biostudies-literatureUnknownMadera-Sandoval RLThe 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 assesClinical and translational sciencehttps://www.ebi.ac.uk/biostudies/studies/S-EPMC10719476biostudies-literaturePotential biomarkers for fatal outcome prognosis in a cohort of hospitalized COVID-19 patients with pre-existing comorbidities.PMC10719476Rivero-Arredondo SVDe Lira-Barraza RCRodriguez-Hernandez DRomero-Gutierrez LMadera-Sandoval RLRamirez-Montes de Oca RBasilio-Galvez EFerat-Osorio ELopez-Macias CIIIRSerrano-Molina EDTorres-Rosas RSalazar-Rios EPelayo RAnda-Garay JCCruz-Cruz ACabrera-Rivera GLUnzueta-Marta OSalazar-Rios MEBonifaz LCArriaga-Pizano LAGarcia de la Rosa MTSanchez-Hurtado LAEsquivel-Pineda APrieto-Chavez JLVillanueva-Compean AHFlores-Padilla GCerbulo-Vazquez AMiranda-Cruz PECalleja-Alarcon SMarquez-Marquez EfalsePotential biomarkers for fatal outcome prognosis in a cohort of hospitalized COVID-19 patients with pre-existing comorbidities.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 asses2023-01-01T00:00:00Z2023 Oct2025-04-22T19:36:50.157Z2025-04-06T02:46:58.5ZS-EPMC107194763787355410.1111/cts.13663