Validation of a “subjective motoric cognitive risk syndrome” screening tool for motoric cognitive risk syndrome—A prospective cohort study

医学 痴呆 接收机工作特性 逻辑回归 危险系数 认知 队列 物理医学与康复 比例危险模型 物理疗法 精神科 内科学 置信区间 疾病
作者
Emmeline Ayers,Cuiling Wang,Joe Verghese
出处
期刊:European Journal of Neurology [Wiley]
卷期号:29 (10): 2925-2933 被引量:23
标识
DOI:10.1111/ene.15476
摘要

Abstract Background and purpose Motoric cognitive risk syndrome (MCR) is a gait‐based pre‐dementia syndrome associated with risk of dementia. Ascertaining subjective cognitive and motoric complaints may facilitate early and remote identification of individuals with MCR as they are reported to precede and predict objective cognitive and motoric impairments in aging. Methods The validity of five subjective motoric complaint (SMC) questions and 10 subjective cognitive complaint (SCC) questions was examined for discriminating MCR in 538 non‐demented community‐dwelling adults. Backward logistic regression was used to identify questions to develop a weighted score to define subjective MCR (MCR‐S). Receiver operating characteristic analysis was applied to determine the discriminative ability of MCR‐S for the objective MCR (MCR‐O) definition based on SCCs and objectively measured gait. Cox proportional hazard models adjusted for potential confounders were used to examine the predictive validity of MCR‐S for incident dementia. Results Five subjective complaint questions (three SCC and two SMC) were associated with MCR‐O. They were combined to define an MCR‐S score (range 0–7) which yielded an area under the curve of 0.89 for discriminating MCR‐O from receiver operating characteristic analysis. An optimal cut‐score of 2 on the MCR‐S score was determined to have good sensitivity (84%) and specificity (82%) for MCR‐O. Over a median follow‐up of 2.5 years, 29 participants developed dementia. Both MCR‐S (adjusted hazard ratio 2.39) and MCR‐O at baseline (adjusted hazard ratio 3.16) predicted risk of incident dementia. Conclusions Subjective MCR had high concordance with MCR‐O and can provide a remote screening assessment for MCR‐O, which can identify those at high risk for dementia.

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