{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,12]],"date-time":"2026-09-12T04:11:21Z","timestamp":1789186281745,"version":"build-2803163510"},"reference-count":33,"publisher":"Wiley","issue":"8","license":[{"start":{"date-parts":[[2026,6,21]],"date-time":"2026-06-21T00:00:00Z","timestamp":1782000000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,6,21]],"date-time":"2026-06-21T00:00:00Z","timestamp":1782000000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"funder":[{"DOI":"10.13039\/100018645","name":"Musculoskeletal Research Center, Washington University in St. Louis","doi-asserted-by":"publisher","id":[{"id":"10.13039\/100018645","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100000272","name":"National Institute for Health and Care Research","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100000272","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Diabet Med"],"published-print":{"date-parts":[[2026,8]]},"abstract":"<jats:title>Abstract<\/jats:title>\n                  <jats:sec>\n                    <jats:title>Aims<\/jats:title>\n                    <jats:p>The Automated Insulin Delivery among Pregnant women with Type 1 diabetes (AiDAPT) trial demonstrated that using the CamAPS FX automated insulin delivery (AID) was associated with improved glycaemic outcomes. This study aimed to assess the clinical and economic impact of improving third\u2010trimester HbA1c.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>Using the AiDAPT data, a health economics model was built to estimate clinical outcomes and healthcare resource utilisation associated with third\u2010trimester HbA1c categories (&lt;42\u2009mmol\/mol, 42\u201353\u2009mmol\/mol, \u226553\u2009mmol\/mol). AiDAPT HbA1c distribution and associated clinical outcomes (obstetric: pre\u2010eclampsia, delivery method; neonatal: length of stay in normal\/critical\/intensive care) were used to estimate perinatal complications. UK\u2010specific healthcare costs were extracted from the NHS National Schedule and other published sources. Total costs to the UK healthcare system were estimated using an incremental 3.3\u2009mmol\/mol (0.3%) HbA1c reduction observed with CamAPS FX AID over Standard Care in AIDAPT.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>In the model, HbA1c improvement with CamAPS FX AID was associated with projected reductions in pre\u2010eclampsia risk (\u221213%), high dependency neonatal care days (\u221216%), neonatal intensive care unit days (\u221212%) and clinic visits. The model projected cost reduction for the NHS healthcare system of \u00a36,696,636 under conservative modelling assumptions, being cost saving at 96.8% of the simulations. The projected incremental cost difference per woman treated with CamAPS FX AID was \u2010\u00a31016, mainly derived from a modelled shift in the distribution of neonatal care, with reduced length of stay in high dependency neonatal intensive care.<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>CamAPS FX AID improves third\u2010trimester HbA1c with projected cost reductions for the UK healthcare system.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1111\/dme.70394","type":"journal-article","created":{"date-parts":[[2026,6,22]],"date-time":"2026-06-22T04:31:50Z","timestamp":1782102710000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["<scp>HbA1c<\/scp>\n                    improvement in pregnant women with type 1 diabetes using the\n                    <scp>CamAPS FX<\/scp>\n                    automated insulin delivery (\n                    <scp>AID<\/scp>\n                    ) system: Clinical and economic outcomes"],"prefix":"10.1111","volume":"43","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2883-9679","authenticated-orcid":false,"given":"Maria\u2010Eleni","family":"Syleouni","sequence":"first","affiliation":[{"name":"Mylife Diabetes Care AG  Burgdorf Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Tara T. M.","family":"Lee","sequence":"additional","affiliation":[{"name":"Norwich Medical School University of East Anglia  Norwich UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-2117-3416","authenticated-orcid":false,"given":"Federica","family":"Carrieri","sequence":"additional","affiliation":[{"name":"Department of Medicine and Aging Sciences G. d'Annunzio University of Chieti\u2010Pescara  Chieti Italy"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Eleanor M.","family":"Scott","sequence":"additional","affiliation":[{"name":"Leeds Institute of Cardiovascular and Metabolic Medicine, School of Medicine University of Leeds  Leeds UK"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Aesha Khan","family":"Mir\u00f3n","sequence":"additional","affiliation":[{"name":"Mylife Diabetes Care AG  Burgdorf Switzerland"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6876-8727","authenticated-orcid":false,"given":"Helen R.","family":"Murphy","sequence":"additional","affiliation":[{"name":"Norwich Medical School University of East Anglia  Norwich UK"},{"name":"Norfolk &amp; Norwich University Hospital NHS Foundation Trust  Norwich UK"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"311","published-online":{"date-parts":[[2026,6,21]]},"reference":[{"key":"e_1_2_13_2_1","doi-asserted-by":"publisher","DOI":"10.2337\/dc11-0244"},{"key":"e_1_2_13_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/s2213-8587(20)30406-x"},{"key":"e_1_2_13_4_1","doi-asserted-by":"publisher","DOI":"10.1089\/dia.2021.0073"},{"key":"e_1_2_13_5_1","doi-asserted-by":"publisher","DOI":"10.1177\/19322968231223934"},{"key":"e_1_2_13_6_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa1602494"},{"key":"e_1_2_13_7_1","doi-asserted-by":"publisher","DOI":"10.2337\/dc17-2534"},{"key":"e_1_2_13_8_1","doi-asserted-by":"publisher","DOI":"10.1089\/dia.2023.0594"},{"key":"e_1_2_13_9_1","doi-asserted-by":"publisher","DOI":"10.1056\/NEJMoa2303911"},{"key":"e_1_2_13_10_1","doi-asserted-by":"publisher","DOI":"10.1016\/s2213-8587(24)00089-5"},{"key":"e_1_2_13_11_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00592-024-02430-x"},{"key":"e_1_2_13_12_1","doi-asserted-by":"publisher","DOI":"10.1177\/15209156261423217"},{"key":"e_1_2_13_13_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eclinm.2025.103106"},{"key":"e_1_2_13_14_1","doi-asserted-by":"publisher","DOI":"10.3389\/fgwh.2022.818856"},{"key":"e_1_2_13_15_1","unstructured":"NHS.\u201cNational pregnancy in diabetes audit 2021\u20132023 dashboard 2023.\u201dAccessed July 17 2025.https:\/\/digital.nhs.uk\/data\u2010and\u2010information\/publications\/statistical\/national\u2010pregnancy\u2010in\u2010diabetes\u2010audit\/2023"},{"key":"e_1_2_13_16_1","doi-asserted-by":"publisher","DOI":"10.1210\/clinem\/dgab769"},{"key":"e_1_2_13_17_1","unstructured":"NICE.\u201cDiabetes in pregnancy: Management from preconception to the postnatal period. 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