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Critical Care (London, England)|March 28, 2006
Meningococcal disease: identifying high-risk casesDavid Inwald, Mark Peters
Critical Care (London, England)|June 10, 2011
Endotoxemia in pediatric critical illness--a pilot studyShamik Dholakia, David Inwald, Helen Betts, et al.
International Journal for Quality in Health Care : Journal of the International Society for Quality in Health Care|July 9, 2014
Diagnostic error in children presenting with acute medical illness to a community hospitalCatherine Warrick, Poonam Patel, Warren Hyer, et al.
Intensive Care Medicine|February 3, 2011
A clinical information system reduces medication errors in paediatric intensive careCatherine Warrick, Hetal Naik, Susan Avis, et al.
Critical Care (London, England)|November 21, 2017
A clinical prediction model to identify patients at high risk of hemodynamic instability in the pediatric intensive care unitCristhian Potes, Bryan Conroy, Minnan Xu-Wilson, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Mechanism for measurement of flow rate of cerebrospinal fluid in hydrocephalus shuntsSathish Rajasekaran, Spencer Kovar, Peng Qu, et al.
The Journal of Clinical Investigation|January 4, 2003
A novel form of integrin dysfunction involving beta1, beta2, and beta3 integrinsAlison McDowall, David Inwald, Birgit Leitinger, et al.
Journal of Pediatric Intensive Care|June 26, 2024
Chest Physiotherapy for Mechanically Ventilated Children: A Systematic ReviewEmma Shkurka, Jo Wray, Mark Peters, et al.
Intensive Care Medicine|August 14, 2012
Zero tolerance prescribing: a strategy to reduce prescribing errors on the paediatric intensive care unitRachelle Booth, Emma Sturgess, Alison Taberner-Stokes, et al.
Critical Care Medicine|February 25, 2009
Assessing the prediction potential of an in silico computer model of intracranial pressure dynamicsWayne Wakeland, Rachel Agbeko, Kevin Vinecore, et al.
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