2022
Feasibility and Preliminary Safety of Smartphone-Based Automated Insulin Delivery in Adolescents and Children With Type 1 Diabetes
Deshpande S, Weinzimer SA, Gibbons K, Nally LM, Weyman K, Carria L, Zgorski M, Laffel LM, Doyle FJ, Dassau E. Feasibility and Preliminary Safety of Smartphone-Based Automated Insulin Delivery in Adolescents and Children With Type 1 Diabetes. Journal Of Diabetes Science And Technology 2022, 18: 363-371. PMID: 35971681, PMCID: PMC10973844, DOI: 10.1177/19322968221116384.Peer-Reviewed Original ResearchType 1 diabetesUnannounced exercisePercent timeGlucose standard deviationParents/guardiansSecondary outcomesAdverse eventsPrimary outcomeBlood glucose dataPump therapyPreliminary safetyAutomated Insulin DeliveryContinuous glucose monitoring dataPediatric participantsGlucose monitoring dataAge-based cohortsArtificial pancreas systemsLarge mealsInsulin deliveryGlucose dataYoung childrenDiabetesYounger cohortsChildrenCohortCongenital 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 therapiesPatients
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 devices