Validating a Pragmatic Approach to Cognitive Screening in Stroke Prevention Clinics Using the Montreal Cognitive Assessment
Author(s) -
Richard H. Swartz,
Megan L. Cayley,
Krista L. Lanctôt,
Brian J. Murray,
Eric E. Smith,
Demetrios J. Sahlas,
Nathan Herrmann,
Ashley Cohen,
Kevin E. Thorpe
Publication year - 2016
Publication title -
stroke
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.397
H-Index - 319
eISSN - 1524-4628
pISSN - 0039-2499
DOI - 10.1161/strokeaha.115.011036
Subject(s) - montreal cognitive assessment , medicine , receiver operating characteristic , stroke (engine) , neuropsychology , area under the curve , cut point , cognition , likelihood ratios in diagnostic testing , neuropsychological assessment , cognitive impairment , predictive value of tests , positive predicative value , predictive value , psychiatry , statistics , mechanical engineering , mathematics , engineering
The Montreal Cognitive Assessment (MoCA) is used commonly to identify cognitive impairment (CI), but there are multiple published cut points for normal and abnormal. We seek to validate a pragmatic approach to screening for moderate-severe CI, by classifying patients into high-, intermediate-, and low-risk categories.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom