Analysis of Influencing Factors of Acute Pancreatitis Complicated With Persistent Inflammation and Construction of a Prediction Model

The model predicted non-SIRS with a critical value ≥0.332, a sensitivity of 71.3% and specificity of 87.1%, and a kappa value of 0.56. These results indicate that this prediction model is based on admission data, with recommended additional validation assessments at multiple time points (eg, 24, 48, and 72 h) to fully characterize the progression of SIRS's risk. Overall, this nomogram prediction model provides an efficient and simple means to predict SIRS for patients with AP.

Authors

Institutions

Publication Details

Journal
Pancreas
Published
2025-06-24
DOI
https://doi.org/10.1097/mpa.0000000000002526
Citations
2
Primary Topic
Pancreatitis Pathology and Treatment
Type
article
Field-Weighted Citation Impact
4.01
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of Influencing Factors of Acute Pancreatitis Complicated With Persistent Inflammation and Construction of a Prediction Model

Yue Zou, Kunpeng Li, Ping Geng
2 citations
Pancreas
Pancreatitis Pathology and Treatment
4.01
article

Analysis of Influencing Factors of Acute Pancreatitis Complicated With Persistent Inflammation and Construction of a Prediction Model

Yue Zou, Kunpeng Li, Ping Geng
article en
2 citations

Abstract

The model predicted non-SIRS with a critical value ≥0.332, a sensitivity of 71.3% and specificity of 87.1%, and a kappa value of 0.56. These results indicate that this prediction model is based on admission data, with recommended additional validation assessments at multiple time points (eg, 24, 48, and 72 h) to fully characterize the progression of SIRS's risk. Overall, this nomogram prediction model provides an efficient and simple means to predict SIRS for patients with AP.

PancreasVol. 54(10)
Northern Jiangsu People's Hospital (CN)
Peace, Justice and strong institutions
Openalex Percentile: Top 7%
Pancreatitis Pathology and Treatment
4.01
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.

Analysis of Influencing Factors of Acute Pancreatitis Complicated With Persistent Inflammation and Construction of a Prediction Model — Yue Zou, Kunpeng Li, et al. · Pancreas (2025) | TGRS Research Map | TGRS