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Long-term predictive accuracy of the ‘mild cognitive impairment due to Alzheimer's disease’ criteria

2025-09-15Journal article Open access
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dc.contributor.authorCardoso, Sandra
dc.contributor.authorMontalvo, Alexandre
dc.contributor.authorMaroco, João
dc.contributor.authorSilva, Dina
dc.contributor.authorAlves, Luísa
dc.contributor.authorGuerreiro, Manuela
dc.contributor.authorMendonça, Alexandre de
dc.date.accessioned2025-10-02T13:21:00Z
dc.date.available2025-10-02T13:21:00Z
dc.date.issued2025-09-15
dc.description.abstractBackground: The development and clinical use of biomarkers has dramatically changed the framework of Alzheimer’s disease (AD) management, allowing the diagnosis at the mild cognitive impairment (MCI) stage. In 2015 we compared the prevalence and prognosis of AD at the MCI stage according to different criteria available at that time, and we found that the National Institute of Aging-Alzheimer Association (NIA-AA) criteria provided higher predictive accuracy for AD dementia after 3 years. Since then, we adopted these criteria in clinical practice. Objective: To evaluate the long-term predictive accuracy of the ‘MCI due to AD - high likelihood’ criteria by taking advantage from an extended follow-up in a memory clinic setting. Methods: Patients were diagnosed according to the ‘MCI due to AD - high likelihood’ criteria and followed up until conversion to dementia. Results: One hundred and fourteen patients with ‘MCI due to AD - high likelihood’ were enrolled in the study and followed-up for 3.0±1.8 [0.4–8.3] years. During the follow-up 106 (93.0%) patients progressed to dementia, 2 (1.8%) had stroke, 6 (5.3%) died, and none remained in MCI or reverted to normal cognitive status. The average survival time remaining in MCI, analyzed with Kaplan-Meier curve, was 3.2 (95% CI 2.9–3.6) years. Using a multivariate Cox proportional hazards regression model, patients with higher Mini-Mental State Examination kept the MCI status longer. Conclusions: The diagnostic criteria of NIA-AA ‘MCI due to AD - high likelihood’ have an excellent long-term predictive accuracy in a memory clinic setting.eng
dc.description.sponsorshipCOMPETE2030-FEDER-00707500
dc.identifier.doi10.1177/13872877251375927
dc.identifier.eissn1875-8908
dc.identifier.issn1387-2877
dc.identifier.urihttp://hdl.handle.net/10400.1/27784
dc.language.isoeng
dc.peerreviewedyes
dc.publisherSAGE Publications
dc.relation.ispartofJournal of Alzheimer’s Disease
dc.rights.uriN/A
dc.subjectAlzheimer’s disease
dc.subjectBiomarkers
dc.subjectCcnversion to dementia
dc.subjectMCI due to AD
dc.subjectMild cognitive impairment
dc.titleLong-term predictive accuracy of the ‘mild cognitive impairment due to Alzheimer's disease’ criteriaeng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleJournal of Alzheimer's Disease
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameSilva
person.givenNameDina
person.identifier.orcid0000-0003-4437-2765
person.identifier.scopus-author-id26657734400
relation.isAuthorOfPublicationadb36ab3-1d97-48a3-b8df-544bef7c7aa0
relation.isAuthorOfPublication.latestForDiscoveryadb36ab3-1d97-48a3-b8df-544bef7c7aa0

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