Overnight glucose control with an automated, unified safety system in children and adolescents with type 1 diabetes at diabetes camp.
Identifieur interne : 003331 ( PubMed/Checkpoint ); précédent : 003330; suivant : 003332Overnight glucose control with an automated, unified safety system in children and adolescents with type 1 diabetes at diabetes camp.
Auteurs : Trang T. Ly [Australie] ; Marc D. Breton [États-Unis] ; Patrick Keith-Hynes [États-Unis] ; Daniel De Salvo [États-Unis] ; Paula Clinton [États-Unis] ; Kari Benassi [États-Unis] ; Benton Mize [États-Unis] ; Daniel Chernavvsky [États-Unis] ; Jér Me Place [France] ; Darrell M. Wilson [États-Unis] ; Boris P. Kovatchev [États-Unis] ; Bruce A. Buckingham [États-Unis]Source :
- Diabetes care [ 1935-5548 ] ; 2014.
Descripteurs français
- KwdFr :
- Adolescent, Adulte, Algorithmes, Analyse de l'intention de traiter, Automatisation, Autosurveillance glycémique (instrumentation), Camping, Diabète de type 1 (sang), Diabète de type 1 (traitement médicamenteux), Diabète de type 1 (épidémiologie), Enfant, Femelle, Glycémie (), Glycémie (métabolisme), Humains, Hypoglycémiants (administration et posologie), Hypoglycémiants (effets indésirables), Insuline (administration et posologie), Insuline (effets indésirables), Jeune adulte, Mâle, Pompes à insuline (effets indésirables), Rythme circadien, Techniques de biocapteur (instrumentation).
- MESH :
- administration et posologie : Hypoglycémiants, Insuline.
- effets indésirables : Hypoglycémiants, Insuline, Pompes à insuline.
- métabolisme : Glycémie.
- sang : Autosurveillance glycémique, Diabète de type 1, Techniques de biocapteur.
- traitement médicamenteux : Diabète de type 1.
- épidémiologie : Diabète de type 1.
- Adolescent, Adulte, Algorithmes, Analyse de l'intention de traiter, Automatisation, Camping, Enfant, Femelle, Glycémie, Humains, Jeune adulte, Mâle, Rythme circadien.
English descriptors
- KwdEn :
- Adolescent, Adult, Algorithms, Automation, Biosensing Techniques (instrumentation), Blood Glucose (drug effects), Blood Glucose (metabolism), Blood Glucose Self-Monitoring (instrumentation), Camping, Child, Circadian Rhythm, Diabetes Mellitus, Type 1 (blood), Diabetes Mellitus, Type 1 (drug therapy), Diabetes Mellitus, Type 1 (epidemiology), Female, Humans, Hypoglycemic Agents (administration & dosage), Hypoglycemic Agents (adverse effects), Insulin (administration & dosage), Insulin (adverse effects), Insulin Infusion Systems (adverse effects), Intention to Treat Analysis, Male, Young Adult.
- MESH :
- chemical , administration & dosage : Hypoglycemic Agents, Insulin.
- chemical , adverse effects : Hypoglycemic Agents, Insulin.
- chemical , drug effects : Blood Glucose.
- adverse effects : Insulin Infusion Systems.
- blood : Diabetes Mellitus, Type 1.
- drug therapy : Diabetes Mellitus, Type 1.
- epidemiology : Diabetes Mellitus, Type 1.
- instrumentation : Biosensing Techniques, Blood Glucose Self-Monitoring.
- chemical , metabolism : Blood Glucose.
- Adolescent, Adult, Algorithms, Automation, Camping, Child, Circadian Rhythm, Female, Humans, Intention to Treat Analysis, Male, Young Adult.
Abstract
To determine the safety and efficacy of an automated unified safety system (USS) in providing overnight closed-loop (OCL) control in children and adolescents with type 1 diabetes attending diabetes summer camps.
DOI: 10.2337/dc14-0147
PubMed: 24879841
Affiliations:
- Australie, France, États-Unis
- Californie, Languedoc-Roussillon, Occitanie (région administrative), Virginie
- Montpellier
Links toward previous steps (curation, corpus...)
Links to Exploration step
pubmed:24879841Le document en format XML
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<term>Automatisation</term>
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<term>Femelle</term>
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<front><div type="abstract" xml:lang="en">To determine the safety and efficacy of an automated unified safety system (USS) in providing overnight closed-loop (OCL) control in children and adolescents with type 1 diabetes attending diabetes summer camps.</div>
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<Day>25</Day>
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<JournalIssue CitedMedium="Internet"><Volume>37</Volume>
<Issue>8</Issue>
<PubDate><Year>2014</Year>
<Month>Aug</Month>
</PubDate>
</JournalIssue>
<Title>Diabetes care</Title>
<ISOAbbreviation>Diabetes Care</ISOAbbreviation>
</Journal>
<ArticleTitle>Overnight glucose control with an automated, unified safety system in children and adolescents with type 1 diabetes at diabetes camp.</ArticleTitle>
<Pagination><MedlinePgn>2310-6</MedlinePgn>
</Pagination>
<ELocationID EIdType="doi" ValidYN="Y">10.2337/dc14-0147</ELocationID>
<Abstract><AbstractText Label="OBJECTIVE" NlmCategory="OBJECTIVE">To determine the safety and efficacy of an automated unified safety system (USS) in providing overnight closed-loop (OCL) control in children and adolescents with type 1 diabetes attending diabetes summer camps.</AbstractText>
<AbstractText Label="RESEARCH DESIGN AND METHODS" NlmCategory="METHODS">The Diabetes Assistant (DIAS) USS used the Dexcom G4 Platinum glucose sensor (Dexcom) and t:slim insulin pump (Tandem Diabetes Care). An initial inpatient study was completed for 12 participants to evaluate safety. For the main camp study, 20 participants with type 1 diabetes were randomized to either OCL or sensor-augmented therapy (control conditions) per night over the course of a 5- to 6-day diabetes camp.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">Subjects completed 54 OCL nights and 52 control nights. On an intention-to-treat basis, with glucose data analyzed regardless of system status, the median percent time in range, from 70-150 mg/dL, was 62% (29, 87) for OCL nights versus 55% (25, 80) for sensor-augmented pump therapy (P = 0.233). A per-protocol analysis allowed for assessment of algorithm performance. The median percent time in range, from 70-150 mg/dL, was 73% (50, 89) for OCL nights (n = 41) versus 52% (24, 83) for control conditions (n = 39) (P = 0.037). There was less time spent in the hypoglycemic range <50, <60, and <70 mg/dL during OCL compared with the control period (P = 0.019, P = 0.009, and P = 0.023, respectively).</AbstractText>
<AbstractText Label="CONCLUSIONS" NlmCategory="CONCLUSIONS">The DIAS USS algorithm is effective in improving time spent in range as well as reducing nocturnal hypoglycemia during the overnight period in children and adolescents with type 1 diabetes in a diabetes camp setting.</AbstractText>
<CopyrightInformation>© 2014 by the American Diabetes Association. Readers may use this article as long as the work is properly cited, the use is educational and not for profit, and the work is not altered.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Ly</LastName>
<ForeName>Trang T</ForeName>
<Initials>TT</Initials>
<AffiliationInfo><Affiliation>Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, CASchool of Paediatrics and Child Health, The University of Western Australia, Perth, Western Australia, Australia.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Breton</LastName>
<ForeName>Marc D</ForeName>
<Initials>MD</Initials>
<AffiliationInfo><Affiliation>Center for Diabetes Technology, University of Virginia, Charlottesville, VA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Keith-Hynes</LastName>
<ForeName>Patrick</ForeName>
<Initials>P</Initials>
<AffiliationInfo><Affiliation>Center for Diabetes Technology, University of Virginia, Charlottesville, VA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>De Salvo</LastName>
<ForeName>Daniel</ForeName>
<Initials>D</Initials>
<AffiliationInfo><Affiliation>Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Clinton</LastName>
<ForeName>Paula</ForeName>
<Initials>P</Initials>
<AffiliationInfo><Affiliation>Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Benassi</LastName>
<ForeName>Kari</ForeName>
<Initials>K</Initials>
<AffiliationInfo><Affiliation>Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Mize</LastName>
<ForeName>Benton</ForeName>
<Initials>B</Initials>
<AffiliationInfo><Affiliation>Center for Diabetes Technology, University of Virginia, Charlottesville, VA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Chernavvsky</LastName>
<ForeName>Daniel</ForeName>
<Initials>D</Initials>
<AffiliationInfo><Affiliation>Center for Diabetes Technology, University of Virginia, Charlottesville, VA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Place</LastName>
<ForeName>Jéróme</ForeName>
<Initials>J</Initials>
<AffiliationInfo><Affiliation>Department of Endocrinology, Diabetes and Nutrition, Montpellier University Hospital, Montpellier, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Wilson</LastName>
<ForeName>Darrell M</ForeName>
<Initials>DM</Initials>
<AffiliationInfo><Affiliation>Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Kovatchev</LastName>
<ForeName>Boris P</ForeName>
<Initials>BP</Initials>
<AffiliationInfo><Affiliation>Center for Diabetes Technology, University of Virginia, Charlottesville, VA.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Buckingham</LastName>
<ForeName>Bruce A</ForeName>
<Initials>BA</Initials>
<AffiliationInfo><Affiliation>Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics, Stanford University School of Medicine, Stanford, CA buckingham@stanford.edu.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>eng</Language>
<GrantList CompleteYN="Y"><Grant><GrantID>UL1 TR000093</GrantID>
<Acronym>TR</Acronym>
<Agency>NCATS NIH HHS</Agency>
<Country>United States</Country>
</Grant>
<Grant><GrantID>UL1 TR001085</GrantID>
<Acronym>TR</Acronym>
<Agency>NCATS NIH HHS</Agency>
<Country>United States</Country>
</Grant>
</GrantList>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
<PublicationType UI="D016449">Randomized Controlled Trial</PublicationType>
<PublicationType UI="D052061">Research Support, N.I.H., Extramural</PublicationType>
<PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType>
</PublicationTypeList>
<ArticleDate DateType="Electronic"><Year>2014</Year>
<Month>05</Month>
<Day>30</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo><Country>United States</Country>
<MedlineTA>Diabetes Care</MedlineTA>
<NlmUniqueID>7805975</NlmUniqueID>
<ISSNLinking>0149-5992</ISSNLinking>
</MedlineJournalInfo>
<ChemicalList><Chemical><RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="D001786">Blood Glucose</NameOfSubstance>
</Chemical>
<Chemical><RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="D007004">Hypoglycemic Agents</NameOfSubstance>
</Chemical>
<Chemical><RegistryNumber>0</RegistryNumber>
<NameOfSubstance UI="D007328">Insulin</NameOfSubstance>
</Chemical>
</ChemicalList>
<CitationSubset>IM</CitationSubset>
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</CommentsCorrectionsList>
<MeshHeadingList><MeshHeading><DescriptorName UI="D000293" MajorTopicYN="N">Adolescent</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000465" MajorTopicYN="N">Algorithms</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D001331" MajorTopicYN="N">Automation</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D015374" MajorTopicYN="N">Biosensing Techniques</DescriptorName>
<QualifierName UI="Q000295" MajorTopicYN="Y">instrumentation</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D001786" MajorTopicYN="N">Blood Glucose</DescriptorName>
<QualifierName UI="Q000187" MajorTopicYN="N">drug effects</QualifierName>
<QualifierName UI="Q000378" MajorTopicYN="Y">metabolism</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D015190" MajorTopicYN="N">Blood Glucose Self-Monitoring</DescriptorName>
<QualifierName UI="Q000295" MajorTopicYN="N">instrumentation</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D002165" MajorTopicYN="N">Camping</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D002648" MajorTopicYN="N">Child</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D002940" MajorTopicYN="N">Circadian Rhythm</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D003922" MajorTopicYN="N">Diabetes Mellitus, Type 1</DescriptorName>
<QualifierName UI="Q000097" MajorTopicYN="Y">blood</QualifierName>
<QualifierName UI="Q000188" MajorTopicYN="Y">drug therapy</QualifierName>
<QualifierName UI="Q000453" MajorTopicYN="N">epidemiology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D007004" MajorTopicYN="N">Hypoglycemic Agents</DescriptorName>
<QualifierName UI="Q000008" MajorTopicYN="Y">administration & dosage</QualifierName>
<QualifierName UI="Q000009" MajorTopicYN="N">adverse effects</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D007328" MajorTopicYN="N">Insulin</DescriptorName>
<QualifierName UI="Q000008" MajorTopicYN="Y">administration & dosage</QualifierName>
<QualifierName UI="Q000009" MajorTopicYN="N">adverse effects</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D007332" MajorTopicYN="Y">Insulin Infusion Systems</DescriptorName>
<QualifierName UI="Q000009" MajorTopicYN="N">adverse effects</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D057194" MajorTopicYN="N">Intention to Treat Analysis</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D055815" MajorTopicYN="N">Young Adult</DescriptorName>
</MeshHeading>
</MeshHeadingList>
<OtherID Source="NLM">PMC4179507</OtherID>
</MedlineCitation>
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<ArticleIdList><ArticleId IdType="pubmed">24879841</ArticleId>
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<affiliations><list><country><li>Australie</li>
<li>France</li>
<li>États-Unis</li>
</country>
<region><li>Californie</li>
<li>Languedoc-Roussillon</li>
<li>Occitanie (région administrative)</li>
<li>Virginie</li>
</region>
<settlement><li>Montpellier</li>
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<country name="États-Unis"><region name="Virginie"><name sortKey="Breton, Marc D" sort="Breton, Marc D" uniqKey="Breton M" first="Marc D" last="Breton">Marc D. Breton</name>
</region>
<name sortKey="Benassi, Kari" sort="Benassi, Kari" uniqKey="Benassi K" first="Kari" last="Benassi">Kari Benassi</name>
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