Clinical Significance and Diagnostic Utility of NLR, LMR, PLR and SII in the Course of COVID-19: A Literature Review

医学 2019年冠状病毒病(COVID-19) 淋巴细胞 炎症 中性粒细胞与淋巴细胞比率 全身炎症 单核细胞 流行病学 免疫学 严重急性呼吸综合征冠状病毒2型(SARS-CoV-2) 内科学 重症监护医学 疾病 传染病(医学专业)
作者
Jakub Wiktor Kosidło,Blanka Wolszczak-Biedrzycka,Joanna Matowicka-Karna,Violetta Dymicka-Piekarska,Justyna Zińczuk
出处
期刊:Journal of Inflammation Research [Dove Medical Press]
卷期号:Volume 16: 539-562
标识
DOI:10.2147/jir.s395331
摘要

Nowadays, society is increasingly struggling with infectious diseases that are characterized by severe course and even death. Recently, the whole world has faced the greatest epidemiological threat, which is COVID-19 caused by SARS CoV-2 virus. SARS CoV-2 infection is often accompanied by severe inflammation, which can lead to the development of different complications. Consequently, clinicians need easily interpreted and effective markers of inflammation that can predict the efficacy of the treatment and patient prognosis. Inflammation is associated with changes in many biochemical and hematological parameters, including leukocyte counts and their populations. In COVID-19, changes in leukocytes count populations such as neutrophils, lymphocytes or monocytes are observed. The numerous research confirm that indicators like neutrophil-to-lymphocyte ratio (NLR), lymphocyte-to-monocyte ratio (LMR), platelets-to-lymphocyte ratio (PLR) and systemic inflammatory index (SII) may prove effective in assessment patient prognosis and choosing optimal therapy. Therefore, in this review, we would like to summarize the latest knowledge about the diagnostic utility of systemic inflammatory ratios - NLR, LMR, PLR and SII in patients with COVID-19. We focused on the papers evaluating the diagnostic utility of inflammatory ratios using ROC curve published in the recent 3 years. Identification of biomarkers associated with inflammation would help the selection of patients with severe course of COVID-19 and high risk of death.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
芳芳完成签到,获得积分10
刚刚
烟花应助王不留行采纳,获得30
1秒前
JamesPei应助科研小白采纳,获得10
1秒前
dd完成签到,获得积分10
2秒前
2秒前
朴素的天蓝完成签到,获得积分10
2秒前
夏末完成签到,获得积分10
2秒前
李闻闻发布了新的文献求助10
3秒前
小绵羊完成签到 ,获得积分10
3秒前
silent完成签到,获得积分10
3秒前
老迟到的雪糕完成签到,获得积分10
4秒前
圈圈发布了新的文献求助10
4秒前
e2r完成签到,获得积分10
4秒前
anheshu发布了新的文献求助10
4秒前
华仔应助tang采纳,获得10
4秒前
4秒前
苹果映菱发布了新的文献求助30
4秒前
靎藥完成签到,获得积分10
5秒前
彭于晏应助邵洋采纳,获得10
5秒前
机灵的博涛完成签到,获得积分10
5秒前
8R60d8应助Hilda007采纳,获得10
5秒前
5秒前
风趣青槐完成签到,获得积分10
5秒前
在水一方应助hh采纳,获得10
5秒前
佳思思完成签到,获得积分10
5秒前
Summer夏天完成签到,获得积分10
6秒前
linxi完成签到,获得积分10
6秒前
搞怪不言发布了新的文献求助10
6秒前
传奇3应助MHY采纳,获得10
6秒前
量子星尘发布了新的文献求助10
6秒前
水穷云起完成签到,获得积分10
6秒前
7秒前
莫里完成签到,获得积分10
7秒前
钠钾蹦发布了新的文献求助10
7秒前
linaoctcn完成签到,获得积分10
7秒前
华仔应助bo采纳,获得10
8秒前
fddd完成签到,获得积分10
8秒前
李小二完成签到,获得积分10
8秒前
8秒前
8秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Handbook of Milkfat Fractionation Technology and Application, by Kerry E. Kaylegian and Robert C. Lindsay, AOCS Press, 1995 1000
A novel angiographic index for predicting the efficacy of drug-coated balloons in small vessels 500
Textbook of Neonatal Resuscitation ® 500
The Affinity Designer Manual - Version 2: A Step-by-Step Beginner's Guide 500
Affinity Designer Essentials: A Complete Guide to Vector Art: Your Ultimate Handbook for High-Quality Vector Graphics 500
Optimisation de cristallisation en solution de deux composés organiques en vue de leur purification 500
热门求助领域 (近24小时)
化学 医学 生物 材料科学 工程类 有机化学 内科学 生物化学 物理 计算机科学 纳米技术 遗传学 基因 复合材料 化学工程 物理化学 病理 催化作用 免疫学 量子力学
热门帖子
关注 科研通微信公众号,转发送积分 5080466
求助须知:如何正确求助?哪些是违规求助? 4298388
关于积分的说明 13391148
捐赠科研通 4122045
什么是DOI,文献DOI怎么找? 2257454
邀请新用户注册赠送积分活动 1261747
关于科研通互助平台的介绍 1195895