2010
DOI: 10.1186/cc8898
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Gram-negative bacteremia induces greater magnitude of inflammatory response than Gram-positive bacteremia

Abstract: IntroductionBacteremia is recognized as a critical condition that influences the outcome of sepsis. Although large-scale surveillance studies of bacterial species causing bacteremia have been published, the pathophysiological differences in bacteremias with different causative bacterial species remain unclear. The objective of the present study is to investigate the differences in pathophysiology and the clinical course of bacteremia caused by different bacterial species.MethodsWe reviewed the medical records … Show more

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Cited by 168 publications
(154 citation statements)
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“…These differences are not so pronounced with regard to IL-6, but Gram-negative bacteria also stimulate IL-6 production stronger than Gram-positive bacteria, which is in line with clinical observations in sepsis [25,26]. Therefore, it seems as if the composition of the bacterial cell wall essentially influences proinflammatory cytokine production in the thymus, but not the frequencies of IL-17 secreting cells.…”
Section: Cd8supporting
confidence: 79%
“…These differences are not so pronounced with regard to IL-6, but Gram-negative bacteria also stimulate IL-6 production stronger than Gram-positive bacteria, which is in line with clinical observations in sepsis [25,26]. Therefore, it seems as if the composition of the bacterial cell wall essentially influences proinflammatory cytokine production in the thymus, but not the frequencies of IL-17 secreting cells.…”
Section: Cd8supporting
confidence: 79%
“…This will require a considerably larger cohort to determine whether responses to treatment in the culture-negative group can be further stratified and highlights the need for a more accurate cut-off value is determined by receiver operating characteristic analysis, and the statistical difference between the two curves is analyzed by the log-rank test. [24][25][26] there is no rapid diagnostic test that would guide treatment and allow predictive risk modeling at the time of presentation. Here, immune fingerprints in Gram-positive infections were markedly different from those in Gram-negative infections and were indicative of a relatively large underlying T cell component with higher numbers of CD4 + and CD8 + T cells and elevated levels of CXCL10, IFN-g, and IL-22.…”
Section: Discussionmentioning
confidence: 99%
“…[24][25][26] Our earlier findings indicated that elevated peritoneal frequencies of gd T cells within the total T cell population on the day of presentation were associated with subsequent technique failure. 20 Here, AUROC calculations identified Vd2 + T cell frequencies $4.3% as excellent discriminator that predicted short-term technique failure within the first 1-3 months (Figure 4), with an overall correctness of 94% at day 30 (4 of 48 patients with technique failure) and 77% at day 90 (9 of 48 patients) (Supplemental Tables 15-18).…”
Section: Vd2mentioning
confidence: 99%
“…This may be associated with high cytokine production potential of Gram-negative microorganisms (17,18).…”
Section: Discussionmentioning
confidence: 99%