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Performance Validity Testing in Multiple Sclerosis

Published online by Cambridge University Press:  28 April 2020

Rachel Galioto*
Affiliation:
Mellen Center for Multiple Sclerosis, Cleveland Clinic, Cleveland, OH, USA Department of Neurology, Cleveland Clinic, Cleveland, OH, USA
Kaltra Dhima
Affiliation:
Department of Neurology, Cleveland Clinic, Cleveland, OH, USA
Ophira Berenholz
Affiliation:
Department of Neurology, Cleveland Clinic, Cleveland, OH, USA
Robyn Busch
Affiliation:
Department of Neurology, Cleveland Clinic, Cleveland, OH, USA Epilepsy Center, Cleveland Clinic, Cleveland, OH, USA
*
Correspondence and reprint requests to: Rachel Galioto, 9500 Euclid Ave., P-57, ClevelandOH, 44195, USA. E-mail: galiotr@ccf.org

Abstract

Objective:

Performance validity tests (PVTs) are designed to detect nonvalid responding on neuropsychological testing, but their associations with disease-specific and other factors are not well understood in multiple sclerosis (MS). We examined PVT performance among MS patients and associations with clinical characteristics, cognition, mood, and disability status.

Method:

Retrospective data analysis was conducted on a sample of patients with definite MS (n = 102) who were seen for a clinical neuropsychological evaluation. Comparison samples included patients with intractable epilepsy seen for presurgical workup (n = 102) and patients with nonacute mild traumatic brain injury (mTBI; n = 50). Patients completed the Victoria Symptom Validity Test (VSVT) and validity cutoffs were defined as <16/24 and <18/24 on the hard items.

Results:

In this MS cohort, 14.4% of patients scored <16 on the VSVT hard items and 21.2% scored <18. VSVT hard item scores were associated with disability status and depression, but not with neuropsychological scores, T2 lesion burden, atrophy, disease duration, or MS subtype. Patients applying for disability benefits were 6.75 times more likely to score <18 relative to those who were not seeking disability. Rates of nonvalid scores were similar to the mTBI group and greater than the epilepsy group.

Conclusions:

This study demonstrates that nonvalid VSVT scores are relatively common among MS patients seen for clinical neuropsychological evaluation. VSVT performance in this group relates primarily to disability status and psychological symptoms and does not reflect factors specific to MS (i.e., cognitive impairment, disease severity). Recommendations for future clinical and research practices are provided.

Type
Regular Research
Copyright
Copyright © INS. Published by Cambridge University Press, 2020

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References

REFERENCES

Beck, A.T., Epstein, N., Brown, G., & Steer, R.A. (1988). An inventory for measuring clinical anxiety: Psychometric properties. Journal of Consulting and Clinical Psychology, 56, 893897.CrossRefGoogle ScholarPubMed
Beck, A.T., Steer, R.A., & Brown, G.K. (1996). Beck Depression Inventory (2nd ed.). San Antonio, TX: The Psychological Corporation.Google Scholar
Beck, AT, Steer, RA, & Brown, GK. (2000). BDI-Fast Screen For Medical Patients: Manual. San Antonio, TX: Psychological Corporation.Google Scholar
Belanger, H.G., Curtiss, G., Demery, J.A., Lebowitz, B.K., & Vanderploeg, R.D. (2005). Factors moderating neuropsychological outcomes following mild traumatic brain injury: A meta-analysis. Journal of the International Neuropsychological Society, 11(3), 215227.CrossRefGoogle ScholarPubMed
Benedict, R.H.B. (1997). Brief Visuospatial Memory Test—Revised. Odessa, Fla.: Psychological Assessment Resources.Google Scholar
Benedict, R.H., Fischer, J.S., Archibald, C.J., Arnett, P.A., Beatty, W.W., Bobholz, J., … Munschauer, F. (2002). Minimal neuropsychological assessment of MS patients: a consensus approach. The Clinical Neuropsychologist, 16(3), 381–97.CrossRefGoogle ScholarPubMed
Benedict, R.H., Fishman, I., McClellan, M.M., Bakshi, R., & Weinstock-Guttman, B. (2003). Validity of the beck depression inventory-fast screen in multiple sclerosis. Multiple Sclerosis Journal, 9, 393396.CrossRefGoogle ScholarPubMed
Bianchini, K.J., Curtis, K.L., & Greve, K.W. (2006). Compensation and malingering in traumatic brain injury: A dose-response relationship? The Clinical Neuropsychologist, 20(4), 831847.CrossRefGoogle ScholarPubMed
Binder, L.M. & Rohling, M.L. (1996). Money matters: A meta-analytic review of the effects of financial incentives on recovery after closed-head injury. American Journal of Psychiatry, 153(1), 710.Google ScholarPubMed
Bush, S.S., Ruff, R.M., Troster, A.I., Barth, J.T., Koffler, S.P., Pliskin, N.H., … Silver, C.H. (2005). Symptom validity assessment: Practice issues and medical necessity, NAN Policy & Planning Committee. Clinical Neuropsychology, 20, 419426.CrossRefGoogle ScholarPubMed
Chiaravalloti, N.D. & DeLuca, J. (2008). Cognitive impairment in multiple sclerosis. The Lancet Neurology, 7(12), 1139–51. doi: 10.1016/S1474-4422(08)70259-X CrossRefGoogle ScholarPubMed
Delis, D.C., Kramer, J.H., Kaplan, E., & Ober, B.A. (2000). California Verbal Learning Test— Second Edition, Adult Version. San Antonio, TX: The Psychological Corporation.Google Scholar
Ferrari, R. & Russell, A.S. (2016). Effort testing and symptom exaggeration testing are essential in assessing patients with fibromyalgia for disability. The Journal of Rheumatology, 43(11), 2077.CrossRefGoogle ScholarPubMed
Green, P., Rohling, M.L., Lees-Haley, P.R., & Allen, L.M. III (2001). Effort has a greater effect on test scores than severe brain injury in compensation claimants. Brain Injury, 15(12), 10451060.CrossRefGoogle Scholar
Greher, M.R. & Wodushek, T.R. (2017). Performance validity testing in neuropsychology: scientific basis and clinical application—A brief review. Journal of Psychiatric Practice, 23(2), 134140.CrossRefGoogle ScholarPubMed
Greiffenstein, M.F. (2009). Clinical myths of forensic neuropsychology. The Clinical Neuropsychologist, 23(2), 286296.CrossRefGoogle ScholarPubMed
Grote, C.L., Kooker, E.K., Garron, D.C., Nyenhuis, D.L., Smith, C.A., & Mattingly, M.L. (2000). Performance of compensation seeking and non-compensation seeking samples on the victoria symptom validity test: Cross-validation and extension of a standardization study. Journal of Clinical and Experimental Neuropsychology, 22(6), 709719.CrossRefGoogle ScholarPubMed
Heaton, R.K., Grant, I., & Matthews, C.G. (1991). Comprehensive Norms for an Extended Halstead-Reitan Battery: Demographic Corrections, Research Findings, and Clinical Applications. Odessa, TX: Psychological Assessment Resources.Google Scholar
Kalb, R., Beier, M., Benedict, R.H., Charvet, L., Costello, K., Feinstein, A., … DeLuca, J. (2018). Recommendations for cognitive screening and management in multiple sclerosis care. Multiple Sclerosis Journal, 24(13), 16651680. doi: 10.1177/1352458518803785 CrossRefGoogle ScholarPubMed
Keary, T.A., Frazier, T.W., Belzile, C.J., Chapin, J.S., Naugle, R.I., Najm, I.M., & Busch, R.M. (2013). Working memory and intelligence are associated with victoria symptom validity test hard item performance in patients with intractable epilepsy. Journal of the International Neuropsychologist Society, 19, 314323.CrossRefGoogle ScholarPubMed
Langdon, D.W., Amato, M.P., Boringa, J., Brochet, B., Foley, F., Fredrikson, S., … Benedict, R.H. (2012). Recommendations for a brief international cognitive assessment for multiple sclerosis (BICAMS). Multiple Sclerosis Journal, 6, 891898. doi: 10.1177/1352458511431076 CrossRefGoogle Scholar
Larrabee, G.J. (2003) Detection of malingering using atypical performance: Patterns on standard neuropsychological tests. The Clinical Neuropsychologist, 17(3), 410425.CrossRefGoogle ScholarPubMed
Leavitt, V.M., Brandstadter, R., Fabian, M., Sand, I.K., Klineova, S., Krieger, S., … Sumowski, J.F. (2019). Dissociable Cognitive Patterns Related to Depression and Anxiety in Multiple Sclerosis. Multiple Sclerosis Journal, 19.Google ScholarPubMed
Loring, D.W., Larrabee, G.J., Lee, G.P., & Meader, K.J. (2007). Victoria symptom validity test performance in a heterogenous clinical sample. Clinical Neuropsychology, 21(3), 522531.CrossRefGoogle Scholar
Loring, D.W., Lee, G.P., & Meador, K.J. (2005). Victoria symptom validity test performance in non-litigating epilepsy surgery candidates. Journal of Clinical and Experimental Neuropsychology, 27, 610617.CrossRefGoogle ScholarPubMed
Macciocchi, S.N., Seel, R.T., Alderson, A., & Godsall, R. (2006). Victoria symptom validity test performance in acute severe traumatic brain injury: Implications for test interpretation. Clinical Neuropsychology, 5, 395404.CrossRefGoogle Scholar
Mittenberg, W., Patton, C., Canyock, E.M., & Condit, D.C. (2002). Base rates of malingering and symptom exaggeration. Journal of Clinical and Experimental Neuropsychology, 24(8), 10941102.CrossRefGoogle ScholarPubMed
Morrow, S.A., Rosehart, H., & Pantazopoulos, K. (2016). Anxiety and depressive symptoms are associated with worse performance on objective cognitive tests in MS. The Journal of Neuropsychiatry and Clinical Neuroscience, 28(2), 118123.CrossRefGoogle ScholarPubMed
Schwartz, ES., Erdodi, L., Rodriguez, N., Ghosh, J.J., Curtain, J.R., Flashman, L.A., & Roth, R.M. (2016). CVLT-II forced choice recognition trial as an embedded validity indicator: A systematic review of the evidence. Journal of the International Neuropsychological Society, 22(8), 851858. doi: 10.1017/S1355617716000746 CrossRefGoogle Scholar
Silk-Eglit, G.M., Lynch, J.K., & McCaffrey, R.J. (2016). Validation of victoria symptom validity test cutoff scores among mild traumatic brain injury litigants using a known-groups design. Clinical Neuropsychologist, 31, 231245.Google ScholarPubMed
Slick, D.J., Hopp, G., Strauss, E., & Thompson, G.B. (1997). VSVT: Victoria Symptom Validity Test, Version 1.0 Professional Manual. Odessa, FL: Psychological Assessment Resources, Inc.Google Scholar
Smith, A. (1982). Symbol Digit Modalities Test: Manual. Los Angeles, CA: Western Psychological Services.Google Scholar
Suchy, Y., Chelune, G., Franchow, E.I., & Thorgusen, S.R. (2012). Confronting patients about insufficient effort: the impact on subsequent symptom validity and memory performance. The Clinical Neuropsychologist, 26(8), 12961311.CrossRefGoogle ScholarPubMed
Wechsler, D. (2008). Wechsler Adult Intelligence Scale–Fourth Edition (WAIS–IV), vol. 22, 498 p. San Antonio, TX: NCS Pearson.Google Scholar