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Researchers successfully integrated the National Alzheimer's Coordinating Center Uniform Data Set version 3 (NACC-UDSv3) into the Diabetes Prevention Program Outcomes Study (DPPOS), a 30-year follow-up study of adults originally enrolled to prevent type 2 diabetes. The integration involved harmonizing existing DPPOS data with NACC-UDSv3 standardized forms, implementing electronic data capture, and creating automated reports to facilitate cognitive impairment assessments. In the first wave, 1561 cognitive adjudications were completed using this integrated system.
Why it matters
This work provides a practical blueprint for incorporating standardized Alzheimer's disease and dementia assessment tools into existing longitudinal studies not originally designed for cognitive research. The approach enables data sharing with national Alzheimer's research databases and may help other cohorts align with national AD/ADRD research standards, potentially accelerating understanding of connections between metabolic conditions like diabetes and cognitive decline.
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⚠️ Preprint – Noch nicht peer-reviewed
Dieser Artikel wurde noch nicht von unabhängigen Experten begutachtet. Die Ergebnisse sind vorläufig und sollten mit Vorsicht interpretiert werden.
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.