<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Dassau E</submitter><funding>Italian Ministero dell’Università e della Ricerca Scientifica</funding><funding>NCATS NIH HHS</funding><funding>National Institute of Diabetes and Digestive and Kidney Diseases</funding><funding>NIDDK NIH HHS</funding><funding>Urdang Family Foundation</funding><funding>National Center for Advancing Translational Science</funding><pagination>1719-1726</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC5711334</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>40(12)</volume><pubmed_abstract>&lt;h4>Objective&lt;/h4>Artificial pancreas (AP) systems are best positioned for optimal treatment of type 1 diabetes (T1D) and are currently being tested in outpatient clinical trials. Our consortium developed and tested a novel adaptive AP in an outpatient, single-arm, uncontrolled multicenter clinical trial lasting 12 weeks.&lt;h4>Research design and methods&lt;/h4>Thirty adults with T1D completed a continuous glucose monitor (CGM)-augmented 1-week sensor-augmented pump (SAP) period. After the AP was started, basal insulin delivery settings used by the AP for initialization were adapted weekly, and carbohydrate ratios were adapted every 4 weeks by an algorithm running on a cloud-based server, with automatic data upload from devices. Adaptations were reviewed by expert study clinicians and patients.</pubmed_abstract><journal>Diabetes care</journal><pubmed_title>Twelve-Week 24/7 Ambulatory Artificial Pancreas With Weekly Adaptation of Insulin Delivery Settings: Effect on Hemoglobin A&lt;sub>1c&lt;/sub> and Hypoglycemia.</pubmed_title><pmcid>PMC5711334</pmcid><funding_grant_id>UL1-TR-000135</funding_grant_id><funding_grant_id>Progetto di Ateneo dell’Università di Padova 2014</funding_grant_id><funding_grant_id>UL1 TR000135</funding_grant_id><funding_grant_id>DP3 DK094331</funding_grant_id><funding_grant_id>DP3-DK-094331</funding_grant_id><pubmed_authors>Bevier WC</pubmed_authors><pubmed_authors>Kudva YC</pubmed_authors><pubmed_authors>Anderson S</pubmed_authors><pubmed_authors>Hinshaw L</pubmed_authors><pubmed_authors>Dadlani V</pubmed_authors><pubmed_authors>Basu A</pubmed_authors><pubmed_authors>Dalla Man C</pubmed_authors><pubmed_authors>Patek S</pubmed_authors><pubmed_authors>Dassau E</pubmed_authors><pubmed_authors>Schiavon M</pubmed_authors><pubmed_authors>Hughes J</pubmed_authors><pubmed_authors>Church MM</pubmed_authors><pubmed_authors>Gondhalekar R</pubmed_authors><pubmed_authors>Doyle FJ</pubmed_authors><pubmed_authors>Huyett LM</pubmed_authors><pubmed_authors>Brown SA</pubmed_authors><pubmed_authors>Lv D</pubmed_authors><pubmed_authors>Pinsker JE</pubmed_authors><pubmed_authors>Dasanayake I</pubmed_authors><pubmed_authors>McCrady-Spitzer SK</pubmed_authors><pubmed_authors>Carter RE</pubmed_authors><pubmed_authors>Cobelli C</pubmed_authors><pubmed_authors>Schertz E</pubmed_authors><pubmed_authors>Emory E</pubmed_authors><pubmed_authors>Bradley PK</pubmed_authors><pubmed_authors>Laguna Sanz AJ</pubmed_authors><pubmed_authors>Kovatchev B</pubmed_authors><pubmed_authors>Jean T</pubmed_authors></additional><is_claimable>false</is_claimable><name>Twelve-Week 24/7 Ambulatory Artificial Pancreas With Weekly Adaptation of Insulin Delivery Settings: Effect on Hemoglobin A&lt;sub>1c&lt;/sub> and Hypoglycemia.</name><description>&lt;h4>Objective&lt;/h4>Artificial pancreas (AP) systems are best positioned for optimal treatment of type 1 diabetes (T1D) and are currently being tested in outpatient clinical trials. Our consortium developed and tested a novel adaptive AP in an outpatient, single-arm, uncontrolled multicenter clinical trial lasting 12 weeks.&lt;h4>Research design and methods&lt;/h4>Thirty adults with T1D completed a continuous glucose monitor (CGM)-augmented 1-week sensor-augmented pump (SAP) period. After the AP was started, basal insulin delivery settings used by the AP for initialization were adapted weekly, and carbohydrate ratios were adapted every 4 weeks by an algorithm running on a cloud-based server, with automatic data upload from devices. Adaptations were reviewed by expert study clinicians and patients.</description><dates><release>2017-01-01T00:00:00Z</release><publication>2017 Dec</publication><modification>2026-05-02T19:29:52.328Z</modification><creation>2019-03-27T00:09:16Z</creation></dates><accession>S-EPMC5711334</accession><cross_references><pubmed>29030383</pubmed><doi>10.2337/dc17-1188</doi></cross_references></HashMap>