Evaluation of the prospective use of blood biomarkers for Alzheimer’s disease in primary and secondary care

Abstract Background An accurate blood test for Alzheimer’s disease (AD) could streamline the diagnostic work‐up and treatment of AD. Our aim was to evaluate an AD blood test in primary and secondary care, using predefined biomarker cutoffs and prospective analyses of plasma samples. Method 940 prospective and unselected patients seeking medical evaluation for early cognitive symptoms were included. Plasma %p‐tau217 and Aβ42/40 was measured using mass spectrometry and the Amyloid Probability Score‐2 (APS2) combining these values was calculated. Predefined cutoffs were established in an independent training cohort and were applied to primary (n=307) and secondary care (n=300) cohorts comprised of patients undergoing cognitive evaluation where plasma samples were analyzed in single batches. The blood test was then evaluated prospectively in primary (n=100) and secondary (n=234) care patients where plasma samples were analyzed bi‐weekly. The main outcome was amyloid status as determined by cerebrospinal fluid AD biomarker positivity. Results In primary care, 51% of patients were AD pathology positive and were diagnosed with the following: 25% subjective cognitive decline (SCD), 47% mild cognitive impairment (MCI), and 28% dementia. In secondary care 49% were AD pathology positive and diagnoses were 21% SCD, 43% MCI, and 36% dementia. Using single batch analyses in primary care, the AUC for APS2 was 0.97 (95% CI 0.95–0.99), PPV 91% (87–96%), and NPV 92% (87–96%); in secondary care, the AUC was 0.96 (0.94–0.98), PPV 88% (83–93%), and NPV 87% (82–93%). When samples were analyzed prospectively in primary care, the AUC was 0.97 (0.95–1.00), PPV 90% (81–99%), and NPV 90% (82–98%); in secondary care, the AUC was 0.97 (0.94–0.99), PPV 92% (86–97%), and NPV 89% (83–94%). Primary care physicians accurately identified AD in 58% of patients after a standard work‐up versus 89% (83–95%) for APS2 (p<0.001). Dementia experts had a diagnostic accuracy of 74% (69–80%) versus 90% (86–94%) for APS2 (p<0.001). At AAIC, we will also present prospective data using plasma p‐tau217 immunoassay‐based tests. Conclusions Highly accurate AD blood tests might improve the diagnostic work‐up of individuals with cognitive symptoms in primary and secondary care. Future studies are needed to further evaluate these tests prospectively in primary care of other countries.

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Publication Details

Journal
Alzheimer s & Dementia
Published
2024-12-01
DOI
https://doi.org/10.1002/alz.088404
Citations
6
Primary Topic
Pharmaceutical Practices and Patient Outcomes
Type
article
Field-Weighted Citation Impact
1.72
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article

Evaluation of the prospective use of blood biomarkers for Alzheimer’s disease in primary and secondary care

Philip B. Verghese, Mark Monane, Sebastian Palmqvist, Rik Ossenkoppele et al.
6 citations
Alzheimer s & Dementia
Pharmaceutical Practices and Patient Outcomes
1.72
article

Evaluation of the prospective use of blood biomarkers for Alzheimer’s disease in primary and secondary care

Philip B. Verghese, Mark Monane, Sebastian Palmqvist, Rik Ossenkoppele, Erik Stomrud, Kaj Blennow, Pontus Tideman, Tim West, Ruben Smith, Joel B. Braunstein, Niklas Mattsson, Oskar Hansson, Gemma Salvadó, Suzanne E. Schindler, Shorena Janelidze
article en
6 citations

Abstract

Abstract Background An accurate blood test for Alzheimer’s disease (AD) could streamline the diagnostic work‐up and treatment of AD. Our aim was to evaluate an AD blood test in primary and secondary care, using predefined biomarker cutoffs and prospective analyses of plasma samples. Method 940 prospective and unselected patients seeking medical evaluation for early cognitive symptoms were included. Plasma %p‐tau217 and Aβ42/40 was measured using mass spectrometry and the Amyloid Probability Score‐2 (APS2) combining these values was calculated. Predefined cutoffs were established in an independent training cohort and were applied to primary (n=307) and secondary care (n=300) cohorts comprised of patients undergoing cognitive evaluation where plasma samples were analyzed in single batches. The blood test was then evaluated prospectively in primary (n=100) and secondary (n=234) care patients where plasma samples were analyzed bi‐weekly. The main outcome was amyloid status as determined by cerebrospinal fluid AD biomarker positivity. Results In primary care, 51% of patients were AD pathology positive and were diagnosed with the following: 25% subjective cognitive decline (SCD), 47% mild cognitive impairment (MCI), and 28% dementia. In secondary care 49% were AD pathology positive and diagnoses were 21% SCD, 43% MCI, and 36% dementia. Using single batch analyses in primary care, the AUC for APS2 was 0.97 (95% CI 0.95–0.99), PPV 91% (87–96%), and NPV 92% (87–96%); in secondary care, the AUC was 0.96 (0.94–0.98), PPV 88% (83–93%), and NPV 87% (82–93%). When samples were analyzed prospectively in primary care, the AUC was 0.97 (0.95–1.00), PPV 90% (81–99%), and NPV 90% (82–98%); in secondary care, the AUC was 0.97 (0.94–0.99), PPV 92% (86–97%), and NPV 89% (83–94%). Primary care physicians accurately identified AD in 58% of patients after a standard work‐up versus 89% (83–95%) for APS2 (p<0.001). Dementia experts had a diagnostic accuracy of 74% (69–80%) versus 90% (86–94%) for APS2 (p<0.001). At AAIC, we will also present prospective data using plasma p‐tau217 immunoassay‐based tests. Conclusions Highly accurate AD blood tests might improve the diagnostic work‐up of individuals with cognitive symptoms in primary and secondary care. Future studies are needed to further evaluate these tests prospectively in primary care of other countries.

Alzheimer s & DementiaVol. 20(S2)
Lund University (SE), C2N Diagnostics (United States) (US), Prevent Alzheimer’s Disease 2020 (US), University of Gothenburg (SE)
Good health and well-being
Openalex Percentile: Top 15%
Pharmaceutical Practices and Patient Outcomes
1.72
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