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Quality management of Acute Kidney Injury (AKI) is dependent on early detection, which is currently deemed to be suboptimal. The aim of this study was to identify combinations of variables associated with AKI and to derive a prediction tool for detecting patients attending the emergency department (ED) or hospital with AKI (ED-AKI).

This retrospective observational study was conducted in the ED of a tertiary university hospital in Wales. Between April and August 2016 20,421 adult patients attended the ED of a University Hospital in Wales and had a serum creatinine measurement. Using an electronic AKI reporting system, 548 incident adult ED-AKI patients were identified and compared to a randomly selected cohort of adult non-AKI ED patients (n=571). A prediction model for AKI was derived and subsequently internally validated using bootstrapping. The primary outcome measure was the number of patients with ED-AKI.

In 1119 subjects, 27 variables were evaluated. Four ED-AKI models were generated with C-statistics ranging from 0.800 to 0.765. The simplest and most practical multivariate model (model 3) included eight variables that could all be assessed at ED arrival. A 31-point score was derived where 0 is minimal risk of ED-AKI. The model discrimination was adequate (C-statistic 0.793) and calibration was good (Hosmer & Lomeshow test 27.4). ED-AKI could be ruled out with a score of <2.5 (sensitivity 95%). Internal validation using bootstrapping yielded an optimal Youden index of 0.49 with sensitivity of 80% and specificity of 68%.

A risk-stratification model for ED-AKI has been derived and internally validated. The discrimination of this model is objective and adequate. (R,S)-3,5-DHPG compound library chemical It requires refinement and external validation in more generalisable settings.

A risk-stratification model for ED-AKI has been derived and internally validated. The discrimination of this model is objective and adequate. It requires refinement and external validation in more generalisable settings.

We sought to determine if emergency physician providers working in the triage area (PIT) of the ED could accurately predict the likelihood of admission for patients at the time of triage. Such predictions, if accurate, could decrease the time spent in the ED for patients who are admitted to the hospital by hastening downstream workflow.

This is a prospective cohort study of PIT providers at a large urban hospital. Physicians were asked to predict the likelihood of admission and confidence of prediction for patients after evaluating them in triage. Measures of predictive accuracy were calculated, including sensitivity, specificity, and area under the receiver operator characteristic (AUROC).

36 physicians (20 attendings, 16 residents) evaluated 340 patients and made predictions. The average patient age was 48 (range 18-94) and 52% were female. Seventy-three patients (21%) were admitted (5% observation, 85% general care/telemetry, 7% progressive care, 3% ICU). The sensitivity of determining admission for the entire cohort was 74%, the specificity was 84%, and the AUROC was 0.81. When physicians were at least 80% confident in their predictions, the predictions improved to sensitivity of 93%, specificity of 96%, and AUROC 0.95 (Graph 1).

The accuracy of physician providers-in-triage of predicting hospital admission was very good when those predictions were made with higher degrees of confidence. These results indicate that while general predictions of admission are likely inadequate to guide downstream workflow, predictions in which the physician is confident could provide utility.

The accuracy of physician providers-in-triage of predicting hospital admission was very good when those predictions were made with higher degrees of confidence. These results indicate that while general predictions of admission are likely inadequate to guide downstream workflow, predictions in which the physician is confident could provide utility.

This study seeks to determine the utility of D-dimer levels as a biomarker in determining disease severity and prognosis in COVID-19.

Clinical, imaging and laboratory data of 120 patients whose COVID-19 diagnosis based on RT-PCR were evaluated retrospectively. Clinically, the severity of COVID-19 was classified as noncomplicated or mild or severe pneumonia. Radiologically, the area of affected lungs compatible with viral pneumonia in each patient's computed tomography was classified as either 0-30% or≥31% of the total lung area. The D-dimer values and laboratory data of patients with COVID-19 were compared with inpatient status, duration of hospitalization, and lung involvement during treatment and follow-up. To assess the predictive value of D-dimer, receiver operating characteristic (ROC) analysis was conducted.

D-dimer elevation (> 243ng/ml) was detected in 63.3% (76/120) of the patients. link2 The mean D-dimer value was calculated as 3144.50±1709.4ng/ml (1643-8548) for inpatients with severe pneumonia in the intensive care unit. link3 D-Dimer values showed positive correlations with age, duration of stay, lung involvement, fibrinogen, neutrophil count, neutrophil lymphocyte ratio (NLR) and platelet lymphocyte ratio (PLR). When the threshold D-dimer value was 370ng/ml in the ROC analysis, this value was calculated to have 77% specificity and 74% sensitivity for lung involvement in patients with COVID-19.

D-Dimer levels in patients with COVID-19 correlate with outcome, but further studies are needed to see how useful they are in determining prognosis.

D-Dimer levels in patients with COVID-19 correlate with outcome, but further studies are needed to see how useful they are in determining prognosis.The COVID-19 pandemic poses significant challenges to patients with end-stage kidney disease who receive treatment in outpatient dialysis centers. These patients represent a fragile population that is at higher risk for both infection and transmission. At the start of the pandemic, many suspected COVID-19 dialysis patients were diverted to the emergency department (ED) for testing/treatment, placing a tremendous burden on the ED and inpatient dialysis units. Several recommendations and guidelines have been established to optimize patient care while also decreasing the burden on the ED and inpatient dialysis units and maximizing the ability to perform outpatient hemodialysis. As the pandemic continues, dialysis facilities will have an increasing burden to provide safe and accessible dialysis, while also being able to direct patients to the ED for either emergent dialysis or COVID-19 treatment/testing. We reviewed opinions, recommendations and guidelines developed by professional organizations and dialysis facilities for the management of "patients under investigation" (PUIs) and COVID-19 positive patients that depend on whether the suspicion occurs while the patient is at home vs. at the dialysis center.

We investigated the efficacy and safety of hydroxychloroquine for empirical treatment of outpatients with confirmed COVID-19.

In this prospective, single-center study, we enrolled ambulatory outpatients with COVID-19 confirmed by a molecular method who received hydroxychloroquine. The patients were divided into low- and moderate-risk groups based on the Tisdale risk score for drug-associated QT prolongation, and the QT interval was corrected for heart rate using the Bazett formula (QTc). The QTc interval was measured by electrocardiography both pretreatment (QTc1) and 4h after the administration of hydroxychloroquine (QTc2). The difference between the QTc1 and QTc2 intervals was defined as the ΔQTc. The QTc1 and QTc2 intervals and ΔQTc values were compared between the two risk groups.

The median and interquartile range (IQR) age of the patients was 47.0 (36.2-62) years, and there were 78 men and 74 women. The median (IQR) QTc1 interval lengthened from 425.0 (407.2-425.0) to 430.0 (QTc2; 412.0-443.0) milserious adverse events leading to treatment discontinuation in the majority of patients who were stable and did not require hospitalization.

Our findings show that hydroxychloroquine is safe for COVID-19 and not associated with a risk of ventricular arrhythmia due to drug-induced QTc interval prolongation. Additionally, hydroxychloroquine was well tolerated, and there were no drug-related non-serious adverse events leading to treatment discontinuation in the majority of patients who were stable and did not require hospitalization.The exponential growth of commercial flights has resulted in an explosion of air travelers over the last few decades, including passengers with a wide range of cardiovascular conditions. Notwithstanding the ongoing COVID-19 pandemic that had set back the aviation industry for the next 1-2 years, air travel is expected to rebound fully by 2024. Guidelines and evidence-based recommendations for safe air travel in this group vary, and physicians often encounter situations where opinions and assessments on fitness for flights are sought. This article aims to provide an updated suite of recommendations for the aeromedical disposition of passenger with common cardiovascular conditions, such as ischemic heart disease, congestive heart failure, valvular heart disease, cardiomyopathies, and common arrhythmias.

The novel coronavirus pandemic is an ongoing challenge faced by the public and health care systems around the globe. Majority of information and evidence gathered so far regarding COVID-19 has been derived from data and studies in adult populations. Crucial information regarding the characterization, clinical symptomatology, sequelae, and overall outcomes in the pediatric population is lacking. As such, we aimed to conduct a comprehensive meta-analysis and systematic review to collect and analyze current evidence about COVID-19 in the pediatric population.

A systematic search and review of scientific literatures was conducted following the PRISMA guidelines using PubMed, Embase, Scopus, Medline, and Google Scholar databases. All relevant studies until June 16, 2020 were included. Studies were reviewed for methodological quality, and random-effects model was used to conduct the primary meta-analysis. I

value and Egger's test was used to estimate heterogeneity and publication bias respectively.

We revie %) was severe. Mortality was observed in 0.3 % ([CI 0.1-0.4], I

0%) of the overall cases.

COVID-19 is prevalent across all pediatric age-groups and presents with varying degree of symptomology. However, children have a milder course of the disease with extremely favorable prognosis. Laboratory and radiological features are inconsistent and require further investigations. Additional studies are needed on this topic to corroborate findings and establish evidence-based and consistent characterization of COVID-19 in the pediatric population.

COVID-19 is prevalent across all pediatric age-groups and presents with varying degree of symptomology. However, children have a milder course of the disease with extremely favorable prognosis. Laboratory and radiological features are inconsistent and require further investigations. Additional studies are needed on this topic to corroborate findings and establish evidence-based and consistent characterization of COVID-19 in the pediatric population.