Search Results

Abstract: Remote Patient Monitoring in Youth with Type 1 Diabetes (T1D) Predicted to Experience a Rise in A1C%: Comparison to a Clinic-derived, Propensity Score-matched Controls

D. Williams1, D. Ferro2, E. Dewit2, B. Lockee2, M. Barnes2, S. Carrothers2, C. Vandervelden2, S. Patton3, R. Mcdonough2, L. D’Avolio4, M. Clements2 1Children’s Mercy, Pediatrics, Kansas City, United States...

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: 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: 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, Pediatrics, Kansas City, United States of America, 2Children’s Mercy, Pediatric Endocrinology, Kansas City, United States of...

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: 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: 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: Time from Type 1 Diabetes (T1D) Diagnosis to Clinic-Connected CGM Data is Improving

R. McDonough1,2, S. Tsai1,2, M. Barnes1, C. Vandervelde1, D. Zaharieva3, A. Addala3, S. Patton4, M. Clements1,2 1Children’s Mercy - Kansas City, Kansas City, United States, 2University of Missouri - Kansas...

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: Baseline quality improvement culture assessment for centers participating in the T1D Exchange QI Collaborative

Ann Mungmode1; Kristina Cossen2; J. Sonya Haw3; Grace Nelson4; Priyanka Mathias5; Nicole Rioles1; Donna Eng6; Ori Odugbesan1; Meredith Wilkes7; Mark Clements8; Sarah D. Corathers9; G. Todd Alonso10; Osagie...

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: 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: 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: 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