Evidence map›Paper›PMID 42042901›Full record

ArticleMetabolites2026

Early Cytokine Profiles in Critically Ill Patients with COVID-19 and Their Association with Mortality.

Yenifer Gamarra-Morales, Jorge Molina-López, Juan Francisco Machado-Casas, Lourdes Herrera-Quintana, Héctor Vázquez-Lorente, José Miguel Pérez-Villares, Elena Planells

Abstract read
In one paragraph

Article in Metabolites, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

7 authors.

Yenifer Gamarra-MoralesClinical Analysis Unit, Santa Ana Hospital, 18600 Motril, Spain.
Jorge Molina-LópezFaculty of Education, Psychology and Sports Sciences, University of Huelva, 21007 Huelva, Spain.ORCID 0000-0003-2516-5226
Juan Francisco Machado-CasasIntensive Care Unit, Virgen de las Nieves Hospital, 18014 Granada, Spain.
Lourdes Herrera-QuintanaDepartment of Physiology, School of Pharmacy, Institute of Nutrition and Food Technology "José Mataix", University of Granada, 18071 Granada, Spain.ORCID 0000-0003-1407-322X
Héctor Vázquez-LorenteDepartment of Physiology, School of Pharmacy, Institute of Nutrition and Food Technology "José Mataix", University of Granada, 18071 Granada, Spain.ORCID 0000-0003-0183-6902
José Miguel Pérez-VillaresIntensive Care Unit, Virgen de las Nieves Hospital, 18014 Granada, Spain.
Elena PlanellsDepartment of Physiology, School of Pharmacy, Institute of Nutrition and Food Technology "José Mataix", University of Granada, 18071 Granada, Spain.ORCID 0000-0001-8291-4110

Funding

Consejería de Transformación Económica, Industria, Conocimiento y Universidades de la Junta de Andalucía REF. A-CTS-708-UGR20FPU fellowship from the Spanish Ministry of Education REF. FPU18/03655FPU fellowship from the Spanish Ministry of Education REF. FPU18/03702Spanish Carlos III Health Institute FIS PI10/1993
6 · The paper itself

Abstract

BACKGROUND/

objectivesThe purpose of this study was to (i) determine the levels of interleukins in patients with COVID-19 admitted to the Intensive Care Unit (ICU) and (ii) evaluate their early dynamics, as well as (iii) assess their relationships with morbidity and mortality.

methodsThis was a prospective analytical study of critically ill patients with COVID-19 who were monitored from admission to three days of stay in the ICU. Circulating levels of IL-1β, IL-2, IL-6, IL-7, IL-8, IL-10, and tumour necrosis factor-alpha (TNF-α) were measured. Cytokine levels were analysed in relation to clinical severity parameters and 28-day mortality.

resultsA dynamic cytokine response was observed during the first 72 h, with a significant increase in TNF-α levels and a decrease in IL-10 and IL-1β. Non-survivors showed higher TNF-α levels than survivors. In the multivariable analysis adjusted for clinical severity, TNF-α remained independently associated with 28-day mortality, whereas other cytokines did not retain statistical significance. The overall predictive performance of cytokines was moderate.

conclusionsEarly cytokine dynamics reflect the evolving inflammatory response in critically ill COVID-19 patients. TNF-α emerges as an independent predictor of mortality, supporting its role as a relevant biomarker of adverse outcomes. Although its predictive capacity is moderate, TNF-α may provide clinically meaningful information for risk stratification when integrated with established clinical and laboratory parameters.

Indexed as

COVID-19interleukinmortality

Identifiers

PMID42042901
PMCPMC13118199

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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.