2014
DOI: 10.1586/14787210.2014.945431
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Prognostic markers of pediatric meningococcal sepsis

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Cited by 7 publications
(9 citation statements)
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References 30 publications
(28 reference statements)
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“…These might include (680, 950) PAI-1, sE-selectin (951), and sVCAM-1 (921). In particular, Presepsin looks like a potentially useful marker for sepsis (888, 889, 952961), but we can find no literature on its use as a PE biomarker, where we predict that it may also be raised.…”
Section: Proteomic and Similar Biomarkers – Circulating And Placentalmentioning
confidence: 99%
“…These might include (680, 950) PAI-1, sE-selectin (951), and sVCAM-1 (921). In particular, Presepsin looks like a potentially useful marker for sepsis (888, 889, 952961), but we can find no literature on its use as a PE biomarker, where we predict that it may also be raised.…”
Section: Proteomic and Similar Biomarkers – Circulating And Placentalmentioning
confidence: 99%
“…There are many well-known inflammatory biomarkers that are part of the innate (and possibly trained [641]) immune response, such as the inflammatory cytokines CRP (cf. [642; 643]), IL-6 [644], IL-ip [645], TNFα [646], and macrophage migration inhibitory factor (MIF) [647], that are also all biomarkers of infection [648652]. Certainly the fact that these increase in PE is consistent with a role for an infectious component.…”
Section: Effects Of Lps and Other Microbial Antigens On Disrupting Trmentioning
confidence: 99%
“…Interestingly, recent studies suggest that nonspecific inflammation and abnormal expression of inflammatory cytokines rather than microbial infection leads to organ damage [17]. Early diagnosis and intervention has been shown to reduce the risk of sepsis-related mortality [2,18]. In our study, the overall mortality was relatively high, which might be due to the high percentage (40.5%) of post-surgery patients.…”
Section: Discussionmentioning
confidence: 54%
“…The complexity of interactions driving host immune response and genetic variation suggests that multiple biomarkers are involved in predicting outcomes. Stratification of pediatric patients based on their genome expression is a reasonable approach to identify high- and low-risk groups [2,4]. In our study, we used multivariate logistic regression to calculate each index before using the three markers: (PCT & hs-CRP & PSP) = −12.3125 + 0.068404*PCT + 0.058065*hs-CRP + 0.012057*PSP.…”
Section: Discussionmentioning
confidence: 99%
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