Published online Aug 26, 2024. doi: 10.12998/wjcc.v12.i24.5502
Revised: May 25, 2024
Accepted: June 20, 2024
Published online: August 26, 2024
Processing time: 73 Days and 20.4 Hours
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.
To assess factors for early identification or prediction of SAPIP.
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.
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 neutro
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.
Core Tip: This retrospective study explored factors for early identification or prediction of severe acute pancreatitis in pregnancy (SAPIP). A total of 45 APIP patients were enrolled. Logistic regression analysis showed that heart rate, neutrophil ratio, neutrophil–lymphocyte ratio, and lymphocyte count were significantly correlated with SAPIP. These four indexes showed valuable area under the curve, sensitivity, and specificity through receiver operating characteristic curve analysis. These results suggested that heart rate, neutrophil ratio, neutrophil-lymphocyte ratio, and lymphocyte count can be used for early identification or prediction of SAPIP.