Nomogram for Predicting Pancreatic Pseudocyst in Hypertriglyceridemic Acute Pancreatitis: A Retrospective Cohort Study

Purpose: Pancreatic pseudocyst (PPC) is a relatively common local complication of hypertriglyceridemic acute pancreatitis (HTG-AP), frequently associated with prolonged hospital stay and potentially increased need for minimally invasive intervention. However, there is currently no established PPC prediction tool based on early admission indicators for HTG-AP patients. Patients and Methods: In this retrospective study, 684 HTG-AP patients from January 2017 to January 2025 were included. All the patients were divided into training and validation sets in a 7:3 ratio. The least absolute shrinkage and selection operator regression was utilized for preliminary screening of predictive factors in the training set. Then, multivariate logistic regression was applied to identify potential factors for nomogram construction. Results: A total of 684 patients were included, with an overall PPC incidence of 15.7%. The model incorporated three predictors: systemic inflammatory response syndrome (SIRS) (odds ratio [OR] = 2.263, 95% confidence interval [CI]: 1.283-3.991, p = 0.005), C-reactive protein (CRP) (OR = 1.019, 95% CI: 1.013-1.026, p < 0.001), and lactate (OR = 3.219, 95% CI: 2.182-4.749, p < 0.001). The nomogram showed good discrimination, with an area under the curve (AUC) of 0.816 (95% CI: 0.759-0.869) in the training cohort and 0.760 (95% CI: 0.658-0.854) in the validation cohort. Calibration performance was acceptable, with calibration slopes of 1.000 and 0.773 and Brier scores of 0.100 and 0.108 in the training and validation cohorts, respectively. Decision curve analysis further demonstrated positive net clinical benefit in both cohorts. Conclusion: SIRS, CRP, and lactate may be associated with the occurrence of PPC in patients with HTG-AP and may have value for early risk assessment. We developed a nomogram for PPC risk stratification in this population; however, further external validation is needed to confirm its generalizability and potential clinical utility.

Authors

Institutions

Publication Details

Journal
Journal of Inflammation Research
Published
2026-04-01
DOI
https://doi.org/10.2147/jir.s590773
Primary Topic
Pancreatitis Pathology and Treatment
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Nomogram for Predicting Pancreatic Pseudocyst in Hypertriglyceridemic Acute Pancreatitis: A Retrospective Cohort Study

Rui Qi, LVE CHENG, Hebin Wang, Hao Wang et al.
Journal of Inflammation Research
Pancreatitis Pathology and Treatment
article

Nomogram for Predicting Pancreatic Pseudocyst in Hypertriglyceridemic Acute Pancreatitis: A Retrospective Cohort Study

Rui Qi, LVE CHENG, Hebin Wang, Hao Wang, Maohui Yang, Yang Liu, Jinzhi Zhong, Renying Luo, Jie Xu, Jing Li
article en

Abstract

Purpose: Pancreatic pseudocyst (PPC) is a relatively common local complication of hypertriglyceridemic acute pancreatitis (HTG-AP), frequently associated with prolonged hospital stay and potentially increased need for minimally invasive intervention. However, there is currently no established PPC prediction tool based on early admission indicators for HTG-AP patients. Patients and Methods: In this retrospective study, 684 HTG-AP patients from January 2017 to January 2025 were included. All the patients were divided into training and validation sets in a 7:3 ratio. The least absolute shrinkage and selection operator regression was utilized for preliminary screening of predictive factors in the training set. Then, multivariate logistic regression was applied to identify potential factors for nomogram construction. Results: A total of 684 patients were included, with an overall PPC incidence of 15.7%. The model incorporated three predictors: systemic inflammatory response syndrome (SIRS) (odds ratio [OR] = 2.263, 95% confidence interval [CI]: 1.283-3.991, p = 0.005), C-reactive protein (CRP) (OR = 1.019, 95% CI: 1.013-1.026, p < 0.001), and lactate (OR = 3.219, 95% CI: 2.182-4.749, p < 0.001). The nomogram showed good discrimination, with an area under the curve (AUC) of 0.816 (95% CI: 0.759-0.869) in the training cohort and 0.760 (95% CI: 0.658-0.854) in the validation cohort. Calibration performance was acceptable, with calibration slopes of 1.000 and 0.773 and Brier scores of 0.100 and 0.108 in the training and validation cohorts, respectively. Decision curve analysis further demonstrated positive net clinical benefit in both cohorts. Conclusion: SIRS, CRP, and lactate may be associated with the occurrence of PPC in patients with HTG-AP and may have value for early risk assessment. We developed a nomogram for PPC risk stratification in this population; however, further external validation is needed to confirm its generalizability and potential clinical utility.

Journal of Inflammation ResearchVol. Volume 19
Dalian Medical University (CN), Second Affiliated Hospital of Chongqing Medical University (CN), Panzhihua Central Hospital (CN), Xian Yang Central Hospital (CN), Chongqing Medical University (CN)
Peace, Justice and strong institutions, Reduced inequalities
Openalex Percentile: Top 22%
Pancreatitis Pathology and Treatment
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.