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A recurrence prediction model based on serological indicators in children with acute pancreatitis without
Xueyi Hu1,2, Tao Zhang1,2, Yuan Cheng1,2
1Children's Medical Center of Anhui Medical University, Anhui Provincial Children's Hospital, Department of Pediatric General Surgery, Hefei, Anhui, China.
Insights
High-density lipoprotein (HDL) protects against recurrent acute pancreatitis (RAP) in children, while elevated blood glucose (BG) and D-dimer are risk factors. Combined detection aids early RAP diagnosis and targeted intervention.
Area of Science:
- Pediatric Gastroenterology
- Biomarker Discovery
- Clinical Diagnostics
Background:
- Recurrent acute pancreatitis (RAP) in children poses significant clinical challenges.
- Early identification of high-risk children is crucial for timely intervention and improved outcomes.
Purpose of the Study:
- To investigate the key factors influencing the recurrence of acute pancreatitis (AP) in pediatric patients.
- To establish a reliable reference for early clinical identification of children at high risk for RAP.
Main Methods:
- A retrospective case-control study involving 101 children hospitalized with AP.
- Comparison of demographic data and serological indicators between single AP and RAP groups.
- Multivariate logistic regression and ROC curve analysis to identify independent risk factors and assess diagnostic value.
Main Results:
- High-density lipoprotein (HDL), blood glucose (BG), and D-dimer were identified as independent factors for RAP.
- Multivariate analysis revealed HDL as a protective factor, while BG and D-dimer were risk factors.
- A combined diagnostic model using HDL, BG, and D-dimer demonstrated high diagnostic accuracy (AUC=0.943) with sensitivity of 0.82 and specificity of 0.84.
Conclusions:
- HDL, BG, and D-dimer levels are significant predictors of RAP in children.
- Clinical combined detection of these indicators enhances early RAP diagnosis accuracy.
- The findings provide a basis for precise, individualized interventions in high-risk pediatric patients.
Objective:
To explore the related influencing factors of recurrent acute pancreatitis in children and provide a reference for clinical early identification of high-risk children with recurrent acute pancreatitis (RAP).
Methods:
A retrospective case-control study was designed to collect the clinical data of 101 children who were diagnosed with acute pancreatitis (AP) and hospitalized in Anhui Children's Hospital from July 2020 to December 2025. The children were divided into two groups according to the recurrence of the disease: the acute pancreatitis group (only one hospitalization due to AP during the study period, n = 68) and the recurrent acute pancreatitis group (hospitalization due to repeated AP history with an interval of at least one month between any two AP-related hospitalizations, n = 33). Demographic data and serological indicators were compared between the two groups. Differential indicators were screened by univariate analysis, and independent related factors of RAP were identified by multivariate binary Logistic regression model. The diagnostic value of independent factors was analyzed by receiver operating characteristic (ROC) curve, and a combined diagnostic model and nomogram were constructed and their efficacy was verified.
Results:
Univariate analysis showed that there were statistically significant differences in triglyceride (TG), high density lipoprotein (HDL), blood glucose (BG) and D-dimer levels between the two groups (P < 0.05). Multivariate binary Logistic regression analysis indicated that HDL (OR=0.037, 95% CI: 0.003-0.384, P = 0.006), BG (OR=2.503, 95% CI: 1.413-4.435, P = 0.002) and D-dimer (OR=1.525, 95% CI: 1.199-1.938, P < 0.001) were independent related factors for RAP in children. ROC curve analysis showed that the areas under the curve (AUC) of HDL, BG and D-dimer for single diagnosis of RAP were 0.778, 0.830 and 0.825, respectively, and the AUC of the combined diagnosis of the three was 0.943 (95% CI: 0.902-0.983, P < 0.001). At the maximum Youden index, the sensitivity and specificity of the combined diagnostic model were 0.82 and 0.84, respectively. The calibration curve of the nomogram model constructed based on the above three independent factors had a high coincidence with the diagonal line, suggesting a good predictive efficacy of the model.
Conclusion:
HDL is an independent protective factor for RAP in children, while BG and D-dimer are independent risk factors. Clinical combined detection of these three indicators can improve the accuracy of early diagnosis of RAP and provide a basis for precise intervention in high-risk children.
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