Intensive care medicine
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Intensive care medicine · Feb 2001
Hepatic oxygen exchange and energy metabolism in hyperdynamic porcine endotoxemia: effects of the combined thromboxane receptor antagonist and synthase inhibitor DTTX30.
We compared the effects of thromboxane receptor antagonist and synthase inhibitor DTTX30 on systemic and liver blood flow, oxygen (O2) exchange and energy metabolism during 24 h of hyperdynamic endotoxemia with untreated endotoxemia. ⋯ DTTX30 significantly attenuated the endotoxin-induced derangements of cellular energy metabolism as reflected by the diminished progressive decrease in hepatic lactate uptake rate and a blunted increase in hepatic venous lactate/pyruvate ratios. While endotoxin significantly increased the endogenous glucose production (EGP) rate, EGP returned towards baseline levels in the DTTX30-treated group. Thus, in our model DTTX30 resulted in hemodynamic stabilization concomitant with improved hepatic metabolic performance.
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Intensive care medicine · Jan 2001
Randomized Controlled Trial Multicenter Study Comparative Study Clinical TrialComparative clinical trial of progressive dilatational and forceps dilatational tracheostomy.
To compare the safety and early complications of progressive dilatational tracheostomy (PDT) and forceps dilatational tracheostomy (FDT). ⋯ Both percutaneous tracheostomy techniques are safe. The early complication rate of PDT appeared to be lower than FDT, but the early complication rate of FDT may be decreased significantly with small modifications to the set.
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Intensive care medicine · Jan 2001
Base excess and lactate as prognostic indicators for patients admitted to intensive care.
To examine whether values of arterial base excess or lactate taken on admission to a general intensive care unit indicate prognosis, and whether this can be used as a screening tool for future intensive care admissions. ⋯ Both base excess and lactate, or the combination of the two, can be used to predict outcome in patients admitted to the intensive care unit. These variables could be utilized to identify patients who have a high risk for mortality and thus who should be admitted to the intensive care unit.