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This study examined the utility of the recently published MMSE-2:SV in detecting cognitive impairment. We used receiver operating characteristics to test the discriminative power of the MMSE-2:SV for distinguishing between older adults without mild cognitive impairment (MCI) or dementia (n=67) and patients with MCI (n=76) or dementia (n=79). The results show that the MMSE-2:SV had excellent discriminative ability in distinguishing older controls from patients with dementia, with cut-off scores of 26 and 27 (max=30) yielding appropriate sensitivity (0.810 and 0.924, respectively) and specificity (0.940 and 0.806). Discriminative power was close to good in distinguishing between older controls and patients with MCI. Here, however, no optimal cut-off point could be determined. Even though this study shows good sensitivity and adequate specificity for the MMSE-2:SV in discriminating individuals without MCI or dementia from those with dementia, its validity is limited for identifying patients with MCI.

Objective: To pilot a three-step diagnostic model for young and old patients with Parkinson's disease dementia (PDD)., Methods: Prospective investigator-blinded study. We developed a screening questionnaire for patients with Parkinson's disease (PD) and their caregivers. Further, patients were subjected to three screening instruments (Montreal Cognitive Assessment (MoCA), Frontal Assessment Battery (FAB), Addenbrooke's Cognitive Examination-revised (ACE-R) and a detailed neuropsychological examination (NPE). Based on the NPE, patients were divided in a PD (without dementia) and a PDD-group., Results: Forty-one PD patients, aged 37-94 years, participated in this study. Patients were divided in a young group, < or = 65 (n = 22) and an old group >65 years (n = 19). In the young group (PDD, n = 5) the patient-screening questionnaire predicted PDD with a sensitivity/specificity of 100.0%/94.1%; in the old group (PDD, n = 10) the proxy-screening questionnaire predicted PDD with a sensitivity/specificity of 88.9%/66.7%. In the young group, ACE-R had the largest Area Under the Curve (AUC) 0.88 (0.70-1.00), in the old group MoCA (AUC 1.00). However, the three instruments did not differ significantly., Conclusions: It seems feasible and efficient to use three consecutive diagnostic steps for PDD: (1) a screening questionnaire, (2) if positive: MoCA, FAB or ACE-R as screening instrument and (3) if positive: a detailed NPE for diagnosing PDD.