Neutrophil-to-lymphocyte ratio predicts poor prognosis in patients with chronic kidney disease–related pulmonary hypertension: A retrospective study

医学 危险系数 内科学 肾脏疾病 置信区间 中性粒细胞与淋巴细胞比率 肾功能 比例危险模型 回顾性队列研究 单变量分析 胃肠病学 多元分析 淋巴细胞
作者
Huipeng Ge,Linlin Zhang,Weiwei Zhang,Qiongjing Yuan,Xiangcheng Xiao
出处
期刊:Medicine [Wolters Kluwer]
卷期号:103 (44): e40161-e40161 被引量:2
标识
DOI:10.1097/md.0000000000040161
摘要

Inflammation plays a crucial role in chronic kidney disease (CKD) and pulmonary hypertension (PH). Considering that the neutrophil-to-lymphocyte ratio (NLR) has recently emerged as a powerful predictor of adverse outcomes in many chronic diseases, we aimed to investigate the association between NLR and all-cause mortality in patients with CKD-related PH. A total of 176 hospitalized patients with predialysis CKD-related PH were recruited retrospectively from January 2012 to June 2020 by reviewing electronic medical records. The NLR and clinical characteristics of the patients were included in the current analysis. The Kaplan–Meier method and univariate and multivariate Cox regression analyses were performed to identify the association between NLR and the incidence of all-cause mortality. Baseline NLR values were associated with hemoglobin, estimated glomerular filtration rate and C-reactive protein. During a median follow-up period of 32.5 (11.3–53.0) months, 23 patients died. Regardless of whether the NLR acted as a continuous variable with a hazard ratio of 1.408 (95% confidence interval: 1.124–1.763) or a categorical variable (NLR ≤4.3 vs NLR >4.3) with a hazard ratio of 3.100 (95% confidence interval: 1.299–7.402), an elevated NLR was significantly associated with all-cause mortality in different models. A greater NLR at baseline was remarkably associated with a higher all-cause mortality in hospitalized patients with CKD-related PH.
最长约 10秒,即可获得该文献文件

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
刚刚
戊烷发布了新的文献求助10
刚刚
刚刚
tuo完成签到,获得积分10
刚刚
刚刚
wure10发布了新的文献求助10
1秒前
1秒前
Kao应助天才来了采纳,获得10
2秒前
aaa发布了新的文献求助10
2秒前
2秒前
2秒前
高大诗柳发布了新的文献求助10
2秒前
3秒前
lys发布了新的文献求助10
3秒前
3秒前
默默的月光完成签到,获得积分10
3秒前
充电宝应助嵩嵩采纳,获得10
4秒前
4秒前
c_dreamjay关注了科研通微信公众号
4秒前
4秒前
lonely完成签到,获得积分20
4秒前
Zurich完成签到,获得积分10
5秒前
充电宝应助此时此刻采纳,获得10
5秒前
大雪纷飞发布了新的文献求助10
5秒前
1433223发布了新的文献求助10
5秒前
6秒前
6秒前
6秒前
桐桐应助犹豫的南采纳,获得10
6秒前
7秒前
nlcoisini应助壮观的桐采纳,获得10
7秒前
7秒前
jiluowen发布了新的文献求助10
7秒前
淡然冬灵发布了新的文献求助10
7秒前
xuv发布了新的文献求助10
7秒前
NexusExplorer应助李洋采纳,获得10
8秒前
zm完成签到,获得积分10
9秒前
edtaa发布了新的文献求助10
9秒前
MADAO发布了新的文献求助200
9秒前
凶狠的绿兰完成签到,获得积分10
10秒前
高分求助中
Les chinois de jakarta: temples et vie collective 1000
Autoparametric Resonance in Mechanical Systems 1000
Social Psychology 800
基于锂离子电池正极材料回收的绿色溶剂开发及工程化应用研究 800
Cosmos as Art Object: Studies in Plato's Timaeus and Other Dialogues 600
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
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 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7648324
求助须知:如何正确求助?哪些是违规求助? 9221045
关于积分的说明 19792368
捐赠科研通 7213794
什么是DOI,文献DOI怎么找? 3277851
关于科研通互助平台的介绍 2438921
邀请新用户注册赠送积分活动 2276129