A nomogram to predict the occurrence of pseudocyst in patients with acute pancreatitis
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View abstract on PubMed
Summary
This summary is machine-generated.Early laboratory indicators like LDH, Hb, ALB, and Ca can predict pancreatic pseudocyst (PP) development in acute pancreatitis (AP) patients. A developed nomogram shows high accuracy, aiding clinical decision-making for AP management.
Area Of Science
- Gastroenterology and Hepatology
- Medical Diagnostics
- Predictive Analytics
Background
- Pancreatic pseudocyst (PP) formation is a frequent complication of acute pancreatitis (AP).
- Predictive factors for PP development remain underexplored, necessitating research into early indicators.
- This study aimed to identify early laboratory markers for predicting PP in AP patients.
Purpose Of The Study
- To investigate the predictive value of early laboratory indicators for pancreatic pseudocyst (PP) development in acute pancreatitis (AP) patients.
- To develop and validate a predictive model for PP incidence.
- To compare the model's accuracy against established severity indices.
Main Methods
- Retrospective analysis of 2811 AP patients hospitalized between November 2008 and September 2020.
- Univariate and multivariate logistic regression analyses to identify risk factors.
- Development and validation of a nomogram incorporating identified laboratory risk factors (LDH, Hb, ALB, Ca).
Main Results
- The incidence of PP was 6.1% (172/2811) in the studied AP cohort.
- Early laboratory indicators including lactate dehydrogenase (LDH), hemoglobin (Hb), albumin (ALB), and calcium (Ca) were identified as significant predictors.
- The developed nomogram demonstrated strong discrimination (C-index 0.905) and calibration, outperforming CT severity index (CTSI) and AP severity.
Conclusions
- A nomogram integrating early laboratory data (LDH, Hb, ALB, Ca) accurately predicts PP incidence in AP patients.
- This predictive model offers enhanced accuracy compared to CTSI and general AP severity assessment.
- The nomogram shows potential clinical utility for early risk stratification and management of AP patients.
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