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Cirugía Plástica Ibero-Latinoamericana

versão On-line ISSN 1989-2055versão impressa ISSN 0376-7892

Resumo

MALDONADO, A.A.; KUNTSCHER, M.  e  SILLERO, A.. Analysis of biochemical parameters in major burn patients: new prognostic factors. From the basic to the clinical research. Cir. plást. iberolatinoam. [online]. 2012, vol.38, n.4, pp.305-312. ISSN 1989-2055.  https://dx.doi.org/10.4321/S0376-78922012000400001.

Our objective is the calculation of the plasma electrical charge in major burn patients, by means of a computer programme focussed on predicting patient mortality. The PICAL computer software (own development) starts off with the objective of calculating the plasmatic charge and the influence of ions and proteins applied to 143 patients in the Major Burn Patient Unit in the Unfallkrankenhaus Hospital in Berlin (Germany). A statistical study is carried out to define patient mortality once the previous calculations have been performed, considering: 1) their biochemical parameters in the first 48 hours, 2) their clinical factors: age, total burned surface area, depth of the burn, presence of inhalation syndrome, etc. A logistic regression analysis was made using these data calculating the mortality predictive function, which was validated by a group of 35 new patients. The importance of each plasmatic ion and proteins was calculated in the electrical balance of the patients with major burns. Age, burned surface area, pH and [Mg2+] were introduced for the study of mortality in these patients via statistical analysis. From the study it was confirmed that anions [HCO3¯] and [Cl¯], together with cation [Na+] are the ions with most influence on the plasmatic balance of major burn patients. Protein concentration has a lower incidence on this balance: a loss of 50 % in albumin concentration during the first 48 hours is equivalent to a loss of 1 mmol/l in the [HCO3¯] concentration. It can also be stated that the use of parameters pH and [Mg2+] can improve mortality prediction in these patients.

Palavras-chave : Burn patients; Mortality prediction.

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