{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,18]],"date-time":"2026-08-18T01:53:56Z","timestamp":1787018036051,"version":"build-2736575974"},"reference-count":36,"publisher":"Ovid Technologies (Wolters Kluwer Health)","issue":"10","content-domain":{"domain":["www.ahajournals.org"],"crossmark-restriction":true},"short-container-title":["Circ: Heart Failure"],"published-print":{"date-parts":[[2024,10]]},"abstract":"<jats:sec>\n                    <jats:title>BACKGROUND:<\/jats:title>\n                    <jats:p>Despite a shortage of potential donors for heart transplant in the United States, most potential donor hearts are discarded. We evaluated predictors of donor heart acceptance in the United States and applied machine learning methods to improve prediction.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>METHODS:<\/jats:title>\n                    <jats:p>We included a nationwide (2005\u20132020) cohort of potential heart donors in the United States (n=73\u2005948) from the Scientific Registry of Transplant Recipients and a more recent (2015\u20132020) rigorously phenotyped cohort of potential donors from DHS (Donor Heart Study; n=4130). We identified predictors of acceptance for heart transplant in both cohorts using multivariate logistic regression, incorporating time-interaction terms to characterize their varying effects over time. We fit models predicting acceptance for transplant in a 50% training subset of DHS using logistic regression, least absolute shrinkage and selection operator, and random forest algorithms and compared their performance in the remaining 50% (test) of the subset.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>RESULTS:<\/jats:title>\n                    <jats:p>\n                      Predictors of donor heart acceptance were similar in the nationwide and DHS cohorts. Among these, older age (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      value for time interaction, 0.0001) has become increasingly predictive of discard over time while other factors, including those related to drug use, infection, and mild cardiac diagnostic abnormalities, have become less influential (\n                      <jats:italic toggle=\"yes\">P<\/jats:italic>\n                      value for time interaction, &lt;0.05 for all). A random forest model (area under the curve, 0.908; accuracy, 0.831) outperformed other prediction algorithms in the test subset and was used as the basis of a novel web-based prediction tool.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>CONCLUSIONS:<\/jats:title>\n                    <jats:p>Predictors of donor heart acceptance for transplantation have changed significantly over the last 2 decades, likely reflecting evolving evidence regarding their impact on posttransplant outcomes. Real-time prediction of donor heart acceptance, using our web-based tool, may improve efficiency during donor management and heart allocation.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1161\/circheartfailure.123.011360","type":"journal-article","created":{"date-parts":[[2024,9,23]],"date-time":"2024-09-23T05:00:32Z","timestamp":1727067632000},"update-policy":"https:\/\/doi.org\/10.1161\/crossmarkpolicy","source":"Crossref","is-referenced-by-count":12,"title":["Prediction of Donor Heart Acceptance for Transplant and Its Clinical Implications: Results From The Donor Heart Study"],"prefix":"10.1161","volume":"17","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7005-9938","authenticated-orcid":true,"given":"Brian","family":"Wayda","sequence":"first","affiliation":[{"name":"Division of Cardiology, Department of Medicine, New York University Grossman School of Medicine (B.W., H.L.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yingjie","family":"Weng","sequence":"additional","affiliation":[{"name":"Quantitative Sciences Unit, Department of Medicine (Y.W., S.Z.), Stanford University School of Medicine, CA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8746-1931","authenticated-orcid":true,"given":"Shiqi","family":"Zhang","sequence":"additional","affiliation":[{"name":"Quantitative Sciences Unit, Department of Medicine (Y.W., S.Z.), Stanford University School of Medicine, CA."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9782-4449","authenticated-orcid":true,"given":"Helen","family":"Luikart","sequence":"additional","affiliation":[{"name":"Division of Cardiology, Department of Medicine, New York University Grossman School of Medicine (B.W., H.L.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8207-8041","authenticated-orcid":true,"given":"Thomas","family":"Pearson","sequence":"additional","affiliation":[{"name":"LifeLink Foundation, Norcross, GA (T.P.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0000-5906-7021","authenticated-orcid":true,"given":"Javier","family":"Nieto","sequence":"additional","affiliation":[{"name":"LifeGift Organ Procurement Organization, Houston, TX (J. Nieto)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Bruce","family":"Nicely","sequence":"additional","affiliation":[{"name":"Gift of Life Michigan, Ann Arbor (B.N.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"P.J.","family":"Geraghty","sequence":"additional","affiliation":[{"name":"Donor Network of Arizona, Tempe (P.J.G.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John","family":"Belcher","sequence":"additional","affiliation":[{"name":"New England Donor Services, Waltham, MA (J.B.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"John","family":"Nguyen","sequence":"additional","affiliation":[{"name":"Division of Transplant Surgery, Department of Surgery, University of California San Francisco (J. Nguyen)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3012-5077","authenticated-orcid":true,"given":"Nikole","family":"Neidlinger","sequence":"additional","affiliation":[{"name":"Department of Surgery, University of Wisconsin School of Medicine and Public Health, Madison (N.N.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8002-7742","authenticated-orcid":true,"given":"Tahnee","family":"Groat","sequence":"additional","affiliation":[{"name":"Department of Surgery, Division of Trauma, Critical Care, and Acute Care Surgery, Oregon Health and Science University, Portland (T.G., D.M.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-1880-1482","authenticated-orcid":true,"given":"Darren","family":"Malinoski","sequence":"additional","affiliation":[{"name":"Department of Surgery, Division of Trauma, Critical Care, and Acute Care Surgery, Oregon Health and Science University, Portland (T.G., D.M.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2513-0464","authenticated-orcid":true,"given":"Jonathan G.","family":"Zaroff","sequence":"additional","affiliation":[{"name":"Division of Research, Kaiser Permanente Northern California, Oakland (J.Z.)."}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9697-5926","authenticated-orcid":true,"given":"Kiran K.","family":"Khush","sequence":"additional","affiliation":[{"name":"Division of Cardiovascular Medicine, Department of Medicine (K.K.K.), Stanford University School of Medicine, CA."}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"276","reference":[{"key":"e_1_3_3_2_2","doi-asserted-by":"publisher","DOI":"10.1111\/ajt.16977"},{"key":"e_1_3_3_3_2","doi-asserted-by":"publisher","DOI":"10.1111\/ajt.13055"},{"key":"e_1_3_3_4_2","doi-asserted-by":"publisher","DOI":"10.1007\/s10741-014-9434-y"},{"key":"e_1_3_3_5_2","doi-asserted-by":"publisher","DOI":"10.1136\/heartjnl-2017-311435"},{"key":"e_1_3_3_6_2","doi-asserted-by":"publisher","DOI":"10.1007\/s11886-021-01631-y"},{"key":"e_1_3_3_7_2","doi-asserted-by":"publisher","DOI":"10.1016\/j.healun.2020.03.020"},{"key":"e_1_3_3_8_2","doi-asserted-by":"publisher","DOI":"10.1097\/MOT.0000000000000638"},{"key":"e_1_3_3_9_2","doi-asserted-by":"publisher","DOI":"10.1111\/ajt.17051"},{"key":"e_1_3_3_10_2","doi-asserted-by":"publisher","DOI":"10.1080\/10543406.2022.2030747"},{"key":"e_1_3_3_11_2","volume-title":"Statistical Power Analysis for the Behavioral Sciences","author":"Cohen J","year":"1988","unstructured":"Cohen J. 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