Evidence map›Paper›PMID 33050487›Full record

ArticleMicroorganisms2020

The Neutrophil-to-Monocyte Ratio and Lymphocyte-to-Neutrophil Ratio at Admission Predict In-Hospital Mortality in Mexican Patients with Severe SARS-CoV-2 Infection (Covid-19).

Salma A Rizo-Téllez, Lucia A Méndez-García, Cruz Flores-Rebollo, Fernando Alba-Flores, Raúl Alcántara-Suárez, Aarón N Manjarrez-Reyna, Neyla Baltazar-López, Verónica A Hernández-Guzmán, José I León-Pedroza, Rogelio Zapata-Arenas and 6 more

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 3 pooled it
1.6field-weighted citation impact, top 9% of its field
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

42 citing papers in PubMed, 3 syntheses or guidelines pooled it, 91 citations in OpenAlex.

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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

16 authors at 1 institution in 1 country.

Salma A Rizo-TéllezLaboratory of Immunometabolism, Research Division, General Hospital of Mexico "Dr. Eduardo Liceaga", Mexico City 06720, Mexico.ORCID 0000-0003-0587-5167
Lucia A Méndez-GarcíaLaboratory of Immunometabolism, Research Division, General Hospital of Mexico "Dr. Eduardo Liceaga", Mexico City 06720, Mexico.ORCID 0000-0001-7576-5209
Cruz Flores-RebolloLaboratory of Immunometabolism, Research Division, General Hospital of Mexico "Dr. Eduardo Liceaga", Mexico City 06720, Mexico.
Fernando Alba-FloresLaboratory of Immunometabolism, Research Division, General Hospital of Mexico "Dr. Eduardo Liceaga", Mexico City 06720, Mexico.
Raúl Alcántara-SuárezLaboratory of Immunometabolism, Research Division, General Hospital of Mexico "Dr. Eduardo Liceaga", Mexico City 06720, Mexico.
Aarón N Manjarrez-ReynaLaboratory of Immunometabolism, Research Division, General Hospital of Mexico "Dr. Eduardo Liceaga", Mexico City 06720, Mexico.ORCID 0000-0002-5194-228X
Neyla Baltazar-LópezResearch Coordination at Central Laboratories, General Hospital of Mexico "Dr. Eduardo Liceaga", Mexico City 06720, Mexico.
Verónica A Hernández-GuzmánResearch Coordination at Central Laboratories, General Hospital of Mexico "Dr. Eduardo Liceaga", Mexico City 06720, Mexico.
José I León-PedrozaDepartment of Intensive Medical Therapy, General Hospital of Mexico "Dr. Eduardo Liceaga", Mexico City 06720, Mexico.
Rogelio Zapata-ArenasDepartment of Internal Medicine, General Hospital of Mexico "Dr. Eduardo Liceaga", Mexico City 06720, Mexico.ORCID 0000-0003-4715-5643
Antonio González-ChávezDepartment of Internal Medicine, General Hospital of Mexico "Dr. Eduardo Liceaga", Mexico City 06720, Mexico.
Joselín Hernández-RuízClinical Pharmacology Unit, General Hospital of Mexico "Dr. Eduardo Liceaga", Mexico City 06720, Mexico.
José D Carrillo-RuízDepartment of Neurology and Neurosurgery, General Hospital of Mexico "Dr. Eduardo Liceaga", Mexico City 06720, Mexico.
Raúl Serrano-LoyolaDepartment of Radiology and Imaging, General Hospital of Mexico "Dr. Eduardo Liceaga", Mexico City 06720, Mexico.
Guadalupe M L Guerrero-AvendañoDepartment of Radiology and Imaging, General Hospital of Mexico "Dr. Eduardo Liceaga", Mexico City 06720, Mexico.
Galileo EscobedoLaboratory of Immunometabolism, Research Division, General Hospital of Mexico "Dr. Eduardo Liceaga", Mexico City 06720, Mexico.ORCID 0000-0002-9224-7400
Hospital General de México · MX

Funding

Consejo Nacional de Ciencia y Tecnología CB-2016-01-286209Consejo Nacional de Ciencia y Tecnología SALUD-2017-02-290345
6 · The paper itself

Abstract

There is a deep need for mortality predictors that allow clinicians to quickly triage patients with severe coronavirus disease 2019 (Covid-19) into intensive care units at the time of hospital admission. Thus, we examined the efficacy of the lymphocyte-to-neutrophil ratio (LNR) and neutrophil-to-monocyte ratio (NMR) as predictors of in-hospital death at admission in patients with severe Covid-19. A total of 54 Mexican adult patients with Covid-19 that met hospitalization criteria were retrospectively enrolled, followed-up daily until hospital discharge or death, and then assigned to survival or non-survival groups. Clinical, demographic, and laboratory parameters were recorded at admission. A total of 20 patients with severe Covid-19 died, and 75% of them were men older than 62.90 ± 14.18 years on average. Type 2 diabetes, hypertension, and coronary heart disease were more prevalent in non-survivors. As compared to survivors, LNR was significantly fourfold decreased while NMR was twofold increased. LNR ≤ 0.088 predicted in-hospital mortality with a sensitivity of 85.00% and a specificity of 74.19%. NMR ≥ 17.75 was a better independent risk factor for mortality with a sensitivity of 89.47% and a specificity of 80.00%. This study demonstrates for the first time that NMR and LNR are accurate predictors of in-hospital mortality at admission in patients with severe Covid-19.

Indexed as

Covid-19in-hospital death riskintensive care unitlymphocytemonocytemortality predictorneutrophilSARS-Cov-2

Identifiers

PMID33050487
PMCPMC7600553
OpenAlexW3092346910

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.