Literature DB >> 12801154

MMSE items predict cognitive decline in persons with genetic risk for Alzheimer's disease.

Linda M Ercoli1, Prabha Siddarth, Jennifer J Dunkin, Jennifer Bramen, Gary W Small.   

Abstract

Performance on individual Mini-Mental State Examination (MMSE) items can predict incident Alzheimer's disease (AD). The purpose of the current study is to determine whether, in nondemented persons with and without the apolipoprotein E-4 (APOE-4) genetic risk for AD, a subset of MMSE items predict cognitive decline. Fifty-four nondemented subjects, 23 with at least one copy of the APOE-4 allele and 31 without APOE-4, were given the MMSE and cognitive tests at baseline and 2-year follow-up. MMSE total score and a subset of MMSE items including delayed recall, serial 7s, pentagon, and orientation to time and place were used to predict change on cognitive tests. The subset of MMSE items significantly predicted decline in visuo-spatial construction and naming in APOE-4 carriers but not in noncarriers. Performance on a subset of MMSE items, combined with APOE-4 genotype, may aid in identifying high-risk persons for research or follow-up.

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Year:  2003        PMID: 12801154     DOI: 10.1177/0891988703016002001

Source DB:  PubMed          Journal:  J Geriatr Psychiatry Neurol        ISSN: 0891-9887            Impact factor:   2.680


  4 in total

Review 1.  Neuropsychological and neuroimaging changes in preclinical Alzheimer's disease.

Authors:  Elizabeth W Twamley; Susan A Legendre Ropacki; Mark W Bondi
Journal:  J Int Neuropsychol Soc       Date:  2006-09       Impact factor: 2.892

2.  Olfactory function in people with genetic risk of dementia.

Authors:  R Salerno-Kennedy; S Cusack; K D Cashman
Journal:  Ir J Med Sci       Date:  2005 Oct-Dec       Impact factor: 1.568

3.  Crowdsourced estimation of cognitive decline and resilience in Alzheimer's disease.

Authors:  Genevera I Allen; Nicola Amoroso; Catalina Anghel; Venkat Balagurusamy; Christopher J Bare; Derek Beaton; Roberto Bellotti; David A Bennett; Kevin L Boehme; Paul C Boutros; Laura Caberlotto; Cristian Caloian; Frederick Campbell; Elias Chaibub Neto; Yu-Chuan Chang; Beibei Chen; Chien-Yu Chen; Ting-Ying Chien; Tim Clark; Sudeshna Das; Christos Davatzikos; Jieyao Deng; Donna Dillenberger; Richard J B Dobson; Qilin Dong; Jimit Doshi; Denise Duma; Rosangela Errico; Guray Erus; Evan Everett; David W Fardo; Stephen H Friend; Holger Fröhlich; Jessica Gan; Peter St George-Hyslop; Satrajit S Ghosh; Enrico Glaab; Robert C Green; Yuanfang Guan; Ming-Yi Hong; Chao Huang; Jinseub Hwang; Joseph Ibrahim; Paolo Inglese; Anandhi Iyappan; Qijia Jiang; Yuriko Katsumata; John S K Kauwe; Arno Klein; Dehan Kong; Roland Krause; Emilie Lalonde; Mario Lauria; Eunjee Lee; Xihui Lin; Zhandong Liu; Julie Livingstone; Benjamin A Logsdon; Simon Lovestone; Tsung-Wei Ma; Ashutosh Malhotra; Lara M Mangravite; Taylor J Maxwell; Emily Merrill; John Nagorski; Aishwarya Namasivayam; Manjari Narayan; Mufassra Naz; Stephen J Newhouse; Thea C Norman; Ramil N Nurtdinov; Yen-Jen Oyang; Yudi Pawitan; Shengwen Peng; Mette A Peters; Stephen R Piccolo; Paurush Praveen; Corrado Priami; Veronica Y Sabelnykova; Philipp Senger; Xia Shen; Andrew Simmons; Aristeidis Sotiras; Gustavo Stolovitzky; Sabina Tangaro; Andrea Tateo; Yi-An Tung; Nicholas J Tustison; Erdem Varol; George Vradenburg; Michael W Weiner; Guanghua Xiao; Lei Xie; Yang Xie; Jia Xu; Hojin Yang; Xiaowei Zhan; Yunyun Zhou; Fan Zhu; Hongtu Zhu; Shanfeng Zhu
Journal:  Alzheimers Dement       Date:  2016-04-11       Impact factor: 21.566

4.  Ultra-sensitive detection of protein biomarkers for diagnosis of Alzheimer's disease.

Authors:  Hei-Nga Chan; Di Xu; See-Lok Ho; Man Shing Wong; Hung-Wing Li
Journal:  Chem Sci       Date:  2017-03-24       Impact factor: 9.825

  4 in total

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