• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

中性粒细胞与淋巴细胞及血小板比值(N/LP比值),预测感染SARS-CoV-2的男女患者院内死亡率的可靠指标。

Neutrophil-to-Lymphocyte and Platelet Ratio (N/LP Ratio), a Reliable Criterion for Predicting In-Hospital Mortality in Both Genders Infected With SARS-CoV-2.

作者信息

Mohammadshahi Jafar, Ghobadi Hassan, Shargi Afshan, Moradkhani Hossein, Rezaei Hamed, Kazemy Mahur, Aslani Mohammad Reza

机构信息

Department of Infectious Diseases and Tropical Medicine, School of Medicine, Ardabil University of Medical Sciences, Ardabil, Iran.

Lung Diseases Research Center, Ardabil University of Medical Sciences, Ardabil, Iran.

出版信息

Mediators Inflamm. 2024 Dec 28;2024:5720709. doi: 10.1155/mi/5720709. eCollection 2024.

DOI:10.1155/mi/5720709
PMID:39759900
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11699982/
Abstract

The neutrophil-to-lymphocyte ratio (NLR), monocyte-to-lymphocyte ratio (MLR), platelet-to-lymphocyte ratio (PLR), derived neutrophil-to-lymphocyte ratio (dNLR), neutrophil-to-lymphocyte and platelet ratio (N/LP ratio), aggregate index of systemic inflammation (AISI), systemic inflammation response index (SIRI), and systemic inflammation index (SII) have emerged as noteworthy determinants in evaluating the severity and mortality prognosis of inflammatory diseases. In order to predict mortality rate, this study aimed to assess the impact of systemic inflammatory markers on both men and women who were admitted to the hospital due to SARS-CoV-2 infection. The laboratory parameters of the 2007 COVID-19 patients were analyzed in a retrospective study (men = 1145 and women = 862). Receiver operating characteristic (ROC) analysis was used to determine the capability of inflammatory markers to differentiate the severity of COVID-19, while survival probability was determined using Kaplan-Meier curves, with the endpoint being death. To prevent any linear bias, the inflammatory indices were assessed separately using univariate analysis for Charlson comorbidity index (CCI), and adjustments were made for confounding factors if < 0.2. Adjusted-NLR, adjusted-MLR, N/LP ratio, adjusted-dNLR, adjusted-AISI, adjusted-SII, and adjusted-SIRI exhibited remarkably higher values in patients who did not survive as compared to those who did. The multivariate Cox regression models demonstrated significant association between survival and N/LP ratio (HR = 1.564, 95% CI = 1.161 to 2.107, < 0.01) in men and N/LP ratio (HR = 1.745, 95% CI = 1.230 to 2.477, < 0.01) and adjusted-SII (HR = 6.855, 95% CI = 1.454 to 32.321, < 0.05) in women. A reliable predictor in the current study of men and women with COVID-19 was N/LP ratio.

摘要

中性粒细胞与淋巴细胞比值(NLR)、单核细胞与淋巴细胞比值(MLR)、血小板与淋巴细胞比值(PLR)、衍生中性粒细胞与淋巴细胞比值(dNLR)、中性粒细胞与淋巴细胞及血小板比值(N/LP比值)、全身炎症聚集指数(AISI)、全身炎症反应指数(SIRI)和全身炎症指数(SII)已成为评估炎症性疾病严重程度和死亡预后的重要决定因素。为了预测死亡率,本研究旨在评估全身炎症标志物对因SARS-CoV-2感染入院的男性和女性的影响。在一项回顾性研究中分析了2007例COVID-19患者的实验室参数(男性 = 1145例,女性 = 862例)。采用受试者工作特征(ROC)分析来确定炎症标志物区分COVID-19严重程度的能力,同时使用Kaplan-Meier曲线确定生存概率,终点为死亡。为防止任何线性偏差,使用Charlson合并症指数(CCI)的单因素分析分别评估炎症指标,若P<0.2,则对混杂因素进行调整。与存活患者相比,未存活患者的调整后NLR、调整后MLR、N/LP比值、调整后dNLR、调整后AISI、调整后SII和调整后SIRI的值显著更高。多因素Cox回归模型显示,男性的生存与N/LP比值(HR = 1.564,95%CI = 1.161至2.107,P<0.01)以及女性的N/LP比值(HR = 1.745,95%CI = 1.230至2.477,P<0.01)和调整后SII(HR = 6.855,95%CI = 1.454至32.321,P<0.05)之间存在显著关联。在当前对COVID-19男性和女性的研究中,一个可靠的预测指标是N/LP比值。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d344/11699982/b8745771f1a3/MI2024-5720709.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d344/11699982/44ce925b4156/MI2024-5720709.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d344/11699982/281904e0dcef/MI2024-5720709.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d344/11699982/b8745771f1a3/MI2024-5720709.003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d344/11699982/44ce925b4156/MI2024-5720709.001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d344/11699982/281904e0dcef/MI2024-5720709.002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/d344/11699982/b8745771f1a3/MI2024-5720709.003.jpg

相似文献

1
Neutrophil-to-Lymphocyte and Platelet Ratio (N/LP Ratio), a Reliable Criterion for Predicting In-Hospital Mortality in Both Genders Infected With SARS-CoV-2.中性粒细胞与淋巴细胞及血小板比值(N/LP比值),预测感染SARS-CoV-2的男女患者院内死亡率的可靠指标。
Mediators Inflamm. 2024 Dec 28;2024:5720709. doi: 10.1155/mi/5720709. eCollection 2024.
2
The Systemic Inflammation Index on Admission Predicts In-Hospital Mortality in COVID-19 Patients.入院时的全身炎症指数可预测 COVID-19 患者的住院死亡率。
Molecules. 2020 Dec 4;25(23):5725. doi: 10.3390/molecules25235725.
3
[The relationship between the comprehensive blood inflammation indexes and stage I pneumoconiosis and its combined lung infections].[全血炎症指标与一期尘肺及其合并肺部感染的关系]
Zhonghua Lao Dong Wei Sheng Zhi Ye Bing Za Zhi. 2024 May 20;42(5):350-355. doi: 10.3760/cma.j.cn121094-20231010-00081.
4
Aggregate index of systemic inflammation (AISI) in admission as a reliable predictor of mortality in COPD patients with COVID-19.入院时全身性炎症综合指数(AISI)可作为 COVID-19 合并 COPD 患者死亡率的可靠预测指标。
BMC Pulm Med. 2023 Mar 31;23(1):107. doi: 10.1186/s12890-023-02397-5.
5
Role of leukocytes and systemic inflammation indexes (NLR, PLR, MLP, dNLR, NLPR, AISI, SIR-I, and SII) on admission predicts in-hospital mortality in non-elderly and elderly COVID-19 patients.白细胞及全身炎症指标(中性粒细胞与淋巴细胞比值、血小板与淋巴细胞比值、单核细胞与淋巴细胞比值、动态中性粒细胞与淋巴细胞比值、中性粒细胞与淋巴细胞比值乘积、急性炎症严重指数、全身炎症反应指数-I和全身炎症反应指数)在入院时的作用可预测非老年和老年COVID-19患者的院内死亡率。
Front Med (Lausanne). 2022 Aug 18;9:916453. doi: 10.3389/fmed.2022.916453. eCollection 2022.
6
Study on the predictive value of laboratory inflammatory markers and blood count-derived inflammatory markers for disease severity and prognosis in COVID-19 patients: a study conducted at a university-affiliated infectious disease hospital.研究实验室炎症标志物和基于血常规的炎症标志物对 COVID-19 患者疾病严重程度和预后的预测价值:在一家大学附属医院传染病医院进行的研究。
Ann Med. 2024 Dec;56(1):2415401. doi: 10.1080/07853890.2024.2415401. Epub 2024 Oct 24.
7
[Predictive value of whole blood cell derived inflammatory markers in combination with NT-proBNP on the prognosis of patients with chronic heart failure].全血细胞衍生炎症标志物联合NT-proBNP对慢性心力衰竭患者预后的预测价值
Zhonghua Xin Xue Guan Bing Za Zhi. 2025 Feb 24;53(2):143-150. doi: 10.3760/cma.j.cn112148-20241211-00774.
8
Differences in the inflammatory response and outcome among hospitalized patients during different waves of the COVID-19 pandemic.新冠疫情不同波次期间住院患者炎症反应及预后的差异。
Front Immunol. 2025 Mar 27;16:1545181. doi: 10.3389/fimmu.2025.1545181. eCollection 2025.
9
Exploring the correlations between six serological inflammatory markers and different stages of type 2 diabetic retinopathy.探索六种血清学炎症标志物与2型糖尿病视网膜病变不同阶段之间的相关性。
Sci Rep. 2025 Jan 10;15(1):1567. doi: 10.1038/s41598-025-85164-2.
10
Systemic immune-inflammation index, neutrophil-to-lymphocyte ratio, platelet-to-lymphocyte ratio can predict clinical outcomes in patients with metastatic non-small-cell lung cancer treated with nivolumab.系统免疫炎症指数、中性粒细胞与淋巴细胞比值、血小板与淋巴细胞比值可预测纳武利尤单抗治疗转移性非小细胞肺癌患者的临床结局。
J Clin Lab Anal. 2019 Oct;33(8):e22964. doi: 10.1002/jcla.22964. Epub 2019 Jul 8.

本文引用的文献

1
Prognostic Value of Admission Neutrophil Count in Asthma Patients with COVID-19: A Comparative Analysis with other Systemic Inflammation Indices for In-Hospital Mortality Prediction.COVID-19 哮喘患者入院时中性粒细胞计数的预后价值:与其他全身炎症指标对院内死亡率预测的比较分析
Iran J Allergy Asthma Immunol. 2023 Sep 3;22(4):390-397. doi: 10.18502/ijaai.v22i4.13611.
2
Chest computed tomography severity score is a reliable predictor of mortality in patients with chronic obstructive pulmonary disease co-infected with COVID-19.胸部计算机断层扫描严重程度评分是预测慢性阻塞性肺疾病合并 COVID-19 患者死亡率的可靠指标。
Eur J Med Res. 2023 Sep 15;28(1):346. doi: 10.1186/s40001-023-01336-8.
3
Predictive Value of the Platelet Times Neutrophil-to-Lymphocyte Ratio (SII Index) for COVID-19 In-Hospital Mortality.
血小板与中性粒细胞-淋巴细胞比值(SII指数)对COVID-19住院死亡率的预测价值。
EJIFCC. 2023 Jul 10;34(2):167-173. eCollection 2023 Jul.
4
Aggregate index of systemic inflammation (AISI) in admission as a reliable predictor of mortality in COPD patients with COVID-19.入院时全身性炎症综合指数(AISI)可作为 COVID-19 合并 COPD 患者死亡率的可靠预测指标。
BMC Pulm Med. 2023 Mar 31;23(1):107. doi: 10.1186/s12890-023-02397-5.
5
Role of Lipid Profile and Its Relative Ratios (Cholesterol/HDL-C, Triglyceride/HDL-C, LDL-C/HDL-C, WBC/HDL-C, and FBG/HDL-C) on Admission Predicts In-Hospital Mortality COVID-19.入院时血脂谱及其相对比值(胆固醇/高密度脂蛋白胆固醇、甘油三酯/高密度脂蛋白胆固醇、低密度脂蛋白胆固醇/高密度脂蛋白胆固醇、白细胞/高密度脂蛋白胆固醇和空腹血糖/高密度脂蛋白胆固醇)对预测 COVID-19 患者院内死亡率的作用
J Lipids. 2023 Mar 6;2023:6329873. doi: 10.1155/2023/6329873. eCollection 2023.
6
Role of leukocytes and systemic inflammation indexes (NLR, PLR, MLP, dNLR, NLPR, AISI, SIR-I, and SII) on admission predicts in-hospital mortality in non-elderly and elderly COVID-19 patients.白细胞及全身炎症指标(中性粒细胞与淋巴细胞比值、血小板与淋巴细胞比值、单核细胞与淋巴细胞比值、动态中性粒细胞与淋巴细胞比值、中性粒细胞与淋巴细胞比值乘积、急性炎症严重指数、全身炎症反应指数-I和全身炎症反应指数)在入院时的作用可预测非老年和老年COVID-19患者的院内死亡率。
Front Med (Lausanne). 2022 Aug 18;9:916453. doi: 10.3389/fmed.2022.916453. eCollection 2022.
7
Bone mineral density (BMD) and neutrophil-lymphocyte ratio (NLR), monocyte-lymphocyte ratio (MLR), and platelet-lymphocyte ratio (PLR) in childhood thyroid diseases.儿童甲状腺疾病的骨密度(BMD)和中性粒细胞-淋巴细胞比值(NLR)、单核细胞-淋巴细胞比值(MLR)和血小板-淋巴细胞比值(PLR)。
Eur Rev Med Pharmacol Sci. 2022 Mar;26(6):1945-1951. doi: 10.26355/eurrev_202203_28342.
8
Sex-differences in COVID-19 associated excess mortality is not exceptional for the COVID-19 pandemic.新冠疫情相关超额死亡率的性别差异对于新冠大流行来说并非罕见。
Sci Rep. 2021 Oct 21;11(1):20815. doi: 10.1038/s41598-021-00213-w.
9
Gender-based incidence, recovery period, and mortality rate of COVID-19 among the population of district Attock, Pakistan.巴基斯坦阿托克地区人群中 COVID-19 的基于性别的发病率、恢复期和死亡率。
Braz J Biol. 2021 Oct 11;83:e249125. doi: 10.1590/1519-6984.249125. eCollection 2021.
10
Sex differences in the incidence, mortality, and fatality of COVID-19 in Peru.秘鲁新冠肺炎发病率、死亡率及病死率的性别差异。
PLoS One. 2021 Jun 14;16(6):e0253193. doi: 10.1371/journal.pone.0253193. eCollection 2021.