Hypertriglyceridemia as a risk factor for complications of acute pancreatitis and the development of a severity prediction model
HPB, ISSN: 1365-182X, Vol: 25, Issue: 9, Page: 1065-1073
2023
- 9Citations
- 17Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
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Metrics Details
- Citations9
- Citation Indexes9
- CrossRef4
- Captures17
- Readers17
- 17
Article Description
Hypertriglyceridemia (HTG) is a major cause of acute pancreatitis (AP). We aimed to determine whether HTG is an independent risk factor for AP complications and construct a prediction model for non-mild AP. We conducted a multi-center cohort study including 872 patients with AP and divided them into HTG-AP and non-HTG-AP groups. Multivariate logistic regression was performed, and a prediction model for non-mild HTG-AP was developed. HTG-AP patients had a higher risk of systemic complications, including systemic inflammatory response syndrome [odds ratio (OR): 1.718; 95% confidence interval (CI): 1.286–2.295], shock (OR: 2.103; 95%CI: 1.236–3.578), acute respiratory distress syndrome (OR: 2.231; 95%CI: 1.555–3.200), acute renal failure (OR: 1.593; 95%CI: 1.036–2.450), and local complications such as acute peripancreatic fluid collection (OR: 2.072; 95%CI: 1.550–2.771), acute necrotic collection (OR: 1.996; 95%CI: 1.394–2.856), and walled-off necrosis (OR: 2.157; 95%CI: 1.202–3.870). The area under curve of our prediction model was 0.898 (95%CI: 0.857–0.940) and 0.875 (95%CI: 0.804–0.946) in the derivation and validation datasets respectively. HTG is an independent risk factor for AP complications. We constructed a simple and accurate prediction model for progression of non-mild AP.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S1365182X23001569; http://dx.doi.org/10.1016/j.hpb.2023.05.006; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85159927045&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/37211462; https://linkinghub.elsevier.com/retrieve/pii/S1365182X23001569; https://dx.doi.org/10.1016/j.hpb.2023.05.006
Elsevier BV
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