A-404 Evaluating the need for head CT in mild TBI patients using a whole blood point-of-care test within 24 hours of suspected head injury
Notice bibliographique
Résumé
Abstract Background Approximately 69 million people worldwide experience a traumatic brain injury (TBI) annually. In the Emergency Department, over 80% of patients evaluated for TBI undergo head CT scans, but fewer than 10% of these scans reveal acute traumatic abnormalities. This highlights the need for objective, rapid, and accurate tools to help clinicians evaluate patients with suspected TBI, significantly improving patient care by reducing unnecessary radiation exposure, minimizing wait times, and optimizing resource utilization. The i-STAT® TBI test represents a significant advancement in TBI diagnostics. This point-of-care test measures two key brain injury biomarkers, glial fibrillary acidic protein (GFAP) and ubiquitin carboxyl-terminal hydrolase L1 (UCH-L1). Its recent regulatory clearance for clinical use with venous whole blood enhances its utility and accessibility in various environments, including bedside use. This study demonstrates the analytical and clinical performance of the whole blood TBI test. Methods The i-STAT TBI test is a panel of in vitro diagnostic immunoassays for the quantitative measurements of GFAP and UCH-L1 in 20 µL of venous whole blood. Performance characteristics such as detection limits, imprecision, linearity, measuring interval, and potential interference due to drugs of abuse were established following CLSI guidance. Clinical performance was evaluated in a prospective study across 20 U.S. sites. The study enrolled 970 adult patients with suspected mild TBI who presented with initial GCS scores of 13-15 within 24 hours of injury and had a head CT scan ordered as part of standard care. Results The reportable range of the GFAP assay extended from 47 pg/mL to 10,000 pg/mL. For UCH-L1, the range extended from 87 pg/mL to 3,200 pg/mL. Within-laboratory imprecision ranged from 3.98% to 24.62% CV for GFAP and 4.81% to 11.64% CV for UCH-L1. The linearity of GFAP and UCH-L1 assays was established using venous whole blood samples of varying antigen levels. Deviations from linearity were =15% for GFAP and =10% for UCH-L1. Additionally, drugs of abuse were tested and no interference was observed with TBI assays at concentrations up to 2.25 times the highest therapeutic drug concentration. In the clinical performance study, 283 had positive CT imaging showing acute traumatic intracranial lesions, while 687 had negative scans (no acute trauma-related findings). The TBI test correctly identified 273 of the 283 CT-positive patients as “Elevated,” resulting in a clinical sensitivity of 96.5%. All patients requiring neurosurgical intervention were classified as “Elevated.” Among the 687 patients with negative CT scans, 277 were identified as “Not Elevated,” reflecting a specificity of 40.3%. These metrics translated into an overall negative predictive value of 96.5%, indicating that most patients testing “Not Elevated” had no lesions on head CT. Conclusion The i-STAT TBI test allows for expanded utility and easier accessibility of TBI biomarkers for bedside evaluation. This test demonstrated high clinical performance in ruling out intracranial lesions visible on CT imaging in adult mild TBI patients seen within 24 hours of trauma. The TBI test provides an objective tool to reduce unnecessary neuroimaging in mild TBI cases and potentially alleviate the associated resource and radiation burdens.
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Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,001 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 0,001 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».