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2,079 results for “prognostics”
Aetiology and prognostic risk factors of mortality in pneumonia patients receiving glucocorticoids alone or glucocorticoids and other immunosuppressants: a retrospective cohort study
<p><b>Objectives:</b> Long-term use of high-dose glucocorticoids can lead to severe immunosuppression and increased risk of treatment-resistant pneumonia and mortality. We investigated the aetiology and prognostic risk factors of mortality in hospitalised patients who developed pneumonia while receiving glucocorticoid therapy alone or glucocorticoid and other immunosuppressant therapies.</p> <p><b>Design:</b> Retrospective cohort study</p> <p><b>Setting: </b>Six secondary and tertiary academic hospitals in China</p> <p><b>Participants: </b>Patients receiving glucocorticoids who were hospitalised with pneumonia between 1<sup>st</sup> January 2013 and 31<sup>st</sup> December 2019.</p> <p><b>Main Outcomes: </b>We analysed<b> </b>the prevalence of comorbidities, microbiology, antibiotic susceptibility patterns, 30-day and 90-day mortality rates, and prognostic risk factors.</p> <p><b>Results</b>: A total of 716 patients were included, with pneumonia pathogens identified in 69.8% of patients. Significant morbidities occurred, including respiratory failure (50.8%), intensive care unit (ICU) transfer (40.8%), and mechanical ventilation (36%), with a 90-day mortality rate of 26.0%. Diagnosis of pneumonia occurred within 6 months of glucocorticoid initiation for 69.7% of patients with <i>Cytomegalovirus</i> (CMV) pneumonia and 79.0% of patients with <i>Pneumocystis jirovecii</i> pneumonia (PCP). Pathogens, including <i>Pneumocystis</i>, CMV, and multidrug-resistant bacteria, were identified more frequently in patients with persistent lymphocytopenia and high-dose glucocorticoid treatment (≥ 30 mg/day of prednisolone or equivalent within 30 days before admission). The 90-day mortality rate was significantly lower for non-CMV viral pneumonias than for PCP (<i>P</i> < 0.05), with a similar mortality rate as CMV pneumonias (24.2% vs 38.1% vs 27.4%, respectively).Cox regression analysis indicated <a name="_Hlk30339725"></a><a name="_Hlk31278800">several independent negative predictors for mortality in this patient population, including septic shock, respiratory failure, </a>persistent lymphocytopenia, interstitial lung disease, and high-dose glucocorticoid use.</p> <p><b>Conclusions</b>: Patients who developed pneumonia while receiving glucocorticoid therapy experienced high rates of opportunistic infections, with significant morbidity and mortality. These findings should be carefully considered when determining treatment strategies for this patient population.</p>
Prognostic Significance of Deep Learning-Based Tumor-Infiltrating Lymphocyte Assessment for Triple-Negative Breast Cancer
<p>The quantified manual and auto sTILs scores for the TNBC patiens from TCGA-BRCA cohort presented in the article "Prognostic Significance of Deep Learning-Based Tumor-Infiltrating Lymphocyte Assessment for Triple-Negative Breast Cancer" which is currently under review. </p>
Data from: Comparison of Nottingham Prognostic Index and Adjuvant Online prognostic tools in young women with breast cancer: review of a single-institution experience
Objective: Accurately predicting the prognosis of young patients with breast cancer (<40 years) is uncertain since the literature suggests they have a higher mortality and that age is an independent risk factor. In this cohort study we considered two prognostic tools; Nottingham Prognostic Index and Adjuvant Online (Adjuvant!), in a group of young patients, comparing their predicted prognosis with their actual survival. Setting: North East England. Participants: Data was prospectively collected from the breast unit at a Hospital in Grimsby between January 1998 and December 2007. A cohort of 102 young patients with primary breast cancer was identified and actual survival data was recorded. The Nottingham Prognostic Index and Adjuvant! scores were calculated and used to estimate 10-year survival probabilities. Pearson's correlation coefficient was used to demonstrate the association between the Nottingham Prognostic Index and Adjuvant! scores. A constant yearly hazard rate was assumed to generate 10-year cumulative survival curves using the Nottingham Prognostic Index and Adjuvant! predictions. Results: Actual 10-year survival for the 92 patients who underwent potentially curative surgery for invasive cancer was 77.2% (CI 68.6% to 85.8%). There was no significant difference between the actual survival and the Nottingham Prognostic Index and Adjuvant! 10-year estimated survival, which was 77.3% (CI 74.4% to 80.2%) and 82.1% (CI 79.1% to 85.1%), respectively. The Nottingham Prognostic Index and Adjuvant! results demonstrated strong correlation and both predicted cumulative survival curves accurately reflected the actual survival in young patients. Conclusions: The Nottingham Prognostic Index and Adjuvant! are widely used to predict survival in patients with breast cancer. In this study no statistically significant difference was shown between the predicted prognosis and actual survival of a group of young patients with breast cancer.
Data from: Prognostic relevance of cortical superficial siderosis in cerebral amyloid angiopathy
Objective: To investigate the prognostic relevance of cortical superficial siderosis (cSS) in patients with cerebral amyloid angiopathy (CAA). Methods: 302 patients fulfilling the modified Boston criteria for probable or possible CAA were enrolled into a prospective, multicenter cohort study and followed for 12 months. cSS was assessed on T2*/SWI MRI. The predefined primary composite endpoint was incident stroke or death in patients with cSS compared to those without. Secondary analyses included cerebrovascular events and functional outcome measured by the modified Rankin scale (mRS). Multiple regression analysis was performed to adjust for possible confounders.1 Results: cSS prevalence was 40%. The primary endpoint occurred more frequently in patients with cSS (22%, 27/121) compared to those without (8%, 15/181, p=0.001). Rates of CAA-related incident intracranial hemorrhage were 17% (cSS) and 4% (no cSS, p=0.0003). The proportion of patients being functionally independent (mRS 0-2) 12 months from baseline were 59% (cSS) and 82% (no cSS), p=0.00002). Presence of cSS was associated with the primary endpoint (adjusted odds ratio [OR] 1.2, 95% CI 1.1-1.3, p=0.0005), incident intracranial hemorrhage (adjusted OR 1.2, 95% CI 1.1-1.3, p=0.0003) and less favorable outcome as assessed by the mRS (common OR, 1.9, 95% CI 1.2-3.1, p=0.009). Similar results were obtained in analyses restricted to patients with probable CAA and to patients with disseminated cSS (all p<0.005). Conclusions: Patients with cSS and suspected CAA are at high risk for CAA-related incident intracranial hemorrhage and poor functional outcome. Both the presence and extent of cSS have prognostic relevance and may influence clinical decision making.
Dataset : Acute kidney injury complicating critical forms of COVID-19: risk factors and prognostic impact
<p><span><span>We aimed to assess the incidence, risk factors and prognostic impact of AKI complicating critical forms of COVID-19. Thus we conducted a</span> retrospective descriptive case/control monocentric study conducted in a medical intensive care unit of a tertiary teaching hospital over a period of 18 months.</span></p>
Figures for Developing an online data-driven approach for prognostics and health management of lithium-ion batteries
Open the record for dataset details and reuse information.
Systematic analysis identifies CDKN2A as a prognostic biomarker for hepatocellular carcinoma
Open the record for dataset details and reuse information.
Code for JAMES publication - Implementation of prognostic cloud ice number concentrations for the Weather Research and Forecasting (WRF) Double-Moment 6-class (WDM6) microphysics scheme.
<p>In this repository, we include the source codes for WRF microphysics parameterization used in the JAMES publication "Implementation of prognostic cloud ice number concentrations for the Weather Research and Forecasting (WRF) Double-Moment 6-class (WDM6) microphysics scheme"</p> <p> </p> <p>The revised WDM6 code, which predicts the number concentration of cloud ice, and the original WDM6 code are uploaded. Each code is modified so that detailed microphysical processes can be found in wrfout.</p> <p> </p> <p>Namelist files shows the namelist.input for each case.</p> <p> </p> <p>Scripts file for figures in this manuscript are uploaded</p>
Prognostic Value of High-Sensitive C-Reactive Protein in patients with In-Stent Restenosis: A Meta-Analysis of Clinical Trials
<p>Supplement figures</p>
Identification and Validation of a Gene-based Signature Reveals SLC25A10 as a Novel Prognostic Indicator for Patients with Ovarian Cancer
<p>The data and code used in the manuscript entitled "Identification and Validation of a Gene-based Signature Reveals SLC25A10 as a Novel Prognostic Indicator for Patients with Ovarian Cancer".</p>
Data and Codes for Publication: "Sexually Dimorphic Computational Histopathological Signatures Prognostic of Overall Survival in High-Grade Gliomas via Deep Learning"
<p><strong>Data</strong></p> <p>The patches and the associated tumor segmentation labels (expert-vetted) from our analysis are available in Patches.pytable file.<br><br><strong>Codes<br><br></strong>The codes for training tumor segmentation models and conducting survival analysis are available in the following files</p> <ul> <li>ResNet-train: Code to train Resnet18 model for Tumor Segmentation</li> <li>Tumor_Segmentation: Code to segment tumor regions from WSI using ResNet18 model</li> <li>ResNet_Cox_train: Code to train ResNet-Cox model in 5 folds cross-validation setting</li> <li>Evaluate_ResNetCox: Code to evaluate ResNet-Cox model</li> </ul>
Dataset for paper: Prognostic Stratification by the Meet-URO Score in Real-World Older Patients With Metastatic Renal Cell Carcinoma (mRCC) Receiving Cabozantinib: A Subanalysis of the Prospective ZEBRA Study (Meet-URO 9)
<p>Dataset for paper: Prognostic Stratification by the Meet-URO Score in Real-World Older Patients With Metastatic Renal Cell Carcinoma (mRCC) Receiving Cabozantinib: A Subanalysis of the Prospective ZEBRA Study (Meet-URO 9)</p>
Associated code and data for "A network medicine approach for identifying diagnostic and prognostic biomarkers and exploring drug repurposing in human cancer (doi: 10.1016/j.csbj.2022.11.037)"
<p>This deposit contains the latest data, code, and analysis to recreate the results in the manuscript "A network medicine approach for identifying diagnostic and prognostic biomarkers and exploring drug repurposing in human cancer". Computational and Structural Biotechnology Journal 2023. <a href="https://www.researchgate.net/publication/365864472_A_network_medicine_approach_for_identifying_diagnostic_and_prognostic_biomarkers_and_exploring_drug_repurposing_in_human_cancer">DOI: 10.1016/j.csbj.2022.11.037</a>. </p> <p>If you use the code or data from this repository, please cite our publication.</p> <p> </p>
Multiplex imaging of breast cancer lymph node metastases identifies prognostic single-cell populations independent of clinical classifiers
<p>This repository contains the continuation of dataset 10.5281/zenodo.7494413 and 10.5281/zenodo.7494509.</p> <p>The file tiff_stacks_masks.zip contains the IMC image stacks and single-cell masks as tiff files.</p> <p>The IHC_TMAs.zip contains the scans of the IHC stains of ZTMA25 and the QuPATH projects used to extract the single-cell data (incl. the single-cell measurements as csv files).</p>
Colorectal liver metastases patients prognostic assessment: prospects and limits of radiomics and radiogenomics
<p>I uploaded the images of the manuscript: </p> <table> <tbody> <tr> <td> <p>Title<br> Colorectal liver metastases patients prognostic assessment: prospects and limits of radiomics and radiogenomics</p> </td> </tr> <tr> <td> <p>Journal<br> Infectious Agents and Cancer</p> </td> </tr> <tr> <td> <p>DOI<br> 10.1186/s13027-023-00495-x</p> </td> </tr> </tbody> </table> <p> </p>
Association of PD-L1 immunoexpression with the clinicopathological characteristics and its prognostic significance in OPMD and OSCC
<p>Master chart for Oral Potentially Premalignant cases and Oral Squamous Cell carcinoma cases.</p>
Heart rate variability as a prognostic marker in critically ill patients
<p>Master Data Sheet</p>
A novel immune-related prognostic signature based on Chemoradiotherapy sensitivity predicts long-term survival in patients with esophageal squamous cell carcinoma.
<p>Raw Data for PeerJ</p>
The Data and Codes for Training, Testing, and Prognostic Validation of A ResNet Ensemble for Moist Physics (ResCu-en)
<p>Note: the monthly averaged NCAM, SPCAM, and CAM5 results are uploaded as *_h0.tar.gz!</p> <p>The data and codes for Training, Testing, and Prognostic Validation of A ResNet Ensemble for Moist Physics (ResCu-en) are stored in this repositary.</p> <p>This project is built on python3.7 and tensorflow-gpu2.3.0, and the scripts for analysis and plots are on jupyter-notebook.</p> <p>Please make sure to install all python packages used in an environment.</p> <p>Please read the ReadME-2.txt.</p> <p>For the entire training and testing datasets in both the baseline and +4K SST climates. Please download them from Dryad (<a href="https://doi.org/10.6075/J0CZ35PP">https://doi.org/10.6075/J0CZ35PP</a> and https://doi.org/10.6075/J03J3BGF), Onedrive (https://1drv.ms/u/s!ArKTPPs6U_9DjxPJeSReKlbsLzyh?e=PDlWYJ), and Dropbox (https://www.dropbox.com/s/yc4fx35laqwt0fu/SPCAM_ML_4K.tar.gz?dl=0 and https://www.dropbox.com/s/4pxahzwt9v55u2m/SPCAM_ML_RAD.tar.gz?dl=0).</p>
Soil and atmospheric drought explain the biophysical conductance responses in diagnostic and prognostic evaporation models over two contrasting European forest sites
<p>This contains the datasets and codes that were used to generate the results and discussions in the manuscript.</p>
ScienceDex guides
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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.