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1.
Article in English | MEDLINE | ID: mdl-35012440

ABSTRACT

The current study aimed to define and validate the criteria for characterizing possible and probable cognitive deficits based on the psychometric approach using the Uniform data set Czech version (UDS-CZ 2.0) to reduce the rate of misdiagnosis. We computed the prevalence of low scores on the 14 subtests of UDS-CZ 2.0 in a normative sample of healthy older adults and validated criteria for possible and probable cognitive impairment on the sample of amnestic Mild Cognitive Impairment (MCI) patients. The misclassification rate of the validation sample using psychometrically derived criteria remained low: for classification as possible impairment, we found 66-76% correct classification in the clinical sample and only 2-8% false positives in the healthy control validation sample, similar results were obtained for probable cognitive impairment. Our findings offer a psychometric approach and a computational tool to minimize the misdiagnosis of mild cognitive impairment compared to traditional criteria for MCI.


Subject(s)
Alzheimer Disease , Cognition Disorders , Cognitive Dysfunction , Humans , Aged , Neuropsychological Tests , Alzheimer Disease/psychology , Cognitive Dysfunction/diagnosis
2.
Clin Neuropsychol ; 35(8): 1381-1397, 2021 11.
Article in English | MEDLINE | ID: mdl-32306891

ABSTRACT

OBJECTIVE: The purpose of the present study was to investigate if participants in NANOK study (National Normative Study of Cognitive Determinants of Healthy Ageing) who show no cognitive decline throughout five years (successful healthy agers; SHA) will show less age-related differences in instrumental activities of daily living (IADL) based on Functional Activities Questionnaire in comparison to participants who show subtle cognitive decline (Decliners) over time. METHOD: We used two different classifications of SHA: Rogalski (N = 25 SHA and N = 15 Decliners) based on cross-sectional neuropsychology measures and linear mixed model (LMEM; 20 SHA and 20 Decliners) based on the Montreal Cognitive Assessment longitudinal 5-years follow-up. Whole-brain T1- and T2-weighted images were corrected for distortions and segmented using Freesurfer. Whole-brain volumetry was performed using FSL's voxel-based morphometry tool. RESULTS: The cognitive decline after four years follow-up but not age predicts subtle impairment in IADL in healthy ageing participants. We found brain volumetric differences between SHA and Decliners based on Rogalski but not LMEM classification especially in bilateral insular cortices and ventrolateral frontal cortex. The logistic regression model achieved an accuracy of 75% for the Rogalski in comparison to 67.5% for the LMEM classification. CONCLUSIONS: Slight restrictions in IADL seem to be a useful tool for screening healthy ageing participants at risk of developing subtle cognitive decline over a period of five years and the cross-sectional Rogalski criteria based on standardized neuropsychological measures were superior for tapping age-related brain changes to longitudinal LMEM classification based on screening (Montreal Cognitive Assessment).


Subject(s)
Cognitive Dysfunction , Healthy Aging , Activities of Daily Living , Cognition , Cognitive Dysfunction/diagnosis , Cross-Sectional Studies , Humans , Neuropsychological Tests
3.
Assessment ; 27(8): 1960-1970, 2020 12.
Article in English | MEDLINE | ID: mdl-29929376

ABSTRACT

The Montreal Cognitive Assessment (MoCA) is one of the most common screening instruments for mild cognitive impairment. However, the standard MoCA is approximately two times longer to administer than the Mini-Mental State Examination. A total of 699 Czech and 175 American participants received the standard MoCA Czech and English versions and in the clinical part, a sample of 102 nondemented patients with Parkinson's disease (PD). We created a validated Czech short version (s-MoCA-CZ) from the original using item response theory. As expected, s-MoCA-CZ scores were highly correlated with the standard version (Pearson r = .94, p < .001). s-MoCA-CZ also had 80% classification accuracy in the differentiation of PD mild cognitive impairment from PD without impairment. The s-MoCA-CZ, a brief screening tool, is shorter to administer than the standard MoCA. It provides high-classification accuracy for PD mild cognitive impairment and is equivalent to that of the standard MoCA-CZ.


Subject(s)
Cognitive Dysfunction , Parkinson Disease , Cognition , Cognitive Dysfunction/diagnosis , Cross-Cultural Comparison , Czech Republic , Humans , Mental Status and Dementia Tests , Neuropsychological Tests , Parkinson Disease/diagnosis
4.
Psych J ; 9(1): 147-149, 2020 Feb.
Article in English | MEDLINE | ID: mdl-31721477

ABSTRACT

Some people aged 80 years and older are "memory SuperAgers" (SAs), that is, they have the episodic memory of a sexagenarian. In a sample of 208 non-demented adults, we found that 12% were SAs. A total of 101 participants completed the 4-year study; of this subsample, 10.9% were stable SAs and 61.3% stable non-SAs across all assessments. The SA phenotype is conducive to further research.


Subject(s)
Aging , Cognition , Healthy Volunteers/statistics & numerical data , Memory, Episodic , Neuropsychological Tests/statistics & numerical data , Aged, 80 and over , Female , Humans , Male
5.
Cas Lek Cesk ; 157(1): 30-33, 2018.
Article in Czech | MEDLINE | ID: mdl-29564904

ABSTRACT

Palliative care is an important constituent of widely accepted quality care standard in seriously ill patients. The needs of these patients in perioperative setting or in intensive care are considerable for attending teams. Principal issues discussed include excellent communication skills during decision making before a high-risk surgery, and risk-benefit weighting in order to respect patients values and preferences. This article, based on examples of interventions in both perioperative care and in intensive care units, aims to demonstrate a complex integrated palliative approach.


Subject(s)
Communication , Critical Care , Palliative Care , Patient Care Team , Decision Making , Humans , Intensive Care Units , Perioperative Period
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