基于电子健康记录的登记处,用于识别有遗传癌症综合征风险的个人。

IF 3.5 2区 医学 Q2 GENETICS & HEREDITY
Vinit Singh, Thomas E Rafter, Mohamad Sharbatji, Jing Liu, Quiana Brown, Karina Brierley, Claire Healy, Rosa M Xicola, Nitu M Kashyap, Xavier Llor
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引用次数: 0

摘要

背景:尽管有完善的基因检测标准来排除遗传性癌症综合征(hcs),但大多数致病变异(PV)携带者并未进行检测。因此,需要实现能够更好地识别和简化测试过程的机制。主要目的是开发一种与电子健康记录(EHR)集成的自我更新、指南驱动的工具,以前瞻性地识别有风险的个人,并促进外展和诊断。方法:国家综合癌症网络/美国医学遗传学学院基因检测标准从218条规则中转化为三个不同的基于规则的条件逻辑语句,这些规则依次评估个人标准的各个方面,这些规则一起卷成一个“风险”的逻辑语句。这些规则评估个人或家族病史,确定发病年龄,并对家庭关系进行分类。该工具应用于全系统的活跃患者注册表。结果:1 325 545例患者中,59 377例(4.48%)被确定为高危人群,构成了高危癌症遗传综合征识别(ARCAGEN-ID)登记。其中,只有12377例(20.9%)曾接受过评估,2506例有PV。ARCAGEN-ID适当纳入96.2%的病例。先前未评估的ARCAGEN-ID个体更常根据家族史标准被纳入(79.8%对49.3%),而较少是因为个人和家族史癌症(13%对41%)(结论:本研究首次使用基于ehr的注册表,根据所有主要HCS的现行标准自动和前瞻性地识别符合基因检测条件的个体。通过简化识别过程,这种方法有可能显著提高诊断率并改善癌症相关的生存率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Electronic health record-based registry for identification of individuals at risk for hereditary cancer syndromes.

Background: Despite well-established criteria for genetic testing to rule out hereditary cancer syndromes (HCSs), most pathogenic variant (PV) carriers are not being tested. Thus, mechanisms that allow for better identification and a streamlined process for testing need to be implemented. The main purpose was to develop a self-updating, guideline-driven tool integrated with the electronic health record (EHR) to prospectively identify at-risk individuals and facilitate outreach and diagnosis.

Methods: National Comprehensive Cancer Network/American College of Medical Genetics criteria for genetic testing were translated into three distinct rule-based conditional logic statements in the EHR from 218 rules that serially evaluate each aspect of individual criteria, which together roll up into a logic statement of 'at-risk'. The rules evaluate personal or family history, determine age at onset and categorise family relationships. This tool is applied to a system-wide registry of active patients.

Results: Out of 1 325 545 individuals, 59 377 (4.48%) were identified as at-risk and thus constitute the At-Risk Cancer Genetic Syndrome Identification (ARCAGEN-ID) registry. Of those, only 12 377 (20.9%) had previously been evaluated, and 2506 had a PV. ARCAGEN-ID appropriately included 96.2% of cases. ARCAGEN-ID individuals not previously evaluated were more often included based on family history criteria (79.8% vs 49.3%), and less often because of both personal and family history of cancer (13% vs 41%) (p<0.001).

Conclusions: This study is the first to use an EHR-based registry for the automatic and prospective identification of individuals eligible for genetic testing based on current criteria for all major HCS. By streamlining the identification process, this approach has the potential to dramatically increase diagnostic rates and improve cancer-related survival.

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来源期刊
Journal of Medical Genetics
Journal of Medical Genetics 医学-遗传学
CiteScore
7.60
自引率
2.50%
发文量
92
审稿时长
4-8 weeks
期刊介绍: Journal of Medical Genetics is a leading international peer-reviewed journal covering original research in human genetics, including reviews of and opinion on the latest developments. Articles cover the molecular basis of human disease including germline cancer genetics, clinical manifestations of genetic disorders, applications of molecular genetics to medical practice and the systematic evaluation of such applications worldwide.
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