A blood-based biomarker workflow for optimal tau-PET referral in memory clinic settings.
Wagner S BrumNicholas C CullenJoseph TherriaultShorena JanelidzeNesrine RahmouniJenna StevensonStijn ServaesAndrea L BenedetEduardo R ZimmerErik StomrudSebastian PalmqvistHenrik ZetterbergGiovanni B FrisoniNicholas J AshtonKaj BlennowNiklas Mattsson-CarlgrenPedro Rosa-NetoOskar HanssonPublished in: Nature communications (2024)
Blood-based biomarkers for screening may guide tau positrion emissition tomography (PET) scan referrals to optimize prognostic evaluation in Alzheimer's disease. Plasma Aβ42/Aβ40, pTau181, pTau217, pTau231, NfL, and GFAP were measured along with tau-PET in memory clinic patients with subjective cognitive decline, mild cognitive impairment or dementia, in the Swedish BioFINDER-2 study (n = 548) and in the TRIAD study (n = 179). For each plasma biomarker, cutoffs were determined for 90%, 95%, or 97.5% sensitivity to detect tau-PET-positivity. We calculated the percentage of patients below the cutoffs (who would not undergo tau-PET; "saved scans") and the tau-PET-positivity rate among participants above the cutoffs (who would undergo tau-PET; "positive predictive value"). Generally, plasma pTau217 performed best. At the 95% sensitivity cutoff in both cohorts, pTau217 resulted in avoiding nearly half tau-PET scans, with a tau-PET-positivity rate among those who would be referred for a scan around 70%. And although tau-PET was strongly associated with subsequent cognitive decline, in BioFINDER-2 it predicted cognitive decline only among individuals above the referral cutoff on plasma pTau217, supporting that this workflow could reduce prognostically uninformative tau-PET scans. In conclusion, plasma pTau217 may guide selection of patients for tau-PET, when accurate prognostic information is of clinical value.
Keyphrases
- cognitive decline
- mild cognitive impairment
- computed tomography
- positron emission tomography
- pet ct
- cerebrospinal fluid
- pet imaging
- end stage renal disease
- primary care
- ejection fraction
- chronic kidney disease
- magnetic resonance imaging
- newly diagnosed
- magnetic resonance
- physical activity
- social media
- electronic health record
- peritoneal dialysis
- prognostic factors
- patient reported outcomes