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Free hemoglobin concentration in severe sepsis: methods of measurement and prediction of outcome

INTRODUCTION: Hemolysis can be induced in sepsis via various mechanisms, its pathophysiological importance has been demonstrated in experimental sepsis. However, no data on free hemoglobin concentrations in human sepsis are available. In the present study we measured free hemoglobin in patients with...

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Autores principales: Adamzik, Michael, Hamburger, Tim, Petrat, Frank, Peters, Jürgen, de Groot, Herbert, Hartmann, Matthias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3580706/
https://www.ncbi.nlm.nih.gov/pubmed/22800762
http://dx.doi.org/10.1186/cc11425
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author Adamzik, Michael
Hamburger, Tim
Petrat, Frank
Peters, Jürgen
de Groot, Herbert
Hartmann, Matthias
author_facet Adamzik, Michael
Hamburger, Tim
Petrat, Frank
Peters, Jürgen
de Groot, Herbert
Hartmann, Matthias
author_sort Adamzik, Michael
collection PubMed
description INTRODUCTION: Hemolysis can be induced in sepsis via various mechanisms, its pathophysiological importance has been demonstrated in experimental sepsis. However, no data on free hemoglobin concentrations in human sepsis are available. In the present study we measured free hemoglobin in patients with severe sepsis as well as in postoperative patients using four methods. It was our aim to determine the potential value of free hemoglobin as a biomarker for diagnosis and outcome of severe sepsis in critical illness. METHODS: Plasma concentration of free hemoglobin was determined in patients with severe sepsis (n = 161) and postoperative patients (n = 136) on day 1 of diagnosis and surgery. For the measurement of free hemoglobin, an enzyme linked immunosorbent assay and three spectrophotometric algorithms were used. Moreover, SAPS II- and SOFA scores as well as procalcitonin concentration and outcome were determined. Kaplan-Meier analysis was performed and odds ratios were determined after classification of free hemoglobin concentrations in a high and low concentration group according to the median. For statistical evaluation the Mann-Whitney test and logistic regression analysis were used. RESULTS: In non-survivors of severe sepsis, free hemoglobin concentration was twice the concentration compared to survivors. Thirty-day survival of patients, as evidenced by Kaplan-Meier analysis, was markedly lower in patients with high free hemoglobin concentration than in patients with low free hemoglobin concentration. Best discrimination of outcome was achieved with the spectrophotometric method of Harboe (51.3% vs. 86.4% survival, p < 0.001; odds ratio 6.1). Multivariate analysis including free hemoglobin, age, SAPS II- and SOFA-score and procalcitonin demonstrated that free hemoglobin, as determined by all 4 methods, was the best and an independent predictor for death in severe sepsis (p = 0.022 to p < 0.001). Free hemoglobin concentrations were not significantly different in postoperative and septic patients in three of four assays. Thus, free hemoglobin can not be used to diagnose severe sepsis in critical illness. CONCLUSIONS: Free hemoglobin is an important new predictor of survival in severe sepsis.
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spelling pubmed-35807062013-02-26 Free hemoglobin concentration in severe sepsis: methods of measurement and prediction of outcome Adamzik, Michael Hamburger, Tim Petrat, Frank Peters, Jürgen de Groot, Herbert Hartmann, Matthias Crit Care Research INTRODUCTION: Hemolysis can be induced in sepsis via various mechanisms, its pathophysiological importance has been demonstrated in experimental sepsis. However, no data on free hemoglobin concentrations in human sepsis are available. In the present study we measured free hemoglobin in patients with severe sepsis as well as in postoperative patients using four methods. It was our aim to determine the potential value of free hemoglobin as a biomarker for diagnosis and outcome of severe sepsis in critical illness. METHODS: Plasma concentration of free hemoglobin was determined in patients with severe sepsis (n = 161) and postoperative patients (n = 136) on day 1 of diagnosis and surgery. For the measurement of free hemoglobin, an enzyme linked immunosorbent assay and three spectrophotometric algorithms were used. Moreover, SAPS II- and SOFA scores as well as procalcitonin concentration and outcome were determined. Kaplan-Meier analysis was performed and odds ratios were determined after classification of free hemoglobin concentrations in a high and low concentration group according to the median. For statistical evaluation the Mann-Whitney test and logistic regression analysis were used. RESULTS: In non-survivors of severe sepsis, free hemoglobin concentration was twice the concentration compared to survivors. Thirty-day survival of patients, as evidenced by Kaplan-Meier analysis, was markedly lower in patients with high free hemoglobin concentration than in patients with low free hemoglobin concentration. Best discrimination of outcome was achieved with the spectrophotometric method of Harboe (51.3% vs. 86.4% survival, p < 0.001; odds ratio 6.1). Multivariate analysis including free hemoglobin, age, SAPS II- and SOFA-score and procalcitonin demonstrated that free hemoglobin, as determined by all 4 methods, was the best and an independent predictor for death in severe sepsis (p = 0.022 to p < 0.001). Free hemoglobin concentrations were not significantly different in postoperative and septic patients in three of four assays. Thus, free hemoglobin can not be used to diagnose severe sepsis in critical illness. CONCLUSIONS: Free hemoglobin is an important new predictor of survival in severe sepsis. BioMed Central 2012 2012-07-16 /pmc/articles/PMC3580706/ /pubmed/22800762 http://dx.doi.org/10.1186/cc11425 Text en Copyright ©2012 Adamzik et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Adamzik, Michael
Hamburger, Tim
Petrat, Frank
Peters, Jürgen
de Groot, Herbert
Hartmann, Matthias
Free hemoglobin concentration in severe sepsis: methods of measurement and prediction of outcome
title Free hemoglobin concentration in severe sepsis: methods of measurement and prediction of outcome
title_full Free hemoglobin concentration in severe sepsis: methods of measurement and prediction of outcome
title_fullStr Free hemoglobin concentration in severe sepsis: methods of measurement and prediction of outcome
title_full_unstemmed Free hemoglobin concentration in severe sepsis: methods of measurement and prediction of outcome
title_short Free hemoglobin concentration in severe sepsis: methods of measurement and prediction of outcome
title_sort free hemoglobin concentration in severe sepsis: methods of measurement and prediction of outcome
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3580706/
https://www.ncbi.nlm.nih.gov/pubmed/22800762
http://dx.doi.org/10.1186/cc11425
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