{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,11,4]],"date-time":"2026-11-04T08:44:37Z","timestamp":1793781877278,"version":"4.6.1"},"reference-count":32,"publisher":"Oxford University Press (OUP)","issue":"8","license":[{"start":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T00:00:00Z","timestamp":1754006400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/academic.oup.com\/pages\/standard-publication-reuse-rights"}],"funder":[{"DOI":"10.13039\/501100005385","name":"Israeli Council for Higher Education","doi-asserted-by":"crossref","id":[{"id":"10.13039\/501100005385","id-type":"DOI","asserted-by":"crossref"}]},{"name":"Ben-Gurion University of the Negev, Israel"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2025,9,7]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:sec>\n                  <jats:title>Objectives<\/jats:title>\n                  <jats:p>In this nationwide study, we used the epi-Israeli Inflammatory Bowel Disease (IBD) Research Nucleus (IIRN) validated cohort to explore the utility of routine blood tests as markers predicting IBD occurrence years before diagnosis.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Methods<\/jats:title>\n                  <jats:p>We included all health maintenance organization (HMO)-insured IBD patients in Israel diagnosed during 2005\u20132020 to identify discriminative results of blood tests performed up to 15\u2009years before diagnosis. Each patient was individually matched to two non-IBD controls. Means were compared using Welch\u2019s t-test with false discovery rate correction to account for multiple comparisons. A machine-learning model was developed using the most significant blood tests to predict future Crohn\u2019s disease (CD).<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Results<\/jats:title>\n                  <jats:p>Pre-diagnosis results from 84 blood tests were collected for 8630 CD and 6791 ulcerative colitis (UC) patients, including 1162 children with CD and 580 with UC, and their matched controls. Among adults with CD, 29 tests differed consistently from controls earlier than 1\u2009year pre-diagnosis; three showed consistent differences more than 10\u2009years pre-diagnosis. For children, 17 tests differed consistently more than 1\u2009year pre-diagnosis. No tests significantly differed between UC cases and controls. The machine-learning model predicted CD in adults with an area under the curve (AUC) of 0.70 1\u2009year pre-diagnosis and 0.61 7\u2009years pre-diagnosis.<\/jats:p>\n               <\/jats:sec>\n               <jats:sec>\n                  <jats:title>Conclusion<\/jats:title>\n                  <jats:p>We were able to detect changes in routinely collected blood tests long before CD diagnosis and to predict future CD using a machine-learning model, which may be used for developing screening and prediction models for prevention strategies.<\/jats:p>\n               <\/jats:sec>","DOI":"10.1093\/ecco-jcc\/jjaf143","type":"journal-article","created":{"date-parts":[[2025,8,4]],"date-time":"2025-08-04T16:27:55Z","timestamp":1754324875000},"source":"Crossref","is-referenced-by-count":4,"title":["Machine learning for predicting Crohn\u2019s disease from routine blood tests years before diagnosis: results from the epi-IIRN cohort"],"prefix":"10.1093","volume":"19","author":[{"given":"Raffi","family":"Lev-Tzion","sequence":"first","affiliation":[{"name":"Juliet Keidan Institute of Pediatric Gastroenterology Hepatology and Nutrition, The Eisenberg R&D Authority, Shaare Zedek Medical Center , Jerusalem,","place":["Israel"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amir S","family":"Dolev","sequence":"additional","affiliation":[{"name":"Industrial Engineering and Management, Ben-Gurion University of the Negev , Beer-Sheva,","place":["Israel"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shira","family":"Yuval Bar-Asher","sequence":"additional","affiliation":[{"name":"Juliet Keidan Institute of Pediatric Gastroenterology Hepatology and Nutrition, Shaare Zedek Medical Center , Jerusalem,","place":["Israel"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ran","family":"Balicer","sequence":"additional","affiliation":[{"name":"Clalit Research Institute, Clalit Health Services , Ramat Gan,","place":["Israel"]},{"name":"Department of Epidemiology, Ben Gurion University , Beer-Sheva,","place":["Israel"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Amir","family":"Ben-Tov","sequence":"additional","affiliation":[{"name":"Kahn Sagol Maccabi Research and Innovation Center, Maccabi Healthcare Services, the Faculty of Medical and Health Sciences, Tel Aviv University , Tel-Aviv,","place":["Israel"]},{"name":"Dana-Dwek Children\u2019s Hospital , Tel-Aviv,","place":["Israel"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Galia","family":"Zacay","sequence":"additional","affiliation":[{"name":"Meuhedet Health Services , Tel-Aviv,","place":["Israel"]},{"name":"Faculty of Medical and Health Sciences, Tel Aviv University , Tel-Aviv,","place":["Israel"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eran","family":"Matz","sequence":"additional","affiliation":[{"name":"Leumit Health Services , Tel-Aviv,","place":["Israel"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Iris","family":"Dotan","sequence":"additional","affiliation":[{"name":"Division of Gastroenterology, Rabin Medical Center , Petah Tikva,","place":["Israel"]},{"name":"Faculty of Medical and Health Sciences, Tel Aviv University , Tel-Aviv,","place":["Israel"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Dan","family":"Turner","sequence":"additional","affiliation":[{"name":"Juliet Keidan Institute of Pediatric Gastroenterology Hepatology and Nutrition, The Eisenberg R&D Authority, Shaare Zedek Medical Center , Jerusalem,","place":["Israel"]},{"name":"Faculty of Medicine, The Hebrew University of Jerusalem ,","place":["Israel"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Boaz","family":"Lerner","sequence":"additional","affiliation":[{"name":"Industrial Engineering and Management, Ben-Gurion University of the Negev , 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