Evidence map›Paper›PMID 37250103›Full record

ArticleJournal of inflammation research2023

Neutrophil/Lymphocyte Ratio (NLR) and Lymphocyte/Monocyte Ratio (LMR) - Risk of Death Inflammatory Biomarkers in Patients with COVID-19.

Violetta Dymicka-Piekarska, Justyna Dorf, Anna Milewska, Mateusz Łukaszyk, Jakub Wiktor Kosidło, Joanna Kamińska, Blanka Wolszczak-Biedrzycka, Wojciech Naumnik

Abstract read
In one paragraph

Article in Journal of inflammation research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 30 papers.

0numbers the graph read from it
0cells of the map it votes in
30citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

30 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Violetta Dymicka-Piekarska *Department of Clinical Laboratory Diagnostics, Medical University of Bialystok, Białystok, Poland.ORCID 0000-0003-4170-0997
Justyna Dorf *Department of Clinical Laboratory Diagnostics, Medical University of Bialystok, Białystok, Poland.ORCID 0000-0003-2391-3307
Anna MilewskaDepartment of Biostatistics and Medical Informatics, Medical University of Bialystok, Białystok, Poland.
Mateusz ŁukaszykTemporary Hospital No 2 of Clinical Hospital in Bialystok, 1st Department of Lung Diseases and Tuberculosis, Medical University of Bialystok, Białystok, Poland.
Jakub Wiktor KosidłoStudents Scientific Club at the Department of Clinical Laboratory Diagnostics, Medical University of Bialystok, Bialystok, Poland.
Joanna KamińskaDepartment of Clinical Laboratory Diagnostics, Medical University of Bialystok, Białystok, Poland.ORCID 0000-0002-2986-4852
Blanka Wolszczak-BiedrzyckaDepartment of Psychology and Sociology of Health and Public Health, University of Warmia and Mazury in Olsztyn, Olsztyn, Poland.ORCID 0000-0003-4724-4689
Wojciech NaumnikTemporary Hospital No 2 of Clinical Hospital in Bialystok, 1st Department of Lung Diseases and Tuberculosis, Medical University of Bialystok, Białystok, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Aim: The aim of our retrospective study was search for new prognostic parameters, which can help quickly and cheaply identify patients with risk for severe course of SARS-CoV-2 infection. Materials and Methods: The following peripheral blood combination biomarkers were calculated: NLR (neutrophil/lymphocytes ratio), LMR (lymphocyte/monocyte ratio), PLR (platelet/lymphocyte ratio), dNLR (neutrophils/(white blood cells - neutrophils)), NLPR (neutrophil/(lymphocyte × platelet ratio)) in 374 patients who were admitted to the Temporary Hospital no 2 of Clinical Hospital in Bialystok (Poland) with COVID-19. The patients were divided into four groups depending on the severity of the course of COVID-19 using MEWS classification. Results: The NLR and dNLR were significantly increased with the severity of COVID-19, according to MEWS score. The AUC for the assessed parameters was higher in predicting death in patients with COVID-19: NLR (0.656, p=0.0018, cut-off=6.22), dNLR (0.615, p=0.02, cut-off=3.52) and LMR (0.609, p=0.03, cut-off=2.06). Multivariate COX regression analysis showed that NLR median above 5.56 (OR: 1.050, P=0.002), LMR median below 2.23 (OR: 1.021, P=0.011), and age >75 years old (OR: 1.072, P=0.000) had a significant association with high risk of death during COVID-19. Conclusion: Our results indicate that NLR, dNLR, and LMR calculated on admission to the hospital can quickly and easy identify patients with risk of a more severe course of COVID-19. Increase NLR and decrease LMR have a significant predictive value in COVID-19 patient's mortality and might be a potential biomarker for predicting death in COVID-19 patients.

Indexed as

biomarkerCOVID-19dNLRLMRmortalityNLRPLR

Identifiers

PMID37250103
PMCPMC10224725

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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.