Roles of Serum Trypsinogen-2 and Hematocrit in Evaluating Severity of Acute Pancreatitis PAN
10.3969/j.issn.1008-7125.2019.04.005
- Author:
Hong PAN
1
Author Information
1. Department of Gastroenterology, Jiangyin People's Hospital, Jiangyin Clinical College of Xuzhou Medical University
- Publication Type:Journal Article
- Keywords:
Acute Pancreatitis;
Hematocrit;
ROC Curve;
Severity of Disease;
Trypsinogen
- From:
Chinese Journal of Gastroenterology
2019;24(4):211-214
- CountryChina
- Language:Chinese
-
Abstract:
The incidence of acute pancreatitis (AP) in China is increasing year by year, and the mortality remains high. It is of great significance to explore the blood biochemical parameters which can assess the severity of AP for the diagnosis and treatment of AP. Aims: To explore the value of serum trypsinogen-2 (TAT-2) and hematocrit (HCT) in assessing the severity of AP. Methods: A total of 175 cases of AP from September 2016 to June 2018 at Jiangyin People's Hospital were enrolled. Patients were divided into mild acute pancreatitis (MAP) group, moderate severe acute pancreatitis (MSAP) group, severe acute pancreatitis (SAP) group according to the severity of AP. And 76 healthy individuals undergoing physical examination were served as the control group. The levels of serum TAT-2, HCT were detected. BISAP score, APACHEⅡ score, Balthazar CT score were evaluated. Values of different parameters for diagnosing SAP were analyzed by ROC curve. Results: Differences in TAT-2, HCT, BISAP score, APACHEⅡ score, Balthazar CT score were statistically significant among the four groups (P<0.05). Serum TAT-2 and HCT in SAP group were significantly higher than those in MAP group, MSAP group and control group (P<0.05), serum TAT-2 and HCT in MSAP group were significantly higher than those in MAP group and control group (P<0.05), and serum TAT-2 and HCT in MAP group were significantly higher than those in control group (P<0.05). ROC curve analysis showed that the sensitivity of TAT-2, HCT and the combination of these two indicators for predicting SAP were 69.7%, 84.7%, 88.5%, respectively; specificity were 95.3%, 67.8%, 65.1%, respectively; AUC were 0.858, 0.783, 0.875, respectively. Conclusions: TAT-2 and HCT can effectively evaluate the severity of AP patients, the combined detection of the two indicators can predict the occurrence of SAP further and play a vital role in treatment of AP.
