Neutrophil/Lymphocyte Ratio (NLR) and Lymphocyte/Monocyte Ratio (LMR) - Risk of Death Inflammatory Biomarkers in Patients with COVID-19

Prognostic Value of Biomarkers in COVID-19: Associations with Disease Severity, Viral Variants, and Comorbidities-A Retrospective Observational Single-Center Cohort Study

Coronavirus disease (COVID-19) exhibits a wide spectrum of clinical severity and has been associated with specific biomarkers linked to disease progression and outcomes. This retrospective study analyzed sera from 1222 adult COVID-19 patients hospitalized at the University Hospital for Infectious Diseases in Croatia. We examined the association between several laboratory biomarker levels measured at patient admission and disease severity, fatal outcomes, viral variants and clinical parameters. Deceased patients and surviving patients with severe COVID-19 exhibited significantly elevated levels of several biomarkers on admission, including hs-troponin T, N-terminal pro-brain natriuretic peptide, creatine kinase, C-reactive protein, procalcitonin, interleukin-6, lactate dehydrogenase, lactate, urea and creatinine. Random forest models identified lymphocyte percentage, D-dimers, and hs-troponin T as the most important biomarkers for fatal outcome prediction, achieving 84.1% accuracy. Patients infected with the Delta SARS-CoV-2 variant exhibited significantly higher levels of proinflammatory, cardiac and renal biomarkers. Vaccination correlated with reduced proinflammatory parameters and higher lymphocyte proportions. Hypertension, chronic renal disease and diabetes were associated with increased cardiac, renal and metabolic biomarker levels, respectively. These findings highlight the association of several laboratory biomarkers with COVID-19 severity, viral variants, vaccination status and comorbidities, potentially offering prognostic insights into COVID-19 outcomes.

Lymphocyte to monocyte ratio and lymphocyte to neutrophil ratio in neurosyphilis may affect the response to therapy and diagnostic efficacy

To investigate the effects of lymphocyte to monocyte ratio (LMR), lymphocyte to neutrophil ratio (LNR), and serum toluidine red unheated serum test (sero-TRUST) titers on the therapy response of HIV negative neurosyphilis (NS) patients after initial therapy. HIV negative NS patients who received initial therapy at the Second Hospital of Nanjing were selected as the research participants, and demographic data, as well as clinical and laboratory data, were collected through follow-up.Group the study population based on response to therapy status, with complete response to therapy as the endpoint of the study. Cox regression analysis of factors influencing response to therapy after initial therapy. Time-dependent ROC curve evaluation of LMR and LNR prediction ability. Among the 249 patients included in this study, 200 were in the response to therapy group and 49 were in the therapy non-response to therapy group. Cox regression analysis found that baseline blood LMR > 1.93, LNR > 0.3, and sero-TRUST titer > 1:16 can affect the response to therapy outcomes. However, there was no statistically significant difference between LMR and LNR with and without response in the therapy group. The time-dependent ROC curve shows that the AUC for evaluating response to therapy is moderately sensitive based on baseline sero-TRUST titers, or LNR after 3 months of therapy, sero-TRUST difference from baseline. Baseline blood LMR > 1.93 and sero-TRUST titers ≥ 1:16 may be important prognostic factors affecting response to therapy in HIV negative NS patients. Baseline sero-TRUST titer > 1:16, LNR increase > 0.12 or sero-TRUST titer decrease > 2-fold after 3 months of therapy can be used as auxiliary indicators to evaluate the occurrence of therapy response in patients.

The effect of SARS-CoV-2 Omicron BA. 5.2 infection on perioperative physiological indicators in orthopedic patients

OBJECTIVE

The aim of this study was to investigate the effect of SARS-CoV-2 Omicron BA. 5.2 (hereafter referred to as Omicron BA. 5.2) infection on perioperative physiological indices and to provide clinical considerations for the precautions needed for patients who tested negative for SARS-CoV-2 infection perioperatively.

METHODS

Patients who underwent time-limited surgery (surgery that must be performed within a certain time) at the Department of Orthopedics of our hospital from September 1, 2022, to March 31, 2023, were divided into an observation group (those with Omicron BA 5.2 and a negative nucleic acid test after December 7, 2022, n = 100) and a control group (those negative for SARS-CoV-2 infection before December 7, 2022, n = 100). Changes in the following factors were compared within and between the two groups: heart rate, mean arterial pressure, oxygenation index at the time of entry into the operating room, incision of the skin and exit from the operating room and the neutrophil‒lymphocyte ratio (NLR), platelet‒lymphocyte ratio (PLR), systemic immune inflammation index (SII), D-dimer level, and fibrinogen degradation product (FDP) level. Changes in interleukin-6 and calcitonin levels were assessed the day after surgery, and multivariate regression analysis of the meaningful results was conducted.

RESULTS

Heart rate, mean arterial pressure, oxygenation index, NLR, PLR, SII, interleukin-6 and calcitonin were similar between the two groups (P > 0.05). The observation group had higher postoperative D-dimer and FDP levels (P < 0.05). Multivariate regression analysis revealed that Omicron BA 5.2 infection, older age and a history of cerebral infarction were associated with increased D-dimer and FDP levels, and their odds ratios (ORs) and confidence intervals are 3.339 [95% CI, 1.372-8.419], P = 0.008; OR, 1.080 [95% CI, 1.023-1.139]; P = 0.005; OR, 10.644 [95% CI, 1.352-83.320], P = 0.025, respectively.

CONCLUSION

Omicron BA. 5.2 Infection affects the perioperative coagulation function of orthopedic patients, thereby inducing a hypercoagulable state characterized by significant elevations in D-dimer and FDP levels and increasing the risk of venous thrombosis. This infection had no obvious effect on other physiological indices. Early surgery is feasible, but thrombotic events need to be considered.

Clinical characteristics and predictive indictors of macrolide-unresponsive Mycoplasma pneumoniae pneumonia in children: a retrospective study

Introduction

Macrolide-unresponsive Mycoplasma pneumoniae pneumonia (MUMPP) cases have been rapidly increasing. The primary reason for this increased incidence is the pathogen's acquisition of resistance through mutations in 23S rRNA genes. Due to the unfeasibility of testing for macrolide susceptibility at the time of admission, this study aimed to assess the clinical features of pediatric MUMPP, using insights from laboratory tests and patterns of chest radiographic resolution.

Material and methods

We conducted a retrospective review of 161 patients with M. pneumoniae pneumonia (MPP) between January 2023 and December 2023. These patients were categorized into two groups based on their responsiveness to macrolides: 72 patients were in the MUMPP group, and 89 patients were in the macrolide-sensitive Mycoplasma pneumoniae pneumonia (MSMP) group.

Results

MUMPP patients experienced a longer duration of fever and hospital stay. A higher proportion of MUMPP patients had shortness of breath, transcutaneous blood oxygen saturation (SpO2) lower than 94%, bilateral lobar infiltrates, lobar pneumonia and pleural effusion. The serum level of serum ferritin (SF), interleukin-6(IL-6), D-dimer, lactate dehydrogenase to albumin rate (LAR), and neutrophil to lymphocyte rate (NLR) were higher in MUMPP group.

Conclusions

Our findings revealed that patients with MUMPP exhibit more severe initial radiographic indicators and clinical course compared to those with MSMP. Therefore, it is crucial to promptly administer alternative therapeutic agents besides macrolides for the management of MUMPP.

Reevaluation of prognostic and severity indicators for COVID-19 patients in the emergency department

AIMS

This study aimed to re-evaluate whether the scoring systems, neutrophil-to-lymphocyte ratio (NLR) and platelet-to-lymphocyte ratio (PLR) were effective in predicting prognosis and severity of COVID-19 patients in the emergency department (ED).

METHODS

COVID-19 patients enrolled in this retrospective study divided into the death (DEA) and survival (SUR) groups, the severe/critical (SC) and non-severe/critical (non-SC) groups. The Acute Physiology and Chronic Health Evaluation (APACHE) II, Sequential Organ Failure Assessment (SOFA), National Early Warning Score (NEWS) and CCEDRRN COVID-19 Mortality Score were calculated. The neutrophil, lymphocyte and platelet counts were extracted from the first routine blood examination, and NLR and PLR were calculated accordingly. Receiver Operating Characteristic (ROC) curve and logistic regression were performed.

RESULTS

All the scoring systems, as well as NLR and PLR, significantly increased in both the DEA and SC groups. The ROC curve showed that the CCEDRRN COVID-19 Mortality Score had the highest predictive value for mortality and severity (AUC 0.779, 0.850, respectively), which outperformed the APACHE II, SOFA and NEWS. NLR presented better predictive ability for severity (AUC 0.741) than death (AUC 0.702). The APACHE II, NEWS and CCEDRRN COVID-19 Mortality Score were positively correlated with both prognosis and severity, whereas NLR only with severity.

CONCLUSION

The NEWS and CCEDRRN COVID-19 Mortality Score were reconfirmed for early and rapid predicting the poor prognosis and severity of COVID-19 patients in ED, especially the CCEDRRN COVID-19 Mortality Score with the highest discrimination capacity, and NLR was more appropriate for predicting the severity.

Integrated viral and immune monitoring in a prospective COVID-19 cohort from India

In this study, we report on longitudinal kinetics of cellular immune subsets following SARS-CoV-2 infection in a cohort of hospitalized individuals and evaluate the interplay of these profiles with infecting viral variants, humoral immunity including neutralizing responses, vaccination history, and clinical outcomes. A cohort of 121 SARS-CoV-2-infected individuals exhibiting varying disease states were prospectively evaluated for lymphopenic profiles, antiviral humoral responses and infecting viral variants for a period of up to 90 d spanning the period of February 2021 to January 2022 (second and third waves of infection). A total of 51 participants received at least 1 vaccine dose of indigenous vaccines (Covishield or Covaxin) prior to recruitment. When stratified in terms of mortality, B and natural killer cells, in contrast to the T cell compartment, did not recover from nadir levels in nonsurvivors who were largely unvaccinated. No discriminatory signature was identified for nonsurvivors in terms of anti-nucleocapsid or anti-S1-RBD IgG chemiluminescent immunoassay profiles including GenScript S1-RBD assays. Evaluation of sVCAM and sMAdCAM revealed opposing dynamics that correlated with disease severity and convalescence respectively. Viral variant analysis revealed Delta and Omicron variants to comprise the majority of the infections, which reflected national transmission kinetics during the period of recruitment. Our results demonstrate the importance of monitoring circulating biomarkers for convalescence as well as mortality in COVID-19 progression. Delta variants of SARS-CoV-2 clearly demonstrated increased pathogenicity and warrants sustained viral surveillance for re-emergence of these strains. Our findings with respect to vaccination advocate for continued vaccine development and administration of COVID-19 vaccines.

Body composition: a crucial factor in downstaging and postoperative complications of neoadjuvant chemotherapy for gastric cancer

Background

Postoperative complications may lower the quality of life of patients, consequently leading to a reduction in their overall survival (OS). In our previous investigations, we found that patients with gastric cancer (GC) with postoperative complications who underwent direct surgery had a significantly lower OS than patients without complications. We observed no significant difference in OS among patients who underwent neoadjuvant chemotherapy (NAC), regardless of complications. We propose that for patients who underwent reoperation following NAC, downstaging (reduction of clinical stage) and postoperative complications exerted contrasting effects on the OS. Further, we hypothesize that post-NAC downstaging and the absence of postoperative complications lead to a longer OS.

Methods

We conducted a retrospective analysis to collect the clinical data of patients with GC who underwent surgery after receiving NAC at the First Hospital of Lanzhou University from January 2016 to December 2022. Based on the presence of a post-NAC downstaging period and postoperative complications, we categorized the patients into group A (downstaging without complications), group B (downstaging with complications), group C (non-downstaging with complications), and group D (non-downstaging without complications). First, we assessed the OS disparity between the groups. Subsequently, we performed a comparative analysis of the body composition and hematological indexes of patients from the four groups.

Results

We included 295 patients in the study and categorized them into four subgroups: group A comprised 83 patients (28.1%), group B comprised 32 patients (10.8%), group C comprised 83 patients (28.1%), and group D comprised 97 patients (32.9%). Group A patients had the longest OS of 40.1 ± 20.53, whereas group C patients had the shortest OS of 32.15 ± 25.09. The OS of patients in the other two groups was between these values. Pairwise comparisons revealed significant differences between the OS of group A patients and that of groups C (32.15 ± 25.09) and D (33.06 ± 20.89) patients (p < 0.05). The skeletal mass index (SMI) and skeletal mass area (SMA) were highest in group A, lowest in group C, higher in group A (SMI: 45.05 ± 7.44, SMA: 128.88 ± 22.67) than in group C (SMI: 41.61 ± 8.17, SMA: 115.56 ± 26.67) (p < 0.05), and higher in group D (SMI: 44.94 ± 6.87, SMA: 127.05 ± 23.09) than in group C (p < 0.05). However, we observed no significant difference between the SMI and SMA of groups B (SMI: 42.91 ± 9.68, SMA: 120.76 ± 30.51) and D (p > 0.05). With respect to hematological indexes, the prognostic nutritional index (PNI) was highest in group A and lowest in group C. The PNI in group A (417.89 ± 37.58) was significantly higher than that in group C (397.62 ± 47.56) (p < 0.05), and it was also higher in group D (410.76 ± 4.28) than in group C (p < 0.05). However, we observed no significant difference between the PNI in groups B (402.57 ± 53.14) and D (p > 0.05).

Conclusion

Patients with advanced GC who experienced post-NAC downstaging and no postoperative complication had the longest OS. Patients with better body composition demonstrated more significant downstaging, fewer postoperative complications, and a longer OS.

Psychological General Well-being, Cognitive Failure, and Inflammation Biomarkers Among Workers 4 Months After a Mild/Asymptomatic SARS-CoV-2 Infection

OBJECTIVE

To investigate the relationship between cognitive complaints, systemic inflammatory biomarkers, and psychological general well-being (PGWB) after mild/asymptomatic SARS-CoV-2 infection, according to the presence of long COVID and work tasks.

METHODS

University employees and metal workers were recruited in a cross-sectional study 4 months after SARS-CoV-2 infection to assess cognitive impairment, individual PGWB index, inflammatory biomarkers, namely platelet-lymphocyte, neutrophil-lymphocyte, and lymphocyte-monocyte ratios, and the presence of long COVID symptoms.

RESULTS

A significant increase in the levels of inflammatory biomarkers was observed in subjects with long COVID. Furthermore, the PGWB index was influenced by long COVID symptoms and subjective cognitive and depressive symptoms, but not by work activity.

CONCLUSIONS

In occupational settings, it is crucial to detect the presence of long COVID symptoms and systemic inflammation early, as they may be associated with lower PGWB.

Predictive value of immune-related parameters in severe Mycoplasma pneumoniae pneumonia in children

Background

The severity of Mycoplasma pneumoniae pneumonia (MPP) is strongly correlated with the extent of the host's immune-inflammatory response. In order to diagnose the severity of MPP early, this study sought to explore the predictive value of immune-related parameters in severe MPP (sMPP) in admitted children.

Methods

We performed a database analysis consisting of patients diagnosed at our medical centers with MPP between 2021 and 2023. We included pediatric patients and examined the association between complete blood cell count (CBC), lymphocyte subsets and the severity of MPP. Binary logistic regression was performed to identify the independent risk factors of sMPP. Receiver operating characteristic (ROC) curves were used to estimate discriminant ability.

Results

A total of 245 MPP patients were included in the study, with 131 males and 114 females, median aged 6.0 [interquartile range (IQR), 4.0-8.0] years, predominantly located in 2023, and accounted for 64.5%. Among them, 79 pediatric patients were diagnosed as sMPP. The parameters of CBC including white blood cell (WBC) counts, neutrophil counts, monocyte counts, platelet counts, and neutrophil-to-lymphocyte ratio (NLR), were higher in the sMPP group (all P<0.05). The parameters of lymphocyte subsets including CD3+ T cell ratio (CD3+%) and CD3+CD8+ T cell ratio (CD3+CD8+%), were lower in the sMPP group (all P<0.05). And CD3-CD19+ B cell ratio (CD3-CD19+%) was higher in the sMPP group. Logistic regression analysis showed that age, CD3-CD19+%, and monocyte counts were identified as independent risk factors for the development of sMPP (all P<0.001). The three factors were applied in constructing a prediction model that was tested with 0.715 of the area under the ROC curve (AUC). The AUC of the prediction model for children aged ≤5 years was 0.823 and for children aged >5 years was 0.693.

Conclusions

The predictive model formulated by age, CD3-CD19+%, and monocyte counts may play an important role in the early diagnosis of sMPP in admitted children, especially in children aged ≤5 years.

The Importance of the Concentration of Selected Cytokines (IL-6, IL-10, IL-12, IL-15, TNF-α) and Inflammatory Markers (CRP, NLR, PLR, LMR, SII) in Predicting the Course of Rehabilitation for Patients after COVID-19 Infection

BACKGROUND/OBJECTIVES

In the course of COVID-19, there may be an excessive immune response of the body with the release of large amounts of pro-inflammatory cytokines, causing a "cytokine storm", also known as cytokine release syndrome (CRS). The COVID-19 pandemic has shown how important an integrated approach to health care is, with physiotherapy being one of its fundamental aspects. The aim of this study was to analyze the potential relationship between the level of selected cytokines (IL-6, IL-10, IL-12, IL-15, TNF-α) and inflammatory markers (CRP, NLR, PLR, LMR, SII) and the duration of rehabilitation in patients after COVID-19.

METHODS

The examined patients participated in a comprehensive rehabilitation program, which included breathing exercises, aerobic training, and strength and endurance training. Peripheral venous blood samples were also collected from each patient.

RESULTS

Factors such as gender, smoking status, IL-10, and the presence of pneumonia during infection were significantly associated with the length of rehabilitation after COVID-19.

CONCLUSIONS

The course of rehabilitation after COVID-19 may depend on many factors, including smoking, the presence of pneumonia due to infection, and some parameters of inflammation.

Prognostic Utility of dNLR, ALRI, APRI, and SII in COVID-19 Patients with Diabetes: A Cross-Sectional Study

The coronavirus disease 2019 (COVID-19) pandemic has necessitated the identification of biomarkers that can predict disease severity, particularly in vulnerable populations such as individuals with diabetes. This study aims to evaluate the predictive value of inflammatory and liver function markers, specifically derived Neutrophil to Lymphocyte Ratio (dNLR), aspartate aminotransferase (AST)-to-lymphocyte ratio (ALRI), AST to Platelet Ratio Index (APRI), and Systemic Inflammation Index (SII), in COVID-19 patients with and without diabetes. This cross-sectional study included 336 participants, comprising 168 patients with diabetes matched with 168 without, based on gender, body mass index (BMI), and COVID-19 severity at hospitalization. The study was conducted at Victor Babes Hospital for Infectious Diseases and Pulmonology from January 2021 to December 2023. All participants had a confirmed SARS-CoV-2 infection and met the inclusion criteria of being 18 years or older with type 1 or type 2 diabetes as per American Diabetes Association guidelines. At 3 days post symptom onset, significant differences in inflammatory and liver function markers were observed between the two groups. The dNLR, ALRI, APRI, and SII were notably higher in diabetic patients. At a dNLR cutoff of 2.685, the sensitivity and specificity were 70.312% and 65.978%, respectively, with an AUC of 0.624 (p < 0.001). The ALRI showed a cutoff of 0.812, with a sensitivity of 76.429% and specificity of 69.541% (AUC 0.752, p < 0.001). These markers demonstrated statistically significant hazard ratios at both 3 and 7 days, indicating their predictive relevance for severe COVID-19 outcomes. For instance, at 7 days, SII demonstrated a hazard ratio of 2.62 (CI: 1.29-5.04, p < 0.001), highlighting its strong prognostic capability. The study successfully identified significant differences in inflammatory and liver function markers between COVID-19 patients with and without diabetes, with these markers showing good predictive value for disease severity. The results underscore the potential of these biomarkers, particularly ALRI and SII, as valuable tools in managing COVID-19, aiding in the timely identification of patients at increased risk of severe outcomes.

How Immunonutritional Markers Are Associated with Age, Sex, Body Mass Index and the Most Common Chronic Diseases in the Hospitalized Geriatric Population-A Cross Sectional Study

The aim of this study was to assess the relationship of different chronic diseases with immunonutritional markers in the senior population.

METHODS

this study included 1190 hospitalized geriatric patients. The criteria to participate were ability to communicate, given consent and C-reactive protein (CRP) lower than 6 mg/dL.

RESULTS

the mean age of the study population was 81.7 ± 7.6 years. NLR (neutrophil-to-lymphocyte ratio), LMR (lymphocyte-to-monocyte ratio), MWR (monocyte-to-white blood cell ratio), SII (systemic immune-inflammation index), PNI (prognostic nutritional index) and CAR (C-reactive protein-to-albumin ratio) were related to age. NLR and MWR were higher, while LMR, PLR (platelet-to-lymphocyte ratio and SII were lower in men. All markers were related to BMI. NLR, LMR, LCR (lymphocyte-to-CRP ratio), MWR, PNI and CAR were related to several concomitant chronic diseases. In multivariate analyses, age and BMI were selected as independent predictors of all studied immunonutritional markers. Atrial fibrillation, diabetes mellitus and dementia appear most often in the models. PNI presented the most consistent statistical association with age, BMI and concomitant chronic diseases.

CONCLUSIONS

this study reveals the pivotal role of aging and BMI in inflammatory marker levels and the association of immunonutritional markers with different chronic diseases. Atrial fibrillation seems to have the most dominant connection to the immunonutritional markers.

Evaluation of serum neopterin levels in severe COVID-19 patients: An observational study

In patients with coronavirus disease (COVID-19), a massive inflammatory response is a significant cause of morbidity and mortality. Inflammatory markers are prognostic indicators of disease severity and the ultimate clinical outcome. Several studies have demonstrated a correlation between serum levels of neopterin, which can be an immune system marker, disease severity, and poor outcomes in COVID-19 patients. Our study aimed to determine the diagnostic significance of neopterin in conjunction with routinely measured inflammatory markers in patients with severe COVID-19. Serum neopterin, C-reactive protein (CRP), albumin levels, and complete blood count were determined in 39 patients with severe COVID-19 and 30 healthy individuals. Demographic characteristics, serum neopterin levels, and other laboratory data were compared between patients and healthy volunteers and statistically analyzed. High neopterin levels were observed in patients with severe COVID-19 compared to healthy volunteers. Furthermore, albumin levels were decreased, while CRP levels were increased in patients, statistically significantly. Also, positive correlations were shown between serum neopterin levels and serum CRP levels, while negative correlations were shown between serum neopterin levels and serum albumin levels. Systemic inflammation markers, CRP/albumin ratio, neutrophil/lymphocyte ratio, and platelet/lymphocyte ratio were significantly higher, while lymphocyte/monocyte ratio was also significantly lower in patients with severe COVID-19 than in healthy volunteers. However, serum neopterin levels were not linked to the CRP/albumin ratio, the neutrophil/lymphocyte ratio, or the platelet/lymphocyte ratio. On the other hand, they were linked negatively to the lymphocyte/monocyte ratio. Our findings highlight the association between high neopterin levels and patients with severe COVID-19. Neopterin is correlated with traditional inflammatory biomarkers and may indicate general immune and inflammatory activation in patients with severe COVID-19.

Hematological ratios in patients with acute decompensation and acute-on-chronic liver failure: prognostic factors

BACKGROUND AND AIMS

Acute-on-chronic liver failure (ACLF) is the most severe form of acutely decompensated cirrhosis and is characterized by the presence of intense systemic inflammation. Leucocyte quantification can serve as an indirect indicator of systemic inflammation. In our study, we investigated the predictive value of hematological ratios (neutrophils to lymphocytes, monocyte to lymphocytes, platelets to lymphocytes, lymphocytes to C-reactive protein, and neutrophils to lymphocytes and platelets) in acute decompensation (AD) and ACLF patients and their relation to disease severity and early mortality.

PATIENTS AND METHODS

We included 60 patients with ACLF and AD, and 30 cirrhotic controls. Clinical data were collected, and survival was followed for 1 and 6 months. Blood samples were analyzed at admission for differential leucocytes and assessed for liver and renal function tests. The leukocyte ratios were calculated and compared, and their correlation with liver function indicators and prognosis was assessed.

RESULTS

All ratios were significantly higher in AD and ACLF patients compared to control (except for lymphocyte to C-reactive protein ratio which was significantly lower), and were positively correlated with Child-Pugh score, model for end-stage liver disease (MELD)-Na, and ACLF severity scores. Multivariate regression revealed that neutrophil to lymphocyte ratio, monocyte to lymphocyte ratio, and MELD-Na were independent prognostic factors of 1-month and 6-month mortality. A unique prognostic nomogram incorporating MELD-Na, neutrophil to lymphocyte ratio, and monocyte to lymphocyte ratio could be proposed for predicting prognosis in AD and ACLF patients.

CONCLUSIONS

Cheap, easy, and noninvasive hematological ratios are introduced as a tool for early identification and risk stratification of AD and ACLF patients.

Redox Biomarkers - An Effective Tool for Diagnosing COVID-19 Patients and Convalescents

Aim

COVID-19 triggers the overproduction of reactive oxygen species (ROS) which, in combination with a weakened antioxidant barrier, can lead to protein oxidation and lipid peroxidation. The aim of this study was to evaluate enzymatic and non-enzymatic antioxidants, the overall redox potential, and protein and lipid peroxidation products in COVID-19 patients, convalescents, and healthy subjects, and to the determine the diagnostic applicability of these parameters in COVID-19 patients.

Materials and Methods

The study involved 218 patients with COVID-19, 69 convalescents, and 48 healthy subjects who were selected for the research based on age and sex. The study was conducted between 20 February 2021 and 20 November 2021 in Białystok, Poland. The antioxidant barrier, redox status, and oxidative damage products were assessed in serum/plasma samples with the use of colorimetric and spectrophotometric assays.

Results

Glutathione reductase (GR) activity was higher, whereas total antioxidant capacity (TAC) was lower in COVID-19 patients than in convalescents (p<0.0001) and the control group (p<0.0001). The concentrations of advanced glycation end products (AGEs), advanced oxidation protein products (AOPP), 4-hydroxynonenal (4-HNE), and malondialdehyde (MDA) were higher in COVID-19 patients (p<0.0001) and convalescents (p<0.0001) than in the control group. AGEs were the most effective diagnostic biomarker for differentiating COVID-19 patients from the control group (AUC=0.9971) and convalescents from the control group (AUC=1.000).

Conclusion

An infection with the SARS-CoV-2 disrupts the redox balance and increases protein oxidation and lipid peroxidation. AGEs fulfill the criteria for a potential diagnostic biomarker in COVID-19 patients and convalescents.

Significance of nitrosative stress and glycoxidation products in the diagnosis of COVID-19

Nitrosative stress promotes protein glycoxidation, and both processes can occur during an infection with the SARS-CoV-2 virus. Therefore, the aim of this study was to assess selected nitrosative stress parameters and protein glycoxidation products in COVID-19 patients and convalescents relative to healthy subjects, including in reference to the severity of COVID-19 symptoms. The diagnostic utility of nitrosative stress and protein glycoxidation biomarkers was also evaluated in COVID-19 patients. The study involved 218 patients with COVID-19, 69 convalescents, and 48 healthy subjects. Nitrosative stress parameters (NO, S-nitrosothiols, nitrotyrosine) and protein glycoxidation products (tryptophan, kynurenine, N-formylkynurenine, dityrosine, AGEs) were measured in the blood plasma or serum with the use of colorimetric/fluorometric methods. The levels of NO (p = 0.0480), S-nitrosothiols (p = 0.0004), nitrotyrosine (p = 0.0175), kynurenine (p < 0.0001), N-formylkynurenine (p < 0.0001), dityrosine (p < 0.0001), and AGEs (p < 0.0001) were significantly higher, whereas tryptophan fluorescence was significantly (p < 0.0001) lower in COVID-19 patients than in the control group. Significant differences in the analyzed parameters were observed in different stages of COVID-19. In turn, the concentrations of kynurenine (p < 0.0001), N-formylkynurenine (p < 0.0001), dityrosine (p < 0.0001), and AGEs (p < 0.0001) were significantly higher, whereas tryptophan levels were significantly (p < 0.0001) lower in convalescents than in healthy controls. The ROC analysis revealed that protein glycoxidation products can be useful for diagnosing infections with the SARS-CoV-2 virus because they differentiate COVID-19 patients (KN: sensitivity-91.20%, specificity-92.00%; NFK: sensitivity-92.37%, specificity-92.00%; AGEs: sensitivity-99,02%, specificity-100%) and convalescents (KN: sensitivity-82.22%, specificity-84.00%; NFK: sensitivity-82,86%, specificity-86,00%; DT: sensitivity-100%, specificity-100%; AGE: sensitivity-100%, specificity-100%) from healthy subjects with high sensitivity and specificity. Nitrosative stress and protein glycoxidation are intensified both during and after an infection with the SARS-CoV-2 virus. The levels of redox biomarkers fluctuate in different stages of the disease. Circulating biomarkers of nitrosative stress/protein glycoxidation have potential diagnostic utility in both COVID-19 patients and convalescents.

Assessing the Diagnostic Values of the Neutrophil-to-Lymphocyte Ratio (NLR) and Systematic Immunoinflammatory Index (SII) as Biomarkers in Predicting COVID-19 Severity: A Multicentre Comparative Study

COVID-19 has been notoriously unpredictable in its clinical course. Such unpredictability poses a challenge to clinicians in predicting patients who will develop severe cases and possibly die from the infection. This study aims to assess and compare the diagnostic value of the NLR and SII as biomarkers in predicting COVID-19 severity, represented by mortality, with a multicentre comparative study including 855 patients in Saudi Arabia. Descriptive and analytical statistics were used to compare haematological indices between survivors and non-survivors. The median age of patients included was 41 years old, with an almost equal ratio of men to women. Most participants were Saudis, and the mortality rate in the study cohort was 13.22%. Non-survivors, as compared to survivors, were significantly older, had lower RBC counts, haemoglobin and haematocrit levels, as well as significantly higher WBC and neutrophil counts. Both the NLR and SII were capable of differentiating between survivors and non-survivors, with the latter having significantly higher values. However, the NLR was superior to the SII in such differentiation, as it had a larger area under the curve. This study further confirms the diagnostic values of the NLR and SII as biomarkers in predicting COVID-19 severity and mortality, with the NLR being more sensitive and specific. Clinical guidelines on managing COVID-19 cases should benefit from these findings by harnessing the value of the NLR in COVID-19 management.

Factors Associated with Mortality Among Severe Omicron Patients for COVID-19

Purpose

The purpose of the study was to explore the potential risk factors of mortality in patients with severe pneumonia during the omicron pandemic in South China in 2022.

Methods

Clinical data was collected from patients hospitalized with omicron COVID-19. Then, patients were categorized into the non-survival and survival groups. A comprehensive analysis was conducted to analyze the factors associated with negative outcome in individuals suffering from severe omicron COVID-19.

Results

In this study, 155 severe COVID-19 patients were included, comprising 55 non-survivors and 100 survivors. Non-survivors, in comparison to survivors, exhibited elevated levels of various biomarkers including neutrophil count, hypersensitive troponin T, urea, creatinine, C-reactive protein, procalcitonin, interleukin-6, plasma D-dimer, and derived neutrophil-to-lymphocyte ratio (dNLR) (P < 0.05). They also displayed reduced lymphocyte count, platelet count, and albumin levels (P < 0.05) and were more prone to developing comorbidities, including shock, acute cardiac and renal injury, acute respiratory distress syndrome, coagulation disorders, and secondary infections. Platelet count (PLT) <100 × 10^/L, interleukin-6 (IL-6) >100 pg/mL, and dNLR >5.0 independently contributed to the risk of death in patients suffering from severe COVID-19.

Conclusion

PLT, IL-6, and dNRL independently contributed to the risk of mortality in patients with severe pneumonia during the 2022 omicron pandemic in South China.

Changes in chemokine and growth factor levels may be useful biomarkers for monitoring disease severity in COVID-19 patients; a pilot study

Aim

The aim of the present study was to assess differences in the serum levels of chemokines and growth factors (GFs) between COVID-19 patients and healthy controls. The diagnostic utility of the analyzed proteins for monitoring the severity of the SARS-CoV- 2 infection based on the patients' MEWS scores was also assessed.

Materials and methods

The serum levels of chemokines and growth factors were analyzed in hospitalized COVID-19 patients (50 women, 50 men) with the use of the Bio-Plex Pro™ Human Cytokine Screening Panel (Biorad) and the Bio-Plex Multiplex system.

Results

The study demonstrated that serum levels of MIP-1α, RANTES, Eotaxin, CTACK, GRO-α, IP-10, MIG, basic-FGF, HGF, SCGF-β, G-CSF, M-CSF, SCF, MIF, LIF, and TRAIL were significant higher in COVID-19 patients than in the control group. The concentrations of CTACK, GRO-α, IP-10, MIG, basic-FGF, HGF, PDGF- BB, GM-CSF, SCF, LIF, and TRAIL were higher in asymptomatic/mildly symptomatic COVID-19 patients (stage 1) and COVID-19 patients with pneumonia without respiratory failure (stage 2). The receiver operating characteristic (ROC) analysis revealed that IP-10, MIF, MIG, and basic-FGF differentiated patients with COVID-19 from healthy controls with the highest sensitivity and specificity, whereas GM-CSF, basic-FGF, and MIG differentiated asymptomatic/mildly symptomatic COVID-19 patients (stage 1) from COVID-19 patients with pneumonia without respiratory failure (stage 2) with the highest sensitivity and specificity.

Conclusions

MIG, basic-FGF, and GM-CSF can be useful biomarkers for monitoring disease severity in patients with COVID-19.

Neutrophil-to-lymphocyte ratio as a predictor of poor outcomes of Mycoplasma pneumoniae pneumonia

Introduction

Mycoplasma pneumoniae pneumonia (MPP) may lead to various significant outcomes, such as necrotizing pneumonia(NP) and refractory MPP (RMPP). We investigated the potential of the peripheral blood neutrophil-to-lymphocyte ratio (NLR) to predict outcomes in patients with MPP.

Methods and materials

This was a prospective study of patients with MPP who were admitted to our hospital from 2019 to 2021. Demographic and clinical data were collected from patient records and associated with the development of NP and RMPP and other outcome measures.

Results

Of the 1,401 patients with MPP included in the study, 30 (2.1%) developed NP. The NLR was an independent predictor of NP (odds ratio 1.153, 95% confidence interval 1.022-1.300, P=0.021). The probability of NP was greater in patients with a high NLR (≥1.9) than in those with a low NLR (<1.9) (P<0.001). The NLR was also an independent predictor of RMPP (odds ratio 1.246, 95% confidence interval 1.102-1.408, P<0.005). Patients with a high NLR were more likely to develop NP and RMPP and require intensive care, and had longer total fever duration, longer hospital stays, and higher hospitalization expenses than those with a low NLR (all P<0.005).

Discussion

The NLR can serve as a predictor of poor prognosis in patients with MPP. It can predict the occurrence of NP, RMPP, and other poor outcomes. The use of this indicator would allow the simple and rapid prediction of prognosis in the early stages of MPP, enabling the implementation of appropriate treatment strategies.

Unveiling COVID-19 Secrets: Harnessing Cytokines as Powerful Biomarkers for Diagnosis and Predicting Severity

Introduction

In coronavirus disease (COVID-19), inflammation takes center stage, with a cascade of cytokines released, contributing to both inflammation and lung damage. The objective of this study is to identify biomarkers for diagnosing and predicting the severity of COVID-19.

Materials and Methods

Cytokine levels were determined in the serum from venous blood samples collected from 100 patients with COVID-19 and 50 healthy controls. COVID-19 patients classified based on the Modified Early Warning (MEWS) score. Cytokine concentrations were determined with a multiplex ELISA kit (Bio-Plex Pro™ Human Cytokine Screening Panel).

Results

The concentrations of all analyzed cytokines were elevated in the serum of COVID-19 patients relative to the control group, but no significant differences were observed in interleukin-9 (IL-9) and IL-12 p70 levels. In addition, the concentrations of IL-1α, IL-1β, IL-1ra, IL-2Rα, IL-6, IL-12 p40, IL-18, and tumor necrosis factor alpha (TNFα) were significantly higher in symptomatic patients with accompanying pneumonia without respiratory failure (stage 2) than in asymptomatic/mildly symptomatic patients (stage 1).

Conclusion

The study revealed that IL-1ra, IL-2Rα, IL-6, IL-8, IL-12 p40, IL-16, and IL-18 levels serve as potential diagnostic biomarkers in COVID-19 patients. Furthermore, elevated IL-1α levels proved to be valuable in assessing the severity of COVID-19.