Rising T1DE Alliance: Evidence

Our research

Abstract: Remote Patient Monitoring For Youth With Type 1 Diabetes (T1D) Predicted To Experience A Rise In Hemoglobin A1C (A1c)

Abstract: Schema And Data Validation Of T1D Exchange Mapped Data Using Pandera Framework

Abstract: Implementation Of A Transition Readiness Assessment And Transition Discussion Documentation In A Type 1 Diabetes Clinic

Abstract: Implication Of Device Disengagement On Glycemic Control And Diabetic Ketoacidosis In Youth With T1D

Abstract: Artificial Intelligence and Disparities In Pediatric Type 1 Diabetes Care: Predictive Model Performance Varies By Age And Sex

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

Abstract: Comparative performance of a recurrent neural network (RNN) and logistic regression (LR) model to predict diabetic ketoacidosis (DKA) among youth with established type 1 diabetes (T1D)

Abstract: Effect of remote patient monitoring on subsequent three-month hemoglobin A1c (HbA1c) in youths and young adults with type 1 diabetes (T1D) with suboptimal glycemic outcomes

Abstract: Understanding facilitators and barriers to clinic-wide implementation of a population-based tool to identify patients with type 1 diabetes (T1D) at high risk for suboptimal glycemic outcomes

Abstract: Standardizing Interactive Diabetes Education to Improve Transition Processes for Teens and Young Adults with Type 1 Diabetes

Abstract: The Glycemia Risk Index Predicts Type 1 Diabetes Self-management Habits in Youth

Abstract: Performance of a Clinic-deployed Model to Predict Diabetic Ketoacidosis (DKA) Risk in Type 1 Diabetes (T1D)

Abstract: Assessment of the glycemia risk index as metric for evaluating quality of glycemia in youths with type 1 diabetes

Abstract: Improved Outcomes Among Children with New-Onset Type 1 Diabetes via the 4T Program

Abstract: Exploring Motivation Behind Engagement in Mealtime Bolus Behavior in Adolescents with Type 1 Diabetes (T1D): A Behavioral Economics Approach

Abstract: The Glycemia Risk Index Correlates with Hemoglobin A1C in Youth with Type 1 Diabetes and Is Elevated in Individuals Who Experienced Diabetic Ketoacidosis

Abstract: Impact of Moving to a New Neighborhood and Child Opportunity Index 2.0 (COI) on Near Term Hemoglobin A1c (A1c) in Youth with Type 1 Diabetes (T1D)

Abstract: Associations Between the Child Opportunity Index 2.0 (COI) and Hemoglobin A1c (A1c) During the First Year Following a Diagnosis with Type 1 Diabetes (T1D)

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

Abstract: Shorter follow-up between diagnosis of type 1 diabetes (T1D) to next encounter associates with improved glycemic outcomes

Abstract: Remedy to Diabetes Distress (R2D2)—Identify the Relationship between HbA1c, Socioeconomic Status (SES), and Diabetes Distress (DD)

Abstract: Use of a Relational Agent Smart Phone App Aims to Improve Time in Range (TIR) for Youth with Type 1 Diabetes (T1D)

Abstract: Outcomes of Health-Related Social Needs Screening in a Midwest Pediatric Diabetes Clinic Network

Abstract: Examining the Glycemia Risk Index and Its Association with Continuous Glucose Monitor (CGM)-Derived Glycemic Risk Categories in Patients with Type 1 Diabetes

Abstract: Examining the Glycemia Risk Index (GRI) as a Risk Biomarker for Elevated hemoglobin A1c in Individuals with Type 1 Diabetes (T1D)

Abstract: Predicting 90-Day Change in HBA1C with an “Explainable AI” Machine Learning Model Deployed in Clinic

Abstract: Predicting and Ranking DKA Risk with a Transferrable Machine Learning Model Deployed in Clinic

Abstract: Utilization of a CGM-Based Dashboard to Prioritize Distinct Cohorts of Youth with Type 1 Diabetes

Abstract: Creation of a Diabetes Data Dock to Integrate, Improve, and Analyze Diverse Data Sources and Facilitate Continuous Learning and Improvement

Abstract: Towards Risk-based Management of Type 1 Diabetes (T1D): Developing a Population Health Dashboard Based on Performing Diabetes Self-Management Habits

Abstract: Addressing Social Determinants of Health in an Ambulatory Pediatric Diabetes Clinic; Examining Data by Race and Ethnicity

Abstract: Utilization of a CGM-based Dashboard to Identify At-Risk Patients with Type 1 Diabetes (T1D)

Abstract: Found in Translation: Transforming Rules-Based Diabetes Phenotyping Algorithms into Reproducible Diabetes Cohorts from Real-World Data

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

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)

Abstract: Precision geocoding in a multifunctional diabetes data integration system to support predictive modeling and population health analytics

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

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

Abstract: Preparing for Risk-based Management of Type 1 Diabetes (T1D): Integrating Biomarkers of Performing Diabetes Self-management Habits into a Population Health Dashboard

Abstract: Risk Factors for Hyperglycemic and Hyperketotic Emergencies in COVID+ Youth with Type 1 Diabetes (T1D)

Abstract: Active & Passive Sharing of Diabetes Device Data to Clinics is Associated with Reduced A1C and Decreased DKA Rates

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

Abstract: Diabetes Device Data in Virtual Clinic Visits: A New Health Disparity?

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

Abstract: Disengagement from advanced technologies in pediatric type 1 diabetes: implications for glycemic control and DKA risk

Abstract: Factors associated with hospitalization in youths and young adults with type 1 diabetes and COVID-19 infection

Abstract: Factors associated with hospitalization in youths and young adults with type 2 diabetes and COVID-19 infection

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

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)

Abstract: Bioinformatic Evaluation of Continuous Glucose Monitoring (CGM) Engagement and Disengagement Durations in Relation to the Child Opportunity Index 2.0 in Youth with Type 1 Diabetes (T1D)

Abstract: Evaluation of Child Opportunity Index 2.0 as a Predictor for Hemoglobin A1c in Youth with Type 1 Diabetes

Abstract: Bioinformatic Evaluation of the Child Opportunity Index 2.0 and Other Sociodemographic Factors as Predictors of Diabetes Clinic Appointment Completion in Youth with Type 1 Diabetes

Abstract: Impact of Moderate-to-vigorous Physical Activity on Continuous Glucose Monitor-derived Metrics in Youth with Type 1 Diabetes

Abstract: Enhanced Classification of Diabetes Status and Type Using Structured Data from Nationwide U.S. Electronic Health Records: A High-Throughput Approach

Abstract: Youth with Type 1 Diabetes (T1D) Improve Time in Range by Use of a Relational Agent Embedded in a Smart Phone App

Abstract: Hemoglobin A1c Trajectories Following Diagnosis of Type 1 Diabetes (T1D) in a Cohort of Children from Canada and the U.S.

Conference Sessions

Closed-loop, artificial intelligence-based decision support systems and data science

Invited Speaker at the ATTD Yearbook Session at ATTD 2024 (17th International Conference on Advanced Technologies & Treatments for Diabetes)

Florence, Italy

Clements, M

Using digital health technology to prevent and treat diabetes

Invited Speaker at the ATTD Yearbook Session at ATTD 2024 (17th International Conference on Advanced Technologies & Treatments for Diabetes)

Florence, Italy

Clements, M

Just in time adaptive interventions: The new technology to "hack" diabetes self-management behavior

Panel Session ("Self Management of Diabetes" at ATTD 2024 (17th International Conference on Advanced Technologies & Treatments for Diabetes)

Florence, Italy

Clements, M

A high-throughput approach for augmenting rule-based classification of diabetes status and type using Oracle EHR Real-World Data

Panel Session ("Aggregate De-identified EHR Data – Research Using Resources from Two Major EHR Vendors") at AMIA 2023 Annual Symposium

New Orleans, LA, USA

Tallon, EM

Population health management in the digital diabetes era

Invited Speaker Session ("Remote Treatment of Diabetes") at ATTD 2023 (16th International Conference on Advanced Technologies & Treatments for Diabetes)

Berlin, Germany

Clements, M

Deep learning to predict diabetes outcomes

Invited Speaker Session ("Data Science in Diabetes") at ATTD 2023 (16th International Conference on Advanced Technologies & Treatments for Diabetes)

Berlin, Germany

Clements M

Manuscripts and Papers

An “all-data-on-hand” deep learning model to predict hospitalization for diabetic ketoacidosis in youth with Type 1 diabetes: Development and validation study

JMIR Diabetes Volume 8:e47592

Authors: Williams DD, Ferro D, Mullaney C, Skrabonja L, Barnes MS, Patton SR, Lockee B, Tallon EM, Vandervelden CA, Schweisberger C, Mehta S, McDonough R, Lind M, D’Avolio L, Clements MA

https://doi.org/10.2196/47592

Mealtime Insulin BOLUS Score More Strongly Predicts HbA1c Than the Self-Care Inventory in Youth With Type 1 Diabetes

Journal of Diabetes Science and Technology

Authors: Christie J, Clements MA, Williams DD, Cernich J, Patton SR

https://doi.org/10.1177/19322968231192979

Diabetes status and other factors as correlates of risk for thrombotic and thromboembolic events during SARS-CoV-2 infection: A nationwide retrospective case-control study using Cerner Real-World Data™

BMJ Open Volume 13(7)

Authors: Tallon EM, Gallagher MP, Staggs VS, Ferro D, Murthy DB, Ebekozien O, Kosiborod MN, Lind M, Manrique-Acevedo C, Shyu CR, Clements MA

https://doi.org/10.1136/bmjopen-2022-071475

Impact of diabetes status and related factors on COVID-19-associated hospitalization: A nationwide retrospective cohort study of 116,370 adults with SARS-CoV-2 infection

Diabetes Research and Clinical Practice Volume 194:110156

Authors: Tallon EM, Ebekozien O, Sanchez J, Staggs V, Ferro D, McDonough R, Demeterco-Berggren C, Polsky S, Gomez P, Patel N, Prahalad P, Odugbesan O, Mathias P, Lee JM, Smith C, Shyu CR, Clements MA

https://doi.org/10.1016/j.diabres.2022.110156

Rising T1DE Alliance: Evidence

Our research

Abstract: Remote Patient Monitoring For Youth With Type 1 Diabetes (T1D) Predicted To Experience A Rise In Hemoglobin A1C (A1c)

Abstract: Schema And Data Validation Of T1D Exchange Mapped Data Using Pandera Framework

Abstract: Implementation Of A Transition Readiness Assessment And Transition Discussion Documentation In A Type 1 Diabetes Clinic

Abstract: Implication Of Device Disengagement On Glycemic Control And Diabetic Ketoacidosis In Youth With T1D

Abstract: Artificial Intelligence and Disparities In Pediatric Type 1 Diabetes Care: Predictive Model Performance Varies By Age And Sex

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

Abstract: Comparative performance of a recurrent neural network (RNN) and logistic regression (LR) model to predict diabetic ketoacidosis (DKA) among youth with established type 1 diabetes (T1D)

Abstract: Effect of remote patient monitoring on subsequent three-month hemoglobin A1c (HbA1c) in youths and young adults with type 1 diabetes (T1D) with suboptimal glycemic outcomes

Abstract: Understanding facilitators and barriers to clinic-wide implementation of a population-based tool to identify patients with type 1 diabetes (T1D) at high risk for suboptimal glycemic outcomes

Abstract: Standardizing Interactive Diabetes Education to Improve Transition Processes for Teens and Young Adults with Type 1 Diabetes

Abstract: The Glycemia Risk Index Predicts Type 1 Diabetes Self-management Habits in Youth

Abstract: Performance of a Clinic-deployed Model to Predict Diabetic Ketoacidosis (DKA) Risk in Type 1 Diabetes (T1D)

Abstract: Assessment of the glycemia risk index as metric for evaluating quality of glycemia in youths with type 1 diabetes

Abstract: Improved Outcomes Among Children with New-Onset Type 1 Diabetes via the 4T Program

Abstract: Exploring Motivation Behind Engagement in Mealtime Bolus Behavior in Adolescents with Type 1 Diabetes (T1D): A Behavioral Economics Approach

Abstract: The Glycemia Risk Index Correlates with Hemoglobin A1C in Youth with Type 1 Diabetes and Is Elevated in Individuals Who Experienced Diabetic Ketoacidosis

Abstract: Impact of Moving to a New Neighborhood and Child Opportunity Index 2.0 (COI) on Near Term Hemoglobin A1c (A1c) in Youth with Type 1 Diabetes (T1D)

Abstract: Associations Between the Child Opportunity Index 2.0 (COI) and Hemoglobin A1c (A1c) During the First Year Following a Diagnosis with Type 1 Diabetes (T1D)

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

Abstract: Shorter follow-up between diagnosis of type 1 diabetes (T1D) to next encounter associates with improved glycemic outcomes

Abstract: Remedy to Diabetes Distress (R2D2)—Identify the Relationship between HbA1c, Socioeconomic Status (SES), and Diabetes Distress (DD)

Abstract: Use of a Relational Agent Smart Phone App Aims to Improve Time in Range (TIR) for Youth with Type 1 Diabetes (T1D)

Abstract: Outcomes of Health-Related Social Needs Screening in a Midwest Pediatric Diabetes Clinic Network

Abstract: Examining the Glycemia Risk Index and Its Association with Continuous Glucose Monitor (CGM)-Derived Glycemic Risk Categories in Patients with Type 1 Diabetes

Abstract: Examining the Glycemia Risk Index (GRI) as a Risk Biomarker for Elevated hemoglobin A1c in Individuals with Type 1 Diabetes (T1D)

Abstract: Predicting 90-Day Change in HBA1C with an “Explainable AI” Machine Learning Model Deployed in Clinic

Abstract: Predicting and Ranking DKA Risk with a Transferrable Machine Learning Model Deployed in Clinic

Abstract: Utilization of a CGM-Based Dashboard to Prioritize Distinct Cohorts of Youth with Type 1 Diabetes

Abstract: Creation of a Diabetes Data Dock to Integrate, Improve, and Analyze Diverse Data Sources and Facilitate Continuous Learning and Improvement

Abstract: Towards Risk-based Management of Type 1 Diabetes (T1D): Developing a Population Health Dashboard Based on Performing Diabetes Self-Management Habits

Abstract: Addressing Social Determinants of Health in an Ambulatory Pediatric Diabetes Clinic; Examining Data by Race and Ethnicity

Abstract: Utilization of a CGM-based Dashboard to Identify At-Risk Patients with Type 1 Diabetes (T1D)

Abstract: Found in Translation: Transforming Rules-Based Diabetes Phenotyping Algorithms into Reproducible Diabetes Cohorts from Real-World Data

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

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)

Abstract: Precision geocoding in a multifunctional diabetes data integration system to support predictive modeling and population health analytics

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

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

Abstract: Preparing for Risk-based Management of Type 1 Diabetes (T1D): Integrating Biomarkers of Performing Diabetes Self-management Habits into a Population Health Dashboard

Abstract: Risk Factors for Hyperglycemic and Hyperketotic Emergencies in COVID+ Youth with Type 1 Diabetes (T1D)

Abstract: Active & Passive Sharing of Diabetes Device Data to Clinics is Associated with Reduced A1C and Decreased DKA Rates

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

Abstract: Diabetes Device Data in Virtual Clinic Visits: A New Health Disparity?

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

Abstract: Disengagement from advanced technologies in pediatric type 1 diabetes: implications for glycemic control and DKA risk

Abstract: Factors associated with hospitalization in youths and young adults with type 1 diabetes and COVID-19 infection

Abstract: Factors associated with hospitalization in youths and young adults with type 2 diabetes and COVID-19 infection

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

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)

Abstract: Bioinformatic Evaluation of Continuous Glucose Monitoring (CGM) Engagement and Disengagement Durations in Relation to the Child Opportunity Index 2.0 in Youth with Type 1 Diabetes (T1D)

Abstract: Evaluation of Child Opportunity Index 2.0 as a Predictor for Hemoglobin A1c in Youth with Type 1 Diabetes

Abstract: Bioinformatic Evaluation of the Child Opportunity Index 2.0 and Other Sociodemographic Factors as Predictors of Diabetes Clinic Appointment Completion in Youth with Type 1 Diabetes

Abstract: Impact of Moderate-to-vigorous Physical Activity on Continuous Glucose Monitor-derived Metrics in Youth with Type 1 Diabetes

Abstract: Enhanced Classification of Diabetes Status and Type Using Structured Data from Nationwide U.S. Electronic Health Records: A High-Throughput Approach

Abstract: Youth with Type 1 Diabetes (T1D) Improve Time in Range by Use of a Relational Agent Embedded in a Smart Phone App

Abstract: Hemoglobin A1c Trajectories Following Diagnosis of Type 1 Diabetes (T1D) in a Cohort of Children from Canada and the U.S.

Conference Sessions

Manuscripts and Papers

Other Presentations

Built for kids.™