Association between Hematological Parameters and Severity of Covid-19 Infections.
COVID-19; Droplet spread; Inflammation; Hematological; Pandemic; SARS-CoV-2
Journal
F1000Research
ISSN: 2046-1402
Titre abrégé: F1000Res
Pays: England
ID NLM: 101594320
Informations de publication
Date de publication:
2024
2024
Historique:
accepted:
30
08
2024
medline:
15
10
2024
pubmed:
15
10
2024
entrez:
15
10
2024
Statut:
epublish
Résumé
This study aimed to determine the relationships between hematological parameters- hemoglobin, Total Leucocyte Counts (TLC), platelet counts, Absolute Neutrophil Counts (ANC), Absolute Lymphocyte Counts (ALC), Neutrophil Lymphocyte Ratio (NLR), Systemic Immune Inflammatory Index (SII), Neutrophil Monocyte Ratio (NMR), Platelet Lymphocyte Ratio (PLR) and the severity of COVID 19 infections and their use in predicting severity of COVID-19 infections. This was a prospective, observational, single-center study of 573 symptomatic adult inpatients of COVID 19 admitted to our tertiary care center. The above-mentioned hematological parameter levels were noted and compared between the two categories of COVID-19 infection, namely non-severe and severe COVID-19 using logistic regression methods. Their cut-off values were detected using the ROC curve. The median TLC, ANC, NLR, SII, NMR, PLR were notably higher in patients with severe COVID-19 than in those with non-severe COVID-19. Logistic regression analysis showed that NMR (OR=1.029, p=0.006) and ALC (OR=0.999, p=0.002) were statistically significant independent predictors of COVID-19 severity. The hematological parameters mentioned, can be used for predicting severe COVID-19 infections at admission. ALC and NMR levels could be used as hematological markers to predict severity of COVID-19 in adult patients with their cut off values being < 1105 cells/cubic millimeter and > 10.434 respectively.
Sections du résumé
Background
UNASSIGNED
This study aimed to determine the relationships between hematological parameters- hemoglobin, Total Leucocyte Counts (TLC), platelet counts, Absolute Neutrophil Counts (ANC), Absolute Lymphocyte Counts (ALC), Neutrophil Lymphocyte Ratio (NLR), Systemic Immune Inflammatory Index (SII), Neutrophil Monocyte Ratio (NMR), Platelet Lymphocyte Ratio (PLR) and the severity of COVID 19 infections and their use in predicting severity of COVID-19 infections.
Methods and Material
UNASSIGNED
This was a prospective, observational, single-center study of 573 symptomatic adult inpatients of COVID 19 admitted to our tertiary care center.
Statistical analysis used
UNASSIGNED
The above-mentioned hematological parameter levels were noted and compared between the two categories of COVID-19 infection, namely non-severe and severe COVID-19 using logistic regression methods. Their cut-off values were detected using the ROC curve.
Results
UNASSIGNED
The median TLC, ANC, NLR, SII, NMR, PLR were notably higher in patients with severe COVID-19 than in those with non-severe COVID-19. Logistic regression analysis showed that NMR (OR=1.029, p=0.006) and ALC (OR=0.999, p=0.002) were statistically significant independent predictors of COVID-19 severity.
Conclusions
UNASSIGNED
The hematological parameters mentioned, can be used for predicting severe COVID-19 infections at admission. ALC and NMR levels could be used as hematological markers to predict severity of COVID-19 in adult patients with their cut off values being < 1105 cells/cubic millimeter and > 10.434 respectively.
Identifiants
pubmed: 39403681
doi: 10.12688/f1000research.148734.2
pmc: PMC11472279
doi:
Banques de données
figshare
['10.6084/m9.figshare.25299151.v1']
Types de publication
Journal Article
Observational Study
Langues
eng
Sous-ensembles de citation
IM
Pagination
517Informations de copyright
Copyright: © 2024 Krishnan G et al.
Déclaration de conflit d'intérêts
No competing interests were disclosed.