捕捉胆固醇的罪魁祸首:基于机器学习算法(mla)的方法检测未诊断的家族性高胆固醇血症(fh)

IF 5.9 Q1 CARDIAC & CARDIOVASCULAR SYSTEMS
David Kulp MSc , Benjamin Furman MPH (co-first author) , Kain Kim BA , Shivani Lam BS , Shoshana Bardach PhD , Laurence Sperling MD , Danny Eapen MD
{"title":"捕捉胆固醇的罪魁祸首:基于机器学习算法(mla)的方法检测未诊断的家族性高胆固醇血症(fh)","authors":"David Kulp MSc ,&nbsp;Benjamin Furman MPH (co-first author) ,&nbsp;Kain Kim BA ,&nbsp;Shivani Lam BS ,&nbsp;Shoshana Bardach PhD ,&nbsp;Laurence Sperling MD ,&nbsp;Danny Eapen MD","doi":"10.1016/j.ajpc.2025.101180","DOIUrl":null,"url":null,"abstract":"<div><h3>Therapeutic Area</h3><div>ASCVD /CVD Risk Reduction</div></div><div><h3>Background</h3><div>FH is a genetic disorder marked by elevated LDL-C and risk for premature ASCVD. Most patients remain undiagnosed. MLAs offer scalable approaches for identifying high-risk individuals using electronic health record data. The Flag-Identify-Network-Deliver™ Initiative (FIND-FH®) uses an MLA from the Family Heart Foundation to flag potential cases, followed by chart review and patient outreach. This study evaluates the impact of MLA-driven identification on FH diagnosis and management.</div></div><div><h3>Methods</h3><div>Patients flagged by the FIND-FH® MLA from January 2017-June 2022 at a single academic medical center (n=471) were reviewed. After excluding individuals with known FH, those with LDL-C &gt;190mg/dL and family history of ASCVD were deemed “likely FH” (n=115). In August 2024, patients were contacted via MyChart messages and phone calls recommending FH evaluation; primary care physicians (PCP) were also notified. The primary outcome was new documentation of FH post-contact; secondary outcomes included response rates, changes in lipid-lowering therapy, and specialty of managing clinician, tracked via chart review.</div></div><div><h3>Results</h3><div>Of 115 identified patients, 113 were contacted; 2 had died. Forty-one (36.3%) patients responded; 43 (38.1%) viewed messages. PCP response rate was 53.2%. Seventeen (15%) patients received a new diagnosis of FH post-contact; 2 (1.8%) had a family history of FH. Post-outreach, 16 (14.2%) had new notes discussing FH, and 22 (19.5%) had changes (escalation or reduction) to lipid-lowering therapy, 6 were newly diagnosed with FH. Twenty-two (19.5%) remained untreated, 74 (65.5%) on 1 therapy, 14 (12.4%) on 2, and 3 (2.7%) on 3; most (78.8%) were on statins. Lipids were managed by PCPs (48.7%), university-based cardiologists (38.1%), outside/community cardiologists (6.2%), or others (7.1%). Patients with a new diagnosis of FH, clinical notes discussing FH, or changes to lipid-lowering therapy were deemed as having “action taken.” Mean LDL-C among patients with action taken (n=39) was 130.5mg/dL compared to 108.1mg/dL for patients without (n=69, p=0.047). Lp(a) testing occurred in 11.5%; CAC scoring in 17.7%.</div></div><div><h3>Conclusions</h3><div>MLA-driven outreach led to new FH documentation and enhanced care coordination for previously undiagnosed individuals. Results suggest that MLA-enhanced case finding may help address gaps in FH diagnosis and management. Future efforts include optimizing outreach and embedding realtime MLA tools into clinical workflows.</div></div>","PeriodicalId":72173,"journal":{"name":"American journal of preventive cardiology","volume":"23 ","pages":"Article 101180"},"PeriodicalIF":5.9000,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"CATCHING CHOLESTEROL CULPRITS: MACHINE-LEARNING ALGORITHM (MLA)-BASED APPROACH TO DETECTION OF UNDIAGNOSED FAMILIAL HYPERCHOLESTEROLEMIA (FH)\",\"authors\":\"David Kulp MSc ,&nbsp;Benjamin Furman MPH (co-first author) ,&nbsp;Kain Kim BA ,&nbsp;Shivani Lam BS ,&nbsp;Shoshana Bardach PhD ,&nbsp;Laurence Sperling MD ,&nbsp;Danny Eapen MD\",\"doi\":\"10.1016/j.ajpc.2025.101180\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Therapeutic Area</h3><div>ASCVD /CVD Risk Reduction</div></div><div><h3>Background</h3><div>FH is a genetic disorder marked by elevated LDL-C and risk for premature ASCVD. Most patients remain undiagnosed. MLAs offer scalable approaches for identifying high-risk individuals using electronic health record data. The Flag-Identify-Network-Deliver™ Initiative (FIND-FH®) uses an MLA from the Family Heart Foundation to flag potential cases, followed by chart review and patient outreach. This study evaluates the impact of MLA-driven identification on FH diagnosis and management.</div></div><div><h3>Methods</h3><div>Patients flagged by the FIND-FH® MLA from January 2017-June 2022 at a single academic medical center (n=471) were reviewed. After excluding individuals with known FH, those with LDL-C &gt;190mg/dL and family history of ASCVD were deemed “likely FH” (n=115). In August 2024, patients were contacted via MyChart messages and phone calls recommending FH evaluation; primary care physicians (PCP) were also notified. The primary outcome was new documentation of FH post-contact; secondary outcomes included response rates, changes in lipid-lowering therapy, and specialty of managing clinician, tracked via chart review.</div></div><div><h3>Results</h3><div>Of 115 identified patients, 113 were contacted; 2 had died. Forty-one (36.3%) patients responded; 43 (38.1%) viewed messages. PCP response rate was 53.2%. Seventeen (15%) patients received a new diagnosis of FH post-contact; 2 (1.8%) had a family history of FH. Post-outreach, 16 (14.2%) had new notes discussing FH, and 22 (19.5%) had changes (escalation or reduction) to lipid-lowering therapy, 6 were newly diagnosed with FH. Twenty-two (19.5%) remained untreated, 74 (65.5%) on 1 therapy, 14 (12.4%) on 2, and 3 (2.7%) on 3; most (78.8%) were on statins. Lipids were managed by PCPs (48.7%), university-based cardiologists (38.1%), outside/community cardiologists (6.2%), or others (7.1%). Patients with a new diagnosis of FH, clinical notes discussing FH, or changes to lipid-lowering therapy were deemed as having “action taken.” Mean LDL-C among patients with action taken (n=39) was 130.5mg/dL compared to 108.1mg/dL for patients without (n=69, p=0.047). Lp(a) testing occurred in 11.5%; CAC scoring in 17.7%.</div></div><div><h3>Conclusions</h3><div>MLA-driven outreach led to new FH documentation and enhanced care coordination for previously undiagnosed individuals. Results suggest that MLA-enhanced case finding may help address gaps in FH diagnosis and management. Future efforts include optimizing outreach and embedding realtime MLA tools into clinical workflows.</div></div>\",\"PeriodicalId\":72173,\"journal\":{\"name\":\"American journal of preventive cardiology\",\"volume\":\"23 \",\"pages\":\"Article 101180\"},\"PeriodicalIF\":5.9000,\"publicationDate\":\"2025-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"American journal of preventive cardiology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666667725002557\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CARDIAC & CARDIOVASCULAR SYSTEMS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"American journal of preventive cardiology","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666667725002557","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
引用次数: 0

摘要

治疗领域ASCVD /CVD风险降低背景fh是一种以LDL-C升高和早发ASCVD风险为特征的遗传性疾病。大多数患者仍未得到诊断。mla为使用电子健康记录数据识别高风险个人提供了可扩展的方法。flag - identify - network - deliver™Initiative (FIND-FH®)使用家庭心脏基金会的MLA来标记潜在病例,然后进行图表审查和患者外展。本研究评估了mla驱动的识别对FH诊断和管理的影响。方法回顾2017年1月至2022年6月在单一学术医疗中心(n=471)被FIND-FH®MLA标记的患者。排除已知FH的个体后,LDL-C为190mg/dL且有ASCVD家族史的患者被认为“可能为FH”(n=115)。2024年8月,通过MyChart消息和电话联系患者,建议进行FH评估;还通知了初级保健医生(PCP)。主要结果是接触后新记录的传播感染;次要结局包括反应率、降脂治疗的变化和管理临床医生的专业,通过图表回顾进行跟踪。结果115例确诊患者中,联系了113例;2人死了。41例(36.3%)患者有反应;43人(38.1%)查看消息。PCP有效率为53.2%。17例(15%)患者在接触后被新诊断为FH;2例(1.8%)有FH家族史。外展后,16例(14.2%)有新的记录讨论FH, 22例(19.5%)对降脂治疗有改变(升级或减少),6例新诊断为FH。22人(19.5%)未接受治疗,74人(65.5%)接受1种治疗,14人(12.4%)接受2种治疗,3人(2.7%)接受3种治疗;大多数(78.8%)服用他汀类药物。脂质由pcp(48.7%)、大学心脏病专家(38.1%)、外部/社区心脏病专家(6.2%)或其他(7.1%)管理。新诊断为FH的患者、讨论FH的临床记录或改变降脂治疗被视为“已采取行动”。接受治疗的患者(n=39)的平均LDL-C为130.5mg/dL,而未接受治疗的患者为108.1mg/dL (n=69, p=0.047)。Lp(a)检测占11.5%;CAC评分为17.7%。smla驱动的外展导致了新的FH文件,并加强了对以前未确诊个体的护理协调。结果表明,mla增强的病例发现可能有助于解决FH诊断和管理方面的差距。未来的努力包括优化外展和嵌入实时MLA工具到临床工作流程。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CATCHING CHOLESTEROL CULPRITS: MACHINE-LEARNING ALGORITHM (MLA)-BASED APPROACH TO DETECTION OF UNDIAGNOSED FAMILIAL HYPERCHOLESTEROLEMIA (FH)

Therapeutic Area

ASCVD /CVD Risk Reduction

Background

FH is a genetic disorder marked by elevated LDL-C and risk for premature ASCVD. Most patients remain undiagnosed. MLAs offer scalable approaches for identifying high-risk individuals using electronic health record data. The Flag-Identify-Network-Deliver™ Initiative (FIND-FH®) uses an MLA from the Family Heart Foundation to flag potential cases, followed by chart review and patient outreach. This study evaluates the impact of MLA-driven identification on FH diagnosis and management.

Methods

Patients flagged by the FIND-FH® MLA from January 2017-June 2022 at a single academic medical center (n=471) were reviewed. After excluding individuals with known FH, those with LDL-C >190mg/dL and family history of ASCVD were deemed “likely FH” (n=115). In August 2024, patients were contacted via MyChart messages and phone calls recommending FH evaluation; primary care physicians (PCP) were also notified. The primary outcome was new documentation of FH post-contact; secondary outcomes included response rates, changes in lipid-lowering therapy, and specialty of managing clinician, tracked via chart review.

Results

Of 115 identified patients, 113 were contacted; 2 had died. Forty-one (36.3%) patients responded; 43 (38.1%) viewed messages. PCP response rate was 53.2%. Seventeen (15%) patients received a new diagnosis of FH post-contact; 2 (1.8%) had a family history of FH. Post-outreach, 16 (14.2%) had new notes discussing FH, and 22 (19.5%) had changes (escalation or reduction) to lipid-lowering therapy, 6 were newly diagnosed with FH. Twenty-two (19.5%) remained untreated, 74 (65.5%) on 1 therapy, 14 (12.4%) on 2, and 3 (2.7%) on 3; most (78.8%) were on statins. Lipids were managed by PCPs (48.7%), university-based cardiologists (38.1%), outside/community cardiologists (6.2%), or others (7.1%). Patients with a new diagnosis of FH, clinical notes discussing FH, or changes to lipid-lowering therapy were deemed as having “action taken.” Mean LDL-C among patients with action taken (n=39) was 130.5mg/dL compared to 108.1mg/dL for patients without (n=69, p=0.047). Lp(a) testing occurred in 11.5%; CAC scoring in 17.7%.

Conclusions

MLA-driven outreach led to new FH documentation and enhanced care coordination for previously undiagnosed individuals. Results suggest that MLA-enhanced case finding may help address gaps in FH diagnosis and management. Future efforts include optimizing outreach and embedding realtime MLA tools into clinical workflows.
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
American journal of preventive cardiology
American journal of preventive cardiology Cardiology and Cardiovascular Medicine
CiteScore
6.60
自引率
0.00%
发文量
0
审稿时长
76 days
×
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