Immunoglobulin signature predicts risk of post-acute COVID-19 syndrome

Autor: Carlo Cervia, Yves Zurbuchen, Patrick Taeschler, Tala Ballouz, Dominik Menges, Sara Hasler, Sarah Adamo, Miro E. Raeber, Esther Bächli, Alain Rudiger, Melina Stüssi-Helbling, Lars C. Huber, Jakob Nilsson, Ulrike Held, Milo A. Puhan, Onur Boyman
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Nature Communications, Vol 13, Iss 1, Pp 1-12 (2022)
Druh dokumentu: article
ISSN: 2041-1723
DOI: 10.1038/s41467-021-27797-1
Popis: Studying a prospective cohort, the authors develop and validate a predictive score for post-acute COVID-19 syndrome, also known as long-COVID. This score relies on an immunoglobulin signature and is independent of timepoint of blood sampling.
Databáze: Directory of Open Access Journals