Validation of alternative dot counting test E-score cutoffs based on degree of cognitive impairment in veteran and civilian clinical samples.

Autor:	Hansen ND; Department of Psychiatry, University of Illinois College of Medicine, Chicago, IL, USA.; Department of Psychology, Roosevelt University, Chicago, IL, USA., Rhoads T; Department of Psychiatry, University of Illinois College of Medicine, Chicago, IL, USA.; Department of Psychology, Rosalind Franklin University of Medicine and Science, North Chicago, IL, USA., Jennette KJ; Department of Psychiatry, University of Illinois College of Medicine, Chicago, IL, USA., Reynolds TP; Department of Psychiatry, University of Illinois College of Medicine, Chicago, IL, USA., Ovsiew GP; Department of Psychiatry, University of Illinois College of Medicine, Chicago, IL, USA., Resch ZJ; Department of Psychiatry, University of Illinois College of Medicine, Chicago, IL, USA., Critchfield EA; Polytruama Rehabilitation Center, South Texas Veterans Healthcare System, San Antonio, TX, USA.; Psychology Service, South Texas Veterans Healthcare System, San Antonio, TX, USA., Marceaux JC; Psychology Service, South Texas Veterans Healthcare System, San Antonio, TX, USA., O'Rourke JJF; Polytruama Rehabilitation Center, South Texas Veterans Healthcare System, San Antonio, TX, USA.; Psychology Service, South Texas Veterans Healthcare System, San Antonio, TX, USA., Soble JR; Department of Psychiatry, University of Illinois College of Medicine, Chicago, IL, USA.; Department of Neurology, University of Illinois College of Medicine, Chicago, IL, USA.
Jazyk:	angličtina
Zdroj:	The Clinical neuropsychologist [Clin Neuropsychol] 2023 Feb; Vol. 37 (2), pp. 402-415. Date of Electronic Publication: 2022 Mar 27.
DOI:	10.1080/13854046.2022.2054863
Abstrakt:	Objective: This study examined Dot Counting Test (DCT) performance among patient populations with no/minimal impairment and mild impairment in an attempt to cross-validate a more parsimonious interpretative strategy and to derive optimal E-Score cutoffs. Method: Participants included clinically-referred patients from VA ( n  = 101) and academic medical center (AMC, n  = 183) settings. Patients were separated by validity status (valid/invalid), and subsequently two comparison groups were formed from each sample's valid group. Namely, Group 1 included patients with no to minimal cognitive impairment, and Group 2 included those with mild neurocognitive disorder. Analysis of variance tested for differences between rounded and unrounded DCT E-Scores across both comparison groups and the invalid group. Receiver operating characteristic curve analyses identified optimal validity cut-scores for each sample and stratified by comparison groups. Results: In the VA sample, cut scores of ≥13 (rounded) and ≥12.58 (unrounded) differentiated Group 1 from the invalid performers (87% sensitivity/88% specificity), and cut scores of ≥17 (rounded; 58% sensitivity/90% specificity) and ≥16.49 (unrounded; 61% sensitivity/90% specificity) differentiated Group 2 from the invalid group. Similarly, in the AMC group, a cut score of ≥13 (rounded and unrounded; 75% sensitivity/90% specificity) differentiated Group 1 from the invalid group, whereas cut scores of ≥18 (rounded; 43% sensitivity/94% specificity) and ≥16.94 (unrounded; 46% sensitivity/90% specificity) differentiated Group 2 from the invalid performers. Conclusions: Different cut scores were indicated based on degree of cognitive impairment, and provide proof-of-concept for a more parsimonious interpretative paradigm than using individual cut scores derived for specific diagnostic groups.
Databáze:	MEDLINE
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