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299 results for “Risk stratification”
Lung ultrasonography features and risk stratification in 80 patients with COVID-19: a prospective observational cohort study
<p><strong>Background</strong></p> <p>Point-of-care lung ultrasound (LUS) is a promising and pragmatic risk stratification tool in COVID-19. This study describes and compares early LUS characteristics across of range of clinical outcomes.</p> <p><strong>Method</strong></p> <p>Prospective observational study of PCR-confirmed COVID-19 patients in the emergency department (ED) of Lausanne University Hospital. A trained physician recorded LUS images using a standardized protocol. Two experts retrospectively reviewed images blinded to patient outcome. We describe and compare early LUS findings (acquired within 24hours of presentation at the ED) between patient groups based on their outcome at 7-days after inclusion: 1) self-resolving outpatients, 2) hospitalised and 3) intubated/death. The LUS score was used to discriminate between groups.</p> <p><strong>Findings</strong></p> <p>Between March 6 and April 3 2020, we included 80 patients (18 outpatients, 41 hospitalized and 21 intubated/dead). 73 patients (91%) had abnormal LUS (72% outpatients, 95% hospitalised and 100% intubated/death; p=0.004). The proportion of involved zones was lower in outpatients compared with other groups (median 30% [IQR 0-40%], 44% [33-70%] and 70% [50-88%], p<0.001). Predominant abnormal patterns were bilateral and multifocal spread thickening of the pleura with pleural line irregularities (77%), confluent B lines (66%) and pathologic B lines (55%). Posterior inferior zones were more often affected. Median LUS score had a good level of discrimination between outpatients and others with area under the ROC of 0.80 (95% CI 0.66-0.95).</p> <p><strong>Interpretation</strong></p> <p>Systematic LUS is a reliable, cheap and easy-to-use triage tool for the early stratification of risk in COVID-19 patients presenting at emergency departments.</p> <p><strong>Funding</strong></p> <p>Leenaards Foundation</p>
Effect of Providing Stratification of Low Risk Penicillin Allergies on Penicillin Allergy Label Removal in ICU Setting
ClinicalTrials.gov study NCT03702283. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
CARISMA : Cardiac Arrhythmias and Risk Stratification After MyoCardial Infarction
ClinicalTrials.gov study NCT00145119. IPD Sharing: Not stated. Countries: 1. Publications: 9.
Developing and Evaluating a Machine-Learning Opioid Overdose Prediction & Risk-Stratification Tool in Primary Care
ClinicalTrials.gov study NCT06810076. IPD Sharing: NO. Countries: 1. Publications: 5.
Early Risk Stratification in ED Chest Pain Patients
ClinicalTrials.gov study NCT02364271. IPD Sharing: Not stated. Countries: 1. Publications: 17.
A Phase II Study to Evaluate Axumin PET/CT for Risk Stratification for Prostate Cancer
ClinicalTrials.gov study NCT03373006. IPD Sharing: YES. Countries: 1. Publications: 5.
Risk Stratification in Patients With Preserved Ejection Fraction
ClinicalTrials.gov study NCT02124018. IPD Sharing: UNDECIDED. Countries: 1. Publications: 1.
Diagnostic Accuracy of Shear-Wave Elastography for the Preoperative Risk Stratification of Follicular Lesions of the Thyroid
ClinicalTrials.gov study NCT03106337. IPD Sharing: NO. Countries: 1. Publications: 1.
Thromboembolic Risk Stratification by TRiP(Cast) Score to Guide Physicians in Preventive Treatment Prescriptions for Patients With Lower Limb Trauma Requiring Brace or castING.
ClinicalTrials.gov study NCT04064489. IPD Sharing: NO. Countries: 2. Publications: 2.
Risk Stratification in Acute Care: The Meaning of suPAR Measurement in Triage
ClinicalTrials.gov study NCT02643459. IPD Sharing: NO. Countries: 1. Publications: 4.
Deep Learning Diagnostic and Risk-stratification for IPF and COPD
ClinicalTrials.gov study NCT05318599. IPD Sharing: YES. Countries: 1. Publications: 1.
Risk Stratification to Promote Effective Shared Decision-Making for Colorectal Cancer Screening
ClinicalTrials.gov study NCT01596582. IPD Sharing: NO. Countries: 1. Publications: 5.
Carvedilol for the Prevention of Anthracycline/Anti-HER2 Therapy Associated Cardiotoxicity Among Women With HER2-Positive Breast Cancer Using Myocardial Strain Imaging for Early Risk Stratification
ClinicalTrials.gov study NCT02177175. IPD Sharing: Not stated. Countries: 1. Publications: 1.
Data for: Characterizing multi-criteria decision analysis, risk stratification, and hotspot analysis methods to optimise disease policymaking and evidence translation for medicines in low- and middle-income countries: A scoping review
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Data from: A risk stratification tool for prehospital triage of patients exposed to a whiplash trauma
Objective: Our aim was to develop a risk stratification model to predict the presence of a potentially more sinister injury in patients exposed to a whiplash trauma. Methods: The study base comprised of 3,115 residents who first sought healthcare contact within one week after being exposed to a whiplash trauma between 1999-2008, from within a defined geographical area, Skaraborg County in south-western Sweden. Information about gender, age, time elapsed prior to seeking care, type of health care contact, and hospitalization was retrieved. Eighteen potential risk factors were identified and evaluated using multivariate logistic regression. Results: Of 3,115 patients, 215 (6.9%) required hospital admission so theoretically 93% could have been initially assessed by primary health care. However, only 46% had their first contact in primary health care. All patients had symptoms resulting in a diagnosis of whiplash injury. Four risk factors were found to be associated with hospital admission: commotio cerebri (OR 31, 19-51), fracture / luxation (OR 11, 5.1-22), serious injury (OR 41, 8.0-210), and the patient sought care during the same day as the trauma (OR 5.9, 3.7- 9.5). These four risk factors explained 27 % of the variation for hospital admission and the area under curve (AUC) was 0.77 (0.74-0.80). Ninety-six percent of patients (2,985) had only a whiplash injury with none of the other four risk factors. These could be split into those attending health care the same day as the trauma, 1,737 (56%) with a 7.1% risk for hospital admission, and those attending health care later, 1,248 (40%) with a 1.3% risk for hospital admission. Conclusion: Patients with no signs of commotio cerebri, no fracture/luxation injury, no serious injury, comprising 96% of all patients exposed to a whiplash trauma can initially be referred to primary health care for initial assessment. However, those contacting the health care the same day as the trauma should be referred to a hospital for evaluation if they can't get an appointment with a general practitioner the same day.
Data from: Performance and agreement of risk stratification instruments for postoperative delirium in persons aged 50 years or older
Several risk stratification instruments for postoperative delirium in older people have been developed because early interventions may prevent delirium. We investigated the performance and agreement of nine commonly used risk stratification instruments in an independent validation cohort of consecutive elective and emergency surgical patients aged ≥50 years with ≥1 risk factor for postoperative delirium. Data was collected prospectively. Delirium was diagnosed according to DSM-IV-TR criteria. The observed incidence of postoperative delirium was calculated per risk score per risk stratification instrument. In addition, the risk stratification instruments were compared in terms of area under the receiver operating characteristic (ROC) curve (AUC), and positive and negative predictive value. Finally, the positive agreement between the risk stratification instruments was calculated. When data required for an exact implementation of the original risk stratification instruments was not available, we used alternative data that was comparable. The study population included 292 patients: 60% men; mean age (SD), 66 (8) years; 90% elective surgery. The incidence of postoperative delirium was 9%. The maximum observed incidence per risk score was 50% (95%CI, 15–85%); for eight risk stratification instruments, the maximum observed incidence per risk score was ≤25%. The AUC (95%CI) for the risk stratification instruments varied between 0.50 (0.36–0.64) and 0.66 (0.48–0.83). No AUC was statistically significant from 0.50 (p≥0.11). Positive predictive values of the risk stratification instruments varied between 0–25%, negative predictive values between 89–95%. Positive agreement varied between 0–66%. No risk stratification instrument showed clearly superior performance. In conclusion, in this independent validation cohort, the performance and agreement of commonly used risk stratification instruments for postoperative delirium was poor. Although some caution is needed because the risk stratification instruments were not implemented exactly as described in the original studies, we think that their usefulness in clinical practice can be questioned.
Multi-region sequencing with spatial information enables accurate heterogeneity estimation and risk stratification in liver cancer
<p>We performed multi-region sampling and sequencing on 14 patients with HCC, collecting a total of 75 tumor samples with spatial information and molecular data. In addition, 21 matched adjacent liver samples were also collected. All samples were subjected to RNA sequencing (RNA-seq). RNA sequencing was performed on Illumina NovaSeq 6000 platform with 40M pair-end 150bp reads per sample. Whole-exome sequencing (WES) was performed on 36 samples from patients T10, T13 and T18 (n = 26) as well as adjacent non-tumor tissues (n = 10). Paired end, 150bp read-length sequencing was then performed on Illumina NovaSeq 6000 platform with a mean sequencing coverage of 100X. Raw sequencing data has been deposited at the National Omics Data Encyclopedia (NODE) under the accession code OEP002956 ( <a href="http://www.biosino.org/node/project/detail/OEP002956">http://www.biosino.org/node/project/detail/OEP002956</a>).</p>
Risk Stratification of Rapid Disease Progression in Children With Crohn's Disease
ClinicalTrials.gov study NCT00790543. IPD Sharing: NO. Countries: 2. Publications: 1.
Cardiac Magnetic Resonance for Risk Stratification in Non-dilated Left Ventricular Cardiomyopathy
ClinicalTrials.gov study NCT07351838. IPD Sharing: UNDECIDED. Countries: 1. Publications: 3.
Precision Risk Stratification in Kidney Transplant Patients - EU-TRAIN
ClinicalTrials.gov study NCT03652402. IPD Sharing: Not stated. Countries: 4. Publications: 15.
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Allen Brain Atlas
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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.