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C-reactive protein accurately predicts severity of acute pancreatitis in children
Hamish Walker1, James Melling2, Matthew Jones1
1Department of Paediatric Surgery, Alder Hey Children's NHS Foundation Trust, Eaton Rd, Liverpool, L12 2AP, United Kingdom.
Insights
C-reactive protein (CRP) levels within 48 hours of admission can accurately predict severe acute pancreatitis in children. This biomarker is more effective than current scoring systems for pediatric patients.
Area of Science:
- Pediatric Surgery
- Biomarker Discovery
- Clinical Diagnostics
Background:
- Predicting acute pancreatitis severity in children is crucial for optimizing care and reducing hospital stays.
- Existing adult scoring systems are inadequate for predicting severity in pediatric cases.
- Accurate severity prediction in pediatric acute pancreatitis remains a clinical challenge.
Purpose of the Study:
- To identify reliable biomarkers for predicting acute pancreatitis severity in children.
- To compare the efficacy of potential biomarkers against the modified Glasgow Pancreas Score.
Main Methods:
- Retrospective analysis of 59 children with first-episode acute pancreatitis (2002-2020).
- Serum C-reactive protein (CRP) levels at 48 hours post-admission were analyzed.
- Receiver Operating Curve (ROC) analysis was used to evaluate biomarker performance, with Area Under Curve (AUC) > 0.90 indicating excellent prediction.
Main Results:
- C-reactive protein (CRP) demonstrated the highest accuracy in predicting severity, with an AUC of 0.92.
- An optimal CRP cutoff of 107.5 mg/L yielded 91% sensitivity and 84% specificity.
- CRP outperformed the modified Glasgow Pancreas Score, which had 36% sensitivity and 100% specificity.
Conclusions:
- A CRP level exceeding 108 mg/L within 48 hours of admission is a highly accurate predictor of severe acute pancreatitis in children.
- This CRP threshold offers superior predictive accuracy compared to current pediatric scoring systems.
- CRP serves as a valuable and accessible tool for early identification of severe cases in pediatric acute pancreatitis.
Introduction:
Predicting severity of acute pancreatitis enables optimization of care, reducing morbidity and length of stay. Modified adult scoring systems have not been able to adequately predict severity in children.
Methods:
This was a retrospective study of children presenting with a first episode of acute pancreatitis from 2002 to 2020 in a single tertiary paediatric surgical centre. Serum markers including CRP at 48 h of admission were analysed. Promising biomarkers underwent ROC (Receiver Operating Curve) analysis, and these were compared to the modified Glasgow Pancreas Score. An AUC (Area Under Curve) > 0.90 was taken as an excellent predictor of severity.
Results:
Data of 59 children were analysed, median age 13 years. 22 patients (37%) had a severe episode. ROC analysis demonstrated CRP as the best predictor of severity giving an AUC of 0.92. Optimum cut off value for CRP was 107.5 mg/L (p < 0.0001) producing sensitivity of 91%, specificity of 84%. This was superior to the modified Glasgow Pancreas score, which produced a sensitivity of 36% and specificity of 100%.
Conclusion:
We have shown that a CRP value of > 108 mg/L within 48 h of admission can be used to predict severity of acute pancreatitis in children with greater accuracy than current scoring systems.
Type Of Study:
Diagnostic test.
Level Of Evidence:
Level I.
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