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Predictive value of dynamic plasma biomarkers for clinical outcomes in pediatric sepsis
Jiping Tian1, Jing Song1, Fudong Wang1
1Department of Pediatrics, Affiliated Hospital of Yangzhou University, Yangzhou, Jiangsu Province, China.
Insights
Biomarkers like C-reactive protein (CRP), procalcitonin (PCT), and interleukin-6 (IL-6) can help predict severity in pediatric sepsis. Their initial levels and week-long changes correlate with organ dysfunction and hospitalization length.
Area of Science:
- Pediatric critical care medicine
- Infectious diseases
- Biomarker research
Background:
- Pediatric sepsis is a complex condition with limited data on early biomarker behavior.
- Understanding biomarker kinetics is crucial for assessing disease severity and prognosis in children.
Purpose of the Study:
- To investigate the relationship between early biomarker levels and changes over time with disease severity in pediatric sepsis.
- To evaluate the utility of common inflammatory markers for risk stratification in pediatric sepsis patients.
Main Methods:
- Prospective enrollment of 80 children with sepsis.
- Measurement of C-reactive protein (CRP), procalcitonin (PCT), ESR, IL-6, SAA, and D-dimer at admission, 72 hours, and Day 7.
- Correlation of biomarker data with pediatric Sequential Organ Failure Assessment (pSOFA) scores and length of stay (LOS).
Main Results:
- Admission CRP and PCT levels were higher in bacterial versus viral sepsis.
- All measured biomarkers, except ESR, significantly decreased over seven days.
- Higher admission levels of CRP, PCT, IL-6, and D-dimer correlated with greater organ dysfunction.
- Steeper declines in CRP, PCT, IL-6, and D-dimer correlated with improved pSOFA scores.
- A two-step algorithm using admission markers and early changes accurately identified children requiring ICU care or prolonged hospitalization.
Conclusions:
- Initial elevations and early declines in CRP, PCT, IL-6, and D-dimer reflect organ dysfunction and hospitalization duration in pediatric sepsis.
- Serial monitoring of these biomarkers can enhance early risk stratification and guide therapeutic decisions in pediatric sepsis.
Background:
Pediatric sepsis is a heterogeneous syndrome; data on early biomarker kinetics and their link to severity are scarce.
Methods:
We prospectively enrolled 80 children with sepsis (March 2022 - June 2024). C-reactive protein (CRP), procalcitonin (PCT), erythrocyte sedimentation rate (ESR), interleukin-6 (IL-6), serum amyloid-A (SAA), and D-dimer were measured at admission (T0), 72 hours (T1) later and on Day 7 (T2). Disease severity was assessed using the pediatric Sequential Organ Failure Assessment (pSOFA); length of stay (LOS) was recorded. Baseline values, Day 7 levels, and changes Δ(T2-T0) were correlated with pSOFA and LOS.
Results:
Baseline inflammatory profiles differed by etiology: median CRP and PCT on admission were roughly doubled in bacterial versus viral disease, while IL‑6 was highest in respiratory and abdominal infections. Nevertheless, all six markers decreased significantly over seven days (p ≤ 0.015) and the proportional declines were uniform across pathogens or foci (interaction p > 0.18). Higher admission CRP, PCT, IL‑6 and D‑dimer modestly correlated with greater organ dysfunction (r ≤ 0.55), whereas steeper week‑long falls in the same markers tracked with larger pSOFA improvement (r = -0.41 to -0.53; all p ≤ 0.002). SAA showed a weaker inverse association (r = -0.32, p = 0.008), whereas the decline in ESR was not significant. A pragmatic two‑step algorithm (admission CRP ≥ 60 mg/L, PCT ≥ 3 ng/mL, IL‑6 ≥ 200 pg/mL or D‑dimer ≥ 1.5 mg/L; plus a ≥ 50% drop in IL‑6 or PCT within 72 h) identified children who ultimately required intensive care unit (ICU) care or stayed ≥ 7 days with an area‑under‑the‑curve of 0.91.
Conclusions:
Both initial elevations and early declines in CRP, PCT, IL-6 and D-dimer mirror organ dysfunction and hospitalization duration in pediatric sepsis. Serial monitoring of these readily available markers may improve early risk stratification and guide therapy.
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