The diagnostic and predictive role of NLR, d-NLR and PLR in COVID-19 patients.
Int Immunopharmacol
; 84: 106504, 2020 Jul.
Article
in English
| MEDLINE | ID: covidwho-76298
ABSTRACT
AIM:
To accumulate evidence that indicated the key role played by virus-triggered inflammation in the 2019-novel coronavirus disease (COVID-19) which emerged in Wuhan City and rapidly spread throughout China.METHODS:
Age, neutrophil(NEU)-to-lymphocyte (LYM) ratio (NLR), lymphocyte-to-monocyte (MON) ratio, platelet-to-lymphocyte ratio (PLR), and C-reactive protein (CRP) of 93 patients with laboratory confirmed COVID-19 were investigated and compared. The receiver operating characteristic curve was applied to determine the thresholds for five bio-markers, and their prognostic values were assessed via the Kaplan-Meier curve and multivariate COX regression models.RESULTS:
The median age was 46.4 years old, and 37cases were females. A total of 27.8% of patients had been to Wuhan, and 73.1% had contacted with people from Wuhan. Fever (83.8%) and cough (70.9%) were the two most common symptoms. Elevated NLR and age were significantly associated with illness severity. The binary logistic analysis identified elevated NLR (hazard risk [HR] 2.46, 95% confidence interval [CI] 1.98-4.57) and age (HR 2.52, 95% CI 1.65-4.83) as independent factors for poor clinical outcome of COVID-19. NLR exhibited the largest area under the curve at 0.841, with the highest specificity (63.6%) and sensitivity (88%).CONCLUSIONS:
Elevated age and NLR can be considered independent biomarkers for indicating poor clinical outcomes.Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
Pneumonia, Viral
/
Blood Platelets
/
Lymphocytes
/
Monocytes
/
Coronavirus Infections
/
Betacoronavirus
/
Neutrophils
Type of study:
Diagnostic study
/
Observational study
/
Prognostic study
Limits:
Adult
/
Female
/
Humans
/
Male
/
Middle aged
Language:
English
Journal:
Int Immunopharmacol
Journal subject:
Allergy and Immunology
/
Pharmacology
Year:
2020
Document Type:
Article
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