Research Article

Screening Mild and Major Neurocognitive Disorders in Parkinson’s Disease

Table 3

Diagnostic accuracy of screening tests for detecting major neurocognitive disorder due to Parkinson’s disease.

Diagnostic accuracy
MoCAACEMMSEMDRS
Estimation Lower 95% CI Upper 95% CIEstimation Lower 95% CI Upper 95% CIEstimation Lower 95% CI Upper 95% CIEstimation Lower 95% CI Upper 95% CI

Best cut-off score20.580.526.5132.5
Sensitivity0.921 0.860 0.9620.869 0.784 0.9270.692 0.600 0.7740.566 0.462 0.665
Specificity 0.801 0.738 0.8590.790 0.737 0.8410.806 0.752 0.8530.943 0.905 0.970
Positive predictive value 0.750 0.674 0.8160.640 0.550 0.7140.623 0.534 0.7070.812 0.699 0.896
Negative predictive value0.953 0.917 0.9800.921 0.874 0.9450.850 0.798 0.8930.835 0.784 0.878
Diagnostic accuracy0.8630.823 0.8970.814 0.764 0.8790.770 0.724 0.8120.830 0.785 0.869
Likelihood ratio of a positive test5.457 4.081 7.2974.284 3.292 5.5753.575 2.704 4.72510.008 5.742 17.442
Likelihood ratio of a negative test 0.095 0.052 0.1720.162 0.097 0.2690.382 0.289 0.5040.460 0.367 0.578

Major neurocognitive disorder because Parkinson’s disease was defined by the Diagnostic and Statistical Manual of Mental Disorders 5th edition criteria.
ACE: Addenbrooke’s Cognitive Examination; CI: confidence interval; MDRS: Mattis Dementia Rating Scale; MMSE: Mini Mental State Examination; MoCA: Montreal Cognitive Assessment.