Mostrar el registro sencillo del ítem

Diagnostic accuracy of the UDS 3.0 neuropsychological battery in a cohort with Alzheimer’s disease in Colombia

dc.contributor.authorPorto, Maria Fernandaspa
dc.contributor.authorBenitez Agudelo, Juan Camilospa
dc.contributor.authorAguirre-Acevedo, Daniel Camilospa
dc.contributor.authorBarceló-Martinez, Ernestospa
dc.contributor.authorAllegri, Ricardo Franciscospa
dc.date.accessioned2021-04-07T22:36:57Z
dc.date.available2021-04-07T22:36:57Z
dc.date.issued2021-03-24
dc.identifier.issn2327-9095spa
dc.identifier.issn2327-9109spa
dc.identifier.urihttps://hdl.handle.net/11323/8104spa
dc.description.abstractAlzheimer’s disease (AD) is a neurodegenerative disease that causes a gradual loss of cognitive functions and limits daily activities performance. Early diagnosis of AD is essential to start timely treatment. This study aimed to validate the Uniform Data Set neuropsychological battery version 3.0 (UDS 3.0) in a Colombian cohort. This study is a cross-sectional type, consecutive, incidental, with 143 persons, divided into two groups: 48 diagnosed AD cases and 95 healthy controls, between the ages of 50 and 80+, and between 1 and 19+ years of education.The results indicate differences between the control group and the AD group in most battery tests. A significant correlation was found between the Montreal Cognitive Assessment (MoCA), Multilingual Naming Test (MINT), Craft Story, Benson Figure Test, P-word and F-word Phonemic Fluency Test, and their respective reference tests. Cutoff points were found based on the Youden index for each sub-test. The results indicate that all sub-tests are above the reference line of the ROC curve. The use of the UDS 3.0 in Colombia would help improving clinical diagnostic routes because of its high accuracy and high correlation with tests that measure general impairment; it has good sensitivity and specificity, and it can be a useful tool for AD.spa
dc.format.mimetypeapplication/pdfspa
dc.language.isoeng
dc.publisherCorporación Universidad de la Costaspa
dc.rightsCC0 1.0 Universalspa
dc.rights.urihttp://creativecommons.org/publicdomain/zero/1.0/spa
dc.sourceApplied Neuropsychology: Adultspa
dc.subjectAlzheimer’s diseasespa
dc.subjectROC curvespa
dc.subjectSensitivityspa
dc.subjectSpecificityspa
dc.subjectUniform Data Setspa
dc.titleDiagnostic accuracy of the UDS 3.0 neuropsychological battery in a cohort with Alzheimer’s disease in Colombiaspa
dc.typePre-Publicaciónspa
dc.source.urlhttps://www.tandfonline.com/eprint/VKCRZ8YKAQEFH8FQFGKG/full?target=10.1080/23279095.2021.1897007spa
dc.rights.accessrightsinfo:eu-repo/semantics/openAccessspa
dc.identifier.doihttps://doi.org/10.1080/23279095.2021.1897007spa
dc.date.embargoEnd2022-03-24
dc.identifier.instnameCorporación Universidad de la Costaspa
dc.identifier.reponameREDICUC - Repositorio CUCspa
dc.identifier.repourlhttps://repositorio.cuc.edu.co/spa
dc.relation.references• Aguirre-Acevedo, D. C., Gómez, R. D., Moreno, S., Henao-Arboleda, E., Motta, M., Muñoz, C., Arana, A., Pineda, D., & Lopera, F. (2007). Validez y fiabilidad de la batería neuropsicológica CERAD-Col. Revista de Neurologia, 45(11), 655. https://doi.org/10.33588/rn.4511.2007086spa
dc.relation.references• Allegri, R. F., Arizaga, R. L., Bavec, C. V., Colli, L. P., Demey, I., Fernandez, M. C., Frontera, S. A., Garau, M. L., Jiménez, J. J., Golimstok, Á., Kremer, J., Labos, J., Mangone, C., Ollari, J. A., Rojas, G., Salmini, O., Ure, J. A., & Zuin, R. (2011). Enfermedad de Alzheimer. Guía de práctica clínica. Neurología Argentina, 3(2), 120–137. https://doi.org/10.1016/S1853-0028(11)70026-Xspa
dc.relation.references• American Psychiatric Association (2014). Guía de consulta de los criterios diagnósticos del DSM-5®: Spanish Edition of the Desk Reference to the Diagnostic Criteria From DSM-5®. American Psychiatric Pub.spa
dc.relation.references• Apostolova, L. G., & Thompson, P. M. (2008). Mapping progressive brain structural changes in early Alzheimer' sdisease and mild cognitive impairment. Neuropsychologia, 46(6), 1597–1612. https://doi.org/10.1016/j.neuropsychologia.2007.10.026spa
dc.relation.references• Benson, G., De Felipe, J., Xiaodong , & Sano, M. (2014). Performance of Spanish-speaking community-dwelling elders in the United States on the Uniform Data Set. Alzheimer’s and Dementia, 10(5), 338–343. https://doi.org/10.1016/j.jalz.2013.09.002spa
dc.relation.references• Besser, L., Kukull, W., Knopman, D. S., Chui, H., Galasko, D., Weintraub, S., Jicha, G., Carlsson, C., Burns, J., Quinn, J., Sweet, R., Rascovsky, K., Teylan, M., Beekly, D., Thomas, G., Bollenbeck, M., Monsell, S., Mock, C., Hua Zhou, X., Thomas, N., … Morris, J. (2018). Version 3 of the National Alzheimer's Coordinating Center's Uniform Data Set. Alzheimer Disease and Associated Disorders, 32(4), 351–358. https://doi.org/10.1097/WAD.0000000000000279spa
dc.relation.references• Ciesielska, N., Sokołowski, R., Mazur, E., Podhorecka, M., Polak-Szabela, A., & Kędziora-Kornatowska, K. (2016). Is the Montreal Cognitive Assessment (MoCA) test better suited than the Mini-Mental State Examination (MMSE) in mild cognitive impairment (MCI) detection among people aged over 60? Meta-analysis. Psychiatria Polska, 50(5), 1039–1052. https://doi.org/10.12740/PP/45368spa
dc.relation.references• Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Erlbaum Associates.spa
dc.relation.references• Crivelli, L., Bonetto, M., Russo, M. J., Farez, M. F., Prado, C., Campos, J., Cohen, G., Chrem Méndez, P., Fernández Suarez, M., Sabe, L. R., & Allegri, R. F. (2016). Batería neuropsicológica para la predicción de la calidad de manejo vehicular en sujetos con demencia leve. Neurología Argentina, 8(2), 80–88. https://doi.org/10.1016/j.neuarg.2016.01.004spa
dc.relation.references• Cronin-Stubbs, D., Dekosky, S. T., Morris, J. C., & Evans, D. A. (2000). Promoting interactions with basic scientists and clinicians: The NIA Alzheimer’s disease data coordinating center. Statistics in Medicine, 19(11–12), 1453–1461. https://doi.org/10.1002/(SICI)1097-0258(20000615/30)19:11/12<1453::AID-SIM437>3.0.CO;2-7spa
dc.relation.references• Culhane, J. E., Chan, K. C., Teylan, M. A., Chen, Y. C., Mock, C., Gauthreaux, K., & Kukull, W. A. (2020). Factor consistency of neuropsychological test battery versions in the NACC Uniform Data Set. Alzheimer Disease and Associated Disorders, 34(2), 175–177. https://doi.org/10.1097/WAD.0000000000000376spa
dc.relation.references• De Santi, S., Pirraglia, E., Ferris, S. H., Morris, J. C., Weintraub, S., & Johnson, N. (2010). Robust norms for the ADC-UDS cognitive test battery. Alzheimer’s & Dementia, 6(4), 495–496. https://doi.org/10.1016/j.jalz.2010.05.1655spa
dc.relation.references• Fritz, C. O., Morris, P. E., & Richler, J. J. (2012). Effect size estimates: Current use, calculations, and interpretation. Journal of Experimental Psychology. General, 141(1), 2–18. https://doi.org/10.1037/a0024338spa
dc.relation.references• Gil, L., Ruiz De Sánchez, C., Gil, F., Romero, S. J., & Pretelt Burgos, F. (2015). Validation of the Montreal Cognitive Assessment (MoCA) in Spanish as a screening tool for mild cognitive impairment and mild dementia in patients over 65 years old in Bogotá, Colombia. International Journal of Geriatric Psychiatry, 30(6), 655–662.spa
dc.relation.references• González, A. M., Sánchez, J. R. P., & Chicote, A. C. (2015). Diagnóstico diferencial etiopatogénico de la demencia: otras demencias. Medicine (Spain), 11(72), 4345–4349. https://doi.org/10.1016/j.med.2015.01.007spa
dc.relation.references• Hernández, B., & Velasco-Mondragón, H. E. (2000). Encuestas transversales. Salud Pública de México, 42(5), 447–455. https://doi.org/10.1590/S0036-36342000000500011spa
dc.relation.references• Hernández-Sampieri, R. (2018). Metodología de la investigación: las rutas cuantitativa, cualitativa y mixta. México.spa
dc.relation.references• John, S. E., Gurnani, A. S., Bussell, C., Saurman, J. L., Griffin, J. W., & Gavett, B. E. (2016). The effectiveness and unique contribution of neuropsychological tests and the δ latent phenotype in the differential diagnosis of dementia in the uniform data set. Neuropsychology, 30(8), 946–960. https://doi.org/10.1037/neu0000315spa
dc.relation.references• John, S., Gurnani, A., & Gavett, B. (2015). B-08Use of the latent dementia phenotype for differential diagnosis in the NACC UDS. Archives of Clinical Neuropsychology, 30(6), 524.4–524. https://doi.org/10.1093/arclin/acv047.104spa
dc.relation.references• Ley, N. 1090 de 2006. (2006). Ministerio de protección social. Colombia, Septiembre 06 del 2016.spa
dc.relation.references• Lun, T. Y. (2014). The Alzheimer’s disease centers Uniform Data Set (UDS): Using various algorithms to predict dementia types with MMSE and CDR NACC is funded by the national institute on aging (Uo1 Ag016976). Alzheimer's & Dementia, 10(4), P676–P676. https://doi.org/10.1016/j.jalz.2014.05.1220spa
dc.relation.references• Mathews, M., Abner, E., Kryscio, R., Jicha, G., Cooper, G., Smith, C., Caban-Holt, A., & Schmitt, F. A. (2014). Diagnostic accuracy and practice effects in the National Alzheimer’s Coordinating Center Uniform Data Set neuropsychological battery. Alzheimer's & Dementia, 10(6), 675–683. https://doi.org/10.1016/j.jalz.2013.11.007spa
dc.relation.references• Monsell, S. E., Dodge, H. H., Zhou, X. H., Bu, Y., Besser, L. M., Mock, C., Hawes, S. E., Kukull, W. A., & Weintraub, S. (2016). Results from the NACC uniform data set neuropsychological battery crosswalk study. Alzheimer Disease and Associated Disorders, 30(2), 134–139. https://doi.org/10.1097/WAD.0000000000000111spa
dc.relation.references• Morris, J. C., Weintraub, S., Chui, H. C., Cummings, J., DeCarli, C., Ferris, S., Foster, N., Galasko, D., Graff-Radford, N., Peskind, E. R., Beekly, D., Ramos, E. M., & Kukull, W. A. (2006). The Uniform Data Set (UDS): Clinical and cognitive variables and descriptive data from Alzheimer disease centers. Alzheimer Disease and Associated Disorders, 20(4), 210–216. https://doi.org/10.1097/01.wad.0000213865.09806.92spa
dc.relation.references• Ospina García, N. A. (2015). Adaptación y validación en Colombia del addenbrooke’s cognitive examination-revisado (ACE-R) en pacientes con deterioro cognoscitivo leve y demencia. Departamento de Medicina Interna.spa
dc.relation.references• Phillips, C. D., & Morris, J. N. (1997). The potential for using administrative and clinical data to analyze outcomes for the cognitively impaired: An assessment of the Minimum Data Set for nursing homes. Alzheimer Disease and Associated Disorders, 11, 162–167.spa
dc.relation.references• Porto, M. F., Russo, M. J., & Allegri, R. (2018). Batería neuropsicológica Set de Datos Uniformes (UDS) para la evaluación de enfermedad de Alzheimer y deterioro cognitivo leve: Una revisión sistemática. Revista Ecuatoriana de Neurología, 27(2), 55–62.spa
dc.relation.references• Pradilla, G., Vesga, B., & Leon-Sarmiento, F. (2003). Estudio neuroepidemiológico nacional (EPINEURO) colombiano. Revista Panamericana de Salud Pública, 14(2), 104.spa
dc.relation.references• Putcha, D., Dickerson, B. C., Brickhouse, M., Johnson, K. A., Sperling, R. A., & Papp, K. V. (2020). Word retrieval across the biomarker-confirmed Alzheimer's disease syndromic spectrum. Neuropsychologia, 140, 107391. https://doi.org/10.1016/j.neuropsychologia.2020.107391spa
dc.relation.references• Rosselli, D., Ardila, A., Pradilla, G., Morillo, L., Bautista, L., Rey, O., & Camacho, M. (2000). The Mini-Mental State Examination as a selected diagnostic test for dementia: a Colombian population study. GENECO. Revista de neurologia, 30(5), 428–432.spa
dc.relation.references• Russo, M. J., Iturry, M., Sraka, M. A., Bartoloni, L., Carnero Pardo, C., & Allegri, R. F. (2014). Diagnostic accuracy of the phototest for cognitive impairment and dementia in argentina. The Clinical Neuropsychologist, 28(5), 826–840. https://doi.org/10.1080/13854046.2014.928748spa
dc.relation.references• Salazar, A., Pereira, A., Guzmán, J., Rubio, A., Guzmán, V., Obando, K., Guevara, N. (2016). Validación colombiana ADAS cog. Revista Argentina de Neuropsicología, 28, 22–38. http://www.revneuropsi.com.arspa
dc.relation.references• Sánchez, C. R., Nariño, D., Fernando, J., & Cerón, M. (2010). Epidemiología y carga de la Enfermedad de Alzheimer. Acta Neurológica Colombiana, 26(3), 87–94. https://www.acnweb.org/acta/acta_2010_26_Supl3_1_87-94.pdfspa
dc.relation.references• Scheltens, P., Blennow, K., Breteler, M. B., De Strooper, B., Frisoni, G. B., Salloway, S., & Van Der Flier, W. M. (2016). Alzheimer’s disease. The Lancet Neurology, 388(10043), 505–517. https://doi.org/10.1016/S0140-6736(15)01124-1spa
dc.relation.references• Schisterman, E. F., Perkins, N. J., Liu, A., & Bondell, H. (2005). Optimal cut-point and its corresponding Youden Index to discriminate individuals using pooled blood samples. Epidemiology (Cambridge, Mass.), 16 (1), 73–81. https://doi.org/10.1097/01.ede.0000147512.81966.baspa
dc.relation.references• Schultz, R. R., Siviero, M. O., & Bertolucci, P. H. F. (2001). ADAS-Cog in a Brazilian sample. Brazilian Journal of Medical and Biological Research, 34(10), 1295–1302. https://doi.org/10.1590/S0100-879X2001001000009spa
dc.relation.references• Shan, G. (2015). Improved confidence intervals for the youden index. PLoS One, 10(7), e0127272. https://doi.org/10.1371/journal.pone.0127272spa
dc.relation.references• Shirk, S. D., Mitchell, M. B., Shaughnessy, L. W., Sherman, J. C., Locascio, J. J., Weintraub, S., & Atri, A. (2011). A web-based normative calculator for the uniform data set (UDS) neuropsychological test battery. Alzheimer's Research & Therapy, 3(6), 32. https://doi.org/10.1186/alzrt94spa
dc.relation.references• Sperling, R. A., Aisen, P. S., Beckett, L. A., Bennett, D. A., Craft, S., Fagan, A. M., Iwatsubo, T., Jack, C. R., Kaye, J., Montine, T. J., Park, D. C., Reiman, E. M., Rowe, C. C., Siemers, E., Stern, Y., Yaffe, K., Carrillo, M. C., Thies, B., Morrison-Bogorad, M., Wagster, M. V., & Phelps, C. H. (2011). Toward defining the preclinical stages of Alzheimer's disease: recommendations from the National Institute on Aging-Alzheimer's Association workgroups on diagnostic guidelines for Alzheimer's disease. Alzheimer's & Dementia, 7(3), 280–292. https://doi.org/10.1016/j.jalz.2011.03.003spa
dc.relation.references• Thompson, P. M., & Apostolova, L. G. (2007). Computational anatomical methods as applied to ageing and dementia. The British Journal of Radiology, 80(special_issue_2), S78–S91. https://doi.org/10.1259/BJR/20005470spa
dc.relation.references• Trevethan, R. (2017). Sensitivity, specificity, and predictive values: foundations, pliabilities, and pitfalls in research and practice. Frontiers in Public Health, 5, 307. https://doi.org/10.3389/fpubh.2017.00307spa
dc.relation.references• Weintraub, S., Besser, L., Dodge, H. H., Teylan, M., Ferris, S., Goldstein, F. C., Giordani, B., Kramer, J., Loewenstein, D., Marson, D., Mungas, D., Salmon, D., Welsh-Bohmer, K., Zhou, X.-H., Shirk, S. D., Atri, A., Kukull, W. A., Phelps, C., & Morris, J. C. (2018). Version 3 of the Alzheimer Disease Centers’ Neuropsychological Test Battery in the Uniform Data Set (UDS). Alzheimer Disease and Associated Disorders, 32(1), 10–18. https://doi.org/10.1097/WAD.0000000000000223spa
dc.relation.references• Weintraub, S., Salmon, D., Mercaldo, N., Ferris, S., Graff-Radford, N. R., Chui, H., Cummings, J., DeCarli, C., Foster, N. L., Galasko, D., Peskind, E., Dietrich, W., Beekly, D. L., Kukull, W. A., & Morris, J. C. (2009). The Alzheimer’s disease centers’ Uniform Data Set (UDS): The neuropsychologic test battery. Alzheimer Disease and Associated Disorders, 23(2), 91–101. https://doi.org/10.1097/WAD.0b013e318191c7ddspa
dc.relation.references• World Health Organization and Alzheimer’s Disease International (ADI). (2013). Dementia: a public health priority. Demencia. https://doi.org/10.1016/S0304-5412(11)70067-1spa
dc.relation.references• World Health Organization (WHO) (1992). Internacional statical classification of diseases and realed health problems (10th revision). Author.spa
dc.type.coarhttp://purl.org/coar/resource_type/c_816bspa
dc.type.contentTextspa
dc.type.driverinfo:eu-repo/semantics/preprintspa
dc.type.redcolhttp://purl.org/redcol/resource_type/ARTOTRspa
dc.type.versioninfo:eu-repo/semantics/acceptedVersionspa
dc.type.coarversionhttp://purl.org/coar/version/c_ab4af688f83e57aaspa
dc.rights.coarhttp://purl.org/coar/access_right/c_abf2spa


Ficheros en el ítem

Thumbnail
Nombre:
Diagnostic accuracy of the UDS ...
Tamaño:
300.0Kb
Formato:
PDF
Ver/
Thumbnail
Nombre:
license_rdf
Tamaño:
701bytes
Formato:
application/rdf+xml
Ver/

Este ítem aparece en la(s) siguiente(s) colección(ones)

  • Artículos científicos [3154]
    Artículos de investigación publicados por miembros de la comunidad universitaria.

Mostrar el registro sencillo del ítem

CC0 1.0 Universal
Excepto si se señala otra cosa, la licencia del ítem se describe como CC0 1.0 Universal