Adaptive immune dysfunction in patients with COVID-19 and impaired kidney function during the omicron surge

Adaptive immune dysfunction in patients with COVID-19 and impaired kidney function during the omicron surge

Copyright © 2023 Elsevier Inc. All rights reserved.

Bibliographische Detailangaben
Veröffentlicht in:Clinical immunology (Orlando, Fla.). - 1999. - 248(2023) vom: 17. März, Seite 109271
1. Verfasser: Yan, Jiayi (VerfasserIn)
Weitere Verfasser: Wang, Jieying, Ding, Li, Liu, Shang, Zhan, Yaping, Lu, Jiayue, Li, Zhenyuan, Gu, Leyi, Li, Ping, Zhu, Mingli, Gao, Yuan, Gong, XingRong, Ban, Haiqun, Cai, Hong, Mou, Shan
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 2023
Zugriff auf das übergeordnete Werk:Clinical immunology (Orlando, Fla.)
Schlagworte:Journal Article Research Support, Non-U.S. Gov't COVID-19 Impaired kidney function Lymphocyte subset Omicron Outcomes
Beschreibung
Zusammenfassung:Copyright © 2023 Elsevier Inc. All rights reserved.
BACKGROUND: Little is known about the characteristics of lymphocyte subsets and the association with patient outcomes in COVID-19 with and without impaired kidney function
METHODS: Lymphocyte subsets were compared in COVID-19 patients with or without kidney dysfunction. The primary outcome was a composite of all-cause mortality or intensive care unit admission. Secondary outcomes included duration of viral shedding, length of hospital stay, and acute kidney injury
RESULTS: Lymphocyte subset cell counts demonstrated the lowest in patients with severe/critical COVID-19 and kidney dysfunction. Among all lymphocyte subset parameters, Th cell count was the most significant indicator for outcomes. ROC of the combined model of Th cell count and eGFR presented better predictive value than that of the other parameters. Th cell count <394.5 cells/μl and eGFR <87.5 ml/min/1·73m2 were independently associated with poor outcomes. The propensity score matching analysis revealed consistent results
CONCLUSIONS: Reduced Th cell count and eGFR may be applied as promising predictive indicators for identifying COVID-19 patients with high risk and poor outcomes
Beschreibung:Date Completed 14.03.2023
Date Revised 18.03.2023
published: Print-Electronic
Citation Status MEDLINE
ISSN:1521-7035
DOI:10.1016/j.clim.2023.109271