Comparability of GFAP and UCH-L1 Measurements Using Handheld and Core Laboratory TBI Plasma Tests and Their Diagnostic Performance for Traumatic Intracranial Lesions

Clicks: 30
ID: 328203
2026
Article Quality & Performance Metrics
Overall Quality
Not rated
Combines reader engagement with the AI quality analysis. This article has not been analysed, so there is no overall score — reader engagement is measured and shown alongside.
AI Quality Assessment
Not analyzed
Readership in this journal
Emerging

Ranked #9 of 11 articles by views in the journal of applied laboratory medicine

Most read Least read

Bar heights use a square-root scale.

Mint this article as an NFT
Not yet minted

Create a permanent, verifiable on-chain record of this article on the Scimatic Network. The NFT is held in your Journament account, and you can withdraw it to your own wallet at any time.

5 SUSD one-off · no wallet required
Abstract
BACKGROUND: Glial fibrillary acidic protein (GFAP) and ubiquitin carboxy-terminal hydrolase L1 (UCH-L1) are cleared by the U.S. Food and Drug Administration (FDA) to aid computed tomography (CT) decision-making in patients with traumatic brain injury (TBI). Two commercial assays, i-STAT TBI Plasma test and Alinity i TBI test, quantify these biomarkers using distinct detection technologies. Limited comparative data exist, creating uncertainty about cross-platform agreement and interchangeability of results in clinical and research applications. METHODS: GFAP and UCH-L1 concentrations were measured twice from 829 adults who underwent brain CT within 24 h of blunt trauma, first using the Abbott i-STAT TBI Plasma test and second using the Alinity i TBI test. Agreement was assessed using percent agreement (binary outcomes), Bland-Altman plots, Passing-Bablok regression, and Pearson correlation, with and without imputed values for out-of-range results. Diagnostic accuracy for traumatic intracranial lesions (tICLs) was calculated at assay-specific cutoffs. RESULTS: For GFAP + UCH-L1 in combination, the overall cross-platform agreement was 92.28%. GFAP and UCH-L1 showed strong cross-platform correlations with imputed (r = 0.916 and 0.916, respectively) and non-imputed data (r = 0.942 and 0.909, respectively). Both tests detected all clinically significant tICLs, with sensitivities of 100% (95% CI, 89%-100%) and negative predictive value (NPV) of 100% (95% CI, 98%-100%). Specificities were 29% (95% CI, 26%-32%) for i-STAT and 25% (95% CI, 22%-28%) for Alinity i. CONCLUSIONS: GFAP and UCH-L1 showed strong cross-platform agreement, individually and in combination, with equivalent sensitivity for tICL, supporting clinical interchangeability of the binary positive/negative test results.
Reference Key
openalex_W7212125660 Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors Nathan B. Roberts, Carmen Gherasim, Kexin Li, Tian Xie, Hayley Falk, Jayapalli Bapuraj, Debra Demski, Christopher Fung, Nathan L. Haas, Keith E. Kocher, Katharine S Seagly, Richard P. Medlin, Jacob Joseph, Matthew J. Schipper, Raj Chandran, Jaime A. Marino, Beth McQuiston, Swati Pradhan-Bhatt, Frederick K. Korley
Journal the journal of applied laboratory medicine
Year 2026
DOI
10.1093/jalm/jfag093
URL
Keywords Keywords not found

Citations

No citations found. To add a citation, contact the admin at info@scimatic.org

No comments yet. Be the first to comment on this article.