in patients with hepatic decompensation was associated with an increased risk of in-hospital mortality hazard, and ALD among patients with COVID-19 was associated with an increased hazard for MV.

Outcome of liver cancer patients with SARS-CoV-2 infection: An International, Multicentre, Cohort Study.

BACKGROUND & AIMS: Information about the impact of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in patients with liver cancer is lacking. This study characterizes the outcomes and mortality risk in this population. METHODS: Multicentre retrospective, cross-sectional, international study of liver cancer patients with SARS-CoV-2 infection registered between February and December 2020. Clinical data at SARS-CoV-2 diagnosis and outcomes were registered. RESULTS: Two hundred fifty patients from 38 centres were included, 218 with hepatocellular carcinoma (HCC) and 32 with intrahepatic cholangiocarcinoma (iCCA). The median age was 66.5 and 64.5 years, and 84.9% and 21.9% had cirrhosis in the HCC and iCCA cohorts respectively. Patients had advanced cancer stage at SARS-CoV-2 diagnosis in 39.0% of the HCC and 71.9% of the iCCA patients. After a median follow-up of 7.20 (IQR: 1.84-11.24) months, 100 (40%) patients have died, 48% of the deaths were SARS-CoV-2-related. Forty (18.4%) HCC patients died within 30-days. The death rate increase was significantly different according to the BCLC stage (6.10% [95% CI 2.24-12.74], 11.76% [95% CI 4.73-22.30], 20.69% [95% CI 11.35-31.96] and 34.52% [95% CI 17.03-52.78] for BCLC 0/A, B, C and D, respectively; p = .0017). The hazard ratio was 1.45 (95% CI 0.49-4.31; p = .5032) in BCLC-B versus 0/A, and 3.13 (95% CI 1.29-7.62; p = .0118) in BCLC-C versus 0/A in the competing risk Cox regression model. Nineteen out of 32 iCCA (59.4%) died, and 12 deaths were related to SARS-CoV-2 infection. CONCLUSIONS: This is the largest cohort of liver cancer patients infected with SARS-CoV-2. It characterizes the 30-day mortality risk of SARS-CoV-2 infected patients with HCC during this period.

COVID-19 Prognostic Models: A Pro-con Debate for Machine Learning vs. Traditional Statistics.

The SARS-CoV-2 virus, which causes the COVID-19 pandemic, has had an unprecedented impact on healthcare requiring multidisciplinary innovation and novel thinking to minimize impact and improve outcomes. Wide-ranging disciplines have collaborated including diverse clinicians (radiology, microbiology, and critical care), who are working increasingly closely with data-science. This has been leveraged through the democratization of data-science with the increasing availability of easy to access open datasets, tutorials, programming languages, and hardware which makes it significantly easier to create mathematical models. To address the COVID-19 pandemic, such data-science has enabled modeling of the impact of the virus on the population and individuals for diagnostic, prognostic, and epidemiological ends. This has led to two large systematic reviews on this topic that have highlighted the two different ways in which this feat has been attempted: one using classical statistics and the other using more novel machine learning techniques. In this review, we debate the relative strengths and weaknesses of each method toward the specific task of predicting COVID-19 outcomes.

Mortality and Pulmonary Embolism in Acute Respiratory Distress Syndrome From COVID-19 vs. Non-COVID-19.

Purpose: There may be a difference in respiratory mechanics, inflammatory markers, and pulmonary emboli in COVID-19 associated ARDS vs. ARDS from other etiologies. Our purpose was to determine differences in respiratory mechanics, inflammatory markers, and incidence of pulmonary embolism in patients with and without COVID-19 associated ARDS admitted in the same period and treated with a similar ventilation strategy. Methods: A cohort study of COVID-19 associated ARDS and non COVID-19 patients in a Saudi Arabian center between June 1 and 15, 2020. We measured respiratory mechanics (ventilatory ratio (VR), recruitability index (RI), markers of inflammation, and computed tomography pulmonary angiograms. Results: Forty-two patients with COVID-19 and 43 non-COVID patients with ARDS comprised the cohort. The incidence of "recruitable" patients using the recruitment/inflation ratio was slightly lower in COVID-19 patients (62 vs. 86%; p = 0.01). Fifteen COVID-19 ARDS patients (35.7%) developed a pulmonary embolism as compared to 4 (9.3%) in other ARDS patients (p = 0.003). In COVID-19 patients, a D-Dimer ≥ 5.0 mcg/ml had a 73% (95% CI 45-92%) sensitivity and 89% (95% CI 71-98%) specificity for predicting pulmonary embolism. Crude 60-day mortality was higher in COVID-19 patients (35 vs. 15%; p = 0.039) but three multivariate analysis showed that independent predictors of 60-day mortality included the ventilatory ratio (OR 3.67, 95% CI 1.61-8.35), PaO2/FIO2 ratio (OR 0.93; 95% CI 0.87-0.99), IL-6 (OR 1.02, 95% CI 1.00-1.03), and D-dimer (OR 7.26, 95% CI 1.11-47.30) but not COVID-19 infection. Conclusion: COVID-19 patients were slightly less recruitable and had a higher incidence of pulmonary embolism than those with ARDS from other etiologies. A high D-dimer was predictive of pulmonary embolism in COVID-19 patients. COVID-19 infection was not an independent predictor of 60-day mortality in the presence of ARDS.

SARS-CoV-2 antibody prevalence among healthcare workers: A cross-sectional study at a quaternary healthcare center in Saudi Arabia.

BACKGROUND: The objective of this study was to determine the seroprevalence of SARS-CoV-2 antibodies among Healthcare Workers (HCWs). METHODS: We carried out a cross-sectional study among 3644 HCWs at King Saud Medical City (KSMC) during the last two weeks of December 2020. A Google form survey was used to collect data on demographics, underlying health conditions, job duties, infection control competencies, COVID-19 exposure history, symptoms, and confirmed infections. FINDINGS: 26.5% demonstrated seropositivity to SARS-CoV-2 antibodies, 10-fold higher than the national seroprevalence (2.36) conducted in May 2020. Seropositivity was significantly higher among non-Saudi HCWs and participants who lived outside the hospital dormitory p < 0.0001 and 0.01, respectively). Seropositivity was significantly higher among HCWs who worked on clinical areas of high exposure level, and those who spent longer duration working with patients with COVID-19; p = 0.002 and 0.005, respectively). CONCLUSION: SARS-CoV-2 infections among HCWs can go unrecognized, which magnifies the importance of complying with universal masking and social distancing directives. Detecting SARS-CoV-2 antibodies in HCWs can help healthcare leaders in considering staff allocations and assignments accordingly.

Abnormal liver chemistries as a predictor of COVID-19 severity and clinical outcomes in hospitalized patients.

BACKGROUND: Abnormal liver chemistries are common findings in patients with Coronavirus Disease 2019 (COVID-19). However, the association of these abnormalities with the severity of COVID-19 and clinical outcomes is poorly understood. AIM: We aimed to assess the prevalence of elevated liver chemistries in hospitalized patients with COVID-19 and compare the serum liver chemistries to predict the severity and in-hospital mortality. METHODS: This retrospective, observational study included 3380 patients with COVID-19 who were hospitalized in the Johns Hopkins Health System (Baltimore, MD, United States). Demographic data, clinical characteristics, laboratory findings, treatment measures, and outcome data were collected. Cox regression modeling was used to explore variables associated with abnormal liver chemistries on admission with disease severity and prognosis. RESULTS: A total of 2698 (70.4%) had abnormal alanine aminotransferase (ALT) at the time of admission. Other more prevalent abnormal liver chemistries were aspartate aminotransferase (AST) (44.4%), alkaline phosphatase (ALP) (16.1%), and total bilirubin (T-Bil) (5.9%). Factors associated with liver injury were older age, Asian ethnicity, other race, being overweight, and obesity. Higher ALT, AST, T-Bil, and ALP levels were more commonly associated with disease severity. Multivariable adjusted Cox regression analysis revealed that abnormal AST and T-Bil were associated with the highest mortality risk than other liver injury indicators during hospitalization. Abnormal AST, T-Bil, and ALP were associated with a need for vasopressor drugs, whereas higher levels of AST, T-Bil, and a decreased albumin levels were associated with mechanical ventilation. CONCLUSION: Abnormal liver chemistries are common at the time of hospital admission in COVID-19 patients and can be closely related to the patient's severity and prognosis. Elevated liver chemistries, specifically ALT, AST, ALP, and T-Bil levels, can be used to stratify risk and predict the need for advanced therapies in these patients.

COVID-19 Prognostic Models: A Pro-con Debate for Machine Learning vs. Traditional Statistics

The SARS-CoV-2 virus, which causes the COVID-19 pandemic, has had an unprecedented impact on healthcare requiring multidisciplinary innovation and novel thinking to minimize impact and improve outcomes. Wide-ranging disciplines have collaborated including diverse clinicians (radiology, microbiology, and critical care), who are working increasingly closely with data-science. This has been leveraged through the democratization of data-science with the increasing availability of easy to access open datasets, tutorials, programming languages, and hardware which makes it significantly easier to create mathematical models. To address the COVID-19 pandemic, such data-science has enabled modeling of the impact of the virus on the population and individuals for diagnostic, prognostic, and epidemiological ends. This has led to two large systematic reviews on this topic that have highlighted the two different ways in which this feat has been attempted: one using classical statistics and the other using more novel machine learning techniques. In this review, we debate the relative strengths and weaknesses of each method toward the specific task of predicting COVID-19 outcomes.

The Saudi Critical Care Society practice guidelines on the management of COVID-19 in the ICU: Therapy section.

BACKGROUND: The rapid increase in coronavirus disease 2019 (COVID-19) cases during the subsequent waves in Saudi Arabia and other countries prompted the Saudi Critical Care Society (SCCS) to put together a panel of experts to issue evidence-based recommendations for the management of COVID-19 in the intensive care unit (ICU). METHODS: The SCCS COVID-19 panel included 51 experts with expertise in critical care, respirology, infectious disease, epidemiology, emergency medicine, clinical pharmacy, nursing, respiratory therapy, methodology, and health policy. All members completed an electronic conflict of interest disclosure form. The panel addressed 9 questions that are related to the therapy of COVID-19 in the ICU. We identified relevant systematic reviews and clinical trials, then used the Grading of Recommendations, Assessment, Development and Evaluation (GRADE) approach as well as the evidence-to-decision framework (EtD) to assess the quality of evidence and generate recommendations. RESULTS: The SCCS COVID-19 panel issued 12 recommendations on pharmacotherapeutic interventions (immunomodulators, antiviral agents, and anticoagulants) for severe and critical COVID-19, of which 3 were strong recommendations and 9 were weak recommendations. CONCLUSION: The SCCS COVID-19 panel used the GRADE approach to formulate recommendations on therapy for COVID-19 in the ICU. The EtD framework allows adaptation of these recommendations in different contexts. The SCCS guideline committee will update recommendations as new evidence becomes available.

Characteristics of healthcare workers with COVID-19: A retrospective descriptive study in a quaternary care center in Riyadh, Saudi Arabia.

BACKGROUND: The aim of this study was to describe the epidemiological and clinical presentation of Healthcare Workers (HCWs) affected by COVID-19. METHODS: A cross-sectional retrospective study was conducted at King Saud Medical City (KSMC), Saudi Arabia (KSA). All KSMC employees who acquired COVID-19 between March 22nd to July 15th, 2020 have been included. Their data has been anonymously analyzed. FINDINGS: During the study period, among the 12000 HCWs working at KSMC, 9.75% tested positive for COVID-19. The source of HCWs infections was mainly community acquired (85%) which included incidences of transmission in hospital dormitories. Transmission among coworkers was the main source of hospital acquired incidences. Direct patient care was reported in 99.8% of study subjects among the high-risk areas, compared to 3.4% in low-risk areas (p-value <0.001), 12-h shifts were more common in the medium and high-risk areas, and at least one symptom was reported by 93.1% of HCWs in high-risk areas compared to 81.6% in low-risk areas (p-value <0.001). CONCLUSION: In KSA, for HCWs, reducing lapses in compliance with masking in non-patient care areas should be considered. In KSA the role that hospital dormitories play in the community transmission of COVID-19 among HCWs need further studies.

Rare loss-of-function variants in type I IFN immunity genes are not associated with severe COVID-19.

A recent report found that rare predicted loss-of-function (pLOF) variants across 13 candidate genes in TLR3- and IRF7-dependent type I IFN pathways explain up to 3.5% of severe COVID-19 cases. We performed whole-exome or whole-genome sequencing of 1,864 COVID-19 cases (713 with severe and 1,151 with mild disease) and 15,033 ancestry-matched population controls across 4 independent COVID-19 biobanks. We tested whether rare pLOF variants in these 13 genes were associated with severe COVID-19. We identified only 1 rare pLOF mutation across these genes among 713 cases with severe COVID-19 and observed no enrichment of pLOFs in severe cases compared to population controls or mild COVID-19 cases. We found no evidence of association of rare LOF variants in the 13 candidate genes with severe COVID-19 outcomes.

Clinical Utility and Functionality of an Artificial Intelligence-Based App to Predict Mortality in COVID-19: Mixed Methods Analysis.

BACKGROUND: The artificial neural network (ANN) is an increasingly important tool in the context of solving complex medical classification problems. However, one of the principal challenges in leveraging artificial intelligence technology in the health care setting has been the relative inability to translate models into clinician workflow. OBJECTIVE: Here we demonstrate the development of a COVID-19 outcome prediction app that utilizes an ANN and assesses its usability in the clinical setting. METHODS: Usability assessment was conducted using the app, followed by a semistructured end-user interview. Usability was specified by effectiveness, efficiency, and satisfaction measures. These data were reported with descriptive statistics. The end-user interview data were analyzed using the thematic framework method, which allowed for the development of themes from the interview narratives. In total, 31 National Health Service physicians at a West London teaching hospital, including foundation physicians, senior house officers, registrars, and consultants, were included in this study. RESULTS: All participants were able to complete the assessment, with a mean time to complete separate patient vignettes of 59.35 (SD 10.35) seconds. The mean system usability scale score was 91.94 (SD 8.54), which corresponds to a qualitative rating of "excellent." The clinicians found the app intuitive and easy to use, with the majority describing its predictions as a useful adjunct to their clinical practice. The main concern was related to the use of the app in isolation rather than in conjunction with other clinical parameters. However, most clinicians speculated that the app could positively reinforce or validate their clinical decision-making. CONCLUSIONS: Translating artificial intelligence technologies into the clinical setting remains an important but challenging task. We demonstrate the effectiveness, efficiency, and system usability of a web-based app designed to predict the outcomes of patients with COVID-19 from an ANN.

COVID-19 Vaccine Acceptance among Health Care Workers in the Kingdom of Saudi Arabia.

OBJECTIVES: The purpose of our study was to assess COVID-19 vaccine acceptance among health care workers (HCWs) in the Kingdom of Saudi Arabia (KSA) and identify: 1) vaccine acceptance barriers; 2) demographic differences; and 3) the most trusted COVID-19 sources of information. METHODS: Between October and December 2020, all registered HCWs in the KSA were emailed a survey questionnaire, using Qualtrics® and Google Forms®, evaluating their acceptance of a COVID-19 vaccine. RESULTS: Of the 23,582 participants surveyed, 15,299 (64.9%) said they would accept a COVID-19 vaccine. Vaccine acceptance among HCWs differed by several demographic characteristics, with males (69.7%), Christians (71.9%), and Pakistanis (81.6%) most likely to accept a COVID-19 vaccine. Of the 8,202 (35.1%) who said they would not accept a COVID-19 vaccine, the main reason reported was fear of potential side effects (58.5%). Participants reported health officials (84.6%) as the most reliable source of COVID-19 information. Additionally, participants reported the highest confidence in the KSA Ministry of Health (88.5%). CONCLUSIONS: Overall, these findings provide KSA health care authorities with the information needed to develop public health messaging campaigns for HCWs to best address COVID-19 vaccine concerns-especially as the country prepares to vaccinate its general population.

Use of COVID-19 vaccines in patients with liver disease and post-liver transplantation: Position statement of the Saudi association for the study of liver diseases and transplantation.

Patients with chronic liver disease (CLD) and liver transplant recipients are at increased risk of morbidity and mortality from coronavirus disease 2019 (COVID-19). Although several studies demonstrated the safety and efficacy of COVID-19 vaccines in the general population, data in CLD patients and liver transplant recipients are lacking. Two COVID-19 vaccines were approved by the Saudi Food and Drug Authority and rolled out to several million recipients in Saudi Arabia. These vaccines are mRNA-based vaccine BNT162b2 from Pfizer/BioNTech and adenovirus-based AZD1222 from Oxford/AstraZeneca from three manufacturing sites (EU Nodes, Serum Institute of India, and South Korea Bio). The Saudi Association for the Study of Liver diseases and Transplantation (SASLT) has reviewed the available evidence and issued interim recommendations for COVID-19 vaccination in CLD and liver transplant recipients. Since there is no evidence contradicting the safety and immunogenicity of the currently approved COVID-19 vaccines in patients with CLD and hepatobiliary cancer and liver transplant recipients, the SASLT recommends vaccination in those patient populations. CLD and hepatobiliary cancer patients and liver transplant recipients should be prioritized depending on the risk factors for severe COVID-19. In transplant recipients, the optimal timing of vaccination remains unknown; however, immunization is recommended after the initial immunosuppression phase. Patients with CLD and liver transplant candidates or recipients should be closely monitored after COVID-19 vaccination. These patient populations should be included in future clinical trials to provide further evidence on the efficacy and safety of COVID-19 vaccines.

Exploring the Impact of COVID-19 Response on Population Health in Saudi Arabia: Results from the "Sharik" Health Indicators Surveillance System during 2020.

BACKGROUND: Although some studies have explored the effects of responses to COVID-19 on mortality, there are limited data on their effects on more immediate health risk factors and the trends of chronic diseases. OBJECTIVE: To explore the prevalence of some behavioral health risk factors, intermediate risk factors, and chronic diseases at different timepoints during 2020 using the data available from a currently used surveillance system in Saudi Arabia. METHODS: This study undertook a secondary analysis of data from the Sharik Health Indicators Surveillance System (SHISS). The SHISS employs short cross-sectional phone interviews, conducted in all 13 administrative regions of Saudi Arabia on a quarterly basis. Each interview lasts approximately 4 min and is conducted by a trained data collector. The SHISS collects demographic data, as well as data on the major behavioral and intermediate chronic disease risk factors and the major chronic diseases, including diabetes, heart disease, stroke, cancer, and chronic respiratory diseases. RESULTS: Of the 44,782 potential participants contacted in 2020, 30,134 completed the interview, with a response rate of 67.29%. Out of the total participants, 51.2% were female. The mean age was 36.5. The behavioral risk factors in this period exhibited significant changes compared to those in the first quarter (Q1) of 2020, when there were no significant restrictions on daily activities. These significant changes are related to reductions in fruit and vegetable intake (adjusted odds ratio (AOR), 0.23) and physical activity (AOR, 0.483), and a significant increase in e-cigarette use (AOR 1.531). In terms of the intermediate risk factors observed in the SHISS, significant increases in hypercholesterolemia (AOR, 1.225) and hypertension (AOR, 1.190) were observed. Finally, heart disease (AOR, 1.279) and diabetes (AOR, 1.138) displayed significant increases compared to Q1. CONCLUSIONS: This study shows some evidence of the impact of responses to COVID-19 on the health of the population in Saudi Arabia. Significant reductions in fruit and vegetable intake and physical activity, and significant increases in e-cigarette use, hypertension, and hypercholesterolemia may increase the burden of chronic diseases in Saudi Arabia in the near future. Thus, continuous monitoring of the health risk factors within the population, and early interventions, are recommended to prevent future increases in chronic diseases.