{"database":"biostudies-literature","file_versions":[],"scores":null,"additional":{"omics_type":["Unknown"],"submitter":["Madera-Sandoval RL"],"pubmed_abstract":["The difficulty in predicting fatal outcomes in patients with coronavirus disease 2019 (COVID-19) impacts the general morbidity and mortality due to severe acute respiratory syndrome-coronavirus 2 infection, as it wears out the hospital services that care for these patients. Unfortunately, in several of the candidates for prognostic biomarkers proposed, the predictive power is compromised when patients have pre-existing comorbidities. A cohort of 147 patients hospitalized for severe COVID-19 was included in a descriptive, observational, single-center, and prospective study. Patients were recruited during the first COVID-19 pandemic wave (April-November 2020). Data were collected from the clinical history whereas immunophenotyping by multiparameter flow cytometry analysis allowed us to asses"],"journal":["Clinical and translational science"],"full_dataset_link":["https://www.ebi.ac.uk/biostudies/studies/S-EPMC10719476"],"repository":["biostudies-literature"],"pubmed_title":["Potential biomarkers for fatal outcome prognosis in a cohort of hospitalized COVID-19 patients with pre-existing comorbidities."],"pmcid":["PMC10719476"],"pubmed_authors":["Rivero-Arredondo SV","De Lira-Barraza RC","Rodriguez-Hernandez D","Romero-Gutierrez L","Madera-Sandoval RL","Ramirez-Montes de Oca R","Basilio-Galvez E","Ferat-Osorio E","Lopez-Macias CIIIR","Serrano-Molina ED","Torres-Rosas R","Salazar-Rios E","Pelayo R","Anda-Garay JC","Cruz-Cruz A","Cabrera-Rivera GL","Unzueta-Marta O","Salazar-Rios ME","Bonifaz LC","Arriaga-Pizano LA","Garcia de la Rosa MT","Sanchez-Hurtado LA","Esquivel-Pineda A","Prieto-Chavez JL","Villanueva-Compean AH","Flores-Padilla G","Cerbulo-Vazquez A","Miranda-Cruz PE","Calleja-Alarcon S","Marquez-Marquez E"],"additional_accession":[]},"is_claimable":false,"name":"Potential biomarkers for fatal outcome prognosis in a cohort of hospitalized COVID-19 patients with pre-existing comorbidities.","description":"The difficulty in predicting fatal outcomes in patients with coronavirus disease 2019 (COVID-19) impacts the general morbidity and mortality due to severe acute respiratory syndrome-coronavirus 2 infection, as it wears out the hospital services that care for these patients. Unfortunately, in several of the candidates for prognostic biomarkers proposed, the predictive power is compromised when patients have pre-existing comorbidities. A cohort of 147 patients hospitalized for severe COVID-19 was included in a descriptive, observational, single-center, and prospective study. Patients were recruited during the first COVID-19 pandemic wave (April-November 2020). Data were collected from the clinical history whereas immunophenotyping by multiparameter flow cytometry analysis allowed us to asses","dates":{"release":"2023-01-01T00:00:00Z","publication":"2023 Oct","modification":"2025-04-22T19:36:50.157Z","creation":"2025-04-06T02:46:58.5Z"},"accession":"S-EPMC10719476","cross_references":{"pubmed":["37873554"],"doi":["10.1111/cts.13663"]}}