在意大利建立法医血液酒精分析的国家决策规则:结合测量不确定度和实验室间绩效的动态框架

IF 2.5 3区 医学 Q1 MEDICINE, LEGAL
Luca Zamengo , Gianpaola Tedeschi , Giampietro Frison , Denis Badocco , Carlo Griffoni , Diego Ponzin , Alan Wayne Jones
{"title":"在意大利建立法医血液酒精分析的国家决策规则:结合测量不确定度和实验室间绩效的动态框架","authors":"Luca Zamengo ,&nbsp;Gianpaola Tedeschi ,&nbsp;Giampietro Frison ,&nbsp;Denis Badocco ,&nbsp;Carlo Griffoni ,&nbsp;Diego Ponzin ,&nbsp;Alan Wayne Jones","doi":"10.1016/j.forsciint.2025.112658","DOIUrl":null,"url":null,"abstract":"<div><div>This article introduces a dynamic framework for reporting blood alcohol concentration (BAC) by integrating measurement uncertainty and interlaboratory variation. This approach is considered necessary to ensure more consistent decision-making rules when analytical results are used in a legal context. Although these rules have been developed within the Italian context, they are adaptable to other countries as well. Included in the framework are critical challenges stemming from variability in laboratory performance and method uncertainty. Data were collected through a national interlaboratory proficiency program involving up to 50 laboratories since 2017. Robust statistical methods were applied to determine consensus values and combined uncertainties. Laboratories meeting inclusion criteria were classified into four performance tiers (Q1-Q4) based on the quartiles of the guard band (GB) distribution, derived from their own uncertainty values. GB values were used to set standardized decision limits, ensuring that the maximum false positive risk remains within 5 % across all laboratories. Results highlight significant performance discrepancies, with GB values varying widely and leading to fragmented decision limits. By clustering laboratories into quartile groups, the framework reduces fragmentation and harmonizes assessments while at the same time maintaining a transparent, performance-based classification. Additionally, targeted training programs and periodic recalibration of uncertainty and GB values promote continuous improvement and enable laboratories to advance to higher tiers as their performance improves. This approach enhances overall reliability, accuracy, and fairness of BAC assessments, and provides a scientifically rigorous approach to uniform reporting results from forensic laboratories.</div></div>","PeriodicalId":12341,"journal":{"name":"Forensic science international","volume":"377 ","pages":"Article 112658"},"PeriodicalIF":2.5000,"publicationDate":"2025-09-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Establishing national decision rules for forensic blood alcohol analysis in Italy: A dynamic framework incorporating measurement uncertainty and interlaboratory performance\",\"authors\":\"Luca Zamengo ,&nbsp;Gianpaola Tedeschi ,&nbsp;Giampietro Frison ,&nbsp;Denis Badocco ,&nbsp;Carlo Griffoni ,&nbsp;Diego Ponzin ,&nbsp;Alan Wayne Jones\",\"doi\":\"10.1016/j.forsciint.2025.112658\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>This article introduces a dynamic framework for reporting blood alcohol concentration (BAC) by integrating measurement uncertainty and interlaboratory variation. This approach is considered necessary to ensure more consistent decision-making rules when analytical results are used in a legal context. Although these rules have been developed within the Italian context, they are adaptable to other countries as well. Included in the framework are critical challenges stemming from variability in laboratory performance and method uncertainty. Data were collected through a national interlaboratory proficiency program involving up to 50 laboratories since 2017. Robust statistical methods were applied to determine consensus values and combined uncertainties. Laboratories meeting inclusion criteria were classified into four performance tiers (Q1-Q4) based on the quartiles of the guard band (GB) distribution, derived from their own uncertainty values. GB values were used to set standardized decision limits, ensuring that the maximum false positive risk remains within 5 % across all laboratories. Results highlight significant performance discrepancies, with GB values varying widely and leading to fragmented decision limits. By clustering laboratories into quartile groups, the framework reduces fragmentation and harmonizes assessments while at the same time maintaining a transparent, performance-based classification. Additionally, targeted training programs and periodic recalibration of uncertainty and GB values promote continuous improvement and enable laboratories to advance to higher tiers as their performance improves. This approach enhances overall reliability, accuracy, and fairness of BAC assessments, and provides a scientifically rigorous approach to uniform reporting results from forensic laboratories.</div></div>\",\"PeriodicalId\":12341,\"journal\":{\"name\":\"Forensic science international\",\"volume\":\"377 \",\"pages\":\"Article 112658\"},\"PeriodicalIF\":2.5000,\"publicationDate\":\"2025-09-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Forensic science international\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0379073825003020\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"MEDICINE, LEGAL\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Forensic science international","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0379073825003020","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MEDICINE, LEGAL","Score":null,"Total":0}
引用次数: 0

摘要

本文介绍了一种综合测量不确定度和实验室间差异报告血液酒精浓度(BAC)的动态框架。这种方法被认为是必要的,以确保在法律范围内使用分析结果时更加一致的决策规则。虽然这些规则是在意大利的背景下制定的,但它们也适用于其他国家。该框架包括由实验室性能的可变性和方法的不确定性引起的关键挑战。自2017年以来,通过涉及多达50个实验室的国家实验室间能力计划收集数据。采用稳健的统计方法来确定共识值和组合不确定性。符合纳入标准的实验室根据保护带(GB)分布的四分位数划分为四个绩效等级(Q1-Q4)。GB值用于设置标准化决策限值,确保所有实验室的最大假阳性风险保持在5% %以内。结果突出了显著的性能差异,GB值变化很大,导致分散的决策限制。通过将实验室聚类到四分位数组中,该框架减少了碎片化并协调了评估,同时保持了透明的、基于性能的分类。此外,有针对性的培训计划和不确定度和国标值的定期重新校准促进了持续改进,使实验室能够随着绩效的提高而提升到更高的层次。这种方法提高了BAC评估的总体可靠性、准确性和公平性,并为法医实验室统一报告结果提供了一种科学严谨的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Establishing national decision rules for forensic blood alcohol analysis in Italy: A dynamic framework incorporating measurement uncertainty and interlaboratory performance
This article introduces a dynamic framework for reporting blood alcohol concentration (BAC) by integrating measurement uncertainty and interlaboratory variation. This approach is considered necessary to ensure more consistent decision-making rules when analytical results are used in a legal context. Although these rules have been developed within the Italian context, they are adaptable to other countries as well. Included in the framework are critical challenges stemming from variability in laboratory performance and method uncertainty. Data were collected through a national interlaboratory proficiency program involving up to 50 laboratories since 2017. Robust statistical methods were applied to determine consensus values and combined uncertainties. Laboratories meeting inclusion criteria were classified into four performance tiers (Q1-Q4) based on the quartiles of the guard band (GB) distribution, derived from their own uncertainty values. GB values were used to set standardized decision limits, ensuring that the maximum false positive risk remains within 5 % across all laboratories. Results highlight significant performance discrepancies, with GB values varying widely and leading to fragmented decision limits. By clustering laboratories into quartile groups, the framework reduces fragmentation and harmonizes assessments while at the same time maintaining a transparent, performance-based classification. Additionally, targeted training programs and periodic recalibration of uncertainty and GB values promote continuous improvement and enable laboratories to advance to higher tiers as their performance improves. This approach enhances overall reliability, accuracy, and fairness of BAC assessments, and provides a scientifically rigorous approach to uniform reporting results from forensic laboratories.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Forensic science international
Forensic science international 医学-医学:法
CiteScore
5.00
自引率
9.10%
发文量
285
审稿时长
49 days
期刊介绍: Forensic Science International is the flagship journal in the prestigious Forensic Science International family, publishing the most innovative, cutting-edge, and influential contributions across the forensic sciences. Fields include: forensic pathology and histochemistry, chemistry, biochemistry and toxicology, biology, serology, odontology, psychiatry, anthropology, digital forensics, the physical sciences, firearms, and document examination, as well as investigations of value to public health in its broadest sense, and the important marginal area where science and medicine interact with the law. The journal publishes: Case Reports Commentaries Letters to the Editor Original Research Papers (Regular Papers) Rapid Communications Review Articles Technical Notes.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信