FIDYAN Neurocenter, Granada, Spain.
FIDYAN Neurocenter, Granada, Spain.
Neurologia (Engl Ed). 2023 Nov-Dec;38(9):653-662. doi: 10.1016/j.nrleng.2023.10.002. Epub 2023 Oct 17.
The Fototest and Mini-Cog include all the domains that are necessary in a cognitive assessment. This study aims to evaluate the diagnostic accuracy of the combined use of both instruments for detecting cognitive impairment.
We performed a phase III diagnostic accuracy study with 2 independent samples: STUDY, which included 448 participants randomly allocated to 2 datasets (BASE [80%] and TEST [20%]); and EXTERNAL, which included 61 participants. The index test was consecutive administration of the Fototest and Mini-Cog, and the reference test was formal cognitive assessment. We evaluated the diagnostic accuracy of two-step vs consecutive application of the tests and simple (Comb-Simple), logistic regression (Comb-LR), and random decision tree (Comb-RDT) models of their combined use for detecting cognitive impairment (Global Deterioration Scale score ≥ 3). We performed an exploratory analysis of the BASE dataset, selecting criteria that maximise accuracy; a pre-specified analysis was used to evaluate the selected criteria in the TEST and EXTERNAL datasets.
The diagnostic accuracy (95% confidence interval) of the combined models in the BASE dataset (Comb-Simple: 88.3 [88.5-91.4]; Comb-LR: 91.6 [88.2-94.3]; Comb-RDT 95.2 [92.5-97.2]) was significantly higher than the individual values observed for the Mini-Cog and Fototest (81.6 [77.1-85.4] and 84.9 [80.8-88.5], respectively). These results were replicated in the TEST (Comb-Simple: 88.9; Comb-LR: 95.6; Comb-RDT: 92.2) and EXTERNAL datasets (Comb-Simple: 91.8; Comb-LR: 90.2; Comb-RDT: 88.5). Two-step application had the same diagnostic accuracy than consecutive application but required less time (mean [SD] of 197.3 s [56.7] vs 233.9 s [45.2]; P < .0001).
Combined application of the Fototest and Mini-Cog takes less than 4 minutes and improves the diagnostic accuracy of both instruments. Two-step application is more efficient as it requires less time while maintaining the same diagnostic accuracy.
Fototest 和 Mini-Cog 包含认知评估所需的所有领域。本研究旨在评估这两种工具联合使用检测认知障碍的诊断准确性。
我们进行了一项具有两个独立样本的 III 期诊断准确性研究:研究,其中包括 448 名参与者,随机分配到两个数据集(BASE[80%]和 TEST[20%]);和外部,其中包括 61 名参与者。该指标测试是连续进行 Fototest 和 Mini-Cog 测试,参考测试是正式的认知评估。我们评估了两步法与连续应用测试的诊断准确性,以及它们联合使用的简单(Comb-Simple)、逻辑回归(Comb-LR)和随机决策树(Comb-RDT)模型的诊断准确性,用于检测认知障碍(总体恶化量表评分≥3)。我们对 BASE 数据集进行了探索性分析,选择了最大限度提高准确性的标准;使用预先指定的分析来评估在 TEST 和外部数据集选择的标准。
BASE 数据集(Comb-Simple:88.3[88.5-91.4];Comb-LR:91.6[88.2-94.3];Comb-RDT 95.2[92.5-97.2])中联合模型的诊断准确性(95%置信区间)明显高于 Mini-Cog 和 Fototest 的单独值(81.6[77.1-85.4]和 84.9[80.8-88.5])。这些结果在 TEST(Comb-Simple:88.9;Comb-LR:95.6;Comb-RDT:92.2)和外部数据集(Comb-Simple:91.8;Comb-LR:90.2;Comb-RDT:88.5)中得到了复制。两步法的诊断准确性与连续应用相同,但所需时间更少(平均[标准差]197.3 s[56.7]与 233.9 s[45.2];P<0.0001)。
Fototest 和 Mini-Cog 的联合应用不到 4 分钟,可提高两种工具的诊断准确性。两步法更有效,因为它所需时间更少,同时保持相同的诊断准确性。