|کد مقاله||کد نشریه||سال انتشار||مقاله انگلیسی||ترجمه فارسی||نسخه تمام متن|
|2652361||1139630||2015||8 صفحه PDF||سفارش دهید||دانلود کنید|
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.
Journal: Heart & Lung: The Journal of Acute and Critical Care - Volume 44, Issue 5, September–October 2015, Pages 387–394