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Performance of the NINDS-CSN 5-Minute Protocol in a National Population-Based Sample

Published online by Cambridge University Press:  27 August 2014

Richard E. Kennedy*
Affiliation:
Department of Medicine, University of Alabama Birmingham, Birmingham, Alabama
Virginia G. Wadley
Affiliation:
Department of Medicine, University of Alabama Birmingham, Birmingham, Alabama
Leslie A. McClure
Affiliation:
Department of Biostatistics, University of Alabama Birmingham, Birmingham, Alabama
Abraham J. Letter
Affiliation:
WL Gore and Associates, Flagstaff, Arizona
Frederick W. Unverzagt
Affiliation:
Department of Psychiatry, Indiana University School of Medicine, Indianapolis, Indiana
Michael Crowe
Affiliation:
Department of Psychology, University of Alabama Birmingham, Birmingham, Alabama
David Nyenhius
Affiliation:
Hauenstein Neuroscience Center, Mercy Health Saint Mary’s, Grand Rapids, Michigan
Brendan J. Kelley
Affiliation:
Department of Neurology, Ohio State University, Columbus, Ohio
Bhumika Kana
Affiliation:
Department of Medicine, University of Alabama Birmingham, Birmingham, Alabama
Janice Marceaux
Affiliation:
Department of Psychology, University of Alabama Birmingham, Birmingham, Alabama
Manjula Kurella Tamura
Affiliation:
Department of Medicine, Stanford University, Stanford, California
Virginia Howard
Affiliation:
Department of Epidemiology, University of Alabama Birmingham, Birmingham, Alabama
George Howard
Affiliation:
Department of Medicine, University of Alabama Birmingham, Birmingham, Alabama
*
Correspondence and reprint requests to: Richard E. Kennedy, Division of Gerontology, Geriatrics, and Palliative Care, Department of Medicine, University of Alabama at Birmingham, 933 19th Street South, CH19-218R, Birmingham, AL. E-mail: [email protected]

Abstract

In 2006, the National Institute of Neurological Disorders and Stroke-Canadian Stroke Network (NINDS-CSN) Vascular Cognitive Impairment Harmonization Standards recommended a 5-Minute Protocol as a brief screening instrument for vascular cognitive impairment (VCI). We report demographically adjusted norms for the 5-Minute Protocol and its relation to other measures of cognitive function and cerebrovascular risk factors. We performed a cross-sectional analysis of 7199 stroke-free adults in the REasons for Geographic And Racial Differences in Stroke (REGARDS) study on the NINDS-CSN 5-Minute Protocol score. Total scores on the 5-Minute Protocol were inversely correlated with age and positively correlated with years of education, and performance on the Six-Item Screener, Word List Learning, and Animal Fluency (all p-values <.001). Higher cerebrovascular risk on the Framingham Stroke Risk Profile (FSRP) was associated with lower total 5-Minute Protocol scores (p <.001). The 5-Minute Protocol also differentiated between participants with and without confirmed stroke and with and without stroke symptom histories (p <.001). The NINDS-CSN 5-Minute Protocol is a brief, easily administered screening measure that is sensitive to cerebrovascular risk and offers a valid method of screening for cognitive impairment in populations at risk for VCI. (JINS, 2014, 20, 1–12)

Type
Research Articles
Copyright
Copyright © The International Neuropsychological Society 2014 

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References

Akaike, H. (1974). A new look at the statistical model identification. IEEE Transactions on Automatic Control, 19, 716723.CrossRefGoogle Scholar
Callahan, C.M., Unverzagt, F.W., Hui, S.L., Perkins, A.J., & Hendrie, H.C. (2002). Six-item screener to identify cognitive impairment among potential subjects for clinical research. Medical Care, 40, 771781.Google Scholar
Christie, J.D., Biester, R.C.P., Taichman, D.B., Shull, W.H. Jr., Hansen-Flaschen, J., Shea, J.A., & Hopkins, R.O. (2006). Formation and validation of a telephone battery to assess cognitive function in acute respiratory distress syndrome survivors. Journal of Critical Care, 21, 125132.Google Scholar
Ciol, M.A., Hoffman, J.M., Dudgeon, B.J., Shumway-Cook, A., Yorkston, K.M., & Chan, L. (2006). Understanding the use of weights in the analysis of data from multistage surveys. Archives of Physical Medicine and Rehabilitation, 87, 299303.CrossRefGoogle ScholarPubMed
D’Agostino, R.B., Wolf, P.A., Belanger, A.J., & Kannel, W.B. (1994). Stroke risk profile: Adjustment for antihypertensive medication. The Framingham Study. Stroke, 25, 4043.CrossRefGoogle ScholarPubMed
DeLong, E.R., DeLong, D.M., & Clarke-Pearson, D.L. (1988). Comparing the areas under two or more correlated receiver operating characteristic curves: A nonparametric approach. Biometrics, 44, 837845.Google Scholar
Elias, M.F., Sullivan, L.M., D’agostino, R.B., Elias, P.K., Beiser, A., Au, R., … Wolf, P.A. (2004). Framingham stroke risk profile and lowered cognitive performance. Stroke, 35, 404409.CrossRefGoogle ScholarPubMed
Freitas, S., Simões, M.R., Alves, L., & Santana, I. (2012). Montreal Cognitive Assessment: Influence of sociodemographic and health variables. Archives of Clinical Neuropsychology, 27, 165175.CrossRefGoogle ScholarPubMed
Freitas, S., Simões, M.R., Alves, L., Vicente, M., & Santana, I. (2012). Montreal Cognitive Assessment (MoCA): Validation study for vascular dementia. Journal of the International Neuropsychological Society, 18, 10311040.Google Scholar
Gorelick, P.B., Scuteri, A., Black, S.E., Decarli, C., Greenberg, S.M., Iadecola, C., … Council on Cardiovascular Surgery and Anesthesia (2011). Vascular contributions to cognitive impairment and dementia: A statement for healthcare professionals from the American Heart Association/American Stroke Association. Stroke, 42, 26722713.Google Scholar
Hachinski, V., Iadecola, C., Petersen, R.C., Breteler, M.M., Nyenhuis, D.L., Black, S.E., … Leblanc, G.G. (2006). National Institute of Neurological Disorders and Stroke-Canadian Stroke Network vascular cognitive impairment harmonization standards. Stroke, 37, 22202241.CrossRefGoogle ScholarPubMed
Hannah, M., & Quigley, P. (1996). Presentation of Ordinal Regression Analysis on the Original Scale. Biometrics, 52, 771775.CrossRefGoogle Scholar
Hasimoto, R., Meguro, K., Yamaguchi, S., Ishizaki, J., Ishii, H., Meguro, M., & Sekita, Y. (2004). Executive dysfunction can explain word-list learning disability in very mild Alzheimer’s disease: The Tajiri project. Psychiatry and Clinical Neurosciences, 58, 5460.CrossRefGoogle Scholar
Howard, V.J., Cushman, M., Pulley, L., Gomez, C.R., Go, R.C., Prineas, R.J., … Howard, G. (2005). The REasons for Geographic and Racial Differences in Stroke study: Objectives and design. Neuroepidemiology, 25, 135143.Google Scholar
Howard, V.J., Kleindorfer, D.O., Judd, S.E., McClure, L.A., Safford, M.M., Rhodes, J.D., … Howard, G. (2011). Disparities in stroke incidence contributing to disparities in stroke mortality. Annals of Neurology, 69, 619627.CrossRefGoogle ScholarPubMed
Ivnik, R.J., Smith, G.E., Petersen, R.C., Boeve, B.F., Kokmen, E., & Tangalos, E.G. (2000). Diagnostic accuracy of four approaches to interpreting neuropsychological test data. Neuropsychology, 14, 163177.Google Scholar
Jones, W.J., Williams, L.S., & Meschia, J.F. (2001). Validating the Questionnaire for Verifying Stroke-Free Status (QVSFS) by neurological history and examination. Stroke, 32, 22322236.Google Scholar
Kelley, B.J., McClure, L.A., Letter, A.J., Wadley, V.G., Unverzagt, F.W., Kissela, B.M., & Howard, G. (2013). Report of stroke-like symptoms predicts incident cognitive impairment in a stroke-free cohort. Neurology, 81, 113118.CrossRefGoogle Scholar
Kleindorfer, D., Judd, S., Howard, V.J., McClure, L., Safford, M.M., Cushman, M., … Howard, G. (2011). Self-reported stroke symptoms without a prior diagnosis of stroke or transient ischemic attack: A powerful new risk factor for stroke. Stroke, 42, 31223126.Google Scholar
Li, C., & Shepherd, B.E. (2012). A new residual for ordinal outcomes. Biometrika, 99, 473480.CrossRefGoogle ScholarPubMed
Melchior, L.A., Huba, G.J., Brown, V.B., & Reback, C.J. (1993). A short depression index for women. Educational and Psychological Measurement, 53, 11171125.CrossRefGoogle Scholar
Meschia, J.F., Brott, T.G., Chukwudelunzu, F.E., Hardy, J., Brown, R.D., Meissner, I., … O’Brien, P.C. (2000). Verifying the stroke-free phenotype by structured telephone interview. Stroke, 31, 10761080.CrossRefGoogle ScholarPubMed
Meschia, J.F., Lojacono, M.A., Miller, M.J., Brott, T.G., Atkinson, E.J., & O’Brien, P.C. (2004). Reliability of the questionnaire for verifying stroke-free status. Cerebrovascular Diseases, 17, 218223.CrossRefGoogle ScholarPubMed
Mitrushina, M.N., Boon, K.B., & D’Elia, L.F. (1999). Handbook of normative data for neuropsychological assessment. New York: Oxford University Press.Google Scholar
Mitsis, E.M., Jacobs, D., Luo, X., Andrews, H., Andrews, K., & Sano, M. (2010). Evaluating cognition in an elderly cohort via telephone assessment. International Journal of Geriatric Psychiatry, 25, 531539.Google Scholar
Morris, J.C., Heyman, A., Mohs, R.C., Hughes, J.P., van Belle, G., Fillenbaum, G., … Clark, C. (1989). The Consortium to Establish a Registry for Alzheimer’s Disease (CERAD). Part I. Clinical and neuropsychological assessment of Alzheimer’s disease. Neurology, 39, 11591165.Google Scholar
Nagelkerke, N.J.D. (1991). A note on a general definition of the coefficient of determination. Biometrika, 78, 691692.CrossRefGoogle Scholar
Nasreddine, Z.S., Phillips, N.A., Bédirian, V., Charbonneau, S., Whitehead, V., Collin, I., … Chertkow, H. (2005). The Montreal Cognitive Assessment, MoCA: A brief screening tool for mild cognitive impairment. Journal of the American Geriatrics Society, 53, 695699.Google Scholar
Prineas, R.J., Le, A., Soliman, E.Z., Zhang, Z.-M., Howard, V.J., Ostchega, Y., … Reasons for Geographic and Racial Differences in Stroke (REGARDS) Investigators. (2012). United States national prevalence of electrocardiographic abnormalities in black and white middle-age (45- to 64-Year) and older (≥65-Year) adults (from the Reasons for Geographic and Racial Differences in Stroke Study). American Journal of Cardiology, 109, 12231228.CrossRefGoogle ScholarPubMed
Radloff, L. (1977). The CES-D scale: A self report depression scale for research in the general population. Applied Psychological Measurement, 1, 385401.Google Scholar
Rapp, S.R., Legault, C., Espeland, M.A., Resnick, S.M., Hogan, P.E., Coker, L.H., … CAT Study Group. (2012). Validation of a cognitive assessment battery administered over the telephone. Journal of the American Geriatrics Society, 60, 16161623.Google Scholar
Shafer, A.B. (2006). Meta-analysis of the factor structures of four depression questionnaires: Beck, CES-D, Hamilton, and Zung. Journal of Clinical Psychology, 62, 123146.Google Scholar
Soliman, E.Z., Howard, G., Prineas, R.J., McClure, L.A., & Howard, V.J. (2010). Calculating Cornell voltage from nonstandard chest electrode recording site in the Reasons for Geographic And Racial Differences in Stroke study. Journal of Electrocardiology, 43, 209214.CrossRefGoogle ScholarPubMed
Strauss, E., Sherman, E.M.S., & Spreen, O. (2006). A compendium of neuropsychological tests. New York: Oxford University Press.Google Scholar
Taichman, D.B., Christie, J., Biester, R., Mortensen, J., White, J., Kaplan, S., … Hopkins, R.O. (2005). Validation of a brief telephone battery for neurocognitive assessment of patients with pulmonary arterial hypertension. Respiratory Research, 6, 39.Google Scholar
Tsivgoulis, G., Alexandrov, A.V., Wadley, V.G., Unverzagt, F.W., Go, R.C., Moy, C.S., … Howard, G. (2009). Association of higher diastolic blood pressure levels with cognitive impairment. Neurology, 73, 589595.CrossRefGoogle ScholarPubMed
Tsivgoulis, G., Judd, S., Letter, A.J., Alexandrov, A.V., Howard, G., Nahab, F., … Wadley, V.G. (2013). Adherence to a Mediterranean diet and risk of incident cognitive impairment. Neurology, 80, 16841692.Google Scholar
Unverzagt, F.W., McClure, L.A., Wadley, V.G., Jenny, N.S., Go, R.C., Cushman, M., … Howard, G. (2011). Vascular risk factors and cognitive impairment in a stroke-free cohort. Neurology, 77(19), 17291736.CrossRefGoogle Scholar
Unverzagt, F.W., Monahan, P.O., Moser, L.R., Zhao, Q., Carpenter, J.S., Sledge, G.W. Jr., … Champion, V.L. (2007). The Indiana University telephone-based assessment of neuropsychological status: A new method for large scale neuropsychological assessment. Journal of the International Neuropsychological Society, 13, 799806.Google Scholar
Wadley, V.G., Unverzagt, F.W., McGuire, L.C., Moy, C.S., Go, R., Kissela, B., … Howard, G. (2011). Incident cognitive impairment is elevated in the stroke belt: The REGARDS study. Annals of Neurology, 70, 229236.CrossRefGoogle ScholarPubMed
Wilson, R.S., Leurgans, S.E., Foroud, T.M., Sweet, R.A., Graff-Radford, N., Mayeux, R., … National Institute on Aging Late-Onset Alzheimer’s Disease Family Study Group (2010). Telephone assessment of cognitive function in the late-onset Alzheimer’s disease family study. Archives of Neurology, 67, 855861.CrossRefGoogle ScholarPubMed
Wolf, P.A., D’Agostino, R.B., Belanger, A.J., & Kannel, W.B. (1991). Probability of stroke: A risk profile from the Framingham Study. Stroke, 22, 312318.CrossRefGoogle ScholarPubMed
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