The European Prevention of Alzheimer's Dementia Programme: An Innovative Medicines Initiative-funded partnership to facilitate secondary prevention of Alzheimer's disease dementia

Rescreening on RBANS Delayed Memory Index? Forget About It!

OBJECTIVE

To assess the value of rescreening patients with Alzheimer's disease who do not meet the inclusion criteria for the Repeatable Battery for the Assessment of Neuropsychological Status Delayed Memory Index (RBANS DMI) at the initial assessment.

PATIENTS AND METHODS

Participants (aged 50-85 years, without dementia, Mini-Mental State Examination score ≥22, valid Clinical Dementia Rating [CDR] global score, and amyloid status at baseline) were identified in the European Prevention of Alzheimer's Dementia database. Changes from baseline in RBANS DMI were estimated using a mixed model for repeated measurements. Logistic regressions were used to estimate the probability of participants with baseline RBANS DMI 86-95 having RBANS DMI ≤85, CDR global score ≥0.5, and amyloid positivity at 6 and 12 months.

RESULTS

There was significant variability in the change in RBANS DMI scores over time (median change at 6 months: 2.0). An estimated 15% of participants with RBANS DMI 86-95 at baseline progressed to ≤85 at 6 months; 8% also achieved CDR global score ≥0.5 and 5% were also amyloid positive.

CONCLUSIONS

The results from our analysis indicate that there is limited value in rescreening patients based on their initial RBANS DMI score.

Data sharing in neurodegenerative disease research: challenges and learnings from the innovative medicines initiative public-private partnership model

Efficient data sharing is hampered by an array of organizational, ethical, behavioral, and technical challenges, slowing research progress and reducing the utility of data generated by clinical research studies on neurodegenerative diseases. There is a particular need to address differences between public and private sector environments for research and data sharing, which have varying standards, expectations, motivations, and interests. The Neuronet data sharing Working Group was set up to understand the existing barriers to data sharing in public-private partnership projects, and to provide guidance to overcome these barriers, by convening data sharing experts from diverse projects in the IMI neurodegeneration portfolio. In this policy and practice review, we outline the challenges and learnings of the WG, providing the neurodegeneration community with examples of good practices and recommendations on how to overcome obstacles to data sharing. These obstacles span organizational issues linked to the unique structure of cross-sectoral, collaborative research initiatives, to technical issues that affect the storage, structure and annotations of individual datasets. We also identify sociotechnical hurdles, such as academic recognition and reward systems that disincentivise data sharing, and legal challenges linked to heightened perceptions of data privacy risk, compounded by a lack of clear guidance on GDPR compliance mechanisms for public-private research. Focusing on real-world, neuroimaging and digital biomarker data, we highlight particular challenges and learnings for data sharing, such as data management planning, development of ethical codes of conduct, and harmonization of protocols and curation processes. Cross-cutting solutions and enablers include the principles of transparency, standardization and co-design - from open, accessible metadata catalogs that enhance findability of data, to measures that increase visibility and trust in data reuse.