Details

Autor(en) / Beteiligte

• Yang, Ai-Ping
• Liu, Jian-ping
• Tao, Wen-qiang
• Li, Hui-ming

Titel

The diagnostic and predictive role of NLR, d-NLR and PLR in COVID-19 patients

Ist Teil von

• International immunopharmacology, 2020-07, Vol.84, p.106504-106504, Article 106504

Ort / Verlag

Netherlands: Elsevier B.V

Erscheinungsjahr

2020

Quelle

MEDLINE

Beschreibungen/Notizen

• •The COVID-19 emerged in Wuhan City and rapidly spread throughout China.•NLR exhibited the largest area under the curve, with the highest specificity and sensitivity.•Elevated NLR can be considered independent biomarkers for indicating poor clinical outcomes. 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. 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. 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%). Elevated age and NLR can be considered independent biomarkers for indicating poor clinical outcomes.