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579 results for “Stratification”
Effects of Stratification on Wind-Driven Upwelling over a Coastal Valley
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In Search of the Correct Diagnosis of Beta-lactam Allergy: From the Validation of a Risk Stratification Tool to Accurate Endotyping
ClinicalTrials.gov study NCT07011212. IPD Sharing: NO. Countries: 0. Publications: 0.
Developing a Prognostic Stratification Model Based on Glutathione Metabolism in Thyroid Cancer and Validating RRM2’s Tumor‑Promoting Role
GEO Series GSE302548. Homo sapiens. 6 samples. Type: Expression profiling by high throughput sequencing.
A Method for Temporal-Spatial Multivariate Genomic Analysis of Acute Wound Healing via Tissue Stratification: A Porcine Negative Pressure Therapy Pilot Study
GEO Series GSE233863. Sus scrofa. 24 samples. Type: Expression profiling by high throughput sequencing.
Stratification of renal cell carcinoma patients by abundance of sarcomatoid features reveals differences in survival and underlying pathobiology
GEO Series GSE261172. Homo sapiens. 45 samples. Type: Expression profiling by high throughput sequencing.
Three-dimensional retinal organoids from mouse pluripotent stem cells mimic in vivo development with enhanced stratification and rod photoreceptor differentiation
GEO Series GSE86790. Mus musculus. 16 samples. Type: Expression profiling by high throughput sequencing.
Comparison of transcriptomic data obtained from stimulated and unstimulated samples for the stratification of patients with a compromised immune system (in the context of sepsis and allogeneic hematop
GEO Series GSE285098. Homo sapiens. 256 samples. Type: Other.
TP53 mutational status is a potential marker for risk stratification in Wilms tumour with diffuse anaplasia [expression]
GEO Series GSE60850. Homo sapiens. 36 samples. Type: Expression profiling by array.
Comparison of transcriptomic data obtained from stimulated and unstimulated samples for the stratification of patients with a compromised immune system [REALISM cohort]
GEO Series GSE285096. Homo sapiens. 114 samples. Type: Other.
A Gene Expression-Based Risk Stratification Model for Newly Diagnosed Multiple Myeloma
GEO Series GSE8991. Homo sapiens. 288 samples. Type: Expression profiling by array.
TP53 mutational status is a potential marker for risk stratification in Wilms tumour with diffuse anaplasia
GEO Series GSE60940. Homo sapiens. 68 samples. Type: Expression profiling by array; Genome variation profiling by array.
Expression data from 16H and 24H post-stratification seeds from Arapidopsis thaliana pme36-1 and Col0 lines
GEO Series GSE155433. Arabidopsis thaliana. 16 samples. Type: Expression profiling by array.
Data set from the article Malavazos AE, Capitanio G, Chessa M, Matelloni IA, Milani V, Stella E, Al Kassem LF, Sironi F, Boveri S, Giamberti A, Masocco M, Ranucci M, Menicanti L, Morricone L. Body mass index stratification in hospitalized Italian adults with congenital heart disease in relation to complexity, diagnosis, sex and age. Nutr Metab Cardiovasc Dis. 2019 Apr;29(4):367-377. doi: 10.1016/j.numecd.2019.01.009. Epub 2019 Jan 29. PMID: 30795994.
<p>The data set refers on the article Malavazos AE, Capitanio G, Chessa M, Matelloni IA, Milani V, Stella E, Al Kassem LF, Sironi F, Boveri S, Giamberti A, Masocco M, Ranucci M, Menicanti L, Morricone L. Body mass index stratification in hospitalized Italian adults with congenital heart disease in relation to complexity, diagnosis, sex and age. Nutr Metab Cardiovasc Dis. 2019 Apr;29(4):367-377. doi: 10.1016/j.numecd.2019.01.009. Epub 2019 Jan 29. PMID: 30795994.</p> <p>This is the abstract:</p> <p><strong>Background and aims: </strong>Adults with congenital heart disease (ACHD) are at risk of overweight and obesity, two major health problems, though underweight can be a negative prognostic factor too. Awareness of the body mass index (BMI) in ACHD is very limited. The present study describes the use and prevalence of BMI in Italian symptomatic hospitalized ACHD patients in relation to complexity by Bethesda system classification, diagnosis, sex and age.</p> <p><strong>Methods and results: </strong>We classified 1388 ACHD patients, aged 18-69 years, on the basis of their BMI, and compared them to the Italian reference population. In our total ACHD population we found a significantly higher prevalence of underweight compared to the Italian reference population (6.34% vs 3.20%). ACHD women were more underweight than men. Underweight decreased with age. Overweight was significantly less frequent in the total ACHD population (26.73% compared to 31.70%) in the Italian reference population. Men were more likely to be overweight than women. In statistical terms obesity was similar in the Italian reference population (10.50%) and our ACHD population (9.58%). Both overweight and obesity increased with age. Results were comparable using a diagnostic anatomical-functional classification and the Bethesda system classification.</p> <p><strong>Conclusions: </strong>In our cohort of ACHD the prevalence of underweight was double that of the Italian reference population. The prevalence of overweight was lower, while obesity was similar. Since BMI does not account for differences in body fat distribution, a future aim will be to quantify the visceral component of the adipose tissue in ACHD patients and examine their body composition in order to reflect their risk of acquired cardiovascular disease better, and either to maintain or achieve an adequate visceral component.</p>
Data set from the article Vianello E, Marrocco-Trischitta Massimiliano M, Dozio E, Bandera F, Tacchini L, Canciani E, Dellavia C, Schmitz G, Lorenzo M, Corsi Romanelli Massimiliano M. Correlational study on altered epicardial adipose tissue as a stratification risk factor for valve disease progression through IL-13 signaling. J Mol Cell Cardiol. 2019 Jul;132:210-218. doi: 10.1016/j.yjmcc.2019.05.012. Epub 2019 May 15. Erratum in: J Mol Cell Cardiol. 2019 Aug;133:112. PMID: 31102584.
<p>Data set from the article Vianello E, Marrocco-Trischitta Massimiliano M, Dozio E, Bandera F, Tacchini L, Canciani E, Dellavia C, Schmitz G, Lorenzo M, Corsi Romanelli Massimiliano M. Correlational study on altered epicardial adipose tissue as a stratification risk factor for valve disease progression through IL-13 signaling. J Mol Cell Cardiol. 2019 Jul;132:210-218. doi: 10.1016/j.yjmcc.2019.05.012. Epub 2019 May 15. Erratum in: J Mol Cell Cardiol. 2019 Aug;133:112. PMID: 31102584.</p> <p>This is the abstract:</p> <p><strong>Aims: </strong>Genetic and environmental factors all interact in the risk of progression of valvular dysfunctions. Previous studies reported a relation between valve diseases and epicardial adipose tissue (EAT) thickness. The aim of this study was to verify the possible relationship between the molecular pattern of EAT related to IL-13 fibrogenic cytokine expression and valve dysfunction.</p> <p><strong>Methods and results: </strong>A valvular heart disease (VHD) population was stratified according to their median EAT thickness (7 mm). The molecular expression of IL-13 in EAT is directly related to the molecular expression of genes associated with extracellular matrix (ECM) turnover, macrophage infiltration and promotion of the formation of ectopic calcific nodules involved in aorta coarctation and calcification.</p> <p><strong>Conclusion: </strong>IL-13 gene expression in altered EAT is directly related to the expression of genes involved in ECM turnover and the formation of ectopic calcific nodules, suggesting measurements of EAT as a stratification risk factor for valve instability in the VHD patients.</p> <p> </p>
Model outputs of "Numerical investigation of nonlinear interaction between salinity- and sediment-induced stratification in highly turbid estuaries and coastal seas"
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ExpertMIX stratification of molecular profiles and clinical disease severity of RRMS patients
GEO Series GSE61240. Homo sapiens. 550 samples. Type: Expression profiling by array.
TP53 mutational status is a potential marker for risk stratification in Wilms tumour with diffuse anaplasia [aCGH]
GEO Series GSE60852. Homo sapiens. 32 samples. Type: Genome variation profiling by array.
Data set from the article Bari V, Vaini E, Pistuddi V, Fantinato A, Cairo B, De Maria B, Ranucci M, Porta A. Short-term multiscale complexity analysis of cardiovascular variability improves low cardiac output syndrome risk stratification after coronary artery bypass grafting. Physiol Meas. 2019 Apr 26;40(4):044001. doi: 10.1088/1361-6579/ab12f0. PMID: 30909175.
<p>Data set from the article Bari V, Vaini E, Pistuddi V, et al. Short-term multiscale complexity analysis of cardiovascular variability improves low cardiac output syndrome risk stratification after coronary artery bypass grafting. <em>Physiol Meas</em>. 2019;40(4):044001. Published 2019 Apr 26. doi:10.1088/1361-6579/ab12f0</p> <p>This is the abstract:</p> <p><strong>Background: </strong>Low cardiac output syndrome (LCOS) is a myocardial dysfunction leading to systemic hypoperfusion, favored by particular conditions of the autonomic nervous system. LCOS is one of the adverse events that might occur after cardiac surgery.</p> <p><strong>Objective: </strong>The aim is to test the hypothesis that short-term multiscale complexity (MSC) analysis of heart period (HP) and systolic arterial pressure (SAP) variability series in the frequency bands typical of cardiovascular control could be fruitfully exploited in identifying subjects at risk of developing LCOS after coronary artery bypass graft (CABG).</p> <p><strong>Approach: </strong>HP and SAP beat-to-beat series were derived from electrocardiogram (ECG) and invasive arterial pressure (AP) signal acquired in 128 patients scheduled for CABG before (PRE) and after (POST) the induction of general anesthesia with propofol and remifentanil. Subjects were labeled as LCOS (n = 14) and noLCOS (n = 114) according to the LCOS development. MSC markers were calculated as the complement to 1 of the modulus of the average position of the poles dropping in the low-frequency (LF, 0.04-0.15 Hz) and high-frequency (HF, 0.15-0.5 Hz) bands as derived from the autoregressive model of HP and SAP series. Traditional time and frequency domain indexes were also calculated.</p> <p><strong>Main results: </strong>Traditional parameters were able to assess the depression of the cardiovascular regulation induced by general anesthesia, but showed weak performances in differentiating LCOS and noLCOS groups. Conversely, HP complexity in LF band and SAP complexity in HF band assessed during POST remained associated with LCOS even after entering a multivariate logistic regression model adjusted for clinical and demographic factors.</p> <p><strong>Significance: </strong>The MSC approach can be fruitfully applied to improve risk stratification for LCOS after CABG likely because MSC markers describe the dysfunction of the sympathetic control and the impairment of the mechanical properties of the heart in the LCOS group.</p>
Rapid Risk Stratification of Acute Ischemic Stroke Patients in the Emergency Department: The Incremental Prognostic Role of Left Atrial Reservoir Strain
<p><strong>Objectives</strong>: To determine the prognostic value of positive global left atrial strain (LA-GSA+), measured by two-dimensional speckle tracking echocardiography (2D-STE) in a population of acute ischemic stroke (AIS) patients without atrial fibrillation (AF), in the setting of Emergency Department (ED).</p> <p><strong>Methods</strong>: All consecutive AIS patients with sinus rhythm on ECG and without AF history entered this prospective study. All patients underwent complete blood tests and transthoracic echocardiography implemented with 2D-STE analysis of LA strain parameters within 6-12 hours after symptoms onset. At 6-months follow-up, we evaluated the composite endpoint of all-cause mortality plus cardiovascular re-hospitalizations.</p> <p><strong>Results</strong>: A total of 102 AIS patients (76.4±10.8 yrs, 47% males) were prospectively included. LA-GSA+ was markedly reduced in AIS patients (20.8±7.7%), without any statistically significant difference between the stroke subtypes. At 6-months follow-up, 7 deaths and 27 re-hospitalizations occurred. On multivariate Cox regression analysis, variables independently associated with outcome were: LA-GSA+ (per unit) (HR 0.29, 95% CI 0.19-0.39) and C-reactive protein (CRP) (per 0.1 mg/dl) (HR 1.45, 95% CI 1.15-1.75) as continuous variables; statin therapy (HR 0.45, 95%CI 0.28-0.62), and type 2 diabetes (HR 1.65, 95% CI 1.15-2.35) as categorical variables. A LA-GSA+ ≤20.0% predicted the occurrence of the above-mentioned outcome at 6-months follow-up with 94% sensitivity and 81% specificity (AUC=0.84). Interestingly, GSA+ showed a strong inverse correlation with CRP levels (r=-0.86).</p> <p><strong>Conclusions</strong>: A LA-GSA+ ≤20% reflects a more advanced atrial cardiomyopathy and might provide a rapid and reliable prognostic risk stratification of AIS patients without AF history in the setting of ED.</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.