The neutrophil to lymphocyte ratio as a novel predictor of asthma and its exacerbation: a systematic review and meta-analysis.

恶化 荟萃分析 哮喘 医学 免疫学 中性粒细胞与淋巴细胞比率 淋巴细胞 系统回顾 内科学 梅德林 生物 生物化学
作者
Wenjing Huang,Guan‐Tarn Huang,Q.-M. Zhan,Ji‐Long Chen,W.-T. Luo,LH Wu,Lanxia Wu,L.-Y. Wu,Ziying Lu,Yanfang Sun
出处
期刊:DOAJ: Directory of Open Access Journals - DOAJ 卷期号:24 (22): 11719-11728 被引量:14
标识
DOI:10.26355/eurrev_202011_23819
摘要

It is widely known that the main white blood cell populations, and neutrophil to lymphocyte ratio (NLR), are involved in systemic inflammation. The usefulness of NLR measurements has been reported in patients with asthma. We performed a systematic review and meta-analysis of studies to investigate the relationship between the NLR and asthma and its exacerbations.We systematically searched PubMed and Embase databases for studies (published between Jan 1, 1950 and Jan 2, 2020; no language restrictions) comparing the NLR values in patients with stable asthma or asthma exacerbations to healthy controls. We assessed pooled data by use of a random-effects model.Of 260 identified studies, 6 were eligible and were included in our analysis (N = 2418 participants). Compared with 439 healthy controls, 743 stable asthma patients in four studies showed significantly greater NLR values (standardized mean difference, SMD, 0.567, 95% CI 0.212-0.922; p = 0.002). Furthermore, compared with 1063 stable asthma patients, 402 asthma exacerbation patients yielded significantly greater NLR values (random effects SMD 1.335, 95% CI 0.429-2.241; p < 0.001).Our meta-analysis showed that the NLR values are a reasonable and easy-to-use marker for asthma and its exacerbations. Further studies, with larger sample sizes and more phenotypes, are required to establish its use as a predictive parameter in asthma.

科研通智能强力驱动
Strongly Powered by AbleSci AI
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
顾矜应助简单小鸭子采纳,获得10
刚刚
斯文败类应助yang采纳,获得30
刚刚
向阳完成签到,获得积分10
1秒前
万能图书馆应助Suu采纳,获得10
3秒前
Rqbnicsp完成签到,获得积分10
5秒前
1111111111111发布了新的文献求助10
5秒前
爱吃果果的泡泡完成签到,获得积分10
6秒前
7秒前
llc关闭了llc文献求助
8秒前
Voskov发布了新的文献求助10
10秒前
BoscoLin完成签到,获得积分10
11秒前
liu66完成签到,获得积分10
12秒前
zhangcdoctor发布了新的文献求助10
13秒前
以利沙完成签到 ,获得积分10
13秒前
千陽完成签到 ,获得积分10
14秒前
求带完成签到,获得积分10
16秒前
20秒前
20秒前
辉夜折影完成签到,获得积分10
21秒前
22秒前
23秒前
Sana发布了新的文献求助30
23秒前
烽火中的狼完成签到,获得积分10
23秒前
高烽发布了新的文献求助10
24秒前
xmhxpz发布了新的文献求助10
24秒前
BoscoLin发布了新的文献求助10
26秒前
Suu发布了新的文献求助10
26秒前
ccxr发布了新的文献求助10
28秒前
慕青应助要减肥的鹤采纳,获得10
28秒前
宁日富一日完成签到,获得积分10
28秒前
jias完成签到,获得积分10
29秒前
小巧尔岚完成签到,获得积分10
29秒前
zzz完成签到,获得积分10
30秒前
明明完成签到,获得积分10
30秒前
上官若男应助科研通管家采纳,获得10
34秒前
34秒前
34秒前
FashionBoy应助科研通管家采纳,获得10
34秒前
科研通AI2S应助科研通管家采纳,获得10
34秒前
NexusExplorer应助科研通管家采纳,获得10
34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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
Photodetectors: From Ultraviolet to Infrared 500
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6353675
求助须知:如何正确求助?哪些是违规求助? 8168762
关于积分的说明 17194370
捐赠科研通 5409870
什么是DOI,文献DOI怎么找? 2863864
邀请新用户注册赠送积分活动 1841239
关于科研通互助平台的介绍 1689915