Pre-MCI and MCI: Neuropsychological, Clinical, and Imaging Features and Progression Rates

被引:100
|
作者
Duara, Ranjan [1 ,2 ,3 ,4 ]
Loewenstein, David A. [4 ]
Greig, Maria T.
Potter, Elizabeth [1 ]
Barker, Warren [1 ]
Raj, Ashok [2 ]
Schinka, John
Borenstein, Amy
Schoenberg, Michael [2 ,3 ]
Wu, Yougui [3 ]
Banko, Jessica [3 ]
Potter, Huntington [3 ]
机构
[1] Mt Sinai Med Ctr, Wien Ctr Alzheimers Dis & Memory Disorders, Miami Beach, FL 33140 USA
[2] Johnnie B Byrd Sr Alzheimers Ctr & Res Inst, Tampa, FL USA
[3] Univ S Florida, Tampa, FL USA
[4] Univ Miami, Miller Sch Med, Miami, FL 33136 USA
关键词
Algorithmic diagnosis; Alzheimer disease; amnestic MCI; clinical diagnosis; dementia; hippocampal volume; longitudinal analysis; MCI; mild cognitive impairment; MRI; neuropsychological tests; pre-MCI; MILD COGNITIVE IMPAIRMENT; ALZHEIMER-DISEASE; DIAGNOSTIC-CRITERIA; NORMATIVE DATA; DEMENTIA; MEMORY; CONVERSION; SUBTYPES; RELIABILITY; POPULATION;
D O I
10.1097/JGP.0b013e3182107c69
中图分类号
R592 [老年病学]; C [社会科学总论];
学科分类号
03 ; 0303 ; 100203 ;
摘要
Objective: To compare clinical, imaging, and neuropsychological characteristics and longitudinal course of subjects with pre-mild cognitive impairment (pre-MCI), who exhibit features of MCI on clinical examination but lack impairment on neuropsychological examination, to subjects with no cognitive impairment (NCI), nonamnestic MCI (naMCI), amnestic MCI (aMCI), and mild dementia. Methods: For 369 subjects, clinical dementia rating sum of boxes (CDR-SB), ApoE genotyping, cardiovascular risk factors, parkinsonism (UPDRS) scores, structural brain MRIs, and neuropsychological testing were obtained at baseline, whereas 275 of these subjects received an annual follow-up for 2-3 years. Results: At baseline, pre-MCI subjects showed impairment on tests of executive function and language, higher apathy scores, and lower left hippocampal volumes (HPCV) in comparison to NCI subjects. Pre-MCI subjects showed less impairment on at least one memory measure, CDR-SB and UPDRS scores, in comparison to naMCI, aMCI and mild dementia subjects. Follow-up over 2-3 years showed 28.6% of pre-MCI subjects, but less than 5% of NCI subjects progressed to MCI or dementia. Progression rates to dementia were equivalent between naMCI (22.2%) and aMCI (34.5%) groups, but greater than for the pre-MCI group (2.4%). Progression to dementia was best predicted by the CDR-SB, a list learning and executive function test. Conclusion: This study demonstrates that clinically defined pre-MCI has cognitive, functional, motor, behavioral and imaging features that are intermediate between NCI and MCI states at baseline. Pre-MCI subjects showed accelerated rates of progression to MCI as compared to NCI subjects, but slower rates of progression to dementia than MCI subjects. (Am J Geriatr Psychiatry 2011; 19:951-960)
引用
收藏
页码:951 / 960
页数:10
相关论文
共 23 条
  • [1] Measuring clinical progression in MCI and pre-MCI populations: enrichment and optimizing clinical outcomes over time
    Hendrix, Suzanne B.
    ALZHEIMERS RESEARCH & THERAPY, 2012, 4 (04):
  • [2] Measuring clinical progression in MCI and pre-MCI populations: enrichment and optimizing clinical outcomes over time
    Suzanne B Hendrix
    Alzheimer's Research & Therapy, 4
  • [3] Neuropsychological tests and machine learning: identifying predictors of MCI and dementia progression
    Cazzolli, Carlotta
    Chierici, Marco
    Dallabona, Monica
    Guella, Chiara
    Jurman, Giuseppe
    AGING CLINICAL AND EXPERIMENTAL RESEARCH, 2025, 37 (01)
  • [4] Clinical features of MCI: motor changes
    Kluger, Alan
    Gianutsos, John G.
    Golomb, James
    Wagner, Alvin, Jr.
    Wagner, Danielle
    Scheurich, Samantha
    INTERNATIONAL PSYCHOGERIATRICS, 2008, 20 (01) : 32 - 39
  • [5] Biomarker-Based Signature of Alzheimer's Disease in Pre-MCI Individuals
    Chipi, Elena
    Salvadori, Nicola
    Farotti, Lucia
    Parnetti, Lucilla
    BRAIN SCIENCES, 2019, 9 (09)
  • [6] Ventricular Enlargement and its Clinical Correlates in the Imaging Cohort From the ADCS MCI Donepezil/Vitamin E Study
    Apostolova, Liana G.
    Babakchanian, Sona
    Hwang, Kristy S.
    Green, Amity E.
    Zlatev, Dimitar
    Chou, Yi-Yu
    DeCarli, Charlie
    Jack, Clifford R., Jr.
    Petersen, Ronald C.
    Aisen, Paul S.
    Cummings, Jeffrey L.
    Toga, Arthur W.
    Thompson, Paul M.
    ALZHEIMER DISEASE & ASSOCIATED DISORDERS, 2013, 27 (02) : 174 - 181
  • [7] Both Financial and Cognitive Decline Predict Clinical Progression in MCI
    Gerstenecker, Adam
    Triebel, Kristen L.
    Martin, Roy
    Snyder, Scott
    Marson, Daniel C.
    ALZHEIMER DISEASE & ASSOCIATED DISORDERS, 2016, 30 (01) : 27 - 34
  • [8] Predicting clinical variable from MRI features: Application to MMSE in MCI
    Duchesne, S
    Caroli, A
    Geroldi, C
    Frisoni, GB
    Collins, DL
    MEDICAL IMAGE COMPUTING AND COMPUTER-ASSISTED INTERVENTION - MICCAI 2005, PT 1, 2005, 3749 : 392 - 399
  • [9] Neuropsychiatric, neuropsychological, and neuroimaging features in isolated REM sleep behavior disorder: The importance of MCI
    Vacca, Mariacarolina
    Assogna, Francesca
    Pellicano, Clelia
    Chiaravalloti, Agostino
    Placidi, Fabio
    Izzi, Francesca
    Camedda, Riccardo
    Schillaci, Orazio
    Spalletta, Gianfranco
    Lombardo, Caterina
    Mercuri, Nicola Biagio
    Liguori, Claudio
    SLEEP MEDICINE, 2022, 100 : 230 - 237
  • [10] Substantial risk of "Accidental MCI" in healthy older adults: Base rates of low memory scores in neuropsychological assessment
    Brooks, Brian L.
    Iverson, Grant L.
    White, Travis
    JOURNAL OF THE INTERNATIONAL NEUROPSYCHOLOGICAL SOCIETY, 2007, 13 (03) : 490 - 500