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Abstract: Active & Passive Sharing of Diabetes Device Data to Clinics is Associated with Reduced A1C and Decreased DKA Rates
R. Mcdonough1,2, D. Ferro1,2, B. Lockee2, M. Clements1,2 1Children’s Mercy Kansas City, Pediatrics, Kansas City, United States of America, 2Children’s Mercy Kansas City, Pediatric Endocrinology, Kansas...
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: Risk Factors for Hyperglycemic and Hyperketotic Emergencies in COVID+ Youth with Type 1 Diabetes (T1D)
Sarah Tsai, Erin M. Tallon, Diana Ferro, Erica Zarse, David D. Williams, Chi Ren Shyu, Mark A. Clements Recent studies report increased frequency of hyperglycemic and hyperketotic emergencies in youth with...
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: 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: 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: Towards a Diabetes Rapid Learning Lab: Creation of a “D-Data Dock” to Integrate Diverse Data Sources and Facilitate Rapid Insights from the Deployment of Novel Interventions
B. Lockee1, C. Vandervelden1, M. Barnes1, S. Patton2, R. McDonough1, M. Clements1 1Children's Mercy Kansas City, Endocrinology, Kansas City, United States, 2Nemours Children's Health, Center for...
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: 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: 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: 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: 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...
Abstract: Towards Risk-based Management of Type 1 Diabetes (T1D): Developing a Population Health Dashboard Based on Performing Diabetes Self-Management Habits
Craig Vandervelden; Brent Lockee; Susana R. Patton; Ryan McDonough; Joyce M Lee; Mark Clements Children's Mercy Hospitals Kansas City, Missouri, USA cavandervedlen@cmh.edu Background/Objectives: Recent...
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: 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: Examining the Glycemia Risk Index and Its Association with Continuous Glucose Monitor (CGM)-Derived Glycemic Risk Categories in Patients with Type 1 Diabetes
J. Litwin1, B. Lockee1, C. Vandervelden1, M. Barnes1, R. Mcdonough2, S. Patton3, D. Williams4, K. Noland1,M. Clements5 1Children’s Mercy Hospital, Endocrinology, Kansas City, United States of America...