Detection of noncredible cognitive performance with Wechsler Memory Scale-IV measures in mild traumatic brain injury litigants.

Advanced clinical solutions Wechsler memory Scale-IV mTBIl performance validity testing

Journal

Applied neuropsychology. Adult
ISSN: 2327-9109
Titre abrégé: Appl Neuropsychol Adult
Pays: United States
ID NLM: 101584082

Informations de publication

Date de publication:
01 Dec 2023
Historique:
medline: 1 12 2023
pubmed: 1 12 2023
entrez: 1 12 2023
Statut: aheadofprint

Résumé

To investigate the operating characteristics of selective measures on the Wechsler Memory Scale-IV (WMS-IV) to predict noncredible neurocognitive dysfunction in a sample of mild traumatic brain injury (mTBI) litigants. Participants included 110 adults who underwent a comprehensive neuropsychological examination. Criterion groups were formed based upon their performance on stand-alone measures of cognitive performance validity testing (PVT). Participants failing two stand-alone PVTs exhibited significantly lower scores across all WMS-IV dependent variables of interest compared to participants who passed both PVTs. Participants who failed one PVT were excluded. Bivariate logistic regression revealed that all six dependent variables were significant predictors of PVT status. The best prediction model consisted of three WMS-IV variables including Logical Memory Delayed Recall (LM2), Logical Memory Recognition (LMR), and Visual Reproduction Recognition (VRR). This model demonstrated an accuracy of 90.2%, 0.89 sensitivity, 0.92 specificity, and a Receiver Operating Curve (ROC) of 0.957. The current empirically-derived cutscores and logit equation for the WMS-IV may be an additional consideration in analyzing database validity and noncredible performance in mTBI personal injury litigants ages 18-69.

Identifiants

pubmed: 38039520
doi: 10.1080/23279095.2023.2287139
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-8

Auteurs

George K Henry (GK)

Private Practice, UCLA, Los Angeles, CA, USA.

Classifications MeSH