Huynh Duong, Sun Kevin, Ghomi Reza Hosseini, Huang Bin
BrainCheck Inc., Austin, TX, United States.
Frontier Psychiatry, PLLC, Billings, MT, United States.
Front Psychol. 2024 Sep 3;15:1428560. doi: 10.3389/fpsyg.2024.1428560. eCollection 2024.
Previous validation studies demonstrated that BrainCheck Assess (BC-Assess), a computerized cognitive test battery, can reliably and sensitively distinguish individuals with different levels of cognitive impairment (i.e., normal cognition (NC), mild cognitive impairment (MCI), and dementia). Compared with other traditional paper-based cognitive screening instruments commonly used in clinical practice, the Montreal Cognitive Assessment (MoCA) is generally accepted to be among the most comprehensive and robust screening tools, with high sensitivity/specificity in distinguishing MCI from NC and dementia. In this study, we examined: (1) the linear relationship between BC-Assess and MoCA and their equivalent cut-off scores, and (2) the extent to which they agree on their impressions of an individual's cognitive status.
A subset of participants ( = 55; age range 54-94, mean/SD = 80/9.5) from two previous studies who took both the MoCA and BC-Assess were included in this analysis. Linear regression was used to calculate equivalent cut-off scores for BC-Assess based on those originally recommended for the MoCA to differentiate MCI from NC (cut-off = 26), and dementia from MCI (cut-off = 19). Impression agreement between the two instruments were measured through overall agreement (OA), positive percent agreement (PPA), and negative percent agreement (NPA).
A high Pearson correlation coefficient of 0.77 (CI = 0.63-0.86) was observed between the two scores. According to this relationship, MoCA cutoffs of 26 and 19 correspond to BC-Assess scores of 89.6 and 68.5, respectively. These scores are highly consistent with the currently recommended BC-Assess cutoffs (i.e., 85 and 70). The two instruments also show a high degree of agreement in their impressions based on their recommended cut-offs: (i) OA = 70.9%, PPA = 70.4%, NPA = 71.4% for differentiating dementia from MCI/NC; (ii) OA = 83.6%, PPA = 84.1%, NPA = 81.8% for differentiating dementia/MCI from NC.
This study provides further validation of BC-Assess in a sample of older adults by showing its high correlation and agreement in impression with the widely used MoCA.
先前的验证研究表明,BrainCheck评估(BC评估)这一计算机化认知测试组合能够可靠且灵敏地区分具有不同认知障碍水平的个体(即正常认知(NC)、轻度认知障碍(MCI)和痴呆)。与临床实践中常用的其他传统纸质认知筛查工具相比,蒙特利尔认知评估(MoCA)被普遍认为是最全面、最可靠的筛查工具之一,在区分MCI与NC及痴呆方面具有高灵敏度/特异性。在本研究中,我们检验了:(1)BC评估与MoCA之间的线性关系及其等效临界值,以及(2)它们在对个体认知状态的判断上的一致程度。
本分析纳入了来自之前两项研究的一部分参与者(n = 55;年龄范围54 - 94岁,平均/标准差 = 80 / 9.5),这些参与者同时进行了MoCA和BC评估。使用线性回归基于最初为MoCA推荐的临界值来计算BC评估的等效临界值,以区分MCI与NC(临界值 = 26)以及痴呆与MCI(临界值 = 19)。通过总体一致性(OA)、阳性百分比一致性(PPA)和阴性百分比一致性(NPA)来衡量两种工具在判断上的一致性。
观察到两个分数之间的皮尔逊相关系数较高,为0.77(置信区间 = 0.63 - 0.86)。根据这种关系,MoCA的临界值26和19分别对应BC评估的分数89.6和68.5。这些分数与当前推荐的BC评估临界值(即85和70)高度一致。基于其推荐的临界值,两种工具在判断上也显示出高度一致性:(i)区分痴呆与MCI/NC时,OA = 70.9%,PPA = 70.4%,NPA = 71.4%;(ii)区分痴呆/MCI与NC时,OA = 83.6%,PPA = 84.1%,NPA = 81.8%。
本研究通过显示BC评估与广泛使用的MoCA在分数上具有高度相关性且在判断上具有一致性,进一步验证了其在老年人群样本中的有效性。