Author, as appears in the article.: Perpiñan C; Bertran L; Terra X; Aguilar C; Lopez-Dupla M; Alibalic A; Riesco D; Camaron J; Perrone F; Rull A; Reverté L; Yeregui E; Marti A; Vidal F; Auguet T
Department: Medicina i Cirurgia
e-ISSN: 2075-4426
URV's Author/s: Aguilar Crespillo, Carmen Isabel / Auguet Quintillà, Maria Teresa / Bertran Ramos, Laia / Miró Martínez, Eric / RULL AIXA, ANNA / Terra Barbadora, Ximena / Vidal Marsal, Francisco
Keywords: Sars-cov-2 Prediction Pneumonia Personalized therapy Obesity Metabolic syndrome Covid-19
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.
Thematic Areas: Science and technology studies Medicine (miscellaneous)
licence for use: https://creativecommons.org/licenses/by/3.0/es/
Author's mail: francesc.vidal@urv.cat mariateresa.auguet@urv.cat carmenisabel.aguilar@urv.cat carmenisabel.aguilar@urv.cat ximena.terra@urv.cat laia.bertran@urv.cat 0 0 0
Author identifier: 0000-0002-6692-6186 0000-0003-0396-6428 0000-0002-4440-562X 0000-0002-4440-562X 0000-0003-1043-5844 0000-0001-9052-1368
Record's date: 2023-09-23
Journal volume: 11
Papper version: info:eu-repo/semantics/publishedVersion
Link to the original source: https://www.mdpi.com/2075-4426/11/3/227
Licence document URL: http://repositori.urv.cat/ca/proteccio-de-dades/
Papper original source: J Pers Med. 11 (3):
APA: Perpiñan C; Bertran L; Terra X; Aguilar C; Lopez-Dupla M; Alibalic A; Riesco D; Camaron J; Perrone F; Rull A; Reverté L; Yeregui E; Marti A; Vidal F; (2021). Predictive biomarkers of COVID-19 severity in SARS-CoV-2 infected patients with obesity and metabolic syndrome. J Pers Med, 11(3), -. DOI: 10.3390/jpm11030227
Article's DOI: 10.3390/jpm11030227
Entity: Universitat Rovira i Virgili
Journal publication year: 2021
Publication Type: Journal Publications