Jennifer Y Y Szeto1, Loren Mowszowski2, Moran Gilat1, Courtney C Walton1, Sharon L Naismith2, Simon J G Lewis3. 1. Parkinson's Disease Research Clinic, Brain and Mind Research Institute, University of Sydney, NSW, Australia. 2. Parkinson's Disease Research Clinic, Brain and Mind Research Institute, University of Sydney, NSW, Australia; Healthy Brain Ageing Program, Brain and Mind Research Institute, University of Sydney, NSW, Australia. 3. Parkinson's Disease Research Clinic, Brain and Mind Research Institute, University of Sydney, NSW, Australia. Electronic address: simonl@med.usyd.edu.au.
Abstract
BACKGROUND: Using the Movement Disorder Society (MDS) Task Force Level 1 criteria, this study examined the classification of mild cognitive impairment in Parkinson's Disease (PD-MCI) derived from a range of cut-off scores that have previously been suggested by the MDS Task Force. Furthermore, differences in PD-MCI frequencies were examined when comparing performance on current neuropsychological testing to the normative sample, as opposed to decline from premorbid functioning, as evidence of cognitive impairment. METHOD: Two hundred and thirty-four non-demented PD patients underwent neurological and neuropsychological assessment at the Parkinson's Disease Research Clinic at the Brain and Mind Research Institute, University of Sydney. RESULTS: When cognitive impairment was defined as 1SD and 1.5SD below premorbid intellect, 109 patients (47%) and 76 (32%) patients met criteria for PD-MCI respectively. This proportion dropped considerably to 50 patients (21%) with a 2SD cut-off score. However, when calculating impairment based on comparisons with normative data, only 68 patients (29%) and 41 patients (18%) met PD-MCI criteria when a cut-off score of 1 and 1.5SD was employed. This proportion dropped to just 22 patients (9%) with a 2SD cut-off score. CONCLUSION: Results from the present study suggest that the MDS PD-MCI criteria may be too broad, as substantial differences in frequencies of PD-MCI were observed with the application of differing criteria. We propose that a 1.5SD cut-off score below premorbid functioning may provide greater utility in characterizing PD-MCI than a 1.5SD cut-off below normative data, which has been widely applied in previous studies examining the MDS PD-MCI criteria.
BACKGROUND: Using the Movement Disorder Society (MDS) Task Force Level 1 criteria, this study examined the classification of mild cognitive impairment in Parkinson's Disease (PD-MCI) derived from a range of cut-off scores that have previously been suggested by the MDS Task Force. Furthermore, differences in PD-MCI frequencies were examined when comparing performance on current neuropsychological testing to the normative sample, as opposed to decline from premorbid functioning, as evidence of cognitive impairment. METHOD: Two hundred and thirty-four non-demented PD patients underwent neurological and neuropsychological assessment at the Parkinson's Disease Research Clinic at the Brain and Mind Research Institute, University of Sydney. RESULTS: When cognitive impairment was defined as 1SD and 1.5SD below premorbid intellect, 109 patients (47%) and 76 (32%) patients met criteria for PD-MCI respectively. This proportion dropped considerably to 50 patients (21%) with a 2SD cut-off score. However, when calculating impairment based on comparisons with normative data, only 68 patients (29%) and 41 patients (18%) met PD-MCI criteria when a cut-off score of 1 and 1.5SD was employed. This proportion dropped to just 22 patients (9%) with a 2SD cut-off score. CONCLUSION: Results from the present study suggest that the MDS PD-MCI criteria may be too broad, as substantial differences in frequencies of PD-MCI were observed with the application of differing criteria. We propose that a 1.5SD cut-off score below premorbid functioning may provide greater utility in characterizing PD-MCI than a 1.5SD cut-off below normative data, which has been widely applied in previous studies examining the MDS PD-MCI criteria.
Authors: Maria Elena Di Battista; Alfonso Rubino; Marcella Valente; Patrizia Giustini; Nicola Vanacore; Giuseppe Meco Journal: J Neural Transm (Vienna) Date: 2015-08-28 Impact factor: 3.575
Authors: Alon Seifan; Christine A Ganzer; Krista Ryon; Michael Lin; Rahman Mahmudur; Henriquez Adolfo; Cindy Shih; Alan R Jacobs; Molly Greenwald; Richard S Isaacson Journal: Curr Aging Sci Date: 2019
Authors: Jennifer Yy Szeto; Claire O'Callaghan; James M Shine; Courtney C Walton; Loren Mowszowski; Sharon L Naismith; Glenda M Halliday; Simon Jg Lewis Journal: NPJ Parkinsons Dis Date: 2015-08-27