tetano
Editor, Senior Moderator
Int Immunopharmacol. 2020 Apr 13;84:106504. doi: 10.1016/j.intimp.2020.106504. [Epub ahead of print]
The diagnostic and predictive role of NLR, d-NLR and PLR in COVID-19 patients.
Yang AP[SUP]1[/SUP], Liu JP[SUP]2[/SUP], Tao WQ[SUP]3[/SUP], Li HM[SUP]4[/SUP].
Author information
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
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.
Copyright ? 2020 Elsevier B.V. All rights reserved.
KEYWORDS:
Age; COVID-19; Neutrophil-to-lymphocyte ratio; Platelet-to-LYM ratio; Predictive
PMID:32304994DOI:10.1016/j.intimp.2020.106504
The diagnostic and predictive role of NLR, d-NLR and PLR in COVID-19 patients.
Yang AP[SUP]1[/SUP], Liu JP[SUP]2[/SUP], Tao WQ[SUP]3[/SUP], Li HM[SUP]4[/SUP].
Author information
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
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.
Copyright ? 2020 Elsevier B.V. All rights reserved.
KEYWORDS:
Age; COVID-19; Neutrophil-to-lymphocyte ratio; Platelet-to-LYM ratio; Predictive
PMID:32304994DOI:10.1016/j.intimp.2020.106504