• 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、单核细胞与淋巴细胞以及淋巴细胞与血小板比值对 COVID-19 相关并发症预后的价值。

Usefulness of the neutrophil-to-lymphocyte, monocyte-to-lymphocyte and lymphocyte-to-platelet ratios for the prognosis of COVID-19-associated complications.

机构信息

Department of Internal Medicine, Cuautitlán General Hospital, Instituto de Salud del Estado de México, State of Mexico. Mexico.

Hematology Department, Hospital General de México "Dr. Eduardo Liceaga", Secretaría de Salud. Mexico City. Mexico.

出版信息

Gac Med Mex. 2020;156(5):405-411. doi: 10.24875/GMM.M20000428.

DOI:10.24875/GMM.M20000428
PMID:33372941
Abstract

INTRODUCTION

Various biomarkers based on blood counts have been useful for the prognosis of patients critically ill with COVID-19.

OBJECTIVE

To describe the usefulness of the neutrophil-to-lymphocyte (NLR), monocyte-to-lymphocyte (MLR) and lymphocyte-to-platelet (LPR) ratios for the prognosis of mortality and ventilatory support requirement for COVID-19.

METHOD

Retrospective cohort of clinical records of patients with COVID-19 who required hospital care.

RESULTS

One-hundred and -twenty-five cases were analyzed; mean age was 51 years, and 60 % were of the male gender; 21.6 % had type 2 diabetes mellitus, and 18.4 % had hypertension. Mean leukocyte count was 9.5 x 10/µL, with a neutrophil mean of 8.0 x 10/µL. Mean NLR was 12.01, while for MLR it was 0.442, and for LPR, 373.07. Regarding the area under the curve, the following values were recorded for mortality: 0.594 for NLR, 0.628 for MLR and 0.505 for LPR; as for mechanical ventilation, the values were 0.581 for NLR, 0.619 for MLR and 0.547 for LPR. In the univariate analysis, an NLR value > 13 (OR: 2.750, p = 0.001) and an MLR of > 0.5 (OR: 2.069, p = 0.047) were associated with mortality; LPR showed no impact on mortality or respiratory support.

CONCLUSION

NLR and MLR are useful for predicting mortality in patients with COVID-19.

摘要

介绍

基于血细胞计数的各种生物标志物已被证明对 COVID-19 危重症患者的预后有用。

目的

描述中性粒细胞与淋巴细胞(NLR)、单核细胞与淋巴细胞(MLR)和淋巴细胞与血小板(LPR)比值对 COVID-19 患者死亡率和通气支持需求的预后价值。

方法

回顾性分析了需要住院治疗的 COVID-19 患者的临床记录。

结果

共分析了 125 例患者,平均年龄为 51 岁,60%为男性;21.6%患有 2 型糖尿病,18.4%患有高血压。平均白细胞计数为 9.5 x 10/µL,中性粒细胞平均为 8.0 x 10/µL。平均 NLR 为 12.01,MLR 为 0.442,LPR 为 373.07。关于曲线下面积,死亡率的记录值如下:NLR 为 0.594,MLR 为 0.628,LPR 为 0.505;对于机械通气,NLR 值为 0.581,MLR 值为 0.619,LPR 值为 0.547。在单因素分析中,NLR 值>13(OR:2.750,p=0.001)和 MLR>0.5(OR:2.069,p=0.047)与死亡率相关;LPR 对死亡率或呼吸支持无影响。

结论

NLR 和 MLR 可用于预测 COVID-19 患者的死亡率。

相似文献

1
Usefulness of the neutrophil-to-lymphocyte, monocyte-to-lymphocyte and lymphocyte-to-platelet ratios for the prognosis of COVID-19-associated complications.中性粒细胞与淋巴细胞、单核细胞与淋巴细胞以及淋巴细胞与血小板比值对 COVID-19 相关并发症预后的价值。
Gac Med Mex. 2020;156(5):405-411. doi: 10.24875/GMM.M20000428.
2
The systemic inflammation indexes after admission predict in-hospital mortality in patients with extensive burns.入院后全身炎症指标预测大面积烧伤患者的院内死亡率。
Burns. 2024 May;50(4):980-990. doi: 10.1016/j.burns.2024.01.020. Epub 2024 Jan 20.
3
Pretreatment serum neutrophil-to-lymphocyte and monocyte-to-lymphocyte ratios: Two tumor-related systemic inflammatory markers in patients with thymic epithelial tumors.治疗前血清中性粒细胞与淋巴细胞比值和单核细胞与淋巴细胞比值:胸腺癌患者的两个与肿瘤相关的系统性炎症标志物。
Cytokine. 2020 Sep;133:155149. doi: 10.1016/j.cyto.2020.155149. Epub 2020 Jun 5.
4
Prognostic utility of the combination of monocyte-to-lymphocyte ratio and neutrophil-to-lymphocyte ratio in patients with NSTEMI after primary percutaneous coronary intervention: a retrospective cohort study.单核细胞与淋巴细胞比值和中性粒细胞与淋巴细胞比值联合对行直接经皮冠状动脉介入治疗的非 ST 段抬高型心肌梗死患者预后的预测价值:一项回顾性队列研究。
BMJ Open. 2018 Oct 18;8(10):e023459. doi: 10.1136/bmjopen-2018-023459.
5
Prognostic value of neutrophils to lymphocytes and platelets ratio for 28-day mortality in patients with acute respiratory distress syndrome: a retrospective study.中性粒细胞与淋巴细胞及血小板比值对急性呼吸窘迫综合征患者 28 天死亡率的预后价值:一项回顾性研究。
BMC Pulm Med. 2022 Aug 15;22(1):314. doi: 10.1186/s12890-022-02112-w.
6
Predictive value of the neutrophil-to-lymphocyte ratio, monocyte-to-lymphocyte ratio, platelet-to-neutrophil ratio, and neutrophil-to-monocyte ratio in lupus nephritis.中性粒细胞与淋巴细胞比值、单核细胞与淋巴细胞比值、血小板与中性粒细胞比值及中性粒细胞与单核细胞比值在狼疮性肾炎中的预测价值。
Lupus. 2020 Aug;29(9):1031-1039. doi: 10.1177/0961203320929753. Epub 2020 Jun 5.
7
Leukocyte and platelet counts as prognostic values of testicular germ cell tumours.白细胞和血小板计数作为睾丸生殖细胞肿瘤的预后指标
Actas Urol Esp (Engl Ed). 2019 Jul-Aug;43(6):284-292. doi: 10.1016/j.acuro.2019.02.002. Epub 2019 May 10.
8
Neutrophil-to-Lymphocyte Ratio, Monocyte-to-Lymphocyte Ratio, Platelet-to-Lymphocyte Ratio, and Mean Platelet Volume-to-Platelet Count Ratio as Biomarkers in Critically Ill and Injured Patients: Which Ratio to Choose to Predict Outcome and Nature of Bacteremia?中性粒细胞与淋巴细胞比值、单核细胞与淋巴细胞比值、血小板与淋巴细胞比值和血小板平均体积与血小板计数比值作为危重症和创伤患者的生物标志物:选择哪种比值来预测菌血症的预后和性质?
Mediators Inflamm. 2018 Jul 15;2018:3758068. doi: 10.1155/2018/3758068. eCollection 2018.
9
Prognostic implications of neutrophil-lymphocyte ratio in COVID-19.中性粒细胞与淋巴细胞比值对 COVID-19 的预后意义。
Eur J Clin Invest. 2021 Jan;51(1):e13404. doi: 10.1111/eci.13404. Epub 2020 Sep 25.
10
A comparison of the neutrophil-lymphocyte, platelet-lymphocyte and monocyte-lymphocyte ratios in schizophrenia and bipolar disorder patients - a retrospective file review.精神分裂症和双相情感障碍患者中性粒细胞与淋巴细胞、血小板与淋巴细胞及单核细胞与淋巴细胞比值的比较——一项回顾性病历审查
Nord J Psychiatry. 2017 Oct;71(7):509-512. doi: 10.1080/08039488.2017.1340517. Epub 2017 Jun 23.

引用本文的文献

1
[Inflammatory indexes during remission induction of pediatric acute leukemia].[小儿急性白血病诱导缓解期的炎症指标]
Rev Med Inst Mex Seguro Soc. 2023 Sep 18;61(Suppl 2):S329-S336.
2
Relationships between Easily Available Biomarkers and Non-Dipper Blood Pressure Pattern in Patients with Stable Coronary Artery Disease.稳定型冠状动脉疾病患者中易于获取的生物标志物与非勺型血压模式之间的关系
Life (Basel). 2023 Feb 25;13(3):640. doi: 10.3390/life13030640.
3
Clinical Significance and Diagnostic Utility of NLR, LMR, PLR and SII in the Course of COVID-19: A Literature Review.
中性粒细胞与淋巴细胞比值、淋巴细胞与单核细胞比值、血小板与淋巴细胞比值及全身免疫炎症指数在新型冠状病毒肺炎病程中的临床意义及诊断价值:文献综述
J Inflamm Res. 2023 Feb 11;16:539-562. doi: 10.2147/JIR.S395331. eCollection 2023.
4
The neutrophil-to-lymphocyte and monocyte-to-lymphocyte ratios are independently associated with clinical outcomes of viral encephalitis.中性粒细胞与淋巴细胞比值以及单核细胞与淋巴细胞比值与病毒性脑炎的临床结局独立相关。
Front Neurol. 2023 Jan 11;13:1051865. doi: 10.3389/fneur.2022.1051865. eCollection 2022.
5
Biological Markers to Predict Outcome in Mechanically Ventilated Patients with Severe COVID-19 Living at High Altitude.预测高海拔地区重症新型冠状病毒肺炎机械通气患者预后的生物标志物
J Clin Med. 2023 Jan 13;12(2):644. doi: 10.3390/jcm12020644.
6
A Retrospective Analysis of the Importance of Biochemical and Hematological Parameters for Mortality Prediction in COVID-19 Cases.新冠病毒病病例中生化和血液学参数对死亡率预测重要性的回顾性分析
Cureus. 2022 Oct 10;14(10):e30129. doi: 10.7759/cureus.30129. eCollection 2022 Oct.
7
[Delta of neutrophil lymphocyte index and mortality in covid-19 disease].[新冠病毒疾病中中性粒细胞淋巴细胞比值与死亡率的关系]
Rev Med Inst Mex Seguro Soc. 2022 Oct 25;60(6):640-648.
8
The Neutrophil-to-Lymphocyte Ratio and the Platelet-to-Lymphocyte Ratio as Predictors of Mortality in Older Adults Hospitalized with COVID-19 in Peru.中性粒细胞与淋巴细胞比值和血小板与淋巴细胞比值可预测秘鲁 COVID-19 住院老年患者的死亡率。
Dis Markers. 2022 Aug 3;2022:2497202. doi: 10.1155/2022/2497202. eCollection 2022.
9
Does Neutrophil-to-lymphocyte Ratio at Admission Predict Severity and Mortality in COVID-19 Patients? A Systematic Review and Meta-analysis.入院时中性粒细胞与淋巴细胞比值能否预测COVID-19患者的严重程度和死亡率?一项系统评价和荟萃分析。
Indian J Crit Care Med. 2022 Mar;26(3):361-375. doi: 10.5005/jp-journals-10071-24135.
10
Why do men have worse COVID-19-related outcomes? A systematic review and meta-analysis with sex adjusted for age.为什么男性 COVID-19 相关结局更差?一项调整年龄后按性别进行系统评价和荟萃分析。
Braz J Med Biol Res. 2022 Feb 16;55:e11711. doi: 10.1590/1414-431X2021e11711. eCollection 2022.