Hematological and Inflammatory Parameters to Predict the Prognosis in COVID-19

Hematological parameters to predict post-COVID-19 immune response among vaccinated and nonvaccinated individuals: a retrospective cross-sectional study

Background

This study finds the changes in the hematological parameters of healthy individuals to predict the immune status against coronavirus disease 2019 (COVID-19) among COVID -19 vaccinated and nonvaccinated individuals.

Methods

A comparative cross-sectional study among 210 healthy individuals was conducted. All individuals were divided into three groups, that is, IgG positive, IgG negative, and IgG and IgM positive, based on ELISA. Data analysis was done using SPSS version 25 for Windows.

Results

A statistically significant effect was found among the three groups in terms of mean levels of hemoglobin (Hb), hematocrit (Hct), mean corpuscular hemoglobin concentration (MCHC), red blood cells (RBC), RDW-CV, lymphocyte, neutrophil, eosinophils, and basophil count. The study also showed that 52.8% (n=74) had neither taken vaccination nor had any history of previous COVID-19 infection but were IgG antibody positive.

Conclusion

There was a statistically significant difference among hematological parameters between immune and nonimmune groups, and it can predict the COVID-19 immune status.

The role of platelet large cell ratio in determining mortality in COVID-19 patients

Inflammatory mechanisms have been implicated and have been subject to research in the clinical course of COVID-19 patients. In this study, platelet large cell ratio (P-LCR) has been examined as a novel prognostic and inflammatory parameter. A total of 1992 COVID-19-positive patients admitted to COVID-19 unit of Infectious Diseases were included. In order to identify a potential relationship between P-LCR and mortality, surviving patients were compared with subjects who died as a result of the disease. Although P-LCR levels showed a steady increase in all COVID-19 patients after admission, they were significantly higher in those who eventually died (P < .001), indicating a positive correlation between mortality and P-LCR. The P-LCR levels of patients followed up in the intensive care unit were statistically significantly higher than those followed up in the ward (P < .001). P-LCR levels of patients intubated in intensive care unit were statistically significantly higher than those who were not intubated (P < .001). Also, P-LCR levels were subdivided into 3 categories as normal, low, and elevated. Elevated P-LCR was found to be positively correlated with leukocyte count, neutrophil count, D-dimer, troponin, ferritin, and C-Reactive Protein (CRP) and showed negative correlation with fibrinogen, lymphocyte count, and platelet count. As P-LCR was correlated with the severity of inflammation in all COVID-19 patients, it was significantly higher in those patients who died. Elevated P-LCR was considered to be associated with the risk of severe disease and death. This inexpensive, readily available test may be incorporated into our clinical practice as a novel marker of poor prognosis in addition to other valuable laboratory parameters.

Long-Term Risk of Reduced Cognitive Performance and Associated Factors in Discharged Older Adults with COVID-19: A Longitudinal Prospective Study

BACKGROUND

Increasing numbers of reports have suggested a deterioration in cognitive performance after recovery from coronavirus disease 2019 (COVID-19), however insufficient information is available regarding long-term brain health and risk factors related to reduced cognitive performance in advanced age. We investigated the prevalence of reduced cognitive performance and its associated factors among older adults after COVID-19.

METHODS

This prospective observational study enrolled older individuals (aged ≥65 years) hospitalized for COVID-19. Discharged patients were contacted after an average of 15 months and a brief battery was administered during telephone interviews to assess their mental status.

RESULTS

Among the 174 patients, 77 (44.3%) showed reduced cognitive performance at follow-up. Multivariate analysis revealed that female sex, education level, and increased Deyo/Charlson Comorbidity Index score, which is an objective indicator of chronic disease burden, were independent risk factors for long-term cognitive performance. Depression and anxiety symptoms, assessed using the Patient Health Questionnaire-2 and Generalized Anxiety Disorder 2-item questionnaire at the end of the study, were not associated with reduced cognitive performance.

CONCLUSION

Our findings provide key insights into discharged older adults with COVID-19 at risk of long-term cognitive impairment, and help to ascertain the factors associated with this problem.

Serum Matrix Metalloproteinase-2: A Possible Link between COVID-19 and Periodontitis

Background: Coronavirus disease-19 (COVID-19) is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).  It is a severe infection primarily targeting the respiratory system. However, many other extrapulmonary body organs are also affected with a varying degree of severity. Some evidence indicated the development of periodontist in patients, although the pathogenesis is not well-defined. Aims: This study aimed to investigate the association of COVID-19 severity and role of matrix metalloproteinase 2 in development of periodontitis. Patients and Methods: This is a cross sectional study which included a total of 160 patients with COVID-19. Patients were categorized into severe and mild-moderated according to World Health Organization criteria. Periodontitis was diagnosed in those patients according to clinical criteria. Serum level of matrix metalloproteinase 2 was estimated in all patients using enzyme linked immunosorbent assay (ELISA). Demographic and laboratory data were obtained from the patients’ records. Results: Forty-two patients (26.25%) had severe COVID-19. Demographically, older ages and the presence of comorbidities were significantly associated with COVID-19 severity. Besides the inflammatory markers, the median serum level of MMP-2 was higher in severe than mild-moderate COVID-19 cases (208.12 ng/ml vs. 196.33 ng/ml) with a significant difference. The PO rate in severe and mild-moderate COVID-19 was 23.81% and 10.17%, respectively, with a significant difference. The median serum MMP-2 in patients with PO was 228.5 ng/ml which was significantly higher than those without PO 193.81 ng/ml. Conclusions: These data indicate the significant association between COVID-19 severity and development of PO. Matrix metalloproteinase-2 could be the possible link between severe COVID-19 and PO.

Negative predictive value of procalcitonin to rule out bacterial respiratory co-infection in critical covid-19 patients

Background

: Procalcitonin (PCT) and C-Reactive Protein (CRP) are useful biomarkers to differentiate bacterial from viral or fungal infections, although the association between them and co-infection or mortality in COVID-19 remains unclear.

Methods

: The study represents a retrospective cohort study of patients admitted for COVID-19 pneumonia to 84 ICUs from ten countries between (March 2020-January 2021). Primary outcome was to determine whether PCT or CRP at admission could predict community-acquired bacterial respiratory co-infection (BC) and its added clinical value by determining the best discriminating cut-off values. Secondary outcome was to investigate its association with mortality. To evaluate the main outcome, a binary logistic regression was performed. The area under the curve evaluated diagnostic performance for BC prediction.

Results

: 4635 patients were included, 7.6% fulfilled BC diagnosis. PCT (0.25[IQR 0.1-0.7] versus 0.20[IQR 0.1-0.5]ng/mL, p<0.001) and CRP (14.8[IQR 8.2-23.8] versus 13.3 [7-21.7]mg/dL, p=0.01) were higher in BC group. Neither PCT nor CRP were independently associated with BC and both had a poor ability to predict BC (AUC for PCT 0.56, for CRP 0.54). Baseline values of PCT<0.3ng/mL, could be helpful to rule out BC (negative predictive value 91.1%) and PCT≥0.50ng/mL was associated with ICU mortality (OR 1.5,p<0.001).

Conclusions

: These biomarkers at ICU admission led to a poor ability to predict BC among patients with COVID-19 pneumonia. Baseline values of PCT<0.3ng/mL may be useful to rule out BC, providing clinicians a valuable tool to guide antibiotic stewardship and allowing the unjustified overuse of antibiotics observed during the pandemic, additionally PCT≥0.50ng/mL might predict worsening outcomes.

Use of Radiology, D-Dimer, and Mean Platelet Volume Combination as a Prognostic Marker in Hospitalized Coronavirus Disease-19 Patients

Introduction

The search for biomarkers that could help in predicting disease prognosis in the Coronavirus Disease-2019 (COVID-19) outbreak is still high on the agenda.

Objective

To find out the efficacy of D-dimer and mean platelet volume (MPV) combination as a prognostic marker in hospitalized COVID-19 patients with bilateral infiltration.

Materials and Methods

Study design: Retrospective observational cohort. Patients who were presented to our hospital between March 16, 2020 and June 07, 2020 were reviewed retrospectively. The primary outcome of the study was specified as the need for intensive care, while the secondary outcomes were duration of treatment and hospitalization. Receiver operator curve (ROC) analyzes were carried out to assess the efficacy of D-dimer and MPV parameters as prognostic markers.

Results

Between the mentioned dates, 575 of 1,564 patients were found to be compatible with COVID-19, and the number of patients who were included in the study was 306. The number of patients who developed the need for intensive care was 40 (13.1%). For serum D-dimer levels in assessing the need for intensive care, the area under the curve (AUC) was found to be 0.707 (95% CI: 0.620–0.794). The AUC for MPV was 0.694 (95% CI: 0.585–0.803), when D-dimer was ≥1.0 mg/L. When patients with a D-dimer level of ≥1.0 mg/L were divided into two groups considering the MPV cut-off value as 8.1, the rate of intensive care transport was found to be significantly higher in patients with an MPV of ≥8.1 fL compared to those with an MPV of &lt;8.1 fL (32.6 vs. 16.0%, p = 0.043). For the prognostic efficacy of the combination of D-dimer ≥ 1.0 mg/L and MPV ≥ 8.1 fL in determining the need for intensive care, following values were determined: sensitivity: 57.7%, specificity: 70.8%, positive predictive value (PPV): 32.0%, negative predictive value (NPV): 84.0%, and accuracy: 63.0%. When D-dimer was ≥1.0, the median duration of treatment in MPV &lt;8.1 and ≥8.1 groups was 5.0 [interquartile range (IQR): 5.0–10.0] days for both groups (p = 0.64). The median length of hospital stay (LOS) was 7.0 (IQR: 5.0–10.5) days in the MPV &lt;8.1 group, while it was 8.5 (IQR: 5.0–16.3) days in the MPV ≥ 8.1 group (p = 0.17).

Conclusion

In COVID-19 patients with a serum D-dimer level of at least 1.0 mg/L and radiological bilateral infiltration at hospitalization, if the MPV value is ≥8.1, we could predict the need for intensive care with moderate efficacy and a relatively high negative predictive value. However, no correlation could be found between this combined marker and the duration of treatment and the LOS.

Characterization of Covid-19 infected pregnant women sera using laboratory indexes, vibrational spectroscopy, and machine learning classifications

Herein, we show differences in blood serum of asymptomatic and symptomatic pregnant women infected with COVID-19 and correlate them with laboratory indexes, ATR FTIR and multivariate machine learning methods. We collected the sera of COVID-19 diagnosed pregnant women, in the second trimester (n = 12), third-trimester (n = 7), and second-trimester with severe symptoms (n = 7) compared to the healthy pregnant (n = 11) women, which makes a total of 37 participants. To assign the accuracy of FTIR spectra regions where peak shifts occurred, the Random Forest algorithm, traditional C5.0 single decision tree algorithm and deep neural network approach were used. We verified the correspondence between the FTIR results and the laboratory indexes such as: the count of peripheral blood cells, biochemical parameters, and coagulation indicators of pregnant women. CH₂ scissoring, amide II, amide I vibrations could be used to differentiate the groups. The accuracy calculated by machine learning methods was higher than 90%. We also developed a method based on the dynamics of the absorbance spectra allowing to determine the differences between the spectra of healthy and COVID-19 patients. Laboratory indexes of biochemical parameters associated with COVID-19 validate changes in the total amount of proteins, albumin and lipase.

Identification of hematological and inflammatory parameters associated with disease severity in hospitalized patients of COVID-19

Background and Objectives:

India has emerged as the second worst hit nation by the Coronavirus pandemic in terms of total number of cases. Our data on hematological and inflammatory markers associated with COVID-19 is very limited. This study was conducted to assess the utility of various biomarkers in identifying severe disease.

Materials and Methods:

All confirmed cases of COVID-19 admitted in our tertiary care centre from 1^st March 2021 to 31^st March 2021 were enrolled in the study. They were categorized into severe and non-severe disease categories based on pre-decided criteria. Their complete blood count parameters, D-dimer levels, serum C-reactive protein (CRP), ferritin and Lactate dehydrogenase (LDH) values were retrieved.

Statistical Analysis:

All parameters were expressed as Mean ± Standard deviation for the two groups of patients. Student's t-test was used to test significance of the above markers between severe and non- severe disease. (P value < 0.05 was taken as statistically significant).

Results:

A total of 150 COVID RT-PCR positive patients were evaluated. The patients with higher Absolute Neutrophil Count (ANC), Neutrophil to lymphocyte Ratio (NLR), Platelet to lymphocyte ratio (PLR), D-dimer levels and raised serum CRP, LDH, ferritin along with lymphocytopenia were associated with severe disease (P < 0.05). Hemoglobin, total leucocyte count and platelet count showed no correlation with disease severity.

Conclusion:

These biomarkers associated with disease severity especially NLR, PLR, D-dimer and serum CRP levels could be used to triage patients at the time of admission thereby identifying those requiring intensive care and enabling optimal resource utilization.

SARS-CoV-2 Infection: Differences in Hematological Parameters Between Adults and Children

Since December 2019, corona virus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) has become a global pandemic, posing a huge threat to human health, and the current epidemic prevention situation is still severe. Hematological parameters directly reflect the damage of SARS-CoV-2 to human blood cells, which can better assess the severity and prognosis of patients infected with COVID-19, but hematological parameters have some differences between adults and children. This article comprehensively reviews the differences in hematological parameters between adults and children after SARS-CoV-2 infection, and provides a reference for the diagnosis and treatment of COVID-19.

Elevated Procalcitonin Is Positively Associated with the Severity of COVID-19: A Meta-Analysis Based on 10 Cohort Studies

Background and Objectives: Procalcitonin (PCT) is positively associated with the severity of COVID-19 (including severe, critical, or fatal outcomes), but some of the confounding factors are not considered. The aim of this meta-analysis was to estimate the adjusted relationship between elevated procalcitonin on admission and the severity of COVID-19. Materials and Methods: We searched 1805 articles from PubMed, Web of Science, and Embase databases up to 2 April 2021. The articles were selected which reported the adjusted relationship applying multivariate analysis between PCT and the severity of COVID-19. The pooled effect estimate was calculated by the random-effects model. Results: The meta-analysis included 10 cohort studies with a total of 7716 patients. Patients with elevated procalcitonin on admission were at a higher risk of severe and critical COVID-19 (pooled effect estimate: 1.77, 95% confidence interval (CI): 1.38–2.29; I² = 85.6%, p < 0.001). Similar results were also observed in dead patients (pooled effect estimate: 1.77, 95% CI: 1.36–2.30). After adjusting for diabetes, the positive association between PCT and the severity of COVID-19 decreased. Subgroup analysis revealed heterogeneity between studies and sensitivity analysis showed that the results were robust. There was no evidence of publication bias by Egger’s test (p = 0.106). Conclusions: Higher procalcitonin is positively associated with the severity of COVID-19, which is a potential biomarker to evaluate the severity of COVID-19 and predict the prognosis.

Micronutrient therapy and effective immune response: a promising approach for management of COVID-19

The escalating prevalence of coronavirus disease 2019 (COVID-19) worldwide, with an increased rate of morbidity and mortality, highlights an urgent need to develop more effective therapeutic interventions. Despite the authorized treatment against COVID-19 by the European Union (EU), the safety and effectiveness of this therapeutic strategy for a wide variety of patients have remained a significant challenge. In this respect, micronutrients such as vitamins and minerals, as essential factors, can be considered for improving the function of the immune system and accelerating the treatment procedure. Dietary supplements can attenuate vascular and inflammatory manifestations related to infectious diseases in large part due to their anti-inflammatory and antioxidant properties. Recently, it has been revealed that poor nutritional status may be one of the notable risk factors in severe COVID-19 infections. In the current review, we focus on the micronutrient therapy of COVID-19 patients and provide a comprehensive insight into the essential vitamins/minerals and their role in controlling the severity of the COVID-19 infection. We also discuss the recent advancements, challenges, negative and positive outcomes in relevance to this approach.