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Abdominal obesity phenotype is associated with COVID-19 chest X-ray severity score better than BMI-based obesity.
<p>Dataset from Malavazos AE, Secchi F, Basilico S, Capitanio G, Boveri S, Milani V, Dubini C, Schiaffino S, Morricone L, Foschini C, Gobbo G, Piccinni R, Saibene A, Sardanelli F, Menicanti L, Guazzi M, Dong C, Romanelli MMC, Carruba M, Iacobellis G. Abdominal obesity phenotype is associated with COVID-19 chest X-ray severity score better than BMI-based obesity. Eat Weight Disord. 2021 Apr 5:1–15. doi: 10.1007/s40519-021-01173-w. Epub ahead of print. PMID: 33821453; PMCID: PMC8020829.</p> <p>Abstract</p> <p><strong>Purpose: </strong>Chest X-ray (CXR) severity score and BMI-based obesity are predictive risk factors for COVID-19 hospital admission. However, the relationship between abdominal obesity and CXR severity score has not yet been fully explored.</p> <p><strong>Methods: </strong>This retrospective cohort study analyzed the association of different adiposity indexes, including waist circumference and body mass index (BMI), with CXR severity score in 215 hospitalized patients with COVID-19.</p> <p><strong>Results: </strong>Patients with abdominal obesity showed significantly higher CXR severity scores and had higher rates of CXR severity scores ≥ 8 compared to those without abdominal obesity (P < 0.001; P = 0.001, respectively). By contrast, patients with normal weight, with overweight and those with BMI-based obesity showed no significant differences in either CXR severity scores or in the rates of CXR severity scores ≥ 8 (P = 0.104; P = 0.271, respectively). Waist circumference and waist-to-height ratio (WHtR) correlated more closely with CXR severity scores than BMI (r = 0.43, P < 0.001; r = 0.41, P < 0.001; r = 0.17, P = 0.012, respectively). The area under the curves (AUCs) for waist circumference and WHtR were significantly higher than that for BMI in identifying a high CXR severity score (≥ 8) (0.68 [0.60-0.75] and 0.67 [0.60-0.74] vs 0.58 [0.51-0.66], P = 0.001). A multivariate analysis indicated abdominal obesity (risk ratio: 1.75, 95% CI: 1.25-2.45, P < 0.001), bronchial asthma (risk ratio: 1.73, 95% CI: 1.07-2.81, P = 0.026) and oxygen saturation at admission (risk ratio: 0.96, 95% CI: 0.94-0.97, P < 0.001) as the only independent factors associated with high CXR severity scores.</p> <p><strong>Conclusion: </strong>Abdominal obesity phenotype is associated with a high CXR severity score better than BMI-based obesity in hospitalized patients with COVID-19. Therefore, when visiting the patient in a hospital setting, waist circumference should be measured, and patients with abdominal obesity should be monitored closely. Level of evidence Cross-sectional descriptive study, Level V.</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>
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>
Fear of physical activity in patients with heart failure and associations with anxiety scores and self-reported physical activity
<p>Physical activity (PA) is recommended for patients with stable chronic heart failure, but adherence to such recommendations is generally low. We used the recently developed “Fear of Activity in Situations - Heart Failure” questionnaire (Hoffmann et al., 2018) to examine fear of PA along with heart-focused fear and trait anxiety in a multi-site study of 185 outpatients with chronic heart failure. Only fear of PA was associated with indicators of disease severity, self-reported avoidance of PA and exercise behavior. In addition, our findings suggest that attention towards and being distressed by heart failure symptoms play a central role in fear of PA, particularly in patients with a vigilant coping style who are used to direct their attention towards health threats.</p>
Raw data of "Old and new equations for maximal heart rate prediction in patients with heart failure and reduced ejection fraction on beta-blockers treatment: results from the MECKI score data set"
<p>AIMS: Predicting maximal heart rate (MHR) in heart failure with reduced ejection fraction (HFrEF) still remains a major concern. In such a context, the Keteyian equation is the only one derived in a HFrEF cohort on optimized beta-blockers treatment. Therefore, using the Metabolic Exercise combined with Cardiac and Kidney Indexes (MECKI) data set, we looked for a possible MHR equation, for an external validation of Keteyien formula and, contextually, for accuracy of the historical MHR formulas and their relationship with the HR measured at the anaerobic threshold (AT). METHODS AND RESULTS: Data from 3487 HFrEF outpatients on optimized beta-blockers treatment from the MECKI data set were analyzed. Besides excluding all possible confounders, the new equation was derived by using HR data coming from maximal cardiopulmonary exercise test. The simplified derived equation was [109-(0.5*age) + (0.5*HR rest) + (0.2*LVEF)-(5 if haemoglobin &lt;11 g/dL)]. The R2 and the standard error of the estimate were 0.24 and 17.5 beats min-1 with a mean absolute percentage error (MAPE) = 11.9%. The Keteyian equation had a slightly higher MAPE = 12.3%. Conversely, the Fox and Tanaka equations showed extremely higher MAPE values. The range 75-80% of MHR according to the new and the Keteyian equations was the most accurate in identifying the HR at the AT (MAPEs = 11.3-11.6%). CONCLUSION: The derived equation to estimate the MHR in HFrEF patients, by accounting also for the systolic dysfunction degree and anaemia, improved slightly the Keteyian formula. Both formulas might be helpful in identifying the true maximal effort during an exercise test and the intensity domain during a rehabilitation programme.</p>
Lower semantic fluency scores and a phonemic-over-semantic advantage predict abnormal CSF P-tau181 levels in Aβ+ patients within the Alzheimer's disease clinical spectrum
<p>Dataset associated with the paper: "Lower semantic fluency scores and a phonemic-over-semantic advantage predict abnormal CSF P-tau<sub>181 </sub>levels in Aβ+ patients within the Alzheimer's disease clinical <em>spectrum".</em></p>
Survival Benefit of Surgical Treatment for Patients with Stage IVb Endometrial Cancer: A Propensity Score-Matched SEER Database Analysis
<p>Data set of the paper 'Survival benefits of surgical treatment for patients with stage IVb endometrial cancer: propensity score matching SEER database analysis.'</p>
Music Score Generation Dataset
<p>This dataset was created for automatic score-to-score generation for piano.</p>
Raw Data_Malnutrition is associated with an increased risk of death in hospitalized patients with active pulmonary tuberculosis: a propensity score matched retrospective cohort study
<p>Raw data</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.