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Partitioning evolutive standard base excess determinants in septic shock patients.
Park, Marcelo; Noritomi, Danilo Teixeira; Toledo-Maciel, Alexandre; Azevedo, Luciano Cesar Pontes de; Pizzo, Vladimir Ribeiro; Cruz-Neto, Luiz Monteiro da.
Afiliação
  • Park M; Intensive Care Unit, Emergency Department, Hospital das Clínicas, University of São Paulo Medical School.
  • Noritomi DT; Intensive Care Unit, Emergency Department, Hospital das Clínicas, University of São Paulo Medical School.
  • Toledo-Maciel A; Intensive Care Unit, Emergency Department, Hospital das Clínicas, University of São Paulo Medical School.
  • Azevedo LC; Intensive Care Unit, Emergency Department, Hospital das Clínicas, University of São Paulo Medical School.
  • Pizzo VR; Intensive Care Unit, Emergency Department, Hospital das Clínicas, University of São Paulo Medical School.
  • Cruz-Neto LM; Intensive Care Unit, Emergency Department, Hospital das Clínicas, University of São Paulo Medical School.
Rev Bras Ter Intensiva ; 19(4): 437-43, 2007 Dec.
Article em En | MEDLINE | ID: mdl-25310160
BACKGROUND AND OBJECTIVES: The amount of metabolic acidosis measured through the standard base excess (SBE) has been shown to be an outcome marker and its improvement has been associated with better survival. We studied the mechanism of standard base excess variation in the first three days of intensive care unit (ICU) stay through the evaluation of independent variables of physico-chemical approach. METHODS: Data were retrieved from our prospective collected data base from patients with diagnosis of septic shock, daily up to the third day after the ICU admission. Single correlations between SBE and independent variables were performed as well as a mathematical multilinear model was built to disclose the SBE variation determinants. RESULTS: We have shown that in septic shock patients the standard base excess variation during the first three days of ICU stay is weakly correlated to strong ion gap (SIG), lactate, creatinin and PaCO2 when individually analyzed. Analyzing concomitantly those independent variables, we built a mathematical model with a stepwise multilinear regression composed by apparent strong ion difference (SIDa), SIG, PaCO2, albumin and diuresis that resulted in a R² coefficient of 0.866 to determine SBE variation. CONCLUSIONS: Variations of metabolic acidosis measured through the standard base excess in septic shock patients when analyzed until the third day after intensive care unit admission, is resultant of interaction of several independent determinants as PaCO2, diuresis, SIG, SIDa and albumin.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Rev Bras Ter Intensiva Ano de publicação: 2007 Tipo de documento: Article País de publicação: Brasil
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Rev Bras Ter Intensiva Ano de publicação: 2007 Tipo de documento: Article País de publicação: Brasil