Correlation Between IL-8, C-Reactive Proteins (CRP) and Neutrophil to Lymphocyte Ratio (NLR) as Predictor of Mortality in COVID-19 Patients with Diabetes Mellitus Comorbidity.
Int J Gen Med
; 16: 2349-2354, 2023.
Article
em En
| MEDLINE
| ID: mdl-37313045
ABSTRACT
Background:
COVID-19 is caused by SARS-CoV-2 and has a wide range of symptoms. While Diabetes Mellitus (DM) is a common comorbidity in COVID-19 patients, it is the main comorbidity in non-surviving COVID-19 patients. Interleukin-8 (IL-8) is a cytokine that has been correlated with severity and mortality in COVID-19 patients, but its role in COVID-19 patients with DM comorbidity and its relationship with NLR and CRP as markers of inflammation are not yet fully understood.Objective:
To investigate the correlation between IL-8, NLR, and CRP in COVID-19 patients with DM comorbidity.Methods:
A cross-sectional study was conducted at the Integrated Infectious Disease Installation of Dr. Saiful Anwar Malang Hospital from June to November 2021 using consecutive sampling. IL-8 was measured using the ELISA method with Legendmax® Human IL-8. NLR was measured using flow cytometry, while CRP was measured using the immunoturbidimetric method with Cobas C6000®. Patient outcomes were obtained from medical records.Results:
A total of 124 research subjects participated in the study. IL-8 and CRP levels were significantly higher (p < 0.05) in COVID-19 patients with DM comorbidity, and were also significantly higher (p < 0.05) in non-surviving COVID-19 patients. Overall, there was a positive correlation between IL-8 and CRP (r = 0.58, p < 0.05). There was also a positive correlation between IL-8 (r = 0.58; p < 0.05), NLR (r = 0.45, p < 0.05), CRP (r = 0.54, p < 0.05) and mortality in COVID-19 patients with DM comorbidity. The presence of DM comorbidity increased IL-8 levels and aggravated inflammation in COVID-19 patients, thereby increasing the risk of mortality.Conclusion:
IL-8, CRP and NLR levels were higher in non-surviving COVID-19 patients with DM comorbidity, indicating that they could serve as good predictors of poor outcomes in this patient population.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Tipo de estudo:
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Idioma:
En
Ano de publicação:
2023
Tipo de documento:
Article