ĭirnberger G, Jahanshahi M (2013) Executive dysfunction in Parkinson’s disease: a review. įengler S, Kessler J, Timmermann L, Zapf A, Elben S, Wojtecki L, Tucha O, Kalbe E (2016) Screening for cognitive impairment in Parkinson’s disease: improving the diagnostic utility of the MoCA through subtest weighting. Nazem S, Siderowf AD, Duda JE, Ten Have T, Colcher A, Horn SS, Moberg PJ, Wilkinson JR, Hurtig HI, Stern MB (2009) Montreal cognitive assessment performance in patients with Parkinson’s disease with “normal” global cognition according to mini-mental state examination score. Hoops S, Nazem S, Siderowf A, Duda J, Xie S, Stern M, Weintraub D (2009) Validity of the MoCA and MMSE in the detection of MCI and dementia in Parkinson disease. ĭalrymple-Alford J, MacAskill M, Nakas C, Livingston L, Graham C, Crucian G, Melzer T, Kirwan J, Keenan R, Wells S (2010) The MoCA well-suited screen for cognitive impairment in Parkinson disease. Nasreddine ZS, Phillips NA, Bédirian V, Charbonneau S, Whitehead V, Collin I, Cummings JL, Chertkow H (2005) The Montreal Cognitive Assessment, MoCA: a brief screening tool for mild cognitive impairment. Wyman-Chick KA, Martin PK, Barrett MJ, Manning CA, Sperling SA (2017) Diagnostic accuracy and confidence in the clinical detection of cognitive impairment in early-stage Parkinson disease. ![]() ījornestad A, Pedersen KF, Tysnes O-B, Alves G (2017) Clinical milestones in Parkinson’s disease: a 7-year population-based incident cohort study. Leroi I, McDonald K, Pantula H, Harbishettar V (2012) Cognitive impairment in Parkinson disease: impact on quality of life, disability, and caregiver burden. Īnang JB, Gagnon J-F, Bertrand J-A, Romenets SR, Latreille V, Panisset M, Montplaisir J, Postuma RB (2014) Predictors of dementia in Parkinson disease a prospective cohort study. Litvan I, Aarsland D, Adler CH, Goldman JG, Kulisevsky J, Mollenhauer B, Rodriguez-Oroz MC, Tröster AI, Weintraub D (2011) MDS task force on mild cognitive impairment in Parkinson’s disease: critical review of PD-MCI. Hely MA, Reid WG, Adena MA, Halliday GM, Morris JG (2008) The Sydney multicenter study of Parkinson’s disease: the inevitability of dementia at 20 years. Lawson RA, Yarnall AJ, Duncan GW, Breen DP, Khoo TK, Williams-Gray CH, Barker RA, Burn DJ (2017) Stability of mild cognitive impairment in newly diagnosed Parkinson’s disease. ![]() Future studies are needed to evaluate the predictive value of the weighted MoCA for PDD.ĭe Lau LM, Breteler MM (2006) Epidemiology of Parkinson’s disease. Our results indicate better discriminant power for the weighted MoCA compared to the original for more advanced stages of PD-MCI (2 SD cut-off). 70.5%) and specificity compared to the original version (79.0% vs. Areas under the curve only differed significantly for the 2 SD cut-off, leading to an increased sensitivity of the weighted MoCA score (72.9% vs. PD-MCI patients scored lower on the weighted than the original MoCA version ( p < 0.001) compared to PD patients with normal cognitive function. Group comparisons and ROC analysis were performed for PD-MCI classifications with a cut-off ≤ 1, 1.5, and 2 standard deviation (SD) below appropriate norms. Receiver operating characteristic (ROC) curve analysis was used to evaluate discriminative ability of the MoCA. In 202 non-demented PD patients, we evaluated cognitive status, clinical and demographic data, as well as the MoCA with a weighted and unweighted score. The aim of our study was to validate this scoring algorithm in a large sample of non-demented PD patients, hypothesizing that the weighted MoCA would have a higher diagnostic accuracy for PD-MCI than the original MoCA. Recently, a novel weighting algorithm for the Montreal Cognitive Assessment (MoCA) subtests has been reported, to best discriminate between those with and without cognitive impairment in PD. The early diagnosis of mild cognitive impairment (PD-MCI) in Parkinson’s disease (PD) is essential as it increases the future risk for PD dementia (PDD).
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