ArticleSaudi journal of gastroenterology : official journal of the Saudi Gastroenterology Association2020
Utility of inflammatory markers to predict adverse outcome in acute pancreatitis: A retrospective study in a single academic center.
Article in Saudi journal of gastroenterology : official journal of the Saudi Gastroenterology Association, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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Who cites it
7 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Neutrophil-to-lymphocyte ratio for primary risk stratification in acute pancreatitis: a systematic review and meta-analysis.Frontiers in medicine · 2025Pooled it
- An inflammation-based model for identifying severe acute pancreatitis: a single-center retrospective study.BMC gastroenterology · 2024Article
- Circulating monocytes in acute pancreatitis.Frontiers in immunology · 2022Review
- Development and Validation of a Novel Prognostic Score Based on Thrombotic and Inflammatory Biomarkers for Predicting 28-Day Adverse Outcomes in Patients with Acute Pancreatitis.Journal of inflammation research · 2022Article
- Article
- Prognostic Value of Glucose-to-Lymphocyte Ratio in Critically Ill Patients with Acute Pancreatitis.International journal of general medicine · 2021Article
- Acute peripancreatic fluid collection in acute pancreatitis: Incidence, outcome, and association with inflammatory markers.Saudi journal of gastroenterology : official journal of the Saudi Gastroenterology AssociationArticle
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND/
aimAcute pancreatitis (AP) is a commonly encountered emergency where early identification of complicated cases is important. Inflammatory markers like lymphocyte to monocyte ratio (LMR) and neutrophil to lymphocyte ratio (NLR) are simple and readily available markers. In this study, we evaluated the utility of these markers in the early identification of patients with complicated AP. PATIENTS AND
methodsAll patients with a diagnosis of AP admitted to the University Medical Center in Las Vegas/Nevada between August 2015 and September 2018 were identified using ICD-10 codes. Medical records were reviewed retrospectively. Epidemiological measures and their associated confidence intervals were calculated using MedCalc (v. 18).
resultsThe LMR showed a significant difference between groups, with the non-complicated cases consistently higher than the complicated cases but without significant temporal differences. The NLR showed a significant difference with a significant temporal relation. Using the bound of the 95% confidence interval separating the two groups, LMR <2 was found to be associated with a complicated case and NLR >10.5 was suggestive of a complicated case. High specificity (85-92%) with low sensitivity (23-69%) was noted; hence, these cut points were very good at discerning non-complicated cases.
conclusionOur data show persistently low LMR that is associated with severe AP and a value of <2.0 can be used clinically to predict severe AP on admission. It also shows that elevated NLR is associated with complicated AP and prolonged hospital stay with a value >10.5 that can be used to predict severe complicated AP and to monitor response to treatment over time.
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