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Over range UOP could be reliably predicted and the total fluid volume might be significantly reduced using the dynamic resuscitation model.
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The experimental results demonstrated that the developed dynamic fluid resuscitation model might significantly reduce the total fluid volume by accurately predicting hourly urine output and has the potential to aid fluid administration in severe burn patients.
In this retrospective study, a dynamic fluid resuscitation model was developed by formulating UOP and infusion rate based on the observational data recorded during the initial 48 hours after injury from severe adult burn patients.
Situation awareness (SA) is a vital construct for decision making in intense, dynamic environments such as trauma resuscitation.
Nevertheless, bleeding and resuscitation reflect a dynamic process.
Recently a three-hit, or even four-hit model of septic shock was suggested trying to answer four basic questions, in which we can recognize four distinct dynamic phases of fluid therapy [40]: resuscitation, optimization, stabilization and evacuation (de-resuscitation) (the acronym ROSE) (Table 3, Fig. 5).
Further fluid resuscitation was guided by dynamic predictors (pulse pressure variation) in patients under mechanical ventilation, except in patients with atrial fibrillation [22].
We designed this study to gain more insights into the most appropriate resuscitation goal from a dynamic point of view.
Resuscitation continues in a dynamic fashion with responses to the rapidly changing physiologic status of the patient.
Further fluid resuscitation was guided by dynamic predictors (pulse pressure variation) in patients under mechanical ventilation, except in patients with atrial fibrillation [ 22].
Briefly, fluid resuscitation was conducted according to dynamic indices of preload (pulse pressure variations and stroke volume variations) and echocardiography data analysis.
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