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Assessment of early factors for identification or prediction severe acute pancreatitis in pregnancy
Li-Fen Mei1, Quan Gan1, Jing Hu1
1Department of Critical Care Medicine, Maternal and Child Health Hospital of Hubei Province, Wuhan 430000, Hubei Province, China.
Insights
Severe acute pancreatitis in pregnancy (SAPIP) is a serious condition. Heart rate, neutrophil ratio, neutrophil-lymphocyte ratio, and lymphocyte count can help predict SAPIP early.
Area of Science:
- Obstetrics and Gynecology
- Gastroenterology
- Critical Care Medicine
Background:
- Acute pancreatitis in pregnancy (APIP) is a rare but serious condition.
- Severe APIP (SAPIP) can lead to adverse maternal and infant outcomes, including pancreatic necrosis and multiple organ dysfunction.
- Early identification of SAPIP is crucial for improved patient management and outcomes.
Purpose of the Study:
- To identify and assess factors for the early identification or prediction of severe acute pancreatitis in pregnancy (SAPIP).
Main Methods:
- Retrospective analysis of clinical data from 45 APIP patients.
- Classification of patients into mild and severe acute pancreatitis groups.
- Comparison of clinical characteristics and laboratory biochemical indexes, including logical regression and receiver operating characteristic curve analyses.
Main Results:
- Severe APIP group showed significantly increased heart rate (HR), hemoglobin, neutrophil ratio (NEUT%), and neutrophil-lymphocyte ratio (NLR), with decreased lymphocytes (P < 0.01).
- Logical regression identified HR, NEUT%, NLR, and lymphocyte count as significant predictors (P < 0.01).
- Combined analysis of these factors yielded an area under the curve of 0.869, with 90.5% sensitivity and 70.8% specificity.
Conclusions:
- Heart rate, neutrophil ratio, neutrophil-lymphocyte ratio, and lymphocyte count are effective for early identification or prediction of SAPIP.
- Combining these four factors is expected to enhance the accuracy of SAPIP prediction.
- These findings support the use of these biomarkers in clinical practice for early SAPIP detection.
Background:
Acute pancreatitis in pregnancy (APIP) is a rare and serious condition, and severe APIP (SAPIP) can lead to pancreatic necrosis, abscess, multiple organ dysfunction, and other adverse maternal and infant outcomes. Therefore, early identification or prediction of SAPIP is important.
Aim:
To assess factors for early identification or prediction of SAPIP.
Methods:
The clinical data of patients with APIP were retrospectively analyzed. Patients were classified with mild acute pancreatitis or severe acute pancreatitis, and the clinical characteristics and laboratory biochemical indexes were compared between the two groups. Logical regression and receiver operating characteristic curve analyses were performed to assess the efficacy of the factors for identification or prediction of SAPIP.
Results:
A total of 45 APIP patients were enrolled. Compared with the mild acute pancreatitis group, the severe acute pancreatitis group had significantly increased (P < 0.01) heart rate (HR), hemoglobin, neutrophil ratio (NEUT%), and neutrophil-lymphocyte ratio (NLR), while lymphocytes were significantly decreased (P < 0.01). Logical regression analysis showed that HR, NEUT%, NLR, and lymphocyte count differed significantly (P < 0.01) between the groups. These may be factors for early identification or prediction of SAPIP. The area under the curve of HR, NEUT%, NLR, and lymphocyte count in the receiver operating characteristic curve analysis was 0.748, 0.732, 0.821, and 0.774, respectively. The combined analysis showed that the area under the curve, sensitivity, and specificity were 0.869, 90.5%, and 70.8%, respectively.
Conclusion:
HR, NEUT%, NLR, and lymphocyte count can be used for early identification or prediction of SAPIP, and the combination of the four factors is expected to improve identification or prediction of SAPIP.
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