• 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

电子健康记录揭示了按小时和医学专业划分的血液单位使用差异。

Electronic health records reveal variations in the use of blood units by hour and medical specialty.

作者信息

Turkulainen Esa, Peltola Elissa, Perola Markus, Koskinen Miika, Arvas Mikko, Ilmakunnas Minna

机构信息

Finnish Red Cross Blood Service, Research and Development, Helsinki, Finland.

IT Management, Helsinki University Hospital, Helsinki, Finland.

出版信息

Vox Sang. 2025 Jun;120(6):584-596. doi: 10.1111/vox.70016. Epub 2025 Apr 23.

DOI:10.1111/vox.70016
PMID:40268495
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12187620/
Abstract

BACKGROUND AND OBJECTIVES

Efficient blood supply chain requires accurate demand estimates. Blood demand is created by clinicians making transfusion decisions based on patient status. To better understand the use of blood units, we tracked their use hourly and across a large hospital organization.

MATERIALS AND METHODS

We analysed blood use in adult patients over 2021-2022 at HUS Helsinki University Hospital, serving a population of 1.7 million and consuming a third of blood units used in Finland. We utilized electronic health records (EHR) to map transfusions to patient demographics, diagnoses, medical specialties, treatment events, surgical procedures and laboratory values. Data were matched to transfusions of red blood cells, platelets and plasma using timestamps and treatment episodes.

RESULTS

In total, 107,331 units were transfused to 19,637 unique patients in 50,978 transfusion episodes. Most transfusions occurred in emergency settings, with 61.5% of use driven by emergency department admissions. The most common diagnoses were malignant neoplasms, anaemia and cardiovascular diseases. In total, 47.9% of transfusions were associated with a surgical procedure. Of these, 72.9% were for urgent surgery. Blood use peaked in the early evening and was lowest during morning office hours.

CONCLUSION

The study offers a comprehensive picture of blood use in one of the largest European hospital organizations. In addition to elective use, a significant portion of blood demand is driven by urgent and emergency needs, which introduce some uncertainty in predicting blood use. Future studies should aim to understand both elective and emergency blood use to help improve demand estimates.

摘要

背景与目的

高效的血液供应链需要准确的需求预估。血液需求由临床医生根据患者状况做出输血决策而产生。为了更好地了解血液单位的使用情况,我们按小时并在一个大型医院机构内追踪其使用情况。

材料与方法

我们分析了2021年至2022年期间赫尔辛基大学医院(HUS)成年患者的用血情况,该医院服务人口达170万,消耗了芬兰三分之一的血液单位。我们利用电子健康记录(EHR)将输血情况与患者人口统计学信息、诊断结果、医学专科、治疗事件、外科手术及实验室检查值进行匹配。数据通过时间戳和治疗时段与红细胞、血小板及血浆的输血情况相匹配。

结果

在50978次输血事件中,共向19637名不同患者输注了107331个单位的血液。大多数输血发生在急诊情况下,61.5%的用血是由急诊科收治患者导致的。最常见的诊断是恶性肿瘤、贫血和心血管疾病。总共有47.9%的输血与外科手术有关。其中,72.9%是用于急诊手术。用血在傍晚时分达到峰值,在上午办公时间最低。

结论

该研究全面呈现了欧洲最大的医院机构之一的用血情况。除了择期用血外,很大一部分血液需求是由紧急和急诊需求驱动的,这给预测用血带来了一些不确定性。未来的研究应旨在了解择期和急诊用血情况,以帮助改进需求预估。

相似文献

1
Electronic health records reveal variations in the use of blood units by hour and medical specialty.电子健康记录揭示了按小时和医学专业划分的血液单位使用差异。
Vox Sang. 2025 Jun;120(6):584-596. doi: 10.1111/vox.70016. Epub 2025 Apr 23.
2
Pharmacological interventions for the prevention of bleeding in people undergoing elective hip or knee surgery: a systematic review and network meta-analysis.择期髋关节或膝关节手术患者预防出血的药物干预措施:系统评价和网络荟萃分析。
Cochrane Database Syst Rev. 2024 Jan 16;1(1):CD013295. doi: 10.1002/14651858.CD013295.pub2.
3
Drugs to reduce bleeding and transfusion in major open vascular or endovascular surgery: a systematic review and network meta-analysis.减少大型开放性血管或血管内手术中出血和输血的药物:系统评价和网络荟萃分析。
Cochrane Database Syst Rev. 2023 Feb 17;2(2):CD013649. doi: 10.1002/14651858.CD013649.pub2.
4
Early erythropoietin for preventing red blood cell transfusion in preterm and/or low birth weight infants.早期使用促红细胞生成素预防早产和/或低出生体重儿的红细胞输血
Cochrane Database Syst Rev. 2006 Jul 19(3):CD004863. doi: 10.1002/14651858.CD004863.pub2.
5
Methods for blood loss estimation after vaginal birth.阴道分娩后失血估计方法。
Cochrane Database Syst Rev. 2018 Sep 13;9(9):CD010980. doi: 10.1002/14651858.CD010980.pub2.
6
Cell salvage for minimising perioperative allogeneic blood transfusion in adults undergoing elective surgery.成人择期手术中应用细胞回收术减少围术期异体输血。
Cochrane Database Syst Rev. 2023 Sep 8;9(9):CD001888. doi: 10.1002/14651858.CD001888.pub5.
7
Transfusion thresholds for guiding red blood cell transfusion.输血阈值指导红细胞输血。
Cochrane Database Syst Rev. 2021 Dec 21;12(12):CD002042. doi: 10.1002/14651858.CD002042.pub5.
8
Methods to decrease blood loss during liver resection: a network meta-analysis.肝切除术中减少失血的方法:一项网状Meta分析
Cochrane Database Syst Rev. 2016 Oct 31;10(10):CD010683. doi: 10.1002/14651858.CD010683.pub3.
9
Signs and symptoms to determine if a patient presenting in primary care or hospital outpatient settings has COVID-19.在基层医疗机构或医院门诊环境中,如果患者出现以下症状和体征,可判断其是否患有 COVID-19。
Cochrane Database Syst Rev. 2022 May 20;5(5):CD013665. doi: 10.1002/14651858.CD013665.pub3.
10
Desmopressin use for minimising perioperative blood transfusion.使用去氨加压素使围手术期输血降至最低限度。
Cochrane Database Syst Rev. 2017 Jul 10;7(7):CD001884. doi: 10.1002/14651858.CD001884.pub3.

本文引用的文献

1
Red Blood Cell Transfusion: 2023 AABB International Guidelines.红细胞输注:2023 AABB 国际指南。
JAMA. 2023 Nov 21;330(19):1892-1902. doi: 10.1001/jama.2023.12914.
2
Management of severe peri-operative bleeding: Guidelines from the European Society of Anaesthesiology and Intensive Care: Second update 2022.严重围手术期出血的管理:欧洲麻醉学与重症监护学会指南:2022年第二次更新
Eur J Anaesthesiol. 2023 Apr 1;40(4):226-304. doi: 10.1097/EJA.0000000000001803.
3
Red cell requisition and utilization pattern in a tertiary care hospital of South India.
印度南部一家三级保健医院的红细胞申请和使用情况。
Ann Afr Med. 2023 Jan-Mar;22(1):33-39. doi: 10.4103/aam.aam_141_21.
4
Forecasting blood demand for different blood groups in Shiraz using auto regressive integrated moving average (ARIMA) and artificial neural network (ANN) and a hybrid approaches.使用自回归积分移动平均 (ARIMA) 和人工神经网络 (ANN) 以及混合方法预测设拉子不同血型的血液需求。
Sci Rep. 2022 Dec 20;12(1):22031. doi: 10.1038/s41598-022-26461-y.
5
How I use platelet transfusions.血小板输注的应用
Blood. 2022 Nov 3;140(18):1925-1936. doi: 10.1182/blood.2022016558.
6
Patterns and determinants of blood transfusion in intensive care in Sweden between 2010 and 2018: A nationwide, retrospective cohort study.2010 年至 2018 年瑞典重症监护中输血的模式和决定因素:一项全国性、回顾性队列研究。
Transfusion. 2022 Jun;62(6):1188-1198. doi: 10.1111/trf.16942. Epub 2022 May 31.
7
A nationwide survey of clinical use of blood in Italy.一项意大利全国范围的血液临床使用调查。
Blood Transfus. 2021 Sep;19(5):384-395. doi: 10.2450/2021.0083-21. Epub 2021 Aug 5.
8
Characteristics of Recipients of Red Blood Cell Concentrates in a German Federal State.德国一个联邦州红细胞浓缩液接受者的特征
Transfus Med Hemother. 2020 Oct;47(5):370-377. doi: 10.1159/000510207. Epub 2020 Sep 22.
9
Blood components use at two private hospitals in Belo Horizonte, Minas Gerais between July 2017 and June 2019.2017年7月至2019年6月期间,米纳斯吉拉斯州贝洛奥里藏特市两家私立医院的血液成分使用情况。
Hematol Transfus Cell Ther. 2021 Oct-Dec;43(4):459-467. doi: 10.1016/j.htct.2020.07.010. Epub 2020 Sep 28.
10
Patterns of blood use in Sweden from 2008 to 2017: A nationwide cohort study.2008 年至 2017 年瑞典的血液使用模式:一项全国性队列研究。
Transfusion. 2020 Nov;60(11):2529-2536. doi: 10.1111/trf.16092. Epub 2020 Sep 23.