IL-6 and Neutrophil/Lymphocyte Ratio as Markers of ICU Admittance in SARS-CoV-2 Patients with Diabetes.
COVID-19
coagulopathy
diabetes mellitus
inflammation
severity
Journal
International journal of molecular sciences
ISSN: 1422-0067
Titre abrégé: Int J Mol Sci
Pays: Switzerland
ID NLM: 101092791
Informations de publication
Date de publication:
05 Oct 2023
05 Oct 2023
Historique:
received:
31
08
2023
revised:
18
09
2023
accepted:
28
09
2023
medline:
23
10
2023
pubmed:
14
10
2023
entrez:
14
10
2023
Statut:
epublish
Résumé
Inflammation along with coagulation disturbances has an essential role in the evolution towards a severe disease in patients with the coronavirus disease 2019 (COVID-19). This study aimed to evaluate inflammatory and coagulation biomarkers when predicting the need to visit an intensive care unit (ICU) in diabetes mellitus (DM) patients. In a retrospective study, laboratory parameters were examined for 366 participants: ICU = 90, of which 44 patients had DM and no ICU admittance = 276. The ability of inflammatory and coagulation markers to distinguish the severity of COVID-19 was determined using univariate and multivariate regression analysis. In all patients, lactate dehydrogenase was the only predictor for ICU admittance in the multivariate analysis. In the DM group, the results showed that the interleukin (IL)-6 and neutrophil/lymphocyte ratio (NLR) values at admission could predict the need for ICU admittance. Even though there were significant differences between the ICU and no ICU admittance groups regarding the coagulation markers, they could not predict the severity of the disease in DM patients. The present study showed for the first time that the IL-6 and NLR admission values could predict ICU admittance in DM patients. This finding could help clinicians manage the infection more easily if the COVID-19 pandemic strikes again.
Identifiants
pubmed: 37834356
pii: ijms241914908
doi: 10.3390/ijms241914908
pmc: PMC10573809
pii:
doi:
Substances chimiques
Interleukin-6
0
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
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