7 results on '"Rienhoff, Otto"'
Search Results
2. Incremental value of biomarker combinations to predict progression of mild cognitive impairment to Alzheimer’s dementia
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Frölich, Lutz, Peters, Oliver, Lewczuk, Piotr, Gruber, Oliver, Teipel, Stefan J., Gertz, Hermann J., Jahn, Holger, Jessen, Frank, Kurz, Alexander, Luckhaus, Christian, Hüll, Michael, Pantel, Johannes, Reischies, Friedel M., Schröder, Johannes, Wagner, Michael, Rienhoff, Otto, Wolf, Stefanie, Bauer, Chris, Schuchhardt, Johannes, Heuser, Isabella, Rüther, Eckart, Henn, Fritz, Maier, Wolfgang, Wiltfang, Jens, and Kornhuber, Johannes
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Male ,BMI ,COMT Val108/158Met polymorphism ,DBH-1021C/T polymorphism ,Hemoglobin A1c (HbA1c) ,Insulin detemir ,Type 2 diabetes mellitus ,physiopathology [Cognitive Dysfunction] ,Support Vector Machine ,endocrine system diseases ,pathology [Cognitive Dysfunction] ,cerebrospinal fluid [Amyloid beta-Peptides] ,Neuropsychological Tests ,Hippocampus ,lcsh:RC346-429 ,pathology [Alzheimer Disease] ,610 Medical sciences Medicine ,Medizinische Fakultät ,Phospho-tau ,Amyloid-beta 42 ,Phosphorylation ,diagnostic imaging [Hippocampus] ,diagnosis [Alzheimer Disease] ,Organ Size ,Prognosis ,amyloid beta-protein (1-42) ,cerebrospinal fluid [Biomarkers] ,Disease Progression ,Educational Status ,Female ,Alzheimer’s dementia ,MAPT protein, human ,tau Proteins ,physiopathology [Alzheimer Disease] ,Sensitivity and Specificity ,lcsh:RC321-571 ,Alzheimer Disease ,mental disorders ,Humans ,Cognitive Dysfunction ,cerebrospinal fluid [Peptide Fragments] ,ddc:610 ,lcsh:Neurosciences. Biological psychiatry. Neuropsychiatry ,lcsh:Neurology. Diseases of the nervous system ,Aged ,Amyloid beta-Peptides ,Research ,Mild cognitive impairment ,amyloid beta-protein (1-40) ,Hippocampal volume ,Peptide Fragments ,pathology [Hippocampus] ,diagnosis [Cognitive Dysfunction] ,cerebrospinal fluid [tau Proteins] ,Tau ,Prediction ,Biomarkers ,Follow-Up Studies - Abstract
Background The progression of mild cognitive impairment (MCI) to Alzheimer’s disease (AD) dementia can be predicted by cognitive, neuroimaging, and cerebrospinal fluid (CSF) markers. Since most biomarkers reveal complementary information, a combination of biomarkers may increase the predictive power. We investigated which combination of the Mini-Mental State Examination (MMSE), Clinical Dementia Rating (CDR)-sum-of-boxes, the word list delayed free recall from the Consortium to Establish a Registry of Dementia (CERAD) test battery, hippocampal volume (HCV), amyloid-beta1–42 (Aβ42), amyloid-beta1–40 (Aβ40) levels, the ratio of Aβ42/Aβ40, phosphorylated tau, and total tau (t-Tau) levels in the CSF best predicted a short-term conversion from MCI to AD dementia. Methods We used 115 complete datasets from MCI patients of the “Dementia Competence Network”, a German multicenter cohort study with annual follow-up up to 3 years. MCI was broadly defined to include amnestic and nonamnestic syndromes. Variables known to predict progression in MCI patients were selected a priori. Nine individual predictors were compared by receiver operating characteristic (ROC) curve analysis. ROC curves of the five best two-, three-, and four-parameter combinations were analyzed for significant superiority by a bootstrapping wrapper around a support vector machine with linear kernel. The incremental value of combinations was tested for statistical significance by comparing the specificities of the different classifiers at a given sensitivity of 85%. Results Out of 115 subjects, 28 (24.3%) with MCI progressed to AD dementia within a mean follow-up period of 25.5 months. At baseline, MCI-AD patients were no different from stable MCI in age and gender distribution, but had lower educational attainment. All single biomarkers were significantly different between the two groups at baseline. ROC curves of the individual predictors gave areas under the curve (AUC) between 0.66 and 0.77, and all single predictors were statistically superior to Aβ40. The AUC of the two-parameter combinations ranged from 0.77 to 0.81. The three-parameter combinations ranged from AUC 0.80–0.83, and the four-parameter combination from AUC 0.81–0.82. None of the predictor combinations was significantly superior to the two best single predictors (HCV and t-Tau). When maximizing the AUC differences by fixing sensitivity at 85%, the two- to four-parameter combinations were superior to HCV alone. Conclusion A combination of two biomarkers of neurodegeneration (e.g., HCV and t-Tau) is not superior over the single parameters in identifying patients with MCI who are most likely to progress to AD dementia, although there is a gradual increase in the statistical measures across increasing biomarker combinations. This may have implications for clinical diagnosis and for selecting subjects for participation in clinical trials.
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- 2017
3. Das Kompetenznetz Demenzen.
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Peters, Oliver, Heuser, Isabella, Frölich, Lutz, Rüther, Eckart, Rienhoff, Otto, Kornhuber, Johannes, Wiltfang, Jens, and Maier, Wolfgang
- Abstract
Copyright of Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz is the property of Springer Nature and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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- 2016
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4. The Latent Dementia Phenotype δ is Associated with Cerebrospinal Fluid Biomarkers of Alzheimer's Disease and Predicts Conversion to Dementia in Subjects with Mild Cognitive Impairment.
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Koppara, Alexander, Wolfsgruber, Steffen, Kleineidam, Luca, Schmidtke, Klaus, Frölich, Lutz, Kurz, Alexander, Schulz, Stefanie, Hampel, Harald, Heuser, Isabella, Peters, Oliver, Reischies, Friedel M., Jahn, Holger, Luckhaus, Christian, Hüll, Michael, Gertz, Hermann-Josef, Schröder, Johannes, Pantel, Johannes, Rienhoff, Otto, Rütherg, Eckart, and Henn, Fritz
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DEMENTIA ,CEREBROSPINAL fluid ,BIOMARKERS ,ALZHEIMER'S disease ,MILD cognitive impairment ,PHENOTYPES ,GENETICS ,DIAGNOSIS of dementia ,COGNITION disorders ,LONGITUDINAL method ,NEUROPSYCHOLOGICAL tests ,NERVE tissue proteins ,PEPTIDES ,PSYCHOLOGICAL tests ,LOGISTIC regression analysis ,ACTIVITIES of daily living ,PREDICTIVE tests ,RETROSPECTIVE studies ,DISEASE progression ,PSYCHOLOGICAL factors ,PSYCHOLOGY - Abstract
Background: The recently proposed latent variable δ is a new tool for dementia case finding. It is built in a structural equation modeling framework of cognitive and functional data and constitutes a novel endophenotype for Alzheimer's disease (AD) research and clinical trials.Objective: To investigate the association of δ with AD biomarkers and to compare the prediction of δ with established scales for conversion to dementia in patients with mild cognitive impairment (MCI).Methods: Using data from a multicenter memory clinic study, we examined the external associations of the latent variable δ and compared δ with well-established cognitive and functional scales and cognitive-functional composite scores. For that purpose, logistic regressions with cerebrospinal fluid (CSF) biomarkers and conversion to dementia as dependent variables were performed with the investigated scores. The models were tested for significant differences.Results: In patients with MCI, δ based on a broad range of cognitive scales (including the ADAS-cog, the MMSE, and the CERAD neuropsychological battery) predicted an abnormal CSF Aβ42/tau ratio indicative of AD (n = 340, AUC = 0.78, p < 0.001), and predicted incident dementia within 1-3 years of follow-up (n = 525, AUC = 0.84, p < 0.001). These associations were generally stronger than for any other scale or cognitive-functional composite examined. Homologs of δ based on reduced test batteries yielded somewhat lower effects.Conclusion: These findings support the interpretation of δ as a construct capturing the disease-related "essence" of cognitive and functional impairments in patients with MCI and dementia, and suggest that δ might become an analytical tool for dementia research. [ABSTRACT FROM AUTHOR]- Published
- 2016
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5. Memory Concerns, Memory Performance and Risk of Dementia in Patients with Mild Cognitive Impairment.
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Wolfsgruber, Steffen, Wagner, Michael, Schmidtke, Klaus, Frölich, Lutz, Kurz, Alexander, Schulz, Stefanie, Hampel, Harald, Heuser, Isabella, Peters, Oliver, Reischies, Friedel M., Jahn, Holger, Luckhaus, Christian, Hüll, Michael, Gertz, Hermann-Josef, Schröder, Johannes, Pantel, Johannes, Rienhoff, Otto, Rüther, Eckart, Henn, Fritz, and Wiltfang, Jens
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DEMENTIA risk factors ,MILD cognitive impairment ,MEMORY disorders ,ALZHEIMER'S disease ,PROPORTIONAL hazards models ,NEUROPSYCHOLOGY ,MENTAL health ,PATIENTS - Abstract
Background: Concerns about worsening memory (“memory concerns”; MC) and impairment in memory performance are both predictors of Alzheimer's dementia (AD). The relationship of both in dementia prediction at the pre-dementia disease stage, however, is not well explored. Refined understanding of the contribution of both MC and memory performance in dementia prediction is crucial for defining at-risk populations. We examined the risk of incident AD by MC and memory performance in patients with mild cognitive impairment (MCI). Methods: We analyzed data of 417 MCI patients from a longitudinal multicenter observational study. Patients were classified based on presence (n = 305) vs. absence (n = 112) of MC. Risk of incident AD was estimated with Cox Proportional-Hazards regression models. Results: Risk of incident AD was increased by MC (HR = 2.55, 95%CI: 1.33–4.89), lower memory performance (HR = 0.63, 95%CI: 0.56–0.71) and ApoE4-genotype (HR = 1.89, 95%CI: 1.18–3.02). An interaction effect between MC and memory performance was observed. The predictive power of MC was greatest for patients with very mild memory impairment and decreased with increasing memory impairment. Conclusions: Our data suggest that the power of MC as a predictor of future dementia at the MCI stage varies with the patients' level of cognitive impairment. While MC are predictive at early stage MCI, their predictive value at more advanced stages of MCI is reduced. This suggests that loss of insight related to AD may occur at the late stage of MCI. [ABSTRACT FROM AUTHOR]
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- 2014
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6. APOE-Dependent Phenotypes in Subjects with Mild Cognitive Impairment Converting to Alzheimer's Disease.
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Morgen, Katrin, Frölich, Lutz, Tost, Heike, Plichta, Michael M., Kölsch, Heike, Rakebrandt, Fabian, Rienhoff, Otto, Jessen, Frank, Peters, Oliver, Jahn, Holger, Luckhaus, Christian, Hüll, Michael, Gertz, Hermann-Josef, Schröder, Johannes, Hampel, Harald, Teipel, Stefan J., Pantel, Johannes, Heuser, Isabella, Wiltfang, Jens, and Rüther, Eckart
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PHENOTYPES ,MILD cognitive impairment ,ALZHEIMER'S disease research ,MAGNETIC resonance imaging ,DEMENTIA - Abstract
Background: The E4 isoform of the APOE genotype is the most significant genetic risk factor for sporadic Alzheimer's disease (AD) and has recently been found to modulate disease expression in patients with AD. Objective: To investigate APOE-dependent cognitive and structural phenotypes in subjects with mild cognitive impairment who converted to AD within the following three years. Methods: Subjects converting to AD (n = 63) were compared to a control group with stable mild cognitive impairment (n = 131). Clinical, neuropsychological, and MRI data were obtained by the German Dementia Competence Network. Subgroups of converting and stable APOE E4 carriers and non-carriers were investigated longitudinally with MRI to examine structural correlates of conversion. Voxel-based morphometry was applied to investigate gray matter distribution. Results: At baseline, executive performance correlated with global and bilateral prefrontal gray matter volume and predicted conversion only among non-carriers. Converting carriers and non-carriers presented distinct patterns of brain atrophy on longitudinal analysis, in line with a dissociation between more pronounced occipital atrophy in carriers and more frontoparietal volume loss in non-carriers at follow-up. Conclusions: The current findings suggest that in APOE E4 non-carriers with AD, executive dysfunction is closely linked to frontal gray matter atrophy and predictive of progression to dementia. The results are consistent with APOE genotype-dependent profiles of structural damage and cognitive decline in patients with imminent conversion to AD. [ABSTRACT FROM AUTHOR]
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- 2013
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7. Early and Differential Diagnosis of Dementia and Mild Cognitive Impairment.
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Kornhuber, Johannes, Schmidtke, Klaus, Frölich, Lutz, Perneczky, Robert, Wolf, Stefanie, Hampel, Harald, Jessen, Frank, Heuser, Isabella, Peters, Oliver, Weih, Markus, Jahn, Holger, Luckhaus, Christian, Hüll, Michael, Gertz, Hermann-Josef, Schröder, Johannes, Pantel, Johannes, Rienhoff, Otto, Seuchter, Susanne A., Rüther, Eckart, and Henn, Fritz
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TREATMENT of dementia ,DISEASES in older people ,COGNITIVE ability ,ALZHEIMER'S disease ,DIAGNOSIS - Abstract
Background: The German Dementia Competence Network (DCN) has established procedures for standardized multicenter acquisition of clinical, biological and imaging data, for centralized data management, and for the evaluation of new treatments. Methods: A longitudinal cohort study was set up for patients with mild cognitive impairment (MCI), patients with mild dementia and control subjects. The aims were to establish the diagnostic, differential diagnostic and prognostic power of a range of clinical, laboratory and imaging methods. Furthermore, 2 clinical trials were conducted with patients suffering from MCI and mild to moderate Alzheimer’s Disease (AD). These trials aimed at evaluating the efficacy and safety of the combination of galantamine and memantine versus galantamine alone. Results: Here, we report on the scope and projects of the DCN, the methods that were employed, the composition and flow within the diverse groups of patients and control persons and on the clinical and neuropsychological baseline characteristics of the group of 2,113 subjects who participated in the observational and clinical trials. Conclusion: These data have an impact on the procedures for the early and differential clinical diagnosis of dementias, the current standard treatment of AD as well as on future clinical trials in AD. Copyright © 2009 S. Karger AG, Basel [ABSTRACT FROM AUTHOR]
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- 2009
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