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Manifestaciones Clínicas

Howard Chertkow1

  • 1Rotman Research Institute, Baycrest Health Sciences, Toronto, ON, Canada.

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

Se proponen nuevos criterios diagnósticos para el Síndrome de Alzheimer (SA), que distinguen a los pacientes con y sin características motoras y predicen la presencia de amiloide utilizando marcadores clínicos. Este enfoque apoya a los médicos que carecen de acceso a biomarcadores.

Palabras clave:
Síndrome de Alzheimercriterios diagnósticosmarcadores clínicosamiloidedemenciadiagnóstico neurológico

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Área de la Ciencia:

  • Neurología
  • Biomarcadores
  • Diagnóstico Clínico

Sus antecedentes:

  • Critica un marco de diagnóstico de EA propuesto que enfatiza demasiado los biomarcadores.
  • Destaca el impacto negativo del diagnóstico centrado en biomarcadores en los médicos y pacientes sin acceso a biomarcadores.
  • Enfatiza el valor de la agudeza clínica en el diagnóstico neurológico.

Objetivo del estudio:

  • Proponer una terminología y algoritmos de diagnóstico revisados para la enfermedad de Alzheimer (EA).
  • Capacitar a los médicos que carecen de acceso directo a biomarcadores.
  • Mejorar la precisión y diferenciación diagnóstica en pacientes con demencia.

Principales métodos:

  • Revisión de literatura sobre el diagnóstico clínico de la demencia.
  • Revisión de bases de datos de 52 sujetos con probable EA y estado de amiloide conocido.
  • Análisis de 145 sujetos del conjunto de datos COMPASS-ND de Canadá con estado de amiloide conocido.

Principales resultados:

  • Propone distinguir a los pacientes con demencia por la presencia o ausencia de características motoras.

Conclusiones:

  • Aboga por cambios terminológicos para incorporar un lenguaje accesible a los biomarcadores sin desempoderar a los médicos.
  • Sugiere que los marcadores clínicos accesibles pueden lograr una buena precisión en la predicción de la presencia de amiloide.
  • Recomienda una mayor investigación y replicación en diversas poblaciones globales.