C-reactive protein, procalcitonin, D-dimer, and ferritin in severe coronavirus disease-2019: a meta-analysis

Is Mean Platelet Volume a Predictive Marker for the Development of Thrombosis in Patients with COVID-19 Infection?

Mean platelet volume (MPV) can provide important information about the course and prognosis of many diseases. MPV is an early indicator of platelet activation, which has an important role in the pathogenesis of thrombosis. In this study, we aimed to investigate whether MPV was a predictive marker for the development of thrombosis in hospitalized patients with COVID-19 infection. Fifty-seven patients whose courses were followed after the diagnosis of COVID-19 infection using a polymerase chain reaction test during the pandemic were included in the study. Our results demonstrated that there was a negative correlation between platelet count and MPV (r=0.470, p≤ 0.01), and there was a positive correlation between Platelet Distribution Width (PDW) and MPV (r=0,933, p≤ 0.01), but no significant correlation was found between the other variables and MPV.

Liver Iron Overload Drives COVID-19 Mortality: a Two-Sample Mendelian Randomization Study

Iron overload has been associated with an increased risk of COVID-19 severity and mortality in observational studies, but it remains unclear whether these associations represent causal effects. We performed a two-sample Mendelian randomization (MR) to determine associations between genetic liability to iron overload and the risk of COVID-19 severity and mortality. From genome-wide association studies of European ancestry, single-nucleotide polymorphisms associated with liver iron (n = 32,858) and ferritin (n = 23,986) were selected as exposure instruments, and summary statistics of the hospitalization (n = 16,551) and mortality (n = 15,815) of COVID-19 were utilized as the outcome. We used the inverse-variance weighted (IVW) method as the primary analysis to estimate causal effects, and other alternative approaches as well as comprehensive sensitivity analysis were conducted for estimating the robustness of identified associations. Genetically predicted high liver iron levels were associated with an increased risk of COVID-19 mortality based on the results of IVW analysis (OR = 1.38, 95% CI: 1.05-1.82, P = 0.02). Likewise, sensitivity analyses showed consistent and robust results in general (all P > 0.05). A higher risk of COVID-19 hospitalization trend was also observed in patients with high liver iron levels without statistical significance. This study suggests that COVID-19 mortality might be partially driven by the iron accumulation in the liver, supporting the classification of iron overload as one of the independent death risk factors. Therefore, avoiding iron overload and maintaining normal iron levels may be a powerful measure to reduce COVID-19 mortality.

Coagulation and Inflammation in COVID-19: Reciprocal Relationship between Inflammatory and Coagulation Markers

The coronavirus disease 2019 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), formerly known as 2019-nCoV. Numerous cellular and biochemical issues arise after COVID-19 infection. The severe inflammation that is caused by a number of cytokines appears to be one of the key hallmarks of COVID-19. Additionally, people with severe COVID-19 have coagulopathy and fulminant thrombotic events. We briefly reviewed the COVID-19 disease at the beginning of this paper. The inflammation and coagulation markers and their alterations in COVID-19 illness are briefly discussed in the parts that follow. Next, we talked about NETosis, which is a crucial relationship between coagulation and inflammation. In the end, we mentioned the two-way relationship between inflammation and coagulation, as well as the factors involved in it. We suggest that inflammation and coagulation are integrated systems in COVID-19 that act on each other in such a way that not only inflammation can activate coagulation but also coagulation can activate inflammation.

A closer look at the link between cycle threshold, clinical features and biomarkers: An observational study in COVID-19 patients

Background

Symptoms for severe acute respiratory syndrome-related coronavirus 2 (SARS-CoV-2) appear 2-3 days after exposure to the virus. Being a virus, detection is primarily by polymerase chain reaction as this offers superior sensitivity and specificity. There was a misconception that patients with low cycle threshold (Ct) have severe coronavirus disease (COVID), and for individuals with higher Ct, it is the other way around. The prognosis for COVID was derived from various biomarkers and physicians heavily relied on them.

Materials and Methods

A cross-sectional study spanning a duration of 2 years was conducted at a tertiary care centre in western India. A total of 201 individuals were included and the correlation between Ct, clinical features and biomarkers was studied.

Results

In the E-gene, 43.28% had lower Ct values and 40.79% had low Ct values in the RdRp gene. 50% of all patients had diabetes, with 60% being between the ages of 61 and 80. 54.1% of hypertension patients belonged to ages between 61 and 80. 90.54% of COVID-positive individuals had lactose dehydrogenase levels ranging from 440 to 760. 79% of patients had a procalcitonin value of more than one but less than six. 79.1% of patients had an erythrocyte sedimentation rate between 36 and 90.

Conclusion

Ct value though has a research value; it is a poor prognostic marker when compared to the various biomarkers that have been studied earlier. We cannot conclusively state that all our findings are accurate due to a lack of data but further research into the prognostic value of Ct should be conducted which will help in the ongoing scenario.

Sysmex-derived COVID-19 prognostic score as an early prognostic marker for severity of the COVID-19 disease

BACKGROUND

Coronavirus disease 2019 (COVID-19) is a life-threatening disease with a heterogeneous course. Even some young patients are at increased risk of severe course or death, as they can face severe complications. It would be very useful to have a cheap and easily available marker to predict COVID-19 course in the early stages of the disease. The COVID-19 prognostic score could be a very useful clinical indicator available at the time of primary contact with the patient.

METHODS

The COVID-19 prognostic score and the clinical condition together with selected laboratory parameters were evaluated in patients with respiratory tract infection and a positive PCR test for the SARS-CoV-2 during the first contact with the patient. Prognostic significance was evaluated using receiver operating characteristic curves (ROC) and area under the curve (AUC). Selected parameters of the blood count and hemostasis, as well as selected biochemical indicators, were examined too.

RESULTS

Thirty-seven of 164 patients developed serious symptoms. The COVID-19 score had one of the highest AUC values (0.855) of all markers. The highest combination of sensitivity (91.9%) and specificity (71.7%) for identifying patients with a subsequent moderate and severe course of the disease was achieved at the threshold 1.5. The predictive value of a negative test is beneficial too (0.968).

CONCLUSIONS

The COVID-19 prognostic score is a promising indicator stratifying patients with COVID-19 into prognostic groups at the time of the first contact, thus allowing the timely provision of increased care in patients at high risk of severe development.

Risk factors for acute kidney injury in patients hospitalized with COVID-19

INTRODUCTION

Acute kidney injury (AKI) occurs frequently in COVID-19 patients and is associated with greater morbidity and mortality. Knowing the risks of AKI allows for identification, prevention, and timely treatment. This study aimed to identify the risk factors associated with AKI in hospitalized patients.

METHODS

A descriptive, retrospective, cross-sectional, and analytical component study of adult patients hospitalized with COVID-19 from March 1 to December 31, 2020 was carried out. AKI was defined by the creatinine criteria of the KDIGO-AKI guidelines. Information, regarding risk factors, was obtained from electronic medical records.

RESULTS

Out of the 934 patients, 42.93% developed AKI, 60.59% KDIGO-1, and 9.9% required renal replacement therapy. Patients with AKI had longer hospital stay, higher mortality, and required more intensive care unit (ICU) admission, mechanical ventilation, and vasopressor support. Multivariate analysis showed that age (OR 1.03; 95% CI 1.02-1.04), male sex (OR 2.13; 95% CI 1.49-3.04), diabetes mellitus (DM) (OR 1.55; 95% CI 1.04-2.32), chronic kidney disease (CKD) (OR 2.07; 95% CI 1.06-4.04), C-reactive protein (CRP) (OR 1.02; 95% CI 1.00-1.03), ICU admission (OR 1.81; 95% CI 1.04-3.16), and vasopressor support (OR 7.46; 95% CI 3.34-16.64) were risk factors for AKI, and that bicarbonate (OR 0.89; 95% CI 0.84-0.94) and partial pressure arterial oxygen/inspired oxygen fraction index (OR 0.99; 95% CI 0.98-0.99) could be protective factors.

CONCLUSIONS

A high frequency of AKI was documented in COVID-19 patients, with several predictors: age, male sex, DM, CKD, CRP, ICU admission, and vasopressor support. AKI occurred more frequently in patients with higher disease severity and was associated with higher mortality and worse outcomes.

Safety and efficacy of antithrombotics in outpatients with symptomatic COVID-19: A systematic review and meta-analysis

BACKGROUND

Coronavirus disease (COVID-19) is a global health emergency, with well over six hundred million infections and over six million deaths to date. Besides other ramifications, it is also associated with inflammation and an augmented risk of thromboembolic complications. Despite this, the risks and benefits of antithrombotic drugs in patients with mild to moderate COVID-19 have not been well-established and remain controversial.

OBJECTIVES

To evaluate the safety and efficacy of antithrombotic drugs on mild to moderate symptomatic COVID-19 patients by performing an updated systematic review and meta-analysis.

METHODS

We queried electronic databases (PubMed, Cochrane Central, Scopus, and Embase) from their inception up to September 2022 for randomized controlled trials comparing antithrombotic drugs against placebo. The outcomes of interest were the need for hospital care, mortality, and thromboembolic events in the enrolled participants. Dichotomous outcomes were presented as risk ratio (RR) with 95 % confidence intervals (CIs) and were consolidated using random-effects model.

MAIN RESULTS

Five eligible studies (Rivaroxaban/Apixaban, two; enoxaparin, two; Sulodexide, one), consisting of 2,005 participants with mild to moderate COVID-19, were included. Pooled results show that antithrombotics, when compared to placebo, do not significantly reduce all-cause mortality (RR 0.51, 95 % CI 0.15-1.68; P = 0.27; I2 = 0), thromboembolic events (RR 0.78, 95 % CI 0.17-3.51; P = 0.74; I2 = 0), need for hospitalization (RR 0.73, 95 % CI 0.51-1.03; P = 0.08; I2 = 0), nor significantly increase clinically relevant non-major bleeding events (RR 2.36, 95 % CI 0.56-9.89; P = 0.24; I2 = 0). However, when Sulodexide was compared independently to other antithrombotics, it significantly reduced the need for hospitalization (RR 0.60, 95 % CI 0.37-0.95; P = 0.03).

CONCLUSIONS

Our pooled analysis was not able to establish statistically significant benefits or risks of using antithrombotic drugs in mild to moderate COVID-19 patients. To further improve our understanding of the efficacy, safety and risk profile of such a therapy, large sample randomized clinical trials are required on a wide scale.

Predictors of in-hospital mortality in elderly unvaccinated patients during SARS-CoV-2 Alpha variants epidemic

Background

COVID-19, caused by SARS-CoV-2, has caused a global pandemic. This study aimed to identify predictors of in-hospital mortality in unvaccinated elderly patients with COVID-19 by comparing various predictive factors between the survivors and non-survivors.

Methods

We retrospectively selected 132 unvaccinated patients aged over 65 years with COVID-19 at a hospital in Kanagawa, Japan, during SARS-CoV-2 Alpha variants epidemic. We compared the clinical characteristics, laboratory and radiological findings, treatment, and complications of the survivors and non-survivors. In logistic regression analysis, variables that were significant in the univariate analysis were subjected to multivariate analysis using the variable increase method.

Results

There were 119 and 13 patients in the survivor and non-survivor groups, respectively. Multivariate regression revealed increasing odds with the presence of ARDS and DIC (odd ratio (OR) = 16.35, 34.36; P=0.002, 0.001, respectively) and prolonged hospital stay (OR = 1.17; P=0.004).

Conclusions

We found the complications of ARDS and DIC and hospital length of stay to be independent predictors of in-hospital mortality in elderly unvaccinated patients with COVID-19. Establishing treatments and prevention methods for ARDS and DIC could result in lower mortality rates.

Elevated level of circulating calprotectin correlates with severity and high mortality in patients with COVID-19

BACKGROUND

Patients with coronavirus disease-2019 (COVID-19) are characterized by hyperinflammation. Calprotectin (S100A8/S100A9) is a calcium- and zinc-binding protein mainly secreted by neutrophilic granulocytes or macrophages and has been suggested to be correlated with the severity and prognosis of COVID-19.

AIM

To thoroughly evaluate the diagnostic and prognostic utility of calprotectin in patients with COVID-19 by analyzing relevant studies.

METHODS

PubMed, Web of Science, and Cochrane Library were comprehensively searched from inception to August 1, 2023 to retrieve studies about the application of calprotectin in COVID-19. Useful data such as the level of calprotectin in different groups and the diagnostic efficacy of this biomarker for severe COVID-19 were extracted and aggregated by using Stata 16.0 software.

RESULTS

Fifteen studies were brought into this meta-analysis. First, the pooled standardized mean differences (SMDs) were used to estimate the differences in the levels of circulating calprotectin between patients with severe and non-severe COVID-19. The results showed an overall estimate of 1.84 (95% confidence interval [CI]: 1.09-2.60). Diagnostic information was extracted from 11 studies, and the pooled sensitivity and specificity of calprotectin for diagnosing severe COVID-19 were 0.75 (95% CI: 0.64-0.84) and 0.88 (95% CI: 0.79-0.94), respectively. The AUC was 0.89 and the pooled DOR was 18.44 (95% CI: 9.07-37.51). Furthermore, there was a strong correlation between elevated levels of circulating calprotectin and a higher risk of mortality outcomes in COVID-19 patients (odds ratio: 8.60, 95% CI: 2.17-34.12; p < 0.1).

CONCLUSION

This meta-analysis showed that calprotectin was elevated in patients with severe COVID-19, and this atypical inflammatory cytokine might serve as a useful biomarker to distinguish the severity of COVID-19 and predict the prognosis.

Analyzing the Outcomes of COVID-19 Infection on Patients With Comorbidities: Insights From Hospital-Based Study

Introduction COVID-19 exhibits a broad spectrum of clinical manifestations, ranging from asymptomatic or mild cases to severe respiratory distress and, in some instances, fatal outcomes. The pre-existing inflammatory state in the patient prior to exposure to COVID-19, which could be because of any etiology or comorbidity, has been associated with prolonged morbidity, and adverse outcomes like increased mortality have been found. This study endeavors to investigate the principal risk factors linked to the morbidity and mortality of COVID-19, such as age, gender, and co-morbidities such as hypertension, diabetes mellitus, and others. Material and methods Patient demographic data like age, gender, and co-morbidities like diabetes mellitus, hypertension, respiratory illness, and coronary artery diseases, cerebrovascular accident was observed. The patient clinical profile, hematological, inflammatory markers at the time of admission, and outcome were noticed. Patients were divided into two groups - patients with comorbidity and those without comorbidity. Results In each cohort of COVID-19 patients, comprising those with and without comorbidities, there were 145 participants. The mean age of patients without comorbidities was found to be 49.97 years, whereas the mean age of those with comorbidities was 64.35 years. Within the comorbidity group, males formed the majority, accounting for 77.2% of the cohort; in the group without comorbidity also males predominated, representing 68.3% of the participants. Hypertension was the most common co-morbidity (89.7%), followed by diabetes mellitus (39.3%), and ischemic heart disease (8.3%). The multivariate logistic regression analysis for prediction of mortality showed hypothyroidism with odds ratio (OR) of 336.26 and confidence intervals (CI) (1.19-9477.13), ischemic heart disease with OR of 320.94 (CI 3.19-3237.4) and presence greater than two co-morbidities with OR of 42.14 (CI 1.34-1325.76). Cox regression analysis showed a statistically significant hazard ratio of 0.294 in patients with greater than two co-morbidities. Conclusion Hypothyroidism, ischemic heart disease, and the presence of multiple comorbid conditions were associated with the severity of COVID-19 illness and mortality.

Development of Predictive Models Based on Biochemical Parameters to Triage COVID-19 Patients: A Study Conducted in a Tertiary Care Hospital

Background The COVID-19 disease continues to cause severe mortality and morbidity. Biochemical parameters are being used to predict the severity of the infection. This study aims to predict disease severity and mortality to help reduce mortality through timely intervention in a cost-effective way. Methods A total of 324 COVID-19 cases admitted at our hospital (All India Institute of Medical Sciences, Patna, BR, India) between June 2020 to December 2020 (phase 1: 190 patients) and April 2021 to May 2021 (phase 2: 134 patients) were recruited for this study. Statistical analysis was done using SPSS Statistics version 23 (IBM Corp., Armonk, NY, USA) and model prediction using Python (The Python Software Foundation, Wilmington, DE, USA). Results There were significant differences in biochemical parameters at the time of admission among COVID-19 patients between phases 1 and 2, ICU and non-ICU admissions, and expired and discharged patients. The receiver operating characteristic (ROC) curves predicted mortality solely based on biochemical parameters. Using multiple logistic regression in Python, a total of four models (two each) were developed to predict ICU admission and mortality. A total of 92 out of 96 patients were placed into the correct management category by our model. This model would have allowed us to preserve 17 of the 21 patients we lost. Conclusions We developed predictive models for admission (ICU or non-ICU) and mortality based on biochemical parameters at the time of admission. A predictive model with a significant predictive capability for IL-6 and procalcitonin values using normal biochemical parameters was proposed. Both can be used as machine learning tools to prognosticate the severity of COVID-19 infections. This study is probably the first of its kind to propose triage for admission in the ICU or non-ICU at the medical emergency department during the first presentation for the necessary optimal treatment of COVID-19 based on a predictive model.

A prospective study of the effect of COVID-19 on psychiatric symptoms and sleep problems from infection to 9-month follow-up

Diverse psychological consequences of the COVID-19 pandemic have been reported for 6 months after infection. We conducted a prospective study to evaluate the psychological impact of COVID-19 infection in newly diagnosed cases that were followed up at 1, 6, and 9 months after infection. 137 people were recruited and divided into four groups based on the COVID-19 Treatment Guidelines. They were evaluated using the Pittsburgh Sleep Quality Index (PSQI), Post-traumatic stress disorder Checklist for DSM-5 (PCL-5), and Symptom Checklist 90 (SCL-90). We found that 9 months after infection, patients continued to report poor sleep (74.5%), PTSD (78.3%), somatization (17%), anxiety (17%), aggression (5.7%), phobic anxiety (4.7%), psychoticism (1.9%), paranoid (3.8%), and obsessive-compulsive (9.4%) symptoms, as well as depression and interpersonal sensitivity. The most significant risk factors for psychiatric complications were older age, level of education, smoking, hospitalization duration, hypertension, and critical severity. The negative mental health effects of COVID-19 persist after hospital discharge, and many patients continue to experience moderate-to-severe issues that may endure for 9 months. Notably, there was a progressive improvement in these symptoms over that time.

Predictions based on inflammatory cytokine profiling of Egyptian COVID-19 with 2 potential therapeutic effects of certain marine-derived compounds

BACKGROUNDS

A worldwide coronavirus pandemic has affected many healthcare systems in 2019 (COVID-19). Following viral activation, cytokines and chemokines are released, causing inflammation and tissue death, particularly in the lungs, resulting in severe COVID-19 symptoms such as pneumonia and ARDS. COVID-19 induces the release of several chemokines and cytokines in different organs, such as the cardiovascular system and lungs.

RESEARCH IDEA

COVID-19 and its more severe effects, such as an elevated risk of death, are more common in patients with metabolic syndrome and the elderly. Cytokine storm and COVID-19 severity may be mitigated by immunomodulation targeting NF-κB activation in conjunction with TNF- α -inhibition. In severe cases of COVID-19, inhibiting the NF-κB/TNF- α, the pathway may be employed as a therapeutic option.

MATERIAL AND METHODS

The study will elaborate on the Egyptian pattern for COVID-19 patients in the first part of our study. An Egyptian patient with COVID-19 inflammatory profiling will be discussed in the second part of this article using approved marine drugs selected to inhabit the significant inflammatory signals. A biomarker profiling study is currently being performed on Egyptian patients with SARS-COV-2. According to the severity of the infection, participants were divided into four groups. The First Group was non-infected with SARS-CoV-2 (Control, n = 16), the Second Group was non-intensive care patients (non-ICU, n = 16), the Third Group was intensive care patients (ICU, n = 16), and the Fourth Group was ICU with endotracheal intubation (ICU + EI, n = 16). To investigate COVID-19 inflammatory biomarkers for Egyptian patients, several inflammatory, oxidative, antioxidant, and anti-inflammatory biomarkers were measured. The following are examples of blood tests: CRP, Ferritin, D-dimer, TNF-α, IL-8, IL-6., IL-Ib, CD8, NF-κB, MDA, and total antioxidants.

RESULTS AND DISCUSSION

The results of the current study revealed many logical findings, such as the elevation of CRP, Ferritin, D-dimer, TNF- α, CD8, IL-6, IL-, NF-κB, and MDA. Where a significant increase showed in ICU group results (23.05 ± 0.30, 2.35 ± 0.86, 433.4 ± 159.3, 26.67 ± 3.51, 7.52 ± 1.48, 7.49 ± 1.04, 5.76 ± 1.31, 7.41 ± 0.73) respectively, and also ICU group results (54.75 ± 3.44, 0.65 ± 0.13, 460.2 ± 121.42, 27.43 ± 2.52, 8.63 ± 2.68, 10.65 ± 2.75, 5.93 ± 1.4, 10.64 ± 0.86) respectively, as well as ICU + EI group results (117.63 ± 11.89, 1.22 ± 0.65, 918.8 ± 159.27, 26.68 ± 2.00, 6.68 ± 1.08, 11.68 ± 6.16, 6.23 ± 0.07, 22.41 ± 1.39),respectively.The elevation in laboratory biomarkers of cytokines storm in three infected groups with remarkable increases in the ICU + EI group was due to the elevation of oxidative stress and inflammatory storm molecules, which lead to highly inflammatory responses, specifically in severe patients of COVID-19. Another approach to be used in the current study is investigating new computational drug compounds for SARS-COV-2 protective agents from the marine environment. The results revealed that (Imatinib and Indinavir) had the highest affinity toward Inflammatory molecules and COVID-19 proteins (PDB ID: -7CZ4 and 7KJR), which may be used in the future as possible COVID-19 drug candidates.

CONCLUSION

The investigated inflammatory biomarkers in Egyptian COVID-19 patients showed a strong correlation between IL6, TNF-α, NF-κB, CRB, DHL, and ferritin as COVID-19 biomarkers and determined the severity of the infection. Also, the oxidative /antioxidant showed good biomarkers for infection recovery and progression of the patients.

Severity of oxidative stress as a hallmark in COVID-19 patients

INTRODUCTION

Understanding the mechanisms and identifying effective treatments for the COVID-19 outbreak are imperative. Therefore, this study aimed to assess the antioxidant status and oxidative stress parameters as potential pivotal mechanisms in asymptomatic, non-severe, and severe COVID-19 patients.

METHODS

This study is a case-control study that was performed on patients referred to the Persian Gulf Martyrs Hospital of Bushehr University of Medical Sciences, Bushehr, Iran, from May 2021 to September 2021. A total of 600 COVID-19 patients (non-severe and severe group) and 150 healthy volunteers of the same age and sex were selected during the same period. On the first day of hospitalization, 10 ml of venous blood was taken from subjects. Then, hematological, biochemical, serological, antioxidant and oxidative stress parameters were determined.

RESULTS

Our results indicated that ESR, CRP, AST, ALT, and LDH significantly augmented in the severe group as compared to the non-severe and normal groups (P ≤ 0.05). It was observed that the levels of FRAP, G6PD activity, and SOD activity significantly reduced in the non-severe patients in comparison with the severe and normal groups (P ≤ 0.05). We found that MDA content and NO metabolite markedly increased in severe patients as compared to the non-severe group.

CONCLUSIONS

Taken together, it seems that the balance between antioxidants and oxidants was disturbed in COVID-19 patients in favor of oxidant markers. In addition, this situation caused more aggravation in severe patients as compared to the non-severe group.

Correlation between interleukin-6 expression in post-mortem core liver biopsy and degree of liver injury in patients with fatal COVID-19

Excessive release of interleukin-6 (IL-6) during the progression of coronavirus disease 2019 (COVID-19) induces cytokine storms, resulting in multi-organ damages including liver injury, similar in nature with mechanism of viral hepatitis. Systemic IL-6 has been associated with the incidence of liver injury among COVID-19 patients; however, studies on IL-6 expression in the liver tissue are completely lacking. The aim of this study was to measure the IL-6 expression in the liver tissues and to determine its correlation with the degree of liver injury in fatal COVID-19 patients. Through this first cross-sectional study, IL-6 expression was measured through immunohistochemical staining and the degree of liver injury was identified based on level of serum alanine aminotransferase (ALT). The Spearman correlation test was used to identify the correlation between IL-6 expression and the degree of liver injury. A total of 47 deceased COVID-19 patients were included and IL-6 expression was observed in all post-mortem liver specimens, ranging from mild to strong expression. Liver injury at various degrees (mild to severe) was found in more than half (59.5%) of the cases. The Spearman correlation analysis suggested a statistically insignificant correlation between liver IL-6 expression and the degree of liver injury (r=0.152; p=0.309). In conclusion, even IL-6 expression was observed in all post-mortem liver specimens, there was an insignificant correlation between IL-6 expression in the liver tissue with the degree of liver injury among fatal COVID-19 patients, suggesting that IL-6 was not the only main factor contributing to liver damage in COVID-19 patients.

Correlation of iron and related factors with disease severity and outcomes and mortality of patients with Coronavirus disease 2019

BACKGROUND

Iron is a trace element that possesses immunomodulatory properties and modulates the proneness to the course and outcome of a diverse viral diseases. This study intended to investigate the correlation of different iron-related factors with disease severity and outcomes as well as the mortality of coronavirus disease 2019 (COVID-19) patients.

METHODS

Blood serum samples were obtained from 80 COVID-19 cases and 100 healthy controls. Concentrations of ferritin, transferrin, total iron binding capacity (TIBC) was measured by Enzyme-linked immunosorbent assay (ELISA) and iron level was measured by immunoturbidometric method.

RESULTS

Concentrations of iron, transferrin, and TIBC were low, while ferritin level was high in the COVID-19 cases in comparison to controls. In non-survivor (deceased) patients as well as severe subjects, the levels of iron, ferritin, transferrin, and TIBC were significantly different than survivors (discharged) and mild cases. Significant correlations were found between iron and related factors and the clinicopathological features of the patients. Based on ROC curve analysis, iron, ferritin, transferrin, and TIBC had potential to estimate disease severity in COVID-19 subjects.

CONCLUSION

Iron metabolism is involved in the pathogenesis of COVID-19. Iron and related factors correlate with disease outcomes and might serve as biomarker in diagnosis of the disease severity and estimation of mortality in the COVID-19 subjects.

The effect of quercetin supplementation on clinical outcomes in COVID-19 patients: A systematic review and meta-analysis

Coronavirus disease (COVID-19) affects both the respiratory system and the body as a whole. Natural molecules, such as flavonoid quercetin, as potential treatment methods to help patients combat COVID-19. The aim of this systematic review and meta-analysis is to give a comprehensive overview of the impact of quercetin supplementation on inflammatory factors, hospital admission, and mortality of patients with COVID-19. The search has been conducted on PubMed, Scopus, Web of Science, EMBASE, and the Cochrane Library using relevant keywords until August 25, 2023. We included randomized controlled trials (RCTs) comparing COVID-19 patients who received quercetin supplementation versus controls. We included five studies summarizing the evidence in 544 patients. Meta-analysis showed that quercetin administration significantly reduced LDH activity (standard mean difference (SMD): -0.42, 95% CI: -0.82, -0.02, I 2 = 48.86%), decreased the risk of hospital admission by 70% (RR: 0.30, 95% CI: 0.14, 0.62, I 2 = 00.00%), ICU admission by 73% (RR: 0.27, 95% CI: 0.09, 0.78, I 2 = 20.66%), and mortality by 82% (RR: 0.18, 95% CI: 0.03, 0.98, I 2 = 00.00%). No significant changes in CRP, D-dimmer, and ferritin were found between groups. Quercetin was found to significantly reduce LDH levels and decrease the risk of hospital and ICU admission and mortality in patients with COVID-19 infection.

Multivariable Risk Modelling and Survival Analysis with Machine Learning in SARS-CoV-2 Infection

AIM

To evaluate the performance of a machine learning model based on demographic variables, blood tests, pre-existing comorbidities, and computed tomography(CT)-based radiomic features to predict critical outcome in patients with acute respiratory syndrome coronavirus 2 (SARS-CoV-2).

METHODS

We retrospectively enrolled 694 SARS-CoV-2-positive patients. Clinical and demographic data were extracted from clinical records. Radiomic data were extracted from CT. Patients were randomized to the training (80%, n = 556) or test (20%, n = 138) dataset. The training set was used to define the association between severity of disease and comorbidities, laboratory tests, demographic, and CT-based radiomic variables, and to implement a risk-prediction model. The model was evaluated using the C statistic and Brier scores. The test set was used to assess model prediction performance.

RESULTS

Patients who died (n = 157) were predominantly male (66%) over the age of 50 with median (range) C-reactive protein (CRP) = 5 [1, 37] mg/dL, lactate dehydrogenase (LDH) = 494 [141, 3631] U/I, and D-dimer = 6.006 [168, 152.015] ng/mL. Surviving patients (n = 537) had median (range) CRP = 3 [0, 27] mg/dL, LDH = 484 [78, 3.745] U/I, and D-dimer = 1.133 [96, 55.660] ng/mL. The strongest risk factors were D-dimer, age, and cardiovascular disease. The model implemented using the variables identified using the LASSO Cox regression analysis classified 90% of non-survivors as high-risk individuals in the testing dataset. In this sample, the estimated median survival in the high-risk group was 9 days (95% CI; 9-37), while the low-risk group did not reach the median survival of 50% (p < 0.001).

CONCLUSIONS

A machine learning model based on combined data available on the first days of hospitalization (demographics, CT-radiomics, comorbidities, and blood biomarkers), can identify SARS-CoV-2 patients at risk of serious illness and death.

Comprehensive antibody and cytokine profiling in hospitalized COVID-19 patients in relation to clinical outcomes in a large Belgian cohort

The immune response in patients with Coronavirus Disease 2019 (COVID-19) is highly variable and is linked to disease severity and mortality. However, antibody and cytokine responses in the early disease stage and their association with disease course and outcome are still not completely understood. In this large, multi-centre cohort study, blood samples of 434 Belgian COVID-19 hospitalized patients with different disease severities (ranging from asymptomatic/mild to critically ill) from the first wave of the COVID-19 pandemic were obtained. Baseline antibody and cytokine responses were characterized and associations with several clinical outcome parameters were determined. Anti-spike immunoglobulin (Ig)G and IgM levels were elevated in patients with a more severe disease course. This increased baseline antibody response however was associated with decreased odds for hospital mortality. Levels of the pro-inflammatory cytokines IL-6, IP-10 and IL-8, the anti-inflammatory cytokine IL-10 and the antiviral cytokines IFN-α, IFN-β and IFN-λ1 were increased with disease severity. Remarkably, we found significantly lower levels of IFN-λ2,3 in critically ill patients compared to patients of the moderate and severe disease category. Finally, levels of IL-8, IL-6, IP-10, IL-10, IFN-α, IFN-β, IFN-γ and IFN-λ1 at baseline were positively associated with mortality, whereas higher IFN-λ2,3 levels were negatively associated with mortality.

Increased risk of poor clinical outcome in COVID-19 patients with diabetes mellitus and in-hospital mortality predictors: A retrospective cohort from a tertiary hospital in Indonesia

AIM

To determine association between diabetes in confirmed cases of COVID-19 and intensive care admission and in-hospital mortality, evaluate several laboratory parameters as mortality predictor and develop predictors of in-hospital mortality among diabetics with COVID-19.

METHODS

This retrospective cohort recruited all cases of COVID-19 hospitalized in Fatmawati General Hospital from March to October 2020. Inclusion criterion was RT-PCR confirmed cases of COVID-19 who aged 18 years and older while exclusion criteria were incomplete medical record or cannot be found and pregnant women.

RESULTS

We enrolled 506 participants to this study with median age of 51 years (IQR:22), female (56.32%), and diabetes (28.46%). Diabetes increased intensive care admission (adjusted OR: 2.57; 95% CI: 3.52-10.43) and in-hospital mortality (adjusted OR: 2.50; 95% CI: 1.61-3.89). In predicting in-hospital mortality, ferritin and lactate dehydrogenase offered an acceptable discrimination, AUC: 0.71 (95% CI: 0.62-0.79) and AUC: 0.70 (95% CI: 0.61-0.78), respectively. The optimal cut-off of predicting mortality for ferritin was 786 g/mL and for LDH was 514.94 u/L. Factors include age above 70 years old, RBGs level on admission above 250 mg/dL or below 140 mg/dL, ferritin level above 786 ng/mL and presence of ARDS increased the odds of mortality among individuals with diabetes.

CONCLUSIONS

Diabetes increases risk intensive care admission and in hospital mortality in COVID-19. Multivariate analysis showed that older age, RBG on admission, high ferritin level, presence of ARDS increased the odds of mortality among individuals with diabetes.

Advances in Biomarkers for Diagnosis and Treatment of ARDS

Acute respiratory distress syndrome (ARDS) is a common and fatal disease, characterized by lung inflammation, edema, poor oxygenation, and the need for mechanical ventilation, or even extracorporeal membrane oxygenation if the patient is unresponsive to routine treatment. In this review, we aim to explore advances in biomarkers for the diagnosis and treatment of ARDS. In viewing the distinct characteristics of each biomarker, we classified the biomarkers into the following six categories: inflammatory, alveolar epithelial injury, endothelial injury, coagulation/fibrinolysis, extracellular matrix turnover, and oxidative stress biomarkers. In addition, we discussed the potential role of machine learning in identifying and utilizing these biomarkers and reviewed its clinical application. Despite the tremendous progress in biomarker research, there remain nonnegligible gaps between biomarker discovery and clinical utility. The challenges and future directions in ARDS research concern investigators as well as clinicians, underscoring the essentiality of continued investigation to improve diagnosis and treatment.

Effects of inflammation on thrombosis and outcomes in COVID-19: secondary analysis of the ATTACC/ACTIV-4a trial

Background

Patients hospitalized for COVID-19 are at high risk of thrombotic complications and organ failure, and often exhibit severe inflammation, which may contribute to hypercoagulability.

Objectives

To determine whether patients hospitalized for COVID-19 experience differing frequencies of thrombotic and organ failure complications and derive variable benefits from therapeutic-dose heparin dependent on the extent of systemic inflammation and whether observed benefit from therapeutic-dose anticoagulation varies depending on the degree of systemic inflammation.

Methods

We analyzed data from 1346 patients hospitalized for COVID-19 enrolled in the ATTACC and ACTIV-4a platforms who were randomized to therapeutic-dose heparin or usual care for whom levels of C-reactive protein (CRP) were reported at baseline.

Results

Increased CRP was associated with worse patient outcomes, including a >98% posterior probability of increased organ support requirement, hospital length of stay, risk of 28-day mortality, and incidence of major thrombotic events or death (patients with CRP 40-100 mg/L or ≥100 mg/L compared to patients with CRP <40 mg/L). Patients with CRP 40 to 100 mg/L experienced the greatest degree of benefit from treatment with therapeutic doses of unfractionated or low molecular weight heparin compared with usual-care prophylactic doses. This was most significant for an increase in organ support-free days (odds ratio: 1.63; 95% confidence interval, 1.09-2.40; 97.9% posterior probability of beneficial effect), with trends toward benefit for other evaluated outcomes.

Conclusion

Moderately ill patients hospitalized for COVID-19 with CRP between 40 mg/L and 100 mg/L derived the greatest benefit from treatment with therapeutic-dose heparin.

Risk factors associated with fatal thrombosis in hospitalized coronavirus disease 2019 (COVID-19) patients on anticoagulant therapy

BACKGROUND

The purpose of this study was to determine the factors that increase the risk of fatal thrombotic events in hospitalized coronavirus disease 2019 (COVID-19) patients receiving standard therapy according to the National Clinical Practice Guidelines (National Guidelines).

MATERIALS AND METHODS

In this case-control study, cases included 83 adults with COVID-19 who had died from thrombosis and controls comprised 83 COVID-19 patients with comparable criteria who survived. Data was abstracted by reviewing the medical records of selected patients and analyzed using Statistica. Parametric and non-parametric tests, as appropriate, were used to compare continuos variables between cases and controls, whereas Chi-square test was employed to compare categorical variables. Odds ratio (OR) was also calculated to measure the strength of association of case status and various independent variables.

RESULTS

Fatal outcomes were higher in patients with chronic tubulointerstitial nephritis, (OR = 2.4, 95% CI 1.2-4.9); obesity, (OR = 2.1, 95% CI 0.5-8.6); and coronary heart disease (OR = 1.6, 95% CI 0.8-3.2). In the group with a D-dimer level from 250 to 1000 ng/ml, a statistically significant moderate positive correlation was found between the day of death and D-dimer level (P = 0.026). The lack of use of the PADUA Prediction Score for the risk of venous thromboembolism scale (PADUA Scale) and control of laboratory parameters (APTT and D-dimer) were associated with increased risk of fatal outcome. Overall, 19.2% cases and 8.4% of controls had no coagulation control; (OR = 2.6, 95% CI 1-6.7).

CONCLUSION

Chronic tubulointerstitial nephritis, obesity, and coronary heart disease were associatied with fatal thrombosis. A slight elevation of D-dimer level, lack of the PADUA Scale and laboratory monitoring in the management of hospitalized patients with COVID-19. was associated with an increased risk of thromboembolism.

Evaluation of the association between clinical parameters and ADAM33 and ORMDL3 asthma gene single-nucleotide polymorphisms with the severity of COVID-19

BACKGROUND

Coronavirus Disease of 2019 (COVID-19) is a contagious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Patients had varying clinical symptoms and disease severity (mild, moderate, severe, and critical). Several risk factors, including genetic polymorphisms, have been reported to be associated with disease risk and severity. This study aimed to investigate the association of two polymorphisms in the orosomucoid1-like 3 (ORMDL3) and a disintegrin and metalloprotease 33 (ADAM33) asthma-related genes with the severity of COVID-19.

MATERIAL AND METHODS

The study included 116 COVID-19 patients with a positive polymerase chain reaction (PCR) test for the SARS-CoV-2 Delta variant. 58 patients with moderate symptoms, 28 patients with severe symptoms, and 30 outpatients with mild symptoms. Genotyping of rs7216389 in the ORMDL3 and rs2280091 in ADAM33 genes was performed by polymerase chain reaction-restriction fragment length polymorphism. Furthermore, records of patients were studied for hematological profiles and biochemical markers.

RESULTS

No significant association was found between rs7216389 and rs2280091 and the severity of COVID-19 between different groups of COVID-19 patients. The serum levels of RBC and neutrophil-to-lymphocyte ratio were significantly increased; the erythrocyte sedimentation rate (ESR), and Aspartate transaminase (SGOT) were significantly decreased during treatment in intensive care unit (ICU) patients. The serum levels of red blood cells, Platelets, Urea, Alkaline phosphatase, ESR, Alanine transaminase (SGPT), and SGOT were significantly increased during treatment in hospitalized patients. The serum levels of inflammatory factors, including C-reactive protein (CRP), D-dimer, and Ferritin at the time of admission, were significantly higher in patients admitted to the ICU patients compared to the other group of patients.

CONCLUSION

The two polymorphisms studied in this research are not suitable markers for predicting the severity of COVID-19. However, there are significant differences in the amounts of some blood factors in different groups of COVID-19 patients (P < 0.05) and these factors can be used as a marker for the disease severity prediction.

Evaluation of clinical features and laboratory findings in critical intensive care unit patients with severe coronavirus disease-19 who underwent extracorporeal cytokine adsorption

AIM

To evaluate the inflammatory parameters and oxygenation in severe coronavirus disease-19 patients who underwent extracorporeal cytokine adsorption (CA).

METHODS

Patients who underwent extracorporeal CA for cytokine storm were included in the study. The changes in oxygenation, laboratory parameters, and mortality rates were investigated.

RESULTS

Thirty-six patients were included in the study. The hemoglobin, thrombocyte, and C-reactive protein (CRP) decreased, and PaO2 /FiO2 ratio increased (p < 0.001; p < 0.01; p < 0.001; p = 0.04, respectively). Twelve (33.3%) patients received a single session, 24 (66.6%) received 2 or more sessions. CRP and fibrinogen levels decreased, and PaO2 /FIO2 ratio increased in the single session group (p = 0.04; p = 0.04; p = 0.01, respectively). In the multi-session group, the hemoglobin, platelet, procalcitonin, and CRP levels decreased, and PaO2 /FIO2 ratio increased (p < 0.01; p = 0.02; p = 0.02; p < 0.01; p = 0.01, respectively). Day 15, 30, and 90 mortality rates were 61.1%, 83.3%, and 88.9%.

CONCLUSION

CA with hemoperfusion reduced CRP and improved oxygenation; however, mortality rates were high.

Mesenchymal Stem Cells in the Treatment of COVID-19

Since the emergence of the coronavirus disease 2019 (COVID-19) pandemic, many lives have been tragically lost to severe infections. The COVID-19 impact extends beyond the respiratory system, affecting various organs and functions. In severe cases, it can progress to acute respiratory distress syndrome (ARDS) and multi-organ failure, often fueled by an excessive immune response known as a cytokine storm. Mesenchymal stem cells (MSCs) have considerable potential because they can mitigate inflammation, modulate immune responses, and promote tissue regeneration. Accumulating evidence underscores the efficacy and safety of MSCs in treating severe COVID-19 and ARDS. Nonetheless, critical aspects, such as optimal routes of MSC administration, appropriate dosage, treatment intervals, management of extrapulmonary complications, and potential pediatric applications, warrant further exploration. These research avenues hold promise for enriching our understanding and refining the application of MSCs in confronting the multifaceted challenges posed by COVID-19.

Expression pattern of long non-coding RNAs MALAT1 and MEG3 in COVID-19 patients

BACKGROUND

COVID-19 is a novel infectious disease for which no specific treatment exists. It is likely that a combination of genetic and non-genetic factors predispose to it. Expression levels of genes that are involved in the interaction with SARS-CoV-2 or the host response are thought to play a role in disease susceptibility and severity. It is crucial to explore biomarkers for disease severity and outcome. Herein, we studied the expression levels and effects of long non-coding metastasis-associated lung adenocarcinoma transcript 1 (lnc-MALAT1) and long non-coding maternally expressed gene 3 (lnc-MEG3) in COVID-19 patients. The study enrolled 35 hospitalized and 35 non-hospitalized COVID-19 patients, and 35 healthy controls. A chest computed tomography (CT) scan, complete blood count (CBC), ferritin, C-reactive protein (CRP), D-dimer and analysis of lnc-MALAT1 and lnc-MEG3 expression were done.

RESULTS

There was a significant relation between ferritin, CRP, D-dimer levels, oxygen saturation, CT-CORADS score and disease severity. Lnc-MALAT1 was significantly higher but lnc-MEG3 was significantly lower in patients vs. controls, and in hospitalized vs. non-hospitalized patients. Elevated MALAT1 and reduced MEG3 levels were significantly associated with more elevated ferritin, CRP, D-dimer levels, lower oxygen saturation, higher CT-CORADS score and poor survival. Moreover, MALAT1 and MEG3 levels displayed higher sensitivity and specificity as predictors of COVID-19 severity compared with other prognostic biochemical markers such as ferritin, CRP, and D-dimer.

CONCLUSIONS

MALAT1 levels are higher, whereas MEG3 levels are lower in COVID-19 patients. Both are linked to disease severity and mortality and could emerge as predictive biomarkers for COVID-19 severity and therapeutic targets.

What we learned from steroid therapy in the COVID-19 pandemic

Background

The emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) caused a pandemic named coronavirus disease 2019 (COVID-19) that has become the greatest worldwide public health threat. Although different treatment recommendations are offered for COVID-19 infection, steroid treatment remains important.

Aim

We aimed to demonstrate the effect of pulse steroid therapy (PST) on inflammatory markers and patient outcomes in moderate/severe COVID-19 pneumonia.

Materials and Methods

We retrospectively analyzed the patients 18 years and older hospitalized in our hospital's COVID-19 clinics between April 1, 2020, to June 30, 2020, and July 1, 2021, to November 30, 2021. Patients in the moderate/severe COVID-19 pneumonia category, according to the World Health Organization COVID-19 guidelines, were included in the study. The demographic characteristics of the patients, treatments, inflammatory markers, and patient outcomes (need for intensive care, length of hospital stay, high-flow nasal oxygen (HFNO) requirement, mechanical ventilation (MV), and mortality rates) were recorded and analyzed.

Results

Patients who received PST had more advanced age (P < 0.01), more comorbidities (P < 0.001), and more HFNO need (P < 001) compared with the patients who did not receive PST. There was no statistically significant difference between clinical outcomes: the need for intensive care, length of hospital stay, need for MV, and mortality rates (P = 0.54, P = 0.3, P = 0.14, and P = 0.09, respectively). When we evaluated the unvaccinated patients, there was a statistically significant difference in the MV need and mortality rates between those who received PST and those who did not (P = 0.017, P = 0.014, respectively).

Conclusion

It was observed that PST provided similar mortality, ICU, and MV requirements in patients with older age and comorbidities. Lower MV requirements and mortality were observed in the unvaccinated group receiving PST compared with the unvaccinated group not receiving steroids. PST is still promising in COVID-19 infection, and more studies are needed for standard doses and applications.

Acute invasive fungal rhinosinusitis (AIFRS) - A histopathological analysis of expanding spectrum of fungal infections in backdrop of COVID-19 pandemic

Context

Acute invasive fungal rhinosinusitis (AIFRS) is an aggressive infection affecting immunocompromised patients and carries a high morbidity and mortality. It is commonly seen in immunocompromised patients, mainly in uncontrolled diabetes, malignancy, acquired immunodeficiency syndrome, and so on. However, there has been an exponential increase in the incidence of AIFRS in relation to recent coronavirus disease 2019 (COVID-19) infection.

Aims

We present this study to assess histomorphological features of fungal infections in the background of COVID-19 era.

Materials and Methods

The study includes interpretation of 34 biopsies of suspected AIFRS in post COVID-19 patients. The demographic details like patients age, sex, diabetic status, COVID-19 status, and history of steroid intake were collected. All specimens were stained with hematoxylin and eosin and PAS stain. Detailed microscopic examination including the presence of fungal hyphae in the tissue, characterization of inflammatory response, presence of tissue invasion, angioinvasion, and necrosis was noted for each case.

Results

Thirty-four biopsy specimens from various sites - nasal cavity, maxillary sinus, ethmoid sinus, and so on - were studied. The mean age of the patients with AIFRS was 52.68 years. The dominant fungi were Mucorales in 31 (91.3%), Aspergillus and Mucorales in 1 (2.9%), a combination of Mucorales and Candida identified in 1 (2.9%) case, and Candida alone in 1 case (2.9%). Bony invasion and perineural invasion were observed in 5 cases (14.7%) and 1 (2.9%) case, respectively.

Conclusion

Histopathological examination plays an essential role in the diagnosis and appropriate management of the patients. Histopathological features including characterization of fungi, angioinvasion, and bone invasion may provide information on rare dreaded infections in post-COVID-19 patients for possible prognostic characteristics on histology.

C-reactive protein and clinical outcome in COVID-19 patients: the importance of harmonized measurements

C-reactive protein (CRP) is a cytokine-mediated acute phase reactant with a recognized role in inflammatory conditions and infectious disease. In coronavirus disease 2019 (COVID-19), elevated CRP concentrations in serum were frequently detected and significantly associated with poor outcome in terms of disease severity, need for intensive care, and in-hospital death. For these reasons, the marker was proposed as a powerful test for prognostic classification of COVID-19 patients. In most of available publications, there was however confounding information about how interpretative criteria for CRP in COVID-19 should be derived, including quality of employed assays and optimal cut-off definition. Assuring result harmonization and controlling measurement uncertainty in terms of performance specifications are fundamental to allow worldwide application of clinical information according to specific CRP thresholds and to avoid risk of patient misclassification.

The predictive role of biochemical markers on outcomes of severe COVID-19 patients admitted to intensive care unit

Background

The pandemic of severe acute respiratory syndrome by coronavirus 2 (SARS-CoV-2) is a multi-system disease caused by a diffuse systemic process involving a complex interaction of the inflammatory, immunological and coagulative cascades. This study aims to identify the most effective biomarkers to predict poor outcome in intensive care unit (ICU) patients with severe COVID-19 disease.

Methods

A single-centre retrospective observational study enrolled 69 deceased and 20 recovered patients treated in the ICU of the General Hospital Gradiska in the period from March 1, 2021. until April 1, 2022. We evaluated the leukocytes (WBC), lymphocytes (LYM), neutrophils (NEU), platelets (PLT), haemoglobin, neutrophil-lymphocyte ratio (NLR), platelet lymphocyte ratio (PLR), and systemic immune-inflammation index (SII). In addition, we evaluated the IL-6, ferritin, CRP, D-dimer, magnesium, bilirubin and lactate dehydrogenase.

SARS-CoV-2-specific T cell therapy for severe COVID-19: a randomized phase 1/2 trial

Despite advances, few therapeutics have shown efficacy in severe coronavirus disease 2019 (COVID-19). In a different context, virus-specific T cells have proven safe and effective. We conducted a randomized (2:1), open-label, phase 1/2 trial to evaluate the safety and efficacy of off-the-shelf, partially human leukocyte antigen (HLA)-matched, convalescent donor-derived severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)-specific T cells (CoV-2-STs) in combination with standard of care (SoC) in patients with severe COVID-19 compared to SoC during Delta variant predominance. After a dose-escalated phase 1 safety study, 90 participants were randomized to receive CoV-2-ST+SoC (n = 60) or SoC only (n = 30). The co-primary objectives of the study were the composite of time to recovery and 30-d recovery rate and the in vivo expansion of CoV-2-STs in patients receiving CoV-2-ST+SoC over SoC. The key secondary objective was survival on day 60. CoV-2-ST+SoC treatment was safe and well tolerated. The study met the primary composite endpoint (CoV-2-ST+SoC versus SoC: recovery rate 65% versus 38%, P = 0.017; median recovery time 11 d versus not reached, P = 0.052, respectively; rate ratio for recovery 1.71 (95% confidence interval 1.03-2.83, P = 0.036)) and the co-primary objective of significant CoV-2-ST expansion compared to SοC (CoV-2-ST+SoC versus SoC, P = 0.047). Overall, in hospitalized patients with severe COVID-19, adoptive immunotherapy with CoV-2-STs was feasible and safe. Larger trials are needed to strengthen the preliminary evidence of clinical benefit in severe COVID-19. EudraCT identifier: 2021-001022-22 .

Correlation between high sensitivity C reactive protein (Hs-CRP) and neutrophil-to- lymphocyte ratio (NLR) with functional capacity in post COVID-19 syndrome patients

Post coronavirus disease 2019 (COVID-19) syndrome is one of the causes of reduced functional capacity and work productivity, in particular for healthcare workers. The pathophysiology of the post COVID-19 syndrome is related to complex and multisystem inflammatory mechanisms, and cardiopulmonary exercise rehabilitation program is one of the efforts to improve the recovery process for patients with post COVID-19 syndrome. The aim of this study was to determine the correlation between the level of high sensitivity C-reactive protein (Hs-CRP) and neutrophil-to-lymphocyte ratio (NLR) with functional capacity (VO2max) in individuals with post-COVID-19 syndrome who received moderate- and high-intensity supervised cardiopulmonary exercise. A prospective cohort study was conducted at the Integrated Cardiac Rehabilitation Center of Dr. Zainoel Abidin Hospital, Banda Aceh, Indonesia. The supervised cardiopulmonary exercise was conducted for six weeks according to the participant's baseline VO2max. Spearman's and Pearson's correlation tests were used to assess the correlations. A total of 30 individuals (19 and 11 had moderate and high intensity exercise, respectively) were involved in this study. At moderate intensity exercise, the average Hs-CRP and NLR were 3.3 mg/L and 1.99, respectively; while at high intensity, the values were 3.8 mg/L and 1.79, respectively. No significant correlation between Hs-CRP level and functional capacity in both moderate-intensity and high intensity groups. In contrast, NLR was negatively correlated with functional capacity (r=-0.545, p=0.016) in moderate intensity exercise group. In conclusion, NLR value was negatively correlated with functional capacity in individuals with post-COVID-19 syndrome after receiving moderate intensity supervised cardiopulmonary exercise program. Therefore, moderate intensity of cardiopulmonary exercise maybe be used as a program to accelerate the recovery for those with post COVID-19 syndrome.

Protection against Severe Illness versus Immunity-Redefining Vaccine Effectiveness in the Aftermath of COVID-19

Anti-SARS-CoV-2 vaccines have played a pivotal role in reducing the risk of developing severe illness from COVID-19, thus helping end the COVID-19 global public health emergency after more than three years. Intriguingly, as SARS-CoV-2 variants emerged, individuals who were fully vaccinated did get infected in high numbers, and viral loads in vaccinated individuals were as high as those in the unvaccinated. However, even with high viral loads, vaccinated individuals were significantly less likely to develop severe illness; this begs the question as to whether the main effect of anti-SARS-CoV-2 vaccines is to confer protection against severe illness or immunity against infection. The answer to this question is consequential, not only to the understanding of how anti-SARS-CoV-2 vaccines work, but also to public health efforts against existing and novel pathogens. In this review, we argue that immune system sensitization-desensitization rather than sterilizing immunity may explain vaccine-mediated protection against severe COVID-19 illness even when the SARS-CoV-2 viral load is high. Through the lessons learned from COVID-19, we make the case that in the disease's aftermath, public health agencies must revisit healthcare policies, including redefining the term "vaccine effectiveness."

Assessment of the Correlation Between Inflammatory Status and Severity of COVID-19: Experience from Tertiary Hospital in Iraq

As COVID-19 pandemic has strikingly hit the health systems of many countries, thus, the assessment of disease severity and its correlation with clinical and biochemical markers has become a necessity. These predictors can help in the diagnostics and therapeutics of COVID_19 and future viral respiratory tract infections. This was a cross-sectional study to assess the association between inflammatory makers and chronic conditions on computed tomography (CT) severity score, and D-dimer as a surrogate marker of disease severity. The results showed that inflammatory markers, age, were positively and significantly correlated with D-dimer, but inversely with oxygen saturation (SPO2). CT score showed similar pattern with exception of C-reactive protein. Vaccines had positive impact on CT severity score and Neutrophil to lymphocyte ration. These favorable outcomes provide us with affirmation regarding WHO and other international organizations that encourage people to take vaccines and especially patients, who suffer chronic diseases. The ramifications of the results are vast and pave the pathway to manage and assess COVID-19 patients in Iraq healthcare facilities.

Calcitonin Gene-Related Peptide Monoclonal Antibodies and Risk of SARS-CoV-2 Infection and Severe COVID-19 Outcomes Among Veterans With Migraine Disorder

Importance

Calcitonin gene-related peptide (CGRP), a neuropeptide involved in migraine pathophysiology, is also a key neuroimmune modulator. CGRP antagonists may help mitigate the hyperinflammatory response observed in patients with COVID-19; however, findings from the literature are contradictory, and to date, no study has investigated the safety and effectiveness of CGRP antagonists against COVID-19.

Objective

To evaluate the association between CGRP monoclonal antibody (mAb) treatment and risk of SARS-CoV-2 infection and sequela hospitalization, requiring supplemental oxygen, use of mechanical ventilation, or death.

Design, Setting, and Participants

This retrospective cohort study analyzed the electronic health records of US veterans aged 18 to 65 years who were diagnosed with migraine disorder and were at risk of COVID-19 between January 20, 2020, and May 19, 2022.

Exposure

Initiation of CGRP mAbs.

Main Outcomes and Measures

The main outcome was cumulative incidence of SARS-CoV-2 infection. Odds of 30-day hospitalization, requiring supplemental oxygen, use of mechanical ventilation, or death were secondary outcomes.

Results

Among 8 178 652 eligible person-trials (354 294 veterans), 9992 (mean [SD] age, 46.0 [9.5] years; 53.9% male) initiated CGRP mAbs and 8 168 660 (mean [SD] age, 46.6 [10.2] years; 65.7% male) did not initiate CGRP mAbs. Over a 28-month follow-up period, 1247 initiators (12.5%) and 780 575 noninitiators (9.6%) tested positive for SARS-CoV-2. After censoring persons who deviated from treatment, the incidence was 7.4 cases per 1000 person-months among initiators and 6.9 per 1000 person-months among noninitiators. The inverse probability-weighted observational analogs of intention-to-treat and per-protocol hazard ratios were 0.95 (95% CI, 0.89-1.01) and 0.93 (95% CI, 0.86-1.02), respectively. No significant differences in the likelihood of hospitalization (odds ratio [OR], 0.93; 95% CI, 0.62-1.41), requiring supplemental oxygen (OR, 0.77; 95% CI, 0.45-1.30), use of mechanical ventilation (OR, 0.85; 95% CI, 0.26-2.84), or death (OR, 0.67; 95% CI, 0.09-5.23) were observed between CGRP mAb initiators and noninitiators who tested positive for SARS-CoV-2.

Conclusions and Relevance

In this cohort study, CGRP mAb treatment was not associated with positive SARS-CoV-2 test results or risk of severe COVID-19 outcomes, suggesting that CGRP mAbs may be used for migraine prevention during the COVID-19 pandemic. Given the few events of requiring supplemental oxygen, use of mechanical ventilation, and death, replication analysis in a larger sample of patients later in the course of disease is warranted.

The effect of diabetes mellitus on COVID-19 mortality among patients in a tertiary-level hospital in Bandung, Indonesia

Immune system dysregulation in people with diabetes mellitus (DM) increases the risk of acquiring severe infection. We compared the clinical characteristics and laboratory parameters of coronavirus disease 2019 (COVID-19) patients with and without DM and estimated the effect of DM on mortality among COVID-19 patients. A retrospective cohort study collecting patients' demographic, clinical characteristics, laboratory parameters and treatment outcomes from medical records was conducted in a hospital in Bandung City from March to December 2020. Univariable and multivariable logistic regression was performed to determine the association between DM and death. A total of 664 COVID-19 patients with positive real-time reverse transcription polymerase chain reaction for severe acute respiratory syndrome coronavirus 2 were included in this study, of whom 147 were with DM. Half of DM patients presented HbA1c ≥10%. DM patients were more likely to present with comorbidities and severe to critical conditions at admission (P <0.001). Laboratory parameters such as neutrophil-lymphocyte count ratio, C-reactive protein, D-dimer, ferritin, and lactate dehydrogenase were higher in the DM group. In the univariate analysis, variables associated with death were COVID-19 severity at baseline, neurologic disease, DM, age ≥60 years, hypertension, cardiovascular disease, and chronic kidney disease. DM remained associated with death (aOR 1.82; 95% CI 1.13-2.93) after adjustment with sex, age, hypertension, cardiovascular disease, and chronic kidney disease. In conclusion, COVID-19 patients with DM are more likely to present with a very high HbA1c, comorbidities, and severe-critical illness. Chronic inflammation in DM patients may be aggravated by the disruption of immune response caused by COVID-19, leading to worse laboratory results and poor outcomes.

The role of high-sensitivity C-reactive protein serum levels in the prognosis for patients with stroke: a meta-analysis

Background

The impact of high-sensitivity C-reactive protein (hs-CRP) as a biomarker of inflammation on the prognosis of stroke patients remains controversial, this study was conducted to evaluate the prognostic value of hs-CRP levels for patients with stroke.

Methods

PubMed, Web of Science, Embase, and Cochrane Library databases were searched from inception to October 28, 2022. Outcome measures were all-cause mortality, recurrent stroke, and poor prognosis. The relationship between the highest versus lowest levels of hs-CRP or per unit increment and outcomes as measured by risk ratio (RR) and corresponding 95% confidence intervals (CI).

Results

A total of 39 articles were eligible for meta-analysis. High hs-CRP levels at admission were associated with mortality among patients with acute ischemic stroke (AIS) [RR = 3.84, 95% CI (2.41 ~ 6.111); p < 0.001], risk of recurrent stroke [RR = 1.88, 95%CI (1.41 ~ 2.52); p < 0.001], and poor prognosis [RR = 1.77, 95% CI (1.59 ~ 1.97); p < 0.001]. The risk ratios for the association of per unit increase in hs-CRP levels with mortality, risk of recurrent stroke, and poor prognosis were as follows, respectively: 1.42 [95% CI (1.19-1.69); p < 0.001], 1.03 [95% CI (1.01-1.04); p = 0.003], and 1.27 [95% CI (1.10-1.47); p = 0.001]. For hemorrhagic stroke (HS), the risk ratios (RR) for the highest versus the lowest (reference) category of hsCRP or per unit increment to all-cause mortality were 4.36 [95% CI (1.38-13.73); p = 0.012] and 1.03 [95% CI (0.98-1.08); p = 0.238].

Conclusion

Hs-CRP levels are strongly associated with mortality, risk of stroke recurrence and poor prognosis in stroke patients. Therefore, hs-CRP levels may contribute to the prognosis prediction of these patients.

Evaluation of Thyroid Function Tests in Patients With COVID-19

Background SARS-CoV-2 infects cells via angiotensin-converting enzyme 2 (ACE2). ACE2 levels are high in the thyroid gland. Although the thyroid gland can be directly infected in COVID-19 patients, the hypothalamic-pituitary-thyroid axis is also affected. Therefore, changes in thyroid function occur in COVID-19 patients. This study aimed to examine the effect of thyroid function tests on the prognosis of COVID-19. Methodology A total of 146 patients who were diagnosed with COVID-19 and treated in the intensive care unit between August and November 2021 and who had no previous history of thyroid disease were included in the study. Demographic information, laboratory tests, and thyroid hormone levels during hospitalization and discharge patterns were evaluated. The patients were divided into two groups: group I included those who were discharged after recovery, and group II included those who did not respond to treatment and died. Results When the fT3 and fT4 levels of the patients were compared, the hormone levels decreased as the clinical severity of the disease increased. The amount of decrease in hormone levels was mostly seen in group II. In the recovered patient group, the amount of hormone decreased was less. The difference between fT3 and ft4 values between the groups was found to be statistically significant (P = 0.015 and P = 0.004). In addition, the difference between the groups' C-reactive protein (CRP), D-dimer, and ferritin values was statistically significant (P = 0.036, P = 0.022, and P < 0.000, respectively). There was no statistically significant difference between the groups in terms of demographic characteristics (P > 0.05). Conclusions Thyroid hormone changes were found to be an important prognostic parameter affecting disease severity and mortality in COVID-19 patients and can be used to predict mortality.

COVID-19 associated coagulopathy: A bibliometric investigation

Infection with SARS-CoV-2 initiates an immune-hemostatic response. While both systems are intimately connected and necessary for an efficient immune response to contain the infection, excessive coagulation activation might exceed the valuable benefits by causing thrombotic consequences and excessive inflammation. This biological response is new to clinicians and researchers, and accordingly, tremendous studies have been conducted on coagulopathy and its relationship to COVID-19 disease during this pandemic. Therefore, it takes a research insight from a bibliometric perspective to determine research hotspots and trends of COVID-19 associated coagulopathy (C19-CA). The analysis relies on the Scopus database for bibliographic content and Visualization of Similarities viewer software to map bibliometric data of C19-CA. Our study finds the most eminent authors, journals, institutions, funding organizations, and countries that publish in the C19-CA. Additionally; this research employs bibliometric analysis of co-authorship, co-citations, bibliographic coupling, and co-occurrence of keywords. A total of 2242 studies were retrieved, and the number of annual publications of C19-CA showed remarkable growth. The top-publishing authors on C19-CA are Smadja, D.M., Diehl, J.L., and Gendron, N (France). The total number of articles published in English in these three years was 1241, with the original article accounting for 99.8% and conference papers accounting for 0.2%. Huazhong University of Science and Technology (China) is the top-productive institution, with the US being the top-publishing country. Journal of Thrombosis and Thrombolysis received the highest number of original articles. The research results were mainly published in the fields of Medicine, Biochemistry, Genetics, and Molecular Biology, Immunology and Microbiology. Yuanyuan Li, who is (China), is the top-collaborating author. China and its authors have the highest number of citations. Keywords' co-occurrence analyses of the authors and all keywords revealed the following themes in C19-CA; abnormal coagulation parameters, pulmonary coagulopathy, venous and arterial thrombotic disorders, distinct features of coagulopathy, inflammation, and thrombosis in COVID-19, and anticoagulants and thrombolytic therapies. By combining bibliometric analysis with VOSviewer software, we identified C19-CA's leaders, collaborating institutions, and research hotspots, as well as give references for future research paths.

Clinical Characteristics and Outcomes of Vaccinated VS Non-Vaccinated Critically Ill COVID-19 Patients: Retrospective Observation Study

Objective

We aim to identify the clinical characteristics and outcome of vaccine breakthrough infection in critically ill COVID-19 patients and to compare the clinical course of disease between vaccinated and non-vaccinated patients.

Methods

A retrospective review of all adult patients aged ≥18 years admitted to the ICU in King Fahd Hospital of the University in Saudi Arabia with positive COVID-19 RT-PCR test between the period of January 1st to August 31st, 2021, were included. The recruited patients were grouped in to "vaccinated and non-vaccinated group" based on their immunization status. The demographic data, co-morbidities, modality of oxygen support, ICU length of stay (ICU LOS) and mortality were collected and analyzed.

Results

A total of 167 patients were included. Seventy-two patients (43%) were vaccinated. Cardiovascular diseases were higher among the vaccinated group (33.3% vs 12.6%, p value <0.001). Requirements of Non-invasive ventilation was significantly lower in vaccinated group compared to non-vaccinated group (73.6% vs 91.6%, p value <0.011). The rates of intubation were similar between both groups. The total intubation days was longer in non-vaccinated patients compared to vaccinated patients and the median duration of intubation was 8 days vs 2 days, respectively (p value 0.027). In subgroup analysis, the P/F ratio was significantly higher in patients who received two doses of vaccine compared to single dose (p value <0.002).

Conclusion

In critically ill COVID-19 patients, the vaccinated group has significantly less need for Non-invasive ventilation, fewer intubation days and less hypoxia compared to non-vaccinated patients. We recommend more policies and public education nationwide and worldwide to encourage vaccination and raise awareness of the general population.

Probiotics improve symptoms of patients with COVID-19 through gut-lung axis: a systematic review and meta-analysis

Background

Multi system symptoms such as gastrointestinal tract and respiratory tract exist in coronavirus disease 2019 (COVID-19) patients. There is a lack of reliable evidence to prove that probiotics are effective in improving these symptoms. In this study, we aimed to evaluate the efficacy of probiotics in meta-analysis.

Methods

We systematically searched PubMed, Embase, Web of Science, and Cochrane Library up to February 15, 2023. Randomized controlled trials or high quality retrospective studies comparing the efficacy of probiotics as supplementation with non-probiotics in improving symptoms for patients with COVID-19 were included. This meta-analysis assessed endpoints using Review Manager 5.3.

Result

Ten citations comprising 1198 patients with COVID-19 were included. The results showed that probiotics could increase the number of people with overall symptom improvement (RR = 1.62, 95% CI [1.10, 2.38], P = 0.01) and shorten the duration (days) of overall symptoms (MD = -1.26, 95% CI [-2.36, -0.16], P = 0.02). For the duration (days) of specific symptoms, probiotics could improve diarrhea (MD = -2.12, 95% CI [-2.41, -1.83], P < 0.00001), cough (MD = -2.21, 95% CI [-4.56, 0.13], P = 0.06) and shortness of breath (MD = -1.37, 95% CI [-2.22, -0.53], P = 0.001). Probiotics had no obvious effect on fever, headache and weakness. For inflammation, probiotics could effectively reduce C-reactive Protein (CRP) serum level (mg/L) (MD = -4.03, 95% CI [-5.12, -2.93], P < 0.00001). Regarding hospital stay (days), probiotics group was shorter than non-probiotics group (MD = -0.98, 95% CI [-1.95, -0.01], P = 0.05).

Conclusion

To some extent probiotics could improve the overall symptoms, inflammatory reaction and shorten hospital stay of patients with COVID-19. Probiotics may improve gastrointestinal symptoms (such as improving intestinal flora and reducing the duration of diarrhea) and further improve respiratory symptoms through the gut-lung axis.

Systematic review registration

https://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=398309, identifier: CRD42023398309.

Impact of hyperchloremia on inflammatory markers, serum creatinine, hemoglobin, and outcome in critically ill patients with COVID-19 infection

Hyperchloremia has negative consequences, such as increased proinflammatory mediators, renal dysfunction, and mortality in patients with septic shock. However, data on the effects of hyperchloremia on COVID-19 infections are scarce. The study aimed to investigate the effects of hyperchloremia on inflammatory markers, serum creatinine, hemoglobin levels, and outcomes in critically ill COVID-19 patients. A retrospective review of all adult patients admitted to the ICU at King Fahd University Hospital with a moderate to severe COVID-19 infection from January 2020 to August 2021 was performed. Serum chloride levels, ferritin, lactate dehydrogenase (LDH), C-reactive protein (CRP), creatinine, and hemoglobin levels were collected on the first and third days of ICU admission. Demographic data, oxygen support modality, ICU length of stay (ICU LOS), renal replacement therapy (RRT), and deaths were collected. Of 420 patients, 255 were included; 97 (38%) had hyperchloremia, while 158 (62%) did not. Hyperchloremic patients had a higher percentage of increases in ferritin (54.6%), CRP (6.2%), and LDH (15.5%) between the first and third days of admission, compared to non-hyperchloremic patients (43.7%, 6.3%, and 5.7%, respectively). The decrease in hemoglobin levels was similar in both groups (p=0.103). There was a significant association between hyperchloremia and an increase in serum creatinine (p<0.0001). Sixty-six (68%) patients required endotracheal intubation in the hyperchloremic group (p=0.003). The mortality rate was significant in the hyperchloremic cohort (p=<0.0001). Hyperchloremia was significantly associated with increased risks of kidney injury, endotracheal intubation, and death. However, hyperchloremia was not associated with increased ferritin, CRP, or hemoglobin decreases in critically ill COVID-19 patients.

Serum KL-6 levels predict clinical outcomes and are associated with MUC1 polymorphism in Japanese patients with COVID-19

BACKGROUND

Krebs von den Lungen-6 (KL-6) is a known biomarker for diagnosis and monitoring of interstitial lung diseases. However, the role of serum KL-6 and the mucin 1 (MUC1) variant (rs4072037) in COVID-19 outcomes remains to be elucidated. We aimed to evaluate the relationships among serum KL-6 levels, critical outcomes and the MUC1 variant in Japanese patients with COVID-19.

METHODS

This is a secondary analysis of a multicentre retrospective study using data from the Japan COVID-19 Task Force collected from February 2020 to November 2021, including 2226 patients with COVID-19 whose serum KL-6 levels were measured. An optimal serum KL-6 level cut-off to predict critical outcomes was determined and used for multivariable logistic regression analysis. Furthermore, the relationship among the allele dosage of the MUC1 variant, calculated from single nucleotide polymorphism typing data of genome-wide association studies using the imputation method, serum KL-6 levels and COVID-19 critical outcomes was evaluated.

RESULTS

Serum KL-6 levels were significantly higher in patients with COVID-19 with critical outcomes (511±442 U/mL) than those without (279±204 U/mL) (p<0.001). Serum KL-6 levels ≥304 U/mL independently predicted critical outcomes (adjusted OR (aOR) 3.47, 95% CI 2.44 to 4.95). Moreover, multivariable logistic regression analysis with age and sex indicated that the MUC1 variant was independently associated with increased serum KL-6 levels (aOR 0.24, 95% CI 0.28 to 0.32) but not significantly associated with critical outcomes (aOR 1.11, 95% CI 0.80 to 1.54).

CONCLUSION

Serum KL-6 levels predicted critical outcomes in Japanese patients with COVID-19 and were associated with the MUC1 variant. Therefore, serum KL-6 level is a potentially useful biomarker of critical COVID-19 outcomes.

Cross-sectional study to describe the severity, bio-chemical associations, and final outcomes of COVID-19-associated rhino-orbital-cerebral mucormycosis in a tertiary hospital of East India

Purpose

The second wave of coronavirus disease 2019 (COVID-19) pandemic triggered a mucormycosis epidemic in India. Diabetes mellitus and dysregulated immune response were contributors, and rhino-orbital-cerebral mucormycosis (ROCM) was the most common presentation. It is however not known whether bio-chemical parameters at presentation correlate with stage of ROCM or final outcome in terms of vision or mortality.

Methods

This retrospective, hospital-based study included all in-patients of mucormycosis with ophthalmic manifestations at presentation admitted during June 1, 2021 to August 31, 2021. It aimed to evaluate the association between severity of infection, serum levels of HbA1c, ferritin, interleukin-6 (IL-6), C-reactive protein (CRP), and D-dimer levels at presentation and outcome.

Results

There were altogether 47 eligible cases having a mean age of 48.8 ± 10.9 years with a male:female ratio of 2.6:1; forty-two (89.4%) had pre-existing diabetes, and five (10.6%) had steroid-induced hyperglycemia. The mean HbA1c among diabetics was 9.7 ± 2.1. HbA1c and serum CRP showed an increase over subsequent stages, which was not statistically significant (P = 0.31). IL-6 values for all stages were similar (P = 0.97). Only serum ferritin levels showed a statistically significant increase over stages (P = 0.04). IL-6 was significantly lower (P = 0.03) in patients who survived, whereas CRP levels were significantly lower in patients who had final visual acuity (VA) better than only perception of light (P = 0.03).

Conclusion

Uncontrolled diabetes mellitus is a significant association of ROCM. Serum ferritin levels at presentation best correlate with extent of the disease. CRP levels are best to prognosticate cases that will have sufficient VA to carry on activities of daily living, whereas IL-6 levels are best associated with survival.

Risk Factors Related to the Death of Admitted COVID-19 Patients: A Buffalo Study

Background

Coronavirus disease 2019 (COVID-19) may result in a severe acute respiratory syndrome that leads to a worldwide pandemic. Despite the increasing understanding of COVID-19 disease, the mortality rate of hospitalized COVID-19 patients remains high.

Objective

To investigate the risk factors related to the mortality of admitted COVID-19 patients during the peak of the epidemic from August 2021 to October 2021 in Vietnam.

Methods

This is a prospective cohort study performed at the Hospital for Rehabilitation-Professional diseases. The baseline and demographic data, medical history, clinical examination, the laboratory results were recorded for patients admitted to the hospital with confirmed COVID-19. A radiologist and a pulmonologist will read the chest radiographs on admission and calculate the Brixia scores to classify the severity of lung abnormalities. Patients were followed up until beingrecovered or their death. Comparison of clinical and subclinical characteristics between recovery and death groups to find out risk factors related to the death of COVID-19 patients.

Results

Among 104 admitted COVID-19 patients, men accounted for 42.3%, average age of 61.7 ± 13.7. The most common symptoms were fever 76.9%, breathlessness 74%, and fatigue 53.8%. The majority (84.6%) of the study population had at least one co-morbidity, including hypertension (53.8%), diabetes (25.9%), gastritis (19.2%), ischemic heart disease (15.4) %), stroke (9.6%) and osteoarthritis (9.6%). The rate of mild and moderate COVID-19 is 13.4%, severe 32.7%, and critical 40.4%. There are 88 inpatients (84.6%) who needed respiratory support. The median hospital stay was 13 days (IQR 10-17.75 days). The rate of intubated patients with mechanical ventilation was 31.7%. The overall mortality rate was 29.8%. Risk factors related to death included Brixia scores > 9, Urea > 7 mmol/L, Ferrtin > 578 ng/ml, Failure to get vaccinated, Age > 60 years, and Low Oxygen SpO2 < 87% (BUFFALO).

Conclusion

The main result of the study is the independent risk factors related to the death of admitted COVID-19 patients including Brixia scores > 9, Urea > 7 mmol/L, Ferrtin > 578 ng/ml, Failure to get vaccinated, Age > 60 years, and Low Oxygen SpO2 < 87% ((BUFFALO) which suggests that these COVID-19 patients should be closely followed up.

Modified SCOPE (mSCOPE) Score as a Tool to Predict Mortality in COVID-19 Critically Ill Patients

Introduction: Efficient clinical scores predicting the outcome of severe COVID-19 pneumonia may play a pivotal role in patients’ management. The aim of this study was to assess the modified Severe COvid Prediction Estimate score (mSCOPE) index as a predictor of mortality in patients admitted to the ICU due to severe COVID-19 pneumonia. Materials and methods: In this retrospective observational study, 268 critically ill COVID-19 patients were included. Demographic and laboratory characteristics, comorbidities, disease severity, and outcome were retrieved from the electronical medical files. The mSCOPE was also calculated. Results: An amount of 70 (26.1%) of patients died in the ICU. These patients had higher mSCOPE score compared to patients who survived (p < 0.001). mSCOPE correlated to disease severity (p < 0.001) and to the number and severity of comorbidities (p < 0.001). Furthermore, mSCOPE significantly correlated with days on mechanical ventilation (p < 0.001) and days of ICU stay (p = 0.003). mSCOPE was found to be an independent predictor of mortality (HR:1.219, 95% CI: 1.010–1.471, p = 0.039), with a value ≥ 6 predicting poor outcome with a sensitivity (95%CI) 88.6%, specificity 29.7%, a positive predictive value of 31.5%, and a negative predictive value of 87.7%. Conclusion: mSCOPE score could be proved useful in patients’ risk stratification, guiding clinical interventions in patients with severe COVID-19.

Neurological damages in COVID-19 patients: Mechanisms and preventive interventions

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), a novel coronavirus, causes coronavirus disease 2019 (COVID-19) which led to neurological damage and increased mortality worldwide in its second and third waves. It is associated with systemic inflammation, myocardial infarction, neurological illness including ischemic strokes (e.g., cardiac and cerebral ischemia), and even death through multi-organ failure. At the early stage, the virus infects the lung epithelial cells and is slowly transmitted to the other organs including the gastrointestinal tract, blood vessels, kidneys, heart, and brain. The neurological effect of the virus is mainly due to hypoxia-driven reactive oxygen species (ROS) and generated cytokine storm. Internalization of SARS-CoV-2 triggers ROS production and modulation of the immunological cascade which ultimately initiates the hypercoagulable state and vascular thrombosis. Suppression of immunological machinery and inhibition of ROS play an important role in neurological disturbances. So, COVID-19 associated damage to the central nervous system, patients need special care to prevent multi-organ failure at later stages of disease progression. Here in this review, we are selectively discussing these issues and possible antioxidant-based prevention therapies for COVID-19-associated neurological damage that leads to multi-organ failure.

Mortality patterns among COVID‐19 patients in two Saudi hospitals: Demographics, etiology, and treatment

Background

Saudi Arabia (SA) reported its first case of COVID‐19 on 2 March 2020. Mortality varied nationwide; by April 14, 2020, Medina had 16% of SA's total COVID‐19 cases and 40% of all COVID‐19 deaths. A team of epidemiologists investigated to identify factors impacting survival.

Methods

We reviewed medical records from two hospitals: Hospital A in Medina and Hospital B in Dammam. All patients with a registered COVID‐related death between March and May 1, 2020, were included. We collected data on demographics, chronic health conditions, clinical presentation, and treatment. We analyzed data using SPSS.

Results

We identified 76 cases: 38 cases from each hospital. More fatalities were among non‐Saudis at Hospital A (89%) versus Hospital B (82%, p < 0.001). Hypertension prevalence was higher among cases at Hospital B (42%) versus Hospital A (21%) (p < 0.05). We found statistically significant differences (p < 0.05) in symptoms at initial presentation among cases at Hospital B versus Hospital A, including body temperature (38°C vs. 37°C), heart rate (104 bpm vs. 89 bpm), and regular breathing rhythms (61% vs. 55%). Fewer cases (50%) at Hospital A received heparin versus Hospital B (97%, p‐value < 0.001).

Conclusion

Patients who died typically presented with more severe illnesses and were more likely to have underlying health conditions. Migrant workers may be at increased risk due to poorer baseline health and reluctance to seek care. This highlights the importance of cross‐cultural outreach to prevent deaths. Health education efforts should be multilingual and accommodate all literacy levels.

Identification of two early blood biomarkers ACHE and CLEC12A for improved risk stratification of critically ill COVID-19 patients

In order to identify biomarkers for earlier prediction of COVID-19 outcome, we collected blood samples from patients with fatal outcomes (non-survivors) and with positive clinical outcomes (survivors) at ICU admission and after seven days. COVID-19 survivors and non-survivors showed significantly different transcript levels for 93 genes in whole blood already at ICU admission as revealed by RNA-Seq. These differences became even more pronounced at day 7, resulting in 290 differentially expressed genes. Many identified genes play a role in the differentiation of hematopoietic cells. For validation, we designed an RT-qPCR assay for C-type lectin domain family 12 member A (CLEC12A) and acetylcholinesterase (ACHE), two transcripts that showed highest potential to discriminate between survivors and non-survivors at both time points. Using our combined RT-qPCR assay we examined 33 samples to accurately predict patient survival with an AUROC curve of 0.931 (95% CI = 0.814-1.000) already at ICU admission. CLEC12A and ACHE showed improved prediction of patient outcomes compared to standard clinical biomarkers including CRP and PCT in combination (AUROC = 0.403, 95% CI = 0.108-0.697) or SOFA score (AUROC = 0.701 95% CI = 0.451-0.951) at day 0. Therefore, analyzing CLEC12A and ACHE gene expression from blood may provide a promising approach for early risk stratification of severely ill COVID-19 patients.