2023
Personalized Digital Health Information to Substantiate Human-Delivered Exercise Support for Adults With Type 1 Diabetes
Ash G, Nally L, Stults-Kolehmainen M, De Los Santos M, Jeon S, Brandt C, Gulanski B, Spanakis E, Baker J, Weinzimer S, Fucito L. Personalized Digital Health Information to Substantiate Human-Delivered Exercise Support for Adults With Type 1 Diabetes. Clinical Journal Of Sport Medicine 2023, 33: 512-520. PMID: 36715983, PMCID: PMC10898917, DOI: 10.1097/jsm.0000000000001078.Peer-Reviewed Original ResearchMeSH KeywordsAdultBlood GlucoseBlood Glucose Self-MonitoringDiabetes Mellitus, Type 1ExerciseHumansHypoglycemiaConceptsContinuous glucose monitoringExercise supportHealth informationDigital health informationBody mass indexType 1 diabetesCommunity-based sampleSevere hypoglycemiaMass indexPsychosocial assessmentCGM useHigh satisfaction ratingsPhysician oversightType 1Future interventionsGlucose monitoringMedical readinessMolecular biomarkersBaseline observationsInterventionSatisfaction ratingsAdultsExerciseBehavioral skillsSingle group
2022
Consensus Recommendations for the Use of Automated Insulin Delivery Technologies in Clinical Practice
Phillip M, Nimri R, Bergenstal RM, Barnard-Kelly K, Danne T, Hovorka R, Kovatchev BP, Messer LH, Parkin CG, Ambler-Osborn L, Amiel SA, Bally L, Beck RW, Biester S, Biester T, Blanchette JE, Bosi E, Boughton CK, Breton MD, Brown SA, Buckingham BA, Cai A, Carlson AL, Castle JR, Choudhary P, Close KL, Cobelli C, Criego AB, Davis E, de Beaufort C, de Bock MI, DeSalvo DJ, DeVries JH, Dovc K, Doyle FJ, Ekhlaspour L, Shvalb NF, Forlenza GP, Gallen G, Garg SK, Gershenoff DC, Gonder-Frederick LA, Haidar A, Hartnell S, Heinemann L, Heller S, Hirsch IB, Hood KK, Isaacs D, Klonoff DC, Kordonouri O, Kowalski A, Laffel L, Lawton J, Lal RA, Leelarathna L, Maahs DM, Murphy HR, Nørgaard K, O’Neal D, Oser S, Oser T, Renard E, Riddell MC, Rodbard D, Russell SJ, Schatz DA, Shah VN, Sherr JL, Simonson GD, Wadwa RP, Ward C, Weinzimer SA, Wilmot EG, Battelino T. Consensus Recommendations for the Use of Automated Insulin Delivery Technologies in Clinical Practice. Endocrine Reviews 2022, 44: 254-280. PMID: 36066457, PMCID: PMC9985411, DOI: 10.1210/endrev/bnac022.Peer-Reviewed Original ResearchMeSH KeywordsBlood GlucoseBlood Glucose Self-MonitoringConsensusDiabetes Mellitus, Type 1HumansHypoglycemic AgentsInsulinConceptsInsulin delivery technologiesGlycemic goalsNear-normal glucose levelsLong-term complicationsReal-world studyHypoglycemia riskDiabetes QualityConsensus recommendationsGlucose levelsGlobal prevalenceDiabetes managementEligibility criteriaClinical practiceDelivery technologiesHealthcare providersClinical settingDiabetesInsurance coverageSignificant proportionCliniciansAid successPWDPayersComplicationsTremendous advancesAssessing Incorporation of Type 1 Diabetes Into Identity: Validation of the Accepting Diabetes and Personal Treatment (ADAPT) Survey in Teens and Young Adults
Commissariat PV, Volkening LK, Weinzimer SA, Dassau E, Laffel LM. Assessing Incorporation of Type 1 Diabetes Into Identity: Validation of the Accepting Diabetes and Personal Treatment (ADAPT) Survey in Teens and Young Adults. Canadian Journal Of Diabetes 2022, 47: 66-72. PMID: 36184368, PMCID: PMC10096441, DOI: 10.1016/j.jcjd.2022.08.007.Peer-Reviewed Original ResearchConceptsYoung adultsTreatment surveyDiabetes device useLess diabetes distressCross-sectional studyType 1 diabetesQuality of lifeImpact of T1DInternal consistencyLower A1CMale sexDiabetes distressExcellent internal consistencyMedical recordsCGM useDiabetes managementT1DHealth outcomesDiabetesType 1Clinical interventionsPsychosocial outcomesBenefit findingA1CAdultsA Pilot randomized trial to examine effects of a hybrid closed-loop insulin delivery system on neurodevelopmental and cognitive outcomes in adolescents with type 1 diabetes
Reiss AL, Jo B, Arbelaez AM, Tsalikian E, Buckingham B, Weinzimer SA, Fox LA, Cato A, White NH, Tansey M, Aye T, Tamborlane W, Englert K, Lum J, Mazaika P, Foland-Ross L, Marzelli M, Mauras N. A Pilot randomized trial to examine effects of a hybrid closed-loop insulin delivery system on neurodevelopmental and cognitive outcomes in adolescents with type 1 diabetes. Nature Communications 2022, 13: 4940. PMID: 36042217, PMCID: PMC9427757, DOI: 10.1038/s41467-022-32289-x.Peer-Reviewed Original ResearchConceptsHybrid closed-loop insulin delivery systemStandard care groupType 1 diabetesClosed-loop insulin delivery systemWhite matter volumeCare groupPrimary outcomeInsulin delivery systemsMatter volumeFractional anisotropyCognitive AssessmentRigorous glucose controlDiagnosis of T1DClosed-loop groupBetter diabetes controlDiabetes care groupsConcept pilot studyYears of ageAcademic medical centerFunctional brain activityCortical surface areaMonths study durationRandomized participantsDiabetes controlGlucose controlImpact of Temporary Glycemic Target Use in the Hybrid and Advanced Hybrid Closed-Loop Systems
Dovc K, Battelino T, Beck RW, Sibayan J, Bailey RJ, Calhoun P, Turcotte C, Weinzimer S, Schweiger D, Nimri R, Bergenstal RM. Impact of Temporary Glycemic Target Use in the Hybrid and Advanced Hybrid Closed-Loop Systems. Diabetes Technology & Therapeutics 2022, 24: 848-852. PMID: 35848991, PMCID: PMC9618368, DOI: 10.1089/dia.2022.0153.Peer-Reviewed Original ResearchLived experience of CamAPS FX closed loop system in youth with type 1 diabetes and their parents
Hood KK, Garcia‐Willingham N, Hanes S, Tanenbaum ML, Ware J, Boughton CK, Allen JM, Wilinska ME, Tauschmann M, Denvir L, Thankamony A, Campbell F, Wadwa RP, Buckingham BA, Davis N, DiMeglio LA, Mauras N, Besser REJ, Ghatak A, Weinzimer SA, Fox DS, Kanapka L, Kollman C, Sibayan J, Beck RW, Hovorka R, Consortium T. Lived experience of CamAPS FX closed loop system in youth with type 1 diabetes and their parents. Diabetes Obesity And Metabolism 2022, 24: 2309-2318. PMID: 35837984, PMCID: PMC9804666, DOI: 10.1111/dom.14815.Peer-Reviewed Original ResearchA Comparison of Postprandial Glucose Control in the Medtronic Advanced Hybrid Closed-Loop System Versus 670G
Weinzimer S, Bailey RJ, Bergenstal RM, Nimri R, Beck RW, Schatz D, Ambler-Osborn L, Schweiger DS, von dem Berge T, Sibayan J, Johnson ML, Calhoun P, Phillip M, Bergenstal R, Phillip M, Criego A, Bergenstal R, Carlson A, Martens T, Beasley S, Johnson M, Whipple D, Hyatt J, Punel A, Grieme A, Thomas L, LaFrance A, Hasledalen C, Laffel L, Isganaitis E, Freiner E, Ambler-Osborn L, Desrochers H, Turcotte C, Naik N, Roethke L, Fisher M, Nimri R, Nevo M, Bello R, Hamou A, Hermon O, Horesh O, Shiovitch Mantzuri G, Drotz I, Yehiel N, Naveh R, Schatz D, Haller M, Albanese-O'Neill A, Sheehan E, Leey J, Smith M, Jacobsen L, Adams J, Hosford J, Whyte L, Battelino T, Dovč K, Bratina N, Šmigoc Schweiger D, Sever U, Gianini A, Murn Berkopec B, Mali B, Weinzimer S, Weyman K, Carria L, Zgorski M, Danne T, Biester T, von dem Berge T, Weiskorn J, Kordonouri O, Biester S, Aschemeier B, Remus K, Pisarek N, Sibayan J, Beck R, Mouse T, Davis J, Bailey R, Hellmann A, Reese N, Calhoun P, Strayer H, Cohen N, Henderson R, Kollman C, Kennedy J, Woodall W, Mahr I, Hood K, Arreaza-Rubin G, Eggerman T, Green N, Janicek R, Gabrielson D, Belle S, Castle J, Green J, Legault L, Willi S, Wysham C, Eggerman T. A Comparison of Postprandial Glucose Control in the Medtronic Advanced Hybrid Closed-Loop System Versus 670G. Diabetes Technology & Therapeutics 2022, 24: 573-582. PMID: 35363054, PMCID: PMC9353997, DOI: 10.1089/dia.2021.0568.Peer-Reviewed Original ResearchConceptsHybrid closed-loop systemGlucose levelsGlycemic controlGlycemic excursionsAdvanced hybrid closed-loop systemG armPostprandial glycemic excursionsPostprandial glycemic controlType 1 diabetesPostprandial glucose controlPrandial insulin deliveryTreatment armsCrossover trialGlucose controlMedtronic MiniMedSecondary analysisMeal sizeOvernight improvementInsulin deliveryHyperglycemiaOutcomesArmLevel 2HypoglycemiaPremealCambridge hybrid closed-loop algorithm in children and adolescents with type 1 diabetes: a multicentre 6-month randomised controlled trial
Ware J, Boughton CK, Allen JM, Wilinska ME, Tauschmann M, Denvir L, Thankamony A, Campbell FM, Wadwa RP, Buckingham BA, Davis N, DiMeglio LA, Mauras N, Besser REJ, Ghatak A, Weinzimer SA, Hood KK, Fox DS, Kanapka L, Kollman C, Sibayan J, Beck RW, Hovorka R, Consortium D, Hovorka R, Acerini C, Thankamony A, Allen J, Boughton C, Dovc K, Dunger D, Ware J, Musolino G, Tauschmann M, Wilinska M, Hayes J, Hartnell S, Slegtenhorst S, Ruan Y, Haydock M, Mangat J, Denvir L, Kanthagnany S, Law J, Randell T, Sachdev P, Saxton M, Coupe A, Stafford S, Ball A, Keeton R, Cresswell R, Crate L, Cripps H, Fazackerley H, Looby L, Navarra H, Saddington C, Smith V, Verhoeven V, Bratt S, Khan N, Moyes L, Sandhu K, West C, Wadwa R, Alonso G, Forlenza G, Slover R, Towers L, Berget C, Coakley A, Escobar E, Jost E, Lange S, Messer L, Thivener K, Campbell F, Yong J, Metcalfe E, Allen M, Ambler S, Waheed S, Exall J, Tulip J, Buckingham B, Ekhlaspour L, Maahs D, Norlander L, Jacobson T, Twon M, Weir C, Leverenz B, Keller J, Davis N, Kumaran A, Trevelyan N, Dewar H, Price G, Crouch G, Ensom R, Haskell L, Lueddeke L, Mauras N, Benson M, Bird K, Englert K, Permuy J, Ponthieux K, Marrero-Hernandez J, DiMeglio L, Ismail H, Jolivette H, Sanchez J, Woerner S, Kirchner M, Mullen M, Tebbe M, Besser R, Basu S, London R, Makaya T, Ryan F, Megson C, Bowen-Morris J, Haest J, Law R, Stamford I, Ghatak A, Deakin M, Phelan K, Thornborough K, Shakeshaft J, Weinzimer S, Cengiz E, Sherr J, Van Name M, Weyman K, Carria L, Steffen A, Zgorski M, Sibayan J, Beck R, Borgman S, Davis J, Rusnak J, Hellman A, Cheng P, Kanapka L, Kollman C, McCarthy C, Chalasani S, Hood K, Hanes S, Viana J, Lanning M, Fox D, Arreaza-Rubin G, Eggerman T, Green N, Janicek R, Gabrielson D, Belle S, Castle J, Green J, Legault L, Willi S, Wysham C. Cambridge hybrid closed-loop algorithm in children and adolescents with type 1 diabetes: a multicentre 6-month randomised controlled trial. The Lancet Digital Health 2022, 4: e245-e255. PMID: 35272971, DOI: 10.1016/s2589-7500(22)00020-6.Peer-Reviewed Original ResearchConceptsClosed-loop groupInsulin pump therapyType 1 diabetesControl groupBaseline HbAUsual carePump therapyClosed-loop insulin deliverySuboptimal glucose controlPediatric diabetes centersKey inclusion criteriaClosed-loop insulin delivery systemPrimary endpointBlock randomisationDiabetes CenterGlucose controlInsulin delivery systemsInclusion criteriaPrimary analysisTherapyInsulin deliveryMonthsG pumpHbADiabetesCongenital hyperinsulinism in infancy and childhood: challenges, unmet needs and the perspective of patients and families
Banerjee I, Raskin J, Arnoux JB, De Leon DD, Weinzimer SA, Hammer M, Kendall DM, Thornton PS. Congenital hyperinsulinism in infancy and childhood: challenges, unmet needs and the perspective of patients and families. Orphanet Journal Of Rare Diseases 2022, 17: 61. PMID: 35183224, PMCID: PMC8858501, DOI: 10.1186/s13023-022-02214-y.Peer-Reviewed Original ResearchConceptsBlood glucose monitoringBetter outcomesUnmet needGlucose monitoringLimited treatment optionsLong-term developmental outcomesPerspectives of patientsCare of newbornsKey clinical challengeAdverse eventsSignificant morbidityPersistent hypoglycemiaTreatment optionsNeurological damageSpecialized careSpecialized centersCommon causeCurrent treatmentClinical challengeCongenital hyperinsulinismEarly diagnosisEffective treatmentNeurocognitive impairmentNew therapiesPatientsTechnology Utilization in Black Adolescents with Type 1 Diabetes: Exploring the Decision-Making Process
Mencher SR, Weinzimer SA, Nally LM, Van Name M, Nunez-Smith M, Sadler LS. Technology Utilization in Black Adolescents with Type 1 Diabetes: Exploring the Decision-Making Process. Diabetes Technology & Therapeutics 2022, 24: 249-257. PMID: 35085444, PMCID: PMC11074720, DOI: 10.1089/dia.2021.0413.Peer-Reviewed Original Research
2021
Lived Experience of Advanced Hybrid Closed-Loop Versus Hybrid Closed-Loop: Patient-Reported Outcomes and Perspectives
Hood KK, Laffel LM, Danne T, Nimri R, Weinzimer S, Sibayan J, Bailey RJ, Schatz D, Bratina N, Bello R, Punel A, Calhoun P, Beck RW, Bergenstal RM, Phillip M. Lived Experience of Advanced Hybrid Closed-Loop Versus Hybrid Closed-Loop: Patient-Reported Outcomes and Perspectives. Diabetes Technology & Therapeutics 2021, 23: 857-861. PMID: 34270328, PMCID: PMC9009590, DOI: 10.1089/dia.2021.0153.Peer-Reviewed Original ResearchPredictors of Time-in-Range (70–180 mg/dL) Achieved Using a Closed-Loop Control System
Schoelwer MJ, Kanapka LG, Wadwa RP, Breton MD, Ruedy KJ, Ekhlaspour L, Forlenza GP, Cobry EC, Messer LH, Cengiz E, Jost E, Carria L, Emory E, Hsu LJ, Weinzimer SA, Buckingham BA, Lal RA, Oliveri MC, Kollman CC, Dokken BB, Cherñavvsky DR, Beck RW, DeBoer MD, Gonder-Frederick L, Robic J, Voelmle M, Conschafter K, Morris K, Barnett C, Carr K, Hellmann J, Kime M, Todd Alonso G, Slover R, Berget C, Towers L, Lange S, Buckingham B, Maahs D, Lal R, Ekhlaspour L, Norlander L, Hood K, Town M, Weir C, Smith K, Hsu L, Shinksy D, Viana J, Cengiz E, Weinzimer S, Weyman K, Carria L, Zgorski M, Ruedy K, Beck R, Borgman S, Rusnak J, Kanapka L, Kollman C, Murphy C, Arreza-Rubin G, Green N, Kovatchev B, Brown S, Anderson S, Breton M, Laffel L, Pinsker J, Levy C, Kudva Y, Wadwa R, Buckingham B, Doyle III F, Renard E, Cobelli C, Reznik Y, Arreza-Rubin G, Lum J, Beck R, Ruedy K, Janicek R, Gabrielson D. Predictors of Time-in-Range (70–180 mg/dL) Achieved Using a Closed-Loop Control System. Diabetes Technology & Therapeutics 2021, 23: 475-481. PMID: 33689454, PMCID: PMC8252894, DOI: 10.1089/dia.2020.0646.Peer-Reviewed Original ResearchConceptsGlycemic controlLower TIROptimal glycemic controlType 1 diabetesPredictors of timeGreater improvementClinical characteristicsClinical predictorsFourth quartileMore insulinBody weightGlucose monitor dataExtension phaseMultivariate modelBolusStrongest predictorContinuous glucose monitor dataQuartileInsulinPredictorsChildrenParticipantsT1D.T1DDiabetesImpact of Type 1 Diabetes in the Developing Brain in Children: A Longitudinal Study.
Mauras N, Buckingham B, White NH, Tsalikian E, Weinzimer SA, Jo B, Cato A, Fox LA, Aye T, Arbelaez AM, Hershey T, Tansey M, Tamborlane W, Foland-Ross LC, Shen H, Englert K, Mazaika P, Marzelli M, Reiss AL. Impact of Type 1 Diabetes in the Developing Brain in Children: A Longitudinal Study. Diabetes Care 2021, 44: 983-992. PMID: 33568403, PMCID: PMC7985430, DOI: 10.2337/dc20-2125.Peer-Reviewed Original ResearchConceptsType 1 diabetesBrain volumeControl subjectsTotal brain volume differencesEarly-onset type 1 diabetesAge-matched control subjectsIntelligence quotientCognitive scoresWhite matter volumeBrain volume differencesContinuous glucose monitoringDiabetes groupFull-scale intelligence quotientDiabetes complicationsDiabetes controlTotal brainVerbal intelligence quotientDiabetesMatter volumeSensor glucoseCognitive testingGlucose monitoringMixed-effects modelsBrainGroup differencesExtended Use of the Control-IQ Closed-Loop Control System in Children With Type 1 Diabetes.
Kanapka LG, Wadwa RP, Breton MD, Ruedy KJ, Ekhlaspour L, Forlenza GP, Cengiz E, Schoelwer MJ, Jost E, Carria L, Emory E, Hsu LJ, Weinzimer SA, DeBoer MD, Buckingham BA, Oliveri M, Kollman C, Dokken BB, Cherñavvsky D, Beck RW. Extended Use of the Control-IQ Closed-Loop Control System in Children With Type 1 Diabetes. Diabetes Care 2021, 44: 473-478. PMID: 33355258, PMCID: PMC7818334, DOI: 10.2337/dc20-1729.Peer-Reviewed Original ResearchConceptsType 1 diabetesChildren 6Sensor-augmented pump therapyWeeks of useDiabetic ketoacidosisDays of useGlycemic controlSAP groupSevere hypoglycemiaPump therapyClinical trialsPercentage of timeCLC groupMean TIRDiabetesFurther evaluationCohortRCTsDlWeeksChildrenDaysExtended useParticipantsKetoacidosis
2020
Insulin dose optimization using an automated artificial intelligence-based decision support system in youths with type 1 diabetes
Nimri R, Battelino T, Laffel LM, Slover RH, Schatz D, Weinzimer SA, Dovc K, Danne T, Phillip M. Insulin dose optimization using an automated artificial intelligence-based decision support system in youths with type 1 diabetes. Nature Medicine 2020, 26: 1380-1384. PMID: 32908282, DOI: 10.1038/s41591-020-1045-7.Peer-Reviewed Original ResearchConceptsType 1 diabetesInsulin dose adjustmentPhysician armDose adjustmentAcademic diabetes centerInsulin pump settingsPrimary efficacy measureSevere adverse eventsTarget glucose rangeInsulin pump therapyNon-inferiority trialArtificial intelligence-based decision support systemAdverse eventsInsulin titrationDiabetes CenterEfficacy measuresPump therapyPercentage of timePercentage of readingsGlucose levelsSix monthsContinuous glucose monitoring devicesDiabetesInsulin pumpGlucose monitoring devicesA Randomized Trial of Closed-Loop Control in Children with Type 1 Diabetes
Breton MD, Kanapka LG, Beck RW, Ekhlaspour L, Forlenza GP, Cengiz E, Schoelwer M, Ruedy KJ, Jost E, Carria L, Emory E, Hsu LJ, Oliveri M, Kollman CC, Dokken BB, Weinzimer SA, DeBoer MD, Buckingham BA, Cherñavvsky D, Wadwa RP. A Randomized Trial of Closed-Loop Control in Children with Type 1 Diabetes. New England Journal Of Medicine 2020, 383: 836-845. PMID: 32846062, PMCID: PMC7920146, DOI: 10.1056/nejmoa2004736.Peer-Reviewed Original ResearchConceptsType 1 diabetesSensor-augmented insulin pumpClosed-loop groupGlucose levelsMedian percentageTarget rangeInsulin pumpInsulin deliveryParallel-group trialYears of ageContinuous glucose monitoringDiabetic ketoacidosisPrimary outcomeSevere hypoglycemiaHemoglobin levelsRandomized trialsGlycemic outcomesPercentage of timeChildren 6Control groupType 1DiabetesMean percentageGlucose monitoringTrialsEffect of Afrezza on Glucose Dynamics During HCL Treatment
Galderisi A, Cohen N, Calhoun P, Kraemer K, Breton M, Weinzimer S, Cengiz E. Effect of Afrezza on Glucose Dynamics During HCL Treatment. Diabetes Care 2020, 43: 2146-2152. PMID: 32661108, PMCID: PMC7440894, DOI: 10.2337/dc20-0091.Peer-Reviewed Original ResearchMeSH KeywordsAdministration, InhalationAdolescentAdultBlood GlucoseBlood Glucose Self-MonitoringCross-Over StudiesDiabetes Mellitus, Type 1Dose-Response Relationship, DrugEquipment and SuppliesFemaleGlycemic ControlHumansHypoglycemic AgentsInsulin Infusion SystemsInsulin, Regular, HumanMaleMealsPostprandial PeriodYoung AdultConceptsControl armPremeal bolusesPostprandial plasma glucose levelsPostprandial blood glucose controlPrimary efficacy outcomeRapid-acting insulinBlood glucose controlPlasma glucose levelsType 1 diabetesLater time pointsSequential mealsEfficacy outcomesPPG levelsSecondary outcomesGlycemic excursionsMeal studyGlucose controlSubcutaneous routeInsulin delivery systemsGlucose levelsGlucose metricsHigh doseStudy daysInsulin absorptionInsulin bolus
2019
Sotagliflozin Added to Optimized Insulin Therapy Leads to Lower Rates of Clinically Relevant Hypoglycemic Events at Any HbA1c at 52 Weeks in Adults with Type 1 Diabetes
Danne T, Pettus J, Giaccari A, Cariou B, Rodbard H, Weinzimer S, Bonnemaire M, Sawhney S, Stewart J, Wang S, de Cassia Castro R, Garg S. Sotagliflozin Added to Optimized Insulin Therapy Leads to Lower Rates of Clinically Relevant Hypoglycemic Events at Any HbA1c at 52 Weeks in Adults with Type 1 Diabetes. Diabetes Technology & Therapeutics 2019, 21: 471-477. PMID: 31335194, PMCID: PMC6708262, DOI: 10.1089/dia.2019.0157.Peer-Reviewed Original ResearchConceptsSotagliflozin 200Insulin therapyHypoglycemia eventsRate of hypoglycemiaType 1 diabetesLevel 2 hypoglycemiaLower ratesImportant hypoglycemiaHypoglycemia ratesWeek 52Adult patientsGlycemic controlHypoglycemic eventsHypoglycemic rateClinical trialsInsulin treatmentPlaceboSotagliflozinHypoglycemiaType 1Phase 3PatientsTherapyWeeksAdultsClinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range
Battelino T, Danne T, Bergenstal RM, Amiel SA, Beck R, Biester T, Bosi E, Buckingham BA, Cefalu WT, Close KL, Cobelli C, Dassau E, DeVries JH, Donaghue KC, Dovc K, Doyle FJ, Garg S, Grunberger G, Heller S, Heinemann L, Hirsch IB, Hovorka R, Jia W, Kordonouri O, Kovatchev B, Kowalski A, Laffel L, Levine B, Mayorov A, Mathieu C, Murphy HR, Nimri R, Nørgaard K, Parkin CG, Renard E, Rodbard D, Saboo B, Schatz D, Stoner K, Urakami T, Weinzimer SA, Phillip M. Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range. Diabetes Care 2019, 42: 1593-1603. PMID: 31177185, PMCID: PMC6973648, DOI: 10.2337/dci19-0028.Peer-Reviewed Original Research
2018
Psychosocial and Human Factors During a Trial of a Hybrid Closed Loop System for Type 1 Diabetes Management
Adams RN, Tanenbaum ML, Hanes SJ, Ambrosino JM, Ly TT, Maahs DM, Naranjo D, Walders-Abramson N, Weinzimer SA, Buckingham BA, Hood KK. Psychosocial and Human Factors During a Trial of a Hybrid Closed Loop System for Type 1 Diabetes Management. Diabetes Technology & Therapeutics 2018, 20: 648-653. PMID: 30239219, DOI: 10.1089/dia.2018.0174.Peer-Reviewed Original ResearchConceptsManagement distressHuman factorsTechnology attitudesGlycemic outcomesType 1 diabetes outcomesHybrid closed-loop systemPsychosocial factorsMultisite clinical trialTrial periodDistressTrial exposureFear of hypoglycemiaDiabetes careOutpatient settingDiabetes outcomesClinical trialsType 1Insulin deliveryTrialsAttitudesOutcomesT-testRegression analysisFurther investigationAdolescents