Analysis of the A-B Neuropsychological Assessment Schedule as a Cognitive Screener for Long COVID

Aim To determine the sensitivity and specificity of the psychometric measures of the A-B Neuropsychological Assessment Schedule (ABNAS) to aid screening of long COVID (LC). Methods The participants (N=235) were recruited from an online study of cognitive and psychological consequences of LC, involving individuals attending an LC service in an acute tertiary university hospital and a comparison sample of community controls.The ABNAS for LC, a patient-perceived assessment scale in relation to the challenges they had encountered from LC, was used to identify the specific psychometric measures implicated in LC. Results The optimal cut-off value for total ABNAS scores and its psychometric subsets were obtained from receiver operating characteristic (ROC) curves. The sensitivity of the total ABNAS score of ≥21.5 was 81.6% for LC, taken as a post-COVID functional status (PCFS)grade of ≥ 2 as true positives, with a specificity = 72.3%. The specificity of the ABNAS fatigue subscale score of ≥ 8.5 for LC was 87.2%, while its sensitivity was 66.7%. The sensitivity of the ABNAS mental slowing subscale score of ≥ 4.5 was 82.8%, and the specificity was 70.3%. Conclusion Total ABNAS scores and their psychometric subsets (fatigue and mental slowing) are sensitive and specific for LC.