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- Hall, Anette, et al.
(författare)
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Predicting Progression from Cognitive Impairment to Alzheimer's Disease with the Disease State Index
- 2015
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Ingår i: Current Alzheimer Research. - : Bentham Science Publishers Ltd.. - 1875-5828 .- 1567-2050. ; 12:1, s. 69-79
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Tidskriftsartikel (refereegranskat)abstract
- We evaluated the performance of the Disease State Index (DSI) method when predicting progression to Alzheimer's disease (AD) in patients with subjective cognitive impairment (SCI), amnestic or non-amnestic mild cognitive impairment (aMCI, naMCI). The DSI model measures patients' similarity to diagnosed cases based on available data, such as cognitive tests, the APOE genotype, CSF biomarkers and MRI. We applied the DSI model to data from the DE-SCRIPA cohort, where non-demented patients (N=775) with different subtypes of cognitive impairment were followed for 1 to 5 years. Classification accuracies for the subgroups were calculated with the DSI using leave-one-out cross-validation. The DSI's classification accuracy in predicting progression to AD was 0.75 (AUC=0.83) in the total population, 0.70 (AUC=0.77) for aMCI and 0.71 (AUC=0.76) for naMCI. For a subset of approximately half of the patients with high or low DSI values, accuracy reached 0.86 (all), 0.78 (aMCI), and 0.85 (naMCI). For patients with MRI or CSF biomarker data available, they were 0.78 (all), 0.76 (aMCI) and 0.76 (naMCI), while for clear cases the accuracies rose to 0.90 (all), 0.83 (aMCI) and 0.91 (naMCI). The results show that the DSI model can distinguish between clear and ambiguous cases, assess the severity of the disease and also provide information on the effectiveness of different biomarkers. While a specific test or biomarker may confound analysis for an individual patient, combining several different types of tests and biomarkers could be able to reveal the trajectory of the disease and improve the prediction of AD progression.
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- Lundqvist, Lars-Olov, 1958-, et al.
(författare)
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Psychometric properties of the Neuropsychiatric Inventory for adults with intellectual disability
- 2020
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Ingår i: JARID. - : Blackwell Publishing. - 1360-2322 .- 1468-3148. ; 33:6, s. 1210-1220
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Problem behaviours are common among people with intellectual disabilities (ID), but psychometrically evaluated instruments for assessing such behaviours are scarce. The present study evaluated the psychometric properties of the Neuropsychiatric Inventory-Intellectual Disability (NPI-ID).METHOD: We assessed 108 residents with intellectual disabilities living in group-homes using the NPI-ID, which included the 12 symptoms of the original NPI-Nursing Home and two supplementary symptoms: self-injurious behaviour and impulsive risk-taking behaviour.RESULTS: The NPI-ID showed adequate internal consistency (α = 0.76) and test-retest reliability (intraclass correlation coefficient = 0.88). Exploratory factor analysis revealed five factors accounting for 64.1% of the variance. Cluster analysis revealed that residents were clustered in three groups with distinctly different symptom profiles.CONCLUSIONS: The psychometric properties were satisfactory, supporting the use of the NPI-ID as a screening tool for people with intellectual disabilities. Additional research is needed to further evaluate the utility of the NPI-ID among people with intellectual disabilities.
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- Visser, Pieter Jelle, et al.
(författare)
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Prevalence and prognostic value of CSF markers of Alzheimer's disease pathology in patients with subjective cognitive impairment or mild cognitive impairment in the DESCRIPA study: a prospective cohort study.
- 2009
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Ingår i: Lancet neurology. - : The Lancet Publishing Group. - 1474-4422 .- 1474-4465. ; 8:7, s. 619-27
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Tidskriftsartikel (refereegranskat)abstract
- BACKGROUND: Alzheimer's disease (AD) pathology is common in patients with amnestic mild cognitive impairment (aMCI) without dementia, but the prevalence of AD pathology in patients with subjective cognitive impairment (SCI) and non-amnestic mild cognitive impairment (naMCI) is unknown. AD is characterised by decreased CSF concentrations of Abeta(42) and increased concentrations of tau. We investigated the prevalence of a CSF AD profile in patients with SCI, naMCI, or aMCI and the association of this profile with cognitive outcome in each group. METHODS: Patients with SCI, naMCI, aMCI, and neurologically healthy controls were recruited from 20 memory clinics across Europe, between January, 2003, and June, 2005, into this prospective cohort study. A CSF AD profile was defined as an abnormal ratio of Abeta(42):tau. Patients were assessed annually up to 3 years. Outcome measures were changes in memory, overall cognition, mini-mental state examination (MMSE) score, daily function, and progression to AD-type dementia. FINDINGS: The CSF AD profile was more common in patients with SCI (31 of 60 [52%]), naMCI (25 of 37 [68%]), and aMCI (56 of 71 [79%]) than in healthy controls (28 of 89 [31%]). The profile was associated with cognitive decline in patients with naMCI (memory, MMSE, and daily function) and in patients with aMCI (MMSE and daily function). In patients with aMCI, a CSF AD profile was predictive of AD-type dementia (OR 26.8, 95% CI 1.6-456.4). INTERPRETATION: AD is a common cause of SCI, naMCI, and aMCI and is associated with cognitive decline in patients with naMCI or aMCI. Patients with SCI might be in the early stages of AD, and cognitive decline might become apparent only after longer follow-up. FUNDING: European Commission; Ana Aslan International Foundation.
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