86 research outputs found

    Levodopa-carbidopa intestinal gel in the treatment of patients with parkinson disease: Results of a 12-month open study

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    © 2017, Media Sphera. All rights reserved.Objective: To evaluate the long-term safety and efficacy of intrajejunal levodopa-carbidopa intestinal gel (LCIG) infusion in the treatment of patients with severe stages of Parkinson disease (PD) who did not respond adequately to treatment with oral drugs. Material and methods: A large-scale international prospective open-label 54-week study of LCIG in patients with PD with severe motor fluctuations was carried out. A total of 48 patients were enrolled in Russia, 46 patients (95.8%) had PEG-J inserted, and 43 of them completed the study. The safety, including adverse events (AEs), infusion system and pump failures analysis, number of patients completely terminated the study, and efficacy (duration of “off” periods, “on” periods with or without troublesome dyskinesias, UPDRS scores, Clinical Global Impression, Quality of Life (PDQ-39, EQ-5D Đž EQ-VAS) dynamics, an analysis of patient’s diaries) were assessed throughout the whole study. Results: The majority of AEs were mild or moderate with most AEs connected with infusion system application (28.3% patients) including procedure pain. Serious AEs were registered in 8 patients (16.7%). 3 patients (6.3%) discontinued their participation in the study due to AEs. Mean duration of “off” periods by the end of the study decreased by 5.35±2.59 hours (p<0.001), duration of “on” periods without troublesome dyskinesia increased by 5.74±3.91 hours (p<0.001), reduction of “on” periods duration with troublesome dyskinesia became statistically significant by week 36 (p=0.020). The statistically significant improvement of UPDRS (generally and in respect to sub-scales), Clinical Global Impression, and Quality of Life scores was observed throughout the study. Levodopa dose remained stable throughout the 54 treatment weeks. Forty-three patients (93.5%) received LCIG monotherapy throughout the whole study. Conclusion: LCIG intrajejunal infusion during 54 weeks showed the favorable safety profile, high tolerability, and efficacy in PD motor symptoms correction

    Arterial hypertension and ÎČ-amyloid accumulation have spatially overlapping effects on posterior white matter hyperintensity volume: a cross-sectional study

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    Background: White matter hyperintensities (WMH) in subjects across the Alzheimer’s disease (AD) spectrum with minimal vascular pathology suggests that amyloid pathology—not just arterial hypertension—impacts WMH, which in turn adversely influences cognition. Here we seek to determine the effect of both hypertension and AÎČ positivity on WMH, and their impact on cognition. Methods: We analysed data from subjects with a low vascular profile and normal cognition (NC), subjective cognitive decline (SCD), and amnestic mild cognitive impairment (MCI) enrolled in the ongoing observational multicentre DZNE Longitudinal Cognitive Impairment and Dementia Study (n = 375, median age 70.0 [IQR 66.0, 74.4] years; 178 female; NC/SCD/MCI 127/162/86). All subjects underwent a rich neuropsychological assessment. We focused on baseline memory and executive function—derived from multiple neuropsychological tests using confirmatory factor analysis—, baseline preclinical Alzheimer’s cognitive composite 5 (PACC5) scores, and changes in PACC5 scores over the course of three years (ΔPACC5). Results: Subjects with hypertension or AÎČ positivity presented the largest WMH volumes (pFDR < 0.05), with spatial overlap in the frontal (hypertension: 0.42 ± 0.17; AÎČ: 0.46 ± 0.18), occipital (hypertension: 0.50 ± 0.16; AÎČ: 0.50 ± 0.16), parietal lobes (hypertension: 0.57 ± 0.18; AÎČ: 0.56 ± 0.20), corona radiata (hypertension: 0.45 ± 0.17; AÎČ: 0.40 ± 0.13), optic radiation (hypertension: 0.39 ± 0.18; AÎČ: 0.74 ± 0.19), and splenium of the corpus callosum (hypertension: 0.36 ± 0.12; AÎČ: 0.28 ± 0.12). Elevated global and regional WMH volumes coincided with worse cognitive performance at baseline and over 3 years (pFDR < 0.05). AÎČ positivity was negatively associated with cognitive performance (direct effect—memory: − 0.33 ± 0.08, pFDR < 0.001; executive: − 0.21 ± 0.08, pFDR < 0.001; PACC5: − 0.29 ± 0.09, pFDR = 0.006; ΔPACC5: − 0.34 ± 0.04, pFDR < 0.05). Splenial WMH mediated the relationship between hypertension and cognitive performance (indirect-only effect—memory: − 0.05 ± 0.02, pFDR = 0.029; executive: − 0.04 ± 0.02, pFDR = 0.067; PACC5: − 0.05 ± 0.02, pFDR = 0.030; ΔPACC5: − 0.09 ± 0.03, pFDR = 0.043) and WMH in the optic radiation partially mediated that between AÎČ positivity and memory (indirect effect—memory: − 0.05 ± 0.02, pFDR = 0.029). Conclusions: Posterior white matter is susceptible to hypertension and AÎČ accumulation. Posterior WMH mediate the association between these pathologies and cognitive dysfunction, making them a promising target to tackle the downstream damage related to the potentially interacting and potentiating effects of the two pathologies. Trial registration: German Clinical Trials Register (DRKS00007966, 04/05/2015)

    Transcriptional Analysis of Blood Lymphocytes and Skin Fibroblasts, Keratinocytes, and Endothelial Cells as a Potential Biomarker for Alzheimer's Disease

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    © 2016 - IOS Press and the authors. All rights reserved.Alzheimer's disease (AD) is a devastating and progressive form of dementia that is typically associated with a build-up of amyloid-ÎČ plaques and hyperphosphorylated and misfolded tau protein in the brain. Presently, there is no single test that confirms AD; therefore, a definitive diagnosis is only made after a comprehensive medical evaluation, which includes medical history, cognitive tests, and a neurological examination and/or brain imaging. Additionally, the protracted prodromal phase of the disease makes selection of control subjects for clinical trials challenging. In this study we have utilized a gene-expression array to screen blood and skin punch biopsy (fibroblasts, keratinocytes, and endothelial cells) for transcriptional differences that may lead to a greater understanding of AD as well as identify potential biomarkers. Our analysis identified 129 differentially expressed genes from blood of dementia cases when compared to healthy individuals, and four differentially expressed punch biopsy genes between AD subjects and controls. Additionally, we identified a set of genes in both tissue compartments that showed transcriptional variation in AD but were largely stable in controls. The translational products of these variable genes are involved in the maintenance of the Golgi structure, regulation of lipid metabolism, DNA repair, and chromatin remodeling. Our analysis potentially identifies specific genes in both tissue compartments that may ultimately lead to useful biomarkers and may provide new insight into the pathophysiology of AD

    Resting-State Network Alterations Differ between Alzheimer's Disease Atrophy Subtypes

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    Several Alzheimer's disease (AD) atrophy subtypes were identified, but their brain network properties are unclear. We analyzed data from two independent datasets, including 166 participants (103 AD/63 controls) from the DZNE-longitudinal cognitive impairment and dementia study and 151 participants (121 AD/30 controls) from the AD neuroimaging initiative cohorts, aiming to identify differences between AD atrophy subtypes in resting-state functional magnetic resonance imaging intra-network connectivity (INC) and global and nodal network properties. Using a data-driven clustering approach, we identified four AD atrophy subtypes with differences in functional connectivity, accompanied by clinical and biomarker alterations, including a medio-temporal-predominant (S-MT), a limbic-predominant (S-L), a diffuse (S-D), and a mild-atrophy (S-MA) subtype. S-MT and S-D showed INC reduction in the default mode, dorsal attention, visual and limbic network, and a pronounced reduction of "global efficiency" and decrease of the "clustering coefficient" in parietal and temporal lobes. Despite severe atrophy in limbic areas, the S-L exhibited only marginal global network but substantial nodal network failure. S-MA, in contrast, showed limited impairment in clinical and cognitive scores but pronounced global network failure. Our results contribute toward a better understanding of heterogeneity in AD with the detection of distinct differences in functional connectivity networks accompanied by CSF biomarker and cognitive differences in AD subtypes

    A comprehensive score reflecting memory-related fMRI activations and deactivations as potential biomarker for neurocognitive aging

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    Older adults and particularly those at risk for developing dementia typically show a decline in episodic memory performance, which has been associated with altered memory network activity detectable via functional magnetic resonance imaging (fMRI). To quantify the degree of these alterations, a score has been developed as a putative imaging biomarker for successful aging in memory for older adults (Functional Activity Deviations during Encoding, FADE; DĂŒzel et al., Hippocampus, 2011; 21: 803–814). Here, we introduce and validate a more comprehensive version of the FADE score, termed FADE-SAME (Similarity of Activations during Memory Encoding), which differs from the original FADE score by considering not only activations but also deactivations in fMRI contrasts of stimulus novelty and successful encoding, and by taking into account the variance of young adults' activations. We computed both scores for novelty and subsequent memory contrasts in a cohort of 217 healthy adults, including 106 young and 111 older participants, as well as a replication cohort of 117 young subjects. We further tested the stability and generalizability of both scores by controlling for different MR scanners and gender, as well as by using different data sets of young adults as reference samples. Both scores showed robust agegroup-related differences for the subsequent memory contrast, and the FADE-SAME score additionally exhibited age-group-related differences for the novelty contrast. Furthermore, both scores correlate with behavioral measures of cognitive aging, namely memory performance. Taken together, our results suggest that single-value scores of memory-related fMRI responses may constitute promising biomarkers for quantifying neurocognitive aging

    ĐąĐ”Ń€Đ°ĐżĐžŃ ĐŸŃŃ‚Đ”ĐŸĐ°Ń€Ń‚Ń€ĐžŃ‚Đ° ĐșĐŸĐ»Đ”ĐœĐœŃ‹Ń… сустаĐČĐŸĐČ Ń Ń‚ĐŸŃ‡ĐșĐž Đ·Ń€Đ”ĐœĐžŃ ĐŽĐŸĐșĐ°Đ·Đ°Ń‚Đ”Đ»ŃŒĐœĐŸĐč ĐŒĐ”ĐŽĐžŃ†ĐžĐœŃ‹: ĐŸĐ¶ĐžĐŽĐ°Đ”ĐŒŃ‹Đ” ĐșратĐșĐŸŃŃ€ĐŸŃ‡ĐœŃ‹Đ”, ŃŃ€Đ”ĐŽĐœĐ”ŃŃ€ĐŸŃ‡ĐœŃ‹Đ” Đž ĐŽĐŸĐ»ĐłĐŸŃŃ€ĐŸŃ‡ĐœŃ‹Đ” Ń€Đ”Đ·ŃƒĐ»ŃŒŃ‚Đ°Ń‚Ń‹ ĐżŃ€ĐžĐŒĐ”ĐœĐ”ĐœĐžŃ Ń€Đ”Ń†Đ”ĐżŃ‚ŃƒŃ€ĐœĐŸĐłĐŸ ĐșрОсталлОчДсĐșĐŸĐłĐŸ глюĐșĐŸĐ·Đ°ĐŒĐžĐœĐ° ŃŃƒĐ»ŃŒŃ„Đ°Ń‚Đ°

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    The need for effective drugs for the treatment of knee osteoarthritis (OA) is constantly growing. Current guidelines recommend the use of symptomatic slow acting drugs for osteoarthritis (SYSADOA) such as glucosamine (GCA) in this disease. Among various drugs containing GCA, high bioavailability and clinical efficacy have been shown only for prescription crystalline GCA sulfate (pGCAS) administration. Several meta-analyses and network meta-analyses have shown that efficacy of pGCAS 1500 mg once daily is superior to other GCA-based products (such as GCA hydrochloride with or without sodium sulfate) and the combination of GCA with chondroitin sulfate (CS) in terms of reducing the intensity of pain and improving the functional state. These studies confirmed the favorable safety profile of pGCAS, which was comparable to placebo in the incidence of adverse events. Pharmacoeconomic studies have also demonstrated greater cost-effectiveness of pGCAS compared to other GCA drugs.A group of Russian experts at a meeting of the advisory committee reviewed the evidence in favor of the use of pGCAS and evidence of its effectiveness in the treatment of knee OA in comparison with other products that include GCA, and the fixed combination of GCA with CS. Taking into account the results obtained, the use of pGCAS at a dose of 1500 mg once a day is recommended as a rational choice for the treatment of knee OA.ĐŸĐŸŃ‚Ń€Đ”Đ±ĐœĐŸŃŃ‚ŃŒ ĐČ ŃŃ„Ń„Đ”ĐșтоĐČĐœŃ‹Ń… прДпаратах ĐŽĐ»Ń тДрапОО ĐŸŃŃ‚Đ”ĐŸĐ°Ń€Ń‚Ń€ĐžŃ‚Đ° (ОА) ĐșĐŸĐ»Đ”ĐœĐœŃ‹Ń… сустаĐČĐŸĐČ (КС) ĐżĐŸŃŃ‚ĐŸŃĐœĐœĐŸ растаДт. В ŃĐŸĐČŃ€Đ”ĐŒĐ”ĐœĐœŃ‹Ń… руĐșĐŸĐČĐŸĐŽŃŃ‚ĐČах рДĐșĐŸĐŒĐ”ĐœĐŽŃƒĐ”Ń‚ŃŃ ĐżŃ€ĐžĐŒĐ”ĐœŃŃ‚ŃŒ про ŃŃ‚ĐŸĐŒ Đ·Đ°Đ±ĐŸĐ»Đ”ĐČĐ°ĐœĐžĐž ŃĐžĐŒĐżŃ‚ĐŸĐŒĐ°Ń‚ĐžŃ‡Đ”ŃĐșОД срДЎстĐČĐ° Đ·Đ°ĐŒĐ”ĐŽĐ»Đ”ĐœĐœĐŸĐłĐŸ ĐŽĐ”ĐčстĐČоя (SYSADOA), таĐșОД ĐșĐ°Đș глюĐșĐŸĐ·Đ°ĐŒĐžĐœ (ГКА). ХрДЎО Ń€Đ°Đ·Đ»ĐžŃ‡ĐœŃ‹Ń… лДĐșарстĐČĐ”ĐœĐœŃ‹Ń… срДЎстĐČ, ŃĐŸĐŽĐ”Ń€Đ¶Đ°Ń‰ĐžŃ… ГКА, ĐČŃ‹ŃĐŸĐșая Đ±ĐžĐŸĐŽĐŸŃŃ‚ŃƒĐżĐœĐŸŃŃ‚ŃŒ Đž ĐșĐ»ĐžĐœĐžŃ‡Đ”ŃĐșая ŃŃ„Ń„Đ”ĐșтоĐČĐœĐŸŃŃ‚ŃŒ ĐŽĐŸĐșĐ°Đ·Đ°ĐœŃ‹ Ń‚ĐŸĐ»ŃŒĐșĐŸ ĐŽĐ»Ń Ń€Đ”Ń†Đ”ĐżŃ‚ŃƒŃ€ĐœĐŸĐłĐŸ ĐșрОсталлОчДсĐșĐŸĐłĐŸ ГКА ŃŃƒĐ»ŃŒŃ„Đ°Ń‚Đ° (рГКАС). В ĐœĐ”ŃĐșĐŸĐ»ŃŒĐșох ĐŒĐ”Ń‚Đ°Đ°ĐœĐ°Đ»ĐžĐ·Đ°Ń… Đž сДтДĐČых ĐŒĐ”Ń‚Đ°Đ°ĐœĐ°Đ»ĐžĐ·Đ°Ń… Đ±Ń‹Đ»ĐŸ ĐżĐŸĐșĐ°Đ·Đ°ĐœĐŸ, Ń‡Ń‚ĐŸ рГКАС ĐČ ĐŽĐŸĐ·Đ” 1500 ĐŒĐł 1 раз ĐČ ŃŃƒŃ‚ĐșĐž прДĐČĐŸŃŃ…ĐŸĐŽĐžŃ‚ ĐżĐŸ ŃŃ„Ń„Đ”ĐșтоĐČĐœĐŸŃŃ‚Đž ĐŽŃ€ŃƒĐłĐžĐ” ĐżŃ€ĐŸĐŽŃƒĐșты ĐœĐ° ĐŸŃĐœĐŸĐČĐ” ГКА (таĐșОД ĐșĐ°Đș ГКА ĐłĐžĐŽŃ€ĐŸŃ…Đ»ĐŸŃ€ĐžĐŽ с ĐœĐ°Ń‚Ń€ĐžŃ ŃŃƒĐ»ŃŒŃ„Đ°Ń‚ĐŸĐŒ ОлО бДз ĐœĐ”ĐłĐŸ) Đž ĐșĐŸĐŒĐ±ĐžĐœĐ°Ń†ĐžĐž ГКА с Ń…ĐŸĐœĐŽŃ€ĐŸĐžŃ‚ĐžĐœĐ° ŃŃƒĐ»ŃŒŃ„Đ°Ń‚ĐŸĐŒ (Đ„ĐĄ) с Ń‚ĐŸŃ‡ĐșĐž Đ·Ń€Đ”ĐœĐžŃ ŃĐœĐžĐ¶Đ”ĐœĐžŃ ĐžĐœŃ‚Đ”ĐœŃĐžĐČĐœĐŸŃŃ‚Đž Đ±ĐŸĐ»Đž Đž ŃƒĐ»ŃƒŃ‡ŃˆĐ”ĐœĐžŃ Ń„ŃƒĐœĐșŃ†ĐžĐŸĐœĐ°Đ»ŃŒĐœĐŸĐłĐŸ ŃĐŸŃŃ‚ĐŸŃĐœĐžŃ. В этох ĐžŃŃĐ»Đ”ĐŽĐŸĐČĐ°ĐœĐžŃŃ… был ĐżĐŸĐŽŃ‚ĐČĐ”Ń€Đ¶ĐŽĐ”Đœ Đ±Đ»Đ°ĐłĐŸĐżŃ€ĐžŃŃ‚ĐœŃ‹Đč ĐżŃ€ĐŸŃ„ĐžĐ»ŃŒ Đ±Đ”Đ·ĐŸĐżĐ°ŃĐœĐŸŃŃ‚Đž рГКАС, ĐșĐŸŃ‚ĐŸŃ€Ń‹Đč ĐżĐŸ Ń‡Đ°ŃŃ‚ĐŸŃ‚Đ” разĐČотоя ĐœĐ”Đ¶Đ”Đ»Đ°Ń‚Đ”Đ»ŃŒĐœŃ‹Ń… яĐČĐ»Đ”ĐœĐžĐč был ŃĐŸĐżĐŸŃŃ‚Đ°ĐČĐžĐŒ с ĐżĐ»Đ°Ń†Đ”Đ±ĐŸ. Đ€Đ°Ń€ĐŒĐ°ĐșĐŸŃĐșĐŸĐœĐŸĐŒĐžŃ‡Đ”ŃĐșОД ĐžŃŃĐ»Đ”ĐŽĐŸĐČĐ°ĐœĐžŃ таĐșжД ĐżŃ€ĐŸĐŽĐ”ĐŒĐŸĐœŃŃ‚Ń€ĐžŃ€ĐŸĐČалО Đ±ĐŸĐ»ŃŒŃˆŃƒŃŽ эĐșĐŸĐœĐŸĐŒĐžŃ‡Đ”ŃĐșую ŃŃ„Ń„Đ”ĐșтоĐČĐœĐŸŃŃ‚ŃŒ рГКАС ĐżĐŸ сраĐČĐœĐ”ĐœĐžŃŽ с ĐŽŃ€ŃƒĐłĐžĐŒĐž лДĐșарстĐČĐ”ĐœĐœŃ‹ĐŒĐž срДЎстĐČĐ°ĐŒĐž ГКА.Группа Ń€ĐŸŃŃĐžĐčсĐșох эĐșŃĐżĐ”Ń€Ń‚ĐŸĐČ ĐœĐ° ŃĐŸĐČĐ”Ń‰Đ°ĐœĐžĐž ĐșĐŸĐœŃŃƒĐ»ŃŒŃ‚Đ°Ń‚ĐžĐČĐœĐŸĐłĐŸ ĐșĐŸĐŒĐžŃ‚Đ”Ń‚Đ° Ń€Đ°ŃŃĐŒĐŸŃ‚Ń€Đ”Đ»Đ° сĐČĐžĐŽĐ”Ń‚Đ”Đ»ŃŒŃŃ‚ĐČĐ° ĐČ ĐżĐŸĐ»ŃŒĐ·Ńƒ ĐżŃ€ĐžĐŒĐ”ĐœĐ”ĐœĐžŃ рГКАС Đž ĐŽĐŸĐșĐ°Đ·Đ°Ń‚Đ”Đ»ŃŒŃŃ‚ĐČĐ° Đ”ĐłĐŸ ŃŃ„Ń„Đ”ĐșтоĐČĐœĐŸŃŃ‚Đž про Đ»Đ”Ń‡Đ”ĐœĐžĐž ОА КС ĐČ ŃŃ€Đ°ĐČĐœĐ”ĐœĐžĐž с ĐŽŃ€ŃƒĐłĐžĐŒĐž ĐżŃ€ĐŸĐŽŃƒĐșŃ‚Đ°ĐŒĐž, ĐČ ŃĐŸŃŃ‚Đ°ĐČ ĐșĐŸŃ‚ĐŸŃ€Ń‹Ń… ĐČŃ…ĐŸĐŽĐžŃ‚ ГКА, Đž фоĐșŃĐžŃ€ĐŸĐČĐ°ĐœĐœĐŸĐč ĐșĐŸĐŒĐ±ĐžĐœĐ°Ń†ĐžĐž ГКА с Đ„ĐĄ. ĐĄ ŃƒŃ‡Đ”Ń‚ĐŸĐŒ ĐżĐŸĐ»ŃƒŃ‡Đ”ĐœĐœŃ‹Ń… Ń€Đ”Đ·ŃƒĐ»ŃŒŃ‚Đ°Ń‚ĐŸĐČ ĐžŃĐżĐŸĐ»ŃŒĐ·ĐŸĐČĐ°ĐœĐžĐ” рГКАС ĐČ ĐŽĐŸĐ·Đ” 1500 ĐŒĐł 1 раз ĐČ ŃŃƒŃ‚ĐșĐž рДĐșĐŸĐŒĐ”ĐœĐŽĐŸĐČĐ°ĐœĐŸ ĐČ ĐșачДстĐČĐ” Ń€Đ°Ń†ĐžĐŸĐœĐ°Đ»ŃŒĐœĐŸĐłĐŸ ĐČŃ‹Đ±ĐŸŃ€Đ° ĐŽĐ»Ń Đ»Đ”Ń‡Đ”ĐœĐžŃ ОА КС

    Arterial hypertension and ÎČ-amyloid accumulation have spatially overlapping effects on posterior white matter hyperintensity volume: a cross-sectional study

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    Background White matter hyperintensities (WMH) in subjects across the Alzheimer’s disease (AD) spectrum with minimal vascular pathology suggests that amyloid pathology—not just arterial hypertension—impacts WMH, which in turn adversely influences cognition. Here we seek to determine the effect of both hypertension and AÎČ positivity on WMH, and their impact on cognition. Methods We analysed data from subjects with a low vascular profile and normal cognition (NC), subjective cognitive decline (SCD), and amnestic mild cognitive impairment (MCI) enrolled in the ongoing observational multicentre DZNE Longitudinal Cognitive Impairment and Dementia Study (n = 375, median age 70.0 [IQR 66.0, 74.4] years; 178 female; NC/SCD/MCI 127/162/86). All subjects underwent a rich neuropsychological assessment. We focused on baseline memory and executive function—derived from multiple neuropsychological tests using confirmatory factor analysis—, baseline preclinical Alzheimer’s cognitive composite 5 (PACC5) scores, and changes in PACC5 scores over the course of three years (ΔPACC5). Results Subjects with hypertension or AÎČ positivity presented the largest WMH volumes (pFDR < 0.05), with spatial overlap in the frontal (hypertension: 0.42 ± 0.17; AÎČ: 0.46 ± 0.18), occipital (hypertension: 0.50 ± 0.16; AÎČ: 0.50 ± 0.16), parietal lobes (hypertension: 0.57 ± 0.18; AÎČ: 0.56 ± 0.20), corona radiata (hypertension: 0.45 ± 0.17; AÎČ: 0.40 ± 0.13), optic radiation (hypertension: 0.39 ± 0.18; AÎČ: 0.74 ± 0.19), and splenium of the corpus callosum (hypertension: 0.36 ± 0.12; AÎČ: 0.28 ± 0.12). Elevated global and regional WMH volumes coincided with worse cognitive performance at baseline and over 3 years (pFDR < 0.05). AÎČ positivity was negatively associated with cognitive performance (direct effect—memory: − 0.33 ± 0.08, pFDR < 0.001; executive: − 0.21 ± 0.08, pFDR < 0.001; PACC5: − 0.29 ± 0.09, pFDR = 0.006; ΔPACC5: − 0.34 ± 0.04, pFDR < 0.05). Splenial WMH mediated the relationship between hypertension and cognitive performance (indirect-only effect—memory: − 0.05 ± 0.02, pFDR = 0.029; executive: − 0.04 ± 0.02, pFDR = 0.067; PACC5: − 0.05 ± 0.02, pFDR = 0.030; ΔPACC5: − 0.09 ± 0.03, pFDR = 0.043) and WMH in the optic radiation partially mediated that between AÎČ positivity and memory (indirect effect—memory: − 0.05 ± 0.02, pFDR = 0.029). Conclusions Posterior white matter is susceptible to hypertension and AÎČ accumulation. Posterior WMH mediate the association between these pathologies and cognitive dysfunction, making them a promising target to tackle the downstream damage related to the potentially interacting and potentiating effects of the two pathologies. Trial registration German Clinical Trials Register (DRKS00007966, 04/05/2015)

    Why Are Outcomes Different for Registry Patients Enrolled Prospectively and Retrospectively? Insights from the Global Anticoagulant Registry in the FIELD-Atrial Fibrillation (GARFIELD-AF).

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    Background: Retrospective and prospective observational studies are designed to reflect real-world evidence on clinical practice, but can yield conflicting results. The GARFIELD-AF Registry includes both methods of enrolment and allows analysis of differences in patient characteristics and outcomes that may result. Methods and Results: Patients with atrial fibrillation (AF) and ≄1 risk factor for stroke at diagnosis of AF were recruited either retrospectively (n = 5069) or prospectively (n = 5501) from 19 countries and then followed prospectively. The retrospectively enrolled cohort comprised patients with established AF (for a least 6, and up to 24 months before enrolment), who were identified retrospectively (and baseline and partial follow-up data were collected from the emedical records) and then followed prospectively between 0-18 months (such that the total time of follow-up was 24 months; data collection Dec-2009 and Oct-2010). In the prospectively enrolled cohort, patients with newly diagnosed AF (≀6 weeks after diagnosis) were recruited between Mar-2010 and Oct-2011 and were followed for 24 months after enrolment. Differences between the cohorts were observed in clinical characteristics, including type of AF, stroke prevention strategies, and event rates. More patients in the retrospectively identified cohort received vitamin K antagonists (62.1% vs. 53.2%) and fewer received non-vitamin K oral anticoagulants (1.8% vs . 4.2%). All-cause mortality rates per 100 person-years during the prospective follow-up (starting the first study visit up to 1 year) were significantly lower in the retrospective than prospectively identified cohort (3.04 [95% CI 2.51 to 3.67] vs . 4.05 [95% CI 3.53 to 4.63]; p = 0.016). Conclusions: Interpretations of data from registries that aim to evaluate the characteristics and outcomes of patients with AF must take account of differences in registry design and the impact of recall bias and survivorship bias that is incurred with retrospective enrolment. Clinical Trial Registration: - URL: http://www.clinicaltrials.gov . Unique identifier for GARFIELD-AF (NCT01090362)

    Improved risk stratification of patients with atrial fibrillation: an integrated GARFIELD-AF tool for the prediction of mortality, stroke and bleed in patients with and without anticoagulation.

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    OBJECTIVES: To provide an accurate, web-based tool for stratifying patients with atrial fibrillation to facilitate decisions on the potential benefits/risks of anticoagulation, based on mortality, stroke and bleeding risks. DESIGN: The new tool was developed, using stepwise regression, for all and then applied to lower risk patients. C-statistics were compared with CHA2DS2-VASc using 30-fold cross-validation to control for overfitting. External validation was undertaken in an independent dataset, Outcome Registry for Better Informed Treatment of Atrial Fibrillation (ORBIT-AF). PARTICIPANTS: Data from 39 898 patients enrolled in the prospective GARFIELD-AF registry provided the basis for deriving and validating an integrated risk tool to predict stroke risk, mortality and bleeding risk. RESULTS: The discriminatory value of the GARFIELD-AF risk model was superior to CHA2DS2-VASc for patients with or without anticoagulation. C-statistics (95% CI) for all-cause mortality, ischaemic stroke/systemic embolism and haemorrhagic stroke/major bleeding (treated patients) were: 0.77 (0.76 to 0.78), 0.69 (0.67 to 0.71) and 0.66 (0.62 to 0.69), respectively, for the GARFIELD-AF risk models, and 0.66 (0.64-0.67), 0.64 (0.61-0.66) and 0.64 (0.61-0.68), respectively, for CHA2DS2-VASc (or HAS-BLED for bleeding). In very low to low risk patients (CHA2DS2-VASc 0 or 1 (men) and 1 or 2 (women)), the CHA2DS2-VASc and HAS-BLED (for bleeding) scores offered weak discriminatory value for mortality, stroke/systemic embolism and major bleeding. C-statistics for the GARFIELD-AF risk tool were 0.69 (0.64 to 0.75), 0.65 (0.56 to 0.73) and 0.60 (0.47 to 0.73) for each end point, respectively, versus 0.50 (0.45 to 0.55), 0.59 (0.50 to 0.67) and 0.55 (0.53 to 0.56) for CHA2DS2-VASc (or HAS-BLED for bleeding). Upon validation in the ORBIT-AF population, C-statistics showed that the GARFIELD-AF risk tool was effective for predicting 1-year all-cause mortality using the full and simplified model for all-cause mortality: C-statistics 0.75 (0.73 to 0.77) and 0.75 (0.73 to 0.77), respectively, and for predicting for any stroke or systemic embolism over 1 year, C-statistics 0.68 (0.62 to 0.74). CONCLUSIONS: Performance of the GARFIELD-AF risk tool was superior to CHA2DS2-VASc in predicting stroke and mortality and superior to HAS-BLED for bleeding, overall and in lower risk patients. The GARFIELD-AF tool has the potential for incorporation in routine electronic systems, and for the first time, permits simultaneous evaluation of ischaemic stroke, mortality and bleeding risks. CLINICAL TRIAL REGISTRATION: URL: http://www.clinicaltrials.gov. Unique identifier for GARFIELD-AF (NCT01090362) and for ORBIT-AF (NCT01165710)
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