Background: We determined how the Cambridge Neuropsychological Test Automated Battery (CANTAB) compared to the Minimal Assessment of Cognitive Function in multiple sclerosis (MACFIMS) in terms of sensitivity, specificity, and predictive values in detecting cognitive impairment in multiple sclerosis (MS) patients.
Methods: Sixty MS patients were recruited, 2 of whom were lost to follow-up. On the first day of the neuropsychological examination, the standard MACFIMS battery and the day after, the CANTAB (paired-associate learning (PAL), reaction time (RTI), rapid visual information processing (RVP), and spatial working memory tasks (SWM)) were completed by the patients. The sensitivity, specificity, and predictive values of the CANTAB in the differentiation of cognitively impaired (CI) patients from not cognitively impaired (NCI) ones were compared with those of the MACFIMS battery using appropriate statistical tests.
Results: Fifty-eight patients were categorized into two groups of CI (n=16 (27.58%)) and NCI (n=42 (72.41%)) based on the MACFIMS battery standard criteria. The best reporter indices and their cut-off scores for differentiation of CI from NCI patients in each task of the CANTAB were "total errors=13" for PAL, "between errors=26" for SWM, "five-choice reaction time=368.57" for RTI, and "mean latency=522.14" for RVP. The optimal cut-off point for distinguishing CI from NCI in the CANTAB was found to be an impaired function in 3 or more tasks [(AUC (95% CI): 0.97 (0.94-1.00); p<0.001)]. Accordingly, 36.20% of the patients were CI based on the CANTAB criteria. The inter-test agreement (CANTAB and MACFIMS batteries) was found to be the highest (Cohen's κ (95% CI): 0.80 (0.64-0.96)).
Conclusion: Results confirm that the CANTAB can discriminate CI from NCI MS patients with high accuracy, and its results are comparable to those of the MACFIMS battery; thus, they might be interchangeably used in the clinical practice.
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http://dx.doi.org/10.1016/j.msard.2020.102172 | DOI Listing |
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