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 ResearchConceptsInsulin delivery technologiesGlycemic goalsNear-normal glucose levelsLong-term complicationsReal-world studyHypoglycemia riskDiabetes QualityConsensus recommendationsGlucose levelsGlobal prevalenceDiabetes managementEligibility criteriaClinical practiceDelivery technologiesHealthcare providersClinical settingDiabetesInsurance coverageSignificant proportionCliniciansAid successPWDPayersComplicationsTremendous advances
2016
Automated hybrid closed‐loop control with a proportional‐integral‐derivative based system in adolescents and adults with type 1 diabetes: individualizing settings for optimal performance
Ly TT, Weinzimer SA, Maahs DM, Sherr JL, Roy A, Grosman B, Cantwell M, Kurtz N, Carria L, Messer L, von Eyben R, Buckingham BA. Automated hybrid closed‐loop control with a proportional‐integral‐derivative based system in adolescents and adults with type 1 diabetes: individualizing settings for optimal performance. Pediatric Diabetes 2016, 18: 348-355. PMID: 27191182, DOI: 10.1111/pedi.12399.Peer-Reviewed Original ResearchMeSH KeywordsActivities of Daily LivingAdolescentAdolescent BehaviorAdultAlgorithmsBlood GlucoseBlood Glucose Self-MonitoringCalibrationCohort StudiesDiabetes Mellitus, Type 1Drug Dosage CalculationsDrug MonitoringGlucoseHumansHyperglycemiaHypoglycemiaHypoglycemic AgentsInsulinPancreas, ArtificialPrecision MedicineSubcutaneous TissueYoung AdultConceptsType 1 diabetesAdolescent cohortAdult cohortHybrid closed-loop systemPump therapyPercentage of timeGlucose valuesSensor-augmented pump therapyOverall glucose controlInsulin pump therapyOverall mean percentageDose insulinGlucose controlPreliminary safetyInsulin delivery systemsInitial cohortHybrid closed-loop controlClinical practiceSecond cohortCohortMean percentageTarget rangeOverall percentageDiabetesAdults
2004
Diabetes Mellitus in Children and Adolescents
Weinzimer S, Tamborlane W. Diabetes Mellitus in Children and Adolescents. 2004 DOI: 10.1002/0470862092.d0809.Peer-Reviewed Original ResearchDiabetes mellitusNormal glucose controlRoutine clinical practiceSpecific clinical presentationType 2 diabetesType 1 diabetesQuality of lifeOutpatient managementClinical presentationTreatment algorithmGlucose controlDifferential diagnosisClinical practiceMellitusDiabetesInsulin deliveryPresent unique challengesChildrenArtificial pancreasDiagnosisTreatmentUnique challengesPancreasPrevalenceClinicians