Literature DB >> 28216393

Predicting progression to dementia in persons with mild cognitive impairment using cerebrospinal fluid markers.

Ron L H Handels1, Stephanie J B Vos2, Milica G Kramberger3, Vesna Jelic4, Kaj Blennow5, Mark van Buchem6, Wiesje van der Flier7, Yvonne Freund-Levi8, Harald Hampel9, Marcel Olde Rikkert10, Ania Oleksik6, Zvezdan Pirtosek3, Philip Scheltens11, Hilkka Soininen12, Charlotte Teunissen13, Magda Tsolaki14, Asa K Wallin15, Bengt Winblad4, Frans R J Verhey2, Pieter Jelle Visser16.   

Abstract

INTRODUCTION: We aimed to determine the added value of cerebrospinal fluid (CSF) to clinical and imaging tests to predict progression from mild cognitive impairment (MCI) to any type of dementia.
METHODS: The risk of progression to dementia was estimated using two logistic regression models based on 250 MCI participants: the first included standard clinical measures (demographic, clinical, and imaging test information) without CSF biomarkers, and the second included standard clinical measures with CSF biomarkers.
RESULTS: Adding CSF improved predictive accuracy with 0.11 (scale from 0-1). Of all participants, 136 (54%) had a change in risk score of 0.10 or higher (which was considered clinically relevant), of whom in 101, it was in agreement with their dementia status at follow-up. DISCUSSION: An individual person's risk of progression from MCI to dementia can be improved by relying on CSF biomarkers in addition to recommended clinical and imaging tests for usual care.
Copyright © 2017 the Alzheimer's Association. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Alzheimer's disease; Conversion; Dementia; Mild cognitive impairment; Predict; Prognosis; Progression; Reclassification; Risk; Risk prediction model

Mesh:

Substances:

Year:  2017        PMID: 28216393     DOI: 10.1016/j.jalz.2016.12.015

Source DB:  PubMed          Journal:  Alzheimers Dement        ISSN: 1552-5260            Impact factor:   21.566


  11 in total

1.  A practical computerized decision support system for predicting the severity of Alzheimer's disease of an individual.

Authors:  Magda Bucholc; Xuemei Ding; Haiying Wang; David H Glass; Hui Wang; Girijesh Prasad; Liam P Maguire; Anthony J Bjourson; Paula L McClean; Stephen Todd; David P Finn; KongFatt Wong-Lin
Journal:  Expert Syst Appl       Date:  2019-04-10       Impact factor: 6.954

2.  Prediction Models for Conversion From Mild Cognitive Impairment to Alzheimer's Disease: A Systematic Review and Meta-Analysis.

Authors:  Yanru Chen; Xiaoling Qian; Yuanyuan Zhang; Wenli Su; Yanan Huang; Xinyu Wang; Xiaoli Chen; Enhan Zhao; Lin Han; Yuxia Ma
Journal:  Front Aging Neurosci       Date:  2022-04-07       Impact factor: 5.750

3.  Letter.

Authors:  Ara S Khachaturian
Journal:  Alzheimers Dement (Amst)       Date:  2017-11-21

4.  Advance directives for future dementia can be modified by a brief video presentation on dementia care: An experimental study.

Authors:  Theresia Volhard; Frank Jessen; Luca Kleineidam; Steffen Wolfsgruber; Dirk Lanzerath; Michael Wagner; Wolfgang Maier
Journal:  PLoS One       Date:  2018-05-24       Impact factor: 3.240

5.  Robust Ensemble Classification Methodology for I123-Ioflupane SPECT Images and Multiple Heterogeneous Biomarkers in the Diagnosis of Parkinson's Disease.

Authors:  Diego Castillo-Barnes; Javier Ramírez; Fermín Segovia; Francisco J Martínez-Murcia; Diego Salas-Gonzalez; Juan M Górriz
Journal:  Front Neuroinform       Date:  2018-08-14       Impact factor: 4.081

6.  Somatostatin and Neuropeptide Y in Cerebrospinal Fluid: Correlations With Amyloid Peptides Aβ1-42 and Tau Proteins in Elderly Patients With Mild Cognitive Impairment.

Authors:  Emmanuelle Duron; Jean-Sébastien Vidal; Dominique Grousselle; Audrey Gabelle; Sylvain Lehmann; Florence Pasquier; Stéphanie Bombois; Luc Buée; Bernadette Allinquant; Susanna Schraen-Maschke; Christiane Baret; Anne-Sophie Rigaud; Olivier Hanon; Jacques Epelbaum
Journal:  Front Aging Neurosci       Date:  2018-10-01       Impact factor: 5.750

7.  Cognitive Assessment Tools for Screening Older Adults With Low Levels of Education: A Critical Review.

Authors:  José Wagner Leonel Tavares-Júnior; Ana Célia Caetano de Souza; Gilberto Sousa Alves; Janine de Carvalho Bonfadini; José Ibiapina Siqueira-Neto; Pedro Braga-Neto
Journal:  Front Psychiatry       Date:  2019-12-13       Impact factor: 4.157

8.  Altered bile acid profile in mild cognitive impairment and Alzheimer's disease: Relationship to neuroimaging and CSF biomarkers.

Authors:  Kwangsik Nho; Alexandra Kueider-Paisley; Siamak MahmoudianDehkordi; Matthias Arnold; Shannon L Risacher; Gregory Louie; Colette Blach; Rebecca Baillie; Xianlin Han; Gabi Kastenmüller; Wei Jia; Guoxiang Xie; Shahzad Ahmad; Thomas Hankemeier; Cornelia M van Duijn; John Q Trojanowski; Leslie M Shaw; Michael W Weiner; P Murali Doraiswamy; Andrew J Saykin; Rima Kaddurah-Daouk
Journal:  Alzheimers Dement       Date:  2018-10-15       Impact factor: 16.655

9.  Progress in brain barriers and brain fluid research in 2017.

Authors:  Richard F Keep; Hazel C Jones; Lester R Drewes
Journal:  Fluids Barriers CNS       Date:  2018-02-02

10.  Dynamics of plasma biomarkers in Down syndrome: the relative levels of Aβ42 decrease with age, whereas NT1 tau and NfL increase.

Authors:  David Mengel; Wen Liu; Robert J Glynn; Dennis J Selkoe; Andre Strydom; Florence Lai; H Diana Rosas; Amy Torres; Vasiliki Patsiogiannis; Brian Skotko; Dominic M Walsh
Journal:  Alzheimers Res Ther       Date:  2020-03-19       Impact factor: 6.982

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