P3-009: Study Design and Characteristics of Two Phase II Proof-of-Concept Clinical Trials of the PDE9 Inhibitor BI 409306 in Early Alzheimer's Disease

2016 ◽  
Vol 12 ◽  
pp. P820-P821 ◽  
Author(s):  
Glen Wunderlich ◽  
Claus Thamer ◽  
Michael Roehrle ◽  
Miguel Garcia ◽  
Lutz Frölich ◽  
...  
Author(s):  
B. Vellas ◽  
P. Aisen ◽  
M. Weiner ◽  
J. Touchon

We are happy to publish the CTAD 2018 abstracts in the present JPAD issue. As you can see many new interesting studies are presented in this issue of the journal: from new drug trials to biomarkers, imaging studies, as well as new clinical outcomes. More specifically, we will have several hot topics presentation on: 1. Major drug trials using bace inhibitors (verubecestat, lanabecestat, atabecestat, elenbecestat…) in the early phase of the disease (APECS early trials…). Both clinical, biomarkers (MRI, CSF, PET) and safety data will be presented. 2. New data on blood biomarkers including a keynote from R. Bateman, and presentations from Araclon and Roche biomarkers. 3. Results from phase III and IIB trials including a novel and multi-targeted oligosaccharide in patients with mild-moderate AD in China; the AMBAR (Alzheimer’s Management By Albumin Replacement) study, the TOMMORROW trial: a trial to delay the onset of MCI due to AD and qualify a genetic biomarker algorithm, the 18-month STEADFAST trial of azeliragon in participants with mild Alzheimer’s Disease; a longitudinal 148-week extension 4. Results 18 from F-AV-1451-A16: a clinicopathological study of the correspondence between flortaucipir PET imaging and post-mortem assessment of tau pathology. 5. Latest developments in anti-amyloid monoclonal antibodies including aducanumab nonnegligible, and new results and data analyses of the BAN2401 study 201 in early AD. 6. New developments with safety and efficacy of lemborexant for sleep-wake regulation in patients with irregular sleep-wake rhythm disorders and Alzheimer’s Disease dementia. 7. Advances with the ABBV-8E12, a humanized anti-tau monoclonal antibody, for the treatment of early Alzheimer’s Disease. 8. Endpoints for early Alzheimer’s Disease clinical trials: interpretation and application of the draft FDA guidance. And many others… It is important to underline that a not negligible number of abstracts concern non amyloid targets (eg: Tau-related targets but also targets outside the classical AD cascade).


2014 ◽  
Vol 10 ◽  
pp. P854-P854
Author(s):  
Macarena García-Valdecasas Colell ◽  
Julie Marsh ◽  
Jan Sedway

2021 ◽  
pp. 1-8
Author(s):  
Neda Shafiee ◽  
Mahsa Dadar ◽  
Simon Ducharme ◽  
D. Louis Collins ◽  

Background: While both cognitive and magnetic resonance imaging (MRI) data has been used to predict progression in Alzheimer’s disease, heterogeneity between patients makes it challenging to predict the rate of cognitive and functional decline for individual subjects. Objective: To investigate prognostic power of MRI-based biomarkers of medial temporal lobe atrophy and macroscopic tissue change to predict cognitive decline in individual patients in clinical trials of early Alzheimer’s disease. Methods: Data used in this study included 312 patients with mild cognitive impairment from the ADNI dataset with baseline MRI, cerebrospinal fluid amyloid-β, cognitive test scores, and a minimum of two-year follow-up information available. We built a prognostic model using baseline cognitive scores and MRI-based features to determine which subjects remain stable and which functionally decline over 2 and 3-year follow-up periods. Results: Combining both sets of features yields 77%accuracy (81%sensitivity and 75%specificity) to predict cognitive decline at 2 years (74%accuracy at 3 years with 75%sensitivity and 73%specificity). When used to select trial participants, this tool yields a 3.8-fold decrease in the required sample size for a 2-year study (2.8-fold decrease for a 3-year study) for a hypothesized 25%treatment effect to reduce cognitive decline. Conclusion: When used in clinical trials for cohort enrichment, this tool could accelerate development of new treatments by significantly increasing statistical power to detect differences in cognitive decline between arms. In addition, detection of future decline can help clinicians improve patient management strategies that will slow or delay symptom progression.


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