Evidence map›Paper›PMID 35160039›Full record

ArticleJournal of clinical medicine2022

Albumin Binds COVID-19 Spike 1 Subunit and Predicts In-Hospital Survival of Infected Patients-Possible Alteration by Glucose.

Khaoula Zekri-Nechar, José J Zamorano-León, Antonio Segura-Fragoso, José R Alcaide, Carmen Reche, Alcira Andrés-Castillo, Carlos H Martínez-Martínez, Manel Giner, Rodrigo Jiménez-García, Ana López-de-Andrés and 3 more

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.3field-weighted citation impact, top 19% 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

6 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Mortality Predictors in Severe SARS-CoV-2 Infection.Medicina (Kaunas, Lithuania) · 2022
    Observational
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

13 authors at 4 institutions in 1 country.

Khaoula Zekri-NecharDepartment of Medicine, Faculty of Medicine, Universidad Complutense de Madrid, 28040 Madrid, Spain.
José J Zamorano-LeónDepartment of Public Health and Maternal and Child Health, Faculty of Medicine, Universidad Complutense de Madrid, IdISSC, 28040 Madrid, Spain.
Antonio Segura-FragosoSchool of Health Sciences, Universidad de Castilla La Mancha, 45600 Talavera de la Reina, Spain.ORCID 0000-0003-4884-2242
José R AlcaideDepartment of Health and Emergency, Community of Madrid Ministry, 28013 Madrid, Spain.
Carmen RecheEmergency Department, Gómez Ulla Central Defense Hospital, 28047 Madrid, Spain.
Alcira Andrés-CastilloDepartment of Medicine, Faculty of Medicine, Universidad Complutense de Madrid, 28040 Madrid, Spain.ORCID 0000-0002-6622-9436
Carlos H Martínez-MartínezDepartment of Medicine, Faculty of Medicine, Universidad Complutense de Madrid, 28040 Madrid, Spain.
Manel GinerDepartment of Surgery, Faculty of Medicine, Universidad Complutense de Madrid, 28040 Madrid, Spain.
Rodrigo Jiménez-GarcíaDepartment of Public Health and Maternal and Child Health, Faculty of Medicine, Universidad Complutense de Madrid, IdISSC, 28040 Madrid, Spain.ORCID 0000-0001-6119-4222
Ana López-de-AndrésDepartment of Public Health and Maternal and Child Health, Faculty of Medicine, Universidad Complutense de Madrid, IdISSC, 28040 Madrid, Spain.ORCID 0000-0001-5551-5181
Carlos Navarro-CuellarMaxillofacial Surgery Department, Hospital General Universitario Gregorio Marañón, 28007 Madrid, Spain.ORCID 0000-0001-9869-9240
Miguel A García-FernándezDepartment of Medicine, Faculty of Medicine, Universidad Complutense de Madrid, 28040 Madrid, Spain.
Antonio López-FarréDepartment of Medicine, Faculty of Medicine, Universidad Complutense de Madrid, 28040 Madrid, Spain.
Universidad Complutense de Madrid · ESHospital Central de la Defensa Gómez Ulla · ESHospital General Universitario Gregorio Marañón · ESUniversity of Castilla-La Mancha · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: This study aimed to analyze if the serum albumin levels of hospitalized SARS-CoV-2 (COVID-19) patients on admission could predict <30 days in-hospital all-cause mortality, and if glucose levels on admission affected this predictive ability. (2) Methods: A multicenter retrospective cohort of 1555 COVID-19-infected adult patients from public hospitals of the Madrid community were analyzed. (3) Results: Logistic regression analysis showed increased mortality for ages higher than 49 y. After adjusting for age, comorbidities and on-admission glucose levels, it was found that on-admission serum albumin ≥3.5 g/dL was significantly associated with reduced mortality (OR 0.48; 95%CI:0.36-0.62). There was an inverse concentration-dependent association between on-admission albumin levels and <30 days in-hospital all-cause mortality. However, when on-admission glucose levels were above 125 mg/dL, higher levels of serum albumin were needed to reach an association with survival. In vitro experiments showed that the spike protein S1 subunit of SARS-CoV-2 binds to native albumin. The binding ability of native albumin to the spike protein S1 subunit was decreased in the presence of an increasing concentration of glycated albumin. (4) Conclusions: On-admission serum albumin levels were inversely associated with <30 days in-hospital all-cause mortality. Native albumin binds the spike protein S1 subunit, suggesting that native albumin may act as a scavenger of the SARS-CoV-2 virus.

Indexed as

albuminCOVID-19glucoseglycated albuminin-hospital mortalityspike protein S1 subunit

Identifiers

PMID35160039
PMCPMC8836760
OpenAlexW4210337388

What Socratic 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 Socratic graph.