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Stephen Edward Rees

Researcher at Aalborg University

Publications -  5
Citations -  106

Stephen Edward Rees is an academic researcher from Aalborg University. The author has contributed to research in topics: Arterial blood & Venous blood. The author has an hindex of 3, co-authored 5 publications receiving 87 citations.

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Patent

Automatic lung parameter estimator

TL;DR: In this article, a device for determining respiratory parameters relating to an individual is disclosed, as well as a method for determining one or more respiratory parameters by means of the device, wherein the individual is suffering from hypoxemia or is at risk of hypoxemic.
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Enabling a learning healthcare system with automated computer protocols that produce replicable and personalized clinician actions.

Alan H. Morris, +68 more
TL;DR: In this article, the authors propose a feasible subset of therapeutic decision-support tools based on credible clinical outcome evidence: computer protocols leading to replicable clinician actions (eActions).
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Evaluation of Mathematical Arterialization of Venous Blood in Intensive Care and Pulmonary Ward Patients.

TL;DR: In this paper, the arterial, peripheral venous, and mathematically arterialized venous samples were compared in all patients using Bland-Altman analysis, with capillary samples included in 36 patients.
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Is venous blood a more reliable description of acid-base state following simulated hypo- and hyperventilation?

TL;DR: In this article, the acid-base status of arterial and peripheral venous blood was measured in emergency medicine patients without permanent arterial catheters, where the pain and anxiety associated with arterial punctures can cause ventilatory changes.
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Arterial and transcutaneous variability and agreement between multiple successive measurements of carbon dioxide in patients with chronic obstructive lung disease

TL;DR: PtcCO2 corrected for intra-patient bias provide reasonable description of PaCO2 values within but not outside steady state conditions, suggesting that PtcCO 2 is a valuable method for monitoring in chronic rather than acute conditions when bias can be removed.