Suppr超能文献

评估双向转变并识别轻度认知障碍的预测因素。

Estimating Bidirectional Transitions and Identifying Predictors of Mild Cognitive Impairment.

机构信息

From the Department of Health Statistics (Y.Q., H.H., J.C., X.G., Y.M., W.B., R.Z., D.C., F.Y., H.Y.), School of Public Health, Shanxi Medical University, Taiyuan; Department of Medical Device Ethics (Y.L.), Shanxi Province Cancer Hospital, Taiyuan; Department of Neurology (H.J.), First Hospital of Shanxi Medical University, Taiyuan; and Shanxi Provincial Key Laboratory of Major Diseases Risk Assessment (H.Y.), Taiyuan, China.

出版信息

Neurology. 2023 Jan 17;100(3):e297-e307. doi: 10.1212/WNL.0000000000201386. Epub 2022 Oct 11.

Abstract

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, , 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, , 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.

摘要

背景与目的

针对轻度认知障碍(MCI)或痴呆症,存在各种资源可将其分别作为终末事件进行治疗,或者仅关注从 MCI 向痴呆症的单向路径,而不考虑异质的转变。对于 MCI 向正常认知(NC)或接近 NC 的恢复轨迹以及反转后的模式,即从 MCI 恢复到 NC 的患者的认知轨迹,人们知之甚少。我们的目标是:(1)定量预测 MCI 的双向转变(恢复和进展);(2)探索反转后的未来认知轨迹模式;(3)估计人口统计学特征、认知、日常活动能力、抑郁和神经精神症状对转变概率的影响。

方法

我们通过回顾 2005 年 6 月至 2021 年 2 月期间至少有 2 次随访的 MCI 诊断患者的研究入组和随访数据,构建了一个回顾性队列。将 NC 或接近 NC 和 MCI 定义为暂态状态,将痴呆症定义为吸收状态,我们使用连续时间多状态马尔可夫模型来估计状态之间的瞬时转变强度、在随访期间任何给定时间从一个状态到另一个状态的转变概率,以及与恢复相关变量的风险比。

结果

在 6651 名参与者的 24220 次观察中,有 2729 次进展为痴呆症,1785 次恢复。至于反转后,分别有 630 和 73 次进展为 MCI 和痴呆症。反转后进展为 MCI 的转变强度为 0.317(比 MCI 进展或恢复高 2.48 倍)。对于反转后参与者,每年进展为痴呆症的概率增加 2%。进展为 MCI 的参与者很可能再次恢复(15 年内再次恢复的概率为 40%)。年龄、独立性水平、认知、日常活动能力、抑郁和神经精神症状是双向转变的重要预测因素。

讨论

在多维 MCI 研究中,不能忽视双向转变的性质。我们发现,反转后参与者在较长时间内仍处于向 MCI 或痴呆症进展的较高风险中,并且经历了反复的恢复。我们的发现可能为未来的研究提供有价值的参考,并使医疗保健专业人员能够更好地制定主动管理计划和有针对性的干预措施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e291/9869761/c60da99b51d1/WNL-2022-201269f1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验