Evidence map›Paper›PMID 33809913›Full record

ArticleJournal of personalized medicine2021

Predictive Biomarkers of COVID-19 Severity in SARS-CoV-2 Infected Patients with Obesity and Metabolic Syndrome.

Carles Perpiñan, Laia Bertran, Ximena Terra, Carmen Aguilar, Miguel Lopez-Dupla, Ajla Alibalic, David Riesco, Javier Camaron, Francesco Perrone, Anna Rull and 5 more

Open access · goldAbstract read
In one paragraph

Article in Journal of personalized medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 27% 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

5 citing papers in PubMed, 12 citations in OpenAlex.

  1. Predicting mortality in hospitalized COVID-19 patients.Internal and emergency medicine · 2022
    Article
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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

15 authors at 3 institutions in 1 country.

Carles PerpiñanInstitut Català de Salut (ICS), 43202 Reus, Spain.
Laia BertranGrup de Recerca GEMMAIR (AGAUR)-Medicina Aplicada, Departament de Medicina i Cirurgia, Universitat Rovira i Virgili (URV), Institut d'Investigació Sanitària Pere Virgili (IISPV), 43007 Tarragona, Spain.ORCID 0000-0001-9052-1368
Ximena TerraGrup de Recerca MoBioFood, Departament de Bioquímica i Biotecnologia, Universitat Rovira i Virgili (URV), Institut d'Investigació Sanitària Pere Virgili (IISPV), 43007 Tarragona, Spain.ORCID 0000-0003-1043-5844
Carmen AguilarGrup de Recerca GEMMAIR (AGAUR)-Medicina Aplicada, Departament de Medicina i Cirurgia, Universitat Rovira i Virgili (URV), Institut d'Investigació Sanitària Pere Virgili (IISPV), 43007 Tarragona, Spain.
Miguel Lopez-DuplaServei Medicina Interna, Hospital Universitari Joan XXIII Tarragona, 43005 Tarragona, Spain.ORCID 0000-0002-9141-2523
Ajla AlibalicServei Medicina Interna, Hospital Universitari Joan XXIII Tarragona, 43005 Tarragona, Spain.
David RiescoGrup de Recerca GEMMAIR (AGAUR)-Medicina Aplicada, Departament de Medicina i Cirurgia, Universitat Rovira i Virgili (URV), Institut d'Investigació Sanitària Pere Virgili (IISPV), 43007 Tarragona, Spain.
Javier CamaronServei Medicina Interna, Hospital Universitari Joan XXIII Tarragona, 43005 Tarragona, Spain.
Francesco PerroneServei Medicina Interna, Hospital Universitari Joan XXIII Tarragona, 43005 Tarragona, Spain.
Anna RullGrup de Recerca INIM, Departament de Medicina i Cirurgia, Universitat Rovira i Virgili (URV), Institut d'Investigació Sanitària Pere Virgili (IISPV), 43005 Tarragona, Spain.
Laia RevertéGrup de Recerca INIM, Departament de Medicina i Cirurgia, Universitat Rovira i Virgili (URV), Institut d'Investigació Sanitària Pere Virgili (IISPV), 43005 Tarragona, Spain.
Elena YereguiGrup de Recerca INIM, Departament de Medicina i Cirurgia, Universitat Rovira i Virgili (URV), Institut d'Investigació Sanitària Pere Virgili (IISPV), 43005 Tarragona, Spain.
Anna MartiGrup de Recerca INIM, Departament de Medicina i Cirurgia, Universitat Rovira i Virgili (URV), Institut d'Investigació Sanitària Pere Virgili (IISPV), 43005 Tarragona, Spain.
Francesc VidalServei Medicina Interna, Hospital Universitari Joan XXIII Tarragona, 43005 Tarragona, Spain.
Teresa AuguetGrup de Recerca GEMMAIR (AGAUR)-Medicina Aplicada, Departament de Medicina i Cirurgia, Universitat Rovira i Virgili (URV), Institut d'Investigació Sanitària Pere Virgili (IISPV), 43007 Tarragona, Spain.ORCID 0000-0003-0396-6428
Institut de Recerca Biomèdica Catalunya Sud · ESHospital Universitari Joan XXIII de Tarragona · ESInstitut Català de la Salut · ES

Funding

Departament de Salut, Generalitat de Catalunya COVID19_6_17
6 · The paper itself

Abstract

In SARS-CoV-2-infected patients, obesity, hypertension, and diabetes are dangerous factors that may result in death. Priority in detection and specific therapies for these patients are necessary. We wanted to investigate the impact of obesity and metabolic syndrome (MS) on the clinical course of COVID-19 and whether prognostic biomarkers described are useful to predict the evolution of COVID-19 in patients with obesity or MS. This prospective cohort study included 303 patients hospitalized for COVID-19. Participants were first classified according to the presence of obesity; then, they were classified according to the presence of MS. Clinical, radiologic, and analytical parameters were collected. We reported that patients with obesity presented moderate COVID-19 symptoms and pneumonia, bilateral pulmonary infiltrates, and needed tocilizumab more frequently. Meanwhile, patients with MS presented severe pneumonia and respiratory failure more frequently, they have a higher mortality rate, and they also showed higher creatinine and troponin levels. The main findings of this study are that IL-6 is a potential predictor of COVID-19 severity in patients with obesity, while troponin and LDH can be used as predictive biomarkers of COVID-19 severity in MS patients. Therefore, treatment for COVID-19 in patients with obesity or MS should probably be intensified and personalized.

Indexed as

COVID-19metabolic syndromeobesitypersonalized therapypneumoniapredictionSARS-CoV-2

Identifiers

PMID33809913
PMCPMC8004138
OpenAlexW3137216161

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.