COVID-19 Hastalarinda Biyokimyasal, Inflamatuar ve Hematolojik Parametrelerin Değerlendirilmesi

Aim: This study aims to evaluate the effects of demographicfactors such as age and gender on routine laboratory parametersin COVID-19 patients. COVID-19 disease can exhibit a wide range ofclinical findings, from mild symptoms to critical multiorgan failure.In this context, the role of biochemical markers in predicting theprognosis of the disease is very important.Material and Method: In the study, biochemical parametersevaluating liver, kidney and heart functions and inflammationmarkers were analyzed in COVID-19 patients depending on ageand gender.Results: Uric acid, Blood urea nitrogen (BUN), Lactatedehydrogenase (LDH), Potassium, C-reactive protein (CRP), CRP/Lymphocyte ratio (CLR), Neutrophil/Lymphocyte ratio (NLR),D-Dimer, Monocyte count (MONO), Fibrinogen, Hematocrit (HCT),White blood cells (WBC), Neutrophil count (NEU) and Plateletdistribution width (PDW) parameters were positively correlatedwith age. In addition, De Ritis ratio (AST/ALT), sodium, Gromerularfiltration rate (EFGR), Red blood cells (RBC), Hemoglobin (HBG) andEosinophil count (EOS) were negatively correlated with age. Inaddition, thrombosis-related markers such as thrombocytopeniaand hypercoagulation increased with age.Conclusion: Our study reveals that inflammatory markers andorgan function deteriorations become evident with age inCOVID-19 patients. It can be concluded that elderly patientsshould be closely monitored and that parameters that showvery significant correlation in the findings section can be used asmarkers to evaluate the prognosis of the disease in this group.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2024-10-31
DOI
https://doi.org/10.5281/zenodo.14032662
Primary Topic
COVID-19 Clinical Research Studies
Type
article
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article

COVID-19 Hastalarinda Biyokimyasal, Inflamatuar ve Hematolojik Parametrelerin Değerlendirilmesi

Zenodo (CERN European Organization for Nuclear Research)
COVID-19 Clinical Research Studies
article

COVID-19 Hastalarinda Biyokimyasal, Inflamatuar ve Hematolojik Parametrelerin Değerlendirilmesi

article en

Abstract

Aim: This study aims to evaluate the effects of demographicfactors such as age and gender on routine laboratory parametersin COVID-19 patients. COVID-19 disease can exhibit a wide range ofclinical findings, from mild symptoms to critical multiorgan failure.In this context, the role of biochemical markers in predicting theprognosis of the disease is very important.Material and Method: In the study, biochemical parametersevaluating liver, kidney and heart functions and inflammationmarkers were analyzed in COVID-19 patients depending on ageand gender.Results: Uric acid, Blood urea nitrogen (BUN), Lactatedehydrogenase (LDH), Potassium, C-reactive protein (CRP), CRP/Lymphocyte ratio (CLR), Neutrophil/Lymphocyte ratio (NLR),D-Dimer, Monocyte count (MONO), Fibrinogen, Hematocrit (HCT),White blood cells (WBC), Neutrophil count (NEU) and Plateletdistribution width (PDW) parameters were positively correlatedwith age. In addition, De Ritis ratio (AST/ALT), sodium, Gromerularfiltration rate (EFGR), Red blood cells (RBC), Hemoglobin (HBG) andEosinophil count (EOS) were negatively correlated with age. Inaddition, thrombosis-related markers such as thrombocytopeniaand hypercoagulation increased with age.Conclusion: Our study reveals that inflammatory markers andorgan function deteriorations become evident with age inCOVID-19 patients. It can be concluded that elderly patientsshould be closely monitored and that parameters that showvery significant correlation in the findings section can be used asmarkers to evaluate the prognosis of the disease in this group.

Zenodo (CERN European Organization for Nuclear Research)
Gender equality
Openalex Percentile: Top 50%
COVID-19 Clinical Research Studies
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COVID-19 Hastalarinda Biyokimyasal, Inflamatuar ve Hematolojik Parametrelerin Değerlendirilmesi · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS