Feasibility and Validity of Cambridge Neuropsychological assessment of Automated Battery in Mild Cognitive Impairment Screening for Patients with Atrial Fibrillation

Neuropsychological assessment of Automated Battery in Mild Cognitive Impairment Screening for Patients with Atrial Fibrillation

Authors

  • Jia Wang Department of Cardiology, Beijing Anzhen Hospital; Capital Medical University, Beijing, China
  • Chao Jiang Department of Cardiology, Beijing Anzhen Hospital; Capital Medical University, Beijing, China
  • Yiwei Lai Department of Cardiology, Beijing Anzhen Hospital; Capital Medical University, Beijing, China
  • Yu Bai Department of Geriatric Medicine, Emergency General Hospital, Beijing, China
  • Baolei Xu Faculty of science, the University of Sydney, Sydney, Australia
  • Xin Du Department of Cardiology, Beijing Anzhen Hospital; Capital Medical University, Beijing, China
  • Jianzeng Dong Department of Neurology, Beijing Anzhen Hospital; Capital Medical University, Beijing, China
  • Changsheng Ma Professor, Department of Cardiology, Beijing Anzhen Hospital; Capital Medical University

Abstract

Background: Atrial fibrillation (AF) is related with the worsening of cognitive function. Strategies that are both convenient and reliable for cognitive screening of AF patients remain underdeveloped. We aimed to analyze the sensitivity and specificity of computerized cognitive screening strategies using subtests from Cambridge Neuropsychological assessment of Automated Battery (CANTAB) in AF patients. Methods: The Multitasking Test (MTT), Rapid Visual Information Processing (RVP) and Paired Associates Learning (PAL) subtests from CANTAB were performed in 105 AF patients. Traditional standard neuropsychological tests were used as a reference standard. Cognitive screening models using different CANTAB subtests were established using multivariable logistic regression. Further stepwise regression using Akaike Information Criterion (AIC) was applied to optimize the models. The sensitivity and specificity of these models were investigated using receiver operating characteristic curve (ROC) studies. Results: Fifty-eight (55%) patients were diagnosed as mild cognitive impairment. MTT alone had reasonable sensitivity (82.8%) and specificity (74.5%) for MCI screening, while RVP (sensitivity 72.4%, specificity 70.2%) and PAL (sensitivity 70.7%, specificity 57.4%) were less effective. Stepwise regression of all available variables revealed that a combination of MTT and RVP brought about higher specificity (sensitivity 82.8%, specificity 85.8%), while PAL was not included in the optimal model. Moreover, adding education to the models did not result in improved validity for MCI screening. Conclusion: The CANTAB subtests are feasible and effective strategies for MCI screening among AF patients independent of patients’ education levels. Hence, they are practical for cardiologists or general practitioners.

Published

2022-11-11

How to Cite

Wang, J., Jiang, C., Lai, Y. ., Bai, Y., Xu, B. ., Du, X. ., Dong, J. ., & Ma, C. (2022). Feasibility and Validity of Cambridge Neuropsychological assessment of Automated Battery in Mild Cognitive Impairment Screening for Patients with Atrial Fibrillation: Neuropsychological assessment of Automated Battery in Mild Cognitive Impairment Screening for Patients with Atrial Fibrillation. The Ethiopian Journal of Health Development. Retrieved from https://ejhd.org/index.php/ejhd/article/view/4638

Issue

Section

Original Articles