• Medientyp: E-Artikel
  • Titel: Detection of early Alzheimer's disease in MCI patients by the combination of MMSE and an episodic memory test
  • Beteiligte: Pozueta, Ana; Rodríguez-Rodríguez, Eloy; Vazquez-Higuera, José Luis; Mateo, Ignacio; Sánchez-Juan, Pascual; González-Perez, Soraya; Berciano, José; Combarros, Onofre
  • Erschienen: Springer Science and Business Media LLC, 2011
  • Erschienen in: BMC Neurology
  • Sprache: Englisch
  • DOI: 10.1186/1471-2377-11-78
  • ISSN: 1471-2377
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: <jats:title>Abstract</jats:title> <jats:sec> <jats:title>Background</jats:title> <jats:p>Mild cognitive impairment (MCI) is a heterogeneous clinical entity that comprises the prodromal phase of Alzheimer's disease (Pr-AD). New biomarkers are useful in detecting Pr-AD, but they are not universally available. We aimed to investigate baseline clinical and neuropsychological variables that might predict progression from MCI to AD dementia.</jats:p> </jats:sec> <jats:sec> <jats:title>Methods</jats:title> <jats:p>All patients underwent a complete clinical and neuropsychological evaluation at baseline and every 6 months during a two-year follow-up period, with 54 out of 109 MCI patients progressing to dementia (50 of them progressed to AD dementia), and 55 remaining as stable MCI (S-MCI).</jats:p> </jats:sec> <jats:sec> <jats:title>Results</jats:title> <jats:p>A combination of MMSE and California Verbal Learning Test Long Delayed Total Recall (CVLT-LDTR) constituted the best predictive model: subjects scoring above 26/30 on MMSE and 4/16 on CVLT-LDTR had a negative predictive value of 93.93% at 2 years, whereas those subjects scoring below both of these cut-off scores had a positive predictive value of 80.95%.</jats:p> </jats:sec> <jats:sec> <jats:title>Conclusions</jats:title> <jats:p>Pr-AD might be distinguished from S-MCI at baseline using the combination of MMSE and CVLT-LDTR. These two neuropsychological predictors are relatively brief and may be readily completed in non-specialist clinical settings.</jats:p> </jats:sec>
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