Population-Level Identification of Patients With Lynch Syndrome for Clinical Care, Quality Improvement, and Research.

IF 3.3 Q2 ONCOLOGY
Ravi N Sharaf, Natalia Udaltsova, Dan Li, Rish K Pai, Soham Sinha, Zixuan Li, Douglas A Corley
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Abstract

Purpose: Identification of those at risk of hereditary cancer syndromes using electronic health record (EHR) data sources is important for clinical care, quality improvement, and research. We describe diagnostic processes, previously seldom reported, for a common hereditary cancer syndrome, Lynch syndrome (LS), using EHR data within a community-based, multicenter, demographically diverse health system.

Methods: Within a retrospective cohort enrolled between 2015 and 2020 at Kaiser Permanente Northern California, we assessed electronic diagnostic domains for LS including (1) family history of LS-associated cancer; (2) personal history of LS-associated cancer; (3) LS screening via mismatch repair deficiency (MMRD) testing of newly diagnosed malignancy; (4) germline genetic test results; and (5) clinician-entered diagnostic codes for LS. We calculated proportions and overlap for each diagnostic domain descriptively.

Results: Among 5.8 million individuals, (1) 28,492 (0.49%) had a family history of LS-associated cancer of whom 3,635 (13%) underwent genetic testing; (2) 100,046 (1.7%) had a personal history of a LS-associated cancer; and (3) 8,711 (0.1%) were diagnosed with colorectal cancer of whom 7,533 (86%) underwent MMRD screening and of the positive screens (486), 130 (27%) underwent germline testing. One thousand seven hundred and fifty-seven (0.03%) were diagnosed with endometrial cancer of whom 1,613 (92%) underwent MMRD screening and of the 195 who screened positive, 55 (28%) underwent genetic testing. (4) 30,790 (0.05%) had LS germline genetic testing with 707 (0.01%) testing positive; and (5) 1,273 (0.02%) had a clinician-entered diagnosis of LS.

Conclusion: It is feasible to electronically characterize the diagnostic processes of LS. No single data source comprehensively identifies all LS carriers. There is underutilization of LS genetic testing for those eligible and underdiagnosis of LS. Our work informs similar efforts in other settings for hereditary cancer syndromes.

为临床护理、质量改进和研究而进行的林奇综合征患者人群识别。
目的:利用电子健康记录(EHR)数据源识别遗传性癌症综合征高危人群对于临床护理、质量改进和研究非常重要。我们描述了一种常见的遗传性癌症综合征--林奇综合征(Lynch syndrome,LS)的诊断过程,该诊断过程以前很少报道,我们是在一个基于社区、多中心、人口统计学多样化的医疗系统中使用电子病历数据进行诊断的:在北加州凯泽医疗集团(Kaiser Permanente Northern California)2015 年至 2020 年间登记的回顾性队列中,我们评估了林奇综合征的电子诊断域,包括:(1)林奇综合征相关癌症的家族史;(2)林奇综合征相关癌症的个人史;(3)通过新诊断恶性肿瘤的错配修复缺陷(MMRD)检测进行的林奇综合征筛查;(4)种系遗传检测结果;以及(5)临床医生输入的林奇综合征诊断代码。我们对每个诊断领域的比例和重叠情况进行了描述性计算:在 580 万人中,(1) 28,492 人(0.49%)有 LS 相关癌症家族史,其中 3,635 人(13%)接受了基因检测;(2) 100,046 人(1.7%)有 LS 相关癌症个人史;(3) 8,711 人(0.1%)被诊断出患有结直肠癌,其中 7533 人(86%)接受了 MMRD 筛查,在阳性筛查结果(486 人)中,130 人(27%)接受了种系检测。有 1757 人(0.03%)被确诊为子宫内膜癌,其中 1613 人(92%)接受了 MMRD 筛查,在筛查结果呈阳性的 195 人中,55 人(28%)接受了基因检测。(4) 30790人(0.05%)进行了LS种系基因检测,其中707人(0.01%)检测结果呈阳性;(5) 1273人(0.02%)经临床医生诊断为LS:结论:以电子方式描述LS的诊断过程是可行的。没有一个数据源能全面识别所有 LS 携带者。对于符合条件的人来说,LS基因检测的利用率不足,LS的诊断率也不足。我们的工作为其他环境下的遗传性癌症综合征类似工作提供了参考。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
6.20
自引率
4.80%
发文量
190
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