Prediction of mortality in patients with major burns: clinical and biochemical factors

Ann Plast Surg. 2011 Sep;67(3):226-31. doi: 10.1097/SAP.0b013e3182259304.

Abstract

Objective: The plasma electric charge, in addition to clinical factors, was considered to improve the prediction of mortality in patients with major burns.

Methods: A software called PICAL 5.0 was used to determinate the plasma electric charge in 143 patients with major burns from the intensive care burn unit-Unfallkrankenhaus Berlin (Germany). In addition, a retrospective study with these patients was developed involving: (1) biochemical variables in the first 48 hours: pH value, [albumin], [Ca(2+)], etc; (2) clinical aspects: age, total body surface area and full-thickness surface area burned, diagnosis of inhalation injury, etc. A mortality predictive equation was calculated from univariate and multivariate logistic regression analyses in a set of randomly chosen participants and applied to a validation set of 35 participants.

Results: The importance of each ion and protein for the equilibrium in the plasma charge is determinant. In statistical multivariate analysis, age, total body surface area burned, pH value, and [Mg(2+)] were independently associated with mortality.

Conclusions: [Na(+)], [HCO(3)(-)] (bicarbonate), and [Cl(-)] are the ions contributing the most to the plasma charge equilibrium in patients with major burns; a loss of 50% of plasma proteins in the first 48 hours is equivalent to the loss of 1 mmol/L of HCO(3)(-). Moreover, the consideration of plasma biochemical parameters in the first 48 hours may improve the mortality predictive equation of mortality for burned victims.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Acid-Base Imbalance / blood
  • Acid-Base Imbalance / etiology
  • Adult
  • Age Factors
  • Aged
  • Biomarkers / blood
  • Burns / blood
  • Burns / complications
  • Burns / mortality*
  • Burns / pathology
  • Electrophysiological Phenomena
  • Female
  • Humans
  • Hydrogen-Ion Concentration
  • Logistic Models
  • Male
  • Middle Aged
  • Models, Biological
  • Multivariate Analysis
  • Plasma / chemistry
  • Prognosis
  • Retrospective Studies
  • Risk Factors
  • Software

Substances

  • Biomarkers