<HashMap><database>biostudies-literature</database><scores/><additional><submitter>O'Malley G</submitter><funding>NIDDK NIH HHS</funding><pagination>245-252</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC8114941</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>23(4)</volume><pubmed_abstract>&lt;b>&lt;i>Background:&lt;/i>&lt;/b> Data are limited on the need for and benefits of pump setting optimization with automated insulin delivery. We examined clinical management of a closed-loop control (CLC) system and its relationship to glycemic outcomes. &lt;b>&lt;i>Materials and Methods:&lt;/i>&lt;/b> We analyzed personal parameter adjustments in 168 participants in a 6-month multicenter trial of CLC with Control-IQ versus sensor-augmented pump (SAP) therapy. Preset parameters (BR = basal rates, CF = correction factors, CR = carbohydrate ratios) were optimized at randomization, 2 and 13 weeks, for safety issues, participant concerns, or initiation by participants' usual diabetes care team. Time in range (TIR 70-180 mg/dL) was compared in the week before and after parameter changes. &lt;b>&lt;i>Results:&lt;/i>&lt;/b> In </pubmed_abstract><journal>Diabetes technology &amp; therapeutics</journal><pubmed_title>Clinical Management and Pump Parameter Adjustment of the Control-IQ Closed-Loop Control System: Results from a 6-Month, Multicenter, Randomized Clinical Trial.</pubmed_title><pmcid>PMC8114941</pmcid><funding_grant_id>P30 DK036836</funding_grant_id><funding_grant_id>U24 DK123768</funding_grant_id><pubmed_authors>McCrady-Spitzer S</pubmed_authors><pubmed_authors>Levy CJ</pubmed_authors><pubmed_authors>Patibandla N</pubmed_authors><pubmed_authors>Eggerman T</pubmed_authors><pubmed_authors>Slover R</pubmed_authors><pubmed_authors>Dadlani V</pubmed_authors><pubmed_authors>Isganaitis E</pubmed_authors><pubmed_authors>Flint E</pubmed_authors><pubmed_authors>Tabatabai I</pubmed_authors><pubmed_authors>Paulson JA</pubmed_authors><pubmed_authors>Calvo K</pubmed_authors><pubmed_authors>Simha V</pubmed_authors><pubmed_authors>Brown SA</pubmed_authors><pubmed_authors>Ambler-Osborn L</pubmed_authors><pubmed_authors>Levister C</pubmed_authors><pubmed_authors>Renard E</pubmed_authors><pubmed_authors>Keller J</pubmed_authors><pubmed_authors>Berget C</pubmed_authors><pubmed_authors>Pinsker JE</pubmed_authors><pubmed_authors>Andre C</pubmed_authors><pubmed_authors>Murphy C</pubmed_authors><pubmed_authors>Campos T</pubmed_authors><pubmed_authors>iDCL Trial Research Group</pubmed_authors><pubmed_authors>Emory E</pubmed_authors><pubmed_authors>Jost E</pubmed_authors><pubmed_authors>Jacobson T</pubmed_authors><pubmed_authors>Conshafter K</pubmed_authors><pubmed_authors>Kovatchev B</pubmed_authors><pubmed_authors>O'Malley G</pubmed_authors><pubmed_authors>Lam D</pubmed_authors><pubmed_authors>Kudva YC</pubmed_authors><pubmed_authors>Reznik Y</pubmed_authors><pubmed_authors>Anderson S</pubmed_authors><pubmed_authors>Kim K</pubmed_authors><pubmed_authors>Kollman DRC</pubmed_authors><pubmed_authors>Rossick-Solis A</pubmed_authors><pubmed_authors>Raghinaru D</pubmed_authors><pubmed_authors>Borgman S</pubmed_authors><pubmed_authors>Laffel L</pubmed_authors><pubmed_authors>Ekhlaspour L</pubmed_authors><pubmed_authors>Morris K</pubmed_authors><pubmed_authors>Towers L</pubmed_authors><pubmed_authors>Church MM</pubmed_authors><pubmed_authors>Salas E</pubmed_authors><pubmed_authors>Voelmle M</pubmed_authors><pubmed_authors>Mitchell H</pubmed_authors><pubmed_authors>Roethke L</pubmed_authors><pubmed_authors>Piper M</pubmed_authors><pubmed_authors>Alonso GT</pubmed_authors><pubmed_authors>Buckingham B</pubmed_authors><pubmed_authors>Lum J</pubmed_authors><pubmed_authors>Wakeman C</pubmed_authors><pubmed_authors>Messer LH</pubmed_authors><pubmed_authors>Breton M</pubmed_authors><pubmed_authors>Ogyaadu S</pubmed_authors><pubmed_authors>Passman S</pubmed_authors><pubmed_authors>Green N</pubmed_authors><pubmed_authors>Forlenza GP</pubmed_authors><pubmed_authors>Cobelli C</pubmed_authors><pubmed_authors>Lovett J</pubmed_authors><pubmed_authors>Oliveri M</pubmed_authors><pubmed_authors>Gondor-Fredrick L</pubmed_authors><pubmed_authors>Town M</pubmed_authors><pubmed_authors>Arreza-Rubin G</pubmed_authors><pubmed_authors>Wadwa RP</pubmed_authors><pubmed_authors>Reid C</pubmed_authors><pubmed_authors>Kumari K</pubmed_authors><pubmed_authors>Beck JLR</pubmed_authors></additional><is_claimable>false</is_claimable><name>Clinical Management and Pump Parameter Adjustment of the Control-IQ Closed-Loop Control System: Results from a 6-Month, Multicenter, Randomized Clinical Trial.</name><description>&lt;b>&lt;i>Background:&lt;/i>&lt;/b> Data are limited on the need for and benefits of pump setting optimization with automated insulin delivery. We examined clinical management of a closed-loop control (CLC) system and its relationship to glycemic outcomes. &lt;b>&lt;i>Materials and Methods:&lt;/i>&lt;/b> We analyzed personal parameter adjustments in 168 participants in a 6-month multicenter trial of CLC with Control-IQ versus sensor-augmented pump (SAP) therapy. Preset parameters (BR = basal rates, CF = correction factors, CR = carbohydrate ratios) were optimized at randomization, 2 and 13 weeks, for safety issues, participant concerns, or initiation by participants' usual diabetes care team. Time in range (TIR 70-180 mg/dL) was compared in the week before and after parameter changes. &lt;b>&lt;i>Results:&lt;/i>&lt;/b> In </description><dates><release>2021-01-01T00:00:00Z</release><publication>2021 Apr</publication><modification>2025-04-04T23:03:10.336Z</modification><creation>2025-02-18T23:32:28.498Z</creation></dates><accession>S-EPMC8114941</accession><cross_references><pubmed>33155824</pubmed><doi>10.1089/dia.2020.0472</doi></cross_references></HashMap>