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Updated: Jun 1, 2025

A Machine Learning Approach to Design an Efficient Selective Screening of Mild Cognitive Impairment
Published on: January 11, 2020
The Cognitive Footprint of Medication Use
Marta Suárez Pinilla1, Charlotte R Stoner2,3, Martin Knapp4
1Clinical Neuroscience Laboratory, Center for Biomedical Technology, Universidad Politécnica de Madrid, Madrid, Spain.
Introduction:
The cognitive side-effects of medication are common, but often overlooked in practice, and not routinely considered in interventional trials or post-market surveillance. The cognitive footprint of a medication seeks to quantify the impact of its cognitive effects based on magnitude, duration, and interaction with other factors, evaluated across the exposed population.
Methods:
Bayesian multivariable regression analysis of retrospective population-based cross-sectional cohorts.
Results:
We replicate positive and negative cognitive effects of commonly used medications in UK Biobank, and extend observed associations to two additional cohorts, the EPIC Norfolk, and the Caerphilly Prospective Cohort. We quantify the resultant cumulative impact at the population level given known patterns of prescribing and compare it with exemplar common diseases.
Conclusion:
The cognitive side-effects of commonly used drugs may have significant impact at the population level. Consideration should be given to a routine structured assessment of cognition in interventional trials and post-market surveillance.
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