necrotizing soft tissue infection
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2021 ◽  
pp. 1-11
Author(s):  
Morten Hedetoft ◽  
Martin Bruun Madsen ◽  
Cecilie Bo Hansen ◽  
Ole Hyldegaard ◽  
Peter Garred

The hyperinflammatory burden is immense in necrotizing soft-tissue infection (NSTI). The complement system is a key during the innate immune response and may be a promising target to reduce the inflammatory response, potentially improving the clinical outcome. However, complement activation and its association to disease severity and survival remain unknown in NSTI. Therefore, we prospectively enrolled patients with NSTI and sampled blood at admission and once daily for the following 3 days. Plasma C4c, C4d, C3bc, and C3dg and the terminal complement complex (TCC) were evaluated using ELISA techniques. In total, 242 patients were included with a median age of 62 years, with a 60% male predominance. All-cause 30-day mortality was 17% (95% confidence interval [CI] 13–23) with a follow-up of &#x3e;98%. C4c and C3dg were negatively correlated with Simplified Acute Physiology Score II (<i>Rho</i> −0.22, <i>p</i> &#x3c; 0.001 and <i>Rho</i> −0.17, <i>p</i> = 0.01). Patients with septic shock (<i>n</i> = 114, 47%) had higher levels of baseline TCC than those in non-shock patients (18 vs. 14, <i>p</i> &#x3c; 0.001). TCC correlated with the Sequential Organ Failure Assessment (SOFA) score (<i>Rho</i> 0.19, <i>p</i> = 0.004). In multivariate Cox regression analysis (adjusted for age, sex, comorbidity, and SOFA score), high baseline C4d (&#x3e;20 ng/mL) and the combination of high C4d and TCC (&#x3e;31 arbitrary units/mL) were associated with increased 30-day mortality (hazard ratio [HR] 3.26, 95% CI 1.56–6.81 and HR 5.12, 95% CI 2.15–12.23, respectively). High levels of both C4d and TCC demonstrated a negative predictive value of 0.87. In conclusion, we found that in patients with NSTI, complement activation correlated with the severity of the disease. High baseline C4d and combination of high C4d and TCC are associated with increased 30-day mortality. Low baseline C4d or TCC indicates a higher probability of survival.


2021 ◽  
Vol Publish Ahead of Print ◽  
Author(s):  
David M Heath ◽  
Braden J Boyer ◽  
Abdullah N Ghali ◽  
David A Momtaz ◽  
Sarah C Nagel ◽  
...  

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Morten Hedetoft ◽  
Marco Bo Hansen ◽  
Martin Bruun Madsen ◽  
Julia Sidenius Johansen ◽  
Ole Hyldegaard

Abstract Background Necrotizing soft-tissue infection (NSTI) is a severe and fast-progressing bacterial infection. Prognostic biomarkers may provide valuable information in treatment guidance and decision-making, but none have provided sufficient robustness to have a clinical impact. YKL-40 may reflect the ongoing pathological inflammatory processes more accurately than traditional biomarkers as it is secreted by the activated immune cells, but its prognostic yields in NSTI remains unknown. For this purpose, we investigated the association between plasma YKL-40 and 30-day mortality in patients with NSTI, and assessed its value as a marker of disease severity. Methods We determined plasma YKL-40 levels in patients with NSTI (n = 161) and age-sex matched controls (n = 65) upon admission and at day 1, 2 and 3. Results Baseline plasma YKL-40 was 1191 ng/mL in patients with NSTI compared with 40 ng/mL in controls (p < 0.001). YKL-40 was found to be significantly higher in patients with septic shock (1942 vs. 720 ng/mL, p < 0.001), and in patients receiving renal-replacement therapy (2382 vs. 1041 ng/mL, p < 0.001). YKL-40 correlated with Simplified Acute Physiology Score II (Rho 0.33, p < 0.001). Baseline YKL-40 above 1840 ng/mL was associated with increased risk of 30-day mortality in age-sex-comorbidity adjusted analysis (OR 3.77, 95% CI; 1.59–9.24, p = 0.003), but after further adjustment for Simplified Acute Physiology Score II no association was found between YKL-40 and early mortality. Conclusion High plasma YKL-40 to be associated with disease severity, renal-replacement therapy and risk of death in patients with NSTI. However, YKL-40 is not an independent predictor of 30-day mortality.


2021 ◽  
Author(s):  
Anthony Gebran ◽  
Ander Dorken Gallastegi ◽  
Apostolos Gaitanidis ◽  
David King ◽  
Peter Fagenholz ◽  
...  

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