Per Thorgaard

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To present a decision support system for optimising mechanical ventilation in patients residing in the intensive care unit. Mathematical models of oxygen transport, carbon dioxide transport and lung mechanics are combined with penalty functions describing clinical preference toward the goals and side-effects of mechanical ventilation in a decision theoretic(More)
Objective.Clinical measurements of pulmonary gas exchangeabnormalities might help prevent hypoxaemia and be useful in monitoringthe effects of therapy. In clinical practice single parameters are oftenused to describe the abnormality e.g., the “effectiveshunt.” A single parameter description is often insufficient,lumping the effects of several abnormalities.(More)
BACKGROUND Late postoperative arterial hypoxaemia is common after major surgery, and may contribute to cardiovascular, cerebral or wound complications. This study investigates the time course of hypoxaemia following gynaecological laparotomy, and estimates parameters of mathematical models of pulmonary gas exchange to describe hypoxaemia. METHODS Twelve(More)
OBJECTIVE To evaluate a model describing postoperative hypoxemia after cardiac surgery by using two variables, i.e., shunt and resistance to oxygen diffusion (Rdff). DESIGN Estimation of these two variables in normal subjects and postoperative cardiac patients. SETTING The pulmonary function laboratory for the normal subjects and the intensive care unit(More)
BACKGROUND AND OBJECTIVE To investigate the clinical application of a mathematical model of pulmonary gas exchange, which ascribes hypoxaemia to shunt and ventilation/perfusion mismatch. Ventilation/perfusion mismatch is quantified by deltaPO2, which is the drop in oxygen pressure from alveoli to lung capillaries. Shunt and deltaPO2 were used to describe(More)
Objective. To investigate whether parameters describing pulmonary gas exchange (shunt and ventilation-perfusion mismatch) can be estimated consistently by the use of non-invasive data as input to a mathematical model of oxygen transport. Design. Prospective study. Setting. Investigations were carried out in the post-anaesthesia care unit, coronary care(More)
This paper describes INVENT, a system for selecting ventilator setting based on physiological models and penalty functions. The models and penalty functions included in INVENT are first described followed by an example of the use of the system in selecting ventilator settings for a patient residing in the intensive care unit. For this patient, the advice(More)
Selecting appropriate ventilator settings decreases the risk of ventilator-induced lung injury. A decision support system (DSS) has been developed based on physiological models, which can advise on setting of tidal volume (Vt), respiratory frequency (f) and fraction of inspired oxygen (FiO2). The aim of this study is to assess the feasibility of the DSS by(More)
A multicentre study in five postanaesthesia care units (PACUs) was performed to investigate patient and staff opinion of a specially designed music environment (DME), related to geographical location. Patients (325) and staff (91) described their opinion by means of a questionnaire-anonymously in the case of staff. Patients were not asked beforehand for(More)