Alzheimer Disease Clinical Trial
Official title:
Validation of the Montreal Cognitive Assessment in Patients With Mild and Major Neurocognitive Disorder
The primary aim of our study is to investigate the specificity, the sensitivity, and the
overall diagnostic accuracy of the MoCA for mild and major NCD in a German-speaking
population.
Secondary aims are: (1) to study the MoCA performance in different patient groups and (2) to
compare the diagnostic properties of the MoCA with the ones of the MMSE (i.e., the current
reference standard for screening of MCI).
Due to the demographical development, age-related diseases will drastically increase over the
next decades. To face this healthcare challenge, early and accurate identification of
cognitive impairment is crucial. The early detection of cognitive decline requires a tool
that is short, easy to administer and interpret, and has high diagnostic accuracy. Currently,
a widely used instrument is the Mini-Mental State Examination (MMSE). However, the MMSE
sensitivity is poor when identifying individuals with MCI, and it lacks meaningful assessment
of executive functions. The Montreal Cognitive Assessment (MoCA) has been developed to
address these weaknesses. It has demonstrated better diagnostic accuracy in patients with
MCI, has less ceiling effect, and a higher test-retest-reliability. In addition, the MoCA
better captures the cognitive domains proposed in the Diagnostic and Statistical Manual of
Mental Disorders (DSM-5).
In 2018, the investigators generated demographically adjusted normative values for the German
version of the MoCA in cognitively healthy individuals. However, these normative data alone
are not suitable to determine the exact diagnostic accuracy. Therefore, the investigators aim
to analyze data from patients with cognitive disorders to validate the German version of the
MoCA.
Validation studies for the MoCA have been performed in various languages and different
etiologies, mainly in patients with MCI and AD. However, when applying the MoCA in a clinical
routine setting, the patient population is more heterogeneous and different etiologies may
lead to deficits in characteristic cognitive domains. Therefore, patients with diseases other
than AD may perform differently on items of the MoCA. This might translate into differences
regarding the optimal cut-off score to detect possible cognitive impairment. Thus, when
solely relying on a cut-off score that has been validated in a population of AD patients,
patients with other diseases leading to cognitive impairment may be missed.
The investigators therefore aim to establish the diagnostic accuracy of the MoCA when applied
in a clinically diverse patient sample, namely, a sample that is seen in a typical Memory
Clinic. In a first step, the diagnostic properties of the MoCA will be investigated by
differentiating between healthy controls and all patients with mild and major neurocognitive
disorders (NCD). In a second step, healthy controls will be compared separately to patients
with mild NCD and to patients with major NCD. The investigators further aim to investigate
the aptness of the MoCA for differential diagnostic. The MoCA performance of different
diagnostic patient groups will be compared. Investigating the presence or absence of deficits
per subitem in each patient group may reveal if different etiologies lead to characteristic
MoCA profiles.
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