Suppr超能文献

新冠病毒肺炎患者全身炎症与长期功能障碍的关联:一项前瞻性队列研究

Association of systemic inflammation and long-term dysfunction in COVID-19 patients: A prospective cohort.

作者信息

Dal-Pizzol Felipe, Kluwe-Schiavon Bruno, Dal-Pizzol Henrique Ritter, da Silveira Prestes Gabriele, Dominguini Diogo, Girardi Carolina Saibro, Santos Lucas, Moreira José Cláudio Fonseca, Gelain Daniel Pens, Walz Roger, Barichello Tatiana, Ritter Cristiane

机构信息

Laboratory of Experimental Physiopathology, Graduate Program in Health Sciences, Health Sciences Unit, University of Southern Santa Catarina, Criciuma, SC, Brazil; Hospital São José Research Center, Criciúma, SC, Brazil.

Translational Psychiatry Program, Faillace Department of Psychiatry and Behavioral Sciences, McGovern Medical School, University of Texas Health Science Center at Houston (UTHealth), Houston, TX 77054, USA.

出版信息

Psychoneuroendocrinology. 2025 Feb;172:107269. doi: 10.1016/j.psyneuen.2024.107269. Epub 2024 Dec 25.

Abstract

COVID-19 has significant long-term impacts, including a chronic syndrome known as long-COVID, characterized by persistent symptoms post-recovery. The inflammatory response during acute infection is hypothesized to influence long-term outcomes. This study aimed to identify inflammatory biomarkers predictive of functional outcomes one year after hospital discharge. A prospective cohort study was conducted with 213 COVID-19 patients admitted to ICUs in Southern Brazil between June and November 2020. After exclusions and follow-ups, 109 patients were evaluated for one-year post-discharge. Plasma levels of Th1 (TNF-α, INF-γ, IL-12), Th2 (IL-4, IL-5, IL-6, IL-10, IL-13), and Th17 (IL-17, IL-22) cytokines were measured. Functional outcomes in psychiatric, cognitive, general health, and health perception domains were assessed. Statistical analyses included multivariate regression, regularized partial correlation network analysis, and K-means clustering. We demonstrate that plasma levels of various cytokines, along with demographic and clinical characteristics, can predict four distinct domains of functional outcomes one year following hospital discharge due to COVID-19 and that an hyperinflammatory phenotype was associated with the occurrence of a worse in psychiatric, general health, and health perception domains. The network analysis highlighted complex interconnections among immune markers and clinical variables, elucidating their roles in long-term health. These findings support using biomarkers for patient stratification and indicate potential targets for therapeutic interventions.

摘要

新冠病毒病(COVID-19)具有重大的长期影响,包括一种被称为“长新冠”的慢性综合征,其特征为康复后症状持续存在。据推测,急性感染期间的炎症反应会影响长期预后。本研究旨在确定可预测出院一年后功能预后的炎症生物标志物。对2020年6月至11月间巴西南部入住重症监护病房的213例COVID-19患者进行了一项前瞻性队列研究。在排除和随访后,对109例患者进行了出院后一年的评估。检测了血浆中Th1(肿瘤坏死因子-α、干扰素-γ、白细胞介素-12)、Th2(白细胞介素-4、白细胞介素-5、白细胞介素-6、白细胞介素-10、白细胞介素-13)和Th17(白细胞介素-17、白细胞介素-22)细胞因子的水平。评估了精神、认知、总体健康和健康感知领域的功能预后。统计分析包括多变量回归、正则化偏相关网络分析和K均值聚类。我们证明,各种细胞因子的血浆水平以及人口统计学和临床特征,可以预测因COVID-19出院一年后功能预后的四个不同领域,并且高炎症表型与精神、总体健康和健康感知领域中更差的情况相关。网络分析突出了免疫标志物和临床变量之间的复杂相互联系,阐明了它们在长期健康中的作用。这些发现支持使用生物标志物对患者进行分层,并指出了治疗干预的潜在靶点。

相似文献

本文引用的文献

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验