Death In COVID-19 Patients Research Articles

Non-vitamin K antagonist oral anticoagulants for COVID-19 thrombosis

Thrombotic complications appear to be a major predictor of death in COVID-19 patients, and multiple studies have shown that anticoagulants can help to improve the outcome. The Food and Drug Administration’s acceptance of non-vitamin K antagonist oral anticoagulants (NOACs) has sparked much excitement about their potential as a replacement for existing oral anticoagulants. NOACs target a single clotting factor, often activated factor X or thrombin, and involve the coagulation factor Xa inhibitors including apixaban, edoxaban, and rivaroxaban, and the thrombin inhibitor dabigatran. COVID-19 is an infectious disease that causes thrombotic events by inducing a pro-inflammatory and prothrombotic condition. This article provides a comprehensive overview of the mechanism behind enhanced thrombogenicity accompanying COVID-19, the clinical range of NOACs, and the role of NOACs in treatment of COVID-19 based on recent investigations and clinical trials.

Thyroidal Angiotensin-Converting Enzyme 2 Protein Expression and Thyroid Function Tests in Patients with COVID-19: Results from a Retrospective Case Series and a Prospective Cohort Study.

Background: Infection with SARS-CoV-2 has initially been known as a respiratory disease but in the course of the pandemic the understanding has emerged that severity is owing to fatal inflammatory responses apart from lung injury. In this context, endocrine disorders such as thyroiditis as well as pituitary dysfunction in addition to nonthyroidal illness syndrome have been described. Furthermore, angiotensin-converting enzyme 2 (ACE2), the SARS-CoV-2 cell receptor, has been detected in most endocrine tissues, including the thyroid gland. Objective: To evaluate histopathologic changes and compare thyroidal ACE2 protein expression in thyroid tissue from patients who died from severe COVID-19 with thyroid tissue from patients without SARS-CoV-2 infection in a retrospective case series. Furthermore, to assess and compare alterations in thyroid function tests (TFTs) between patients with or without SARS-CoV-2 infection as well as association of TFTs with the severity of the disease in a prospective cohort study. Methods: Thyroid tissue of deceased COVID-19 patients (n = 23) was analyzed for histopathology and ACE2 expression by immunohistochemical staining. A total of 153 patients with confirmed SARS-CoV-2 were evaluated regarding TFTs and divided into a severe (intubation, intensive care treatment) and an intermediate group. Results: Thyroidal ACE2 expression was detected in 87% of the deceased COVID-19 patients. Normal thyroid tissue from patients without SARS-CoV-2 infection showed no ACE2 protein expression. Half of the severely ill COVID-19 patients had low free triiodothyronine (fT3) levels. Combination of low fT3 and thyrotropin (TSH) was associated significantly with deadly disease. Conclusion: The high percentage of positive ACE2 immunostaining in deceased patients compared with normal thyroid tissue of patients without SARS-CoV-2 infection suggests involvement of the thyroid in COVID-19, although further research will have to show the pathogenic role of thyroidal ACE2 in COVID-19. Abnormal fT3 and a TSH of ≤0.5 mU/L were associated with a fatal outcome in our severely ill SARS-CoV-2 patient cohort. Therefore, assessment of TFTs is crucial in the treatment of severely ill COVID-19 patients. Trial Registration: COVID-19 Registry of the LMU University Hospital Munich (CORKUM), WHO trial ID DRKS00021225.

Detection of Risk Predictors of COVID-19 Mortality with Classifier Machine Learning Models Operated with Routine Laboratory Biomarkers

Early evaluation of patients who require special care and who have high death-expectancy in COVID-19, and the effective determination of relevant biomarkers on large sample-groups are important to reduce mortality. This study aimed to reveal the routine blood-value predictors of COVID-19 mortality and to determine the lethal-risk levels of these predictors during the disease process. The dataset of the study consists of 38 routine blood-values of 2597 patients who died (n = 233) and those who recovered (n = 2364) from COVID-19 in August–December, 2021. In this study, the histogram-based gradient-boosting (HGB) model was the most successful machine-learning classifier in detecting living and deceased COVID-19 patients (with squared F1 metrics F12 = 1). The most efficient binary combinations with procalcitonin were obtained with D-dimer, ESR, D-Bil and ferritin. The HGB model operated with these feature pairs correctly detected almost all of the patients who survived and those who died (precision > 0.98, recall > 0.98, F12 > 0.98). Furthermore, in the HGB model operated with a single feature, the most efficient features were procalcitonin (F12 = 0.96) and ferritin (F12 = 0.91). In addition, according to the two-threshold approach, ferritin values between 376.2 μg/L and 396.0 μg/L (F12 = 0.91) and procalcitonin values between 0.2 μg/L and 5.2 μg/L (F12 = 0.95) were found to be fatal risk levels for COVID-19. Considering all the results, we suggest that many features combined with these features, especially procalcitonin and ferritin, operated with the HGB model, can be used to achieve very successful results in the classification of those who live, and those who die from COVID-19. Moreover, we strongly recommend that clinicians consider the critical levels we have found for procalcitonin and ferritin properties, to reduce the lethality of the COVID-19 disease.

Radiograph Feature in COVID-19 Patients With Diabetes Mellitus At Dr. Soetomo Hospital Surabaya

Objectives : COVID-19 disease causes considerable morbidity and mortality. Older age and the presence of diabetes mellitus, hypertension and obesity significantly increase the risk of hospitalization and death in COVID-19 patients. COVID-19 patients with other comorbidities such as diabetes are at higher risk of developing severe pneumonia. Several studies have shown a higher susceptibility to several infectious diseases in people with diabetes, possibly due to an unregulated immune system. Plasma glucose levels and diabetes are independent predictors of mortality and morbidity in patients with SARS. Chest X-ray imaging plays an important role in both assessment of disease extent and follow-up, by knowing the pattern of chest radiography in patients with COVID-19 with Diabetes Mellitus, a radiologist can assist clinicians in predicting the progression of chest radiography in relation to blood glucose levels in patients. Method : A descriptive study with a retrospective design was conducted on 134 patients with confirmed COVID-19 and diabetes mellitus who were admitted to Dr. Soetomo General Academic Hospital in 2020. Data on chest radiography and random blood glucose levels were obtained during the first 24 hours of treatment. We evaluated the lung disease based on features, distribution and location. Result : The gender of COVID-19 patients who had the most Diabetes Mellitus was male (55.2%) with the highest age group being more than 50 years (70.8%) with the highest random glucose levels > 200 mg/dl (64.9%). The most radiographic features in COVID-19 patients with Diabetes Mellitus were consolidation/alveolar infiltrate both in patients with glucose level > 200 mg/dl (64.9%) or < 200 mg/dl (35.1%), with the most peripheral distribution (97,8%) and the most locations being a combination of the upper-middle-lower zone at right lung (81,3%) and left lung (70,9%) Conclusion: Radiograph feature of COVID-19 patients with Diabetes Mellitus both in patients with glucose level > 200 mg/dl and < 200 mg/dl were mostly consolidation/alveolar infiltrate, with the most peripheral distribution and the most locations being a combination of the upper-middle-lower zone.

Proteomic Analysis of Pleural Effusions from COVID-19 Deceased Patients: Enhanced Inflammatory Markers.

Critically ill COVID-19 patients with pleural effusion experience longer hospitalization, multisystem inflammatory syndrome, and higher rates of mortality. Generally, pleural effusion can serve as a diagnostic value to differentiate cytokine levels. This study aimed to evaluate the pleural effusions of COVID-19 deceased patients for 182 protein markers. Olink® Inflammation and Organ Damage panels were used to determine the level of 184 protein markers, e.g., ADA, BTC, CA12, CAPG, CD40, CDCP1, CXCL9, ENTPD2, Flt3L, IL-6, IL-8, LRP1, OSM, PD-L1, PTN, STX8, and VEGFA, which were raised significantly in COVID-19 deceased patients, showing over-stimulation of the immune system and ravaging cytokine storm. The rises of DPP6 and EDIL3 also indicate damage caused to arterial and cardiovascular organs. Overall, this study confirms the elevated levels of CA12, CD40, IL-6, IL-8, PD-L1, and VEGFA, proposing their potential either as biomarkers for the severity and prognosis of the disease or as targets for therapy. Particularly, this study reports upregulated ADA, BTC, DPP6, EDIL3, LIF, ENTPD2, Flt3L, and LRP1 in severe COVID-19 patients for the first time. Pearson's correlation coefficient analysis indicates the involvement of JAK/STAT pathways as a core regulator of hyperinflammation in deceased COVID-19 patients, suggesting the application of JAK inhibitors as a potential efficient treatment.

Anatomical barriers against SARS-CoV-2 neuroinvasion at vulnerable interfaces visualized in deceased COVID-19 patients

Can SARS-CoV-2 hitchhike on the olfactory projection and take a direct and short route from the nose into the brain? We reasoned that the neurotropic or neuroinvasive capacity of the virus, if it exists, should be most easily detectable in individuals who died in an acute phase of the infection. Here, we applied a postmortem bedside surgical procedure for the rapid procurement of tissue, blood, and cerebrospinal fluid samples from deceased COVID-19 patients infected with the Delta, Omicron BA.1, or Omicron BA.2 variants. Confocal imaging of sections stained with fluorescence RNAscope and immunohistochemistry afforded the light-microscopic visualization of extracellular SARS-CoV-2 virions in tissues. We failed to find evidence for viral invasion of the parenchyma of the olfactory bulb and the frontal lobe of the brain. Instead, we identified anatomical barriers at vulnerable interfaces, exemplified by perineurial olfactory nerve fibroblasts enwrapping olfactory axon fascicles in the lamina propria of the olfactory mucosa.

NOX2 and NOX5 are increased in cardiac microvascular endothelium of deceased COVID-19 patients

BackgroundCardiac injury and inflammation are common findings in COVID-19 patients. Autopsy studies have revealed cardiac microvascular endothelial damage and thrombosis in COVID-19 patients, indicative of microvascular dysfunction in which reactive oxygen species (ROS) may play a role. We explored whether the ROS producing proteins NOX2, NOX4 and NOX5 are involved in COVID-19-induced cardio-microvascular endothelial dysfunction. MethodsHeart tissue were taken from the left (LV) and right (RV) ventricle of COVID-19 patients (n = 15) and the LV of controls (n = 14) at autopsy. The NOX2-, NOX4-, NOX5- and Nitrotyrosine (NT)-positive intramyocardial blood vessels fractions were quantitatively analyzed using immunohistochemistry. ResultsThe LV NOX2+, NOX5+ and NT+ blood vessels fractions in COVID-19 patients were significantly higher than in controls. The fraction of NOX4+ blood vessels in COVID-19 patients was comparable with controls. In COVID-19 patients, the fractions of NOX2+, NOX5+ and NT+ vessels did not differ significantly between the LV and RV, and correlated positively between LV and RV in case of NOX5 (r = 0.710; p = 0.006). A negative correlation between NOX5 and NOX2 (r = −0.591; p = 0.029) and between NOX5 and disease time (r = −0.576; p = 0.034) was noted in the LV of COVID-19 patients. ConclusionWe show the induction of NOX2 and NOX5 in the cardiac microvascular endothelium in COVID-19 patients, which may contribute to the previously observed cardio-microvascular dysfunction in COVID-19 patients. The exact roles of these NOXes in pathogenesis of COVID-19 however remain to be elucidated.

C-reactive protein-to-lymphocyte ratio is a reliable marker in patients with COVID-19 infection: the CLEAR COVID study.

COVID-19 infection is characterized with elevation of inflammatory markers in bloodstream. A novel inflammatory marker, C-reactive protein (CRP)-to-lymphocyte ratio (CLR), is suggested to be associated with inflammation. We aimed to compare the CLR values of the deceased COVID-19 patients to the CLR of survived subjects. The patients with COVID-19 whom presented to outpatient or inpatient clinics of AbantIzzet Baysal University Hospital were enrolled to the present retrospective study. Subjects were grouped as either deceased or survived. CLR values of the groups were compared. Study cohort was consisted of 568 subjects in deceased and 4753 patients in survived group. Median CLR of the deceased and survived groups were 90 (0.2-1679)% and 11 (0.2-1062)%, respectively (p < 0.001). The sensitivity (75%) and specificity (70%) of CLR (> 23.4% level) in detecting mortality were higher than those of CRP and ferritin (AUC 0.80, p < 0.001, 95% CI 0.78-0.82). We suggest that elevated CLR levels in COVID-19 patients on admission should alert physicians for poor outcome.

Assessment of Predictors of Mortality in COVID-19 Patients Treated with Tocilizumab

Background: A hypersensitivity condition called cytokine storm is the main cause of death in COVID-19 patients. A monoclonal antibody called tocilizumab may be able to suppress the Interleukin-6 receptors (IL-6R) and lessen the likelihood that the body would have a hypersensitive immune response. Aim: To evaluate the mortality advantages of tocilizumab in individuals with COVID-19. Study design: Retrospective study. Place and duration of study: Bahria Town International Hospital Lahore from 16th June 2020 to 17th September 2021. Methodology: Patients with 96 confirmed instances of COVID-19 were enrolled. Two groups of patients were created. A single dosage of tocilizumab was administered to 52 participants in the first group, referred to as the survivors, and 44 patients in the second group, who passed away within 14 days. From the patients' medical records, the demographic information, co-morbid conditions, and laboratory values were obtained. The hospital's institutional review board and ethics committee (IRBEC) gave its approval for this study. The permission was ignored because this was a retroactive analysis. Results: 54.24 16.58 was the average age, and 54 (56.25%) of the population were men. 52 (54.16%) patients were survivors, compared to 44(45.83%) patients in the non-survivor group. In non-survivors compared to survivors, the older age group was shown to be statistically significant (62.78±12.86 vs. 51.65±11.68, p=0.003). Additionally, non-survivors had a greater BMI (p=0.006). In our study, hypertension and diabetes were the two co-morbid conditions that were most frequently detected (35.24% and 28.94%, respectively). The mortality rates among patients with diabetes, asthma, COPD, and cancer were all considerably higher (P=0.01, 0.006, and 0.004, respectively). Cancer and type-2 diabetes patients had death rates that were considerably higher (p=0.05 and p=0.01, respectively). C-reactive protein (CRP), D. Dimer, procalcitonin (PCT), and IL-6 were discovered to be the significant predictors of mortality (p 0.0001, 0.05, 0.001, and 0.004 respectively). Conclusion: Even though tocilizumab is authorised and has been shown to have positive results, people with diabetes, COPD, and asthma are more likely to experience negative results even after getting a single dosage of the medication. Similar to CRP, D. Dimer levels are reliable indicators of death. Keywords: Tocilizumab, Motility predictors, Co-morbid conditions, COVD-19, Procalcitonin, D. Dimer

Use of chronic medications and risk of death due to COVID-19 in hospitalised patients

ObjectivesTo evaluate the potential association between chronic exposure to medication and death related to COVID-19.MethodsThis is a retrospective cross-sectional study that included all patients hospitalised due to COVID-19 from 11...

Renoprotective Effects of Luteolin: Therapeutic Potential for COVID-19-Associated Acute Kidney Injuries.

Acute kidney injury (AKI) has been increasingly reported in critically-ill COVID-19 patients. Moreover, there was significant positive correlation between COVID-19 deaths and renal disorders in hospitalized COVID-19 patients with underlying comorbidities who required renal replacement therapy. It has suggested that death in COVID-19 patients with AKI is 3-fold higher than in COVID-19 patients without AKI. The pathophysiology of COVID-19-associated AKI could be attributed to unspecific mechanisms, as well as COVID-19-specific mechanisms such as direct cellular injury, an imbalanced renin-angiotensin-aldosterone system, pro-inflammatory cytokines elicited by the viral infection and thrombotic events. To date, there is no specific treatment for COVID-19 and its associated AKI. Luteolin is a natural compound with multiple pharmacological activities, including anticoronavirus, as well as renoprotective activities against kidney injury induced by sepsis, renal ischemia and diverse nephrotoxic agents. Therefore, in this review, we mechanistically discuss the anti-SARS-CoV-2 and renoprotective activities of luteolin, which highlight its therapeutic potential in COVID-19-AKI patients.

The association of chronic liver disorders with exacerbation of symptoms and complications related to COVID-19: A systematic review and meta-analysis of cohort studies.

The aim of this review was to combine the results of published cohort studies to determine the exact association between chronic liver disorders, and the severe form of COVID-19, and its associated complications. This meta-analysis employed a keyword search (COVID-19 and chronic liver disorders) using PubMed (Medline), Scopus, Web of Sciences, and Embase (Elsevier). All articles related from January 2019 to May 2022 were reviewed. The STATA software was used for analysis. The risk of death in COVID-19 patients with chronic liver disorders was higher than in ones without the chronic liver disease (RR: 1.52; CI 95%: 1.46-1.57; I2 : 86.14%). Also, the risk of acute respiratory distress syndrome (ARDS) and hospitalization in COVID-19 patients with chronic liver disorders was higher than in ones without the chronic liver disease ([RR: 1.65; CI 95%: 1.09-2.50; I2 : 0.00%] and [RR: 1.39; CI 95%: 1.23-1.58; I2 : 0.20%]). Also, the meta-analysis showed cough, headache, myalgia, nausea, diarrhea, and fatigue were 1.37 (CI 95%: 1.20-1.55), 1.23 (CI 95%: 1.09-1.38), 1.25 (CI 95%: 1.04-1.50), 1.19 (CI 95%: 1.02-1.40), 1.89 (CI 95%: 1.30-2.75), 1.49 (CI 95%: 1.07-2.09), and 1.14 (CI 95%: 0.98-1.33), respectively, whereas the risk of all these symptoms was higher in COVID-19 patients with chronic liver diseases than ones without chronic liver disorders. The mortality and complications due to COVID-19 were significantly different between patients with the chronic liver disease and the general population.

Mortality Risk in COVID-19 Patients with HIV-Comorbidity: Meta-Analysis

Background: Coronavirus disease 2019 or known as COVID-19 is a disease caused by severe acute respiratory coronavirus 2 (SARS-CoV-2). Comorbidities that are risk factors for COVID-19 death include hypertension, diabetes, heart disease, COPD, HIV (Human Immunodeficiency Virus), kidney failure, and cancer. This study aims to estimate the magnitude of the risk of death in COVID-19 patients with comorbid HIV, with a meta-analysis of the primary studies conducted by the previous authors.Subjects and Method: This study is a systematic review and meta-analysis with the following PICO, population: COVID-19 patients. Intervention: HIV comorbidity. Comparison: without co-morbid HIV. Outcome: Mortality. The articles used in this study were obtained from four databases, namely PubMed, Google Scholar, Springerlink, and Science direct, using the search keys "HIV/AIDS" AND "Mortality" OR "death" AND "COVID-19 OR SARS-CoV-2. The included article is a full-text English language with a cohort study design from 2020 to 2021 and reports the adjusted Odds Ratio (aOR) in a multivariate analysis. Article selection is done by using PRISMA flow diagram. Articles were analyzed using the Review Manager 5.3 application.Results: A total of 9 cohort studies involving 3,397,186 COVID-19 patients from America, Europe, and Africa were selected for a systematic review and meta-analysis. The data collected showed that COVID-19 patients with HIV comorbidities had a mortality risk of 3.30 times compared to COVID-19 patients without HIV comorbidities (aOR = 3.30; 95% CI = 2.87 to 3.81; p&lt;0.001).Conclusion: HIV increases mortality risk in COVID-19 patients. Keywords: HIV, COVID-19, SARS-CoV-2, mortality Correspondence:Nindita Arum Veibiani. Masters Program in Public Health, Universitas Sebelas Maret, Jl. Ir. Sutami 36A, Surakarta 57126, Central Java. Email: nindita.veibiani@gmail.com. Mobile: 085800216969.

Nasopharyngeal microbiome of COVID-19 patients revealed a distinct bacterial profile in deceased and recovered individuals

The bacterial co-infections in SARS-CoV-2 patients remained the least explored subject of clinical manifestations that may also determine the disease severity. Nasopharyngeal microbial community structure within SARS-CoV-2 infected patients could reveal interesting microbiome dynamics that may influence the disease outcomes. Here, in this research study, we analyzed distinct nasopharyngeal microbiome profile in the deceased (n = 48) and recovered (n = 29) COVID-19 patients and compared it with control SARS-CoV-2 negative individuals (control) (n = 33). The nasal microbiome composition of the three groups varies significantly (PERMANOVA, p-value <0.001), where deceased patients showed higher species richness compared to the recovered and control groups. Pathogenic genera, including Corynebacterium (LDA score 5.51), Staphylococcus, Serratia, Klebsiella and their corresponding species were determined as biomarkers (p-value <0.05, LDA cutoff 4.0) in the deceased COVID-19 patients. Ochrobactrum (LDA score 5.79), and Burkholderia (LDA 5.29), were found in the recovered group which harbors ordinal bacteria (p-value <0.05, LDA-4.0) as biomarkers. Similarly, Pseudomonas (LDA score 6.19), and several healthy nasal cavity commensals including Veillonella, and Porphyromonas, were biomarkers for the control individuals. Healthy commensal bacteria may trigger the immune response and alter the viral infection susceptibility and thus, may play important role and possible recovery that needs to be further explored. This research finding provide vital information and have significant implications for understanding the microbial diversity of COVID-19 patients. However, additional studies are needed to address the microbiome-based therapeutics and diagnostics interventions.

Lipidomics Revealed Plasma Phospholipid Profile Differences between Deceased and Recovered COVID-19 Patients.

Thorough understanding of metabolic changes, including lipidome alteration, associated with the development of COVID-19 appears to be crucial, as new types of coronaviruses are still reported. In this study, we analyzed the differences in the plasma phospholipid profiles of the deceased COVID-19 patients, those who recovered and healthy people. Due to identified abnormalities in plasma phospholipid profiles, deceased patients were further divided into two subgroups (D1 and D2). Increased levels of phosphatidylethanolamines (PE), phosphatidylcholines (PC) and phosphatidylserines (PS) were found in the plasma of recovered patients and the majority of deceased patients (first subgroup D1) compared to the control group. However, abundances of all relevant PE, PC and PS species decreased dramatically in the plasma of the second subgroup (D2) of five deceased patients. These patients also had significantly decreased plasma COX-2 activity when compared to the control, in contrast to unchanged and increased COX-2 activity in the plasma of the other deceased patients and recovered patients, respectively. Moreover, these five deceased patients were characterized by abnormally low CRP levels and tremendous increase in LDH levels, which may be the result of other pathophysiological disorders, including disorders of the immune system, liver damage and haemolytic anemia. In addition, an observed trend to decrease the autoantibodies against oxidative modifications of low-density lipoprotein (oLAb) titer in all, especially in deceased patients, indicate systemic oxidative stress and altered immune system that may have prognostic value in COVID-19.

The Role of Secondary Infections and Underlying Diseases in the Mortality of Patients with COVID-19

Background: Coronavirus disease (COVID-19) caused by coronavirus is a respiratory infection, that has spread worldwide in the past few months. Considering the necessity and importance of the COVID-19 pandemic, determining the importance of the secondary infection of COVID-19 patients and the death of these patients is one of the main issues considered in the study. Common bacterial infections are often found in viral respiratory infections and are major causes of death. This study investigated the cause of death from COVID-19 within a year. Methods: In this cross-sectional study from March 2020 and March 2021, 1600 patients with secondary infection were enrolled based on their characteristics, symptoms and signs, laboratory data and presence of other underlying diseases. Chi-square test analysis were used to check the effectiveness of other comorbidities on the mortality outcome among patients with COVID 19. Results: Of the 1,600 COVID 19 patients with secondary infection who have died, 900 (56.25%) had underlying diseases, such as 380 (42.22%) with COPD, 80 (8.89%) with cardiovascular disease and hypertension, 25 (2.78%) with Obesity and smoking, 265 (29.44%) with age over 60 years, 150 (16.67%) with diabetes. 700 (43.75%) patients had no underlying disease. Conclusion: The most important causes of death in COVID-19 patients were secondary infections caused by important nosocomial bacteria. High mortality rates in COVID-19 patients indicate the importance of secondary infections.

Which Body Composition Parameters on Computed Tomography Are More Successful in Predicting the Prognosis of COVID-19 Patients?

The aims of the study are to compare the body composition parameters (BCPs), which have been reported to have a prognostic impact, in COVID-19 patients, and to determine the most influential BCP(s) on the prognosis. Unenhanced chest computed tomography examinations of COVID-19 cases were assessed regarding the severity of pneumonia, pectoralis muscle area and density (PMA, PMD), visceral adipose tissue area (VAA), waist circumference, waist to paravertebral muscle circumference ratio, coronary artery calcification severity, and paravertebral muscle area at the T5 vertebral level. A second observer repeated measurements and an intraclass correlation coefficient score were used for interobserver agreement. The relationship between data and patient outcomes (intubation, death) was investigated using multivariable logistic regression analysis. The area under the receiver operating characteristic curve (AUC) was used to evaluate the performance of BCPs in predicting outcomes. A total of 238 (121 males, median age, 48 years [interquartile range, 36-63 years]) consecutive COVID-19 patients with chest computed tomography were investigated. Twenty-four patients (10.08%) were intubated, and 15 patients (6.3%) died during at least 1 month of follow-up. Waist to paravertebral muscle circumference ratio, PMA, PMD, and T5 vertebral level were significantly associated with intubation in the multivariable analysis. Pectoralis muscle density and PMA were significantly associated with death. Pectoralis muscle density showed the highest AUC for the prediction of intubation and death (AUC of 0.814 and 0.871, respectively). There was a good to excellent agreement between observers (intraclass correlation coefficient range, 0.899-0.998). Pectoralis muscle density is the most influential BCP in predicting intubation and death in COVID-19 patients.

Effects of COVID-19 infection on ECG parameters in outpatients

Abstract Objective Covid-19 infection has been declared as a pandemic disease by the World Health Organization (WHO) and has been associated with increased morbidity and mortality. More than 400 million people diagnosed with the disease has been reported until February 2022 [1]. Covid-19 infection mostly progresses with lung involvement and pneumonia, however, its effects on the cardiovascular system are also well-known. Studies have reported that Covid 19 infection can trigger cardiac events such as acute myocardial damage, acute myocarditis, acute coronary syndrome (ACS), ventricular arrhythmias, cardiogenic shock, and cardiac arrest [2]. Electrocardiogram (ECG) is an important tool to diagnose cardiac involvement. QTc interval, QT dispersion, Tp-e interval, Tp-e/QTc ratio are defined as ventricular repolarization parameters and these parameters are associated with increased risk of ventricular arrhythmia [3,4]. In our study, we aimed to evaluate to predict ventricular arrhythmia by ECG in Covid-19 patients. Methods Our study is a single-center, cross-sectional study. Patients diagnosed with Covid-19 in our center between July and October 2020 were included. 408 patients with positive SARS-CoV2 PCR test were detected and the ECGs of the patients were recorded at admission and 15 days after symptomatic recovery. After the exclusion criteria, remained 91 patients were analyzed. Conduction parameters (PR and QRS durations) and repolarization parameters (QTc interval, QT dispersion, Tp-e interval and Tp-e/QTc ratio) were evaluated in 12-lead ECG recordings. Results Ninety-one patients with Covid-19 infection were included. The group were consisted of 47 male (52%) and 44 female (48%). The mean age was 50.4 years. As a result of the statistical analysis, no significant difference was observed between the groups in terms of PR interval (142.2±21.4 ms vs. 140.1±19.0 ms; p=0.312). QRS duration was found significantly higher during active infection (91.4±12.2 ms vs. 88.8±10.9 ms; p=0.022). The mean QTc duration was detected longer in the first ECG, but no statistically significant difference was observed between the two groups (426.1±23.6 ms vs. 422.5±26.2 ms; p=0.237). QT dispersion (35.2±7.3 ms vs. 27.7±7.8 ms; p&amp;lt;0.001), Tp-e interval (86.7±10.1 ms vs. 76.1±9.9 ms; p&amp;lt;0.001) and Tp-e/QTc ratio (0.204±0.026 vs 0.180±0.025; p&amp;lt;0.001) were found significantly higher during active infection Conclusion In our study, QRS complex, QT dispersion, Tp-e interval, Tp-e/QTc ratio were significantly higher during active infection. We considered these parameters as a contributor of the increased mortality by inducing ventricular arrhythmia and sudden death in Covid-19 patients during active infection. Funding Acknowledgement Type of funding sources: None.

On-Admission Anemia and Survival Rate in COVID-19 Patients

Anemia often worsens the severity of respiratory illnesses, and few studies have so far elucidated the impact of anemia on COVID-19 infection. This study aimed to evaluate the effect of anemia at admission on the overall survival of COVID-19 patients using accelerated failure time (AFT) models.This registry-based, single-center retrospective cohort study was conducted in a university hospital in Ilam, the southwest of Iran, between March 2020 and September 2021. AFT models were applied to set the data of 2,441 COVID-19 patients. Performance of AFT models was assessed using Akaike’s information criterion (AIC) and Cox-Snell residual. On-admission anemia was defined as hemoglobin (Hb) concentration <120 g/l in men, <110 g/l in women, and <100 g/l in pregnant women.The median in-hospital survival times for anemic and non-anemic patients were 27 and 31 days, respectively. Based on the AIC and Cox-Snell residual graph, the Weibull model had the lowest AIC and it was the best fitted model to the data set among AFT models. In the adjusted model, the results of the Weibull model suggested that the anemia (adjusted time ratio: 1.04; 95% CI: 1.00-1.08; p = 0.03) was the accelerated factor for progression to death in COVID-19 patients. Each unit of increase in hemoglobin in COVID-19 patients enhanced the survival rate by 4%.Anemia is an independent risk factor associated with the risk of mortality from COVID-19 infection. Therefore, healthcare professionals should be more sensitive to the Hb level of COVID-19 patients upon admission.

Cardiac Biomarkers and Risk Scores in Relation with History of Atherosclerotic Cardiovascular Disease in Patients Admitted with COVID-19: The Experience of an Eastern European Center.

Background: Data regarding the combined prognostic role of biomarkers and risk scores in relation with the history of atherosclerotic cardiovascular disease (ASCVD) in COVID-19 patients are lacking. Methods: The aim of this observational cohort study was to evaluate the combined prognostic value of N-terminal pro B-type natriuretic peptide (NT-pro BNP), troponin and risk scores in relation with ASCVD history in hospitalized COVID-19 patients. The primary composite endpoint was Intensive Care Unit (ICU) admission and death. Results: From April 2020 to June 2022, 1066 consecutive COVID-19 patients with available biomarkers upon admission were included. During a median follow-up period of 12 days, 176 patients (16.5%) died. Independent predictors of ICU admission and death in patients with ASCVD were NT-pro BNP (HR 2.63; 95% CI, 1.65–4.18) and troponin (HR 1.51; 95% CI, 1.13–2.03). In patients without ASCVD, only NT-pro BNP was predictive for the primary endpoint (HR 1.66; 95% CI, 1.10–2.53). This remained significant after adjustment for other relevant covariates (HR 3.54; 95% CI, 1.98–6.33) in patients with ASCVD and in patients without ASCVD (HR 1.82; 95% CI, 1.02–3.26). Conclusions: These data showed the combined prognostic accuracy of NT-pro BNP and troponin in relation with ASCVD history for ICU admission and death in COVID-19 patients.