Find research datasets worth reusing
Search datasets from major research repositories and use ShareScore to quickly assess how well each record supports discovery, access, and reuse.
444
datasets available to search
ShareScore release 0.9.0
Dataset results
444 results for “Echocardiography”
THE IMPACT OF SHORT-TERM HYPERGLYCEMIA AND OBESITY ON BIVENTRICULAR AND BIATRIAL MYOCARDIAL FUNCTION ASSESSED BY SPECKLE TRACKING ECHOCARDIOGRAPHY IN A POPULATION OF WOMEN WITH GESTATIONAL DIABETES MELLITUS
<p><strong>Background and aims: </strong>To compare biventricular and biatrial myocardial strain indices assessed by two-dimensional speckle tracking echocardiography (2D-STE) in women with gestational diabetes mellitus (GDM) and those with uncomplicated pregnancy at the third trimester of pregnancy and in post-partum.</p> <p><strong>Methods and results: </strong>30 consecutive GDM women and 30 age-, ethnicity- and gestational week-matched controls without any comorbidity were examined in this prospective case-control study. All women underwent obstetric visit, blood tests and transthoracic echocardiography (TTE) implemented with 2D-STE analysis of all cardiac chambers at 36-38 weeks’ gestation. TTE and 2D-STE were repeated at 6–10 weeks after delivery.</p> <p>At 36-38 weeks’ gestation, GDM women, compared to controls, had significantly higher body mass index (BMI), blood pressure values and inflammatory markers. TTE showed increased left ventricular (LV) mass and impaired LV diastolic function in GDM women, whereas there was no significant difference between the groups in ejection fraction. 2D-STE revealed that biventricular global longitudinal strain (GLS) and biatrial reservoir strain indices were significantly lower in GDM women than controls. Third trimester BMI was inversely correlated with LV-GLS (r=–0.86) and was independently associated with reduced LV-GLS (less negative than –20%) in GDM women in post-partum (OR 1.81, 95%CI 1.14-2.89). A BMI value ≥30 Kg/m<sup>2 </sup>had 100% sensitivity and 99.5% specificity for identifying GDM women with impaired LV-GLS in post-partum (AUC=0.97).</p> <p><strong>Conclusion: </strong>Women with GDM, compared to women with uncomplicated pregnancy, have significantly lower biventricular and biatrial myocardial deformation indices. These abnormalities may be persistent in post-partum in GDM women with obesity.</p>
Mechanical concordance between left atrium and left atrial appendage in nonvalvular atrial fibrillation: can it be exploited to avoid transesophageal echocardiography prior to electrical cardioversion during Covid‑19 pandemic?
<p>Transesophageal echocardiography (TEE) is the gold standard for assessing left atrial appendage (LAA) mechanic and throm-<br> bosis (LAAT); however, TEE is a high-risk procedure for viral transmission during coronavirus disease 2019 (COVID-19) <br> pandemic. We investigated whether deformation indices of left atrium (LA) at transthoracic echocardiography (TTE) correlate <br> with those of LAA assessed by TEE in nonvalvular atrial fibrillation (NVAF) patients undergoing electrical cardioversion <br> (ECV). Consecutive patients with NVAF of ≥ 48 h or unknown duration, who underwent TEE and TTE at our Institution <br> before ECV were retrospectively investigated. Standard echo-Doppler and LA and LAA myocardial strain and strain rate <br> parameters were analyzed. A total of 115 NVAF patients (71.3 ± 8.1 yr/o, 59.1% men) were included: LAAT was diagnosed <br> in 25 (21.7%) patients. Compared to patients without LAAT, those with LAAT had significantly higher CHA2DS2-VASc <br> Risk score (4.5 ± 1.4 vs. 3.5 ± 1.1, p < 0.001), and lower ejection fraction (46.0 ± 14.8 vs. 57.6 ± 8.6%, p < 0.001). In LAAT <br> patients, global strain of LA (8.7 ± 2.6 vs. 16.3 ± 4.5%, p < 0.001) and LAA (7.0 ± 1.7 vs. 11.7 ± 2.0%, p < 0.001) was sig-<br> nificantly reduced compared to non-LAAT patients. A close relationship between left atrial strain reservoir (LASr) and <br> LAA-global strain was demonstrated (r = 0.81). By univariable analysis, CHA2DS2-VASc Risk Score (OR 2.01, 95%CI <br> 1.34–3.00), NT-proBNP (OR 1.36, 95%CI 1.19–1.54), ejection fraction (OR 0.92, 95%CI 0.88–0.96), E/e’ ratio (OR 2.07, <br> 95%CI 1.51–2.85), and LASr (OR 0.39, 95%CI 0.25–0.62) were strongly associated with LAAT presence at TEE. By mul-<br> tivariable analysis, only LASr (OR 0.40, 95%CI 0.24–0.70) retained statistical significance. ROC curve analysis revealed <br> that an LASr cut-off value ≤ 9.3% had 98.9% sensibility and 100% specificity to identify LAAT by TEE (AUC = 0.98). In <br> patients with NVAF of ≥ 48 h or unknown duration, scheduled to undergo ECV, LA deformation assessment by TTE might <br> substitute invasive measurement of LAA function by TEE, simplifying diagnostic approach and possibly contributing to <br> reduce COVID-19 infection diffusion.</p>
Correlation Between Doppler Echocardiography and Right HearCatheterisation-Derived Systolic and Mean Pulmonary Artery Pressures: Determinants of Discrepancies Between the Two Methods
<p>Raw data related to the article.</p> <p>Abstract</p> <p>Background There is still controversy about whether transthoracic echocardiography (TTE) can provide reliable estimations<br> of pulmonary artery pressures (PAP). The primary endpoint of this study was to evaluate the<br> correlation between TTE and right heart catheterisation (RHC) in estimating systolic (SPAP) and mean<br> (MPAP) pulmonary artery pressures.<br> Methods Between January 2011 and December 2018, 141 consecutive patients (average age 63.6611.5 years; 84<br> women) with suspected or confirmed pulmonary hypertension (PH) were enrolled into this retrospective<br> observational monocentric study. All patients underwent TTE and, within 3 hours, RHC. The correlation<br> between TTE and RHC in estimating both SPAP and MPAP was retrospectively determined.<br> Results Seventeen (17) of the patients were excluded due to insufficient TTE signal quality. Of the remaining 124<br> patients, 18 had no PH. There was moderate correlation between both SPAP and MPAP estimated by TTE<br> and those assessed by RHC (r=0.65 and r=0.60, respectively). Bland-Altman analysis revealed a bias of<br> –11.9 mmHg (with the 95% limits of agreement ranging –45.4 to 121.5 mmHg) for SPAP estimation and<br> –4.6 mmHg (with the 95% limits of agreement ranging –27.9 to 118.8 mmHg) for MPAP estimation,<br> suggesting a general overestimation of PAP by TTE. The main factors responsible for discrepancies between<br> TTE and RHC were: female gender, arrhythmic cardiac electrical activity, systemic arterial hypertension,<br> and diuretic treatment.<br> Conclusions Transthoracic echocardiography frequently overestimated PAP in comparison with RHC, especially in<br> hypertensive women with arrhythmias and under diuretic treatment.</p>
Echocardiography-guided pericardiocentesis as the method of choice for treatment of significant pericardial effusion following cardiac surgery: a single-centre experience, 2004-2015
<p>Data.</p>
ScienceDex guides
Understand access before you commit
These curated guides explain access requirements, typical timelines, costs, and reuse considerations for widely used research datasets.
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.