ArticleHeart & lung : the journal of critical care
Performance of the Automated Neuropsychological Assessment Metrics (ANAM) in detecting cognitive impairment in heart failure patients.
Article in Heart & lung : the journal of critical care. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
What it found
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Who cites it
4 citing papers in PubMed, 10 citations in OpenAlex.
- The Potential of Automated Assessment of Cognitive Function Using Non-Neuroimaging Data: A Systematic Review.Journal of clinical medicine · 2024Review
- Article
- The Effects of Moderate Physical Exercise on Adult Cognition: A Systematic Review.Frontiers in physiology · 2018Article
- Effect of educational status on performance of older adults in digital cognitive tasks: A systematic review.Dementia & neuropsychologiaArticle
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Authors and funding
7 authors at 4 institutions in 1 country.
Funding
Abstract
objectiveEvaluate capacity of the Automated Neuropsychological Assessment Metrics (ANAM) to detect cognitive impairment (CI) in heart failure (HF) patients.
backgroundCI is a key prognostic marker in HF. Though the most widely used cognitive screen in HF, the Mini-Mental State Examination (MMSE) is insufficiently sensitive. The ANAM has demonstrated sensitivity to cognitive domains affected by HF, but has not been assessed in this population.
methodsInvestigators administered the ANAM and MMSE to 57 HF patients, compared against a composite model of cognitive function.
resultsANAM efficiency (p < .05) and accuracy scores (p < .001) successfully differentiated CI and non-CI. ANAM efficiency and accuracy scores classified 97.7% and 93.0% of non-CI patients, and 14.3% and 21.4% with CI, respectively.
conclusionsThe ANAM is more effective than the MMSE for detecting CI, but further research is needed to develop a more optimal cognitive screen for routine use in HF patients.
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