26 research outputs found
Endotheliopathy is associated with higher levels of cell-free DNA following major trauma: A prospective observational study - Fig 2
<p><b>Association between (a) syndecan-1 and (b) thrombomodulin and cell-free DNA (cfDNA) according to time points.</b><i>P</i>-values are indicated according to Spearman’s rank correlation coefficient. For both concentrations of (a) syndecan-1 and (b) thrombomodulin, there is a significant correlation with concentration of cfDNA at both time points.</p
Patient characteristics according to patient cohort.
<p>Patient characteristics according to patient cohort.</p
Biomarker concentrations at both time points compared between patients that received a blood transfusion and those who did not.
<p>Biomarker concentrations at both time points compared between patients that received a blood transfusion and those who did not.</p
Endotheliopathy is associated with higher levels of cell-free DNA following major trauma: A prospective observational study - Fig 2
<p><b>Association between (a) syndecan-1 and (b) thrombomodulin and cell-free DNA (cfDNA) according to time points.</b><i>P</i>-values are indicated according to Spearman’s rank correlation coefficient. For both concentrations of (a) syndecan-1 and (b) thrombomodulin, there is a significant correlation with concentration of cfDNA at both time points.</p
Correlations between biomarker concentrations at both pre-hospital (<1h) and in-hospital (1-16h) time points and admission INR and PTT ratios.
<p>Correlations between biomarker concentrations at both pre-hospital (<1h) and in-hospital (1-16h) time points and admission INR and PTT ratios.</p
Biomarker concentrations at both time points compared between patients that had surgery between time points and those who did not.
<p>Biomarker concentrations at both time points compared between patients that had surgery between time points and those who did not.</p
Patient characteristics according to requirement for transfusion.
<p>Patient characteristics according to requirement for transfusion.</p
Correlations between biomarker concentrations at both pre-hospital (<1h) and in-hospital (1-16h) time points and length of stay outcomes.
<p>Correlations between biomarker concentrations at both pre-hospital (<1h) and in-hospital (1-16h) time points and length of stay outcomes.</p
Flow diagram of study patients and samples available for analysis.
<p>Flow diagram of study patients and samples available for analysis.</p
Prehospital immune responses and development of multiple organ dysfunction syndrome following traumatic injury: A prospective cohort study
<div><p>Background</p><p>Almost all studies that have investigated the immune response to trauma have analysed blood samples acquired post-hospital admission. Thus, we know little of the immune status of patients in the immediate postinjury phase and how this might influence patient outcomes. The objective of this study was therefore to comprehensively assess the ultra-early, within 1-hour, immune response to trauma and perform an exploratory analysis of its relationship with the development of multiple organ dysfunction syndrome (MODS).</p><p>Methods and findings</p><p>The immune and inflammatory response to trauma was analysed in 89 adult trauma patients (mean age 41 years, range 18–90 years, 75 males) with a mean injury severity score (ISS) of 24 (range 9–66), from whom blood samples were acquired within 1 hour of injury (mean time to sample 42 minutes, range 17–60 minutes). Within minutes of trauma, a comprehensive leukocytosis, elevated serum pro- and anti-inflammatory cytokines, and evidence of innate cell activation that included neutrophil extracellular trap generation and elevated surface expression of toll-like receptor 2 and CD11b on monocytes and neutrophils, respectively, were observed. Features consistent with immune compromise were also detected, notably elevated numbers of immune suppressive CD16<sup>BRIGHT</sup> CD62L<sup>DIM</sup> neutrophils (82.07 x 10<sup>6</sup>/l ± 18.94 control versus 1,092 x 10<sup>6</sup>/l ± 165 trauma, <i>p</i> < 0.0005) and CD14<sup>+</sup>HLA-DR<sup>low/−</sup> monocytes (34.96 x 10<sup>6</sup>/l ± 4.48 control versus 95.72 x 10<sup>6</sup>/l ± 8.0 trauma, <i>p</i> < 0.05) and reduced leukocyte cytokine secretion in response to lipopolysaccharide stimulation. Exploratory analysis via binary logistic regression found a potential association between absolute natural killer T (NKT) cell numbers and the subsequent development of MODS. Study limitations include the relatively small sample size and the absence of data relating to adaptive immune cell function.</p><p>Conclusions</p><p>Our study highlighted the dynamic and complex nature of the immune response to trauma, with immune alterations consistent with both activation and suppression evident within 1 hour of injury. The relationship of these changes, especially in NKT cell numbers, to patient outcomes such as MODS warrants further investigation.</p></div