Clinical course and mortality risk of severe COVID-19

Respiratory rate-oxygenation index on the 3rd day is the best predictor of treatment failure in COVID-19 patients

Predictors of outcomes are essential to identifying severe COVID-19 cases and optimizing treatment and care settings. The respiratory rate-oxygenation (ROX) index, originally introduced for predicting the failure of non-invasive support in acute hypoxemic respiratory failure (AHRF), has not been extensively studied over time during hospitalization. This multicenter prospective observational study analyzed COVID-19-related AHRF patients admitted to eight Italian hospitals during the second pandemic wave. The study assessed the ROX index using receiver operator characteristic curves and areas under the curve with 95% confidence intervals to predict treatment failure, defined as endotracheal intubation (ETI) or death. A total of 227 patients (69.2% males) were enrolled, with a median arterial partial pressure of oxygen (PaO2)/fraction of inspired oxygen (FiO2) ratio at admission of 248 (interquartile range: 170-295). Nearly one-third (29.5%) required ETI or died during hospitalization. Those who experienced treatment failure were older (median age 70 versus 61 years, p<0.001), more likely to be current or former smokers (8.5% versus 6.4% and 42.4% versus 25.5%, p=0.039), had a higher prevalence of cardiovascular diseases (74.6% versus 46.3%, p<0.001), and had a lower PaO2/FiO2 ratio at presentation (median 229 versus 254, p=0.014). Gender, body mass index, and other comorbidities showed no significant differences. In patients who failed treatment, the ROX index was higher at presentation and worsened sharply by days 3 and 4. Conversely, in patients who survived without requiring ETI, the ROX index remained stable and reduced after 5-6 days. The ROX index's predictive ability improved notably by the third day of hospitalization, with the best cut-off value identified at 8.53 (sensitivity 75%, specificity 68%). Kaplan-Meier curves indicated that a ROX index of 8.53 or lower on days 1, 2, or 3 was associated with a higher risk of treatment failure. Thus, a single ROX index assessment on day 3 is more informative than its variability over time, with values of 8.53 or lower predicting non-invasive respiratory support failure in hospitalized COVID-19 patients.

Clinical prediction model for bacterial co-infection in hospitalized COVID-19 patients during four waves of the pandemic

The reported estimates of bacterial co-infection in COVID-19 patients are highly variable. We aimed to determine the rates and risk factors of bacterial co-infection and develop a clinical prediction model to support early decision-making on antibiotic use. This is a retrospective cohort study conducted in a tertiary-level academic hospital in Israel between March 2020 and May 2022. All adult patients with severe COVID-19 who had a blood or lower respiratory specimen sent for microbiological analyses within 48 h of admission were included. The primary study endpoint was the prevalence of bacterial co-infection at the time of hospital admission. We created a prediction model using the R XGBoost package. The study cohort included 1,050 patients admitted with severe or critical COVID-19. Sixty-two patients (5.9%) had a microbiologically proven bacterial infection on admission. The variables with the greatest impact on the prediction model were age, comorbidities, functional capacity, and laboratory parameters. The model achieved perfect prediction on the training set (area under the curve = 1.0). When applied to the test dataset, the model achieved 56% and 78% specificity with the area under the receiver operating curve of 0.784. The negative and positive predictive values were 0.975 and 0.105, respectively. Applying the prediction model would have resulted in a 2.5-fold increase in appropriate antibiotic use and an 18% reduction in inappropriate use in patients with severe and critical COVID-19. The use of a clinical prediction model can support decisions to withhold empiric antimicrobial treatment at the time of hospital admission without adversely affecting patient outcomes.

IMPORTANCE

Estimates of bacterial coinfection in COVID-19 patients are highly variable and depend on many factors. Patients with severe or critical COVID-19 requiring intensive care unit admission have the highest risk of infection-related complications and death. Thus, the study of the incidence and risk factors for bacterial coinfection in this population is of special interest and may help guide empiric antibiotic therapy and avoid unnecessary antimicrobial treatment. The prediction model based on clinical criteria and simple laboratory tests may be a useful tool to predict bacterial co-infection in patients hospitalized with severe COVID-19.

Distinct soluble immune checkpoint profiles characterize COVID-19 severity, mortality and SARS-CoV-2 variant infections

Introduction

Over the past four years, the COVID-19 pandemic has posed serious global health challenges. The severe form of disease and death resulted from the failure of immune regulatory mechanisms, closely highlighted by the dual proinflammatory cytokine and soluble immune checkpoint (sICP) storm. Identifying the individual factors impacting on disease severity, evolution and outcome, as well as any additional interconnections, have become of high scientific interest.

Methods

In this study, we evaluated a novel panel composed of ten sICPs for the predictive values of COVID-19 disease severity, mortality and Delta vs. Omicron variant infections in relation to hyperinflammatory biomarkers. The serum levels of sICPs from confirmed SARS-CoV-2 infected patients at hospital admission were determined by Luminex, and artificial neural network analysis was applied for defining the distinct patterns of molecular associations with each form of disease: mild, moderate, and severe.

Results

Notably, distinct sICP profiles characterized various stages of disease and Delta infections: while sCD40 played a central role in all defined diagrams, the differences emerged from the distribution levels of four molecules recently found and relatively less investigated (sCD30, s4-1BB, sTIM-1, sB7-H3), and their associations with various hematological and biochemical inflammatory biomarkers. The artificial neural network analysis revealed the prominent role of serum sTIM-1 and Galectin-9 levels at hospital admission in discriminating between survivors and non-survivors, as well as the role of specific anti-interleukin therapy (Tocilizumab, Anakinra) in improving survival for patients with initially high sTIM-1 levels. Furthermore, strong associations between sCD40 and Galectin-9 with suPAR defined the Omicron variant infections, while the positive match of sCD40 with sTREM-1 serum levels characterized the Delta-infected patients.

Conclusions

Of importance, this study provides a comprehensive analysis of circulatory immune factors governing the COVID-19 pathology, and identifies key roles of sCD40, sTIM-1, and Galectin-9 in predicting mortality.

SARS-CoV-2 evolution has increased resistance to monoclonal antibodies and first-generation COVID-19 vaccines: Is there a future therapeutic role for soluble ACE2 receptors for COVID-19?

COVID-19 has caused calamitous health, economic and societal consequences. Although several COVID-19 vaccines have received full authorization for use, global deployment has faced political, financial and logistical challenges. The efficacy of first-generation COVID-19 vaccines is waning and breakthrough infections are allowing ongoing transmission and evolution of SARS-CoV-2. Furthermore, COVID-19 vaccine efficacy relies on a functional immune system. Despite receiving three primary doses and three or more heterologous boosters, some immunocompromised patients may not be adequately protected by COVID-19 vaccines and remain vulnerable to severe disease. The evolution of new SARS-CoV-2 variants has also resulted in the rapid obsolescence of monoclonal antibodies. Convalescent plasma from COVID-19 survivors has produced inconsistent results. New drugs such as Paxlovid (nirmatrelvir/ritonavir) are beyond the reach of low- and middle-income countries. With widespread use of Paxlovid, it is likely nirmatrelvir-resistant clades of SARS-CoV-2 will emerge in the future. There is thus an urgent need for new effective anti-SARS-CoV-2 treatments. The in vitro efficacy of soluble ACE2 against multiple SARS-CoV-2 variants including omicron (B.1.1.529), was recently described using a competitive ELISA assay as a surrogate marker for virus neutralization. This indicates soluble wild-type ACE2 receptors are likely to be resistant to viral evolution. Nasal and inhaled treatment with soluble ACE2 receptors has abrogated severe disease in animal models of COVID-19. There is an urgent need for clinical trials of this new class of antiviral therapeutics, which could complement vaccines and Paxlovid.

Outcomes and Impact of Pre-ECMO Clinical Course in Severe COVID-19-Related ARDS Treated with VV-ECMO: Data from an Italian Referral ECMO Center

Background: The efficacy of veno-venous extracorporeal membrane oxygenation (VV-ECMO) as rescue therapy for refractory COVID-19-related ARDS (C-ARDS) is still debated. We describe the cohort of C-ARDS patients treated with VV-ECMO at our ECMO center, focusing on factors that may affect in-hospital mortality and describing the time course of lung mechanics to assess prognosis. Methods: We performed a prospective observational study in the intensive care unit at the "Città della Salute e della Scienza" University Hospital in Turin, Italy, between March 2020 and December 2021. Indications and management of ECMO followed the Extracorporeal Life Support Organization (ELSO) guidelines. Results: The 60-day in-hospital mortality was particularly high (85.4%). Non-survivor patients were more frequently treated with non-invasive ventilatory support and steroids before ECMO (95.1% vs. 57.1%, p = 0.018 and 73.2% vs. 28.6%, p = 0.033, respectively), while hypertension was the only pre-ECMO factor independently associated with in-hospital mortality (HR: 2.06, 95%CI: 1.06-4.00). High rates of bleeding (85.4%) and superinfections (91.7%) were recorded during ECMO, likely affecting the overall length of ECMO (18 days, IQR: 10-24) and the hospital stay (32 days, IQR: 24-47). Static lung compliance was lower in non-survivors (p = 0.031) and differed over time (p = 0.049), decreasing by 48% compared to initial values in non-survivors. Conclusions: Our data suggest the importance of considering NIS among the common ECMO eligibility criteria and changes in lung compliance during ECMO as a prognostic marker.

Assessing the impact of long-term inhaled corticosteroid therapy on patients with COVID-19 and coexisting chronic lung disease: A multicenter retrospective cohort study

Background

Patients with chronic lung disease (CLD), such as asthma or chronic obstructive pulmonary disease, were expected to have an increased risk of clinical manifestations and severity of COVID-19. However, these comorbidities have been reported less frequently than expected. Chronic treatment with inhaled corticosteroids (ICS) may impact the clinical course of COVID-19. The main objective of this study is to know the influence of chronic treatment with ICS on the prognosis of COVID-19 hospitalized patients with CLD.

Methods

A multicenter retrospective cohort study was designed, including patients hospitalized with COVID-19. Epidemiological and clinical data were collected at admission and at seven days, and clinical outcomes were collected. Patients with CLD with and without chronic treatment with ICS were compared.

Results

Two thousand five hundred ninety-eight patients were included, of which 1,171 patients had a diagnosis of asthma and 1,427 of COPD (53.37% and 41.41% with ICS, respectively). No differences were found in mortality, transfer to ICU, or development of moderate-severe ARDS. Patients with chronic ICS had a longer hospital stay in both asthma and COPD patients (9 vs. 8 days, p = 0.031 in asthma patients), (11 vs. 9 days, p = 0.018 in COPD patients); although they also had more comorbidity burden.

Conclusions

Patients with chronic inhaled corticosteroids had longer hospital stays and more chronic comorbidities, measured by the Charlson comorbidity index, but they did not have more severe disease at admission, evaluated with qSOFA and PSI scores. Chronic treatment with inhaled corticosteroids had no influence on the prognosis of patients with chronic lung disease and COVID-19.

Predicting oxygen needs in COVID-19 patients using chest radiography multi-region radiomics

The objective is to evaluate the performance of blood test results, radiomics, and a combination of the two data types on the prediction of the 24-h oxygenation support need for the Coronavirus disease 2019 (COVID-19) patients. In this retrospective cohort study, COVID-19 patients with confirmed real-time reverse transcription-polymerase chain reaction assay (RT-PCR) test results between February 2020 and August 2021 were investigated. Initial blood cell counts, chest radiograph, and the status of oxygenation support used within 24 h were collected (n = 290; mean age, 45 ± 19 years; 125 men). Radiomics features from six lung zones were extracted. Logistic regression and random forest models were developed using the clinical-only, radiomics-only, and combined data. Ten repeats of fivefold cross-validation with bootstrapping were used to identify the input features and models with the highest area under the receiver operating characteristic curve (AUC). Higher AUCs were achieved when using only radiomics features compared to using only clinical features (0.94 ± 0.03 vs. 0.88 ± 0.04). The best combined model using both radiomics and clinical features achieved highest in the cross-validation (0.95 ± 0.02) and test sets (0.96 ± 0.02). In comparison, the best clinical-only model yielded AUCs of 0.88 ± 0.04 in cross-validation and 0.89 ± 0.03 in test set. Both radiomics and clinical data can be used to predict 24-h oxygenation support need for COVID-19 patients with AUC > 0.88. Moreover, the combination of both data types further improved the performance.

Intravenous Tocilizumab versus Standard of Care in the Treatment of Severe and Critical COVID-19-related Pneumonia: A Single-center, Double-blind, Placebo-controlled, Phase 3 Trial

Background

Severe and critical COVID-19 disease is characterized by hyperinflammation involving pro-inflammatory cytokines, particularly IL-6. Tocilizumab is a monoclonal antibody that blocks IL-6 receptors.

Objectives

This study evaluated the efficacy of tocilizumab in Filipino patients with severe to critical COVID-19 disease.

Methods

This phase 3 randomized double-blind trial, included patients hospitalized for severe or critical COVID-19 in a 1:1 ratio to receive either tocilizumab plus local standard of care or placebo plus standard of care. Patients were eligible for a repeat IV infusion within 24-48 hours if they deteriorated or did not improve. Treatment success or clinical improvement was defined as at least two categories of improvement from baseline in the WHO 7-point Ordinal Scale of patient status, in an intention-to-treat manner.

Results

Forty-nine (49) patients were randomized in the tocilizumab arm and 49 in the placebo arm. There was no significant difference in age, comorbidities, COVID-19 severity, need for mechanical ventilation, presence of acute respiratory distress syndrome, or biomarker levels between groups. Use of adjunctive therapy was similar between groups, with corticosteroid used in 91.8% in tocilizumab group and 81.6% in the placebo group, while remdesivir was used in 98% of participants in both groups.There was no significant difference between groups in terms of treatment success in both the intention-to-treat analysis (relative risk=1.05, 95% CI: 0.85-1.30) and per-protocol analysis (relative risk=0.98, 95% CI: 0.80 to 1.21). There was no significant difference in time to improvement of at least two categories relative to baseline on the 7-point Ordinal Scale of clinical status.

Conclusion

The use of tocilizumab on top of standard of care in the management of patients with severe to critical COVID-19 did not result in significant improvement as defined by the WHO 7-point Ordinal Scale of patient status, nor in significant improvement in incidence of mechanical ventilation, incidence of ICU admission, length of ICU stay, and mortality rate.

Potential beneficial effect of IFN-β1a and ocrelizumab in people with MS during the COVID-19 pandemic

BACKGROUND/AIM

Disease-modifying therapy (DMT) has led to added challenges in the management of people with multiple sclerosis (pwMS) during the COVID-19 era. It can reduce relapse in MS or slow down disease progression, but some DMTs can increased risk of infection. The aim of study was to evaluate risk and severity of COVID-19 in pwMS.

METHODS

The examined group of pwMS were divided in group treated with IFN-β1a, group treated with ocrelizumab and untreated group. The examination included impact of age, gender, duration of MS, type of MS, vaccination status and Expanded Disability Status Scale (EDSS) on the risk and severity of COVID-19 infection. A diagnosis of COVID-19 in pwMS was confirmed by positive polymerase-chain-reaction (PCR) or antigen test.

RESULTS

Out of 207 pwMS, 82 patients were treated with ocrelizumab, 63 with IFN-β1a, while 62 patients were untreated pwMS. The average duration of the MS was longer in the group of patients treated with ocrelizumab than in the group treated with IFN-β1a (p < 0.05). EDSS was higher in the ocrelizumab group compared to the other two groups (p < 0.001). Untreated (more often unvaccinated) had the same COVID frequency as ocrelizumab-treated (more vaccinated, but higher EDSS). The multivariate logistic regression model indicated that administration of IFN-β1a reduces the risk of COVID-19 infection (p = 0.001, OR = 0.381, 95% CI 0.602-0.160). The use of both DMTs, driven mainly by the IFN-β1a effect, reduces the risk of moderate and severe COVID-19 (p < 0.05, OR = 0.105, 95% CI 0.011-0.968).

CONCLUSION

This study provides evidence that IFN-β1a can reduce the frequency of COVID-19 infection and that two DMTs, driven mainly by the IFN-β1a effect, do not increase the risk of moderate/severe COVID-19.

Neutrophilic Myeloid-Derived Suppressor Cells and Severity in SARS-CoV-2 Infection

BACKGROUND

While we strive to live with SARS-CoV-2, defining the immune response that leads to recovery rather than severe disease remains highly important. COVID-19 has been associated with inflammation and a profoundly suppressed immune response.

OBJECTIVE

To study myeloid-derived suppressor cells (MDSCs), which are potent immunosuppressive cells, in SARS-CoV-2 infection.

RESULTS

Patients with severe and critical COVID-19 showed higher frequencies of neutrophilic (PMN)-MDSCs than patients with moderate illness and control individuals (P = .005). Severe disease in individuals older and younger than 60 years was associated with distinct PMN-MDSC frequencies, being predominantly higher in patients of 60 years of age and younger (P = .004). However, both age groups showed comparable inflammatory markers. In our analysis for the prediction of poor outcome during hospitalization, MDSCs were not associated with increased risk of death. Still, patients older than 60 years of age (odds ratio [OR] = 5.625; P = .02) with preexisting medical conditions (OR = 2.818; P = .003) showed more severe disease and worse outcome. Among the immunological parameters, increased C-reactive protein (OR = 1.015; P = .04) and lymphopenia (OR = 5.958; P = .04) strongly identified patients with poor prognosis.

CONCLUSION

PMN-MDSCs are associated with disease severity in COVID-19; however, MDSC levels do not predict increased risk of death during hospitalization.

International Hepato-Pancreato-Billiary Association (IHPBA) registry study on COVID-19 infections in HPB surgery patients

BACKGROUND

In response to the pandemic, the International Hepato-Pancreato-Biliary Association (IHPBA) developed the IHPBA-COVID Registry to capture data on HPB surgery outcomes in COVID-positive patients prior to mass vaccination programs. The aim was to provide a tool to help members gain a better understanding of the impact of COVID-19 on patient outcomes following HPB surgery worldwide.

METHODS

An online registry updated in real time was disseminated to all IHPBA, E-AHPBA, A-HPBA and A-PHPBA members to assess the effects of the pandemic on the outcomes of HPB procedures, perioperative COVID-19 management and other aspects of surgical care.

RESULTS

One hundred twenty-five patients from 35 centres in 18 countries were included. Seventy-three (58%) patients were diagnosed with COVID-19 preoperatively. Operative mortality after pancreaticoduodenectomy and major hepatectomy was 28% and 15%, respectively, and 2.5% after cholecystectomy. Postoperative complication rates of pancreatic procedures, hepatic interventions and biliary interventions were respectively 80%, 50% and 37%. Respiratory complication rates were 37%, 31% and 10%, respectively.

CONCLUSION

This study reveals a high risk of mortality and complication after HPB surgeries in patient infected with COVID-19. The more extensive the procedure, the higher the risk. Nonetheless, an increased risk was observed across all types of interventions, suggesting that elective HPB surgery should be avoided in COVID positive patients, delaying it at distance from the viral infection.

A validated eco-friendly HPLC-FLD for analysis of the first approved antiviral remdesivir with other potential add-on therapies for COVID-19 in human plasma and pharmaceuticals

It is crucial to have a reliable and sensitive method for separating common drugs used in SARS-CoV-2 pneumonia treatment protocols for ongoing treatment and upcoming investigations. This study presents an HPLC-FLD approach to analyze three co-administered medicines - remdesivir (RDV), hydroxychloroquine sulphate (HCQ), and levofloxacin hemihydrate (LVX) - in their pure forms, pharmaceutical preparations, and spiked human plasma. The HPLC-FLD analysis was conducted using a Symmetry® C18 column (100 mm × 4.6 mm ID, 3.5 μm particle size) at 40 °C, with (A) an aqueous mixture of 0.02 M phosphate buffer and 0.2% heptane-1-sulphonic acid sodium solutions (50 : 50) adjusted to pH 3, (B) acetonitrile, and (C) methanol as the mobile phase. The injection volume was 10 μL, and the flow rate was 1.5 mL min-1. The detection was done using a multi-wavelength excitation and emission fluorescence detector, with individual optimization for each drug. The drug separation time was less than 10 minutes, and the method showed sensitive and wide linearity ranges for all medicines, with r2 values of more than 0.999. The impact of the mobile phase pH and flow rate on suitability parameters (retention time and number of theoretical plates) was studied. The method was found to be environmentally friendly based on GAPI and AGREE metrics. The validity of the method was evaluated following ICH and FDA guidelines.

COVID-19 in the intensive care unit: Unmasking the critical factors impacting patient survival

In the midst of the coronavirus disease 2019 (COVID-19) pandemic, intensive care units (ICUs) around the world have been pushed to their limits as they grapple with the effects of the severe acute respiratory syndrome coronavirus 2 virus. Identifying prognostic factors that influence mortality in COVID-19 patients admitted to the ICU could offer valuable insights for clinicians seeking to prevent disease progression. A retrospective analysis was conducted on COVID-19 patients admitted to the ICU between January and September 2020. The analysis considered patient demographics, comorbidities, neurological and non-neurological symptoms, as well as laboratory markers. The multivariate logistic regression analysis aims to uncover associations between these factors and patient outcomes. Of the 387 patients included in this study, nearly half (48.5%) of the ICU patients succumbed to COVID-19. Factors that contributed to increased mortality included being 60 years of age or older, impaired consciousness, lung disease, elevated international normalized ratio (INR), and elevated blood urea nitrogen (BUN) levels. Surprisingly, symptoms such as dizziness/lightheadedness, myalgia, and headache were associated with a higher likelihood of survival. In addition, elevated D-dimer and aspartate aminotransferase (AST) levels, as well as lymphopenia, were more commonly observed in deceased patients. The study concluded that those who died in the ICU tended to be older, white, and burdened with more comorbidities and impaired consciousness. With the intriguing link between specific symptoms and survival, further research is essential to uncover the underlying pathophysiological mechanisms that influence ICU patient outcomes in the context of COVID-19.

High-Flow Nasal Oxygen for Severe COVID-19 Pneumonia in Greek Patients: A Prospective Observational Study

INTRODUCTION

High-flow nasal oxygen (HFNO) and prone positioning may improve outcomes of coronavirus disease 2019 (COVID-19) patients treated in the intensive care unit (ICU). The aim of this study was to describe outcomes following the timely application of HFNO and prone positioning in COVID-19 patients treated in a ward setting.

METHODS

The study included 89 prospectively recruited subjects at the COVID-19 ward unit of the University Hospital of Heraklion, Greece, between March and December 2020.

RESULTS

Seventy-four (83%) of the 89 subjects in the study had severe COVID-19. Of those, 33 (45%) required HFNO treatment and prone positioning and 15 (45%) were transferred to the ICU, with 4 of them being intubated. Severe COVID-19 and HFNO needs were associated with an increased pneumonia severity index (PSI) score on admission and a worse PaO2/FiO2 ratio. In multivariate analysis, PSI was the only independent predictor of subsequent HFNO needs (OR=1.022). Overall intubation and mortality rates were 5.6% and 3.4%, respectively.

CONCLUSION

This study shows that for patients with severe COVID-19 hospitalized in medical wards, standard COVID-19 treatment, along with the timely utilization of HFNO and prone positioning, resulted in excellent outcomes with fewer ICU admission rates.

Identification of genetic loci jointly influencing COVID-19 and coronary heart diseases

BACKGROUND

Comorbidities of coronavirus disease 2019 (COVID-19)/coronary heart disease (CHD) pose great threats to disease outcomes, yet little is known about their shared pathology. The study aimed to examine whether comorbidities of COVID-19/CHD involved shared genetic pathology, as well as to clarify the shared genetic variants predisposing risks common to COVID-19 severity and CHD risks.

METHODS

By leveraging publicly available summary statistics, we assessed the genetically determined causality between COVID-19 and CHD with bidirectional Mendelian randomization. To further quantify the causality contributed by shared genetic variants, we interrogated their genetic correlation with the linkage disequilibrium score regression method. Bayesian colocalization analysis coupled with conditional/conjunctional false discovery rate analysis was applied to decipher the shared causal single nucleotide polymorphisms (SNPs).

FINDINGS

Briefly, we observed that the incident CHD risks post COVID-19 infection were partially determined by shared genetic variants. The shared genetic variants contributed to the causality at a proportion of 0.18 (95% CI 0.18-0.19) to 0.23 (95% CI 0.23-0.24). The SNP (rs10490770) located near LZTFL1 suggested direct causality (SNPs → COVID-19 → CHD), and SNPs in ABO (rs579459, rs495828), ILRUN(rs2744961), and CACFD1(rs4962153, rs3094379) may simultaneously influence COVID-19 severity and CHD risks.

INTERPRETATION

Five SNPs located near LZTFL1 (rs10490770), ABO (rs579459, rs495828), ILRUN (rs2744961), and CACFD1 (rs4962153, rs3094379) may simultaneously influence their risks. The current study suggested that there may be shared mechanisms predisposing to both COVID-19 severity and CHD risks. Genetic predisposition to COVID-19 is a causal risk factor for CHD, supporting that reducing the COVID-19 infection risk or alleviating COVID-19 severity among those with specific genotypes might reduce their subsequent CHD adverse outcomes. Meanwhile, the shared genetic variants identified may be of clinical implications for identifying the target population who are more vulnerable to adverse CHD outcomes post COVID-19 and may also advance treatments of 'Long COVID-19.'

A Cross-Sectional Survey of Knowledge, Attitude, and Practices Regarding Influenza Vaccination Among Jordanians Aged 18-64 Years with Chronic Diseases

Objectives

Influenza is a frequent infectious disease that can be prevented and is associated with significant mortality and morbidity. The most economical way to prevent influenza is through vaccination, although this method is not widely used. This study aimed to assess the seasonal influenza vaccination rates and the knowledge and attitudes of Jordanian adults with chronic illnesses toward the influenza vaccine.

Materials and Methods

A cross-sectional design was employed. A 26-item online survey was used to gather data about patients' knowledge of and attitudes toward the influenza vaccine as well as their status as influenza vaccine recipients.

Results

A total of 19% of the 564 study participants received an influenza vaccination. Most (81%) of individuals reported inconsistent vaccination uptake. The most important factor affecting vaccination is the belief that the flu is not a threat (39%) and that their doctors did not advise them about the vaccination (32%). Participants with no health insurance and those with public insurance had a lower level of vaccination than those with private insurance (p= 0.008).

Conclusion

The adult population of Jordan with chronic diseases has subpar immunization rates. What is also revealed is a blatant misunderstanding about the value of routine influenza vaccination. These findings emphasize how urgently the public needs to be made aware of the effectiveness of the influenza vaccine.

Breast Cancer Survivors and COVID-19: Prevalence and Risk of Severe Disease in a Screening Study

Background

Determining the risk of severe course coronavirus disease 2019 (COVID-19) and its related factors in survivors of common cancers such as breast cancer is important. This study has been designed to evaluate the prevalence of COVID-19 infection in breast cancer survivors and also estimate the risk of severe disease in this population.

Methods

Out of 6134 patients in the Shiraz Breast Cancer Registry (SBCR), A total of 292 patients who elapsed less than a year from their breast cancer diagnosis were excluded. We called 5842 patients. Finally, 4135 breast cancer survivors who agreed to cooperate were screened for COVID-19 symptoms by a symptom-based questionnaire in November 2020. COVID-19 in symptomatic participants was confirmed by a polymerase chain reaction (PCR) test. The clinical and paraclinical data of the COVID-19 course were collected for patients with a positive PCR test.

Results

A total of 247 (5.9%) participants had at least reported one of the COVID-19 symptoms. Also, 17% of symptomatic participants had a positive PCR test; 83.7% had mild disease, 9.5% moderate, and 16.7% had severe conditions. Chronic cardiovascular disease, hypertension, and diabetes were related to an increased risk of severe illness ( P = 0.018, P = 0.018, P = 0.002).

Conclusion

This study suggests that breast cancer intermediate and longtime survivors without other underlying diseases are considered at low risk for developing severe/critical COVID-19.

Characteristics and management of patients with SARS-CoV2 infection admitted to pediatric intensive care units: Data analysis of the Spanish national multicenter registry

INTRODUCTION

The purpose of this study is to describe the Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV2) disease characteristics and management in children admitted to the pediatric intensive care units (PICU).

METHODS

The present study was based on a national multicentric prospective registry including PICU patients with SARS-CoV2 infection or symptoms of multisystem inflammatory syndrome in children (MIS-C).

RESULTS

A total of 298 patients were admitted to 41 different Spanish PICUs. A total of 76% of them were previously healthy. The most frequent manifestation was MIS-C (69.8%). On admission, 59.4% of patients did not have respiratory distress, and only 17.4% needed conventional mechanical ventilation (MV). The need for MV was associated with age (incidence rate ratios [IRR] 1.21, p < .012), pediatric sequential organ failure assessment score (p-SOFA) Score (IRR 1.12, p = .001), and need for transfusion (IRR 4.5, p < .004) in MIS-C patients, and with vasoactive drug use (IRR 2.73, p = .022) and the diagnosis of acute respiratory distress syndrome (IRR 2.83, p = .018) in patients admitted for other reasons. During the first day of admission, 56% of patients met shock criteria and 50.7% needed vasoactive drugs. In MIS-C patients, their use was associated with higher p-SOFA score (IRR 1.06, p < .001) and with the diagnosis of shock (IRR 5.78, p < .001). In patients without MIS-C, it was associated with higher p-SOFA score (IRR 1.05, p = .022). The mortality rate was 3%, being lower in MIS-C patients compared to patients admitted for other reasons (0.5% vs. 9.4%, p < .001). It was also lower in previously healthy patients compared to patients with previous comorbidities (0.9% vs. 9.7%, p < .001).

CONCLUSIONS

Severe SARS-CoV2 infection is uncommon in the pediatric population. In our series, respiratory distress was rare, being MIS-C the most frequent cause of PICU admission related to SARS-CoV2. In most cases, the course of the disease was mild except in children with previous diseases.

Clinical and immunological outcomes of SARS-CoV-2 infection in patients with inborn errors of immunity receiving different brands and doses of COVID-19 vaccines

Introduction

Vaccines against severe acute respiratory syndrome-coronavirus-2 (SARS-CoV-2) provide successful control of the coronavirus-2019 (COVID-19) pandemic. The safety and immunogenicity studies are encouraging in patients with inborn errors of immunity (IEI); however, data about mortality outcomes and severe disease after vaccination still need to be fully addressed. Therefore, we aimed to determine the clinical and immunological outcomes of SARS-CoV-2 infection in patients with IEI who have received vaccination.

Materials and Methods

Eighty-eight patients with a broad range of molecular etiologies were studied; 45 experienced SARS-CoV-2 infection. Infection outcomes were analyzed in terms of genetic etiology, background clinical characteristics, and immunization history, including the type and number of doses received and the time elapsed since vaccination. In addition, anti-SARS-CoV-2 antibodies were quantified using electrochemiluminescent immunoassay.

Results

Patients were immunized using one of the three regimens: inactivated (Sinovac, Coronavac®), mRNA (BNT162b2, Comirnaty®, Pfizer-Biontech), and a combination. All three regimens induced comparable anti-SARS-CoV-2 IgG levels, with no differences in the adverse events. Among 45 patients with COVID-19, 26 received a full course of vaccination, while 19 were vaccine-naive or received incomplete dosing. No patients died due to COVID-19 infection. The fully immunized group had a lower hospitalization rate (23% vs. 31.5%) and a shorter symptomatic phase than the others. Among the fully vaccinated patients, serum IgM and E levels were significantly lower in hospitalized patients than non-hospitalized patients.

Conclusion

COVID-19 vaccines were well-tolerated by the IEI patients, and a full course of immunization was associated with lower hospitalization rates and a shorter duration of COVID-19 symptoms.

Unwinding the potentials of vitamin C in COVID-19 and other diseases: An updated review

Background: The discovery of vitamin C (ascorbic acid) is related to the ancient history of persistent research on the origins of the haemorrhagic disease scurvy. Vitamin C is an important nutrient that aids in a variety of biological and physiological processes. Scientists have been researching the function of vitamin C in the prevention and ailment of sepsis and pneumonia for decades. This has created a potential platform for applying these results to individuals suffering from severe coronavirus infection (COVID-19). Vitamin C's ability to activate and enhance the immune system makes it a promising treatment in the present COVID-19 pandemic. Vitamin C also aids in the activation of vitamin B, the production of certain neurotransmitters, and the transformation of cholesterol into bile acids. Hence, vitamin C is used for the treatment of many diseases. Aim: This review highlights the Vitamin C investigations that are performed by various researchers on patients with COVID 19 infection, the clinical studies and their observations. The authors have additionally updated information on the significance of vitamin C insufficiency, as well as its relevance and involvement in diseases such as cancer, wound healing, iron deficiency anaemia, atherosclerosis and neurodegenerative disorders. Here, we discuss them with the references. Methods: The method used in order to perform literature search was done using SciFinder, PubMed and ScienceDirect. Results: There is a potential role of vitamin C in various diseases including neurodegenerative disorders, COVID-19 and other diseases and the results are highlighted in the review with the help of clinical and preclinical data. Conclusion: More research on vitamin C and the undergoing clinical trials might prove a potential role of vitamin C in protecting the population from current COVID-19 pandemic.

Validation of telemedicine-based self-assessment of vital signs for patients with COVID-19: A pilot study

INTRODUCTION

In the ongoing COVID-19 pandemic, the development of a system that would prevent the infection of healthcare providers is in urgent demand. We sought to investigate the feasibility and validity of a telemedicine-based system in which healthcare providers remotely check the vital signs measured by patients with COVID-19.

METHODS

Patients hospitalized with confirmed or suspected COVID-19 measured and uploaded their vital signs to secure cloud storage. Additionally, the respiratory rates were monitored using a mat-type sensor placed under the bed. We assessed the time until the values became available on the Cloud and the agreements between the patient-measured vital signs and simultaneous healthcare provider measurements.

RESULTS

Between 26 May-23 September 2020, 3835 vital signs were measured and uploaded to the cloud storage by the patients (n=16, median 72 years old, 31% women). All patients successfully learned how to use these devices with a 10-minute lecture. The median time until the measurements were available on the cloud system was only 0.35 min, and 95.2% of the vital signs were available within 5 min of the measurement. The agreement between the patients' and healthcare providers' measurements was excellent for all parameters. Interclass coefficient correlations were as follows: systolic (0.92, p<0.001), diastolic blood pressure (0.86, p<0.001), heart rate (0.89, p<0.001), peripheral oxygen saturation (0.92, p<0.001), body temperature (0.83, p<0.001), and respiratory rates (0.90, p<0.001).

CONCLUSIONS

Telemedicine-based self-assessment of vital signs in patients with COVID-19 was feasible and reliable. The system will be a useful alternative to traditional vital sign measurements by healthcare providers during the COVID-19 pandemic.

Body mass index and sex differences for mortality in hospitalized COVID-19 patients: a path analysis using a brazilian national database

Previous studies have shown that associations between obesity and other comorbidities favor worse outcomes in COVID-19. However, it is not clear how these factors interrelate and whether effects on men and women differ. We conducted an observational, cross-sectional study using a national COVID-19 inpatient database. We studied differences in direct and indirect effects of obesity and comorbidities according to sex and body mass index (BMI) categories in hospitalized COVID-19 patients in Brazil using path analysis models and logistic regression. For men, path analysis showed a direct association between BMI and death and a negative correlation of death and chronic cardiovascular disease (CCD). For women, the association of BMI and death was indirect, mediated by admission to the ICU and comorbidities and association with CCD was non-significant. In the logistic regression analyses, there was a positive association between death and BMI, age, diabetes mellitus, kidney and lung diseases and ICU admission. We highlight the need to consider the distinct impact of obesity and sex on COVID-19, of monitoring of BMI and of the design for specific male-targeted approaches to manage obesity.

Systematic Mendelian randomization study of the effect of gut microbiome and plasma metabolome on severe COVID-19

Background

COVID-19 could develop severe respiratory symptoms in certain infected patients, especially in the patients with immune disorders. Gut microbiome and plasma metabolome act important immunological modulators in the human body and could contribute to the immune responses impacting the progression of COVID-19. However, the causal relationship between specific intestinal bacteria, metabolites and severe COVID-19 remains not clear.

Methods

Based on two-sample Mendelian randomization (MR) framework, the causal effects of 131 intestinal taxa and 452 plasma metabolites on severe COVID-19 were evaluated. Single nucleotide polymorphisms (SNPs) strongly associated with the abundance of intestinal taxa and the concentration of plasma metabolites had been utilized as the instrument variables to infer whether they were causal factors of severe COVID-19. In addition, mediation analysis was conducted to find the potential association between the taxon and metabolite, and further colocalization analysis had been performed to validate the causal relationships.

Results

MR analysis identified 13 taxa and 53 metabolites, which were significantly associated with severe COVID-19 as causal factors. Mediation analysis revealed 11 mediated relationships. Myo-inositol, 2-stearoylglycerophosphocholine, and alpha-glutamyltyrosine, potentially contributed to the association of Howardella and Ruminiclostridium 6 with severe COVID-19, respectively. Butyrivibrio and Ruminococcus gnavus could mediate the association of myo-inositol and N-acetylalanine, respectively. In addition, Ruminococcus torques abundance was colocalized with severe COVID-19 (PP.H4 = 0.77) and the colon expression of permeability related protein RASIP1 (PP.H4 = 0.95).

Conclusions

Our study highlights the potential causal relationships between gut microbiome, plasma metabolome and severe COVID-19, which potentially serve as clinical biomarkers for risk stratification and prognostication and benefit the mechanism mechanistic investigation of severe COVID-19.

The accuracy of artificial intelligence in predicting COVID-19 patient mortality: a systematic review and meta-analysis

BACKGROUND

The purpose of this paper was to systematically evaluate the application value of artificial intelligence in predicting mortality among COVID-19 patients.

METHODS

The PubMed, Embase, Web of Science, CNKI, Wanfang, China Biomedical Literature, and VIP databases were systematically searched from inception to October 2022 to identify studies that evaluated the predictive effects of artificial intelligence on mortality among COVID-19 patients. The retrieved literature was screened according to the inclusion and exclusion criteria. The quality of the included studies was assessed using the QUADAS-2 tools. Statistical analysis of the included studies was performed using Review Manager 5.3, Stata 16.0, and Meta-DiSc 1.4 statistical software. This meta-analysis was registered in PROSPERO (CRD42022315158).

FINDINGS

Of 2193 studies, 23 studies involving a total of 25 AI models met the inclusion criteria. Among them, 18 studies explicitly mentioned training and test sets, and 5 studies did not explicitly mention grouping. In the training set, the pooled sensitivity was 0.93 [0.87, 0.96], the pooled specificity was 0.94 [0.87, 0.97], and the area under the ROC curve was 0.98 [0.96, 0.99]. In the validation set, the pooled sensitivity was 0.84 [0.78, 0.88], the pooled specificity was 0.89 [0.85, 0.92], and the area under the ROC curve was 0.93 [1.00, 0.00]. In the subgroup analysis, the areas under the summary receiver operating characteristic (SROC) curves of the artificial intelligence models KNN, SVM, ANN, RF and XGBoost were 0.98, 0.98, 0.94, 0.92, and 0.91, respectively. The Deeks funnel plot indicated that there was no significant publication bias in this study (P > 0.05).

INTERPRETATION

Artificial intelligence models have high accuracy in predicting mortality among COVID-19 patients and have high prognostic value. Among them, the KNN, SVM, ANN, RF, XGBoost, and other models have the highest levels of accuracy.

Co-infections in critically ill adults with severe acute respiratory syndrome coronavirus 2 infection: an Italian multi-center prospective study

BACKGROUND

To date, few studies have described Hospital-acquired infections (HAIs) during COVID-19 outbreak. To examine the incidence of HAIs in critically ill adult patients with SARS-CoV-2 infection and to observe risk factors, and the impact on outcome of HAI.

METHODS

A prospective multicenter study was conducted that included adult patients with SARS-CoV-2 infection admitted to 18 Italian Intensive Care Units from September 2020 to November 2021.

RESULTS

A total of 589 patients were included. A total of 233 patients were diagnosed with at least one HAI (39.6%). The co-infection/co-colonization rate >48 hours after admission was 31.0 per 1000 person-days (95% CI 18.8-34.8). Age, length of ICU stay >7 days, obesity, type 2 diabetes mellitus, cardiovascular disease, inserted central venous catheter, intubation, APACHE II score >25, mechanical ventilation (MV) >48 hours, obesity and inserted urinary catheter are associated outcomes for infection acquisition. The overall mortality rate of patients was found to be significantly higher in patients who had acquired a HAI (RR=4.37; 95% CI 3.30-5.78; P<0.001).

CONCLUSIONS

Associated factors for HAI acquisition and mortality in ICU patients were identified and cause for revision of existing infection control policies.

Predictive value of ferritin, glucose, urea, and creatinine for COVID-19 severity and mortality in patients from Asir, Saudi Arabia

OBJECTIVES

To correlate demographics, blood groupings, and laboratory characteristics of hospitalized COVID-19 patients with disease severity and outcomes.

METHODS

This study included 294 COVID-19 patients. Data on patient age, gender, laboratory results, clinical severity, mortality, comorbidities, and blood group were obtained from medical records retrospectively.

RESULTS

High levels of ferritin (p<0.01), urea (p<0.0001), and creatinine (p<0.05) were detected in intensive care unit (ICU)-admitted patients. Ferritin (p<0.05), glucose (p<0.0001), urea (p<0.0001), and creatinine (p<0.0001) were significantly higher in non-survivor compared to survivor COVID-19 patients. Predictors for ICU admission among patients were ferritin (odd ratio [OR]=0.999, p=0.0055) and urea (OR=0.991, p=0.0001). Predictors for mortality were: age (OR=0.963, p=0.0001), ferritin (OR=0.999, p=0.0149), glucose (OR=0.993, p=0.0001), urea (OR=0.976, p=0.0001), and creatinine (OR=0.556, p=0.0001). The most reliable laboratory parameters in predicting mortality were: age (area under the curve [AUC]=0.685, p<0.0001), ferritin (AUC=0.610, p<0.05), glucose (AUC=0.681, p<0.0001), urea (AUC=0.856, p<0.0001), and creatinine (AUC=0.823, p<0.0001).

CONCLUSION

High ferritin, glucose, urea, and creatinine levels may predict poor outcomes in COVID-19 patients. These findings could help predict admissions to the ICU and mortality among such patients.

Retrospective analysis of COVID-19 among 391 hospitalized patients in the Henan province of China

This study investigated the clinical characteristics and risk factors of coronavirus disease 2019 (COVID-19) in patients in designated hospitals (Port Hospital) in the Henan province. A total of 391 COVID-19 patients with complete case information from August 6, 2021 to February 26, 2022 were selected. Logistic regression was used to analyze the differences between the clinical types, ages, and sex of the patients. Multivariate regression analysis of the severe group indicated that underlying diseases [odds ratio (OR):6.76, 95% confidence interval (CI):1.83-24.93], increased urea levels (OR: 1.41, 95% CI: 1.04-1.91), old age (OR: 1.05, 95% CI: 1.00-1.10), and increased lactic dehydrogenase (OR: 1.02, 95% CI: 1.01-1.03) levels and decreased hemoglobin (OR: 0.95, 95% CI: 0.91-1.00) levels were predictors of illness severity. Multivariate regression analysis for those > 50 years of age showed that underlying diseases (OR: 7.06, 95% CI: 2.79-17.89) and increased urea (OR: 1.91, 95% CI: 1.47-2.48), total bilirubin (OR: 1.14, 95% CI: 1.08-1.21), total protein (OR: 1.08, 95% CI: 1.00-1.17), and lactic dehydrogenase (OR: 1.01, 95% CI: 1.00-1.02) levels and decreased albumin (OR: 0.66, 95% CI: 0.58-0.76) levels were characteristics of COVID-19. Multivariate regression analysis stratified by sex showed that the characteristics of COVID-19 patients were increased white blood cell count in males (OR: 0.66, 95% CI: 0.55-0.78) as well as increased creatinine levels (OR: 0.89, 95% CI: 0.87-0.91). This retrospective analysis provides useful information to support the clinical management of patients with COVID-19.

Characteristics of re-admitted adult patients infected with severe acute respiratory syndrome Coronavirus 2 After initial hospitalization at King Salman Armed Forces Hospital, Tabuk, Saudi Arabia

OBJECTIVES

To describe the clinical characteristics and possible risk factors associated with re-hospitalization within 30 days of discharge among hospitalized adult patients with confirmed severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection.

METHODS

This is a retrospective cohort study conducted at King Salman Armed Forces Hospital (KSAFH), Tabuk, Saudi Arabia over the period between March to November 2020. The study was conducted over 237 patients who had confirmed SARS-CoV-2 and fulfilled the study inclusion criteria (at least 14 years old, with subsequently discharged alive from the hospital) were included.

RESULTS

The commonest presenting symptoms were cough, fever, and dyspnea. The most frequent reported comorbid diseases were diabetes mellitus and hypertension. Half of cases were regarded as severe cases whereas 14.8% were critical cases. The rate of readmission was 5.9%. Older patients were more likely to be readmitted compared to younger patients. Regarding clinical characteristics, critically ill patients were more likely to be readmitted than less severe cases. Patients with unilateral lung shadow in chest x-ray, and those with positive history of Intensive care unit (ICU) admission were more likely to be readmitted compared to their peers. Regarding medical history, the only factor significantly associated with readmission were history of cerebrovascular accident (CVA), as 22.2% of those with CVA history compared to only 1.5% of those without CVA history were more likely to be readmitted. Among laboratory findings, high lymphocytic count (>3 per microliter) was significantly associate with likelihood for readmission.

CONCLUSION

Readmission rate or patients hospitalization initially for Covid-19 was comparable to rates reported by most of other similar international studies. Further longitudinal larger multicentric study is warranted to have clearer image of the situation.

Reconsideration of interferon treatment for viral diseases: Lessons from SARS, MERS, and COVID-19

Periodic pandemics of coronavirus (CoV)-related pneumonia have been a major challenging issue since the outbreak of severe acute respiratory syndrome (SARS) in 2002 and Middle East respiratory syndrome (MERS) in 2012. The ongoing pandemic of CoV disease (COVID-19) poses a substantial threat to public health. As for the treatment options, only limited antiviral agents have been approved hitherto, and clinicians mainly focus on currently available drugs including the conventional antiviral interferons (IFNs). In clinical practice, IFNs, when used either alone or in combination with ribavirin and/or lopinavir/ritonavir, have shown promising outcomes, to some extent, in SARS-CoV or MERS-CoV treatment. Although the efficacy and safety of IFNs in COVID-19 treatment remain unclear, their possible use merits further evaluation. We present a review that summarizes current evidence of IFN treatment for COVID-19 and elaborates on other challenges in terms of the timing of IFN treatment initiation, treatment duration, and IFN type to be used. The review findings suggested that IFN acts by directly inhibiting viral replication and activating immune cell subsets. However, there is a lack of well-designed and controlled clinical trials providing firm evidence for the efficacy or safety of IFN therapy for CoVs. Additionally, critically ill patients with multiple immunosuppression-associated comorbidities may not benefit from IFN therapy, necessitating screening of those patients who would most benefit from IFN treatment.

Vessel-on-a-Chip: A Powerful Tool for Investigating Endothelial COVID-19 Fingerprints

Coronavirus disease (COVID-19) causes various vascular and blood-related reactions, including exacerbated responses. The role of endothelial cells in this acute response is remarkable and may remain important beyond the acute phase. As we move into a post-COVID-19 era (where most people have been or will be infected by the SARS-CoV-2 virus), it is crucial to define the vascular consequences of COVID-19, including the long-term effects on the cardiovascular system. Research is needed to determine whether chronic endothelial dysfunction following COVID-19 could lead to an increased risk of cardiovascular and thrombotic events. Endothelial dysfunction could also serve as a diagnostic and therapeutic target for post-COVID-19. This review covers these topics and examines the potential of emerging vessel-on-a-chip technology to address these needs. Vessel-on-a-chip would allow for the study of COVID-19 pathophysiology in endothelial cells, including the analysis of SARS-CoV-2 interactions with endothelial function, leukocyte recruitment, and platelet activation. "Personalization" could be implemented in the models through induced pluripotent stem cells, patient-specific characteristics, or genetic modified cells. Adaptation for massive testing under standardized protocols is now possible, so the chips could be incorporated for the personalized follow-up of the disease or its sequalae (long COVID) and for the research of new drugs against COVID-19.

Facteurs de risque de la sévérité de la COVID-19 chez des patients tunisiens aux Urgences de Sousse, Tunisie

INTRODUCTION

Despite the spread of COVID-19 in Tunisia and its impact on people, health and economy, few studies have investigated the profile of COVID-19 Tunisian patients.

AIM

Determine the epidemiological, clinical, para-clinical and therapeutic characteristics patients and identify the associated factors of severity.

METHODS

This is a retrospective study, conducted among confirmed COVID-19 patients consulting the hospital emergency department. We collected Data using from the patients' computerized files. We performed Data entry and analysis using SPSS 22.

RESULTS

We included 375 patients. The average age was 66.7±11.43 years with a sex ratio of 1.6. The most frequent comorbidities were diabetes (100%), hypertension (64.5%), and chronic heart disease (25.9%). The most frequent clinical signs were dyspnea (75.2%), asthenia (66.9%), cough (66.7%) and fever (60.3%). The most frequent biological abnormalities were biological inflammatory syndrome (96%) and elevation of troponin (69.3%). CT scans revealed lung damage in 34.1% of patients. As for treatments, 91.7% received antibiotics, 89% received corticosteroids, 89.3% received anticoagulants, and 85.1% received ventilation (42.6% non-invasive ventilation and 1.9% were intubated). Risk factors of severity were age, chronic heart disease and hypertension.

CONCLUSION

Knowing the particularities of Tunisian patients will help to install recommendations to improve the process of care and prevention.

Acute necrotic disorder of the small intestine post‐coronavirus disease‐2019 vaccination

The Pfizer‐BioNTech coronavirus disease 2019 (COVID‐19) vaccine is extensively used worldwide, and its safety has been proven. Herein, we report a case of an acute necrotic disorder in the small intestine post‐COVID‐19 vaccination. The patient developed severe abdominal pain the day after the first vaccination. Contrast‐enhanced computed tomography showed extensive ileum wall thickening and ascites. Colonoscopy revealed a ring‐shaped ulcer and stricture in the terminal ileum. Ileocecal resection was performed, and the patient did not have further episodes of a necrotic disorder in the small intestine. Although it is unknown if this event is associated with vaccination, and this occurrence also does not outweigh the efficacy and safety of the Pfizer‐BioNTech COVID‐19 vaccine, gastroenterologists need to be aware of this rare case, given its noteworthy timing.

Assessment Of COVID-19 Pandemic-Related Detrimental Impact On The Population Of Nuclear City: Two-Year Results

Background — Since the announcement of the global coronavirus infection disease (COVID-19) pandemic, the attempts to assess the pandemic-related detrimental impact are of particular interest. The methodology of assessing the overall mortality attributed to COVID-19 pandemic, unlike the use of specific indicators that are sensitive to different methods of accounting the number of infected and deaths, provides more clear understanding of the pandemic-related impact. Objective — Quantitative assessment of the pandemic-related detrimental impact caused by the novel coronavirus infection in a small nuclear city, which is relevant for evaluating the effectiveness of anti-epidemic measures. Methods and Results — The population changes in a small urban district located in the South Ural Region of the Russian Federation were retrospectively analyzed for the decade, based on the open-source demographic data. The pandemic-related detrimental impact was calculated as overall excess mortality rate, compared with the previous non-pandemic years by using the additive model of excess absolute risk. The number of absolute excess deaths, adjusted for gender, age, population size, and number of diseased, was modeled using multivariate linear regression. The pandemic-related detriment was calculated based on the number of predicted excess deaths attributed to COVID-19. The relationship between the total number of deaths and the number of COVID-19 cases was analyzed. The total predicted two-year excess of pandemic-related deaths was 557.9. The pandemic-related total excess mortality per 1,000 patients infected with SARS-Cov-2 was 50.2 (95% CI 38.4; 62.0). Conclusion — The analyses revealed significant impact of the COVID-19 pandemic on the overall excess mortality in the nuclear city population in 2020 and 2021 implemented in both direct and indirect way. The population size was a major significant risk factor confounding the overall mortality. In order to develop an effective strategy to control and prevent the consequences of a pandemic, further monitoring of the epidemic situation in a nuclear city is required.

Correlations of renal parenchymal attenuations and CT severity scores on three consecutive CTs in COVID-19 patients

Aim: We aimed to investigate the correlation between the temporal changes of computed tomography severity score (CT-SS) ​​and mean renal parenchymal attenuation (MRPA) values in consecutive chest computed topographies (CT). Material and Method: This retrospective, single-center study included 65 (≥18 years) COVID-19 patients with positive RT-PCR tests. A radiologist calculated three consecutive chest CT-SSs and measured the MPRAs on CTs from the upper half of each kidney included in the cross-section. Paired samples test and Wilcoxon signed-rank test were used to evaluate the temporal changes of mean renal parenchymal attenuation (RPA) and median CT-SS values, in three consecutive CTs. Spearman's test was used to evaluate the correlation of each RPA and CT-SS value on three consecutive CTs. Results: The study population included 65 patients with a mean age of 61.49±13.91 years. A total of 36/65 (55.4%) were male. We found a significant increase between the first and second CT-SS (p

Efficacy and safety of add-on Viola odorata L. in the treatment of COVID-19: A randomized double-blind controlled trial

ETHNOPHARMACOLOGICAL RELEVANCE

Severe Acute Respiratory Syndrome (SARS) due to the novel coronavirus has become the highest priority that threatens human health. This situation demands widespread vaccination and the innovation of new therapeutic methods. Despite drug discoveries, the need for approving new medicaments is felt because of adverse effects and lack of efficacy. Several medicinal plants including Viola odorata L. are recommended in traditional Persian medicine for alleviating respiratory infection symptoms. Recent studies showed anti-inflammatory, antioxidant, anti-asthmatic, antitussive, analgesic, and antibacterial activities of sweet violet. These enhance respiratory functions, reduce pulmonary inflammation, and decline mucous membrane edema. This study aimed to evaluate the efficacy of sweet violet syrup in alleviating the manifestations of COVID-19 infection.

MATERIAL AND METHODS

A randomized parallel-group double-blind controlled trial was conducted at Al-Zahra general hospital, Isfahan, Iran. A total of 108 outpatients were enrolled in the study. The patients were randomly allocated to intervention and placebo groups, with 54 patients in each group. The allocation was concealed using sealed opaque envelopes. The intervention group received violet syrup and the control group received placebo syrup, an add-on to the conventional treatment. The outcomes were COVID-19 manifestations, such as dyspnea, cough, myalgia, headache, and diarrhea, considered as outcomes of the study and were evaluated twice using a visual analog scale before the intervention and after 7 days, at the end of the study. Patients were followed daily by phone calls to monitor proper drug consumption and possible side effects.

RESULTS

No significant difference was between groups regarding demographic characteristics and vital signs before and after the treatment. Although all symptoms have improved significantly in both groups, patients who received violet syrup recovered faster and the mean severity scores of cough (P = 0.025), myalgia (P = 0.036), headache (P = 0.037), and diarrhea (P = 0.044) decreased greater in comparison to control group.

CONCLUSION

This study, the first clinical trial on the effectiveness of Viola odorata on SARS-CoV-2 patients, showed that Viola odorata L. effectively controls prevalent manifestations of COVID-19 including cough, myalgia, headache, and diarrhea. Regarding this survey, the violet syrup can be mentioned as a complementary treatment for viral influenza-like infections in which cough, myalgia, headache, and diarrhea are prominent.

When should a longer needle be used for intramuscular injection in obese patients? A combined analysis of New Zealand data

AIM

To estimate thresholds for Body Mass Index (BMI) and arm circumference above which a longer needle is needed to ensure intramuscular (IM) delivery of a vaccine in the deltoid muscle at the site recommended by New Zealand (NZ) immunization guidelines.

METHODS

A combined analysis of two studies, including 442 adults, with measurements of arm circumference, BMI and skin to deltoid muscle distance (SDMD) at the NZ immunization guideline-recommended IM injection site. Receiver Operator Characteristic curves identified arm circumference and BMI cut-points that gave 100% sensitivity for SDMD thresholds. These thresholds were: SDMD of 20 mm, accounting for a minimal penetration of 5 mm into muscle with the standard needle; and 25 mm, which is the length of a standard needle for IM injection, representing the depth this can reach.

RESULTS

Cut-point values for arm circumference, at which a longer needle would be required, were higher for males than females: 35 cm versus 30 cm for the 20 mm cut-point, and 40 cm versus 36.7 cm for the 25 mm cut-point respectively. The BMI cut-points were also higher for male than females: 24.6 kg/m² versus 23.7 kg/m² for the 20 mm cut-point, and 38.2 kg/m² vs 31.6 kg/m² for the 25 mm cut-point respectively.

CONCLUSION

Arm circumference and BMI cut-points provide practical measures from which to choose a needle length that increases the chance of successful IM vaccination. Based on our data, an arm circumference of 35 cm for men and 30 cm for women should prompt selection of a longer needle to ensure intramuscular injection at the deltoid site. Thresholds for the different skin to deltoid sites proposed internationally should be determined to enable successful IM vaccination in clinical practice beyond NZ.

Death Anxiety During COVID-19 and its Related Factors among Chinese Elderly People

This study aimed at investigating death anxiety and its related factors in Chinese elderly people during COVID-19. This study totally interviewed 264 participants from four cities in different regions of China. Death anxiety scale (DAS), NEO-Five-Factor Inventory (Neo-FFI) and Brief COPE were scored on the basis of one-on-one interviews. Quarantine experience didn't make significant difference in death anxiety among the elderly; Elderly people with high death anxiety had higher scores of neuroticism, and were more likely to use a Behavior Disengagement coping strategy; Multiple linear regression analysis showed that neuroticism, openness and COVID impact predicted 44.6% of the variance in the death anxiety among elderly people. The results support both theories of vulnerability-stress model and terror management theory (TMT). In the post-epidemic era, we suggest to pay attention to the mental health status of elderly people with personality susceptibility to handling the stress of infection badly.

Along party Lines: Examining the gubernatorial party difference in COVID-19 mortality rates in U.S. Counties

Drawing upon the literatures on risk factors for COVID-19 and the roles of political party and political partisanship in COVID-19 policies and outcomes, this study quantifies the extent to which differences in Republican- and Democrat-governed counties' observable characteristics explain the Republican - Democrat gap in COVID-19 mortality rate in the United States. We analyze the county COVID-19 mortality rate between February 1 and December 31, 2020 and employ the Blinder-Oaxaca decomposition method. We estimate the extent to which differences in county characteristics - demographic, socioeconomic, employment, health status, healthcare access, area geography, and Republican vote share, explain the difference in COVID-19 mortality rates in counties governed by Republican vs Democrat governors. Among 3,114 counties, Republican-governed counties had significantly higher COVID-19 mortality than did Democrat-governed counties (127 ± 86 vs 97 ± 80 per 100,000 population, p < 0.001). Results are sensitive to which weights are used: of the total gap of 30.3 deaths per 100,000 population, 12.8 to 20.5 deaths, or 42.2-67.7 %, are explained by differences in observable characteristics of Republican- and Democratic-governed counties. Difference in support for President Trump between Republican- and Democrat-governed counties explains 25 % of the additional deaths in Republican counties. Policies aimed at improving population health and lowering racial disparity in COVID-19 outcomes may also be correlated with reducing the partisan gap in COVID-19 mortality.

Association of COVID-19 with endocarditis in patients with cocaine or opioid use disorders in the US

The incidence of endocarditis in the US is increasing, driven in part by the rise in intravenous drug use, mostly opioids and stimulant drugs (cocaine and methamphetamine). Recent reports have documented that individuals with COVID-19 are at increased risk for cardiovascular diseases. However, it is unknown whether COVID-19 is associated with increased risk for endocarditis in patients with opioid or stimulant use disorders. This is a retrospective cohort study based on a nationwide database of electronic health records (EHRs) of 109 million patients in the US, including 736,502 patients with a diagnosis of opioid use disorder (OUD) and 379,623 patients with a diagnosis of cocaine use disorder (CocaineUD). Since Metamphetamine use disorder is not coded we could not analyze it. We show that the incidence rate of endocarditis among patients with OUD or CocaineUD significantly increased from 2011 to 2022 with acceleration during 2021-2022. COVID-19 was associated with increased risk of new diagnosis of endocarditis among patients with OUD (HR: 2.23, 95% CI: 1.92-2.60) and with CocaineUD (HR: 2.24, 95% CI: 1.79-2.80). Clinically diagnosed COVID-19 was associated with higher risk of endocarditis than lab-test confirmed COVID-19 without clinical diagnosis. Hospitalization within 2 weeks following COVID-19 infection was associated with increased risk of new diagnosis of endocarditis. The risk for endocarditis did not differ between patients with and without EHR-recorded vaccination. There were significant racial and ethnic differences in the risk for COVID-19 associated endocarditis, lower in blacks than in whites and lower in Hispanics than in non-Hispanics. Among patients with OUD or CocaineUD, the 180-day hospitalization risk following endocarditis was 67.5% in patients with COVID-19, compared to 58.7% in matched patients without COVID-19 (HR: 1.21, 95% CI: 1.07-1.35). The 180-day mortality risk following the new diagnosis of endocarditis was 9.2% in patients with COVID-19, compared to 8.0% in matched patients without COVID-19 (HR: 1.16, 95% CI: 0.83-1.61). This study shows that COVID-19 is associated with significantly increased risk for endocarditis in patients with opioid or cocaine use disorders. These results highlight the need for endocarditis screening and for linkage to infectious disease and addiction treatment in patients with opioid or cocaine use disorders who contracted COVID-19. Future studies are needed to understand how COVID-19 damages the heart and the vascular endothelium among people who misuse opioids or cocaine (presumably also methamphetamines).

A randomized controlled trial to evaluate outcomes with Aggrenox in patients with SARS-CoV-2 infection

BACKGROUND

Coronavirus disease 2019 (COVID-19) is an immunoinflammatory and hypercoagulable state that contributes to respiratory distress, multi-organ dysfunction, and mortality. Dipyridamole, by increasing extracellular adenosine, has been postulated to be protective for COVID-19 patients through its immunosuppressive, anti-inflammatory, anti-coagulant, vasodilatory, and anti-viral actions. Likewise, low-dose aspirin has also demonstrated protective effects for COVID-19 patients. This study evaluated the effect of these two drugs formulated together as Aggrenox in hospitalized COVID-19 patients.

METHODS

In an open-label, single site randomized controlled trial (RCT), hospitalized COVID-19 patients were assigned to adjunctive Aggrenox (Dipyridamole ER 200mg/ Aspirin 25mg orally/enterally) with standard of care treatment compared to standard of care treatment alone. Primary endpoint was illness severity according to changes on the eight-point COVID ordinal scale, with levels of 1 to 8 where higher scores represent worse illness. Secondary endpoints included all-cause mortality and respiratory failure. Outcomes were measured through days 14, 28, and/or hospital discharge.

RESULTS

From October 1, 2020 to April 30, 2021, a total of 98 patients, who had a median [IQR] age of 57 [47, 62] years and were 53.1% (n = 52) female, were randomized equally between study groups (n = 49 Aggrenox plus standard of care versus n = 49 standard of care alone). No clinically significant differences were found between those who received adjunctive Aggrenox and the control group in terms of illness severity (COVID ordinal scale) at days 14 and 28. The overall mortality through day 28 was 6.1% (3 patients, n = 49) in the Aggrenox group and 10.2% (5 patients, n = 49) in the control group (OR [95% CI]: 0.40 [0.04, 4.01], p = 0.44). Respiratory failure through day 28 occurred in 4 (8.3%, n = 48) patients in the Aggrenox group and 7 (14.6%, n = 48) patients in the standard of care group (OR [95% CI]: 0.21 [0.02, 2.56], p = 0.22). A larger decrease in the platelet count and blood glucose levels, and larger increase in creatinine and sodium levels within the first 7 days of hospital admission were each independent predictors of 28-day mortality (p < 0.05).

CONCLUSION

In this study of hospitalized patients with COVID-19, while the outcomes of COVID illness severity, odds of mortality, and chance of respiratory failure were better in the Aggrenox group compared to standard of care alone, the data did not reach statistical significance to support the standard use of adjuvant Aggrenox in such patients.

Neighborhood Condition Prevalence Rates Correlate With COVID-19 Mortality in Milwaukee County, Wisconsin

Purpose

We sought to determine if census tract-level (ie, neighborhood) COVID-19 death rates in Milwaukee County correlated with the census tract-level condition prevalence rates (CPRs) for individual COVID-19 mortality risk.

Methods

This study used Milwaukee County-reported COVID-19 death rates per 100,000 lives for the 296 census tracts within the county to perform a linear regression with individual COVID-19 mortality risk CPR, mean age, racial composition of census tract (by percentage of non-White residents), and poverty (by percentage within census tract), followed by multiple regression with all 7 CPRs as well as the 7 CPRs combined with the additional demographic variables. CPR estimates were accessed from the Centers for Disease Control and Prevention 500 Cities Project. Demographics were accessed from the U.S. Census. The Milwaukee County Medical Examiner's office identified 898 deaths from COVID-19 in Milwaukee County from March 2020 to June 2021.

Results

Among the variables included, crude death rate demonstrated a statistically significant association with the 7 COVID-19 mortality risk CPRs (as analyzed collectively), census tract mean age, and several of the CPRs individually. The addition of census tract age, race, and poverty in multiple regression did not improve the association of the 7 CPRs with crude death rate.

Conclusions

Results from this population-level study indicated that census tracts with high COVID-19 mortality correlated with high-risk condition prevalence estimates within those census tracts, illustrating how health data collection and analysis at a census tract level could be helpful when planning pandemic-mitigating public health efforts.

Mortality Prediction of COVID-19 in Hospitalized Patients Using the 2020 Diagnosis Procedure Combination Administrative Database of Japan

Objectives Numerous people have died from coronavirus disease 2019 (COVID-19) infection. Identifying crucial predictive biomarkers of disease mortality is critical to support decision-making and logistic planning in healthcare systems. This study investigated the association between mortality and medical factors and prescription records in 2020 in Japan, where COVID-19 prevalence and mortality remain relatively low. Methods This retrospective cohort study analyzed anonymous administrative data from the Diagnosis Procedure Combination (DPC) database in Japan. Results A total of 22,795 patients were treated in DPC hospitals in 2020 in Japan, and of these, 5,980 patients over 50 years old were hospitalized, with 299 (5.0%) dying. There were 2,399 severe patients among 11,440 total hospitalized patients (all ages). The results of a logistic model analysis revealed that an older age, male sex, Parkinson's disease, cerebrovascular diseases, and chronic kidney diseases were risk factors for mortality. A machine learning analysis identified an older age, male sex (mortality), pneumonia, drugs for acid-related disorders, analgesics, anesthesia, upper respiratory tract disease, drugs for functional gastrointestinal disorders, drugs for obstructive airway diseases, topical products for joint and muscular pain, diabetes, lipid-modifying agents, calcium channel blockers, drugs for diabetes, and agents acting on the renin-angiotensin system as risk factors for a severe status. Conclusions This COVID-19 mortality risk tool is a well-calibrated and accurate model for predicting mortality risk among hospitalized patients with COVID-19 in Japan, which is characterized by a relatively low COVID-19 prevalence, aging society, and high population density. This COVID-19 mortality prediction model can assist in resource utilization and patient and caregiver education and be useful as a risk stratification instrument for future research trials.

Telemedicine: An Effective Tool for Patient-Physician Communication

The purpose of this study was to evaluate the effectiveness of telemedicine appointments in a tertiary orthopedic hip clinic during the COVID-19 pandemic, as a substitute for traditional in-person visits. One hundred sixty-three patients had a telemedicine visit from March to September 2020. Patients were divided into two cohorts. The presurgical group included all patients who had not undergone any prior surgical hip procedures. The pre-surgical group was further subdivided into two groups based on the purpose of the visit: conservative treatment and imaging review. Patients who were indicated for surgical treatment from these two groups were identified to assess their compliance with the surgical indication. The effectiveness was measured by assessing whether patients required an in-person visit before the scheduled follow-up after the telemedicine visit for further medical assessment. Fifty (30.7%) men and 113 (69.3%) women had a telemedicine visit during the 6-month period. The mean age was 43.68 (±16.95) years. There were 92 (56.4%) patients in the presurgical group, of whom 41% followed up after indication for conservative treatment and 59% visited to review imaging. From these groups, 27% were indicated for surgical treatment. The postsurgical group contained 71 (43.6%) patients, divided into three groups based on their surgery date: 0 to 3 months (27%), 4 to 12 months (59%), and more than 12 months (14%). All patients were compliant with the scheduled follow-up after their telemedicine visit. This study showed that telemedicine can be an effective tool for patient-physician communication, obviating the need for subsequent follow-up beyond regularly scheduled visits. [Orthopedics. 20XX;XX(X):xx-xx.].

Detection of Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) RNA in the Human Eye

PURPOSE

To determine the presence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA in postmortem ocular specimens of patients with severe COVID-19 disease.

PATIENTS AND METHODS

Postmortem conjunctival (28 samples), aqueous humor (30 samples) and vitreous humor (30 samples) specimens were obtained bilaterally from the eyes of 15 deceased COVID-19 patients within one hour of death. The presence of viral RNA was evaluated in samples using Real-time reverse transcriptase-polymerase chain reaction (RT-PCR).

RESULTS

Positive RT-PCR SARS-COV-2 results were found in one conjunctival and 2 vitreous humor samples. All aqueous humor samples tested negative for the presence of SARS-COV-2 RNA. Of note, three positive samples were obtained from three different patients. The overall prevalence of positive RT-PCR ocular samples was 3.4% among all samples and 20% at the patient level.

CONCLUSION

SARS-CoV-2 RNA is detectable in postmortem conjunctival and vitreous humor samples of patients with severe COVID-19.

ADDITIONAL RISKS ARISING IN THE PROCESS OF PROVIDING MEDICAL AID TO PATIENTS WITH COVID-19

OBJECTIVE

The aim: In order to assess the degree of transforming danger, for face masks, used in the providing respiratory support process to specialized department patients with varying degrees of the COVID-19 course severity, we conducted a series of bacteriological studies into an additional opportunistic bacteria reservoir. With the purpose of assessment of the face respiratory masks inner surface bacterial contamination intensity during their use to provide respiratory support to patients with COVID-19.

PATIENTS AND METHODS

Materials and methods: A bacteriological study of the inner surface of 60 disposable individual face respiratory masks was carried out at different times of providing respiratory support to patients with COVID-19.

RESULTS

Results: It is shown that during use, the inner surface of the respiratory mask is colonized by staphylococci and gram-negative opportunistic bacteria. With increasing time of the mask using, the density of colonization of its inner surface increases.

CONCLUSION

Conclusions: In the process of long-term non-invasive lung ventilation and oxygen therapy for patients with COVID-19, the inner surface of face respiratory masks is colonized with opportunistic bacteria, which creates the risk of contamination by the latter of the pathologically changed lung parenchyma and the addition of secondary bacterial infection.

The Clinical Form of COVID-19 and the Impact on the Course and Outcome of the Disease: Experiences from Tuzla Canton, Bosnia and Herzegovina

Background

Covid-19 primarily manifests itself as a respiratory disease, but also with numerous extrapulmonary symptoms and complications. The clinical form of the disease before hospitalization, has a great influence on the further course and occurrence of complications of the disease.

Objective

To analyze the clinical and laboratory characteristics of patients with moderate and severe clinical form of the disease, the complications that developed in these patients during hospitalization and the outcome of the disease.

Methods

The retrospective study included 520 patients from the Tuzla Canton, treated in the COVID-19 Hospital at University Clinical Center Tuzla in the period from March 27 to October 1, 2020. The source of data were the medical records of hospitalized patients. The clinical and laboratory characteristics of patients with moderate and severe clinical form of the disease. and the complications that developed in these patients during hospitalization were analyzed.

Results

The number of hospitalized men was statistically significantly higher, p=0.000. Most patients were in the age group of 60-69 years: 152 (29.3%), then in the age group of 50-59 years: 119 (22.9%). Women <70 years had more often a moderate, and women >70 years more often a severe clinical form of the disease, p<0.01. Patients with hypertension, diabetes mellitus, chronic lung diseases, cardiovascular diseases, hematological diseases and tumors of solid organs, with leukopenia and lymphopenia, elevated LDH, CRP, transaminases and serum ferritin, significantly more often had a clinically severe form of the disease (p<0.01). Patients with a severe clinical form of the disease on admission to the hospital had more frequent complications and death as outcome (p<0.01).

Conclusion

Patients who were hospitalized with a severe form of COVID-19 had significantly more frequent disease complications and death as outcome.

Efficacy and Safety of Mesenchymal Stromal Cells Therapy for COVID-19 Infection: A Systematic Review and Meta-analysis

BACKGROUND

Coronavirus disease 2019 (COVID-19) is an infectious respiratory disease prevalent worldwide with a high mortality rate, and there is currently no specific medicine to treat patients.

OBJECTIVE

We aimed to assess the safety and efficacy of stem cell therapy for COVID-19 by providing references for subsequent clinical treatments and trials.

METHOD

We systematically searched PubMed, Embase, Cochrane, and Web of Science, using the following keywords: "stem cell" or "stromal cell" and "COVID-19." Controlled clinical trials published in English until 24th August 2021 were included. We followed the PRISMA guidelines and used Cochrane Collaboration's tool for assessing the risk of bias. We analysed the data using a fixed-effect model.

RESULTS

We identified 1779 studies, out of which eight were eligible and included in this study. Eight relevant studies consisted of 156 patients treated with stem cells and 144 controls (300 individuals in total). There were no SAEs associated with stem cell therapy in all six studies, and no significant differences in AEs (p = 0.09, I² = 40%, OR = 0.53, 95% CI: 0.26 to 1.09) between the experimental group and control group were observed. Moreover, the meta-analysis found that stem cell therapy effectively reduced the high mortality rate of COVID-19 (14/156 vs. 43/144; p<0.0001, I2 = 0%, OR=0.18, 95% CI: 0.08 to 0.41).

CONCLUSION

This study suggests that MSCs therapy for COVID-19 has shown some promising results in safety and efficacy. It effectively reduces the high mortality rate of COVID-19 and does not increase the incidence of adverse events.

Satisfaction and Experience of Women with Breast Cancer Screening Services in Riyadh, Saudi Arabia

Background

Satisfaction of women with breast cancer screening programs is important to ensure the program effectiveness.

Objective

To assess the experience and satisfaction of women with breast cancer screening services.

Methods

This was a descriptive study targeting 312 women undergoing mammography screening in Riyadh Region in Saudi Arabia. The data were collected through telephone interviews using a structured questionnaire covering eight domains. Weighted means were calculated by dividing the average scores for each item and domain by their maximum scores. Multiple regression was performed to identify the factors related to general satisfaction.

Results

Overall satisfaction weighted mean was 0.879. Experiences were best for physical surroundings and perceived competency of staff domains with weighted means of 0.929 and 0.914 respectively. Accessibility and waiting time, and staff interpersonal skills domains came next with weighted means of 0.901 and 0.876 respectively. Information transfer, physical discomfort and psychological discomfort domains came last with weighted means of 0.783, 0.736 and 0.673 respectively. General satisfaction was related to waiting time and access domain (Exp(B) =.709 (95% CI: .595-.843, p value: .000), staff interpersonal skills domain (Exp(B) = .815 (95% CI: .686- .968, p value: .020) and perceived competency of the staff domain (Exp(B) = .660 (95% CI: .458- .951, p value: .026).

Conclusions

Overall satisfaction with breast cancer screening was high and the experience of women was highly positive for most of the domains. More efforts are needed to improve the information transfer by addressing the language barriers and to enhance the physical and psychological experiences.

Selective IgA Deficiency May Be an Underrecognized Risk Factor for Severe COVID-19

SARS-CoV-2, the agent responsible for COVID-19, has wreaked havoc around the globe. Hundreds of millions of individuals have been infected and well over six million have died from COVID-19. Many COVID-19 survivors have ongoing physical and psychiatric morbidity, which will remain for the rest of their lives. Early in the pandemic, it became apparent that older individuals and those with comorbidities including obesity, diabetes mellitus, coronary artery disease, hypertension, and renal and pulmonary disease were at increased risk of adverse outcomes. It is also clear that some immunodeficient patients, such as those with innate or T cell-immune defects, are at greater risk from COVID-19. Selective IgA deficiency (sIgAD) is generally regarded as a mild disorder in which most patients are asymptomatic because of redundancy in protective immune mechanisms. Recent data indicate that patients with sIgAD may be at high risk of severe COVID-19. SARS-CoV-2 gains entry primarily through the upper respiratory tract mucosa, where IgA has a critical protective role. This may underlie the vulnerability of sIgAD patients to adverse outcomes from COVID-19. This perspective highlights the need for ongoing research into mucosal immunity to improve COVID-19 treatments for patients with sIgAD.

What Is the Place of Intermediate Care Unit in Patients with COVID-19? A Single Center Experience

Introduction

COVID-19 pandemic has led to an increased rate of intensive care unit (ICU) stays. Intermediate care units (IMCUs) are a useful resource for the management of patients with severe COVID-19 that do not require ICU admission. In this research, we aimed to determine survival outcomes and parameters predicting mortality in patients who have been admitted to IMCU.

Materials and Methods

Patients who were admitted to IMCU between April 2019 and January 2021 were analyzed retrospectively. Sociodemographics, clinical characteristics, and blood parameters on admission were compared between the patients who died in IMCU and the others. Blood parameters at discharge were compared between survived and deceased individuals. Survival analysis was performed via Kaplan-Meier analysis. Blood parameters predicting mortality were determined by univariate and multivariate Cox regression analysis.

Results

A total of 140 patients were included within the scope of this study. The median age was 72.5 years, and 77 (55%) of them were male and 63 (45%) of them were female. A total of 37 (26.4%) patients deceased in IMCU, and 40 patients (28.5%) were transferred to ICU. Higher platelet count (HR 3.454; 95% CI 1.383-8.625; p=0.008), procalcitonin levels (HR 3.083; 95% CI 1.158-8.206; p=0.024), and lower oxygen saturation (HR 4.121; 95% CI 2.018-8.414; p < 0.001) were associated with an increased risk of mortality in IMCU. At discharge from IMCU, higher procalcitonin levels (HR 2.809; 95% CI 1.216-6.487; p=0.016), lower platelet count (HR 2.269; 95% CI 1.012-5.085; p=0.047), and noninvasive mechanic ventilation requirement (HR 2.363; 95% CI 1.201-4.651; p=0.013) were associated with an increased risk of mortality. Median OS was found as 41 days. The overall survival rate was found 40% while the IMCU survival rate was 73.6%.

Conclusions

IMCU seems to have a positive effect on survival in patients with severe COVID-19 infection. Close monitoring of these parameters and early intervention may improve survival rates and outcomes.