2012
DOI: 10.1016/j.cyto.2011.12.002
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A combined score of pro- and anti-inflammatory interleukins improves mortality prediction in severe sepsis

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Cited by 146 publications
(124 citation statements)
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“…sNGAL is associated with serum IL-6 Serum IL-6, an important inflammatory sepsis cytokine, is used as a prognostic prediction and early biomarker of patients with sepsis (32)(33)(34). In animal experiments, Otto et al (18) explored sNGAL and several pro-and anti-inflammatory cytokines in a CLP mouse model.…”
Section: Discussionmentioning
confidence: 98%
“…sNGAL is associated with serum IL-6 Serum IL-6, an important inflammatory sepsis cytokine, is used as a prognostic prediction and early biomarker of patients with sepsis (32)(33)(34). In animal experiments, Otto et al (18) explored sNGAL and several pro-and anti-inflammatory cytokines in a CLP mouse model.…”
Section: Discussionmentioning
confidence: 98%
“…Although baseline concentrations of plasma cytokines were similar between trained and untrained mice, the sepsis-associated increase of circulating IL-6 and IL-10 was reduced in trained mice. Clinical studies have shown strong association between higher plasma levels of plasma cytokines IL-6 and IL-10 and the prevalence of multiple organ failure and mortality in sepsis (28)(29)(30). We assume that physical training could induce specific adaptations in diverse cell types and tissues leading to either an initial reduction of cytokine release or a diminished response to the "cytokine storm," which in turn might protect the animals against sepsis-associated organ injury and death.…”
Section: Discussionmentioning
confidence: 99%
“…For the purposes of this analysis, we used quartiles in order to simultaneously compare several markers without losing interpretability by log-transforming the data (Grund and Sabin, 2010). Several other clinical research studies have generated similar aggregate scores to evaluate inflammatory load by establishing 1) a cut-point above and below the 75 th percentile (Andaluz-Ojeda et al, 2012; Correia et al, 2010; Juengst et al 2014), 2) cut-points below the 25 th , between 25 th –75 th percentile, and greater than 75 th percentile (Wakelkamp et al, 2003; Boelen et al, 1995), or 3) quartiles (Kumar et al 2014). …”
Section: Methodsmentioning
confidence: 99%