Hematological characteristics of COVID-19 patients with fever infected by the Omicron variant in Shanghai: A retrospective cohort study in China.

BACKGROUND: A wave of the Omicron variant of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection has rapidly spread in Shanghai, China. Hematological abnormalities have been reported in coronavirus disease 2019 (COVID-19) patients; however, the difference in hematological parameters between COVID-19 patients with fever and patients who are febrile from other causes remains unexplored. METHODS: This retrospective cohort study enrolled 663 SARS-CoV-2 positive patients identified by RT-PCR. Clinical parameters, including age, sex, and threshold cycle values of all COVID-19 patients, and hematological parameters of COVID-19 patients in the fever clinic were abstracted for analysis. RESULTS: Overall, 60.8% of COVID-19 patients were male, and the median age was 45 years. Most of COVID-19 patients were asymptomatic, while 25.8% of patients showed fever and 10.9% of patients had other emergencies. COVID-19 patients with fever had significantly lower white blood cells (WBCs), neutrophils, lymphocytes, platelets and C-reactive protein (CRP), and significantly higher monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), mean platelet volume (MPV), and mean platelet volume-to-platelet ratio (MPR) levels, compared with those in SARS-CoV-2 negative patients with fever from other causes (p < 0.05). Neutrophil-to-lymphocyte ratio (NLR), PLR, and systemic inflammatory index (SII) levels were significantly higher in COVID-19 patients with emergencies (p < 0.05). WBCs showed the best performance with an area under the curve (0.756), followed by neutrophils (0.730) and lymphocytes (0.694) in the diagnosis of COVID-19 in the fever clinic. CONCLUSION: WBCs, neutrophils, lymphocytes, platelets, CRP and MLR, PLR, and MPR may be useful in early diagnosis of COVID-19 in the fever clinic.

C-reactive protein: An easy marker for early differentiation between leptospirosis and dengue fever in endemic area.

In tropical regions, leptospirosis and dengue fever (DF) are infectious diseases of epidemiological importance and have overlapping symptomatic features. The objective of this study was to identify the factors associated to diagnosing leptospirosis that differentiate it to DF at the initial hospital evaluation. A multicenter retrospective study was conducted comparing confirmed leptospirosis to DF cases. Clinical/laboratory findings were compiled at hospital admission on Reunion Island between 2018 and 2019. Multivariable logistic regression was used to identify the predictors of leptospirosis. In total, 98 leptospirosis and 673 DF patients were included with a mean age of 47.8 (±17.1) and 48.9 (±23.3) years, respectively. In the multivariate analyses, the main parameters associated with leptospirosis were: i) increased neutrophil counts, ii) C-reactive protein values, iii) the absence of prolonged partial thromboplastin time, and iv) a decrease of platelets. The most discriminating parameter was C-reactive protein (CRP). With a threshold of 50mg/L, CRP taken alone had a sensitivity of 94% and a specificity of 93.5%. The positive and negative likelihood ratios were 14.5 and 0.06, respectively. In the setting of an early presumptive diagnosis, we found that an increased CRP value (>50 mg/L) could help diagnose leptospirosis and aid the decision process for hospital surveillance and/or a potential antibiotic treatment regimen.

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.

C-Reactive Protein (CRP): A poor prognostic biomarker in COVID-19.

Introduction: The COVID-19 pandemic continues to be rampant with considerable morbidity and mortality worldwide since its emergence in December 2019. Several studies have focused on identifying different predictive factors of poor prognosis, including biological markers, such as C Reactive Protein among others. The objective of our work was to determine whether the CRP levels on admission to the intensive care unit are predictive of an unfavorable evolution of patients with COVID-19 through the experience of the Anesthesia and Intensive Care Unit of the University Hospital of Oujda and to compare our results with those reported in the literature. Methods: We conducted a retrospective, monocentric, descriptive and analytical study in the Department of Anesthesia and Intensive Care of the Mohammed VI University Hospital of Oujda, Morocco, between March 2020 and October 2021, including all critically ill patients admitted to the department during this period and meeting the inclusion criteria. The baseline admission CRP value was arbitrarily set at 100mg/d, thus conditioning the division of our patients into two groups (group 1: CRP < 100mg/L, group 2: CRP ≥ 100mg/L). Results: Among our 1035 included patients, 291 patients with had a CRP<100mlg/L (group 1) and 744 presented a CRP level equal or superior to 100mg/L (group 2). Lung parenchymal involvement was more severe or even critical (CT involvement > 75%) in group 2 (60.8%) compared to group 1 (39.2%). In group 2, 79.8% of patients were mechanically ventilated, compared to 20.2% of patients in group 1. Finally, the mortality rate in patients with a CRP ≥ 100mg/l was 77.4%, compared with 22.6% for patients with a CRP < 100mg/l. These findings are all statistically highly significant (p<0.001). Conclusion: Given the high contagiousness of the virus and the emergence of several variants, the management of the COVID-19 pandemic has focused more on prevention through vaccination against the virus, but also on an early identification of patients likely to evolve unfavorably for a personalized management.

Serial measurements of lymphocytes, D-dimer, LDH, and CRP do not improve the ability to predict COVID-19 adverse outcomes.

OBJECTIVE: We evaluated the discriminatory ability of variations in lymphocyte, D-dimer, C-reactive protein (CRP), and lactate dehydrogenase (LDH) serum levels at 48 to 72 hours of hospitalization compared with baseline measurements to predict unfavorable clinical outcomes in patients with COVID-19. METHODS: We analyzed diagnostic test results based on a retrospective cohort to determine the ability of variations (gradients or ratios) in patients' lymphocyte, D-dimer, CRP, and LDH serum levels taken 48 to 72 hours after hospital admission to predict adverse outcomes such as death, mechanical ventilation, or intensive care unit (ICU) admission developing. RESULTS: Among 810 patients (56.1% men, age 61.6 ± 16.2 years), 37.5% had at least one adverse outcome; 28.2% required ICU admission, 26.5% required mechanical ventilation, and 19.4% died during hospitalization. In comparing baseline measurements with measurements at 48 to 72 hours, D-dimer, lymphocyte delta, LDH, and CRP had similar discriminatory ability (area under the receiver operating characteristic curve [AUC] 0.57 vs. 0.56, 0.53 vs. 0.57, 0.64 vs. 0.66, and 0.62 vs. 0.65, respectively). CONCLUSIONS: Measuring serum risk markers upon hospital admission can be used to evaluate risk of adverse outcomes in hospitalized patients with COVID-19. Repeating these measurements at 48 to 72 hours does not improve discriminatory ability.

Coagulation parameters predict COVID-19-related thrombosis in a neural network with a positive predictive value of 98.

Thrombosis is a major clinical complication of COVID-19 infection. COVID-19 patients show changes in coagulation factors that indicate an important role for the coagulation system in the pathogenesis of COVID-19. However, the multifactorial nature of thrombosis complicates the prediction of thrombotic events based on a single hemostatic variable. We developed and validated a neural net for the prediction of COVID-19-related thrombosis. The neural net was developed based on the hemostatic and general (laboratory) variables of 149 confirmed COVID-19 patients from two cohorts: at the time of hospital admission (cohort 1 including 133 patients) and at ICU admission (cohort 2 including 16 patients). Twenty-six patients suffered from thrombosis during their hospital stay: 19 patients in cohort 1 and 7 patients in cohort 2. The neural net predicts COVID-19 related thrombosis based on C-reactive protein (relative importance 14%), sex (10%), thrombin generation (TG) time-to-tail (10%), α2-Macroglobulin (9%), TG curve width (9%), thrombin-α2-Macroglobulin complexes (9%), plasmin generation lag time (8%), serum IgM (8%), TG lag time (7%), TG time-to-peak (7%), thrombin-antithrombin complexes (5%), and age (5%). This neural net can predict COVID-19-thrombosis at the time of hospital admission with a positive predictive value of 98%-100%.

Circulating pyruvate is a potent prognostic marker for critical COVID-19 outcomes.

Background: Coronavirus-19 (COVID-19) disease is driven by an unchecked immune response to the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus which alters host mitochondrial-associated mechanisms. Compromised mitochondrial health results in abnormal reprogramming of glucose metabolism, which can disrupt extracellular signalling. We hypothesized that examining mitochondrial energy-related signalling metabolites implicated in host immune response to SARS-CoV-2 infection would provide potential biomarkers for predicting the risk of severe COVID-19 illness. Methods: We used a semi-targeted serum metabolomics approach in 273 patients with different severity grades of COVID-19 recruited at the acute phase of the infection to determine the relative abundance of tricarboxylic acid (Krebs) cycle-related metabolites with known extracellular signaling properties (pyruvate, lactate, succinate and α-ketoglutarate). Abundance levels of energy-related metabolites were evaluated in a validation cohort (n=398) using quantitative fluorimetric assays. Results: Increased levels of four energy-related metabolites (pyruvate, lactate, a-ketoglutarate and succinate) were found in critically ill COVID-19 patients using semi-targeted and targeted approaches (p<0.05). The combined strategy proposed herein enabled us to establish that circulating pyruvate levels (p<0.001) together with body mass index (p=0.025), C-reactive protein (p=0.039), D-Dimer (p<0.001) and creatinine (p=0.043) levels, are independent predictors of critical COVID-19. Furthermore, classification and regression tree (CART) analysis provided a cut-off value of pyruvate in serum (24.54 µM; p<0.001) as an early criterion to accurately classify patients with critical outcomes. Conclusion: Our findings support the link between COVID-19 pathogenesis and immunometabolic dysregulation, and show that fluorometric quantification of circulating pyruvate is a cost-effective clinical decision support tool to improve patient stratification and prognosis prediction.

γ' fibrinogen levels as a biomarker of COVID-19 respiratory disease severity.

Coronavirus disease 2019 (COVID-19) is characterized by a pro-inflammatory state associated with organ failure, thrombosis, and death. We investigated a novel inflammatory biomarker, γ' fibrinogen (GPF), in 103 hospitalized patients with COVID-19 and 19 healthy controls. We found significant associations between GPF levels and the severity of COVID-19 as judged by blood oxygen saturation (SpO2). The mean level of GPF in the patients with COVID-19 was significantly higher than in controls (69.8 (95 % CI 64.8-74.8) mg/dL compared with 36.9 (95 % CI 31.4-42.4) mg/dL, p < 0.0001), whereas C-reactive protein (CRP), lactate dehydrogenase (LDH), and total fibrinogen levels were not significantly different between groups. Mean GPF levels were significantly highest in patients with severe COVID-19 (SpO2 ≤ 93 %, GPF 75.2 (95 % CI 68.7-81.8) mg/dL), compared to mild/moderate COVID-19 (SpO2 > 93 %, GPF 62.5 (95 % CI 55.0-70.0) mg/dL, p = 0.01, AUC of 0.68, 95 % CI 0.57-0.78; Youden's index cutpoint 62.9 mg/dL, sensitivity 0.64, specificity 0.63). In contrast, CRP, interleukin-6, ferritin, LDH, D-dimers, and total fibrinogen had weaker associations with COVID-19 disease severity (all ROC curves with lower AUCs). Thus, GPF may be a useful inflammatory marker of COVID-19 respiratory disease severity.

The effect of an mRNA vaccine against COVID-19 on endothelial function and arterial stiffness.

To fight the COVID-19 pandemic, messenger RNA (mRNA) vaccines were the first to be adopted by vaccination programs worldwide. We sought to investigate the short-term effect of mRNA vaccine administration on endothelial function and arterial stiffness. Thirty-two participants (mean age 37 ± 8 years, 20 men) who received the BNT162b2 mRNA COVID-19 vaccine were studied in three sessions in a sequence-randomized, sham-controlled, assessor-blinded, crossover design. The primary outcome was endothelial function (assessed by brachial artery flow-mediated dilatation (FMD)), and the secondary outcomes were aortic stiffness (evaluated with carotid-femoral pulse wave velocity (PWV)) and inflammation (measured by high-sensitivity C-reactive protein (hsCRP) in blood samples). The outcomes were assessed prior to and at 8 h and 24 h after the 1st dose of vaccine and at 8 h, 24 h, and 48 h after the 2nd dose. There was an increase in hsCRP that was apparent at 24 h after both the 1st dose (-0.60 [95% confidence intervals [CI]: -1.60 to -0.20], p = 0.013) and the 2nd dose (maximum median difference at 48 h -6.60 [95% CI: -9.80 to -3.40], p < 0.001) compared to placebo. The vaccine did not change PWV. FMD remained unchanged during the 1st dose but decreased significantly by 1.5% (95% CI: 0.1% to 2.9%, p = 0.037) at 24 h after the 2nd dose. FMD values returned to baseline at 48 h. Our study shows that the mRNA vaccine causes a prominent increase in inflammatory markers, especially after the 2nd dose, and a transient deterioration of endothelial function at 24 h that returns to baseline at 48 h. These results confirm the short-term cardiovascular safety of the vaccine.

Combined effects of inflammation and coronavirus disease 2019 (COVID-19) on the risks of anxiety and depression: A cross-sectional study based on UK Biobank.

Infection-induced perturbation of immune homeostasis could promote psychopathology. Psychiatric sequelae have been observed after previous coronavirus outbreaks. However, limited studies were conducted to explore the potential interaction effects of inflammation and coronavirus disease 2019 (COVID-19) on the risks of anxiety and depression. In this study, first, polygenic risk scores (PRS) were calculated for eight COVID-19 clinical phenotypes using individual-level genotype data from the UK Biobank. Then, linear regression models were developed to assess the effects of COVID-19 PRS, C-reactive protein (CRP), systemic immune inflammation index (SII), and their interaction effects on the Generalized Anxiety Disorder-7 (GAD-7, 104 783 individuals) score and the Patient Health Questionnaire-9 (PHQ-9, 104 346 individuals) score. Several suggestive interactions between inflammation factors and COVID-19 clinical phenotypes were detected for PHQ-9 score, such as CRP/SII × Hospitalized/Not_Hospitalized in women group and CRP × Hospitalized/Unscreened in age >65 years group. For GAD-7 score, we also found several suggestive interactions, such as CRP × Positive/Unscreened in the age ≤65 years group. Our results suggest that not only COVID-19 and inflammation have important effects on anxiety and depression but also the interactions of COVID-19 and inflammation have serious risks for anxiety and depression.

C-reactive protein to lymphocyte ratio is a significant predictive factor for poor short-term clinical outcomes of SARS-CoV-2 BA.2.2 patients.

Objective: The aim of the present study is to assess the utility of C-reactive protein to Lymphocyte Ratio (CLR) in predicting short-term clinical outcomes of patients infected by SARS-CoV-2 BA.2.2. Methods: This retrospective study was performed on 1,219 patients with laboratory-confirmed SARS-CoV-2 BA.2.2 to determine the association of CLR with short-term clinical outcomes. Independent Chi square test, Rank sum test, and binary logistic regression analysis were performed to calculate mean differences and adjusted odds ratios (aORs) with their 95% CI, respectively. Results: Over 8% of patients admitted due to SARS-CoV-2 BA.2.2. were critically ill. The best cut-off value of CLR was 21.25 in the ROC with a sensitivity of 72.3% and a specificity of 86%. After adjusting age, gender, and comorbidities, binary logistic regression analysis showed that elevated CLR was an independent risk factor for poor short-term clinical outcomes of COVID-19 patients. Conclusion: C-reactive protein to Lymphocyte Ratio is a significant predictive factor for poor short-term clinical outcomes of SARS-CoV-2 BA.2.2 inflicted patients.

COVID-19 severity appears to be reduced in spring/summer.

BACKGROUND: because of different human behaviours, SARS-CoV-2 spread may be lower in spring/summer. On the contrary, it is not clearly known whether the clinical course/severity of hospitalized patients infected by SARS-CoV-2 can be different in the various seasons.. OBJECTIVES: to understand whether there were differences in severity of COVID-19 in patients who had contracted the infection in winter versus those infected in spring/summer. DESIGN: observational retrospective cohort study. SETTING AND PARTICIPANTS: from the administrative database of the SARS-CoV-2 surveillance system and that of hospital discharge, a cohort of patients (8,221, 653 of which were hospitalized) who tested positive to the RT-PCR test for SARS-CoV-2 between 01.12.2020 and 31.07.2021 in the Grosseto province (Tuscany Region, Central Italy) was selected and analysed. MAIN OUTCOME MEASURES: hospitalization rate and length, continuous positive airway pressure (CPAP) or non-invasive ventilation (NIV) use, Intensive Care Unite (ICU) admissions, intra-hospital mortality and PaO2/FiO2 values were measured and compared between subjects infected in winter and those who developed COVID-19 in spring/summer. Viral load (cycle threshold, Ct), vitamin D, serum ferritin, IL-6, procalcitonin, D-dimer, and C-reactive protein measured in the two periods were also compared. RESULTS: in the considered months, the hospitalization rate among 8,221 patients with COVID-19 was 8%: 370 (8.5%) individuals were hospitalized in winter and 283 (7,3%; p=0.31) in spring/summer; 62 (16.8%), 88 (23.8%), and 63 (17%) in winter and 28 (9.9%), 40 (14.1%), and 36 (12.7%) in spring/summer were admitted in ICU (p=0.01), used CPAP/NIV (p=0.002) and died (p=0.13), respectively. Hospitalization days were 14.5±11.6 in winter and 10.3±8.84 in spring/summer (p=0.001), while minimum PaO2/FiO2, measured during hospital stays was 123.2±38.6 in spring/summer and 112.6±40.8 in winter (p=0.054). Multivariate analysis (adjusted for all confounding factors) also confirmed reduced risks of having ICU admissions (0.53; 95%CI 0.32;0.88; p=0.01) and of using CPAP/NIV (0.48; 95%CI 0.32;0.75; p=0.001) in spring/summer when compared to winter. Hospitalization days and minimum PaO2/FiO2 were also lower in spring/summer (ß= -3.9; 95%CI -5.5;-2.2; p=0.001) and winter (ß= -17; 95%CI -0.93;35; p=0.06), respectively. The adjusted hazard ratio of mortality in winter, obtained with a Cox model, was higher of about 38% compared to spring/summer. No Ct values (viral load) differences were found either in winter (19.45±6.18) or spring/summer (20.3±6.7; p=0.343). IL-6, ferritin, procalcitonin, D-dimer were similar. Conversely, CRP was lower whereas vitamin D was higher in the warmer seasons. CONCLUSIONS: COVID-19 may be less severe during spring/summer in hospitalized patients. This does not seem to be influenced by different SARS-CoV-2 viral load in the different periods considered. C-reactive protein was found to be lower whereas vitamin D higher in the warmer months. It can be hypothesized that higher levels of vitamin D in spring/summer, compared to winter, may be associated to a positive modulation of COVID-19 induced inflammation with a possible disease severity reduction during spring/summer.

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.

Severe COVID-19 among Admitted COVID-19 Patients in a Tertiary Care Centre: A Descriptive Cross-sectional Study.

Introduction: Severe COVID-19 patients experience elevated levels of serologic indicators of inflammation which can alter blood cell lineages and cause lymphopenia. The objective of this study was to find out the prevalence of severe COVID-19 among admitted COVID-19 patients in a tertiary care centre. Methods: A descriptive cross-sectional study was conducted in a tertiary care centre from 22 June 2021 to 30 September 2021 after obtaining ethical approval from the Institutional Review Committee (Reference number: IRC-PA-146/2077-78). Confirmed COVID-19 patients by reverse transcriptase polymerase chain reaction and admitted in the COVID block during the study period were included and those who were discharged on request or referred or unavailable blood tests were excluded. A convenience sampling method was used. Point estimate and 95% Confidence Interval were calculated. Results: Among 72 admitted COVID-19 patients, 63 (87.5%) (79.86-95.14, 95% Confidence Interval) patients had severe disease. The mean neutrophil to lymphocyte ratio and mean lymphocyte to C-reactive protein ratio were 11.60±8.15 and 25.55±20.96 respectively. Conclusions: The prevalence of severe COVID-19 was higher than in other studies done in similar settings. We suggest clinical parameter-based early categorisation of COVID-19 cases to utilize limited resources during the pandemic. Keywords: COVID-19; c-reactive protein; lymphocytes; severe acute respiratory syndrome coronavirus.

C-Reactive Protein (CRP): A Potent Inflammation Biomarker in Psychiatric Disorders.

An increasing number of studies have investigated the role of inflammation in psychiatric disorders, by demonstrating how an altered/dysfunctional immunological and inflammatory system may underpin a psychiatric condition. Particularly, several studies specifically investigated the role of a neuroinflammatory biomarker, named C-reactive protein (CRP), in psychiatric disorders. Overall, even though scientific literature so far published still does not appear definitive, CRP is more likely reported to be elevated in several psychiatric disorders, including schizophrenia, mood disorders, anxiety disorders and post-traumatic stress disorder. Moreover, a low-grade inflammation (CRP >3 mg/L) has been more likely observed in a subgroup of patients affected with a more severe psychopathological symptomatology, more treatment resistance and worst clinical mental illness course, strengthening the hypothesis of the need for a different clinical and prognostic characterization based on this concomitant neuroinflammatory predisposition. However, even though further research studies are needed to confirm this preliminary evidence, CRP may represent a potential clinical routine biomarker which could be integrated in the clinical routine practice to better characterize clinical picture and course as well as address clinicians towards a personalized treatment.

Real-world efficacy and safety of vedolizumab in managing ulcerative colitis versus Crohn's disease: results from an Italian multicenter study.

BACKGROUND: Vedolizumab (VDZ) can be used to treat refractory ulcerative colitis (UC) and Crohn's disease (CD). We assessed whether there are differences in treating UC vs CD with VDZ. RESEARCH DESIGN AND METHODS: Mayo score in UC and the Harvey-Bradshaw Index (HBI) in CD scored the clinical activity. Achievement and maintenance of clinical remission during the follow-up, and safety were the primary endpoints. RESULTS: 729 patients (475 with UC and 254 with CD), median follow-up of 18 (IQR 6-36) months, were enrolled. Clinical remission at the 6th month of treatment was achieved in 488 (66.9%) patients (74.4% in CD vs 62.9% in UC, p<0.002) while, during the follow-up, no difference was found (81.5% in the UC group and 81.5% pts in the CD group; p=0.537). The clinical remission at the 6th month of treatment (p=0.001) and being naïve to biologics (p<0.0001) were significantly associated with prolonged clinical remission. The clinical response was significantly higher in UC (90.1%) vs CD (84.3%) (p=0.023), and surgery occurred more frequently in CD (1.9% in UC vs 5.1% in CD, p=0.016). CONCLUSION: We found differences when using VDZ in UC vs CD in real life. These parameters can help the physician predict this drug's longterm efficacy.

Clinical Features and Blood Indicators for Severity and Prognosis in COVID-19 Patients.

BACKGROUND: This study aimed to analyze the clinical manifestations and blood indicators to deepen the understanding of Coronavirus disease 2019 (COVID-19). METHODS: COVID-19 patients admitted to C10 West Ward, Tongji Hospital in Wuhan City ("West Ward") between January 31 and March 28, 2020, were retrospectively analyzed. RESULTS: A total of 61 COVID-19 patients were hospitalized, wherein the non-critical Group had 30 cases, while the critical group had 31 (including 14 survivors and 17 deaths). Age, the proportion of fever cases, white blood cell (WBC), basophils, red blood cell (RBC), hemoglobin, lactate dehydrogenase (LDH), C-reactive protein (CRP), high-sensitivity troponin, pro-BNP (brain natriuretic peptide), prothrombin time (PT), and D-dimer were higher in the critical group while lymphocytes, eosinophils, albumin were lower compared with those of the non-critical group (all p < 0.05). WBC (p = 0.008), basophils (p = 0.034), and LDH (p = 0.005) of the death subgroup climbed remarkably in comparison with those of the survival subgroup. CONCLUSIONS: Advanced age, high fever, increases in indicators such as WBC, basophils, CRP, LDH, high-sensitivity troponin, pro-BNP, and D-dimer, and decreases in indicators, including lymphocytes, eosinophils, and albumin, might forebode a critical condition.

Multiple infliximab biosimilar switches appear to be safe and effective in a real-world inflammatory bowel disease cohort.

BACKGROUND: Switching from originator infliximab (IFX) to biosimilar IFX is effective and safe. However, data on multiple switching are scarce. The Edinburgh inflammatory bowel disease (IBD) unit has undertaken three switch programmes: (1) Remicade to CT-P13 (2016), (2) CT-P13 to SB2 (2020), and (3) SB2 to CT-P13 (2021). OBJECTIVE: The primary endpoint of this study was to assess CT-P13 persistence following switch from SB2. Secondary endpoints included persistence stratified by the number of biosimilar switches (single, double and triple), effectiveness and safety. METHODS: We performed a prospective, observational, cohort study. All adult IBD patients on IFX biosimilar SB2 underwent an elective switch to CT-P13. Patients were reviewed in a virtual biologic clinic with protocol driven collection of clinical disease activity, C-reactive protein (CRP), faecal calprotectin (FC), IFX trough/antibody levels, and drug survival. RESULTS: 297 patients (CD n = 196 [66%], ulcerative colitis/inflammatory bowel disease unclassified n = 101, [34%]) were switched (followed-up: 7.5 months [6.8-8.1]). This was the third, second and first IFX switch for 67/297 (22.5%), 138/297 (46.5%) and 92/297 (31%) of the cohort respectively. 90.6% of patients remained on IFX during follow-up. The number of switches was not independently associated with IFX persistence after adjusting for confounders. Clinical (p = 0.77), biochemical (CRP ≤5 mg/ml; p = 0.75) and faecal biomarker (FC<250 µg/g; p = 0.63) remission were comparable at baseline, week 12 and week 24. CONCLUSION: Multiple successive switches from IFX originator to biosimilars are effective and safe in patients with IBD, irrespective of the number of IFX switches.

The Role of Inflammatory Cytokines (Interleukin-1 and Interleukin-6) as a Potential Biomarker in the Different Stages of COVID-19 (Mild, Severe, and Critical).

Cytokine storm refers to the overproduction of immune and inflammatory cells and their proteins (cytokines) [interleukin (IL)-1 and IL-6] causing acute respiratory distress syndrome in COVID-19. COVID-19 causes inflammatory reactions, and patients with COVID-19 had categorized as mild, severe, and critical after reviewing previous studies. Then, it is crucial to find immune-inflammatory indicators that might predict the disorder severity and the prognosis primarily for guiding medical therapy in the face of this unexpectedly developing unique infectious disease. Higher levels of IL-6 and IL-1 levels might be seen in patients with COVID-19 at each stage. In addition, IL-1-induced IL-6 assists in the synthesis of liver C-reactive protein (CRP) in acute phase responses. Recent studies suggested that IL-6 levels are an independent predictor of COVID-19 illness because they were significantly higher in patients with severe than with mild COVID-19 symptoms. Anakinra and tocilizumab (TCZ) are beneficial in lowing mortality in COVID-19 patients; however, information on their safety and efficacy is scarce. The aim of this study was to investigate the role of inflammatory cytokines (IL-1 and IL-6) as potential biomarkers in the different stages (mild, severe, and critical) of COVID-19. A systematic search during the years 2021-2022 using the keywords SARS-CoV-2, COVID-19, IL-6, IL-1, CRP, mild stage, severe stage, critical stage, cytokine storm, tocilizumab, and anakinra was performed in PubMed and Google Scholar databases. This study reviews studies that have investigated the role of high levels of these cytokines in the severity of the disease in patients with COVID-19 and the inhibitory function of TCZ and anakinra in preventing mechanical ventilation and patient mortality. According to the result, studies suggest that decreased innate immune response against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) in association with the production of inflammatory cytokines is the determining and driving function of COVID-19.

Markers of inflammasome activation in Coronavirus disease 2019 (COVID-19) Egyptian patients: Impact on disease severity.

There are conflicting data regarding the relationship between coronavirus disease 2019 (COVID-19) severity and Caspase-1 (Casp-1), interleukin-1ß (IL-1ß), and IL-18. Our study sought to quantify the levels of IL-18, IL-1ß, and Casp-1 as indicators for inflammasome activation in COVID-19 patients at Assiut University Hospitals and to correlate their levels with parameters of disease severity in COVID-19 patients. Serum levels of Casp-1, IL-1ß and IL-18 were measured in 63 COVID-19 patients and 26 normal controls by an enzyme linked immunosorbent assay (ELISA). Also, arterial blood gas analysis and laboratory parameters including hemoglobin, platelets, lymphocyte count, liver function test, kidney function test, C-reactive protein (CRP), D-dimer, ferritin and LDH were estimated. Serum levels of Casp-1, IL-1ß and IL-18 were significantly higher in the COVID-19 group as compared to controls (p= 0.04, p=0.001 and p=0.03, respectively). Although the three markers were higher in the severe group, yet only IL-1ß showed a significant difference as compared to the non-severe group (p=0.04). IL-18 had significant positive correlations with CRP and ferritin (p = 0.04 and p = 0.02, respectively). IL-1ß was positively correlated with alanine aminotransferase. Casp-1 had significant positive correlations with CRP and lactate dehydrogenase (p=0.045 and p=0.001, respectively). Patients showed weak positive correlations between serum level of Casp-1 and each of IL-1ß and IL-18. Also, a strong positive correlation was found between IL-1ß and IL-18 (p < 0.0001). In conclusion, inflammasome activation was a hallmark in COVID-19 patients. The markers of activation were positively correlated with many parameters of inflammation, may suggest their important roles in the pathophysiology of the disease and its progression. IL-1ß was the only marker to be correlated with disease severity and therefore may be suggested as a potential marker for identifying severe COVID-19 patients.