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Article

SART and Individual Trial Mistake Thresholds: Predictive Model for Mobility Decline

1
The Irish Longitudinal Study on Ageing, Trinity College Dublin, D02 R590 Dublin, Ireland
2
Discipline of Medical Gerontology, School of Medicine, Trinity College Dublin, D02 PN40 Dublin, Ireland
3
Mercer’s Institute for Successful Ageing, St. James’s Hospital, D08 NHY1 Dublin, Ireland
4
Global Brain Health Institute, Trinity College Dublin, D02 PN40 Dublin, Ireland
*
Author to whom correspondence should be addressed.
Academic Editors: David Facal, Carlos Spuch and Sonia Valladares Rodriguez
Geriatrics 2021, 6(3), 85; https://doi.org/10.3390/geriatrics6030085
Received: 12 August 2021 / Revised: 26 August 2021 / Accepted: 27 August 2021 / Published: 31 August 2021
(This article belongs to the Special Issue Cognitive Aging and Cognitive Impairment 2021)
The Sustained Attention to Response Task (SART) has been used to measure neurocognitive functions in older adults. However, simplified average features of this complex dataset may result in loss of primary information and fail to express associations between test performance and clinically meaningful outcomes. Here, we describe a new method to visualise individual trial (raw) information obtained from the SART test, vis-à-vis age, and groups based on mobility status in a large population-based study of ageing in Ireland. A thresholding method, based on the individual trial number of mistakes, was employed to better visualise poorer SART performances, and was statistically validated with binary logistic regression models to predict mobility and cognitive decline after 4 years. Raw SART data were available for 4864 participants aged 50 years and over at baseline. The novel visualisation-derived feature bad performance, indicating the number of SART trials with at least 4 mistakes, was the most significant predictor of mobility decline expressed by the transition from Timed Up-and-Go (TUG) < 12 to TUG ≥ 12 s (OR = 1.29; 95% CI 1.14–1.46; p < 0.001), and the only significant predictor of new falls (OR = 1.11; 95% CI 1.03–1.21; p = 0.011), in models adjusted for multiple covariates. However, no SART-related variables resulted significant for the risk of cognitive decline, expressed by a decrease of ≥2 points in the Mini-Mental State Examination (MMSE) score. This novel multimodal visualisation could help clinicians easily develop clinical hypotheses. A threshold approach to the evaluation of SART performance in older adults may better identify subjects at higher risk of future mobility decline. View Full-Text
Keywords: sustained attention to response task; SART; multimodal visualization; threshold; timed up-and-go; falls; cognition; repeated measures; mobility decline sustained attention to response task; SART; multimodal visualization; threshold; timed up-and-go; falls; cognition; repeated measures; mobility decline
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MDPI and ACS Style

Rizzo, R.; Knight, S.P.; Davis, J.R.C.; Newman, L.; Duggan, E.; Kenny, R.A.; Romero-Ortuno, R. SART and Individual Trial Mistake Thresholds: Predictive Model for Mobility Decline. Geriatrics 2021, 6, 85. https://doi.org/10.3390/geriatrics6030085

AMA Style

Rizzo R, Knight SP, Davis JRC, Newman L, Duggan E, Kenny RA, Romero-Ortuno R. SART and Individual Trial Mistake Thresholds: Predictive Model for Mobility Decline. Geriatrics. 2021; 6(3):85. https://doi.org/10.3390/geriatrics6030085

Chicago/Turabian Style

Rizzo, Rossella, Silvin Paul Knight, James R. C. Davis, Louise Newman, Eoin Duggan, Rose Anne Kenny, and Roman Romero-Ortuno. 2021. "SART and Individual Trial Mistake Thresholds: Predictive Model for Mobility Decline" Geriatrics 6, no. 3: 85. https://doi.org/10.3390/geriatrics6030085

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