Dataset:Biomarker-based diagnosis of Post COVID-19 Condition
Year: 2023
Type: dataset
Abstract: The persistence or development of new symptoms three months after the initial acute respiratory syndrome coronavirus type 2 (SARS-CoV-2) infection is referred to as post-coronavirus disease (COVID) condition (PCC). The identification of new biomarkers specific for the occurrence of PCC is vital to proceed in the future towards prediction of its evolution. This study was registered with ISRCTN Registry during recruitment (ISRCTN27312680), and it was conducted comparing two parallel groups: individuals diagnosed with PCC versus individuals who completely recovered within 3 months after acute COVID-19. All participants were enrolled between the first semester of 2022 in Primary Health Care Centers (PHCCs) of Zaragoza (Spain). The two parallel groups were matched by age, gender, and date of acute COVID-19 diagnosis. The diagnosis of PCC was determined by a general practitioner, following the WHO criteria [7], before or at the time of inclusion in the study. Recovered individuals were required to have passed acute COVID-19, confirmed by RT-qPCR, antigen test, or SARS-CoV-2 serology.
Authors: Méndez-López, Fátima, Bona-Otal, Marta, Oliván-Blázquez, Bárbara, Lerma-Irureta, David, García-Izuel, Paula, Tellería, Carlos, Montolío, Alberto, Ibáñez-Ruiz, Jesús, Ruiz-Herreros, María, Godino, Javier, Jimeno-Beltran, Beatriz, Encabo-Berzosa, María del Mar, Arenaz, Izaskun, Medel-Martínez, Ana, Coiras, Mayte, Schoorlemmer, Jon, Magallón-Botaya, Rosa
Language: English
Subfield: Neurology
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W4393582842