European journal of clinical investigation
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Eur. J. Clin. Invest. · Nov 2020
ReviewInvestigating the Capabilities of Information Technologies to support Policymaking in COVID-19 Crisis Management; A Systematic Review and Expert opinions.
Today, numerous countries are fighting to protect themselves against the Covid-19 crisis, while the policymakers are confounded and empty handed in dealing with this chaotic circumstance. The infection and its impacts have made it difficult to make optimal and suitable decisions. New information technologies play significant roles in such critical situations to address and relieve stress during the coronavirus crisis. This article endeavours to recognize the challenges policymakers have typically experienced during pandemic diseases, including Covid-19, and, accordingly, new information technology capabilities to encounter with them. ⋯ The results illustrate that the challenges fall into two categories including; encountering the disease and reducing the results of the disease. Furthermore, Internet of things, cloud computing, machine learning and social networking play the most significant roles to address these challenges.
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Eur. J. Clin. Invest. · Nov 2020
Biological senescence risk score. A practical tool to predict biological senescence status.
Ageing and biological senescence, both related to cardiovascular disease, are mediated by oxidative stress and inflammation. We aim to develop a predictive tool to evaluate the degree of biological senescence in coronary patients. ⋯ These predictive models allow us to calculate the degree of biological senescence in coronary patients, identifying a subgroup of patients at higher risk and who may require more intensive treatment.
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Eur. J. Clin. Invest. · Nov 2020
Impact of adrenomedullin levels on clinical risk stratification and outcome in subarachnoid hemorrhage.
To use classification tree analysis to identify risk factors for nonsurvival in a neurological patients with subarachnoid haemorrhage (SAH) and to propose a clinical model for predicting of mortality. ⋯ The study established a model (APACHE II, MR-proADM and Hunt&Hess) to predict fatal outcomes in patients with SAH. The proposed decision-making algorithm may help identify patients with a high risk of mortality.
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Eur. J. Clin. Invest. · Nov 2020
Predictors for delayed antibiotic administration among bacteraemic patients in the Emergency Department: differences between medical and surgical interns.
Bloodstream infections (BSIs) have been associated with high mortality. The aim of the study was to identify predictors of early (within 3 hours from triage) administration of first antibiotic dose among patients evaluated in the Emergency Department (ED) with BSI and their role in mortality. ⋯ The majority of patients received the first antibiotic dose after 3 hours Patients evaluated by surgical interns had a significant delay in administration of antibiotics as compared to those treated by medical interns.