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新型全身性炎症标志物预测 COVID-19 预后。

Novel Systemic Inflammation Markers to Predict COVID-19 Prognosis.

机构信息

School of Medicine, Tehran University of Medical Sciences, Tehran, Iran.

Network of Immunity in Infection, Malignancy and Autoimmunity (NIIMA), Universal Scientific Education and Research Network (USERN), Tehran, Iran.

出版信息

Front Immunol. 2021 Oct 22;12:741061. doi: 10.3389/fimmu.2021.741061. eCollection 2021.

Abstract

Coronavirus disease 2019 (COVID-19) has resulted in a global pandemic, challenging both the medical and scientific community for the development of novel vaccines and a greater understanding of the effects of the SARS-CoV-2 virus. COVID-19 has been associated with a pronounced and out-of-control inflammatory response. Studies have sought to understand the effects of inflammatory response markers to prognosticate the disease. Herein, we aimed to review the evidence of 11 groups of systemic inflammatory markers for risk-stratifying patients and prognosticating outcomes related to COVID-19. Numerous studies have demonstrated the effectiveness of neutrophil to lymphocyte ratio (NLR) in prognosticating patient outcomes, including but not limited to severe disease, hospitalization, intensive care unit (ICU) admission, intubation, and death. A few markers outperformed NLR in predicting outcomes, including 1) systemic immune-inflammation index (SII), 2) prognostic nutritional index (PNI), 3) C-reactive protein (CRP) to albumin ratio (CAR) and high-sensitivity CAR (hsCAR), and 4) CRP to prealbumin ratio (CPAR) and high-sensitivity CPAR (hsCPAR). However, there are a limited number of studies comparing NLR with these markers, and such conclusions require larger validation studies. Overall, the evidence suggests that most of the studied markers are able to predict COVID-19 prognosis, however NLR seems to be the most robust marker.

摘要

新型冠状病毒病(COVID-19)已在全球范围内流行,这对医学和科学界提出了挑战,需要开发新型疫苗并深入了解 SARS-CoV-2 病毒的影响。COVID-19 与明显的失控性炎症反应有关。研究旨在了解炎症反应标志物对疾病预测的影响。本文旨在回顾 11 组系统性炎症标志物的证据,以对 COVID-19 患者进行风险分层和预后评估。许多研究表明,中性粒细胞与淋巴细胞比值(NLR)在预测患者预后方面具有有效性,包括但不限于严重疾病、住院、重症监护病房(ICU)入住、插管和死亡。一些标志物在预测结局方面优于 NLR,包括 1)系统性免疫炎症指数(SII)、2)预后营养指数(PNI)、3)C 反应蛋白(CRP)与白蛋白比值(CAR)和高敏 CAR(hsCAR),以及 4)CRP 与前白蛋白比值(CPAR)和高敏 CPAR(hsCPAR)。然而,比较 NLR 与这些标志物的研究数量有限,因此此类结论需要更大规模的验证研究。总的来说,有证据表明,大多数研究的标志物均能够预测 COVID-19 预后,但 NLR 似乎是最可靠的标志物。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5e7d/8569430/b054c4b8c325/fimmu-12-741061-g001.jpg

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