A multivariate model of time to conversion from mild cognitive impairment to Alzheimer’s disease

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dc.contributor.authorLópez García, María Eugenia
dc.contributor.authorTurrero Nogués, Agustín
dc.contributor.authorCuesta Prieto, Pablo
dc.contributor.authorRodríguez Rojo, Inmaculada Concepción
dc.contributor.authorBarabash Bustelo, Ana
dc.contributor.authorMarcos Dolado, Alberto
dc.contributor.authorMaestu Unturbe, Fernando
dc.contributor.authorFernández Lucas, Alberto Amable
dc.date.accessioned2024-01-08T12:17:09Z
dc.date.available2024-01-08T12:17:09Z
dc.date.issued2020-09-04
dc.description.abstractThe present study was aimed at determining which combination of demographic, genetic, cognitive, neurophysiological, and neuroanatomical factors may predict differences in time to progression from mild cognitive impairment (MCI) to Alzheimer’s disease (AD). To this end, a sample of 121 MCIs was followed up during a 5-year period. According to their clinical outcome, MCIs were divided into two subgroups: (i) the “progressive” MCI group (n = 46; mean time to progression 17 ± 9.73 months) and (ii) the “stable” MCIgroup (n = 75; mean time of follow-up 31.37 ± 14.58 months). Kaplan–Meier survival analyses were applied to explore each variable’s relationship with the progression to AD. Once potential predictors were detected, Cox regression analyses were utilized to calculate a parsimonious model to estimate differences in time to progression. The final model included three variables (in order of relevance): left parahippocampal volume (corrected by intracranial volume, LP_ ICV), delayed recall (DR), and left inferior occipital lobe individual alpha peak frequency (LIOL_IAPF). Those MCIs with LP_ICV volume, DR score, and LIOL_IAPF value lower than the defined cutoff had 6 times, 5.5 times, and 3 times higher risk of progression to AD, respectively. Besides, when the categories of the three variables were “unfavorable” (i.e., values below the cutoff), 100% of cases progressed to AD at the end of follow-up. Our results highlighted the relevance of neurophysiological markers as predictors of conversion (LIOL_IAPF) and the importance of multivariate models that combine markers of different nature to predict time to progression from MCI to dementia.
dc.description.departmentDepto. de Medicina Legal, Psiquiatría y Patología
dc.description.facultyFac. de Medicina
dc.description.refereedTRUE
dc.description.statuspub
dc.identifier.doi10.1007/s11357-020-00260-7
dc.identifier.issn2509-2715
dc.identifier.issn2509-2723
dc.identifier.urihttps://hdl.handle.net/20.500.14352/91801
dc.issue.number6
dc.journal.titleGeroScience
dc.language.isoeng
dc.page.final1732
dc.page.initial1715
dc.publisherSpringer
dc.relation.projectIDPSI2009-14415-C03-01
dc.relation.projectIDPSI2012-38375-C03-01
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internationalen
dc.rights.accessRightsembargoed access
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject.cdu616.894-053.9
dc.subject.keywordMild cognitive impairment
dc.subject.keywordAlzheimer’s disease
dc.subject.keywordTimeto progression
dc.subject.keywordMedial–temporalvolume
dc.subject.keywordIndividual alpha peak frequency
dc.subject.keywordEpisodic memory
dc.subject.keywordDelayed recall
dc.subject.ucmCiencias Biomédicas
dc.subject.unesco32 Ciencias Médicas
dc.titleA multivariate model of time to conversion from mild cognitive impairment to Alzheimer’s disease
dc.typejournal article
dc.type.hasVersionAM
dc.volume.number42
dspace.entity.typePublication
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