{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,28]],"date-time":"2026-10-28T19:35:20Z","timestamp":1793216120008,"version":"4.5.0"},"reference-count":23,"publisher":"Elsevier BV","issue":"10","license":[{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,10,1]],"date-time":"2026-10-01T00:00:00Z","timestamp":1790812800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,7,16]],"date-time":"2026-07-16T00:00:00Z","timestamp":1784160000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"content-domain":{"domain":["clinicalkey.com","clinicalkey.com.au","clinicalkey.es","clinicalkey.fr","clinicalkey.jp","jacc.org","elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["JACC: Advances"],"published-print":{"date-parts":[[2026,10]]},"DOI":"10.1016\/j.jacadv.2026.103114","type":"journal-article","created":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T20:02:34Z","timestamp":1788984154000},"page":"103114","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"P2","title":["FIND Lp(a) Machine Learning Model"],"prefix":"10.1016","volume":"5","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-7332-4185","authenticated-orcid":false,"given":"Diane E.","family":"MacDougall","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Spencer R.","family":"Bertsch","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Barbara","family":"Gladders","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Vikrant S.","family":"Vaze","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Seth S.","family":"Martin","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Sai S.","family":"Kodukula","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Laurence S.","family":"Sperling","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5190-3467","authenticated-orcid":false,"given":"Abha","family":"Khandelwal","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Joshua W.","family":"Knowles","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Julie M.","family":"Clary","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ghada A.","family":"Mohamed","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Kristen A.","family":"Harris","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ijeoma","family":"Isiadinso","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shoshana H.","family":"Bardach","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Scott H.","family":"Merryman","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shone","family":"Almeida","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ashley A.","family":"Waring","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Benjamin M.","family":"Helm","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3213-0876","authenticated-orcid":false,"given":"Alexander C.","family":"Razavi","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mark A.","family":"Liotta","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Katherine","family":"Wilemon","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"issue":"10459","key":"10.1016\/j.jacadv.2026.103114_bib1","doi-asserted-by":"crossref","first-page":"1255","DOI":"10.1016\/S0140-6736(24)01308-4","article-title":"Lipoprotein(a) and cardiovascular disease","volume":"404","author":"Nordestgaard","year":"2024","journal-title":"Lancet"},{"key":"10.1016\/j.jacadv.2026.103114_bib2","doi-asserted-by":"crossref","first-page":"e308","DOI":"10.1016\/j.jacl.2024.03.001","article-title":"A focused update to the 2019 NLA scientific statement on use of lipoprotein(a) in clinical practice","volume":"18","author":"Koschinsky","year":"2024","journal-title":"J Clin Lipidol"},{"key":"10.1016\/j.jacadv.2026.103114_bib3","doi-asserted-by":"crossref","first-page":"e48","DOI":"10.1161\/ATV.0000000000000147","article-title":"Lipoprotein(a): a genetically determined, causal, and prevalent risk factor for atherosclerotic cardiovascular disease. A scientific statement from the American Heart Association","volume":"42","author":"Reyes-Soffer","year":"2022","journal-title":"Arterioscler Thromb Vasc Biol"},{"key":"10.1016\/j.jacadv.2026.103114_bib4","doi-asserted-by":"crossref","first-page":"3925","DOI":"10.1093\/eurheartj\/ehac361","article-title":"Lipoprotein(a) in atherosclerotic cardiovascular disease and aortic stenosis: a European Atherosclerosis Society consensus statement","volume":"43","author":"Kronenberg","year":"2022","journal-title":"Eur Heart J"},{"issue":"19","key":"10.1016\/j.jacadv.2026.103114_bib5","doi-asserted-by":"crossref","first-page":"2624","DOI":"10.1016\/j.jacc.2025.11.016","article-title":"2026 ACC\/AHA\/AACVPR\/ABC\/ACPM\/ADA\/AGS\/APhA\/ASPC\/NLA\/PCNA Guideline on the management of dyslipidemia. A report of the American College of Cardiology\/American Heart Association Joint Committee on clinical practice Guidelines","volume":"87","author":"Blumenthal","year":"2026","journal-title":"J Am Coll Cardiol"},{"issue":"8","key":"10.1016\/j.jacadv.2026.103114_bib6","first-page":"1129","article-title":"2021 Canadian Cardiovascular Society Guidelines for the management of dyslipidemia for the prevention of cardiovascular disease in adults","volume":"37","author":"Pearson","year":"2021","journal-title":"Can J Cardiol"},{"issue":"6 Pt 1","key":"10.1016\/j.jacadv.2026.103114_bib7","article-title":"Prevalence and correlates of Lipoprotein(a) testing in a diverse cohort of U.S. adults","volume":"4","author":"Razavi","year":"2025","journal-title":"JACC: Adv"},{"key":"10.1016\/j.jacadv.2026.103114_bib8","series-title":"European Atherosclerosis Society Conference","article-title":"Prevalence and associated determinants of lipoprotein(a) testing in a contemporary cohort of US adults from the Family heart database","author":"MacDougall","year":"2026"},{"key":"10.1016\/j.jacadv.2026.103114_bib9","article-title":"Novel strategies to FIND people living with genetic dyslipidemias: the family heart foundation flag, identify, network, and deliver (FIND) familial hypercholesterolemia collaborative learning network","volume":"23","author":"Bardach","year":"2025","journal-title":"Am J Prev Cardiol"},{"issue":"16","key":"10.1016\/j.jacadv.2026.103114_bib10","doi-asserted-by":"crossref","first-page":"1333","DOI":"10.1001\/jama.2023.4387","article-title":"It takes an average of 17 years for evidence to change Practice\u2014The burgeoning field of implementation science seeks to speed things up","volume":"329","author":"Rubin","year":"2023","journal-title":"JAMA"},{"key":"10.1016\/j.jacadv.2026.103114_bib11","article-title":"Accelerating evidence generation to implementation: establishment of the Leading Awareness to Action through Implementation of Cardiometabolic Efforts (LATTICE) consortium","volume":"24","author":"Jones","year":"2025","journal-title":"Am J Prev Cardiol"},{"issue":"1","key":"10.1016\/j.jacadv.2026.103114_bib12","doi-asserted-by":"crossref","first-page":"7","DOI":"10.1007\/s12170-025-00759-8","article-title":"Current clinical trials for treating elevated Lipoprotein(a)","volume":"19","author":"De Los Reyes","year":"2025","journal-title":"Curr Cardiovasc Risk Rep"},{"issue":"44","key":"10.1016\/j.jacadv.2026.103114_bib13","doi-asserted-by":"crossref","first-page":"4762","DOI":"10.1093\/eurheartj\/ehaf297","article-title":"Lipoprotein(a) and recurrent atherosclerotic cardiovascular events: the US Family Heart Database","volume":"46","author":"MacDougall","year":"2025","journal-title":"Eur Heart J"},{"key":"10.1016\/j.jacadv.2026.103114_bib14","series-title":"Proceedings of the 31st Conference on Neural Information Processing Systems (NIPS 2017, CA)","first-page":"3149","article-title":"LightGBM: a highly efficient gradient boosting decision tree","author":"Ke","year":"2017"},{"key":"10.1016\/j.jacadv.2026.103114_bib15","doi-asserted-by":"crossref","first-page":"590","DOI":"10.1038\/s42256-023-00657-x","article-title":"Algorithms to estimate Shapley value feature attributions","volume":"5","author":"Chen","year":"2023","journal-title":"Nature Machine Intelligence"},{"key":"10.1016\/j.jacadv.2026.103114_bib16","article-title":"Rationale for the routine screening of lipoprotein (a) in cardiovascular risk assessment","volume":"13","author":"Iatan","year":"2025","journal-title":"Eur J Prev Cardiol"},{"issue":"7","key":"10.1016\/j.jacadv.2026.103114_bib17","doi-asserted-by":"crossref","DOI":"10.1001\/jamanetworkopen.2024.21724","article-title":"Pediatric lipid screening prevalence using nationwide electronic medical records","volume":"7","author":"Thompson-Paul","year":"2024","journal-title":"JAMA Netw Open"},{"key":"10.1016\/j.jacadv.2026.103114_bib18","doi-asserted-by":"crossref","first-page":"61","DOI":"10.1016\/j.jelectrocard.2022.11.001","article-title":"An ECG-based machine learning model for predicting new-onset atrial fibrillation is superior to age and clinical features in identifying patients at high stroke risk","volume":"76","author":"Raghunath","year":"2023","journal-title":"J Electrocardiol"},{"issue":"4","key":"10.1016\/j.jacadv.2026.103114_bib19","doi-asserted-by":"crossref","first-page":"776","DOI":"10.1016\/j.jvs.2023.12.009","article-title":"Development and validation of a machine-learning prediction model to improve abdominal aortic aneurysm screening","volume":"79","author":"Salzler","year":"2024","journal-title":"J Vasc Surg"},{"issue":"8","key":"10.1016\/j.jacadv.2026.103114_bib20","doi-asserted-by":"crossref","first-page":"e393","DOI":"10.1016\/S2589-7500(19)30150-5","article-title":"Precision screening for familial hypercholesterolaemia: a machine learning study applied to electronic health encounter data","volume":"1","author":"Myers","year":"2019","journal-title":"Lancet Digit Health"},{"issue":"Suppl 4","key":"10.1016\/j.jacadv.2026.103114_bib21","article-title":"Predictive modeling of structured electronic health records for adverse drug event detection","volume":"15","author":"Zhao","year":"2015","journal-title":"BMC Med Inform Decis Mak"},{"issue":"5","key":"10.1016\/j.jacadv.2026.103114_bib22","doi-asserted-by":"crossref","first-page":"558","DOI":"10.1038\/s44161-024-00469-1","article-title":"Development and multinational validation of an algorithmic strategy for high Lp(a) screening","volume":"3","author":"Aminorroaya","year":"2024","journal-title":"Nat Cardiovasc Res"},{"issue":"1","key":"10.1016\/j.jacadv.2026.103114_bib23","doi-asserted-by":"crossref","DOI":"10.1161\/CIRCGEN.124.004632","article-title":"Evaluation of a machine learning-guided strategy for Elevated Lipoprotein(a) screening in health systems","volume":"18","author":"Aminorroaya","year":"2025","journal-title":"Circ Genom Precis Med"}],"container-title":["JACC: Advances"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2772963X26005351?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S2772963X26005351?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,10,28]],"date-time":"2026-10-28T19:24:22Z","timestamp":1793215462000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S2772963X26005351"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,10]]},"references-count":23,"journal-issue":{"issue":"10","published-print":{"date-parts":[[2026,10]]}},"alternative-id":["S2772963X26005351"],"URL":"https:\/\/doi.org\/10.1016\/j.jacadv.2026.103114","relation":{},"ISSN":["2772-963X"],"issn-type":[{"value":"2772-963X","type":"print"}],"subject":[],"published":{"date-parts":[[2026,10]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"FIND Lp(a) Machine Learning Model","name":"articletitle","label":"Article Title"},{"value":"JACC: Advances","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.jacadv.2026.103114","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 The Authors. Published by Elsevier on behalf of the American College of Cardiology Foundation.","name":"copyright","label":"Copyright"}],"article-number":"103114"}}