{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,15]],"date-time":"2026-10-15T20:48:34Z","timestamp":1792097314695,"version":"4.4.0"},"reference-count":24,"publisher":"Wiley","issue":"7","license":[{"start":{"date-parts":[[2023,4,16]],"date-time":"2023-04-16T00:00:00Z","timestamp":1681603200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"funder":[{"DOI":"10.13039\/100004339","name":"Sanofi","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100004339","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["dom-pubs.onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Diabetes Obesity Metabolism"],"published-print":{"date-parts":[[2023,7]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Aim<\/jats:title>\n                    <jats:p>To identify predictive factors for diabetic ketoacidosis (DKA) by retrospective analysis of registry data and the use of a subgroup discovery algorithm.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and Methods<\/jats:title>\n                    <jats:p>Data from adults and children with type 1 diabetes and more than two diabetes\u2010related visits were analysed from the Diabetes Prospective Follow\u2010up Registry. Q\u2010Finder, a supervised non\u2010parametric proprietary subgroup discovery algorithm, was used to identify subgroups with clinical characteristics associated with increased DKA risk. DKA was defined as pH\u2009less than 7.3 during a hospitalization event.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>Data for 108\u2009223 adults and children, of whom 5609 (5.2%) had DKA, were studied. Q\u2010Finder analysis identified 11 profiles associated with an increased risk of DKA: low body mass index standard deviation score; DKA at diagnosis; age 6\u201010\u2009years; age 11\u201015\u2009years; an HbA1c\u00a0of 8.87% or higher (\u2265\u200973\u2009mmol\/mol); no fast\u2010acting insulin intake; age\u2009younger than\u200915\u2009years and not using a continuous glucose monitoring system; physician diagnosis of nephrotic kidney disease; severe hypoglycaemia; hypoglycaemic coma; and autoimmune thyroiditis. Risk of DKA increased with the number of risk profiles matching patients\u2019 characteristics.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>Q\u2010Finder confirmed common risk profiles identified by conventional statistical methods and allowed the generation of new profiles that may help predict patients with type 1 diabetes who are at a greater risk of experiencing DKA.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/dom.15039","type":"journal-article","created":{"date-parts":[[2023,3,3]],"date-time":"2023-03-03T09:58:30Z","timestamp":1677837510000},"page":"1823-1829","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Identification of predictive factors of diabetic ketoacidosis in type 1 diabetes using a subgroup discovery algorithm"],"prefix":"10.1111","volume":"25","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-9006-9375","authenticated-orcid":false,"given":"Angela","family":"Ibald\u2010Mulli","sequence":"first","affiliation":[{"name":"Real World Evidence and Clinical Outcome Generation, Sanofi  Paris France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5654-7310","authenticated-orcid":false,"given":"Jochen","family":"Seufert","sequence":"additional","affiliation":[{"name":"Division of Endocrinology and Diabetology, Department of Medicine II, Medical Center \u2013 University of Freiburg, Faculty of Medicine University of Freiburg  Freiburg Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3627-1163","authenticated-orcid":false,"given":"Julia M.","family":"Grimsmann","sequence":"additional","affiliation":[{"name":"Institute of Epidemiology and Medical Biometry, ZIBMT Ulm University  Ulm Germany"},{"name":"German Centre for Diabetes Research (DZD)  M\u00fcnchen\u2010Neuherberg Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Markus","family":"Laimer","sequence":"additional","affiliation":[{"name":"Department of Diabetes, Endocrinology, Nutritional Medicine and Metabolism, Inselspital, Bern University Hospital University of Bern  Bern Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4970-2110","authenticated-orcid":false,"given":"Peter","family":"Bramlage","sequence":"additional","affiliation":[{"name":"Institute for Pharmacology and Preventive Medicine  Cloppenburg Germany"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexandre","family":"Civet","sequence":"additional","affiliation":[{"name":"Quinten  Paris France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Margot","family":"Blanchon","sequence":"additional","affiliation":[{"name":"Quinten  Paris France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Simon","family":"Gosset","sequence":"additional","affiliation":[{"name":"Quinten  Paris France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Alexandre","family":"Templier","sequence":"additional","affiliation":[{"name":"Quinten  Paris France"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"W. 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