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

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.4511.2007086
   PubMedGoogle Scholar
• 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-X
   Google Scholar
• 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.
   Google Scholar
• 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.2007.10.026
   PubMed Web of Science ®Google Scholar
• 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.2013.09.002
   PubMed Web of Science ®Google Scholar
• 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.0000000000000279
   PubMed Web of Science ®Google Scholar
• 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/45368
   PubMed Web of Science ®Google Scholar
• Cohen, J. (1988). Statistical power analysis for the behavioral sciences. Erlbaum Associates.
   Google Scholar
• 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.2016.01.004
   Google Scholar
• 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;2-7
   PubMed Web of Science ®Google Scholar
• 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.0000000000000376
   PubMed Web of Science ®Google Scholar
• 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.2010.05.1655
   Google Scholar
• 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/a0024338
   PubMed Web of Science ®Google Scholar
• 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.
   PubMed Web of Science ®Google Scholar
• 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.2015.01.007
   Google Scholar
• Hernández, B., & Velasco-Mondragón, H. E. (2000). Encuestas transversales. Salud Pública de México, 42(5), 447–455. https://doi.org/10.1590/S0036-36342000000500011
   PubMedGoogle Scholar
• Hernández-Sampieri, R. (2018). Metodología de la investigación: las rutas cuantitativa, cualitativa y mixta. México.
   Google Scholar
• 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/neu0000315
   PubMed Web of Science ®Google Scholar
• 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/acv047.104
   Web of Science ®Google Scholar
• Ley, N. 1090 de 2006. (2006). Ministerio de protección social. Colombia, Septiembre 06 del 2016.
   Google Scholar
• 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.2014.05.1220
   Google Scholar
• 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.2013.11.007
   PubMed Web of Science ®Google Scholar
• 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.0000000000000111
   PubMed Web of Science ®Google Scholar
• 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.0000213865.09806.92
   PubMed Web of Science ®Google Scholar
• 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.
   Google Scholar
• 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.
   PubMed Web of Science ®Google Scholar
• 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.
   Google Scholar
• Pradilla, G., Vesga, B., & Leon-Sarmiento, F. (2003). Estudio neuroepidemiológico nacional (EPINEURO) colombiano. Revista Panamericana de Salud Pública, 14(2), 104.
   PubMedGoogle Scholar
• 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.2020.107391
   PubMed Web of Science ®Google Scholar
• 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.
   Google Scholar
• 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/10.1080/13854046.2014.928748
   PubMed Web of Science ®Google Scholar
• 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.ar
   Google Scholar
• 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.pdf
   Google Scholar
• 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)01124-1
   Google Scholar
• 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.ba
   PubMed Web of Science ®Google Scholar
• 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/S0100-879X2001001000009
   PubMed Web of Science ®Google Scholar
• Shan, G. (2015). Improved confidence intervals for the youden index. PLoS One, 10(7), e0127272. https://doi.org/10.1371/journal.pone.0127272
   PubMed Web of Science ®Google Scholar
• 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/alzrt94
   PubMed Web of Science ®Google Scholar
• 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.2011.03.003
   PubMed Web of Science ®Google Scholar
• 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/20005470
   PubMedGoogle Scholar
• 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.2017.00307
   PubMed Web of Science ®Google Scholar
• 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.0000000000000223
   PubMed Web of Science ®Google Scholar
• 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.0b013e318191c7dd
   PubMed Web of Science ®Google Scholar
• World Health Organization and Alzheimer’s Disease International (ADI). (2013). Dementia: a public health priority. Demencia. https://doi.org/10.1016/S0304-5412(11)70067-1
   Google Scholar
• World Health Organization (WHO) (1992). Internacional statical classification of diseases and realed health problems (10th revision). Author.
   Google Scholar