ArticleOpen forum infectious diseases2020
Differentiating Between 2019 Novel Coronavirus Pneumonia and Influenza Using a Nonspecific Laboratory Marker-Based Dynamic Nomogram.
Article in Open forum infectious diseases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Dynamic Nomogram for Predicting the Fall Risk of Stroke Patients: An Observational Study.Clinical interventions in aging · 2025Observational
- Comparative study of hematological and radiological feature of severe/critically ill patients with COVID-19, influenza A H7N9, and H1N1 pneumonia.Journal of clinical laboratory analysis · 2021Article
- Application of a prediction model with laboratory indexes in the risk stratification of patients with COVID-19.Experimental and therapeutic medicine · 2021Article
- Interest of the cellular population data analysis as an aid in the early diagnosis of SARS-CoV-2 infection.International journal of laboratory hematology · 2021Article
- Observational
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24 authors.
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Abstract
backgroundThere is currently a lack of nonspecific laboratory indicators as a quantitative standard to distinguish between the 2019 coronavirus disease (COVID-19) and an influenza A or B virus infection. Thus, the aim of this study was to establish a nomogram to detect COVID-19.
methodsA nomogram was established using data collected from 457 patients (181 with COVID-19 and 276 with influenza A or B infection) in China. The nomogram used age, lymphocyte percentage, and monocyte count to differentiate COVID-19 from influenza.
resultsOur nomogram predicted probabilities of COVID-19 with an area under the receiver operating characteristic curve of 0.913 (95% confidence interval [CI], 0.883-0.937), greater than that of the lymphocyte:monocyte ratio (0.849; 95% CI, 0.812-0.880;
conclusionsWe found that age, lymphocyte percentage, and monocyte count are risk factors for the early-stage prediction of patients infected with the 2019 novel coronavirus. As such, our research provides a useful test for doctors to differentiate COVID-19 from influenza.
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