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Video Experimental Relacionado

Updated: Jan 7, 2026

A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
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Manifestaciones Clínicas

Paula Aduen1, John A Lucas1, Christian Lachner1

  • 1Mayo Clinic in Florida, Jacksonville, FL, USA.

Alzheimer's & dementia : the journal of the Alzheimer's Association
|December 25, 2025
PubMed
Resumen
Este resumen es generado por máquina.

Las herramientas de cribado cognitivo como la Evaluación Cognitiva de Montreal (MoCA) pueden clasificar erróneamente el deterioro cognitivo en adultos negros americanos (BA) e hispanos/latinos (H/L). Los factores sociodemográficos influyen significativamente en el rendimiento, lo que requiere una cuidadosa interpretación en poblaciones diversas.

Palabras clave:
factores sociodemográficoscribado cognitivoMoCAadultos negros americanosadultos hispanos/latinosdeterioro cognitivoclasificación erróneapoblaciones diversas

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Área de la Ciencia:

  • Neurociencia; Gerontología; Salud Pública

Sus antecedentes:

  • Las herramientas de cribado cognitivo tienen como objetivo la detección fiable del deterioro cognitivo.; Los adultos negros americanos (BA) e hispanos/latinos (H/L) a menudo obtienen puntuaciones más bajas en estas herramientas debido a la demografía y los determinantes sociales de la salud (SSDoH).; Este estudio examinó el rendimiento de la Evaluación Cognitiva de Montreal (MoCA) en adultos diversos y cognitivamente normales para comprender los factores de clasificación errónea.

Objetivo del estudio:

  • Caracterizar el rendimiento de MoCA en adultos etnorracialmente diversos y cognitivamente normales.; Identificar factores sociodemográficos y biológicos que contribuyen a la posible clasificación errónea del deterioro cognitivo.; Evaluar el impacto de los puntos de corte MoCA ajustados para los subgrupos BA y H/L.

Principales métodos:

  • 105 participantes BA y H/L cognitivamente normales se sometieron a evaluación neurológica, pruebas neuropsicológicas y neuroimagen (RM, PET de amiloide y tau).; Se aplicaron puntos de corte MoCA ajustados demográficamente: ≤22 para BA y ≤24 para H/L.; La regresión logística jerárquica analizó los predictores de puntuaciones bajas de MoCA, incluida la edad, la educación, el Índice de Privación del Área (ADI) y la carga de amiloide.

Principales resultados:

  • 40% de los participantes H/L y 17% de los participantes BA obtuvieron puntuaciones por debajo de los umbrales MoCA ajustados demográficamente.; Para H/L, la edad, la educación, el ADI y la carga de amiloide predijeron mejor las puntuaciones bajas de MoCA (R²=0.43).; Para BA, la edad, la educación y el ADI fueron los principales predictores (R²=0.47), y la educación se acercó a la significación.

Conclusiones:

  • Los factores sociodemográficos continúan influyendo en el rendimiento de MoCA en personas cognitivamente normales, incluso con puntos de corte ajustados.; Estos factores afectan de manera diferente a los participantes BA/AA y WH/L.; Los entornos clínicos y de investigación deben considerar cuidadosamente estos factores para evitar el sobrediagnóstico de deterioro cognitivo en poblaciones diversas.