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芬太尼掺入海洛因疫情的综合征监测:紧急医疗服务、法医和中毒控制中心数据库的利用。

Syndrome surveillance of fentanyl-laced heroin outbreaks: Utilization of EMS, Medical Examiner and Poison Center databases.

作者信息

Moore P Quincy, Weber Joseph, Cina Steven, Aks Steven

机构信息

1900 W Polk St., 10th Floor, Administration Building, Chicago, IL 60612, USA.

Chicago West EMS System, 1900 W Polk St., 10th Floor, Administration Building, Chicago, IL 60612, USA.

出版信息

Am J Emerg Med. 2017 Nov;35(11):1706-1708. doi: 10.1016/j.ajem.2017.05.003. Epub 2017 May 8.

DOI:10.1016/j.ajem.2017.05.003
PMID:28506507
Abstract

OBJECTIVE

Describe surveillance data from three existing surveillance systems during an unexpected fentanyl outbreak in a large metropolitan area.

METHODS

We performed a retrospective analysis of three data sets: Chicago Fire Department EMS, Cook County Medical Examiner, and Illinois Poison Center. Each included data from January 1, 2015 through December 31, 2015. EMS data included all EMS responses in Chicago, Illinois, for suspected opioid overdose in which naloxone was administered and EMS personnel documented other criteria indicative of opioid overdose. Medical Examiner data included all deaths in Cook County, Illinois, related to heroin, fentanyl or both. Illinois Poison Center data included all calls in Chicago, Illinois, related to fentanyl, heroin, and other prescription opioids. Descriptive statistics using Microsoft Excel® were used to analyze the data and create figures.

RESULTS

We identified a spike in opioid-related EMS responses during an 11-day period from September 30-October 10, 2015. Medical Examiner data showed an increase in both fentanyl and mixed fentanyl/heroin related deaths during the months of September and October, 2015 (375% and 550% above the median, respectively.) Illinois Poison Center data showed no significant increase in heroin, fentanyl, or other opioid-related calls during September and October 2015.

CONCLUSION

Our data suggests that EMS data is an effective real-time surveillance mechanism for changes in the rate of opioid overdoses. Medical Examiner's data was found to be valuable for confirmation of EMS surveillance data and identification of specific intoxicants. Poison Center data did not correlate with EMS or Medical Examiner data.

摘要

目的

描述在一个大城市地区意外发生芬太尼疫情期间,来自三个现有监测系统的监测数据。

方法

我们对三个数据集进行了回顾性分析:芝加哥消防局紧急医疗服务(EMS)、库克县法医办公室以及伊利诺伊州中毒控制中心。每个数据集都包含2015年1月1日至2015年12月31日的数据。EMS数据包括伊利诺伊州芝加哥市所有因疑似阿片类药物过量而进行的EMS响应,其中使用了纳洛酮,并且EMS人员记录了其他表明阿片类药物过量的标准。法医办公室数据包括伊利诺伊州库克县所有与海洛因、芬太尼或两者相关的死亡。伊利诺伊州中毒控制中心数据包括伊利诺伊州芝加哥市所有与芬太尼、海洛因和其他处方阿片类药物相关的呼叫。使用Microsoft Excel®进行描述性统计分析数据并制作图表。

结果

我们在2015年9月30日至10月10日的11天期间发现与阿片类药物相关的EMS响应出现激增。法医办公室数据显示,2015年9月和10月,芬太尼和芬太尼/海洛因混合相关死亡人数均有所增加(分别比中位数高出375%和550%)。伊利诺伊州中毒控制中心数据显示,2015年9月和10月,海洛因、芬太尼或其他阿片类药物相关呼叫没有显著增加。

结论

我们的数据表明,EMS数据是监测阿片类药物过量发生率变化的有效实时监测机制。发现法医办公室数据对于确认EMS监测数据和识别特定毒物很有价值。中毒控制中心数据与EMS或法医办公室数据不相关。

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