ALTITUDE‐AD: Cost Savings Using a pTau217 Screening Assay in an Ongoing Phase 2 Study of Sabirnetug in Early Alzheimer's Disease
Bibliographic record
Abstract
BACKGROUND: Alzheimer's disease (AD) clinical trials exclude many potential participants who do not meet study criteria for amyloid pathology. In the phase 1 INTERCEPT-AD study of sabirnetug (ACU193), 60% of amyloid positron emission tomography (PET) scans at screening showed negative results based on visual reads. Because pTau217 plasma concentrations are highly predictive for AD pathology, in the ALTITUDE-AD study (NCT06335173) we measured pTau217 at screening to identify individuals likely to show amyloid burden sufficient for study inclusion when subsequently assessed by amyloid PET or cerebrospinal fluid (CSF) Ab42/40 ratio. Individuals screened out by pTau217 would avoid lumbar punctures (LP) to collect CSF and radiation exposure from PET scans. In addition, the sponsor would avoid the associated costs. METHODS: ALTITUDE-AD is an 80-week, global, randomized, double-blind, placebo-controlled phase 2 study of sabirnetug in individuals with early AD and evidence of amyloid pathology. At North American sites, screening occurred in two parts. First, blood samples were tested using the Fujirebio Lumipulse plasma pTau217 assay. Individuals with pTau217 concentrations ≥0.15 pg/mL proceeded to part two for confirmatory amyloid pathology testing. The pTau217 cut-point was chosen for enrichment purposes and was not intended as a diagnostic tool. Total cost for the 2-part screening was calculated for US and Canadian sites and compared with projected costs if the pTau217 cut-point had not been used. RESULT: Among participants screened to date, 48% had plasma pTau217 ≥0.15 pg/mL and were eligible for confirmatory amyloid pathology testing. Overall, 81% of participants with pTau217 ≥0.15 pg/mL met amyloid burden eligibility requirements based on amyloid PET or CSF Aβ42/40 testing. Total cost of the 2-part screening at US and Canadian sites was approximately US $15 million, whereas if the pTau217 assay had not been used, the total screening cost would have been approximately US $25 million. CONCLUSION: Participants tested by amyloid PET or CSF Aβ42/40 were enriched for meeting amyloid-based inclusion criteria and the screening cost was reduced by approximately US $10 million (∼40%). Additionally, the pTau217 screening strategy helped reduce the unnecessary burden of PET scans and LP procedures for potential participants.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".