• 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

血细胞计数异常的聚类与未来死亡风险。

Clustering of blood cell count abnormalities and future risk of death.

机构信息

Chair of Cardiology, University of Eastern Piedmont and Maggiore della Carità Hospital, Novara, Italy.

Department of Medicine and Ageing Sciences, "G. d'Annunzio" University, Chieti, Italy.

出版信息

Eur J Clin Invest. 2021 Aug;51(8):e13562. doi: 10.1111/eci.13562. Epub 2021 May 7.

DOI:10.1111/eci.13562
PMID:33960412
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8365677/
Abstract

BACKGROUND

The identification of novel predictors of poor outcome may help stratify cardiovascular risk. Aim was to evaluate the individual contribution of blood cell count parameters, as well as their clustering, on the risk of death and cardiovascular events over the long term in the population-based Malmö Diet and Cancer Study cohort.

METHODS

In 30,447 individuals (age 57 ± 8 years), we assessed the incidence of all-cause death (primary endpoint) and major adverse cardiovascular events (MACE, secondary outcome measure) according to absence or presence of one, two and three factors at baseline out of the following: anaemia, leukocytosis and thrombocytosis. Median follow-up was 16 years.

RESULTS

The percentages of all-cause death were 19.5% in individuals without factors, 21.3% in those with one factor, 27.4% with two and 46.4% with three (log-rank test P < .001). The crude incidence of MACE was 28.0%, 29.2%, 35.5% and 57.1%, respectively (log-rank test P < .001). At multivariate analysis, we found a stepwise increase in overall mortality with increasing number of prevalent factors (one factor: HR 1.23, 95% CI 1.14-1.31, P < .001; two factors: 1.61, 1.37-1.89, P < .001; three factors: 2.69, 1.44-5.01, P = .002, vs no factor). Similar findings were observed for the incidence of MACE (one factor: adjusted HR 1.18, 95% CI 1.11-1.24, P < .001; two factors: 1.52, 1.33-1.76, P < .001; three factors: 2.03, 1.21-3.67, P < .001, vs no factor).

CONCLUSIONS

The easily assessable clustering of anaemia, leukocytosis and thrombocytosis heralds higher incidence of death and adverse cardiovascular events.

摘要

背景

识别新的预后不良预测因子有助于分层心血管风险。目的是评估在基于人群的马尔默饮食与癌症研究队列中,血细胞计数参数的个体贡献及其聚类对长期全因死亡和心血管事件风险的影响。

方法

在 30447 名(年龄 57±8 岁)个体中,我们根据基线时是否存在以下一个、两个和三个因素评估全因死亡(主要终点)和主要不良心血管事件(次要终点测量)的发生率:贫血、白细胞增多和血小板增多。中位随访时间为 16 年。

结果

无上述因素者的全因死亡率为 19.5%,有一个因素者为 21.3%,有两个因素者为 27.4%,有三个因素者为 46.4%(对数秩检验 P<0.001)。未校正的 MACE 发生率分别为 28.0%、29.2%、35.5%和 57.1%(对数秩检验 P<0.001)。多变量分析发现,随着现患因素数量的增加,总死亡率呈逐步增加趋势(一个因素:HR 1.23,95%CI 1.14-1.31,P<0.001;两个因素:1.61,1.37-1.89,P<0.001;三个因素:2.69,1.44-5.01,P=0.002,与无因素相比)。同样的发现也见于 MACE 的发生率(一个因素:校正 HR 1.18,95%CI 1.11-1.24,P<0.001;两个因素:1.52,1.33-1.76,P<0.001;三个因素:2.03,1.21-3.67,P<0.001,与无因素相比)。

结论

贫血、白细胞增多和血小板增多的易评估聚类预示着更高的死亡率和不良心血管事件发生率。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fd4/8365677/ada7cda83734/ECI-51-e13562-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fd4/8365677/97717e6062ac/ECI-51-e13562-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fd4/8365677/6dc13ea8626d/ECI-51-e13562-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fd4/8365677/5c364b7b40c0/ECI-51-e13562-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fd4/8365677/ada7cda83734/ECI-51-e13562-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fd4/8365677/97717e6062ac/ECI-51-e13562-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fd4/8365677/6dc13ea8626d/ECI-51-e13562-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fd4/8365677/5c364b7b40c0/ECI-51-e13562-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9fd4/8365677/ada7cda83734/ECI-51-e13562-g004.jpg

相似文献

1
Clustering of blood cell count abnormalities and future risk of death.血细胞计数异常的聚类与未来死亡风险。
Eur J Clin Invest. 2021 Aug;51(8):e13562. doi: 10.1111/eci.13562. Epub 2021 May 7.
2
WBC count predicts heart failure in diabetes and coronary artery disease patients: a retrospective cohort study.白细胞计数可预测糖尿病合并冠心病患者的心力衰竭:一项回顾性队列研究。
ESC Heart Fail. 2021 Oct;8(5):3748-3759. doi: 10.1002/ehf2.13513. Epub 2021 Jul 15.
3
Preoperative anemia, leukocytosis and thrombocytosis identify aggressive endometrial carcinomas.术前贫血、白细胞增多和血小板增多可识别侵袭性子宫内膜癌。
Gynecol Oncol. 2013 Nov;131(2):410-5. doi: 10.1016/j.ygyno.2013.08.032. Epub 2013 Sep 1.
4
Association of Preoperative Thrombocytosis and Leukocytosis With Postoperative Morbidity and Mortality Among Patients With Ovarian Cancer.卵巢癌患者术前血小板增多症和白细胞增多症与术后发病率和死亡率的关联
Obstet Gynecol. 2015 Dec;126(6):1191-1197. doi: 10.1097/AOG.0000000000001138.
5
Prognostic Value of the Preoperative Platelet-to-leukocyte Ratio for Oncologic Outcomes in Patients Undergoing Radical Cystectomy for Bladder Cancer.术前血小板与白细胞比值对膀胱癌根治性膀胱切除术患者肿瘤学结局的预后价值
Clin Genitourin Cancer. 2017 Dec;15(6):e915-e921. doi: 10.1016/j.clgc.2017.05.009. Epub 2017 May 10.
6
Incidence of anemia, leukocytosis, and thrombocytosis in patients with solid tumors in China.中国实体瘤患者贫血、白细胞增多症和血小板增多症的发病率。
Tumour Biol. 2010 Dec;31(6):633-41. doi: 10.1007/s13277-010-0079-8. Epub 2010 Jul 23.
7
Platelet Indices and Risk of Death and Cardiovascular Events: Results from a Large Population-Based Cohort Study.血小板指数与死亡和心血管事件风险:来自一项大型基于人群的队列研究的结果。
Thromb Haemost. 2019 Nov;119(11):1773-1784. doi: 10.1055/s-0039-1694969. Epub 2019 Aug 20.
8
Impact of pretreatment hematologic profile on survival of colorectal cancer patients.预处理血液学特征对结直肠癌患者生存的影响。
Tumour Biol. 2010 Aug;31(4):255-60. doi: 10.1007/s13277-010-0024-x. Epub 2010 Mar 25.
9
Plasma proneurotensin and incidence of diabetes, cardiovascular disease, breast cancer, and mortality.血浆前神经降压素与糖尿病、心血管疾病、乳腺癌及死亡率的关系。
JAMA. 2012 Oct 10;308(14):1469-75. doi: 10.1001/jama.2012.12998.
10
Tyrosine kinase inhibitors in chronic myeloid leukaemia and emergent cardiovascular disease.酪氨酸激酶抑制剂在慢性髓性白血病和新发心血管疾病中的作用。
Heart. 2021 Apr;107(8):667-673. doi: 10.1136/heartjnl-2020-318251. Epub 2021 Jan 8.

引用本文的文献

1
Risk of incident fractures in individuals hospitalised due to unexplained syncope and orthostatic hypotension.不明原因晕厥和体位性低血压住院患者的骨折事件风险。
BMC Med. 2021 Aug 27;19(1):188. doi: 10.1186/s12916-021-02065-7.

本文引用的文献

1
Plaque vulnerability and adverse outcomes: The long road to fight atherosclerosis.斑块易损性与不良后果:对抗动脉粥样硬化的漫长之路
Eur J Clin Invest. 2020 Jun;50(6):e13253. doi: 10.1111/eci.13253. Epub 2020 May 15.
2
Platelet Indices and Risk of Death and Cardiovascular Events: Results from a Large Population-Based Cohort Study.血小板指数与死亡和心血管事件风险:来自一项大型基于人群的队列研究的结果。
Thromb Haemost. 2019 Nov;119(11):1773-1784. doi: 10.1055/s-0039-1694969. Epub 2019 Aug 20.
3
Atherosclerosis.动脉粥样硬化。
Nat Rev Dis Primers. 2019 Aug 16;5(1):56. doi: 10.1038/s41572-019-0106-z.
4
CHADSVASc score and adverse outcomes in middle-aged individuals without atrial fibrillation.CHADSVASc 评分与无房颤的中年个体不良结局。
Eur J Prev Cardiol. 2019 Dec;26(18):1987-1997. doi: 10.1177/2047487319868320. Epub 2019 Aug 14.
5
Anticytokine Immune Therapy and Atherothrombotic Cardiovascular Risk.抗细胞因子免疫治疗与动脉粥样硬化血栓形成性心血管风险
Arterioscler Thromb Vasc Biol. 2019 Aug;39(8):1510-1519. doi: 10.1161/ATVBAHA.119.311998. Epub 2019 Jul 11.
6
Novel Antiatherosclerotic Therapies.新型抗动脉粥样硬化治疗方法。
Arterioscler Thromb Vasc Biol. 2019 Apr;39(4):538-545. doi: 10.1161/ATVBAHA.118.310958.
7
The co-predictive value of a cardiovascular score for CV outcomes in diabetic patients with no atrial fibrillation.无房颤糖尿病患者心血管评分对心血管结局的协同预测价值。
Diabetes Metab Res Rev. 2019 Jul;35(5):e3145. doi: 10.1002/dmrr.3145. Epub 2019 Mar 18.
8
The link between anemia and adverse outcomes in patients with acute coronary syndrome.急性冠状动脉综合征患者贫血与不良结局之间的联系。
Expert Rev Cardiovasc Ther. 2019 Mar;17(3):151-159. doi: 10.1080/14779072.2019.1575729. Epub 2019 Feb 19.
9
The Coagulation Factors Fibrinogen, Thrombin, and Factor XII in Inflammatory Disorders-A Systematic Review.炎症性疾病中的凝血因子纤维蛋白原、凝血酶和因子 XII:系统评价。
Front Immunol. 2018 Jul 26;9:1731. doi: 10.3389/fimmu.2018.01731. eCollection 2018.
10
Comparison of factors affecting platelet reactivity in various platelet function tests.比较不同血小板功能检测中影响血小板反应性的因素。
Platelets. 2019;30(5):631-636. doi: 10.1080/09537104.2018.1499887. Epub 2018 Jul 30.