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本文引用的文献

1
Electronic medical records for genetic research: results of the eMERGE consortium.电子病历用于基因研究:eMERGE 联盟的研究结果。
Sci Transl Med. 2011 Apr 20;3(79):79re1. doi: 10.1126/scitranslmed.3001807.
2
Analysis of the temperature affects on leukocyte surface antigen expression.分析温度对白细胞表面抗原表达的影响。
J Clin Lab Anal. 2011;25(2):118-25. doi: 10.1002/jcla.20444.
3
Conceptual and methodological issues relevant to cytokine and inflammatory marker measurements in clinical research.与临床研究中细胞因子和炎症标志物测量相关的概念和方法学问题。
Curr Opin Clin Nutr Metab Care. 2010 Sep;13(5):541-7. doi: 10.1097/MCO.0b013e32833cf3bc.
4
Sepsis biomarkers: a review.脓毒症生物标志物:综述。
Crit Care. 2010;14(1):R15. doi: 10.1186/cc8872. Epub 2010 Feb 9.
5
Research electronic data capture (REDCap)--a metadata-driven methodology and workflow process for providing translational research informatics support.研究电子数据采集(REDCap)——一种用于提供转化研究信息学支持的元数据驱动方法和工作流程。
J Biomed Inform. 2009 Apr;42(2):377-81. doi: 10.1016/j.jbi.2008.08.010. Epub 2008 Sep 30.
6
Translational research: crossing the valley of death.转化医学研究:跨越死亡谷。
Nature. 2008 Jun 12;453(7197):840-2. doi: 10.1038/453840a.
7
Information technology comes to medicine.信息技术进入医学领域。
N Engl J Med. 2007 Jun 14;356(24):2527-34. doi: 10.1056/NEJMhpr066212.
8
Collection, processing, and storage of biological samples in epidemiologic studies: sex hormones, carotenoids, inflammatory markers, and proteomics as examples.流行病学研究中生物样本的采集、处理与存储:以性激素、类胡萝卜素、炎症标志物及蛋白质组学为例
Cancer Epidemiol Biomarkers Prev. 2006 Sep;15(9):1578-81. doi: 10.1158/1055-9965.EPI-06-0629.
9
Clinical and translational science awards: a framework for a national research agenda.临床与转化科学奖:国家研究议程框架
Transl Res. 2006 Jul;148(1):4-5. doi: 10.1016/j.lab.2006.05.001.
10
International pediatric sepsis consensus conference: definitions for sepsis and organ dysfunction in pediatrics.国际儿童脓毒症共识会议:儿童脓毒症及器官功能障碍的定义
Pediatr Crit Care Med. 2005 Jan;6(1):2-8. doi: 10.1097/01.PCC.0000149131.72248.E6.

危重新生儿和儿童脓毒症生物标志物研究的新基础设施。

Novel infrastructure for sepsis biomarker research in critically ill neonates and children.

机构信息

Mayo Graduate School, Mayo Clinic, Rochester, MN, USA.

出版信息

Clin Transl Sci. 2013 Feb;6(1):21-5. doi: 10.1111/cts.12025. Epub 2013 Jan 14.

DOI:10.1111/cts.12025
PMID:23399085
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3578308/
Abstract

INTRODUCTION

Sepsis biomarker research requires an infrastructure to identify septic patients efficiently and to collect and store specimens properly. We developed a novel infrastructure to study biomarkers of sepsis in children.

METHODS

Patients in pediatric and neonatal intensive care units were enrolled prospectively; enrollment information was stored in a secure, remotely accessible database. Researchers were notified of electronic medical record (EMR) orders for blood cultures (a surrogate for a diagnostic evaluation of suspected sepsis) by a page triggered by the order. Staff confirmed patient enrollment and remotely submitted an EMR order for collection of study specimens simultaneous with the blood culture. Specimens were processed and stored by a mobile clinical research unit.

RESULTS

Over 2 years, 2029 patients were admitted; 138 were enrolled. Staff received pages for 95% of blood cultures collected from enrolled patients. The median time between the blood culture order and collection was 34 minutes (range 9-241). Study specimens were collected simultaneously with 41 blood cultures. The median times between specimen collection and storage for flow cytometry and cytokine analysis were 33 minutes (range 0-82) and 52 minutes (range 28-98), respectively.

CONCLUSION

This novel infrastructure facilitated prompt, proper collection and storage of specimens for sepsis biomarker analysis.

摘要

简介

脓毒症生物标志物研究需要一种基础设施,以便有效地识别脓毒症患者,并正确地采集和储存标本。我们开发了一种新的基础设施来研究儿童脓毒症的生物标志物。

方法

前瞻性地招募儿科和新生儿重症监护病房的患者;将入组信息存储在一个安全的、远程访问的数据库中。电子病历(EMR)中血培养(疑似脓毒症诊断评估的替代指标)医嘱会触发一个页面,通知研究人员。工作人员确认患者入组,并在与血培养同时远程提交 EMR 医嘱,以采集研究标本。标本由移动临床研究单元进行处理和储存。

结果

在 2 年期间,共收治了 2029 名患者;有 138 名患者入组。工作人员收到了采集入组患者血培养标本的 95%的页面通知。从下达血培养医嘱到采集标本的中位时间为 34 分钟(范围 9-241)。同时采集了 41 份血培养标本进行流式细胞术和细胞因子分析。采集和储存用于流式细胞术和细胞因子分析的标本的中位时间分别为 33 分钟(范围 0-82)和 52 分钟(范围 28-98)。

结论

这种新的基础设施促进了脓毒症生物标志物分析中标本的快速、正确采集和储存。