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Abstract: Disengagement from advanced technologies in pediatric type 1 diabetes: implications for glycemic control and DKA risk
D. Ferro1, D. Williams1, N. Karwal1, M. Rodrigues1, C. Mullaney2, L. Skrabonja2, B. Lockee1, E. Dewit1, J. Redel1, M. Clements1, R. McDonough1 1Children's Mercy Hospital, Endocrinology, Kansas City...
Abstract: Diabetes Device Data in Virtual Clinic Visits: A New Health Disparity?
R. Mcdonough1,2, D. Ferro1,2, B. Lockee1,2, M. Clements1,2 1Children's Mercy Kansas City, Pediatrics, Kansas City, United States of America, 2Children's Mercy Kansas City, Pediatric Endocrinology...
Abstract: Comparative Performance of a Recurrent Neural Network (RNN) and Logistic Regression (LR) Model to Predict Diabetic Ketoacidosis (DKA) among Youth Postdiagnosis with Type 1 Diabetes (T1D)
David D. Williams, Sarina Dass, Jonathon Bass, Susana R. Patton, Sanjeev N. Mehta, Ryan McDonough, Colin Mullaney, Leonard Davolio, Mark A. Clements. Preventing dangerous and costly episodes of DKA is a...
Abstract: Factors associated with hospitalization in youths and young adults with type 1 diabetes and COVID-19 infection
E. Tallon1, O. Ebekozien2,3, J. Sanchez4, V. Staggs5,6, D. Ferro5, C.-R. Shyu1, M. Clements5 1University of Missouri-Columbia, Institute for Data Science and Informatics, Columbia, USA, 2T1D Exchange...
Abstract: Factors associated with hospitalization in youths and young adults with type 2 diabetes and COVID-19 infection
E. Tallon1, O. Ebekozien2,3, J. Sanchez4, V. Staggs5,6, D. Ferro5, C.-R. Shyu1, M. Clements5 1University of Missouri-Columbia, Institute for Data Science and Informatics, Columbia, USA, 2T1D Exchange...
Abstract: Direct-to-Consumer telehealth to support youth with type 1 diabetes (T1D) predicted to experience a rise in hemoglobin A1c (A1C): A pragmatic trial
E. Dewit1, D. Williams1, S. Patton2, C. Mullaney3, D. Ferro1,K. Noland1, L. Skrabonja3, B. Spartz1, R. Elliott1, R. Kenyon1,R. Mcdonough1, S. Mehta4, L. D’Avolio3, M. Clements1 1Children’s Mercy Kansas...
Abstract: Use of a Relational Agent Smart Phone App Aims to Improve Time in Range (TIR) for Youth with Type 1 Diabetes (T1D)
Sophie MacColl, Britaney Spartz, Emily L. DeWit, Brent Lockee, David D. Williams, Mitchell S. Barnes, Mark A. Clements Background: Youth with T1D struggle to achieve blood glucose (BG) TIR targets.
Abstract: Addressing Social Determinants of Health in an Ambulatory Pediatric Diabetes Clinic; Examining Data by Race and Ethnicity
Emily DeWit, Brent Lockee, Mitchell Barnes, Katelyn Evans, Mark Clements, Kelsee Halpin, Shilpi Relan Children's Mercy Kansas City Kansas City, Missouri, USA eldewit@cmh.edu Background/Objective: The...
Abstract: A machine learning model accurately predicts an overrepresentation of African American (AA) youth with type 1 diabetes (T1D) among hospital admissions for diabetes ketoacidosis (DKA
S. Carrothers1, C. Vandervelden1, B. Lockee1, S. Patton2, R. McDonough1,3, E. DeWit1, M. Clements1,3 1Children's Mercy Hospital, Kansas City, United States, 2Nemours Children's Health, Jacksonville...
Abstract: Utilization of a CGM-based Dashboard to Identify At-Risk Patients with Type 1 Diabetes (T1D)
Katie Noland1; Britaney Spartz1; Emily DeWit1, Mark Clements1; Rachel Dixon1; Jaimie Contreras1; Gayla Kutzli1; Andie Kaminsky1; Katelyn Evans1; Jude El Buri1 1Children's Mercy Kansas City Kansas City...
Abstract: Predicting 90-Day Change in HBA1C with an “Explainable AI” Machine Learning Model Deployed in Clinic
C. Vandervelden1, B. Lockee1, M. Barnes1, E. Tallon2, D. Williams3, K. Noland1, R. Mcdonough1, S. Patton4, E. Dewit1, M. Clements1 1Children’s Mercy Hospital, Endocrinology, Kansas City, United States of...
Abstract: Preparing for Risk-based Management of Type 1 Diabetes (T1D): Integrating Biomarkers of Performing Diabetes Self-management Habits into a Population Health Dashboard
C. Vandervelden1, B. Lockee1, S. Carrothers1, S.R. Patton2, R. McDonough1, J.M. Lee3,4, M. Clements1 1Children's Mercy Hospital, Endocrinology, Kansas City, United States, 2Nemours Children's...
Abstract: Precision geocoding in a multifunctional diabetes data integration system to support predictive modeling and population health analytics
M. Barnes1, M. Clements1,2 1Children's Mercy Kansas City, Pediatrics, Kansas City, United States, 2University of Missouri-Kansas City School of Medicine, Pediatrics, Kansas City, United States...
Abstract: Impact of the COVID-19 Pandemic on Disengagement from Advanced Diabetes Technologies Among Racial/Ethnic Groups in the US T1D Exchange Quality Improvement Collaborative
S. Carrothers1, B. Lockee1, D. Williams1, E. DeWit1, R. McDonough1, N. Noor2, T. Alonso3, H. Akturk4, D.J. DeSalvo5, M. Kamboj6, L. Jacobsen7, M.L Scott8, A. Mungmode2, O. Ebekozien2, M. Clements1...
Abstract: Utilization of a CGM-Based Dashboard to Prioritize Distinct Cohorts of Youth with Type 1 Diabetes
B. Spartz1, K. Noland2, E. Dewit3, B. Lockee2, M. Clements3 1Children’s Mercy Hospital, Endocrinology, Kansas City, United States of America, 2Children’s Mercy Hospital, Endocrinology, KANSAS CITY, United...
Abstract: Disengagement from advanced diabetes technologies during the COVID-19 pandemic associates with worse short-term outcomes in the US T1D exchange quality improvement collaborative
C. Vandervelden1, M. Barnes1, E. DeWit1, D. Williams1, R. McDonough1, N. Noor2, R. Izquierdo3, M. Greenfield4, C. Demeterco Berggren5, A. Roberts6, H. Hardison2, O. Ebekozien2, M. Clements1 11 Children'...
Abstract: Creation of a Diabetes Data Dock to Integrate, Improve, and Analyze Diverse Data Sources and Facilitate Continuous Learning and Improvement
Brent Lockee; Mitchell Barnes; Craig Vandervelden; Emily DeWit; Mark C. Clements Children's Mercy Kansas City Kansas City, Missouri, USAbclockee@cmh.edu Background/Objective: Many diabetes centers...
Abstract: Examining the Glycemia Risk Index (GRI) as a Risk Biomarker for Elevated hemoglobin A1c in Individuals with Type 1 Diabetes (T1D)
B. Lockee1, J. Litwin1, C. Vandervelden1, D. Williams2, M. Barnes1, R. Mcdonough3, S. Patton4, K. Noland1, M. Clements5 1Children’s Mercy Hospital, Endocrinology, Kansas City, United States of America...
Abstract: Remedy to Diabetes Distress (R2D2)—Identify the Relationship between HbA1c, Socioeconomic Status (SES), and Diabetes Distress (DD)
Rhiannon Pomerantz, David D. Williams, Hung-Wen Yeh, Mark A. Clements, Susana R. Patton Objective: DD among school-age children with Type 1 Diabetes (T1D) and their parents is associated with suboptimal...
Abstract: Predicting and Ranking DKA Risk with a Transferrable Machine Learning Model Deployed in Clinic
C. Vandervelden1, B. Lockee1, M. Barnes1, E. Tallon2, K. Noland1, D. Williams3, R. Mcdonough1, S. Patton4, E. Dewit1, M. Clements1 1Children’s Mercy Hospital, Endocrinology, Kansas City, United States of...