S23 Early CRP Trends and Phenotypes Predict Mortality in Acute Pancreatitis: A Trajectory-Based Analysis With Implications for Resource Optimization

Introduction: C-reactive protein (CRP) is commonly used in acute pancreatitis (AP) to assess severity, but the value of early serial CRP trends for mortality prediction is unclear. We evaluated whether changes over the first 4-5 days can improve risk stratification and guide clinical decision-making. Methods: We ambispectively analyzed 372 AP patients (median age: 39 [IQR 30-54]; 80% men) with serial CRP values recorded from days 2 to 5 of symptom onset (CRP2-CRP5). Missing values were imputed using constrained interpolation or iterative regression. Post-imputation analyses showed consistent trends and predictive performance compared to complete-case data. K-means clustering identified CRP trajectory phenotypes. Logistic regression, receiver operating characteristic analysis, and decision curve analysis assessed mortality prediction and net clinical benefit. Subgroup analysis was performed by CRP2 level and BISAP score. Results: Overall mortality was 6.2% (n = 23). Mean CRP declined from 250 mg/L (day 2) to 134 mg/L (day 5). Trajectory clustering revealed 2 phenotypes, resolving CRP (mortality 2.2%) and persistently elevated CRP (mortality 12.4%; odds ratio [OR] = 6.29). A model using CRP2-CRP4 yielded strong discrimination for mortality (AUC = 0.809; 95% CI: 0.689–0.911). Overall, a CRP4/CRP2 ratio ≥0.90 predicted mortality with AUC of 0.64. In patients with CRP2 >300 mg/L (n = 134), predictive performance improved (AUC = 0.820, NPV = 93.9%), highlighting its utility in high-baseline inflammation states. Predictive trends remained consistent across etiologies and robust across sensitivity analyses. Decision curve analysis showed that adding CRP5 to the model of CRP2-4 provided minimal incremental benefit (AUC gain of +0.002), with a maximum net benefit of 0.0064 at a threshold probability of 0.27, suggesting most prognostic information is captured by Day 4. Early CRP trends can inform ICU triage, escalation of care, and early discharge planning, supporting more efficient resource allocation. Conclusion: CRP trajectories through Day 4 define meaningful phenotypes in AP. The CRP4/CRP2 ratio provides modest overall discrimination but is highly predictive in patients with elevated baseline CRP. The limited added value of day 5 CRP supports more efficient care pathways, especially in settings with constrained resources. Early CRP trends offer a practical, scalable tool for personalized and resource-conscious AP care.

Authors

Publication Details

Journal
The American Journal of Gastroenterology
Published
2025-10-01
DOI
https://doi.org/10.14309/01.ajg.0001126552.93065.34
Primary Topic
Pancreatitis Pathology and Treatment
Type
article
Field-Weighted Citation Impact
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article

S23 Early CRP Trends and Phenotypes Predict Mortality in Acute Pancreatitis: A Trajectory-Based Analysis With Implications for Resource Optimization

Rajiv Mehta, N. Nandwani, Atul K. Desai, Samir Vanani et al.
The American Journal of Gastroenterology
Pancreatitis Pathology and Treatment
article

S23 Early CRP Trends and Phenotypes Predict Mortality in Acute Pancreatitis: A Trajectory-Based Analysis With Implications for Resource Optimization

Rajiv Mehta, N. Nandwani, Atul K. Desai, Samir Vanani, Dhiraaj Desai, Mipasha Patel, Dhvani Adhvaryu
article en

Abstract

Introduction: C-reactive protein (CRP) is commonly used in acute pancreatitis (AP) to assess severity, but the value of early serial CRP trends for mortality prediction is unclear. We evaluated whether changes over the first 4-5 days can improve risk stratification and guide clinical decision-making. Methods: We ambispectively analyzed 372 AP patients (median age: 39 [IQR 30-54]; 80% men) with serial CRP values recorded from days 2 to 5 of symptom onset (CRP2-CRP5). Missing values were imputed using constrained interpolation or iterative regression. Post-imputation analyses showed consistent trends and predictive performance compared to complete-case data. K-means clustering identified CRP trajectory phenotypes. Logistic regression, receiver operating characteristic analysis, and decision curve analysis assessed mortality prediction and net clinical benefit. Subgroup analysis was performed by CRP2 level and BISAP score. Results: Overall mortality was 6.2% (n = 23). Mean CRP declined from 250 mg/L (day 2) to 134 mg/L (day 5). Trajectory clustering revealed 2 phenotypes, resolving CRP (mortality 2.2%) and persistently elevated CRP (mortality 12.4%; odds ratio [OR] = 6.29). A model using CRP2-CRP4 yielded strong discrimination for mortality (AUC = 0.809; 95% CI: 0.689–0.911). Overall, a CRP4/CRP2 ratio ≥0.90 predicted mortality with AUC of 0.64. In patients with CRP2 >300 mg/L (n = 134), predictive performance improved (AUC = 0.820, NPV = 93.9%), highlighting its utility in high-baseline inflammation states. Predictive trends remained consistent across etiologies and robust across sensitivity analyses. Decision curve analysis showed that adding CRP5 to the model of CRP2-4 provided minimal incremental benefit (AUC gain of +0.002), with a maximum net benefit of 0.0064 at a threshold probability of 0.27, suggesting most prognostic information is captured by Day 4. Early CRP trends can inform ICU triage, escalation of care, and early discharge planning, supporting more efficient resource allocation. Conclusion: CRP trajectories through Day 4 define meaningful phenotypes in AP. The CRP4/CRP2 ratio provides modest overall discrimination but is highly predictive in patients with elevated baseline CRP. The limited added value of day 5 CRP supports more efficient care pathways, especially in settings with constrained resources. Early CRP trends offer a practical, scalable tool for personalized and resource-conscious AP care.

The American Journal of GastroenterologyVol. 120(10S2)
Openalex Percentile: Top 52%
Pancreatitis Pathology and Treatment
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