A comparison between early presentation of dementia with Lewy Bodies, Alzheimer's disease and Parkinson's disease: evidence from routine primary care and UK Biobank data

OBJECTIVE: To simultaneously contrast prediagnostic clinical characteristics of individuals with a final diagnosis of dementia with Lewy Bodies, Parkinson's disease, Alzheimer's disease compared to controls without neurodegenerative disorders. METHODS: Using the longitudinal THIN database in the UK, we tested the association of each neurodegenerative disorder with a selected list of symptoms and broad families of treatments, and compared the associations between disorders to detect disease-specific effects. We replicated the main findings in the UK Biobank. RESULTS: We used data of 28,222 patients with PD, 20,214 with AD, 4,682 with DLB and 20,214 controls. All neurodegenerative disorders were significantly associated with the presence of multiple clinical characteristics before their diagnosis including sleep disorders, falls, psychiatric symptoms and autonomic dysfunctions. When comparing DLB patients with patients with PD and AD patients, falls, psychiatric symptoms and autonomic dysfunction were all more strongly associated with DLB in the five years preceding the first neurodegenerative diagnosis. The use of statins was lower in patients who developed PD and higher in patients who developed DLB compared to AD. In PD patients, the use of statins was associated with the development of dementia in the five years following PD diagnosis. INTERPRETATION: Prediagnostic presentations of falls, psychiatric symptoms and autonomic dysfunctions were more strongly associated with DLB than PD and AD. This study also suggests that whilst several associations with medications are similar in neurodegenerative disorders, statin usage is negatively associated with Parkinson's Disease but positively with DLB and AD as well as development of dementia in PD

Error Assessment on myocardial fiber orientations from DTI measurements

International audienceno abstrac

Morphometry of anatomical shape complexes with dense deformations and sparse parameters

International audienceWe propose a generic method for the statistical analysis of collections of anatomical shape complexes, namely sets of surfaces that were previously segmented and labeled in a group of subjects. The method estimates an anatomical model, the template complex, that is representative of the population under study. Its shape reflects anatomical invariants within the dataset. In addition, the method automatically places control points near the most variable parts of the template complex. Vectors attached to these points are parameters of deformations of the ambient 3D space. These deformations warp the template to each subject's complex in a way that preserves the organization of the anatomical structures. Multivariate statistical analysis is applied to these deformation parameters to test for group differences (...

Third generation disease models: Image analysis tools, pediatric heart diseases, inflammatory diseases and brain tumors

Welcome to the Health-e-Child deliverable D11.4. Following the web-based format initiated for previous deliverables of WP11, this public deliverable is giving the last update on the state of our disease models from a high level point of view. These web-pages update and replace the ones of deliverable D11.3. The document is organised in 5 parts: the first three parts corresponding to the current status of each task of the work-package, organised by disease. Then, two part describe the more generic image registration and shape analysis tools developped in the project

A Comparison Between Early Presentation of Dementia with Lewy Bodies, Alzheimer's Disease, and Parkinson's Disease: Evidence from Routine Primary Care and UK Biobank Data

International audienceObjective The purpose of this study was to simultaneously contrast prediagnostic clinical characteristics of individuals with a final diagnosis of dementia with Lewy Bodies (DLB), Parkinson's disease (PD), and Alzheimer's disease (AD) compared with controls without neurodegenerative disorders. Methods Using the longitudinal THIN database in the United Kingdom, we tested the association of each neurodegenerative disorder with a selected list of symptoms and broad families of treatments, and compared the associations between disorders to detect disease‐specific effects. We replicated the main findings in the UK Biobank. Results We used data of 28,222 patients with PD, 20,214 with AD, 4,682 with DLB, and 20,214 healthy controls. All neurodegenerative disorders were significantly associated with the presence of multiple clinical characteristics before their diagnosis, including sleep disorders, falls, psychiatric symptoms, and autonomic dysfunctions. When comparing patients with DLB with patients with PD and patients with AD patients, falls, psychiatric symptoms, and autonomic dysfunction were all more strongly associated with DLB in the 5 years preceding the first neurodegenerative diagnosis. The use of statins was lower in patients who developed PD and higher in patients who developed DLB compared to patients with AD. In patients with PD, the use of statins was associated with the development of dementia in the 5 years following PD diagnosis. Interpretation Prediagnostic presentations of falls, psychiatric symptoms, and autonomic dysfunctions were more strongly associated with DLB than PD and AD. This study also suggests that although several associations with medications are similar in neurodegenerative disorders, statin usage is negatively associated with PD but positively with DLB and AD as well as development of dementia in PD

Feasibility and Safety of Transcatheter Aortic Valve Implantation Performed Without Intensive Care Unit Admission

International audienceAdmission to the intensive care unit (ICU) is a standard of care after transcatheter aortic valve implantation (TAVI); however, the improvement of the procedure and the need to minimize the unnecessary use of medical resources call into question this strategy. We evaluated prospectively 177 consecutive patients who underwent TAVI. Low-risk patients, admitted to conventional cardiology units, had stable clinical state, transfemoral access, no right bundle branch block, permanent pacing with a self-expandable valve, and no complication occurring during the procedure. High-risk patients included all the others transferred to ICU. In-hospital events were the primary end point (Valve Academic Research Consortium 2 criteria). The mean age of patients was 83.5 ± 6.5 years, and the mean logistic EuroSCORE was 14.6 ± 9.7%. The balloon-expandable SAPIEN 3 valve was mainly used (n = 148; 83.6%), mostly with transfemoral access (n = 167; 94.4%). Among the 61 patients (34.5%) included in the low-risk group, only 1 (1.6%) had a minor complication (negative predictive value 98.4%, 95% confidence interval [CI] 0.91 to 0.99). Conversely, 31 patients (26.7%) from the high-risk group had clinical events (positive predictive value 26.7%, 95% CI 0.19 to 0.35), mainly conductive disorders requiring pacemaker (n = 26; 14.7%). In multivariate analysis, right bundle branch block (odds ratio [OR] 14.1, 95% CI 3.5 to 56.3), use of the self-expandable valve without a pacemaker (OR 5.5, 95% CI 2 to 16.3), vitamin K antagonist treatment (OR 3.8, 95% CI 1.1 to 12.6), and female gender (OR 2.6, 95% CI 1.003 to 6.9) were preprocedural predictive factors of adverse events. In conclusion, our results suggested that TAVI can be performed safely without ICU admission in selected patients. This strategy may optimize efficiency and cost-effectiveness of procedures

Temporal diffeomorphic free-form deformation: application to motion and strain estimation from 3D echocardiography

This paper presents a new registration algorithm, called Temporal Di eomorphic Free Form Deformation (TDFFD), and its application to motion and strain quanti cation from a sequence of 3D ultrasound (US) images. The originality of our approach resides in enforcing time consistency by representing the 4D velocity eld as the sum of continuous spatiotemporal B-Spline kernels. The spatiotemporal displacement eld is then recovered through forward Eulerian integration of the non-stationary velocity eld. The strain tensor is/ncomputed locally using the spatial derivatives of the reconstructed displacement eld. The energy functional considered in this paper weighs two terms: the image similarity and a regularization term. The image similarity metric is the sum of squared di erences between the intensities of each frame and a reference one. Any frame in the sequence can be chosen as reference. The regularization term is based on the/nincompressibility of myocardial tissue. TDFFD was compared to pairwise 3D FFD and 3D+t FFD, both/non displacement and velocity elds, on a set of synthetic 3D US images with di erent noise levels. TDFFD/nshowed increased robustness to noise compared to these two state-of-the-art algorithms. TDFFD also proved to be more resistant to a reduced temporal resolution when decimating this synthetic sequence. Finally, this synthetic dataset was used to determine optimal settings of the TDFFD algorithm. Subsequently, TDFFD/nwas applied to a database of cardiac 3D US images of the left ventricle acquired from 9 healthy volunteers and 13 patients treated by Cardiac Resynchronization Therapy (CRT). On healthy cases, uniform strain patterns were observed over all myocardial segments, as physiologically expected. On all CRT patients, the/nimprovement in synchrony of regional longitudinal strain correlated with CRT clinical outcome as quanti ed by the reduction of end-systolic left ventricular volume at follow-up (6 and 12 months), showing the potential of the proposed algorithm for the assessment of CRT.This research has been partially funded by the Spanish Industrial and Technological Development Center (CDTI) under the CENIT Programme (cvREMOD Project), the Spanish Ministry of Science and Innovation (MICINN) and the European Regional Development Fund (ERDF) through the research project STIMATH (TIN2009-14536-C02-01), and the European Community’s Seventh Framework Program (FP7/2007-2013) under the euHeart project (FP7-ICT-2007-2-224495)

Revolution of Alzheimer Precision Neurology. Passageway of Systems Biology and Neurophysiology

The Precision Neurology development process implements systems theory with system biology and neurophysiology in a parallel, bidirectional research path: a combined hypothesis-driven investigation of systems dysfunction within distinct molecular, cellular and large-scale neural network systems in both animal models as well as through tests for the usefulness of these candidate dynamic systems biomarkers in different diseases and subgroups at different stages of pathophysiological progression. This translational research path is paralleled by an “omics”-based, hypothesis-free, exploratory research pathway, which will collect multimodal data from progressing asymptomatic, preclinical and clinical neurodegenerative disease (ND) populations, within the wide continuous biological and clinical spectrum of ND, applying high-throughput and high-content technologies combined with powerful computational and statistical modeling tools, aimed at identifying novel dysfunctional systems and predictive marker signatures associated with ND. The goals are to identify common biological denominators or differentiating classifiers across the continuum of ND during detectable stages of pathophysiological progression, characterize systems-based intermediate endophenotypes, validate multi-modal novel diagnostic systems biomarkers, and advance clinical intervention trial designs by utilizing systems-based intermediate endophenotypes and candidate surrogate markers. Achieving these goals is key to the ultimate development of early and effective individualized treatment of ND, such as Alzheimer’s disease (AD). The Alzheimer Precision Medicine Initiative (APMI) and cohort program (APMI-CP), as well as the Paris based core of the Sorbonne University Clinical Research Group “Alzheimer Precision Medicine” (GRC-APM) were recently launched to facilitate the passageway from conventional clinical diagnostic and drug development towards breakthrough innovation based on the investigation of the comprehensive biological nature of aging individuals. The APMI movement is gaining momentum to systematically apply both systems neurophysiology and systems biology in exploratory translational neuroscience research on ND