| 11. |
- Eckerström, Carl, et al.
(författare)
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The Göteborg MCI study – absolute and normalized hippocampal volumes in the prediction of dementia
- 2007
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Ingår i: The Annual General Meeting of the Swedish Society of Medicine, Nov. 28-30, 2007.
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Konferensbidrag (övrigt vetenskapligt/konstnärligt)abstract
- Mild cognitive impairment (MCI) is a state where the cognitive functions are more impaired than what would be expected from aging alone but not enough to be described as dementia. In our material, there was an overrepresentation of men in the stable MCI group and an overrepre-sentation of women in the two other groups. Normalization of the data removed the gender-related differences in hippocampal volume and allowed for better utilization of the data. Hippocampal volumetry predicts conversion to dementia in MCI patients.
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| 12. |
- Eckerström, Marie, 1981, et al.
(författare)
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High Prevalence of Stress and Low Prevalence of Alzheimer Disease CSF Biomarkers in a Clinical Sample with Subjective Cognitive Impairment
- 2016
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Ingår i: Dementia and Geriatric Cognitive Disorders. - : S. Karger AG. - 1420-8008 .- 1421-9824. ; 42:1-2, s. 93-105
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Tidskriftsartikel (refereegranskat)abstract
- Background/Aims: Subjective cognitive impairment (SCI) is a trigger for seeking health care in a possible preclinical phase of Alzheimer's disease (AD), although the characteristics of SCI need clarification. We investigated the prevalence of psychosocial stress, depressive symptoms and CSF AD biomarkers in SCI and MCI (mild cognitive impairment). Methods: Memory clinic patients (SCI: n = 90; age: 59.8 ± 7.6 years; MCI: n = 160; age: 63.7 ± 7.0 years) included in the Gothenburg MCI study were examined at baseline. Variables were analyzed using logistic regression with SCI as dependent variable. Results: Stress was more prevalent in SCI (51.1%) than MCI (23.1%); p < 0.0005. SCI patients had more previous depressive symptoms (p = 0.006), but showed no difference compared to MCI patients considering current depressive symptoms. A positive CSF AD profile was present in 14.4% of SCI patients and 35.0% of MCI patients (p = 0.001). Stress (p = 0.002), previous stress/depressive symptoms (p = 0.006) and a negative CSF AD profile (p = 0.036) predicted allocation to the SCI group. Conclusion: Psychosocial stress is more prevalent in SCI than previously acknowledged. The high prevalence and long-term occurrence of stress/depressive symptoms in SCI in combination with a low prevalence of altered CSF AD biomarkers strengthens the notion that AD is not the most likely etiology of SCI.
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| 13. |
- Eckerström, Marie, 1981, et al.
(författare)
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Longitudinal evaluation of criteria for subjective cognitive decline and preclinical Alzheimer's disease in a memory clinic sample.
- 2017
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Ingår i: Alzheimer's & Dementia. - : Wiley. - 1552-5260 .- 1552-5279. ; 16:8, s. 96-107
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Tidskriftsartikel (refereegranskat)abstract
- Subjective cognitive decline (SCD) and biomarker-based "at-risk" concepts such as "preclinical" Alzheimer's disease (AD) have been developed to predict AD dementia before objective cognitive impairment is detectable. We longitudinally evaluated cognitive outcome when using these classifications.Memory clinic patients (n = 235) were classified as SCD (n = 122): subtle cognitive decline (n = 36) and mild cognitive impairment (n = 77) and subsequently subclassified into SCDplus and National Institute on Aging-Alzheimer's Association (NIA-AA) stages 0 to 3. Mean (standard deviation) follow-up time was 48 (35) months. Proportion declining cognitively and prognostic accuracy for cognitive decline was calculated for all classifications.Among SCDplus patients, 43% to 48% declined cognitively. Among NIA-AA stage 1 to 3 patients, 50% to 100% declined cognitively. The highest positive likelihood ratios (+LRs) for subsequent cognitive decline (+LR 6.3), dementia (+LR 3.4), and AD dementia (+LR 6.5) were found for NIA-AA stage 2.In a memory clinic setting, NIA-AA stage 2 seems to be the most successful classification in predicting objective cognitive decline, dementia, and AD dementia.
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| 14. |
- Eckerström, Marie, 1981, et al.
(författare)
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Sahlgrenska Academy Self-reported Cognitive Impairment Questionnaire (SASCI-Q) - a research tool discriminating between subjectively cognitively impaired patients and healthy controls.
- 2013
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Ingår i: International psychogeriatrics / IPA. - 1741-203X. ; 25:3, s. 420-430
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Tidskriftsartikel (refereegranskat)abstract
- ABSTRACT Background: Subjective cognitive impairment (SCI) is a potential early marker for actual cognitive decline. The cognitive manifestation of the SCI stage is, however, largely unknown. Self-report instruments developed especially for use in the SCI population are lacking, and many SCI studies have not excluded mild cognitive impairment and dementia. We developed and tested a patient-based questionnaire on everyday cognitive function aiming to discriminate between patients with subjective, but not objective, cognitive impairment and healthy controls. Methods: Individuals experiencing cognitive impairment were interviewed to generate a pool of items. After condensing to 97 items, we tested the questionnaire in 93 SCI patients seeking care at a memory clinic (age M = 64.5 years, Mini-Mental State Examination (MMSE) M = 29.0) and 50 healthy controls (age M = 69.6 years, MMSE M = 29.3). Further item reduction was conducted to maximize that remaining items would discriminate between SCI patients and controls, using a conservative α level and requiring medium to high effect sizes. Internal consistency reliability and convergent validity was subsequently examined. Results: Forty-five items discriminated between the groups, resulting in the Sahlgrenska Academy Self-reported Cognitive Impairment Questionnaire (SASCI-Q). Internal consistency was high and correlations to a single question on memory functioning were of medium to large sizes. Most remaining items were related to the memory domain. Conclusion: The SASCI-Q discriminates between SCI patients and healthy controls and demonstrates satisfying psychometric properties. The instrument provides a research method for examining SCI and forms a foundation for future examining which SCI symptoms predict objective cognitive decline. The cognitive manifestation of the SCI stage is mostly related to experiences of memory deficits.
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| 15. |
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| 16. |
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| 17. |
- Göthlin, Mattias, 1978, et al.
(författare)
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Prognostic Accuracy of Mild Cognitive Impairment Subtypes at Different Cut-Off Levels.
- 2017
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Ingår i: Dementia and geriatric cognitive disorders. - : S. Karger AG. - 1421-9824 .- 1420-8008. ; 43:5-6, s. 330-341
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Tidskriftsartikel (refereegranskat)abstract
- The prognostic accuracy of mild cognitive impairment (MCI) in clinical settings is debated, variable across criteria, cut-offs, subtypes, and follow-up time. We aimed to estimate the prognostic accuracy of MCI and the MCI subtypes for dementia using three different cut-off levels.Memory clinic patients were followed for 2 (n = 317, age 63.7 ± 7.8) and 4-6 (n = 168, age 62.6 ± 7.4) years. We used 2.0, 1.5, and 1.0 standard deviations (SD) below the mean of normal controls (n = 120, age 64.1 ± 6.6) to categorize MCI and the MCI subtypes. Prognostic accuracy for dementia syndrome at follow-up was estimated.Amnestic multi-domain MCI (aMCI-md) significantly predicted dementia under all conditions, most markedly when speed/attention, language, or executive function was impaired alongside memory. For aMCI-md, sensitivity increased and specificity decreased when the cut-off was lowered from 2.0 to 1.5 and 1.0 SD. Non-subtyped MCI had a high sensitivity and a low specificity.Our results suggest that aMCI-md is the only viable subtype for predicting dementia for both follow-up times. Lowering the cut-off decreases the positive predictive value and increases the negative predictive value of aMCI-md. The results are important for understanding the clinical prognostic utility of MCI, and MCI as a non-progressive disorder.
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| 18. |
- Jonsson, Michael, 1955, et al.
(författare)
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Apathy is a prominent neuropsychiatric feature of radiological white-matter changes in patients with dementia.
- 2010
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Ingår i: International journal of geriatric psychiatry. - : Wiley. - 1099-1166 .- 0885-6230. ; 25:6, s. 588-95
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Tidskriftsartikel (refereegranskat)abstract
- OBJECTIVE: Cerebral white-matter changes (WMCs) are frequently found in dementia and have been proposed to be related to vascular factors and a certain symptomatological profile. However, few studies have included both vascular factors and a broad spectrum of cognitive, neurological and psychiatric symptoms, easily detectable by the physician in the everyday clinical work. The objective was to study the relationships between WMCs on MRI/CT and neuropsychiatric symptoms and vascular factors in patients with cognitive impairment. METHODS: One hundred and seventy-six patients with Alzheimer's disease, vascular dementia, mixed dementia, and mild cognitive impairment were included. All patients underwent a standardized examination including medical history, clinical examinations, laboratory tests and brain imaging (CT or MRI). The identification and severity degree of WMCs was assessed blindly to clinical findings, using a semi-quantitative scale. For statistical analyses, patients were grouped based on absence or presence of WMCs. Significant variables in bivariate analyses were included as predictors in stepwise multiple logistic regression analyses. RESULTS: Bivariate analyses showed significant associations between WMCs and age, gender, blood pressure, hypertension, ischaemic heart disease and TIA/RIND. Furthermore, there were significant associations between WMCs and apathy, mental slowness, disinhibition, gait disturbance and focal neurologic symptoms. The multivariate logistic model revealed apathy, mental slowness and age as the most consistent predicting factors for WMCs, together with MRI as a radiological method for the detection of WMCs. CONCLUSIONS: The findings indicate that WMCs in patients with dementia are associated with a dysexecutive-related behavioural symptom profile, vascular factors related to small and large vessel diseases and age. Copyright (c) 2009 John Wiley & Sons, Ltd.
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| 19. |
- Jonsson, Michael, 1955, et al.
(författare)
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Low Cerebrospinal Fluid Sulfatide Predicts Progression of White Matter Lesions - The LADIS Study
- 2012
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Ingår i: Dementia and Geriatric Cognitive Disorders. - : S. Karger AG. - 1420-8008 .- 1421-9824. ; 34:1, s. 61-67
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Tidskriftsartikel (refereegranskat)abstract
- Background/Aims: Demyelination and axonal degeneration are the hallmarks of established white matter lesions (WML). The neurochemistry of ongoing WML is only partially known. We explored cerebrospinal fluid (CSF) substances as markers of brain tissue damage in relation to progression of WML rated on magnetic resonance imaging. Methods: CSF from elderly individuals with WML was analyzed for amyloid markers, total tau, hyperphosphorylated t, neurofilament protein light subunit, sulfatide and CSF/serum-albumin ratio. After 3 years, a follow-up magnetic resonance imaging was performed. Progression of WML was rated using the Rotterdam Progression Scale (RPS). Results: 37 subjects (age 73.6 +/- 4.6 years) were included. Subjects with more pronounced progression (RPS > 2; n = 15) had lower mean sulfatide concentration at baseline as compared to subjects with no or minimal progression (RPS 0-2; n = 22) according to univariate analyses (p = 0.009). Sulfatide was the only biomarker that predicted the RPS score according to regression analysis, explaining 18.9% of the total variance (r = 0.38, p = 0.015). Conclusion: The correlation of CSF sulfatide levels and RPS scores may reflect a remyelination response to the demyelination process associated with WML. Furthermore, the results strengthen the notion that WML pathology is different from that of Alzheimer's disease.
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| 20. |
- Kruczyk, Marcin, et al.
(författare)
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Monte Carlo feature selection and rule-based models to predict Alzheimer's disease in mild cognitive impairment.
- 2012
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Ingår i: Journal of neural transmission (Vienna, Austria : 1996). - : Springer Science and Business Media LLC. - 1435-1463 .- 0300-9564. ; 119:7, s. 821-31
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Tidskriftsartikel (refereegranskat)abstract
- The objective of the present study was to evaluate a Monte Carlo feature selection (MCFS) and rough set Rosetta pipeline for generating rule-based models as a tool for comprehensive risk estimates for future Alzheimer's disease (AD) in individual patients with mild cognitive impairment (MCI). Risk estimates were generated on the basis of age, gender, Mini-Mental State Examination scores, apolipoprotein E (APOE) genotype and the cerebrospinal fluid (CSF) biomarkers total tau (T-tau), phospho-tau(181) (P-tau) and the 42 amino acid form of amyloid β (Aβ42) in two sets of longitudinally followed MCI patients (n = 217 in total). The predictive model was created in Rosetta, evaluated with the standard tenfold cross-validation approach and tested on an external set. Features were ranked and selected by the MCFS algorithm. Using the combined pipeline of MCFS and Rosetta, it was possible to predict AD among patients with MCI with an area under the receiver operating characteristics curve of 0.92. Risk estimates were produced for the individual patients and showed good correlation with actual diagnosis in cross validation, and on an external dataset from a new study. Analysis of the importance of attributes showed that the biochemical CSF markers contributed the most to the predictions, and that added value was gained by combining several biochemical markers. Despite a correlation with the biochemical markers, the genetic marker APOE ε4 did not contribute to the predictive power of the model.
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