Gourdeau Christian, Légaré-Baribeau Marie-Pierre, Bernier Patrick, Laforce Robert
Département de Physique, Cégep Limoilou, Quebec City, QC G1J 5L5, Canada.
Département des Sciences Neurologiques, Clinique Interdisciplinaire de Mémoire (CIME), CHU de Québec, Québec, QC G1J 1Z4, Canada.
Brain Sci. 2025 Mar 21;15(4):327. doi: 10.3390/brainsci15040327.
We previously developed Cognitive Charts (CCs) for early detection and/or longitudinal evaluation of age-associated cognitive decline on widely used cognitive screening measures such as the Mini-Mental State Examination (CC-MMSE) and the Montreal Cognitive Assessment (CC-MoCA). Similar to growth curves used in Pediatrics, clinicians can quickly interpret an individual's performance on the MMSE or MoCA, track the patient's longitudinal cognitive trajectory, and subsequently intervene earlier based on the findings (see quoco.org). This has proven very helpful to frontline clinicians, particularly in light of the newly approved monoclonal antibodies for treatment of Alzheimer's disease. To this date, however, the CC-MMSE and CC-MoCA only applied to limited age ranges. We validated herein our CCs across the entire age span. Two datasets were obtained from the National Alzheimer's Coordinating Center, for a total of 32,560 individuals. We examined average MMSE and MoCA scores for younger individuals compared to the current age thresholds and ensured consistency of age-related Cognitive Quotient scores. In this study, both MMSE and MoCA scores show very little variation below the age threshold. If the age is fixed at the threshold in the QuoCo calculation, the resulting score remains constant within this range. Furthermore, CCs performed similar or better in younger individuals. Our findings again emphasize the clinical significance of CCs as a tool for monitoring cognitive changes across the entire age span, hence maximizing early detection and appropriate treatment monitoring.
我们之前开发了认知图表（CCs），用于在广泛使用的认知筛查措施（如简易精神状态检查表（CC-MMSE）和蒙特利尔认知评估量表（CC-MoCA））上对与年龄相关的认知衰退进行早期检测和/或纵向评估。与儿科学中使用的生长曲线类似，临床医生可以快速解读个体在MMSE或MoCA上的表现，追踪患者的纵向认知轨迹，并随后根据结果更早地进行干预（见quoco.org）。这已被证明对一线临床医生非常有帮助，特别是鉴于新批准的用于治疗阿尔茨海默病的单克隆抗体。然而，截至目前，CC-MMSE和CC-MoCA仅适用于有限的年龄范围。我们在此验证了我们的CCs在整个年龄跨度上的有效性。从国家阿尔茨海默病协调中心获得了两个数据集，共有32560名个体。我们将年轻个体的平均MMSE和MoCA分数与当前年龄阈值进行了比较，并确保了与年龄相关的认知商数分数的一致性。在这项研究中，MMSE和MoCA分数在年龄阈值以下的变化都非常小。如果在QuoCo计算中将年龄固定在阈值上，在此范围内得到的分数将保持不变。此外，CCs在年轻个体中的表现相似或更好。我们的研究结果再次强调了CCs作为一种监测整个年龄跨度认知变化的工具的临床意义，从而最大限度地实现早期检测和适当的治疗监测。
