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Record W4403071125 · doi:10.1093/clinchem/hvae106.611

B-254 Analytical and Clinical Performance Evaluation of Plasma pTau217 in a Clinical Diagnostic Laboratory

2024· article· en· W4403071125 on OpenAlexaffabout
Mary Joy Encarnacion, Pankaj Kumar, Ali Mousavi, K.G. Hallett, D. R. Biehl, Shannon Pflueger, Anna Mammel, H Frykman

Bibliographic record

VenueClinical Chemistry · 2024
Typearticle
Languageen
FieldMedicine
TopicHemoglobinopathies and Related Disorders
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedical physicsMedicine

Abstract

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Abstract Background Blood-based biomarkers provide an accessible and cost-effective tool for diagnosing Alzheimer’s disease (AD). Among these biomarkers, phosphorylated tau 217 (pTau217) shows promise for both AD diagnosis and differential diagnosis, as well as for facilitating access to emerging disease-modifying therapies. The ALZpath SIMOA pTau-217 v2 assay is a digital immunoassay designed for quantifying pTau-217 in human EDTA plasma samples. This study assesses the analytical performance of plasma pTau217 assays as a Laboratory Developed Test (LDT) appropriate for diagnostic application. Methods In this analytical study, we evaluate accuracy, precision, detection limits, linearity, and analyte stability. Plasma pTau217 levels were measured using the ALZpath pTau217 v2 assay on a single Quanterix HD-X SIMOA Analyzer platform at BC Neuroimmunology Lab. Inc. Vancouver, British Columbia, Canada. As a clinical testing laboratory, our validation procedures are in accordance with CAP and CLIA requirements, with a primary focus on adhering to CLSI guidelines for both analytical and clinical performance testing. To determine a reference range and cut-off, samples of Amyloid PET-confirmed cases (n=263) and healthy subjects between the ages of 55 and 95, with a roughly equal ratio of males to females (n=219), were tested. Results The ALZpath pTau217 assay demonstrates an analytical measurement range of 0.0046 - 3.4056 ng/L, with a limit of blank (LoB) of 0.0019 ng/L, a limit of detection (LoD) of 0.0046 ng/L, and a limit of quantification (LoQ) of 0.03 ng/L. Linearity spans from 0.06 to 1.75 ng/L, with repeatability showing intra-laboratory precision above LoQ ≤ 20% CV. Stability is maintained at 4⁰C for ≤ 1 week, at room temperature for ≤ 72 hrs, at -20⁰C for ≤ 2 weeks, and at -70⁰C for ≤ 3 weeks, with freeze/thaw cycles tolerated up to 6 times. Moreover, interference is not detected at the maximum concentrations tested for albumin, unconjugated bilirubin, biotin, hemoglobin, creatinine, and heterophilic antibodies. The reference range was determined using the 95% reference interval, resulting in 0.398 ng/L. ROC analysis yielded an AUC of 0.932 with a Youden index of 0.338 ng/L. At the Youden index, sensitivity was 90.0% with a specificity of 85.6%. Specificity reached 95.5% at the upper cut point of 0.471 ng/L, while sensitivity was 94.8% at the lower cut point of 0.242 ng/L. Conclusions The outstanding analytical performance of pTau217 supports its adoption as a reliable screening and diagnostic tool in clinical practice, aiding clinicians in the accurate diagnosis of AD.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.011
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.008
Threshold uncertainty score0.041

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0080.011
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.001
Science and technology studies0.0010.001
Scholarly communication0.0020.000
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.003

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.

Opus teacher head0.049
GPT teacher head0.410
Teacher spread0.362 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

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Citations0
Published2024
Admission routes2
Has abstractyes

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