Abstract
Purpose
Individuals with Huntington disease (HD) experience progressive cognitive decline that may appear years before motor manifestations of the disease. These declines have a profound effect on health-related quality of life (HRQOL) over the disease course, and thus it is important that self-report measures of cognitive function are validated for use in longitudinal studies.
Methods
359 individuals with premanifest or manifest HD completed baseline and at least one follow-up (12- and 24-month) assessment. Neuro-QoL™ Cognitive Function was administered at each time-point. Participants completed a self-reported global rating of cognitive change, as well as performance-based cognitive changes (using the Symbol Digit Modalities Test). Standardized response means (SRMs) and general linear models evaluated whether Neuro-QoL™ Cognitive Function was responsive to change over time with respect to self-reported and performance-based anchors. Test–retest reliability and known-group validity were also examined.
Results
Responsiveness was supported by effect sizes that were small in magnitude, but in the expected direction relative to self-reported and performance-based change. General linear models generally supported 12- and 24-month responsiveness relative to self-reported cognitive change and 12-month responsiveness relative to performance-based change. Test–retest reliability was excellent, and the measure exhibited known-group validity.
Conclusion
Longitudinal analyses generally indicate that the Neuro-QoL™ Cognitive Function measure is sensitive to change over time in individuals with HD. Neuro-QoL Cognitive Function changes reflect self-reported cognitive change at 12 and 24 months and performance-based change at 12 months. This measure may be useful in clinical trials or longitudinal observation studies.
Similar content being viewed by others
References
Fisher, E. R., & Hayden, M. R. (2014). Multisource ascertainment of Huntington disease in Canada: Prevalence and population at risk. Movement Disorders,29(1), 105–114.
Pringsheim, T., et al. (2012). The incidence and prevalence of Huntington’s disease: A systematic review and meta-analysis. Movement Disorders,27(9), 1083–1091.
Paulson, H. L., & Albin, R. L. (2011). Huntington’s disease: Clinical features and routes to therapy. In D. C. Lo & R. E. Hughes (Eds.), Neurobiology of Huntington’s disease: Applications to drug discovery frontiers in neuroscience. Boca Raton: CRC Press.
Duff, K., et al. (2010). Mild cognitive impairment in prediagnosed Huntington disease. Neurology,75(6), 500–507.
Paulsen, J. S., et al. (2008). Detection of Huntington’s disease decades before diagnosis: The predict-HD study. Journal of Neurology, Neurosurgery and Psychiatry,79(8), 874–880.
Peavy, G. M., et al. (2010). Cognitive and functional decline in Huntington’s disease: Dementia criteria revisited. Movement Disorders,25(9), 1163–1169.
Lai, J. S., et al. (2018). Evaluating cognition in individuals with Huntington disease: Neuro-QoL cognitive functioning measures. Quality of Life Research,27(3), 811–822.
Vaccarino, A. L., et al. (2011). Assessment of cognitive symptoms in prodromal and early Huntington disease. PLoS Currents,3, RRN1250.
Carlozzi, N. E., & Tulsky, D. S. (2013). Identification of health-related quality of life (HRQOL) issues relevant to individuals with Huntington disease. Journal of Health Psychology,18(2), 212–225.
Stroop, J. (1935). Studies of interference in serial verbal reactions. Journal of Experimental Psychology,18, 643–662.
Smith, A. (1982). Symbol digit modalities test: Manual. Western Psychological Services: Los Angeles.
Koss, E., et al. (1984). The Stroop color-word test: Indicator of dementia severity. International Journal of Neuroscience,24(1), 53–61.
Benton, A. L., et al. (1994). Contributions to neuropsychological assessment (2nd ed.). New York: Oxford University Press.
Carlozzi, N. E., et al. (2014). Understanding the outcomes measures used in Huntington disease pharmacological trials: A systematic review. Journal of Huntington’s Disease,3(3), 233–252.
Williams, J. K., et al. (2015). Everyday cognition in prodromal Huntington disease. Neuropsychology,29(2), 255–267.
Carlozzi, N. E., Grech, J., & Tulsky, D. S. (2013). Memory functioning in individuals with traumatic brain injury: An examination of the Wechsler Memory Scale-Fourth Edition (WMS-IV). Journal of Clinical and Experimental Neuropsychology,35(9), 906–914.
Derouesne, C., et al. (1999). Memory complaints in young and elderly subjects. International Journal of Geriatric Psychiatry,14(4), 291–301.
Lautenschlager, N. T., et al. (2005). Subjective memory complaints with and without objective memory impairment: Relationship with risk factors for dementia. The American Journal of Geriatric Psychiatry,13(8), 731–734.
Mostafaie, N., et al. (2004). Mitochondrial genotype and risk for Alzheimer’s disease: Cross-sectional data from the Vienna-Transdanube-Aging “VITA” study. Journal of Neural Transmission (Vienna),111(9), 1155–1165.
Sawrie, S. M., et al. (1999). Subjective versus objective memory change after temporal lobe epilepsy surgery. Neurology,53(7), 1511–1517.
Schmidt, I. W., Berg, I. J., & Deelman, B. G. (2001). Relations between subjective evaluations of memory and objective memory performance. Perceptual and Motor Skills,93(3), 761–776.
Smith, G. E., et al. (1996). Subjective memory complaints, psychological distress, and longitudinal change in objective memory performance. Psychology and Aging,11(2), 272–279.
Zandi, T. (2004). Relationship between subjective memory complaints, objective memory performance, and depression among older adults. American Journal of Alzheimer’s Disease and Other Dementias,19(6), 353–360.
Cella, D., et al. (2011). The neurology quality of life measurement (Neuro-QOL) initiative. Archives of Physical Medicine and Rehabilitation,92(Suppl 1), S28–S36.
Gershon, R. C., et al. (2012). Neuro-QOL: Quality of life item banks for adults with neurological disorders: Item development and calibrations based upon clinical and general population testing. Quality of Life Research,21(3), 475–486.
Carlozzi, N. E., et al. (2016). HDQLIFE: Development and assessment of health-related quality of life in Huntington disease (HD). Quality of Life Research,25(10), 2441–2455.
Novack, T. (2000). The Orientation Log. The Center for Outcome Measurement in Brain Injury.
Gershon, R. C., et al. (2010). The use of PROMIS and assessment center to deliver patient-reported outcome measures in clinical research. Journal of Applied Measurement,11(3), 304–314.
Huntington Study Group. (1996). Unified Huntington’s Disease Rating Scale: Reliability and consistency. Huntington Study Group. Movement Disorders,11(2), 136–142.
Shoulson, I. (1981). Huntington disease: Functional capacities in patients treated with neuroleptic and antidepressant drugs. Neurology,31, 1333–1335.
Marder, K., et al. (2000). Rate of functional decline in Huntington’s disease. Neurology,54(2), 452.
SAS Institute. (2013). SAS 9.4 language reference concepts. Cary, NC: SAS Institute.
Cohen, J. (1969). Statistical power analysis for the behavioral sciences. New York: Academic Press.
Kopjar, B. (1996). The SF-36 health survey: A valid measure of changes in health status after injury. Injury Prevention,2, 135–139.
Dineen, K., et al. (2002). Meaningful change in cancer-specific quality-of-life scores: Differences between improvement and worsening. Clinical Therapeutics,24, 41–42.
Terwee, C. B., et al. (2007). Quality criteria were proposed for measurement properties of health status questionnaires. Journal of Clinical Epidemiology,60(1), 34–42.
Victorson, D., et al. (2014). Validity of the Neurology Quality-of-Life (Neuro-QoL) measurement system in adult epilepsy. Epilepsy Behavior,31, 77–84.
Amtmann, D., et al. (2018). People with multiple sclerosis report significantly worse symptoms and health related quality of life than the US general population as measured by PROMIS and NeuroQoL outcome measures. Disability and Health Journal,11(1), 99–107.
Kozlowski, A. J., et al. (2016). Evaluating individual change with the quality of life in neurological disorders (Neuro-QoL) short forms. Archives of Physical Medicine and Rehabilitation,97(4), 650–654.
Kamper, S. J., Maher, C. G., & Mackay, G. (2009). Global rating of change scales: A review of strengths and weaknesses and considerations for design. Journal of Manual and Manipulative Therapy,17(3), 163–170.
Cook, S., & Marsiske, M. (2006). Subjective memory beliefs and cognitive performance in normal and mildly impaired older adults. Aging & Mental Health,10(4), 413–423.
Lineweaver, T. T., et al. (2004). Patients’ perceptions of memory functioning before and after surgical intervention to treat medically refractory epilepsy. Epilepsia,45(12), 1604–1612.
Jungwirth, S., et al. (2004). Subjective memory complaints and objective memory impairment in the Vienna-Transdanube aging community. Journal of the American Geriatrics Society,52(2), 263–268.
Podewils, L. J., et al. (2003). Relationship of self-perceptions of memory and worry to objective measures of memory and cognition in the general population. Psychosomatics,44(6), 461–470.
Reese, C. M., & Cherry, K. E. (2006). Effects of age and ability on self-reported memory functioning and knowledge of memory aging. Journal of Genetic Psychology,167(2), 221–240.
Hutchinson, A. D., et al. (2012). Objective and subjective cognitive impairment following chemotherapy for cancer: A systematic review. Cancer Treatment Reviews,38(7), 926–934.
McCusker, E., & Loy, C. T. (2014). The many facets of unawareness in huntington disease. Tremor and Other Hyperkinetic Movements (N Y),4, 257.
Deckel, A. W., & Morrison, D. (1996). Evidence of a neurologically based “denial of illness” in patients with Huntington’s disease. Archives of Clinical Neuropsychology,11(4), 295–302.
Vitale, C., et al. (2001). Unawareness of dyskinesias in Parkinson’s and Huntington’s diseases. Neurological Sciences,22(1), 105–106.
Chatterjee, A., et al. (2005). A comparison of self-report and caregiver assessment of depression, apathy, and irritability in Huntington’s disease. Journal of Neuropsychiatry and Clinical Neurosciences,17(3), 378–383.
Duff, K., et al. (2010). “Frontal” behaviors before the diagnosis of Huntington’s disease and their relationship to markers of disease progression: Evidence of early lack of awareness. Journal of Neuropsychiatry and Clinical Neurosciences,22(2), 196–207.
Carlozzi, N. E., et al. (2018). Understanding patient-reported outcome measures in Huntington disease: At what point is cognitive impairment related to poor measurement reliability? Quality of Life Research,27(10), 2541–2555.
Cohen, J. (1960). A coefficient of agreement for nominal scales. Educational and Psychological Measurement,20(1), 10.
Smith, K. M., & Dahodwala, N. (2014). Sex differences in Parkinson’s disease and other movement disorders. Experimental Neurology,259, 44–56.
Tabrizi, S. J., et al. (2009). Biological and clinical manifestations of Huntington’s disease in the longitudinal TRACK-HD study: Cross-sectional analysis of baseline data. Lancet Neurology,8(9), 791–801.
Paulsen, J. S., et al. (2014). Clinical and biomarker changes in premanifest Huntington disease show trial feasibility: A decade of the PREDICT-HD study. Frontiers in Aging Neuroscience,6, 78.
Dunn, K. M., et al. (2004). Patterns of consent in epidemiologic research: Evidence from over 25,000 responders. American Journal of Epidemiology,159(11), 1087–1094.
Burg, J. A., Allred, S. L., & Sapp, J. H., 2nd. (1997). The potential for bias due to attrition in the National Exposure Registry: An examination of reasons for nonresponse, nonrespondent characteristics, and the response rate. Toxicology and Industrial Health,13(1), 1–13.
Eagan, T. M., et al. (2002). Nonresponse in a community cohort study: Predictors and consequences for exposure-disease associations. Journal of Clinical Epidemiology,55(8), 775–781.
Roberts, J. S., et al. (2004). Who seeks genetic susceptibility testing for Alzheimer’s disease? Findings from a multisite, randomized clinical trial. Genetics in Medicine,6(4), 197–203.
Huntington Study Group, P. I., et al. (2016). Clinical-genetic associations in the Prospective Huntington at Risk Observational Study (PHAROS): Implications for clinical trials. JAMA Neurology,73(1), 102–110.
Paulsen, J. S., et al. (2006). Preparing for preventive clinical trials: The predict-HD study. Archives of Neurology,63(6), 883–890.
Folstein, S. E. (1989). Huntington’s disease: A disorder of families. Baltimore: Johns Hopkins University Press.
Hayden, M. R., MacGregor, J. M., & Beighton, P. H. (1980). The prevalence of Huntington’s chorea in South Africa. South African Medical Journal,58, 193–196.
Narabayashi, H. (1973). Huntington’s chorea in Japan: Review of the literature. Advances in Neurology,1, 253–259.
Zhang, Y., et al. (2011). Indexing disease progression at study entry with individuals at-risk for Huntington disease. American Journal of Medical Genetics Part B-Neuropsychiatric Genetics,156B(7), 751–763.
Acknowledgements
Work on this manuscript was supported by the National Institutes of Health (NIH), National Institute of Neurological Disorders and Stroke (R01NS077946) and the National Center for Advancing Translational Sciences (UL1TR000433). In addition, a portion of this study sample was collected in conjunction with the Predict-HD study. The Predict-HD study was supported by the NIH, National Institute of Neurological Disorders and Stroke (R01NS040068), the NIH, Center for Inherited Disease Research (provided supported for sample phenotyping), and the CHDI Foundation (award to the University of Iowa). We thank the University of Iowa, the Investigators and Coordinators of this study, the study participants, the National Research Roster for Huntington Disease Patients and Families, the Huntington Study Group, and the Huntington’s Disease Society of America. We acknowledge the assistance of Jeffrey D. Long, Hans J. Johnson, Jeremy H. Bockholt, Roland Zschiegner, and Jane S. Paulsen. We also acknowledge Roger Albin, Kelvin Chou, and Henry Paulsen for the assistance with participant recruitment. The content is solely the responsibility of the authors and does not necessarily represent the official views of the NIH. HDQLIFE Site Investigators and Coordinators: Noelle Carlozzi, Praveen Dayalu, Stephen Schilling, Amy Austin, Matthew Canter, Siera Goodnight, Jennifer Miner, Nicholas Migliore (University of Michigan, Ann Arbor, MI); Jane Paulsen, Nancy Downing, Isabella DeSoriano, Courtney Shadrick, Amanda Miller (University of Iowa, Iowa City, IA); Kimberly Quaid, Melissa Wesson (Indiana University, Indianapolis, IN); Christopher Ross, Gregory Churchill, Mary Jane Ong (Johns Hopkins University, Baltimore, MD); Susan Perlman, Brian Clemente, Aaron Fisher, Gloria Obialisi, Michael Rosco (University of California Los Angeles, Los Angeles, CA); Michael McCormack, Humberto Marin, Allison Dicke (Rutgers University, Piscataway, NJ); Joel Perlmutter, Stacey Barton, Shineeka Smith (Washington University, St. Louis, MO); Martha Nance, Pat Ede (Struthers Parkinson’s Center); Stephen Rao, Anwar Ahmed, Michael Lengen, Lyla Mourany, Christine Reece, (Cleveland Clinic Foundation, Cleveland, OH); Michael Geschwind, Joseph Winer (University of California – San Francisco, San Francisco, CA), David Cella, Richard Gershon, Elizabeth Hahn, Jin-Shei Lai (Northwestern University, Chicago, IL).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflicts of interest
The authors declare that they have no conflict of interest.
Ethical approval
All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards. University of Michigan Medical School Institutional Review Board, HUM00055669, initial approval 2/1/2012. Cleveland Clinic Institutional Review Board, IRB# 13-460, initial approval 4/26/2013. Indiana University Institutional Review Board (IRB-01), Protocol # 1208009383, initial approval 9/7/2012. Johns Hopkins Medicine Institutional Review Board, Study # NA_00079341, initial approval 12/13/2012. University of Medicine & Dentistry of New Jersey (which was subsumed by Rutgers University) Institutional Review Board, Study ID Pro2012002196, initial approval 4/4/2013. Park Nicollet Institute Institutional Review Board, Study 04334-13-A, initial approval 11/15/2013. University of California San Francisco Institutional Review Board, IRB # 13-10880 Reference # 065701, initial approval 9/4/2013. University of California Los Angeles Institutional Review Board, IRB # 12-000743, initial approval 6/12/2012. University of Iowa Institutional Review Board, IRB ID # 201301724, initial approval 1/17/2013. Washington University in St. Louis Institutional Review Board, IRB ID # 201206052, initial approval 8/14/2012. Northwestern University Institutional Review Board deemed this study (STU00200337) was determined exempt (“Not Human Research Determination”) on 2/9/2015.
Informed consent
Informed consent was obtained from all individual participants included in the study.
Additional information
Publisher's Note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Rights and permissions
About this article
Cite this article
Carlozzi, N.E., Boileau, N.R., Paulsen, J.S. et al. Psychometric properties and responsiveness of Neuro-QoL Cognitive Function in persons with Huntington disease (HD). Qual Life Res 29, 1393–1403 (2020). https://doi.org/10.1007/s11136-019-02391-7
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11136-019-02391-7