Search Results - "Ercole, Ari"

Ethnic and regional variations in hospital mortality from COVID-19 in Brazil: a cross-sectional observational study by Baqui, Pedro, Bica, Ioana, Marra, Valerio, Ercole, Ari, van der Schaar, Mihaela

“…Brazil ranks second worldwide in total number of COVID-19 cases and deaths. Understanding the possible socioeconomic and ethnic health inequities is…”
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Severe traumatic brain injury: targeted management in the intensive care unit by Stocchetti, Nino, Prof, Carbonara, Marco, MD, Citerio, Giuseppe, MD, Ercole, Ari, MD, Skrifvars, Markus B, MD, Smielewski, Peter, PhD, Zoerle, Tommaso, MD, Menon, David K, Prof

“…Summary Severe traumatic brain injury (TBI) is currently managed in the intensive care unit with a combined medical–surgical approach. Treatment aims to…”
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Machine learning for the prediction of sepsis: a systematic review and meta-analysis of diagnostic test accuracy by Fleuren, Lucas M., Klausch, Thomas L. T., Zwager, Charlotte L., Schoonmade, Linda J., Guo, Tingjie, Roggeveen, Luca F., Swart, Eleonora L., Girbes, Armand R. J., Thoral, Patrick, Ercole, Ari, Hoogendoorn, Mark, Elbers, Paul W. G.

“…Purpose Early clinical recognition of sepsis can be challenging. With the advancement of machine learning, promising real-time models to predict sepsis have…”
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Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or curation by Deasy, Jacob, Liò, Pietro, Ercole, Ari

“…Extensive monitoring in intensive care units (ICUs) generates large quantities of data which contain numerous trends that are difficult for clinicians to…”
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Can network science reveal structure in a complex healthcare system? A network analysis using data from emergency surgical services by Kohler, Katharina, Ercole, Ari

“…IntroductionHospitals are complex systems and optimising their function is critical to the provision of high quality, cost effective healthcare. Metrics of…”
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How artificial intelligence and machine learning can help healthcare systems respond to COVID-19 by van der Schaar, Mihaela, Alaa, Ahmed M., Floto, Andres, Gimson, Alexander, Scholtes, Stefan, Wood, Angela, McKinney, Eoin, Jarrett, Daniel, Lio, Pietro, Ercole, Ari

“…The COVID-19 global pandemic is a threat not only to the health of millions of individuals, but also to the stability of infrastructure and economies around…”
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Between-centre differences for COVID-19 ICU mortality from early data in England by Qian, Zhaozhi, Alaa, Ahmed M., van der Schaar, Mihaela, Ercole, Ari

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Bayesian model selection for multilevel models using integrated likelihoods by Edinburgh, Tom, Ercole, Ari, Eglen, Stephen

“…Multilevel linear models allow flexible statistical modelling of complex data with different levels of stratification. Identifying the most appropriate model…”
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Machine learning in intensive care medicine: ready for take-off? by Fleuren, Lucas M., Thoral, Patrick, Shillan, Duncan, Ercole, Ari, Elbers, Paul W. G.

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A daily temperature rhythm in the human brain predicts survival after brain injury by Rzechorzek, Nina M, Thrippleton, Michael J, Chappell, Francesca M, Mair, Grant, Ercole, Ari, Cabeleira, Manuel, Rhodes, Jonathan, Marshall, Ian, O'Neill, John S

“…Patients undergo interventions to achieve a 'normal' brain temperature; a parameter that remains undefined for humans. The profound sensitivity of neuronal…”
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Comparing COVID-19 risk factors in Brazil using machine learning: the importance of socioeconomic, demographic and structural factors by Baqui, Pedro, Marra, Valerio, Alaa, Ahmed M., Bica, Ioana, Ercole, Ari, van der Schaar, Mihaela

“…The COVID-19 pandemic continues to have a devastating impact on Brazil. Brazil’s social, health and economic crises are aggravated by strong societal…”
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Mechanical ventilation in patients with acute brain injury: recommendations of the European Society of Intensive Care Medicine consensus by Robba, Chiara, Poole, Daniele, McNett, Molly, Asehnoune, Karim, Bösel, Julian, Bruder, Nicolas, Chieregato, Arturo, Cinotti, Raphael, Duranteau, Jacques, Einav, Sharon, Ercole, Ari, Ferguson, Niall, Guerin, Claude, Siempos, Ilias I., Kurtz, Pedro, Juffermans, Nicole P., Mancebo, Jordi, Mascia, Luciana, McCredie, Victoria, Nin, Nicolas, Oddo, Mauro, Pelosi, Paolo, Rabinstein, Alejandro A., Neto, Ary Serpa, Seder, David B., Skrifvars, Markus B., Suarez, Jose I., Taccone, Fabio Silvio, van der Jagt, Mathieu, Citerio, Giuseppe, Stevens, Robert D.

“…Purpose To provide clinical practice recommendations and generate a research agenda on mechanical ventilation and respiratory support in patients with acute…”
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Performance of cardiopulmonary exercise testing for the prediction of post-operative complications in non cardiopulmonary surgery: A systematic review by Stubbs, Daniel J, Grimes, Lisa A, Ercole, Ari

“…Cardiopulmonary exercise testing (CPET) is widely used within the United Kingdom for preoperative risk stratification. Despite this, CPET's performance in…”
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Sharing ICU Patient Data Responsibly Under the Society of Critical Care Medicine/European Society of Intensive Care Medicine Joint Data Science Collaboration: The Amsterdam University Medical Centers Database (AmsterdamUMCdb) Example by Thoral, Patrick J., Peppink, Jan M., Driessen, Ronald H., Sijbrands, Eric J. G., Kompanje, Erwin J. O., Kaplan, Lewis, Bailey, Heatherlee, Kesecioglu, Jozef, Cecconi, Maurizio, Churpek, Matthew, Clermont, Gilles, van der Schaar, Mihaela, Ercole, Ari, Girbes, Armand R. J., Elbers, Paul W. G.

“…Critical care medicine is a natural environment for machine learning approaches to improve outcomes for critically ill patients as admissions to ICUs generate…”
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The Association between Supraphysiologic Arterial Oxygen Levels and Mortality in Critically Ill Patients. A Multicenter Observational Cohort Study by Palmer, Edward, Post, Benjamin, Klapaukh, Roman, Marra, Giampiero, MacCallum, Niall S, Brealey, David, Ercole, Ari, Jones, Andrew, Ashworth, Simon, Watkinson, Peter, Beale, Richard, Brett, Stephen J, Young, J Duncan, Black, Claire, Rashan, Aasiyah, Martin, Daniel, Singer, Mervyn, Harris, Steve

“…There is conflicting evidence on harm related to exposure to supraphysiologic Pa (hyperoxemia) in critically ill patients. To examine the association between…”
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Generalisable Overview of Study Risk for Lead Investigators Needing Guidance (GOSLING): A data governance risk tool by Arora, Anmol, Loveday, Adam, Burge, Sarah, Gosling, Amy, Ercole, Ari, Pountain, Sarah, Street, Helen, Kabare, Stephanie, Jena, Raj

“…Digitisation of patient records, coupled with a moral imperative to use routinely collected data for research, necessitate effective data governance that both…”
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Impact of duration and magnitude of raised intracranial pressure on outcome after severe traumatic brain injury: A CENTER-TBI high-resolution group study by Åkerlund, Cecilia Ai, Donnelly, Joseph, Zeiler, Frederick A, Helbok, Raimund, Holst, Anders, Cabeleira, Manuel, Güiza, Fabian, Meyfroidt, Geert, Czosnyka, Marek, Smielewski, Peter, Stocchetti, Nino, Ercole, Ari, Nelson, David W

“…Magnitude of intracranial pressure (ICP) elevations and their duration have been associated with worse outcomes in patients with traumatic brain injuries…”
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Agreement between arterial and end-tidal carbon dioxide in adult patients admitted with serious traumatic brain injury by Sardesai, Neil, Hibberd, Owen, Price, James, Ercole, Ari, Barnard, Ed B G

“…Low-normal levels of arterial carbon dioxide (PaCO2) are recommended in the acute phase of traumatic brain injury (TBI) to optimize oxygen and CO2 tension, and…”
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Optimal intensive care outcome prediction over time using machine learning by Meiring, Christopher, Dixit, Abhishek, Harris, Steve, MacCallum, Niall S, Brealey, David A, Watkinson, Peter J, Jones, Andrew, Ashworth, Simon, Beale, Richard, Brett, Stephen J, Singer, Mervyn, Ercole, Ari

“…Prognostication is an essential tool for risk adjustment and decision making in the intensive care unit (ICU). Research into prognostication in ICU has so far…”
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Application of the Sepsis-3 criteria to describe sepsis epidemiology in the Amsterdam UMCdb intensive care dataset by Williams, Christopher Y K, Edinburgh, Tom, Elbers, Paul W G, Thoral, Patrick J, Ercole, Ari

“…Sepsis is a major cause of morbidity and mortality worldwide. In the updated, 2016 Sepsis-3 criteria, sepsis is defined as life-threatening organ dysfunction…”
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