DYNAMIC CHANGES OF HEMATOLOGICAL AND HEMOSTATIC PARAMETERS IN COVID-19 HOSPITALIZED PATIENTS: POTENTIAL ROLE AS SEVERITY BIOMARKERS FOR THE CHILEAN POPULATION

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datacite.alternateIdentifier.citationJOURNAL OF MEDICAL BIOCHEMISTRY,Vol.43,556-564,2024
datacite.alternateIdentifier.doi10.5937/jomb0-47588
datacite.creatorLetelier, Pablo
datacite.creatorDelgado, Hugo
datacite.creatorGarrido, Felipe
datacite.creatorQuinones, Francisco
datacite.creatorSan Martin, Andres
datacite.creatorHernandez, Loreto
datacite.creatorGarces, Paola
datacite.creatorGuzman Oyarzo, Dina
datacite.creatorBoguen, Rodrigo
datacite.creatorHernandez, Alfonso
datacite.creatorMedina, Gustavo
datacite.creatorSchwerter, Patricia
datacite.creatorGuzman, Neftali
datacite.date2024
datacite.subject.englishCOVID-19
datacite.subject.englishSARS-CoV-2
datacite.subject.englishhematology
datacite.subject.englishlaboratory markers
datacite.subject.englishprognosis
datacite.titleDYNAMIC CHANGES OF HEMATOLOGICAL AND HEMOSTATIC PARAMETERS IN COVID-19 HOSPITALIZED PATIENTS: POTENTIAL ROLE AS SEVERITY BIOMARKERS FOR THE CHILEAN POPULATION
dc.date.accessioned2024-09-10T18:47:11Z
dc.date.available2024-09-10T18:47:11Z
dc.description.abstractBackground: COVID-19 is still a global health issue, there is limited evidence in South America regarding laboratory biomarkers associated with severe disease. The objective of our study was to identify hematological and hemostatic changes associated with severe COVID-19. Methods: A total of 170 hospitalized patients with COVID19 were included in the study, defining their severity according to established criteria. Demographic, clinical, and laboratory (days 1, 3, 7, 15) data were obtained. We performed a statistical analysis, assuming significance with a value of p < 0.05. We analyzed the correlation between severity and biomarkers and established cut-off values for severe patients through ROC curves, estimating Odds Ratio associated with severe disease. Results: Day 1 was observed significant differences between moderate vs severe patients for leukocytes (WBC), Neutrophil-lymphocyte ratio (NLR), platelet-lymphocyte ratio (PLR) and D-dimer, establishing cut-off points for each of them. The markers we found associated to risk of severe disease were WBC ( OR =3.2396; p = 0.0003), NLR ( OR =5.7084; p < 0.0001), PLR ( OR =4.4094; p < 0.0001), Neutrophil ( OR =4.1193; p < 0.0001), D-dimer ( OR =2.7827; p = 0.0124). Conclusions: The results allow to establish basic laboratory biomarkers associated to severe disease, which could be used as prognostic markers.
dc.identifier.urihttps://repositoriodigital.uct.cl/handle/10925/5974
dc.language.isoen
dc.publisherSOC MEDICAL BIOCHEMISTS SERBIA
dc.sourceJOURNAL OF MEDICAL BIOCHEMISTRY
oaire.resourceTypeArticle
uct.indizacionSCI
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