{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,5]],"date-time":"2026-11-05T02:13:26Z","timestamp":1793844806106,"version":"4.6.1"},"reference-count":21,"publisher":"SAGE Publications","license":[{"start":{"date-parts":[[2022,1,1]],"date-time":"2022-01-01T00:00:00Z","timestamp":1640995200000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/100004319","name":"Pfizer","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100004319","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Clin Med Insights Cardiol"],"published-print":{"date-parts":[[2022,1]]},"abstract":"<jats:sec>\n                    <jats:title>Background:<\/jats:title>\n                    <jats:p>Wild-type transthyretin amyloid cardiomyopathy (ATTR-CM) is a frequently under-recognized cause of heart failure (HF) in older patients. To improve identification of patients at risk for the disease, we initiated a pilot program in which 9 cardiac\/non-cardiac phenotypes and 20 high-performing phenotype combinations predictive of wild-type ATTR-CM were operationalized in electronic health record (EHR) configurations at a large academic medical center.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods:<\/jats:title>\n                    <jats:p>Inclusion criteria were age &gt;50\u2009years and HF; exclusion criteria were end-stage renal disease and prior amyloidosis diagnoses. The different Epic EHR configurations investigated were a clinical decision support tool (Best Practice Advisory) and operational\/analytical reports (Clarity\u2122, Reporting Workbench\u2122, and SlicerDicer); the different data sources employed were problem list, visit diagnosis, medical history, and billing transactions.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results:<\/jats:title>\n                    <jats:p>With Clarity, among 45\u2009051 patients with HF, 4006 patients (8.9%) had \u2a7e1 phenotype combination associated with increased risk of wild-type ATTR-CM. Across all data sources, 2 phenotypes (cardiomegaly; osteoarthrosis) and 2 combinations (carpal tunnel syndrome\u2009+\u2009HF; atrial fibrillation\u2009+\u2009heart block\u2009+\u2009cardiomegaly\u2009+\u2009osteoarthrosis) generated the highest proportions of patients for wild-type ATTR-CM screening.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion:<\/jats:title>\n                    <jats:p>All EHR configurations tested were capable of operationalizing phenotypes or phenotype combinations to identify at-risk patients; the Clarity report was the most comprehensive.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1177\/11795468221133608","type":"journal-article","created":{"date-parts":[[2022,11,14]],"date-time":"2022-11-14T03:44:29Z","timestamp":1668397469000},"update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":6,"title":["Implementing a Machine-Learning-Adapted Algorithm to Identify Possible Transthyretin Amyloid Cardiomyopathy at an Academic Medical Center"],"prefix":"10.1177","volume":"16","author":[{"given":"Joshua D","family":"Mitchell","sequence":"first","affiliation":[{"name":"Amyloid Center of Excellence, Division of Cardiology, Washington University School of Medicine, St. Louis, MO, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Daniel J","family":"Lenihan","sequence":"additional","affiliation":[{"name":"Amyloid Center of Excellence, Division of Cardiology, Washington University School of Medicine, St. Louis, MO, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8915-211X","authenticated-orcid":false,"given":"Casey","family":"Reed","sequence":"additional","affiliation":[{"name":"Pfizer Inc, New York, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ahsan","family":"Huda","sequence":"additional","affiliation":[{"name":"Pfizer Inc, New York, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8821-254X","authenticated-orcid":false,"given":"Kim","family":"Nolen","sequence":"additional","affiliation":[{"name":"Pfizer Inc, New York, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Marianna","family":"Bruno","sequence":"additional","affiliation":[{"name":"Pfizer Inc, New York, NY, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Thomas","family":"Kannampallil","sequence":"additional","affiliation":[{"name":"Institute for Informatics, Washington University School of Medicine, St. Louis, MO, USA"},{"name":"Department of Anesthesiology, Washington University School of Medicine, St. Louis, MO, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"179","published-online":{"date-parts":[[2022,11,14]]},"reference":[{"key":"bibr1-11795468221133608","doi-asserted-by":"publisher","DOI":"10.1038\/nrcardio.2010.67"},{"key":"bibr2-11795468221133608","doi-asserted-by":"publisher","DOI":"10.1007\/s00508-020-01781-z"},{"key":"bibr3-11795468221133608","doi-asserted-by":"publisher","DOI":"10.1002\/ehf2.13110"},{"key":"bibr4-11795468221133608","doi-asserted-by":"publisher","DOI":"10.1016\/j.jchf.2020.04.007"},{"key":"bibr5-11795468221133608","doi-asserted-by":"publisher","DOI":"10.1016\/j.jchf.2019.04.010"},{"key":"bibr6-11795468221133608","doi-asserted-by":"publisher","DOI":"10.1080\/13506129.2018.1498782"},{"key":"bibr7-11795468221133608","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa1805689"},{"key":"bibr8-11795468221133608","doi-asserted-by":"publisher","DOI":"10.1016\/j.jacc.2019.04.054"},{"key":"bibr9-11795468221133608","doi-asserted-by":"publisher","DOI":"10.1038\/s41467-021-22876-9"},{"key":"bibr10-11795468221133608","doi-asserted-by":"publisher","DOI":"10.1016\/j.cardfail.2020.09.114"},{"key":"bibr11-11795468221133608","volume-title":"Paper presented at: XVIIth International Symposium on Amyloidosis; September 14-18, 2020; Virtual event","author":"Huda A"},{"key":"bibr12-11795468221133608","doi-asserted-by":"publisher","DOI":"10.1093\/bioinformatics\/btq126"},{"key":"bibr13-11795468221133608","doi-asserted-by":"publisher","DOI":"10.1197\/jamia.M1809"},{"key":"bibr14-11795468221133608","doi-asserted-by":"publisher","DOI":"10.1136\/amiajnl-2013-001813"},{"key":"bibr15-11795468221133608","doi-asserted-by":"publisher","DOI":"10.1186\/s12875-020-01252-4"},{"key":"bibr16-11795468221133608","doi-asserted-by":"publisher","DOI":"10.1097\/MEG.0000000000002030"},{"key":"bibr17-11795468221133608","doi-asserted-by":"publisher","DOI":"10.1007\/s40119-020-00169-4"},{"key":"bibr18-11795468221133608","doi-asserted-by":"publisher","DOI":"10.1159\/000506919"},{"key":"bibr19-11795468221133608","doi-asserted-by":"publisher","DOI":"10.1002\/ehf2.12793"},{"key":"bibr20-11795468221133608","doi-asserted-by":"publisher","DOI":"10.1161\/CIRCULATIONAHA.116.021612"},{"key":"bibr21-11795468221133608","doi-asserted-by":"publisher","DOI":"10.1002\/ehf2.13738"}],"container-title":["Clinical Medicine Insights: Cardiology"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/11795468221133608","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.1177\/11795468221133608","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.1177\/11795468221133608","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,28]],"date-time":"2026-04-28T15:13:48Z","timestamp":1777389228000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.1177\/11795468221133608"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1]]},"references-count":21,"alternative-id":["10.1177\/11795468221133608"],"URL":"https:\/\/doi.org\/10.1177\/11795468221133608","relation":{},"ISSN":["1179-5468","1179-5468"],"issn-type":[{"value":"1179-5468","type":"print"},{"value":"1179-5468","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,1]]},"article-number":"11795468221133608"}}