Evidence map›Paper›PMID 33973018›Full record

ArticleInflammation research : official journal of the European Histamine Research Society ... [et al.]2021

A simple and readily available inflammation-based risk scoring system on admission predicts the need for mechanical ventilation in patients with COVID-19.

Luis M Amezcua-Guerra, Karen Audelo, Juan Guzmán, Diana Santiago, Julieta González-Flores, Carlos García-Ávila, Zaira Torres, Francisco Baranda-Tovar, Claudia Tavera-Alonso, Julio Sandoval and 1 more

Abstract read
In one paragraph

Article in Inflammation research : official journal of the European Histamine Research Society ... [et al.], 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
–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

11 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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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

11 authors.

Luis M Amezcua-GuerraImmunology, Instituto Nacional de Cardiología Ignacio Chávez, Juan Badiano 1, Sección XVI, 14080, Tlalpan, Mexico City, Mexico. lmamezcuag@gmail.com.ORCID http://orcid.org/0000-0002-6258-5732
Karen AudeloHealth Care, Universidad Autónoma Metropolitana Xochimilco, Mexico City, Mexico.
Juan GuzmánHealth Care, Universidad Autónoma Metropolitana Xochimilco, Mexico City, Mexico.
Diana SantiagoHealth Care, Universidad Autónoma Metropolitana Xochimilco, Mexico City, Mexico.
Julieta González-FloresImmunology, Instituto Nacional de Cardiología Ignacio Chávez, Juan Badiano 1, Sección XVI, 14080, Tlalpan, Mexico City, Mexico.
Carlos García-ÁvilaImmunology, Instituto Nacional de Cardiología Ignacio Chávez, Juan Badiano 1, Sección XVI, 14080, Tlalpan, Mexico City, Mexico.
Zaira TorresImmunology, Instituto Nacional de Cardiología Ignacio Chávez, Juan Badiano 1, Sección XVI, 14080, Tlalpan, Mexico City, Mexico.
Francisco Baranda-TovarCardiovascular Critical Care Unit, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City, Mexico.
Claudia Tavera-AlonsoCore Lab, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City, Mexico.
Julio SandovalImmunology, Instituto Nacional de Cardiología Ignacio Chávez, Juan Badiano 1, Sección XVI, 14080, Tlalpan, Mexico City, Mexico.
Héctor González-PachecoCoronary Care Unit, Instituto Nacional de Cardiología Ignacio Chávez, Mexico City, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo investigate whether a simplified inflammation-based risk scoring system comprising three readily available biomarkers (albumin, C-reactive protein, and leukocytes) may predict major adverse outcomes in patients with COVID-19.

methodsUpon admission to the emergency room, the inflammation-based risk scoring system was applied and patients were classified as having mild, moderate, or severe inflammation. In-hospital occurrence of thrombosis, need for mechanical ventilation, and death were recorded.

resultsOne-hundred patients (55 ± 13 years; 71% men) were included and classified as having mild (29%), moderate (12%), or severe (59%) inflammation. The need for mechanical ventilation differed among patients in each group (16%, 50%, and 71%, respectively; P < 0.0001), yielding a 4.1-fold increased risk of requiring mechanical ventilation in patients with moderate inflammation and 5.4 for those with severe inflammation. On the contrary, there were no differences for the occurrence of thrombosis (10%, 8%, and 22%, respectively; P = 0.142) or death (21%, 42%, and 39%, respectively; P = 0.106). In the multivariate analysis, only severe inflammation (hazard ratio [HR] = 4.1), D-dimer > 574 ng/mL (HR = 3.0), and troponin I ≥ 6.7 ng/mL (HR = 2.4) at hospital admission were independent predictors of the need for mechanical ventilation.

conclusionThe inflammation-based risk scoring system predicts the need for mechanical ventilation in patients with severe COVID-19.

Indexed as

Respiration, ArtificialSARS-CoV-2Severity of Illness IndexAdultAgedBiomarkersCOVID-19FemaleFibrin Fibrinogen Degradation ProductsHospitalizationHumansInflammationMaleMiddle AgedProportional Hazards ModelsRisk FactorsBiomarkersFibrin Fibrinogen Degradation Productsfibrin fragment DTroponin IAlbuminCOVID-19C-reactive proteinInflammationLeukocytesMechanical ventilation

Identifiers

PMID33973018
PMCPMC8109222

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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.