On-admission and dynamic trend of laboratory profiles as prognostic biomarkers in COVID-19 inpatients.

This large-scale study aimed to investigate the trend of laboratory tests of patients with COVID-19. Hospitalized confirmed and probable COVID-19 patients in three general hospitals were examined from March 20, 2020, to June 18, 2021. The confirmed and probable COVID-19 patients with known outcomes and valid laboratory results were included. The least absolute shrinkage and selection operator (LASSO) and Cox regression were used to select admittance prognostic features. Parallel Pairwise Comparison of mortality versus survival was used to examine the trend of markers. In the final cohort, 11,944 patients were enrolled, with an in-hospital mortality rate of 21.8%, mean age of 59.4 ± 18.0, and a male-to-female ratio of 1.3. Abnormal admittance level of white blood cells, neutrophils, lymphocytes, mean cellular volume, urea, creatinine, bilirubin, creatine kinase-myoglobin binding, lactate dehydrogenase (LDH), Troponin, c-reactive protein (CRP), potassium, and creatinine phosphokinase reduced the survival of COVID-19 inpatients. Moreover, the trend analysis showed lymphocytes, platelet, urea, CRP, alanine transaminase (ALT), and LDH have a dissimilar trend in non-survivors compared to survived patients. This study proposed a novel approach to find serial laboratory markers. Serial examination of platelet count, creatinine, CRP, LDH, and ALT can guide healthcare professionals in finding patients at risk of deterioration.

Antibody Avidity Maturation Following Recovery From Infection or the Booster Vaccination Grants Breadth of SARS-CoV-2 Neutralizing Capacity.

BACKGROUND: Cross-neutralizing capacity of antibodies against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants is important in mitigating (re-)exposures. Role of antibody maturation, the process whereby selection of higher affinity antibodies augments host immunity, to determine SARS-CoV-2 neutralizing capacity was investigated. METHODS: Sera from SARS-CoV-2 convalescents at 2, 6, or 10 months postrecovery, and BNT162b2 vaccine recipients at 3 or 25 weeks postvaccination, were analyzed. Anti-spike IgG avidity was measured in urea-treated ELISAs. Neutralizing capacity was assessed by surrogate neutralization assays. Fold change between variant and wild-type neutralization inferred the breadth of neutralizing capacity. RESULTS: Compared with early-convalescent, avidity indices of late-convalescent sera were significantly higher (median, 37.7 [interquartile range 28.4-45.1] vs 64.9 [57.5-71.5], P < .0001). Urea-resistant, high-avidity IgG best predicted neutralizing capacity (Spearman r = 0.49 vs 0.67 [wild-type]; 0.18-0.52 vs 0.48-0.83 [variants]). Higher-avidity convalescent sera better cross-neutralized SARS-CoV-2 variants (P < .001 [Alpha]; P < .01 [Delta and Omicron]). Vaccinees only experienced meaningful avidity maturation following the booster dose, exhibiting rather limited cross-neutralizing capacity at week 25. CONCLUSIONS: Avidity maturation was progressive beyond acute recovery from infection, or became apparent after the booster vaccine dose, granting broader anti-SARS-CoV-2 neutralizing capacity. Understanding the maturation kinetics of the 2 building blocks of anti-SARS-CoV-2 humoral immunity is crucial.

Molecular and Physiological Study in Patients with Coronavirus in Thi-Qar Province Iraq.

The current study aimed to study the effect of Covid-19 disease on some physiological parameters for assessing the physiological effect of Covid-19. The current study included 100 patients, 50 males, and 50 females, whose ages ranged from 10 - 73 years infected with Covid-19 molecularly diagnosed at AL-Imam Hussein Teaching Hospital in Thi-Qar Province from April to August 2021 and 50 people as a control group. The results illustrated a significant decrease in the level of hemoglobin, lymphocyte, and platelet in the patient's group, whereas a significant increase in the count of total white blood cells (WBC) was recorded in patients compared with the control group. The results showed that the hemoglobin level, WBC, and platelet increased significantly in males compared to females, while the lymphocytes increased significantly in female patients. The results of age groups showed non-significant differences in the hematological parameters. The current results illustrated a significant increase in the level of blood urea, serum creatinine, and random blood sugar in the patient's group. According to the gender of patients, the blood urea increased significantly in the female group, while the blood sugar increased significantly in the male group. On the other hand, the serum creatinine had no significant difference. According to age groups, a significant increase in blood urea was recorded in patients over 70 years, but no differences in both creatinine and random blood sugar level were noted. The current study recorded that the concentration of CRP, ferritin, and D. Dimer was significantly higher in patients; according to gender, the level of CRP and ferritin increased non-significantly compared with a male group of patients, while D. Dimer increased significantly in the female group. According to age group, only CRP increased significantly in the first age group compared with other age groups. The sequencing analysis was performed for 10 isolated Covid-19, and the result indicates that only one isolated sample has a sequencing identity of 99,5% with Covid-19 in Iran.

Diagnostic Values of Laboratory Biomarkers in Predicting a Severe Course of COVID-19 on Hospital Admission.

Objective: We intend to identify differences in the clinicodemographic and laboratory findings of COVID-19 patients to predict disease severity and outcome on admission. Methods: This single-centred retrospective study retrieved laboratory and clinical data from 350 COVID-19 patients on admission, represented as frequency tables. A multivariate regression model was used to assess the statistically significant association between the explanatory variables and COVID-19 infection outcomes, where adjusted odds ratio (AOR), p value, and 95% CI were used for testing significance. Results: Among the 350 COVID-19 patients studied, there was a significant increase in the WBC count, neutrophils, aggregate index of systemic inflammation (AISI), neutrophil-to-lymphocyte ratio (dNLR), neutrophil-to-lymphocyte and platelet ratio (NLPR), monocyte-to-lymphocyte ratio (MLR), systemic immune-inflammation index (SII), systemic inflammation response index (SIRI), D-dimer, interleukin-6 (IL-6), ferritin, lactate dehydrogenase (LDH), prothrombin time (PT), glucose, urea, urea nitrogen, creatinine, alanine phosphatase (ALP), and aspartate aminotransferase (AST) and a significant decrease in lymphocytes, eosinophils, total protein, albumin, prealbumin serum, and albumin/globulin (A/G) ratio in the severe group when compared with the mild and moderate groups. However, after adjusting their age, gender, and comorbidities, WBC count (adjusted odds ratio (AOR) = 6.888, 95% CI = 1.590-29.839, p = 0.010), neutrophils (AOR = 5.912, 95% CI = 2.131-16.402, p = 0.001), and urea (AOR = 4.843, 95% CI = 1.988-11.755, p = 0.001) were strongly associated with disease severity. Interpretation and Conclusion. On admission, WBC count, neutrophils, and urea, with their cut of values, can identify at-risk COVID-19 patients who could develop severe COVID-19.

A robust COVID-19 mortality prediction calculator based on Lymphocyte count, Urea, C-Reactive Protein, Age and Sex (LUCAS) with chest X-rays.

There have been numerous risk tools developed to enable triaging of SARS-CoV-2 positive patients with diverse levels of complexity. Here we presented a simplified risk-tool based on minimal parameters and chest X-ray (CXR) image data that predicts the survival of adult SARS-CoV-2 positive patients at hospital admission. We analysed the NCCID database of patient blood variables and CXR images from 19 hospitals across the UK using multivariable logistic regression. The initial dataset was non-randomly split between development and internal validation dataset with 1434 and 310 SARS-CoV-2 positive patients, respectively. External validation of the final model was conducted on 741 Accident and Emergency (A&E) admissions with suspected SARS-CoV-2 infection from a separate NHS Trust. The LUCAS mortality score included five strongest predictors (Lymphocyte count, Urea, C-reactive protein, Age, Sex), which are available at any point of care with rapid turnaround of results. Our simple multivariable logistic model showed high discrimination for fatal outcome with the area under the receiving operating characteristics curve (AUC-ROC) in development cohort 0.765 (95% confidence interval (CI): 0.738-0.790), in internal validation cohort 0.744 (CI: 0.673-0.808), and in external validation cohort 0.752 (CI: 0.713-0.787). The discriminatory power of LUCAS increased slightly when including the CXR image data. LUCAS can be used to obtain valid predictions of mortality in patients within 60 days of SARS-CoV-2 RT-PCR results into low, moderate, high, or very high risk of fatality.

Dehydration is associated with production of organic osmolytes and predicts physical long-term symptoms after COVID-19: a multicenter cohort study.

BACKGROUND: We have previously shown that iatrogenic dehydration is associated with a shift to organic osmolyte production in the general ICU population. The aim of the present investigation was to determine the validity of the physiological response to dehydration known as aestivation and its relevance for long-term disease outcome in COVID-19. METHODS: The study includes 374 COVID-19 patients from the Pronmed cohort admitted to the ICU at Uppsala University Hospital. Dehydration data was available for 165 of these patients and used for the primary analysis. Validation was performed in Biobanque Québécoise de la COVID-19 (BQC19) using 1052 patients with dehydration data. Dehydration was assessed through estimated osmolality (eOSM = 2Na + 2 K + glucose + urea), and correlated to important endpoints including death, invasive mechanical ventilation, acute kidney injury, and long COVID-19 symptom score grouped by physical or mental. RESULTS: Increasing eOSM was correlated with increasing role of organic osmolytes for eOSM, while the proportion of sodium and potassium of eOSM were inversely correlated to eOSM. Acute outcomes were associated with pronounced dehydration, and physical long-COVID was more strongly associated with dehydration than mental long-COVID after adjustment for age, sex, and disease severity. Metabolomic analysis showed enrichment of amino acids among metabolites that showed an aestivating pattern. CONCLUSIONS: Dehydration during acute COVID-19 infection causes an aestivation response that is associated with protein degradation and physical long-COVID. TRIAL REGISTRATION: The study was registered à priori (clinicaltrials.gov: NCT04316884 registered on 2020-03-13 and NCT04474249 registered on 2020-06-29).

Blood phenotype O and indirect bilirubin are associated with lower, early COVID-19-related mortality: A retrospective study.

OBJECTIVES: To evaluate the ABO blood type and indirect bilirubin to predict early mortality in adults with severe COVID-19. METHODS: This retrospective observational study was conducted on 268 adult patients with laboratory-confirmed COVID-19 who had attended the intensive care unit (ICU), Quena general hospital and Luxor International Hospital, and other hospitals or centers for the treatment of COVID-19, during the period from January 2021 till December 2021. RESULTS: Relation between mortality and ABO group were highly significant, as we found non-O blood group with more risk of early mortality and intensive care unit admission ICU. There were significant differences between dead and alive cases as regards platelets, white blood cells WBCs (neutrophil, lymphocyte), albumin, liver enzymes aspartate transeferase (AST), alanine transferase (ALT), total direct and indirect bilirubin, creatinine, and urea. CONCLUSION: There was a highly significant relation between dead cases and ABO blood group as between the O and non-O groups; also, group O was associated with less severe manifestations and or ventilation and less mortality in patients with severe COVID-19 infection. Direct bilirubin >0.5 was found to be the best predictor for mortality in cases with COVID-19 so indirect bilirubin may be considered a good protector against complications of the infection.

Utilization of SUMO Tag and Freeze-thawing Method for a High-level Expression and Solubilization of Recombinant Human Angiotensinconverting Enzyme 2 (rhACE2) Protein in E. coli.

BACKGROUND: SARS-CoV-2 uses angiotensin-converting enzyme 2 (ACE2) as a receptor for entering the host cells. Production of the ACE2 molecule is important because of its potency to use as a blocker and therapeutic agent against SARS-CoV-2 for the prophylaxis and treatment of COVID-19. OBJECTIVE: The recombinant human ACE2 (rhACE2) is prone to form an inclusion body when expressed in the bacterial cells. METHODS: We used the SUMO tag fused to the rhACE2 molecule to increase the expression level and solubility of the fusion protein. Afterward, the freeze-thawing method plus 2 M urea solubilized aggregated proteins. Subsequently, the affinity of solubilized rhACE2 to the receptor binding domain (RBD) of the SARS-CoV-2 spike was assayed by ELISA and SPR methods. RESULTS: SUMO protein succeeded in increasing the expression level but not solubilization of the fusion protein. The freeze-thawing method could solubilize and recover the aggregated fusion proteins significantly. Also, ELISA and SPR assays confirmed the interaction between solubilized rhACE2 and RBD with high affinity. CONCLUSION: The SUMO tag and freeze- Conclusion: The SUMO tag and freeze-thawing method would be utilized for high-level expression and solubilization of recombinant rhACE2 protein.

Clinical characteristics and laboratory parameters associated with the risk of severe COVID-19 in patients from two hospitals in Northeast Brazil.

BACKGROUND: Although most coronavirus disease 2019 (COVID-19) infections are mild, some patients have severe clinical conditions requiring hospitalization. Data on the severity of COVID-19 in Brazil are scarce and are limited to public databases. This study aimed to investigate the clinical and laboratory factors associated with the severity of COVID-19 in a cohort of hospitalized adults from two hospitals in Northeast Brazil. METHODS: Patients over 18 years of age who were hospitalized between August 2020 and July 2021 with a confirmed diagnosis of COVID-19 were included. The patients were classified into two groups: moderate and severe. Clinical, laboratory and imaging parameters were collected and compared between the groups. A multivariate logistic regression model was used to determine the predictors of COVID-19 severity. RESULTS: This study included 495 patients (253 moderate and 242 severe). A total of 372 patients (75.2%) were between 18 and 65 years of age, and the majority were male (60.6%; n = 300). Patients with severe disease had higher levels of leukocytes, neutrophils, platelets, neutrophil-to-lymphocyte ratio, monocyte-to-lymphocyte ratio, blood glucose, C-reactive protein, ferritin, D-dimer, aspartate aminotransferase, creatinine, and urea (p < 0.05). In multivariate logistic regression, the following variables were significant predictors of COVID-19 severity: leukocytes (odds ratio [OR] 3.27; 95% confidence interval [CI] 2.12-5.06), international normalized ratio (INR) (OR 0.22, 95% CI 0.14-0.33), and urea (OR 4.03; 95% CI 2.21-7.35). CONCLUSIONS: The present study identified the clinical and laboratory factors associated with the severity of COVID-19 in hospitalized Brazilian individuals.

[Predictors of unfavorable outcomes of ischemic stroke associated with COVID-19]. / Prediktory neblagopriyatnogo iskhoda ishemicheskogo insul'ta, assotsiirovannogo s COVID-19.

OBJECTIVE: To study predictors of unfavorable outcomes in ischemic stroke associated with COVID-19. MATERIAL AND METHODS: A retrospective analysis of 173 case histories of patients with ischemic stroke and COVID-19 was carried out. The average age was 68.64±11.39 (95% CI 66.93-70.35; median 92, mean 34) years. By gender, women predominated (64.16%). Fatal outcome was observed in 62 (35.84%) patients. Risk factors were studied using binary logistic regression. RESULTS: The risk of a fatal stroke in a univariate analysis was established in the presence of a general severe condition of the patient and a number of other factors, which included the severity of COVID-19, acute coronary syndrome, multiple organ failure, the need for a ventilator, a history of kidney disease, pneumonia, high NIHSS score, oxygen partial pressure level, respiratory rate, number of hospitalizations, complete blood count (erythrocytes, hemoglobin, hematocrit, leukocytes, neutrophils), coagulogram, glucose, liver and kidney markers (bilirubin, aspartate aminotransferase, alanine aminotransferase, creatinine, urea), levels of creatine phosphokinase, lactate dehydrogenase and C-reactive protein. A model based on multivariate analysis was used, which makes it possible to predict the probability of a fatal outcome. A regression function was obtained, which included the content of C-reactive protein, urea and NIHSS score. In patients with a value of 35% and above, there was an increased risk of death, in the case of a value below 35%, a favorable outcome was assumed. The model was statistically significant (p<0.001). The sensitivity and specificity of the model were 88.9% and 97.9%, respectively. CONCLUSION: The revealed predictors of the probability of a fatal stroke outcome can be guidelines for a Coctor in choosing a patient management strategy at different stages of patient care.

Clinical and chest computed tomography features of patients suffering from mild and severe COVID-19 at Fayoum University Hospital in Egypt.

BACKGROUND: In pandemic COVID-19 (coronavirus disease 2019), the prognosis of patients has been determined using clinical data and CT (computed tomography) scans, but it is still unclear whether chest CT characteristics are correlated to COVID-19 severity. AIM: To explore the potential association between clinical data and 25-point CT score and investigate their predictive significance in COVID-19-positive patients at Fayoum University Hospital in Egypt. METHODS: This study was conducted on 252 Egyptian COVID-19 patients at Fayoum University Hospital in Egypt. The patients were classified into two groups: a mild group (174 patients) and a severe group (78 patients). The results of clinical laboratory data, and CT scans of severe and mild patients, were collected, analyzed, and compared. RESULTS: The severe group show high significance levels of CRP, alanine aminotransferase (ALT), aspartate aminotransferase (AST), creatinine, urea, ferritin, lactate dehydrogenase (LDH), neutrophil percent, and heart rate (HR) than the mild group. Lymphopenia, hypoalbuminemia, hypocalcemia, and decreased oxygen saturation (SpO2) were the most observed abnormalities in severe COVID-19 patients. Lymphopenia, low SpO2 and albumin levels, elevated serum LDH, ferritin, urea, and CRP levels were found to be significantly correlated with severity CT score (P<0.0001). CONCLUSION: The clinical severity of COVID-19 and the CT score are highly correlated. Our findings indicate that the CT scoring system can help to predict COVID-19 disease outcomes and has a strong correlation with clinical laboratory testing.

Inflammatory Biomarkers Associated with In-Hospital Mortality in Critical COVID-19 Patients.

The COVID-19 pandemic poses global healthcare challenges due to its unpredictable clinical course. The aim of this study is to identify inflammatory biomarkers and other routine laboratory parameters associated with in-hospital mortality in critical COVID-19 patients. We performed a retrospective observational study on 117 critical COVID-19 patients. Following descriptive statistical analysis of the survivor and non-survivor groups, optimal cut-off levels for the statistically significant parameters were determined using the ROC method, and the corresponding Kaplan-Meier survival curves were calculated. The inflammatory parameters that present statistically significant differences between survivors and non-survivors are IL-6 (p = 0.0004, cut-off = 27.68 pg/mL), CRP (p = 0.027, cut-off = 68.15 mg/L) and IL-6/Ly ratio (p = 0.0003, cut-off = 50.39). Additionally, other statistically significant markers are creatinine (p = 0.031, cut-off = 0.83 mg/dL), urea (p = 0.0002, cut-off = 55.85 mg/dL), AST (p = 0.0209, cut-off = 44.15 U/L), INR (p = 0.0055, cut-off = 1.075), WBC (p = 0.0223, cut-off = 11.68 × 109/L) and pH (p = 0.0055, cut-off = 7.455). A survival analysis demonstrated significantly higher in-hospital mortality rates of patients with values of IL-6, IL-6/Ly, AST, INR, and pH exceeding previously mentioned thresholds. In our study, IL-6 and IL-6/Ly have a predictive value for the mortality of critically-ill patients diagnosed with COVID-19. The integration of these parameters with AST, INR and pH could contribute to a prognostic score for the risk stratification of critical patients, reducing healthcare costs and facilitating clinical decision-making.

Clinical Characteristics and outcome analysis of SARS-CoV-2 patients admitted to different Critical Care Units in Nepal.

BACKGROUND: The clinical presentation, biochemical characteristics, and outcomes of patients infected with SARS-CoV-2 can vary in different populations. The purpose of the study is to assess the clinical presentation and identify predictors of mortality among patients with severe acute respiratory distress syndrome admitted to different critical care units in Nepal. METHODS: An observational study was conducted among the confirmed SARS-CoV-2 patients admitted to different critical care units in seven provinces of Nepal. Retrospective data was collected for the period of three months (April 14, 2021 to July 15, 2021) in relation to the peak of the second wave of COVID-19 pandemic in Nepal. Clinical, biochemical and mortality data were collected from the admitted patients of different critical care units. Univariate logistic regression analysis was done among the selected variables at 5% significance. Final predictor variables were identified after multiple regression analysis. RESULTS: Out of total of 646 patients admitted to critical care units of different provinces of Nepal, there was a male predominance 420 (65%). A total of 232(35.91 %) patients were non-survivors with the majority of mortality occurring in patients > 50 years of age. Cough (72.3 %), shortness of breath (70.9%) and fever (56 %) were the most common presenting clinical features. Increasing age, presence of comorbidity, critical COVID-19 cases, respiratory rate, temperature, serum urea and alanine aminotransferase were identified as predictors of mortality after multiple regression analysis. CONCLUSIONS: Approximately 36 % of the confirmed SARS-CoV-2 patient admitted to critical care units did not survive. There was a male preponderance with most casualties occurring in patients more than 50 years of age. Cough, shortness of breath and fever were the most common presenting features. After multiple regression analysis of the identified clinical and biochemical factors, age, presence of comorbidity, respiratory rate, temperature, severity grade as per the World Health Organization classification, serum urea and alanine aminotransferase were identified as the predictors of mortality.

Obesity contributes to mortality and displays alterations in calcium, urea and hemoglobin levels in SARS-CoV-2 infected individuals.

BACKGROUND & AIMS: Obesity courses with metabolic and inflammatory changes that include, among others, higher expression of the renin-angiotensin-aldosterone system. The pathophysiology of the new coronavirus suggests an affinity for angiotensin-2 converting enzyme receptors, cytokine storm, and systemic hypercoagulability. Thus, obesity could contribute to the worse evolution of individuals with COVID-19. Here we evaluated the clinical outcome and age of SARS-CoV-2 infection in patients with higher BMI compared with normal BMI at the São Francisco de Assis University Hospital (HUSF), in Bragança Paulista, SP. METHODS: Retrospective observational study with a review of medical records from June of 2020 to May of 2021 of patients positive for SARS-CoV-2 from HUSF. Demographic, anthropometric, and metabolic data were collected for correlation analysis. The study was approved by the Ethical Committee under CAAE: 34121820.3.0000.5514. RESULTS: 360 medical records were analyzed, of which 125 were included. The mean age of patients with obesity was significantly lower than overweight and normal weight, both in the overall mean (p-value 0.002-66 versus 56 and 56) and in the mean age of mortality (p-value 0.003-59 versus 61 and 76). The mean plasma calcium in the last sample collected during hospitalization of patients with obesity was significantly higher than that of overweight and normal weight (p-value < 0.001-7.8 versus 8.1 and 8.6). The mean hemoglobin in the first admission sample was also significantly higher in patients with obesity compared to the other groups (p-value 0.041-12.5 versus 12.9 and 13.6). On the other hand, the plasma concentration of urea in the first sample of hospitalization of patients with normal weight was higher than in patients with overweight and obesity (p-value 0.036-90.4 versus 64.8 and 57.1). CONCLUSION: Our findings suggest that age is not a determining factor for the death outcome in patients with obesity. However, obesity contributes to metabolic changes and mortality in SARS-CoV-2 infected patients.

The Relationship of Liver and Pancreas Density With Chest Computed Tomography Score Progression and Laboratory Findings in Patients With COVID-19.

OBJECTIVE: Abdominal involvement of COVID-19 is a current issue. We aimed to evaluate hepatic and pancreatic density alterations on computed tomography (CT) and to analyze whether these alterations had a relationship with chest CT score and laboratory findings. METHODS: Patients with reverse transcription-polymerase chain reaction-confirmed COVID-19 from March 11, 2020, to February 6, 2021, were retrospectively analyzed. Patients were divided into nonprogressive and progressive groups according to their chest CT scores. Liver and pancreas density, and liver-to-spleen (L/S) ratio were calculated. Laboratory findings, medication, intensive care unit stay, and survival were noted. RESULTS: There were 51 patients in the nonprogressive group and 123 patients in the progressive group. The median (minimum to maximum) L/S value of the nonprogressive group was 1 (0.28-1.53) at admission and 1.06 (0.33-1.83) at follow-up ( P < 0.001). In the progressive group, the median L/S value was 1.08 (0.35-1.51) at admission and 0.92 (0.33-1.75) at follow-up ( P < 0.001). A significant difference was found between the 2 groups at admission and follow-up ( P = 0.010 and P < 0.001, respectively). Pancreatic density measured at follow-up was significantly lower in the progressive group ( P = 0.045). In the progressive group, aspartate aminotransferase, total bilirubin, creatinine, urea, C-reactive protein, D-dimer, and white blood cell values were higher; albumin and lymphocyte values were lower ( P < 0.05). CONCLUSIONS: Patients with COVID-19 with progressive CT scores may have a decrease in L/S values, and their pancreatic density is lower than nonprogressives. Aspartate aminotransferase, total bilirubin, creatinine, urea, C-reactive protein, D-dimer, and white blood cell values tend to be higher in patients with a high chest CT score.

Early Recognition of Low-Risk SARS-CoV-2 Pneumonia: A Model Validated With Initial Data and Infectious Diseases Society of America/American Thoracic Society Minor Criteria.

BACKGROUND: A shortage of beds in ICUs and conventional wards during the COVID-19 pandemic led to a collapse of health care resources. RESEARCH QUESTION: Can admission data and minor criteria by the Infectious Diseases Society of America (IDSA) and the American Thoracic Society (ATS) help identify patients with low-risk SARS-CoV-2 pneumonia? STUDY DESIGN AND METHODS: This multicenter cohort study included 1,274 patients in a derivation cohort and 830 (first wave) and 754 (second wave) patients in two validation cohorts. A multinomial regression analysis was performed on the derivation cohort to compare the following patients: those admitted to the ward (assessed as low risk); those admitted to the ICU directly; those transferred to the ICU after general ward admission; and those who died. A regression analysis identified independent factors for low-risk pneumonia. The model was subsequently validated. RESULTS: In the derivation cohort, similarities existed among those either directly admitted or transferred to the ICU and those who died. These patients could, therefore, be merged into one group. Five independently associated factors were identified as being predictors of low risk (not dying and/or requiring ICU admission) (ORs, with 95% CIs): peripheral blood oxygen saturation/Fio2 > 450 (0.233; 0.149-0.364); < 3 IDSA/ATS minor criteria (0.231; 0.146-0.365); lymphocyte count > 723 cells/mL (0.539; 0.360-0.806); urea level < 40 mg/dL (0.651; 0.426-0.996); and C-reactive protein level < 60 mg/L (0.454; 0.285-0.724). The areas under the curve were 0.802 (0.769-0.835) in the derivation cohort, and 0.779 (0.742-0.816) and 0.801 (0.757-0.845) for the validation cohorts (first and second waves, respectively). INTERPRETATION: Initial biochemical findings and the application of < 3 IDSA/ATS minor criteria make early identification of low-risk SARS-CoV-2 pneumonia (approximately 80% of hospitalized patients) feasible. This scenario could facilitate and streamline health care resource allocation for patients with COVID-19.

Effect of first application laboratory values on the prognosis of COVID-19 patients hospitalized in the intensive care unit.

OBJECTIVE: The aim of the study was to investigate the effect of blood values at first admission to the hospital on predicting mortality in COVID-19 patients hospitalized in the intensive care unit (ICU). PATIENTS AND METHODS: The blood parameters of 284 intensive care patients, who were diagnosed with COVID-19 via the Real-Time Polymerase Chain Reaction (RT-PCR) for SARS-CoV-2 RNA test, at first admission to the hospital, were evaluated. The contribution of these parameters to predicting mortality was analyzed. RESULTS: No significant relationship was found between complete blood count and mortality. However, it was determined that the ferritin, ALT, D-dimer, and urea levels significantly affected the mortality rates in intensive care patients. CONCLUSIONS: The ferritin, ALT, D-dimer, and urea levels of patients who were admitted to the ICU due to COVID-19, at first admission to the hospital, were significant in predicting mortality. Therefore, it is recommended that these parameters will be evaluated at the first application.

Covalent narlaprevir- and boceprevir-derived hybrid inhibitors of SARS-CoV-2 main protease.

Emerging SARS-CoV-2 variants continue to threaten the effectiveness of COVID-19 vaccines, and small-molecule antivirals can provide an important therapeutic treatment option. The viral main protease (Mpro) is critical for virus replication and thus is considered an attractive drug target. We performed the design and characterization of three covalent hybrid inhibitors BBH-1, BBH-2 and NBH-2 created by splicing components of hepatitis C protease inhibitors boceprevir and narlaprevir, and known SARS-CoV-1 protease inhibitors. A joint X-ray/neutron structure of the Mpro/BBH-1 complex demonstrates that a Cys145 thiolate reaction with the inhibitor's keto-warhead creates a negatively charged oxyanion. Protonation states of the ionizable residues in the Mpro active site adapt to the inhibitor, which appears to be an intrinsic property of Mpro. Structural comparisons of the hybrid inhibitors with PF-07321332 reveal unconventional F···O interactions of PF-07321332 with Mpro which may explain its more favorable enthalpy of binding. BBH-1, BBH-2 and NBH-2 exhibit comparable antiviral properties in vitro relative to PF-07321332, making them good candidates for further design of improved antivirals.

Association of Covid-19 with blood type A in relation to blood sugar, urea, and blood test (D-dimer and ferritin) in patients from Al-Najaf.

COVID-19 is an emerging infectious disease caused by the novel enveloped single-stranded RNA virus quickly declared a pandemic. This study aimed to investigate the severity of COVID-19 infection in patients with blood group type A. A cross-sectional study was conducted at Al-Amal specialized hospital, Al-Najaf (March 8 to March 20/2021). The study included 123 hospitalized patients (63 females and 60 males), aged between 15-95 years, diagnosed with COVID-19, tested for blood group, blood sugar, blood urea, D-dimer, and serum ferritin. Results indicated significant differences in blood sugar and D-dimer in patients with type A blood group at P>0.05. At the same time, no significant difference was found in blood urea and ferritin at P>0.05. The majority of patients showed elevated levels of blood sugar, blood urea, serum D-dimer and ferritin. COVID-19 can infect people of all ages and causes severe infection in all blood groups.

Frequency of deranged renal profile in patients with COVID-19: Tertiary Care Experience from a developing country.

Coronavirus disease-2019 (COVID-19) is a global pandemic, also affecting Pakistan with its first case reported on February 26, 2020. Since then, it has been declared a pandemic by the World Health Organization. Our study aimed to evaluate the renal derangements associated with COVID-19 infection in our population. A retrospective, observational study was conducted to include all the admitted patients having COVID-19 positive, and evaluated those for derangements of renal function (n = 362). Out of the 362 patients, 229were admitted in the ward, 133 were in intensive care unit (ICU), 258 of them recovered, while 104 deaths reported. At admission, the renal profile was deranged in almost one-half of ICU admissions and mortalities which increased to two-third during the hospital stay, with around 80% of deaths reported with increased urea and creatinine levels. Among the deceased patients, around one-third of the mortalities developed renal profile derangements during the hospital stay although they were admitted with a normal renal profile. An estimated glomerular filtration rate showed a mean increase of 13.37 mL/min/1.73 m2 during the hospital stay of surviving patients, while a decline of 19.92 in nonsurviving patients. A hazard ratio of 3.293 (P <0.001) for admitting serum urea and 3.795 (P = 0.009) at discharge and for serum creatinine at 5.392 (P <0.001) on discharge was associated significantly with mortality. Kaplan-Meier plot showed a significant decline in days of survival with deranged urea and creatinine (P <0.001). The deranged renal function in COVID-19 patients is associated with an increased number of ICU admissions as well as mortalities.