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Estimating Bidirectional Transitions and Identifying Predictors of Mild Cognitive Impairment

BACKGROUND AND OBJECTIVES: Various resources exist for treating mild cognitive impairment (MCI) or dementia separately as terminal events or for focusing solely on a 1-way path from MCI to dementia without taking into account heterogeneous transitions. Little is known about the trajectory of reversi...

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Autores principales: Qin, Yao, Han, Hongjuan, Li, Yang, Cui, Jing, Jia, Haixia, Ge, Xiaoyan, Ma, Yifei, Bai, Wenlin, Zhang, Rong, Chen, Durong, Yi, Fuliang, Yu, Hongmei
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9869761/
https://www.ncbi.nlm.nih.gov/pubmed/36220593
http://dx.doi.org/10.1212/WNL.0000000000201386
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author Qin, Yao
Han, Hongjuan
Li, Yang
Cui, Jing
Jia, Haixia
Ge, Xiaoyan
Ma, Yifei
Bai, Wenlin
Zhang, Rong
Chen, Durong
Yi, Fuliang
Yu, Hongmei
author_facet Qin, Yao
Han, Hongjuan
Li, Yang
Cui, Jing
Jia, Haixia
Ge, Xiaoyan
Ma, Yifei
Bai, Wenlin
Zhang, Rong
Chen, Durong
Yi, Fuliang
Yu, Hongmei
author_sort Qin, Yao
collection PubMed
description BACKGROUND AND OBJECTIVES: Various resources exist for treating mild cognitive impairment (MCI) or dementia separately as terminal events or for focusing solely on a 1-way path from MCI to dementia without taking into account heterogeneous transitions. Little is known about the trajectory of reversion from MCI to normal cognition (NC) or near-NC and patterns of postreversion, which refers to cognitive trajectories of patients who have reversed from MCI to NC. Our objectives were to (1) quantitatively predict bidirectional transitions of MCI (reversion and progression), (2) explore patterns of future cognitive trajectories for postreversion, and (3) estimate the effects of demographic characteristics, APOE, cognition, daily activity ability, depression, and neuropsychiatric symptoms on transition probabilities. METHODS: We constructed a retrospective cohort by reviewing patients with an MCI diagnosis at study entry and at least 2 follow-up visits between June 2005 and February 2021. Defining NC or near-NC and MCI as transient states and dementia as an absorbing state, we used continuous-time multistate Markov models to estimate instantaneous transition intensity between states, transition probabilities from one state to another at any given time during follow-up, and hazard ratios of reversion-related variables. RESULTS: Among 24,220 observations from 6,651 participants, there were 2,729 transitions to dementia and 1,785 reversions. As for postreversion, there were 630 and 73 transitions of progression to MCI and dementia, respectively. The transition intensity of progression to MCI for postreversion was 0.317 (2.48-fold greater than that for MCI progression or reversion). For postreversion participants, the probability of progressing to dementia increased by 2% yearly. Participants who progressed to MCI were likely to reverse again (probability of 40% over 15 years). Age, independence level, APOE, cognition, daily activity ability, depression, and neuropsychiatric symptoms were significant predictors of bidirectional transitions. DISCUSSION: The nature of bidirectional transitions cannot be ignored in multidimensional MCI research. We found that postreversion participants remained at an increased risk of progression to MCI or dementia over the longer term and experienced recurrent reversions. Our findings may serve as a valuable reference for future research and enable health care professionals to better develop proactive management plans and targeted interventions.
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spelling pubmed-98697612023-01-24 Estimating Bidirectional Transitions and Identifying Predictors of Mild Cognitive Impairment Qin, Yao Han, Hongjuan Li, Yang Cui, Jing Jia, Haixia Ge, Xiaoyan Ma, Yifei Bai, Wenlin Zhang, Rong Chen, Durong Yi, Fuliang Yu, Hongmei Neurology Research Article BACKGROUND AND OBJECTIVES: Various resources exist for treating mild cognitive impairment (MCI) or dementia separately as terminal events or for focusing solely on a 1-way path from MCI to dementia without taking into account heterogeneous transitions. Little is known about the trajectory of reversion from MCI to normal cognition (NC) or near-NC and patterns of postreversion, which refers to cognitive trajectories of patients who have reversed from MCI to NC. Our objectives were to (1) quantitatively predict bidirectional transitions of MCI (reversion and progression), (2) explore patterns of future cognitive trajectories for postreversion, and (3) estimate the effects of demographic characteristics, APOE, cognition, daily activity ability, depression, and neuropsychiatric symptoms on transition probabilities. METHODS: We constructed a retrospective cohort by reviewing patients with an MCI diagnosis at study entry and at least 2 follow-up visits between June 2005 and February 2021. Defining NC or near-NC and MCI as transient states and dementia as an absorbing state, we used continuous-time multistate Markov models to estimate instantaneous transition intensity between states, transition probabilities from one state to another at any given time during follow-up, and hazard ratios of reversion-related variables. RESULTS: Among 24,220 observations from 6,651 participants, there were 2,729 transitions to dementia and 1,785 reversions. As for postreversion, there were 630 and 73 transitions of progression to MCI and dementia, respectively. The transition intensity of progression to MCI for postreversion was 0.317 (2.48-fold greater than that for MCI progression or reversion). For postreversion participants, the probability of progressing to dementia increased by 2% yearly. Participants who progressed to MCI were likely to reverse again (probability of 40% over 15 years). Age, independence level, APOE, cognition, daily activity ability, depression, and neuropsychiatric symptoms were significant predictors of bidirectional transitions. DISCUSSION: The nature of bidirectional transitions cannot be ignored in multidimensional MCI research. We found that postreversion participants remained at an increased risk of progression to MCI or dementia over the longer term and experienced recurrent reversions. Our findings may serve as a valuable reference for future research and enable health care professionals to better develop proactive management plans and targeted interventions. Lippincott Williams & Wilkins 2023-01-17 /pmc/articles/PMC9869761/ /pubmed/36220593 http://dx.doi.org/10.1212/WNL.0000000000201386 Text en Copyright © 2022 The Author(s). Published by Wolters Kluwer Health, Inc. on behalf of the American Academy of Neurology. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which permits downloading and sharing the work provided it is properly cited. The work cannot be changed in any way or used commercially without permission from the journal.
spellingShingle Research Article
Qin, Yao
Han, Hongjuan
Li, Yang
Cui, Jing
Jia, Haixia
Ge, Xiaoyan
Ma, Yifei
Bai, Wenlin
Zhang, Rong
Chen, Durong
Yi, Fuliang
Yu, Hongmei
Estimating Bidirectional Transitions and Identifying Predictors of Mild Cognitive Impairment
title Estimating Bidirectional Transitions and Identifying Predictors of Mild Cognitive Impairment
title_full Estimating Bidirectional Transitions and Identifying Predictors of Mild Cognitive Impairment
title_fullStr Estimating Bidirectional Transitions and Identifying Predictors of Mild Cognitive Impairment
title_full_unstemmed Estimating Bidirectional Transitions and Identifying Predictors of Mild Cognitive Impairment
title_short Estimating Bidirectional Transitions and Identifying Predictors of Mild Cognitive Impairment
title_sort estimating bidirectional transitions and identifying predictors of mild cognitive impairment
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9869761/
https://www.ncbi.nlm.nih.gov/pubmed/36220593
http://dx.doi.org/10.1212/WNL.0000000000201386
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