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The development of a new computer adaptive test to evaluate chorea in Huntington disease: HDQLIFE Chorea

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Abstract

Purpose

Huntington’s disease (HD) is an autosomal dominant neurodegenerative disease associated with motor, behavioral, and cognitive deficits. The hallmark symptom of HD, chorea, is often the focus of HD clinical trials. Unfortunately, there are no self-reported measures of chorea. To address this shortcoming, we developed a new measure of chorea for use in HD, HDQLIFE Chorea.

Methods

Qualitative data and literature reviews were conducted to develop an initial item pool of 141 chorea items. An iterative process, including cognitive interviews, expert review, translatability review, and literacy review, was used to refine this item pool to 64 items. These 64 items were field tested in 507 individuals with prodromal and/or manifest HD. Exploratory and confirmatory factor analyses (EFA and CFA, respectively) were conducted to identify a unidimensional set of items. Then, an item response theory graded response model (GRM) and differential item functioning analyses were conducted to select the final items for inclusion in this measure.

Results

EFA and CFA supported the retention of 34 chorea items. GRM and DIF supported the retention of all of these items in the final measure. GRM calibration data were used to inform the selection of a 6-item, static short form and to program the HDQLIFE Chorea computer adaptive test (CAT). CAT simulation analyses indicated a 0.99 correlation between the CAT scores and the full item bank.

Conclusions

The new HDQLIFE Chorea CAT and corresponding 6-item short form were developed using established rigorous measurement development standards; this is the first self-reported measure developed to evaluate the impact of chorea on HRQOL in HD. This development work indicates that these measures have strong psychometric properties; future work is needed to establish test–retest reliability and responsiveness to change.

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References

  1. Ross, C. A., & Tabrizi, S. J. (2011). Huntington’s disease: From molecular pathogenesis to clinical treatment. Lancet Neurology, 10(1), 83–98.

    Article  CAS  PubMed  Google Scholar 

  2. Jankovic, J., & Roos, R. A. (2014). Chorea associated with Huntington’s disease: To treat or not to treat? Movement Disorders, 29(11), 1414–1418.

    Article  PubMed  Google Scholar 

  3. Walker, F. O. (2007). Huntington’s disease. Lancet, 369(9557), 218–228.

    Article  CAS  PubMed  Google Scholar 

  4. Grimbergen, Y. A., Knol, M. J., Bloem, B. R., Kremer, B. P., Roos, R. A., & Munneke, M. (2008). Falls and gait disturbances in Huntington’s disease. Movement Disorders, 23(7), 970–976.

    Article  PubMed  Google Scholar 

  5. Wheelock, V. L., Tempkin, T., Marder, K., Nance, M., Myers, R. H., Zhao, H., et al. (2003). Predictors of nursing home placement in Huntington disease. Neurology, 60(6), 998–1001.

    Article  CAS  PubMed  Google Scholar 

  6. Wexler, A. (2010). Stigma, history, and Huntington’s disease. Lancet, 376(9734), 18–19.

    Article  PubMed  Google Scholar 

  7. Ho, A. K., Gilbert, A. S., Mason, S. L., Goodman, A. O., & Barker, R. A. (2009). Health-related quality of life in Huntington’s disease: Which factors matter most? Movement Disorders, 24(4), 574–578.

    Article  PubMed  Google Scholar 

  8. Read, J., Jones, R., Owen, G., Leavitt, B. R., Coleman, A., Roos, R. A., et al. (2013). Quality of life in Huntington’s disease: A comparative study investigating the impact for those with pre-manifest and early manifest disease, and their partners. Journal of Huntingtons Disease, 2(2), 159–175.

    Google Scholar 

  9. Ready, R. E., Mathews, M., Leserman, A., & Paulsen, J. S. (2008). Patient and caregiver quality of life in Huntington’s disease. Movement Disorders, 23(5), 721–726.

    Article  PubMed  PubMed Central  Google Scholar 

  10. 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.

    Article  PubMed  Google Scholar 

  11. Huntington Study Group. (1996). Unified Huntington’s Disease Rating Scale: Reliability and consistency. Movement Disorders, 11(2), 136–142.

    Article  Google Scholar 

  12. Paulsen, J. S., Long, J. D., Ross, C. A., Harrington, D. L., Erwin, C. J., Williams, J. K., et al. (2014). Prediction of manifest Huntington’s disease with clinical and imaging measures: A prospective observational study. Lancet Neurol, 13(12), 1193–1201.

    Article  PubMed  PubMed Central  Google Scholar 

  13. US Department of Health and Human Services: Food and Drug Administration. (2006). Guidance for industry: Patient-reported outcome measures: Use in medical product development to support labeling claims: Draft guidance. Health and Quality of Life Outcomes, 4.

  14. Cella, D., Nowinski, C., Peterman, A., Victorson, D., Miller, D., Lai, J.-S., & Moy, C. (2011). The neurology quality of life measurement (Neuro-QOL) initiative. Archives of Physical Medicine and Rehabilitation, Supplement, 92(Suppl 1), S28–S36.

    Article  Google Scholar 

  15. Gershon, R. C., Lai, J. S., Bode, R., Choi, S., Moy, C., Bleck, T., Miller, D., Peterman, A., & Cella, D. (2011). 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.

  16. Cella, D., Riley, W., Stone, A., Rothrock, N., Reeve, B., Yount, S., et al. (2010). The patient-reported outcomes measurement information system (PROMIS) developed and tested in its first wave of adult self-reported health outcome item banks: 2005–2008. Journal of Clinical Epidemiology, 63, 1179–1194.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Cella, D. F., Yount, S., Rothrock, N., Gershon, R., Cook, K., Reeve, B., et al. (2007). The patient-reported outcomes measurement information system (PROMIS): Progress of an NIH Roadmap cooperative group during its first 2 years. Medical Care, 45(5 Suppl 1), S3–S11.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Cella, D., Yount, S., Rothrock, N., Gershon, R., Cook, K., Reeve, B., et al. (2007). The patient-reported outcomes measurement information system (PROMIS): Progress of an NIH Roadmap cooperative group during its first 2 years. Medical Care, 45(5 Suppl 1), S3–S11.

    Article  PubMed  PubMed Central  Google Scholar 

  19. PROMIS® Instrument Development and Psychometric Evaluation Scientific Standards. http://www.nihpromis.org/Documents/PROMIS_Standards_050212.pdf.

  20. Hanauer, D. A., Mei, Q., Law, J., Khanna, R., & Zheng, K. (2015). Supporting information retrieval from electronic health records: A report of University of Michigan’s 9-year experience in developing and using the electronic medical record search engine (EMERSE). Journal of Biomedical Informatics, 55, 290–300.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Paulsen, J. S., Hayden, M., Stout, J. C., Langbehn, D. R., Aylward, E., Ross, C. A., et al. (2006). Preparing for preventive clinical trials—the Predict-HD study. Archives of Neurology, 63(6), 883–890.

    Article  PubMed  Google Scholar 

  22. Carlozzi, N. E., Schilling, S. G., J.-S., L., Paulsen, J. S., Hahn, E. A., Perlmutter, J. S., Ross, C. A., Downing, N. R., Kratz, A. L., McCormack, M. K., Nance, M. A., Quaid, K. A., Stout, J., Gershon, R. C., Ready, R., Miner, J. A., Barton, S. K., Perlman, S. L., Rao, S. M., Frank, S., Shoulson, I., Marin, H., Geschwind, M. D., Dayalu, P., Foroud, T., Goodnight, S. M., & Cella, D. (Under Review). HDQLIFE: Development and assessment of health-related quality of life in Huntington disease (HD). Quality of Life Research.

  23. Shoulson, I., & Fahn, S. (1979). Huntington disease—clinical care and evaluation. Neurology, 29(1), 1–3.

    Article  CAS  PubMed  Google Scholar 

  24. Kline, R. B. (2005). Principles and practice of structural equation modeling (2nd ed.). New York: Guilford Press.

    Google Scholar 

  25. Bentler, P. M. (1990). Comparative fit indexes in structural models. Psychological Bulletin, 107(2), 238–246.

    Article  CAS  PubMed  Google Scholar 

  26. Hu, L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural Equation Modeling-a Multidisciplinary Journal, 6(1), 1–55.

    Article  Google Scholar 

  27. Hatcher, L. (1994). A step-by-step approach to using SAS for factor analysis and structural equation modeling. Cary, NC: SAS Institute Inc.

    Google Scholar 

  28. McDonald, R. P. (1999). Test theory: A unified treatment. Mahwah, NJ: Lawrence Erlbaum Associates Inc.

    Google Scholar 

  29. Reise, S. P., Morizot, J., & Hays, R. D. (2007). The role of the bifactor model in resolving dimensionality issues in health outcomes measures. Quality of Life Research, 16(Suppl 1), 19–31.

    Article  PubMed  Google Scholar 

  30. Cook, K. F., Kallen, M. A., & Amtmann, D. (2009). Having a fit: Impact of number of items and distribution of data on traditional criteria for assessing IRT’s unidimensionality assumption. Quality of Life Research, 18(4), 447–460.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Muthén, L. K., & Muthén, B. O. (2011). Mplus user’s guide. Los Angeles, CA: Muthén & Muthén.

    Google Scholar 

  32. Samejima, F., van der Liden, W. J., & Hambleton, R. (1996). The graded response model. In W. J. van der Liden (Ed.), Handbook of modern item response theory (pp. 85–100). NewYork, NY: Springer.

    Google Scholar 

  33. Crane, P. K., Gibbons, L. E., Jolley, L., & van Belle, G. (2006). Differential item functioning analysis with ordinal logistic regression techniques. DIFdetect and difwithpar. Medical Care, 44(11 Suppl 3), S115–S123.

    Article  PubMed  Google Scholar 

  34. Choi, S. W., Gibbons, L. E., & Crane, P. K. (2011). lordif: An R package for detecting differential item functioning using iterative hybrid ordinal logistic regression/item response theory and Monte Carlo simulations. Journal of Statistical Software, 39(8), 1–30.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Cai, L., Thissen, D., & du Toit, S. H. C. (2011). IRTPRO for windows [computer software]. Lincolnwood, IL: Scientific Software International.

    Google Scholar 

  36. Choi, S. W. (2009). Firestar: Computerized adaptive testing simulation program for polytomous item response theory models. Applied Psychological Measurement, 33(8), 644–645.

    Article  Google Scholar 

  37. Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). New York: Academic Press.

    Google Scholar 

  38. Carlozzi, N. E., Downing, N. R., McCormack, M. K., Schilling, S. G., Perlmutter, J. S., Hahn, E. A., Lai, J.-S., Frank, S., Quaid, K. A., Paulsen, J. S., Cella, D., Goodnight, S. M., Miner, J. A., & Nance, M. A. (Under Review). New measures to capture end of life concerns in Huntington disease: Meaning and purpose and concern with death and dying from HDQLIFE (a patient reported outcomes measurement system). Quality of Life Research.

  39. Carlozzi, N. E., Schilling, S. G., Lai, J.-S., Perlmutter, J. S., Nance, M. A., Waljee, J. F., Miner, J. A., Barton, S. K., Goodnight, S. M., & Dayalu, P. (Under Review). HDQLIFE: The development of two new computer adaptive tests, speech difficulties and swallowing difficulties. Quality of Life Research.

  40. Pringsheim, T., Wiltshire, K., Day, L., Dykeman, J., Steeves, T., & Jette, N. (2012). The incidence and prevalence of Huntington’s disease: A systematic review and meta-analysis. Movement Disorders, 27(9), 1083–1091.

    Article  PubMed  Google Scholar 

  41. Folstein, S. E. (1989). Huntington’s disease: A disorder of families. Baltimore: Johns Hopkins University Press.

    Google Scholar 

  42. 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.

    CAS  PubMed  Google Scholar 

  43. Narabayashi, H. (1973). Huntington’s chorea in Japan: Review of the literature. Advances in Neurology, 1, 253–259.

    Google Scholar 

  44. Duff, K., Paulsen, J., Mills, J., Beglinger, L. J., Moser, D. J., Smith, M. M., et al. (2010). Mild cognitive impairment in prediagnosed Huntington disease. Neurology, 75(6), 500–507.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  45. Tabrizi, S. J., Langbehn, D. R., Leavitt, B. R., Roos, R. A., Durr, A., Craufurd, D., 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.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Paulsen, J. S., Long, J. D., Johnson, H. J., Aylward, E. H., Ross, C. A., Williams, J. K., 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.

    Article  PubMed  PubMed Central  Google Scholar 

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Acknowledgments

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 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).

Funding

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 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).

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Correspondence to N. E. Carlozzi.

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Conflict of interest

Carlozzi, N.E. currently has research grants from the NIH; she is also supported by grant funding from the NIH, NIDILRR, and CHDI; she declares no conflicts of interest. Downing, N.R. declares no conflicts of interest. Schilling, S.G. has a research grant from NSF. He is also supported by grant funding from NIH. He declares no conflicts of interest. Lai J.-S. currently has research grants from the NIH; she declares no conflicts of interest. Goodnight, S.M. is supported by grant funding from the NIH and the Craig H. Neilsen Foundation; she declares no conflicts of interest. Miner, J.A. is supported by research grants from the NIH; she declares no conflict of interest. Frank, S. receives salary support from the Huntington Study Group for a study sponsored by Auspex Pharmaceuticals. There is no conflict of interest.

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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.

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Informed consent was obtained from all individual participants included in the study.

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Carlozzi, N.E., Downing, N.R., Schilling, S.G. et al. The development of a new computer adaptive test to evaluate chorea in Huntington disease: HDQLIFE Chorea. Qual Life Res 25, 2429–2439 (2016). https://doi.org/10.1007/s11136-016-1307-5

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