Evidence map›Paper›PMID 32566572›Full record

ArticleAnnals of translational medicine2020

Combined use of the neutrophil-to-lymphocyte ratio and CRP to predict 7-day disease severity in 84 hospitalized patients with COVID-19 pneumonia: a retrospective cohort study.

Yue-Ping Liu, Gao-Ming Li, Jun He, Ying Liu, Min Li, Rui Zhang, Ya-Lan Li, Ya-Zhou Wu, Bo Diao

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Article in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
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49citing papers in PubMed, 7 pooled it
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

49 citing papers in PubMed, 7 syntheses or guidelines pooled it.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Yue-Ping LiuDepartment of Medical Laboratory Center, General Hospital of Central Theater Command, Wuhan 430015, China.
Gao-Ming LiDepartment of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing 400038, China.
Jun HeDepartment of Medical Laboratory Center, General Hospital of Central Theater Command, Wuhan 430015, China.
Ying LiuDepartment of Medical Laboratory Medicine, General Hospital of Central Theater Command, Wuhan 430015, China.
Min LiDepartment of Medical Laboratory Center, General Hospital of Central Theater Command, Wuhan 430015, China.
Rui ZhangDepartment of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing 400038, China.
Ya-Lan LiDepartment of Medical Laboratory Center, General Hospital of Central Theater Command, Wuhan 430015, China.
Ya-Zhou WuDepartment of Health Statistics, College of Preventive Medicine, Army Medical University, Chongqing 400038, China.
Bo DiaoDepartment of Medical Laboratory Center, General Hospital of Central Theater Command, Wuhan 430015, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCoronavirus disease 2019 (COVID-19) has spread rapidly worldwide from Wuhan. An easy-to-use index capable of the early identification of inpatients who are at risk of becoming critically ill is urgently needed in clinical practice. Hence, the aim of this study was to explore an easy-to-use nomogram and a model to triage patients into risk categories to determine the likelihood of developing a critical illness.

methodsA retrospective cohort study was conducted. We extracted data from 84 patients with laboratory-confirmed COVID-19 from one designated hospital. The primary endpoint was the development of severe/critical illness within 7 days after admission. Predictive factors of this endpoint were selected by LASSO Cox regression model. A nomogram was developed based on selected variables. The predictive performance of the derived nomogram was evaluated by calibration curves and decision curves. Additionally, the predictive performances of individual and combined variables under study were evaluated by receiver operating characteristic curves. The developed model was also tested in a separate validation set with 71 laboratory-confirmed COVID-19 patients.

resultsNone of the 84 inpatients were lost to follow-up in this retrospective study. The primary endpoint occurred in 23 inpatients (27.4%). The neutrophil-to-lymphocyte ratio (NLR) and C-reactive protein (CRP) were selected as the final prognostic factors. A nomogram was developed based on the NLR and CRP. The calibration curve and decision curve indicated that the constructed nomogram model was clinically useful. The AUCs for the NLR, CRP and Combined Index in both training set and validation sets were 0.685 (95% CI: 0.574-0.783), 0.764 (95% CI: 0.659-0.850), 0.804 (95% CI: 0.702-0.883), and 0.881 (95% CI: 0.782-0.946), respectively.

conclusionsOur results demonstrated that the nomogram and Combined Index calculated from the NLR and CRP are potential and reliable predictors of COVID-19 prognosis and can triage patients at the time of admission.

Indexed as

Coronavirus disease 2019 (COVID-19)C-reactive protein (CRP)neutrophil-to-lymphocyte ratio (NLR)prognosticsevere acute respiratory syndrome coronavirus 2 (SARS-CoV-2)

Identifiers

PMID32566572
PMCPMC7290615

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.