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1,947 results for “Proposals”
Proposal for a clinical and an echocardiographic score for prediction of left atrial thrombosis in atrial fibrillation patients undergoing early electrical cardioversion
<p>Aims: Left atrial thrombosis (LAT) is usually detected by transesophageal echocardi-<br> ography (TEE). The aim of the present study was to identify clinical and echocardio-<br> graphic factors associated with left atrial thrombosis in atrial fibrillation (AF) patients <br> undergoing early electrical cardioversion (ECV) in order to create scores that can <br> predict LAT, in a non-invasive way.<br> Methods: A consecutive cohort of patients with persistent AF scheduled for ECV <br> was evaluated by transthoracic echocardiography and TEE. By a logistic regression <br> model, variables significantly associated with LAT were assessed and introduced in <br> predictive models to develop both a clinical and an echocardiographic prediction <br> score for the presence of LAT.<br> Results: In total, 125 patients [median 71 (range 49-88) years, 60.0% males] were <br> enrolled. Transesophageal echocardiography showed LAT in 35 patients (28%). The <br> clinical variables significantly associated with LAT were previous stroke (OR = 4.17), <br> higher CHA2DS2-VASc score (OR = 1.93), lower estimated glomerular filtration rate <br> (OR = 0.80), and higher brain natriuretic peptide levels (OR = 1.44). Among echocar-<br> diographic parameters, E/e′ ratio was directly associated with LAT (OR = 2.25), while <br> an inverse correlation was detected with left ventricular ejection fraction (OR = 0.43) <br> and total global left atrial strain (OR = 0.59). Two prediction scores (clinical and echo-<br> cardiographic) were developed. The positive predictive values of the clinical and the <br> echocardiographic score were 80% and 100%, respectively, while the negative pre-<br> dictive values were 98% and 94%, respectively. Combined use of the scores reached <br> a positive and negative predictive value of 100%.<br> Conclusions: When providing concordant information the two scores are able to cor-<br> rectly identify patients with or without LAT. An external validation is necessary to <br> demonstrate their usefulness in the clinical practice.</p>
Proposal for a clinical and an echocardiographic score for prediction of left atrial thrombosis in atrial fibrillation patients undergoing early electrical cardioversion
<p>Aims: Left atrial thrombosis (LAT) is usually detected by transesophageal echocardi-<br> ography (TEE). The aim of the present study was to identify clinical and echocardio-<br> graphic factors associated with left atrial thrombosis in atrial fibrillation (AF) patients <br> undergoing early electrical cardioversion (ECV) in order to create scores that can <br> predict LAT, in a non-invasive way.<br> Methods: A consecutive cohort of patients with persistent AF scheduled for ECV <br> was evaluated by transthoracic echocardiography and TEE. By a logistic regression <br> model, variables significantly associated with LAT were assessed and introduced in <br> predictive models to develop both a clinical and an echocardiographic prediction <br> score for the presence of LAT.<br> Results: In total, 125 patients [median 71 (range 49-88) years, 60.0% males] were <br> enrolled. Transesophageal echocardiography showed LAT in 35 patients (28%). The <br> clinical variables significantly associated with LAT were previous stroke (OR = 4.17), <br> higher CHA2DS2-VASc score (OR = 1.93), lower estimated glomerular filtration rate <br> (OR = 0.80), and higher brain natriuretic peptide levels (OR = 1.44). Among echocar-<br> diographic parameters, E/e′ ratio was directly associated with LAT (OR = 2.25), while <br> an inverse correlation was detected with left ventricular ejection fraction (OR = 0.43) <br> and total global left atrial strain (OR = 0.59). Two prediction scores (clinical and echo-<br> cardiographic) were developed. The positive predictive values of the clinical and the <br> echocardiographic score were 80% and 100%, respectively, while the negative pre-<br> dictive values were 98% and 94%, respectively. Combined use of the scores reached <br> a positive and negative predictive value of 100%.<br> Conclusions: When providing concordant information the two scores are able to cor-<br> rectly identify patients with or without LAT. An external validation is necessary to <br> demonstrate their usefulness in the clinical practice.</p>
data set related to article Validation of the Proposed Specifiers for Conduct Disorder (PSCD) Scale in a Sample of Italian Students
<p>This record contains raw data related to article Validation of the Proposed Specifiers for Conduct Disorder (PSCD) Scale in a Sample of Italian Students</p>
Video Recordings of the Research "Roadmap for an Islamic Poverty Framework and Measurement: Stakeholders' Perspectives on the Proposed Model"
<p>The uploaded videos are the data for the research paper "Roadmap for an Islamic Poverty Framework and Measurement: Stakeholders’ Perspectives on the Proposed Model".</p>
data set related to article Lung ultrasound in young children with neurological impairment: A proposed integrative clinical tool for deaeration-detection related to feeding
<p>This record contains raw data related to article Lung ultrasound in young children with neurological impairment: A proposed integrative clinical tool for deaeration-detection related to feeding</p> <p>Per la richiesta di accesso al file contattare la Dr.ssa Simona Fiori all'indirizzo email simona.fiori@fsm.unipi.it</p>
2017 MA Research Proposal
<p>2017 MA Research proposal</p>
Dataset for "A proposed SHCE feature selection method for estimating forest aboveground biomass from multiple satellite data"
<p>The data are associated with a submitted manuscript.</p>
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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.