Mei Li-Fen, Gan Quan, Hu Jing, Li Yun-Xiang, Tian Rui, Shi Cheng-Jian
Department of Critical Care Medicine, Maternal and Child Health Hospital of Hubei Province, Wuhan 430000, Hubei Province, China.
Department of Biliary-Pancreatic Surgery, Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430030, Hubei Province, China.
World J Clin Cases. 2024 Aug 26;12(24):5502-5512. doi: 10.12998/wjcc.v12.i24.5502.
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 ( < 0.01) heart rate (HR), hemoglobin, neutrophil ratio (NEUT%), and neutrophil-lymphocyte ratio (NLR), while lymphocytes were significantly decreased ( < 0.01). Logical regression analysis showed that HR, NEUT%, NLR, and lymphocyte count differed significantly ( < 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.
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.
妊娠期急性胰腺炎（APIP）是一种罕见且严重的病症，重度妊娠期急性胰腺炎（SAPIP）可导致胰腺坏死、脓肿、多器官功能障碍以及其他母婴不良结局。因此，早期识别或预测SAPIP很重要。
评估早期识别或预测SAPIP的因素。
回顾性分析APIP患者的临床资料。将患者分为轻度急性胰腺炎或重度急性胰腺炎，并比较两组的临床特征和实验室生化指标。进行逻辑回归和受试者工作特征曲线分析，以评估识别或预测SAPIP的因素的效能。
共纳入45例APIP患者。与轻度急性胰腺炎组相比，重度急性胰腺炎组的心率（HR）、血红蛋白、中性粒细胞比例（NEUT%）和中性粒细胞与淋巴细胞比值（NLR）显著升高（<0.01），而淋巴细胞显著减少（<0.01）。逻辑回归分析显示，两组之间的HR、NEUT%、NLR和淋巴细胞计数存在显著差异（<0.01）。这些可能是早期识别或预测SAPIP的因素。受试者工作特征曲线分析中HR、NEUT%、NLR和淋巴细胞计数的曲线下面积分别为0.748, 0.732, 0.821和0.774。联合分析显示，曲线下面积、敏感性和特异性分别为0.869、90.5%和70.8%。
HR、NEUT%、NLR和淋巴细胞计数可用于早期识别或预测SAPIP，这四个因素的联合有望提高对SAPIP的识别或预测能力。
