Evidence map›Paper›PMID 32988645›Full record

Observational studyMedicina intensiva2021

[HLA genetic polymorphisms and prognosis of patients with COVID-19].

L Lorente, M M Martín, A Franco, Y Barrios, J J Cáceres, J Solé-Violán, A Perez, J A Marcos Y Ramos, L Ramos-Gómez, N Ojeda and 3 more

Open access · greenAbstract readMulticenter StudyObservational Study
In one paragraph

Observational study in Medicina intensiva, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
2.3field-weighted citation impact, top 7% 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

7 citing papers in PubMed, 117 citations in OpenAlex.

  1. Article
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  6. Review
  7. Observational
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 6 institutions in 1 country.

L LorenteIntensive Care Unit, Hospital Universitario de Canarias, Ofra, s/n., La Laguna 38320, Santa Cruz de Tenerife, Spain. Electronic address: lorentemartin@msn.com.
M M MartínIntensive Care Unit, Hospital Universitario Nuestra Señora de Candelaria, Crta del Rosario s/n., Santa Cruz de Tenerife 38010, Spain.
A FrancoImmunology Unit of Laboratory Department, Hospital Universitario de Canarias, Ofra, s/n., La Laguna 38320, Santa Cruz de Tenerife, Spain.
Y BarriosImmunology Unit of Laboratory Department, Hospital Universitario de Canarias, Ofra, s/n., La Laguna 38320, Santa Cruz de Tenerife, Spain.
J J CáceresIntensive Care Unit, Hospital Insular, Plaza Dr. Pasteur s/n., Las Palmas de Gran Canaria 35016, Spain.
J Solé-ViolánIntensive Care Unit, Hospital Universitario Dr. Negrín, Barranco de la Ballena s/n., Las Palmas de Gran Canaria 35010, Spain.
A PerezInternal Intensive Care Unit, Hospital Universitario de Canarias, Ofra, s/n., La Laguna 38320, Santa Cruz de Tenerife, Spain.
J A Marcos Y RamosIntensive Care Unit, Hospital Doctor José Molina Orosa, Ctra. Arrecife-Tinajo, km 1.300, Arrecife, Lanzarote 35550, Spain.
L Ramos-GómezIntensive Care Unit, Hospital General La Palma, Buenavista de Arriba s/n, Breña Alta, La Palma 38713, Spain.
N OjedaDepartment of Anesthesiology, Hospital Universitario Dr. Negrín, Barranco de la Ballena s/n., Las Palmas de Gran Canaria 35010, Spain.
A JiménezResearch Unit, Hospital Universitario de Canarias, Ofra, s/n., La Laguna 38320, Santa Cruz de Tenerife, Spain.
Working Group on COVID-19 Canary ICU
Annex. Members of the BIOMEPOC group
Hospital Universitario de Canarias · ESHospital Universitario de Gran Canaria Doctor Negrín · ESHospital Universitario Insular de Gran Canaria · ESCabildo de La Palma · ESHospital Doctor José Molina Orosa · ESHospital Universitario Nuestra Señora de Candelaria · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveDifferent genetic polymorphisms of human leukocyte antigen (HLA) have been associated with the risk and prognosis of autoimmune and infectious diseases. The objectives of this study were to determine whether there is an association between HLA genetic polymorphisms and the susceptibility to and mortality of coronavirus disease 2019 (COVID-19) patients.

designObservational and prospective study.

settingEight Intensive Care Units (ICU) from 6 hospitals of Canary Islands (Spain). PATIENTS: COVID-19 patients admitted in ICU and healthy subjects.

interventionsDetermination of HLA genetic polymorphisms. MAIN VARIABLE OF INTEREST: Mortality at 30 days.

resultsA total of 3886 healthy controls and 72 COVID-19 patients (10 non-survivors and 62 survivor patients at 30 days) were included. We found a trend to a higher rate of the alleles HLA-A*32 (p=0.004) in healthy controls than in COVID-19 patients, and of the alleles HLA-B*39 (p=0.02) and HLA-C*16 (p=0.02) in COVID-19 patients than in healthy controls; however, all these p-values were not significant after correction for multiple comparisons. Logistic regression analysis showed that the presence of certain alleles was associated with higher mortality, such as the allele HLA-A*11 after controlling for SOFA (OR=7.693; 95% CI=1.063-55.650; p=0.04) or APACHE-II (OR=11.858; 95% CI=1.524-92.273; p=0.02), the allele HLA-C*01 after controlling for SOFA (OR=11.182; 95% CI=1.053-118.700; p=0.04) or APACHE-II (OR=17.604; 95% CI=1.629-190.211; p=0.02), and the allele HLA-DQB1*04 after controlling for SOFA (OR=9.963; 95% CI=1.235-80.358; p=0.03).

conclusionsThe new finding from our preliminary study of small sample size was that HLA genetic polymorphisms could be associated with COVID-19 mortality; however, studies with a larger sample size before definitive conclusions can be drawn.

Indexed as

Genetic Predisposition to DiseasePolymorphism, GeneticAgedAllelesAPACHECase-Control StudiesCOVID-19FemaleGenotypeHLA-A3 AntigenHLA AntigensHLA-B39 AntigenHLA-C AntigensHumansIntensive Care UnitsMaleHLA-A3 AntigenHLA AntigensHLA-B39 AntigenHLA-C AntigensCOVID-19Genetic polymorphismsHLAMortalidadMortalityOutcomePolimorfismos genéticosPronóstico

Identifiers

PMID32988645
PMCPMC7905376
OpenAlexW3083222961

What OpenQuestion holds

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Registered trials

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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.