Longitudinal Cognitive Performance of Older Adults With ADHD Presenting to a Cognitive Neurology Clinic: A Case Series of Change Up to 21 Years

Background: The neuropsychological features of older adults with ADHD are largely unknown. This retrospective chart review aims to elucidate their cognitive trajectories using a case series of six older adults with ADHD presenting with memory complaints to a cognitive neurology clinic, whom we argue are a particularly relevant group to study due to their potential to mimic neurodegenerative syndromes.Methods: Participants were included if they were age 40 or older at intake, had ADHD based on DSM-5 criteria, and had cognitive data collected prior to 2014 with follow-up at least 5 years later.Results: Five men and one woman were included (M = 53.8 years at intake) and had an average of 135.0 months of follow-up data available. Despite notable between- and within-subject variability, cognition generally improved or remained stable across visits. Two participants experienced notable memory decline, but a global consideration of their performance in other domains suggests these deficits may be frontally-mediated.Conclusion: In this small sample, cognition remained generally unchanged across 5–21 years. Isolated impairments likely reflect substantial intra-individual variability across time and measures.

Head to head comparison between neurology residents and a mobile medical application for diagnostic accuracy in cognitive neurology

Background A novel Mobile Medical Application (App) App was created on iOS platform (Neurology Dx®) to deduce Differential Diagnoses (DDx) from a set of user selected Symptoms, Signs, Imaging data and Lab findings. The DDx generated by the App was compared for diagnostic accuracy with differentials reasoned by participating neurology residents when presented with same clinical vignettes. Methods Hundred neurology residents in seven leading Neurology centers across India participated in this study. A panel of experts created 60 clinical vignettes of varying levels of difficulty related to Cognitive neurology. Each neurology resident was instructed to formulate DDx from a set of 15 cognitive neurology vignettes. Experts in Cognitive Neurology made the gold standard DDx answers to all 60 clinical vignettes. The differentials generated by the App and neurology residents were then compared with the Gold standard. Results Sixty clinical vignettes were tested on 100 neurology residents (15 vignettes each) and also on the App (60 vignettes). The frequency of gold standard high likely answers accurately documented by the residents was 25% compared with 65% by the App (95% CI 33.1–46.3), P < 0.0001. Residents correctly identified the first high likely gold standard answer as their first high likely answer in 35% (95% CI 30.7–36.6) compared with 62% (95% CI 14.1–38.5), P < 0.0001. Conclusion An App with adequate knowledge-base and appropriate algorithm can augment and complement human diagnostic reasoning in drawing a comprehensive list of DDx in the field of Cognitive Neurology (CTRI/2017/06/008838).