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1,986 results for “valve”
Identification of altered salivary microRNAs in Cavalier King Charles Spaniels affected by mitral valve disease at different ACVIM stages
GEO Series GSE307507. Canis lupus familiaris. 25 samples. Type: Non-coding RNA profiling by high throughput sequencing.
mTOR signal in mitral valve diseases
GEO Series GSE293926. Mus musculus. 2 samples. Type: Expression profiling by high throughput sequencing.
Dataset related to the article "Predictive Value of Pre‐Operative 2D and 3D Transthoracic Echocardiography in Patients Undergoing Mitral Valve Repair: Long Term Follow Up of Mitral Valve Regurgitation Recurrence and Heart Chamber Remodeling"
<p>This record contains raw data related to the article "Predictive Value of Pre‐Operative 2D and 3D Transthoracic Echocardiography in Patients Undergoing Mitral Valve Repair: Long Term Follow Up of Mitral Valve Regurgitation Recurrence and Heart Chamber Remodeling"</p> <p><strong>Abstract</strong>: The “ideal” management of asymptomatic severe mitral regurgitation (MR) in valve<br> prolapse (MVP) is still debated. The aims of this study were to identify pre‐operatory parameters<br> predictive of residual MR and of early and long‐term favorable remodeling after MVP repair. We<br> included 295 patients who underwent MV repair for MVP with pre‐operatory two‐ and threedimensional<br> transthoracic echocardiography (2DTTE and 3DTTE) and 6‐months (6M) and 3‐years<br> (3Y) follow‐up 2DTTE. MVP was classified by 3DTTE as simple or complex and surgical procedures<br> as simple or complex. Pre‐operative echo parameters were compared to post‐operative values at 6M<br> and 3Y. Patients were divided into Group 1 (6M‐MR < 2) and Group 2 (6M‐MR ≥ 2), and predictors<br> of MR 2 were investigated. MVP was simple in 178/295 pts, and 94% underwent simple<br> procedures, while in only 42/117 (36%) of complex MVP a simple procedure was performed. A<br> significant relation among prolapse anatomy, surgical procedures and residual MR was found. Postoperative<br> MR ≥ 2 was present in 9.8%: complex MVP undergoing complex procedures had twice the<br> percentage of MR ≥ 2 vs. simple MVP and simple procedures. MVP complexity resulted<br> independent predictor of 6M‐MR ≥ 2. Favorable cardiac remodeling, initially found in all cases, was<br> maintained only in MR < 2 at 3Y. Pre‐operative 3DTTE MVP morphology identifies pts undergoing<br> simple or complex procedures predicting MR recurrence and favorable cardiac remodeling.</p>
Machine Learning Prediction Models for Mitral Valve Repairability and Mitral Regurgitation Recurrence in Patients Undergoing Surgical Mitral Valve Repair
<p>This record contains raw data related to the article "Machine Learning Prediction Models for Mitral Valve Repairability and Mitral Regurgitation Recurrence in Patients Undergoing Surgical Mitral Valve Repair"</p> <p>Abstract: Background: Mitral valve regurgitation (MR) is the most common valvular heart disease and current variables associated with MR recurrence are still controversial. We aim to develop a machine learning-based prognostic model to predict causes of mitral valve (MV) repair failure and MR recurrence. Methods: 1000 patients who underwent MV repair at our institution between 2008 and 2018 were enrolled. Patients were followed longitudinally for up to three years. Clinical and echocardiographic data were included in the analysis. Endpoints were MV repair surgical failure with consequent MV replacement or moderate/severe MR (>2+) recurrence at one-month and moderate/severe MR recurrence after three years. Results: 817 patients (DS1) had an echocardiographic examination at one-month while 295 (DS2) also had one at three years. Data were randomly divided into training (DS1: n = 654; DS2: n = 206) and validation (DS1: n = 164; DS2 n = 89) cohorts. For intra-operative or early MV repair failure assessment, the best area under the curve (AUC) was 0.75 and the complexity of mitral valve prolapse was the main predictor. In predicting moderate/severe recurrent MR at three years, the best AUC was 0.92 and residual MR at six months was the most<br> important predictor. Conclusions: Machine learning algorithms may improve prognosis after MV repair procedure, thus improving indications for correct candidate selection for MV surgical repair.</p>
Dataset related to the article "Head to Head Comparison between Different 3-Dimensional Echocardiographic Rendering Tools in the Imaging of Percutaneous Edge-to-Edge Mitral Valve Repair"
<p>This record contains raw data related to the article "Head to Head Comparison between Different 3-Dimensional Echocardiographic Rendering Tools in the Imaging of Percutaneous Edge-to-Edge Mitral Valve Repair"</p> <p>MitraClip (MC) is the most common percutaneous treatment for severe mitral regurgitation<br> (MR). An accurate two-dimensional and three-dimensional echocardiographic (3DTEE) imaging is<br> mandatory for the optimal procedural result. Recently transillumination 3DTEE rendering (3DTr) has<br> been introduced integrating a virtual light source into the dataset and with the addition of glass effect<br> (3DGl) allows to adjust tissue transparency improving depth perception and anatomical structure<br> delineation in comparison with the standard 3DTEE (3DSt). The aim of this retrospective study in<br> 30 patients undergoing MC, was to compare 3DSt, 3DTr, and 3DGl in mitral valve (MV) evaluation<br> and procedural result assessment. 3DTEE acquisitions obtained before and after MC were processed<br> with 3DSt, 3DTr, and 3DGl rendering. Each reconstruction was scored for quality and for ability<br> to recognize MV anatomy, MR origin, clip position, dimension and grasping. Imaging quality was<br> judged good or optimal in 52%, 76%, and 96% in 3DSt, 3DTr, and 3DGl reconstructions respectively.<br> In 26/30 patients a diagnostic incremental value was found with 3DTr vs. 3DSt and in 15/26 with<br> 3DGl vs. 3DTr and 3DSt. Only 3DGl with perpendicular cropping of the clip allowed to visualize and<br> measure the grasped portion of each mitral leaflets. 3DTEE imaging during MC may be improved<br> by 3DTr and 3DGl providing a better evaluation of MV, of leaflet grasping and of residual MR jets<br> after MC.</p>
Dataset related to article "Long term follow-up after balloon expandable covered stents implantation for management of transcatheter aortic valve replacement related vascular access complications"
<p>This record contains raw data related to article “Long term follow-up after balloon expandable covered stents implantation for management of transcatheter aortic valve replacement related vascular access complications"</p> <p>Abstract</p> <p><strong>Objectives: </strong> To report the experience of a high-volume center with balloon-expandable (BE) stents implantation to manage vascular complications after transcatheter aortic valve replacement (TAVR).</p> <p><strong>Background: </strong> Despite increased operator experience and better devices, vascular complications after TAVR are still a major issue and covered stent implantation is often required.</p> <p><strong>Methods: </strong> We retrospectively collected baseline and procedural data about 78 consecutive patients who underwent BE stent implantation to manage a vascular complication after transfemoral TAVR. Primary endpoints were technical success, incidence of new-onset claudication and need for vascular interventions during long-term follow-up. Secondary endpoints included length of hospitalization, in-hospital and 30-day mortality, and major postoperative complications.</p> <p><strong>Results: </strong> BE stents implantation to manage vascular complications after TAVR was successfully performed in 96.2% of the cases, with bailout surgery required in two cases. One patient suffered in-hospital death. Predischarge Doppler Ultrasound revealed no cases of in-stent occlusion or fracture. At a median follow-up of 429 days (interquartile range, 89-994 days), no cases of symptomatic leg ischemia were reported and only one patient experienced new-onset claudication.</p> <p><strong>Conclusions: </strong> Our experience showed good periprocedural and long-term results of BE covered stent implantation to manage vascular complication after TAVR. Their great radial outward force may guarantee effective hemostasis without necessarily being associated with stent deformation/fracture resulting in restenosis or further interventions. More research is needed to define the role of BE covered stents in this setting.</p>
Choice of Valve Substitute in the Era of Oral Anticoagulation Self-Management
ClinicalTrials.gov study NCT01269905. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Effect of Remote Ischemic Preconditioning on Acute Kidney Injury in Patients Undergoing Heart Valve Replacement Surgery With Cardiopulmonary Bypass
ClinicalTrials.gov study NCT01023152. IPD Sharing: Not stated. Countries: 0. Publications: 0.
J-Valve Compassionate Use
ClinicalTrials.gov study NCT03876964. IPD Sharing: Not stated. Countries: 0. Publications: 0.
Genome-wide analysis of Lp(a) induced gene expression in human aortic valve interstitial cells
GEO Series GSE101155. Homo sapiens. 12 samples. Type: Expression profiling by array.
Shear Stress and NOTCH1 Regulate Calcification Related Genes in Human Aortic Valve Endothelium (ChIP-Seq)
GEO Series GSE47152. Homo sapiens. 2 samples. Type: Genome binding/occupancy profiling by high throughput sequencing.
Effect of XCT790 on Human Aortic Valve (AV) Endothelial Cells (ECs) from Patients with Healthy Tricuspid, Calcified Tricuspid, or Calcified Bicuspid Avs
GEO Series GSE151312. Homo sapiens. 47 samples. Type: Expression profiling by high throughput sequencing.
Exploring the expression pattern of circRNA in the aortic valve
GEO Series GSE254393. Homo sapiens. 7 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Extracellular Matrix Disorganization Caused by ADAMTS16 Deficiency Leads to Bicuspid Aortic Valve with Raphe Formation
GEO Series GSE232560. Mus musculus. 15 samples. Type: Expression profiling by high throughput sequencing.
Aortic valve calcification is induced by the loss of ALDH1A1 and can be prevented by agonists of retinoic acid receptor alpha: preclinical evidence for drug repositioning
GEO Series GSE285688. Homo sapiens. 15 samples. Type: Expression profiling by array.
piRNAs dysregulated in calcific aortic valve disease
GEO Series GSE214630. Homo sapiens. 8 samples. Type: Non-coding RNA profiling by high throughput sequencing.
Oscillatory shear stress induced extracellular vesicles mediate valvular endothelial-interstitial cell crosstalk exacerbating aortic valve calcification [RIP-seq]
GEO Series GSE306740. Homo sapiens. 12 samples. Type: Other.
The alterations of gene expression in aortic valve from calcific aortic valve disease patients
GEO Series GSE77287. Homo sapiens. 6 samples. Type: Expression profiling by array.
Differential gene expression in human valve interstitial cells of normal aortic valves and calcified aortic valves
GEO Series GSE88803. Homo sapiens. 10 samples. Type: Expression profiling by array.
Aortic valve calcification is induced by the loss of ALDH1A1 and can be prevented by agonists of retinoic acid receptor alpha: preclinical evidence for drug repositioning, 2
GEO Series GSE285779. Homo sapiens. 10 samples. Type: Expression profiling by array.
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.