Implementing the National Alzheimer's Coordinating Center Uniform Data Set (v3) within the Diabetes Prevention Program Outcomes Study
Doherty, L.; Dechiario, I.; Sherif, H.; Bowers, A.; Martinez, D.; Sanchez, D. L.; Febres, G. J.; Carmichael, O.; Shah, V.; Nadkarni, N. K.; Goldberg, T. E.; Noble, J. M.; Luchsinger, J. A.; Temprosa, M.; Research Group, D.
Show abstract
INTRODUCTION: The Diabetes Prevention Program (DPP) was a randomized clinical trial designed to prevent type 2 diabetes (T2D) in adults with prediabetes. The DPP Outcomes Study (DPPOS) is the 30-year follow-up of this cohort, focusing on T2D, prediabetes, and related complications. Cognitive assessments began in 2009 and expanded in 2022 to examine cognitive impairment, including Alzheimer's disease (AD) and AD related dementias (ADRD), in the surviving cohort. To support these aims, the National Alzheimer's Coordinating Center Uniform Data Set version 3 (NACC-UDSv3), the standardized framework used by Alzheimer's Disease Research Centers, was implemented in DPPOS in 2022 to enable data sharing with NACC. These forms were complemented by cognitive tests administered in DPPOS. We aimed to integrate the NACC-UDSv3 into the existing longitudinal DPPOS framework while maintaining fidelity to its structure and developing automated reports to streamline cognitive outcomes adjudication. METHODS: Items from the 16 NACC-UDSv3 data forms were compared with those already collected within DPPOS to integrate overlapping similar items, add missing NACC-UDSv3 items, and create a dataset harmonized with NACC-UDSv3. Forms were adapted for electronic data capture (EDC) using the MIDAS (Multimodal Integrated Data Acquisition System, George Washington University). Automated reports integrated current and prior neuropsychological scores to support adjudications. In the first wave of the DPPOS-AD/ADRD study, 1561 cognitive adjudications were successfully completed using the harmonized DPPOS and NACC-UDSv3 data implemented into MIDAS. DISCUSSION: The DPPOS-AD/ADRD project demonstrated that NACC-UDSv3 can be successfully integrated into a long-standing longitudinal cohort not originally designed for AD/ADRD research. The harmonization, electronic capture, and automated adjudication processes may provide a practical framework for other cohorts seeking to incorporate NACC-UDSv3 to align with national AD/ADRD research standards.
Matching journals
The top 3 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Association between motor task acquisition and hippocampal atrophy across cognitively unimpaired, amnestic Mild Cognitive Impairment, and Alzheimer’s disease individuals 94%
- Race/Ethnic Disparities in Mild Cognitive Impairment and Dementia: The Northern Manhattan Study 94%
- Affective Neuropsychiatric Symptom Metrics in the National Alzheimers Coordinating Center Dataset 94%
Similar papers in this journal
- The Healthy Brain Initiative (HBI): A prospective cohort study protocol 96%
- The Healthy Brain 9 (HB9): A New Instrument to Characterize Subjective Cognitive Decline, and Detect Anosognosia in Mild Cognitive Impairment 95%
- CohortDiagnostics: phenotype evaluation across a network of observational data sources using population-level characterization 95%
Similar papers in this journal
- Screening for early-stage Alzheimer's disease using optimized feature sets and machine learning 96%
- Examining a Preclinical Alzheimer’s Cognitive Composite for Telehealth Administration, the tPACC, for Reliability between In-Person and Remote Cognitive Testing with Neuroimaging Biomarkers 95%
- Acceptability and preliminary effectiveness of a remote dementia educational training among healthcare professionals 94%
Similar papers in this journal
- Returning Research Results That Indicate Risk of Alzheimer Disease Dementia to Healthy Participants in Longitudinal Studies (WeSHARE) 96%
- The New Therapeutics in Alzheimer’s Disease Longitudinal Cohort study (NTAD): study protocol 95%
- Optimising activity and diet compositions for dementia prevention: Protocol for the ACTIVate prospective longitudinal cohort study 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.