{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,14]],"date-time":"2026-10-14T11:58:21Z","timestamp":1791979101854,"version":"4.4.0"},"reference-count":34,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2025,1,20]],"date-time":"2025-01-20T00:00:00Z","timestamp":1737331200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by-nc-nd\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100009940","name":"Lotto New Zealand","doi-asserted-by":"publisher","award":["R\u2010LHR\u20102023\u2010215456"],"award-info":[{"award-number":["R\u2010LHR\u20102023\u2010215456"]}],"id":[{"id":"10.13039\/501100009940","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100009940","name":"Lotto New Zealand","doi-asserted-by":"publisher","award":["R\u2010LHR\u20102021\u2010153881"],"award-info":[{"award-number":["R\u2010LHR\u20102021\u2010153881"]}],"id":[{"id":"10.13039\/501100009940","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100019168","name":"Starship Foundation","doi-asserted-by":"publisher","award":["SF4374"],"award-info":[{"award-number":["SF4374"]}],"id":[{"id":"10.13039\/501100019168","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":[[2025,4]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Aims<\/jats:title>\n                    <jats:p>This study aimed to identify key factors with the greatest influence on glycaemic outcomes in young individuals with type 1 diabetes (T1D) and very elevated glycaemia after 3\u2009months of automated insulin delivery (AID).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Materials and Methods<\/jats:title>\n                    <jats:p>Data were combined and analysed from two separate and previously published studies with similar inclusion criteria assessing AID (MiniMed 780G) efficacy among young individuals na\u00efve to AID (aged 7\u201325\u2009years) with glycated haemoglobin A1c (HbA1c) \u226569\u2009mmol\/mol (\u22658.5%). Univariate and multivariate linear models were performed to explore factors leading to the greatest improvements in HbA1c and time in range 3.9\u201310.0\u2009mmol\/L (70\u2013180\u2009mg\/dL; TIR).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      A total of 99 young individuals (aged 17.3\u2009\u00b1\u20094.2\u2009years; baseline HbA1c 92\u2009\u00b1\u200921\u2009mmol\/mol [10.6%\u2009\u00b1\u20091.9%]) were included. After 3\u2009months of AID use, HbA1c improved to 65\u2009\u00b1\u200916\u2009mmol\/mol (8.1%\u2009\u00b1\u20091.5%) (\u221227\u2009\u00b1\u200923\u2009mmol\/mol; \u22122.5%\u2009\u00b1\u20092.1% change), and TIR improved from 24.2%\u2009\u00b1\u200913.5% to 58.4%\u2009\u00b1\u200915.4% (\n                      <jats:italic>p<\/jats:italic>\n                      both &lt;0.001). In the multivariate analysis, two key factors for both HbA1c and TIR improvement were identified: high baseline HbA1c (&gt;100\u2009mmol\/mol [&gt;11.0%]) and high time in automation mode (&gt;80%), which led to decreased HbA1c by 27.0\u2009mmol\/mol (2.4%) and 14.2\u2009mmol\/mol (1.3%) and increased TIR by 6.1% and 11.1% (\n                      <jats:italic>p<\/jats:italic>\n                      all &lt;0.05) respectively. Meal announcement frequency &gt;3 times\/day and glucose target of 5.5\u2009mmol\/L (100\u2009mg\/dL) also led to significant increases in TIR. No other factors, including age, prior use of multiple daily injection, ethnicity, gender and optimal active insulin time 2\u2009h, contributed to statistically significant HbA1c or TIR improvement.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusions<\/jats:title>\n                    <jats:p>In young individuals naive to AID, those with the highest baseline HbA1c and high percentage time in automation experience the greatest benefits after initiation of AID. Sociodemographic background and carbohydrate counting adherence\/knowledge should not prevent or delay access to AID technology (ACTRN12621000556842 and ACTRN12622001454763).<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/dom.16210","type":"journal-article","created":{"date-parts":[[2025,1,20]],"date-time":"2025-01-20T05:14:06Z","timestamp":1737350046000},"page":"2138-2146","update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":11,"title":["Predictors of glycaemic improvement in children and young adults with type 1 diabetes and very elevated\n                    <scp>HbA1c<\/scp>\n                    using the\n                    <scp>MiniMed 780G<\/scp>\n                    system"],"prefix":"10.1111","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0558-6712","authenticated-orcid":false,"given":"Yongwen","family":"Zhou","sequence":"first","affiliation":[{"name":"Department of Women's and Children's Health University of Otago  Dunedin New Zealand"},{"name":"The Third Affiliated Hospital of Sun Yat\u2010sen University Guangdong Provincial Key Laboratory of Diabetology  Guangzhou China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6266-8802","authenticated-orcid":false,"given":"Alisa","family":"Boucsein","sequence":"additional","affiliation":[{"name":"Department of Women's and Children's Health University of Otago  Dunedin New Zealand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-5675-0339","authenticated-orcid":false,"given":"Venus R.","family":"Michaels","sequence":"additional","affiliation":[{"name":"Department of Women's and Children's Health University of Otago  Dunedin New Zealand"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Madeleine K.","family":"Gray","sequence":"additional","affiliation":[{"name":"Department of Women's and Children's Health University of 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