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New multifactorial burn resuscitation formula offers superior predictive reliability in comparison to established algorithms. | LitMetric

AI Article Synopsis

Article Abstract

Unlabelled: The Parkland-Baxter formula is a widely utilized resuscitation guideline for the initial management of fluid deficits in burn victims. Implementation of resuscitation formulas has helped to reduce the incidence of shock and hypovolemic organ failure such as acute renal failure in the setting of burn trauma. However, it has been shown that indiscriminate implementation of these formulas may inappropriately suit individual patient's requirements. In our experience resuscitation by the Parkland formula often forced corrections in order to reach predefined resuscitation goals.

Objective: Given these findings we felt the need to refine formula based resuscitation strategies.

Patients And Measurements: Reviewing a subset of 81 burn admissions we screened for predictive parameters in addition to total body surface area burned (TBSA burned) and body weight influencing resuscitation volume requirements.

Design: Using multivariate linear regression analysis (MRA) various parameters were integrated in a stepwise forward mathematical selection procedure resulting in a modified resuscitation formula.

Main Results: A new formula including body weight, TBSA burned, inhalation injury (IHI), high blood alcohol level (BAL) and a compensating factor for advanced age was set up. The new formula was compared to the original Parkland formula. Both were assessed for predictive reliability (PR(+/-20%)). Using this strategy we were able to improve PR(+/-20%) from 28.4% to 51.9%.

Conclusions: Optimal fluid resuscitation of severe burn victims is a complex clinical challenge. Rigid-formula based resuscitation schemes often fail to match all subtleties of current clinical practice but need to provide a reliable starting point for fluid resuscitation. We demonstrate a new multifactorial formula resulting in a better guide to initial fluid resuscitation.

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Source
http://dx.doi.org/10.1016/j.burns.2008.06.006DOI Listing

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