Publications by authors named "Alessandra E Thomann"
Background: Early and accurate detection of cognitive changes using simple tools is essential for an appropriate referral to a more detailed neurocognitive assessment and for the implementation of therapeutic strategies. The Mini-Mental Status Examination (MMSE) and the Montreal Cognitive Assessment (MoCA) are two commonly used psychometric tests for cognitive screening. Both tests have different strengths and weaknesses.
View Article and Find Full Text PDFBackground: Evaluating the discrepancies between patient-reported measures and clinician examination has implications for formulating individual treatment regimens.
Objective: This study investigated the association between health outcomes and level of self-reported motor-related function impairment relative to clinician-examined motor signs.
Methods: Recently diagnosed PD patients were evaluated using the Parkinson's Progression Marker Initiative (PPMI, N = 420) and the PASADENA phase II clinical trial (N = 316).
Article Synopsis
- The study evaluates the Montreal Cognitive Assessment (MoCA) and aims to improve its cut-off score for diagnosing cognitive impairment, as the original score of 25/26 lacks specificity.
- Researchers analyzed data from nearly 800 participants, finding that a new cut-off score of 23/24 improved classification rates and specificity significantly compared to the original.
- Introducing two distinct cut-offs enhances diagnostic accuracy, allowing more precise cognitive screenings, especially for individuals with scores in the undecided range.
Background: The Montreal Cognitive Assessment (MoCA) is used to evaluate multiple cognitive domains in elderly individuals. However, it is influenced by demographic characteristics that have yet to be adequately considered.
Objective: The aim of our study was to investigate the effects of age, education, and sex on the MoCA total score and to provide demographically adjusted normative values for a German-speaking population.
Background: Preexisting cognitive impairment in surgical patients is one of the leading risk factors for adverse cognitive outcomes such as postoperative delirium and postoperative cognitive dysfunction. We developed a self-administered tablet computer application intended to assess the individual risk for adverse postoperative cognitive outcomes. This cross-sectional study aimed to establish normative data for the tool.
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