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Low HDL and high triglycerides predict COVID-19 severity

Authors :
Lluís Masana
Eudald Correig
Daiana Ibarretxe
Eva Anoro
Juan Antonio Arroyo
Carlos Jericó
Carolina Guerrero
Marcel·la Miret
Silvia Näf
Anna Pardo
Verónica Perea
Rosa Pérez-Bernalte
Núria Plana
Rafael Ramírez-Montesinos
Meritxell Royuela
Cristina Soler
Maria Urquizu-Padilla
Alberto Zamora
Juan Pedro-Botet
the STACOV-XULA research group
Source :
Scientific Reports, Vol 11, Iss 1, Pp 1-9 (2021)
Publication Year :
2021
Publisher :
Nature Portfolio, 2021.

Abstract

Abstract Lipids are indispensable in the SARS-CoV-2 infection process. The clinical significance of plasma lipid profile during COVID-19 has not been rigorously evaluated. We aim to ascertain the association of the plasma lipid profile with SARS-CoV-2 infection clinical evolution. Observational cross-sectional study including 1411 hospitalized patients with COVID-19 and an available standard lipid profile prior (n: 1305) or during hospitalization (n: 297). The usefulness of serum total, LDL, non-HDL and HDL cholesterol to predict the COVID-19 prognosis (severe vs mild) was analysed. Patients with severe COVID-19 evolution had lower HDL cholesterol and higher triglyceride levels before the infection. The lipid profile measured during hospitalization also showed that a severe outcome was associated with lower HDL cholesterol levels and higher triglycerides. HDL cholesterol and triglyceride concentrations were correlated with ferritin and D-dimer levels but not with CRP levels. The presence of atherogenic dyslipidaemia during the infection was strongly and independently associated with a worse COVID-19 infection prognosis. The low HDL cholesterol and high triglyceride concentrations measured before or during hospitalization are strong predictors of a severe course of the disease. The lipid profile should be considered as a sensitive marker of inflammation and should be measured in patients with COVID-19.

Subjects

Subjects :
Medicine
Science

Details

Language :
English
ISSN :
20452322
Volume :
11
Issue :
1
Database :
Directory of Open Access Journals
Journal :
Scientific Reports
Publication Type :
Academic Journal
Accession number :
edsdoj.8030e0fcdba8492eaace76abc5a9b5b5
Document Type :
article
Full Text :
https://doi.org/10.1038/s41598-021-86747-5