Author: Wang, Ying; Zhao, Jingyi; Yang, Lan; Hu, Junhui; Yao, Yinhui
Title: Value of the Neutrophil-Lymphocyte Ratio in Predicting COVID-19 Severity: A Meta-analysis Cord-id: bj7km9z9 Document date: 2021_10_8
ID: bj7km9z9
Snippet: BACKGROUND: Coronavirus disease 2019 (COVID-19) is highly contagious and continues to spread rapidly. However, there are no simple and timely laboratory techniques to determine the severity of COVID-19. In this meta-analysis, we assessed the potential of the neutrophil-lymphocyte ratio (NLR) as an indicator of severe versus nonsevere COVID-19 cases. METHODS: A search for studies on the NLR in severe and nonsevere COVID-19 cases published from January 1, 2020, to July 1, 2021, was conducted on th
Document: BACKGROUND: Coronavirus disease 2019 (COVID-19) is highly contagious and continues to spread rapidly. However, there are no simple and timely laboratory techniques to determine the severity of COVID-19. In this meta-analysis, we assessed the potential of the neutrophil-lymphocyte ratio (NLR) as an indicator of severe versus nonsevere COVID-19 cases. METHODS: A search for studies on the NLR in severe and nonsevere COVID-19 cases published from January 1, 2020, to July 1, 2021, was conducted on the PubMed, EMBASE, and Cochrane Library databases. The pooled sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, diagnostic odds ratio (DOR), and area under the curve (AUC) analyses were done on Stata 14.0 and Meta-disc 1.4 to assess the performance of the NLR. RESULTS: Thirty studies, including 5570 patients, were analyzed. Of these, 1603 and 3967 patients had severe and nonsevere COVID-19, respectively. The overall sensitivity and specificity were 0.82 (95% confidence interval (CI), 0.77-0.87) and 0.77 (95% CI, 0.70-0.83), respectively; positive and negative correlation ratios were 3.6 (95% CI, 2.7-4.7) and 0.23 (95% CI, 0.17-0.30), respectively; DOR was 16 (95% CI, 10-24), and the AUC was 0.87 (95% CI, 0.84-0.90). CONCLUSION: The NLR could accurately determine the severity of COVID-19 and can be used to identify patients with severe disease to guide clinical decision-making.
Search related documents:
Co phrase search for related documents- absence presence and lymphocyte count: 1, 2, 3, 4, 5, 6
- absence presence and lymphocyte neutrophil: 1, 2, 3, 4, 5
- absence presence and lymphocyte neutrophil ratio: 1
- accurate timely and low lymphocyte count: 1
- accurate timely and low percentage: 1
- accurate timely and lung target: 1
- accurate timely and lymphocyte count: 1
- accurate timely identification and low lymphocyte count: 1
- accurate timely identification and lymphocyte count: 1
- accurately severity predict and lymphocyte count: 1
- accurately severity predict and lymphocyte neutrophil: 1, 2
- accurately severity predict and lymphocyte neutrophil ratio: 1, 2
- admission severity predict and lymphocyte count: 1, 2, 3, 4
- admission severity predict and lymphocyte neutrophil: 1, 2, 3, 4
- admission severity predict and lymphocyte neutrophil ratio: 1, 2, 3, 4
- low lymphocyte count and lymphocyte count: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18, 19, 20, 21, 22, 23, 24, 25
- low lymphocyte count and lymphocyte neutrophil: 1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18
- low lymphocyte count and lymphocyte neutrophil ratio: 1, 2, 3, 4, 5, 6, 7, 8, 9
- low percentage and lymphocyte count: 1, 2, 3, 4
Co phrase search for related documents, hyperlinks ordered by date