ArticleLipids in health and disease2023
Establishment and validation of early prediction model for hypertriglyceridemic severe acute pancreatitis.
Article in Lipids in health and disease, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.
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Who cites it
27 citing papers in PubMed, 23 citations in OpenAlex.
- Effects of Abnormal Lipid Metabolism on Pancreatic Injury and Ferroptosis-Related Indicators in Rats with Severe Acute Pancreatitis.Digestive diseases and sciences · 2026Article
- Radiomics derived from MRI T2-weighted imaging combined with clinical variables for predicting disease severity in hypertriglyceridemic acute pancreatitis.Abdominal radiology (New York) · 2026Article
- Review
- Hypertriglyceridaemia-Associated Acute Pancreatitis: Pathophysiological Insights and Advances in Clinical Management.Biomedicines · 2026Review
- Development and validation of a clinical risk stratification model for lumbar vertebral compression fractures in patients with lumbar disc herniation.Bone reports · 2026Article
- Hypertriglyceridemia‑Induced Acute Pancreatitis Compared With Non-Hypertriglyceridemia Acute Pancreatitis: A Retrospective Case-Control Study.Health science reports · 2026Article
- Diagnostic and prognostic value of serum lactate dehydrogenase and amylase in severe acute pancreatitis: A clinical biochemistry-based evaluation.Journal of medical biochemistry · 2026Article
- A time-series feature-based nomogram for the prediction of severe acute pancreatitis.BMC gastroenterology · 2026Article
- Prognostic analysis of acute pancreatitis due to different etiologies and establishment and validation of an early prediction model.Lipids in health and disease · 2026Article
- Development of a machine learning-based early prediction model for disease severity in acute pancreatitis.European journal of medical research · 2026Article
- Optimization of modified CT severity index by incorporating lymphocyte-to-monocyte ratio for early stratification in acute pancreatitis: a single-center validation study.Frontiers in medicine · 2026Article
- Lactate Dehydrogenase, Interleukin-6, and 24 h Intra-Abdominal Pressure Exhibit Early Predictive Value in Hypertriglyceridemic Pancreatitis Complicated by Acute Respiratory Distress Syndrome.Emergency medicine international · 2026Article
- Development and validation of a 24-h predictive model for hypertriglyceridemic moderately severe acute pancreatitis: a single-center retrospective study.Frontiers in medicine · 2026Article
- Development and Validation of an Early Severity Prediction Model for Hypertriglyceridemia-Associated Acute Pancreatitis: A Multicenter Cohort Study.Journal of inflammation research · 2026Article
- Construction of a nomogram for hypertriglyceridemic severe acute pancreatitis that includes metabolic indexes.Lipids in health and disease · 2025Article
- Hypertriglyceridemic pancreatitis: perspectives from China.Current opinion in gastroenterology · 2025Review
- Utilizing machine learning models for predicting outcomes in acute pancreatitis: development and validation in three retrospective cohorts.BMC medical informatics and decision making · 2025Article
- Prediction of acute pancreatitis severity using NLR, procalcitonin, and CT severity score: A retrospective study.Medicine · 2025Article
- A risk nomogram for 30-day mortality in Chinese patients with acute pancreatitis using LASSO-logistic regression.Scientific reports · 2025Article
- Evaluation of scoring systems and hematological parameters in the severity stratification of early-phase acute pancreatitis.World journal of gastroenterology · 2025Observational
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
backgroundThe prevalence of hypertriglyceridaemia-induced acute pancreatitis (HTG-AP) is increasing due to improvements in living standards and dietary changes. However, currently, there is no clinical multifactor scoring system specific to HTG-AP. This study aimed to screen the predictors of HTG-SAP and combine several indicators to establish and validate a visual model for the early prediction of HTG-SAP.
methodsThe clinical data of 266 patients with HTG-SAP were analysed. Patients were classified into severe (N = 42) and non-severe (N = 224) groups according to the Atlanta classification criteria. Several statistical analyses, including one-way analysis, least absolute shrinkage with selection operator (LASSO) regression model, and binary logistic regression analysis, were used to evaluate the data.
resultsThe univariate analysis showed that several factors showed no statistically significant differences, including the number of episodes of pancreatitis, abdominal pain score, and several blood diagnostic markers, such as lactate dehydrogenase (LDH), serum calcium (Ca
conclusionsCRP, LDH, Ca
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