Objective:To analyze the prognostic risk factors of patients with traumatic pancreatitis (TP) and establish an early combined prediction of multiple indicators model for TP.Methods:Patients admitted to the ICU of the First Affiliated Hospital of Zhengzhou University from June 2017 to June 2022 were collected retrospectively. Based on their prognosis, the patients were divided into two groups: the good prognosis group and the poor prognosis group. The general data such as sex, age, underlying diseases, Glasgow Coma Scale (GCS), acute physiology and chronic health evaluationⅡ (APACHEⅡ), injury severity score (ISS), bedside index for severity in acute pancreatitis (BISAP), and clinical test indices such as blood routine, blood coagulation, blood gas analysis, and liver and kidney function at admission were compared between the two groups. Univariate analysis and multivariate logistic regression analysis were used to screen the early independent predictors of poor prognosis of TP, and the prediction model of TP was established by combining all of the independent indicators. The receiver operating characteristic (ROC) curve of each independent predictor and prediction model was drawn, and the area under the curve (AUC), sensitivity, specificity, and optimal cut-off value were calculated to examine the diagnostic impact of each independent predictor and the combined prediction model.Results:There were statistically significant differences in the complication rate of mental disorders, GCS, APACHE II, combined craniocerebral injury, combined chest injury, activated partial thromboplastin time, fibrin(pro)degradation products, lactate, aspartate aminotransferase, glomerular filtration rate, amylase, lipase, NT-proBNP, myoglobin, procalcitonin, ISS, and BISAP between the good and poor prognosis groups (all P<0.05). Multivariate logistic regression analysis showed that lactate ( OR=1.636, 95% CI: 1.046-2.559), lipase ( OR=1.005, 95% CI: 1.001-1.008), and ISS ( OR=1.161, 95% CI: 1.064-1.266) were independent risk factors influencing the prognosis of patients with TP. Based on the risk factors listed above, a prediction model was created: Logit P=-9.260+0.492×lactate+0.005×lipase+0.149×ISS, and the ROC curve was plotted. The AUC curve of the prediction model was 0.96 (95% CI: 0.91-1.00). Conclusions:Lactate, lipase, and ISS are early independent risk factors associated with the prognosis of TP. Their combined multi-indicator prediction model has an excellent clinical prediction effect, which can provide a clinical reference for early prediction and treatment of TP.

Objective:To investigate the protective effect of overexpressed tripartite motif containing (TRIM27) on severe acute pancreatitis (SAP) in mice and its possible mechanism.Methods:Twenty-four mice were randomly divided into the sham operation + control virus group (AAV-GFP group), sham operation + overexpression of TRIM27 group (AAV-TRIM27 group), SAP + control virus group (SAP+AAV-GFP group), SAP + overexpression of TRIM27 group (SAP + AAV-TRIM27 group), with 6 mice in each group. SAP model of mice was established by intraperitoneal injection of L-arginine (4 mg/kg). The sham operation group was injected with equal volume of normal saline, and the virus group was injected with control or TRIM27 overexpression adeno-associated virus (2×10 11 μg/ per mice). The serum and pancreatic tissue samples were collected 72 h after modeling. The levels of serum amylase, lipase, tumor necrosis factor α (TNF-α), interleukin-1b (IL-1b), IL-6, macrophage chemoattractant protein-1 (MCP-1) and the expression of malondialdehyde (MDA), superoxide dismutase (SOD) and glutathione (GSH) in pancreatic tissue were detected by enzyme-linked immunosorbent assay. Hematoxylin eosin staining was used to observe the pathological damage of pancreatic tissue. The expressions of myeloperoxidase (MPO) and Ly6g positive inflammatory cells in mouse pancreas were observed by immunohistochemistry. The expression of p-p65, p65, p-ASK1, ASK1, p-JNK, JNK, p-p38 and p38 in pancreatic tissue were detected by Western blot. Results:The expression of TRIM27 in pancreatic of mice was significantly down regulated after SAP ( P<0.05); after overexpression of TRIM27 by adeno-associated virus, the expression of TRIM27 in mouse pancreas was significantly up-regulated ( P<0.05). There was no significant difference in the indexes of mice between the AAV-GFP group and AAV-TRIM27 group ( P>0.05). Compared with the SAP + AAV-GFP group, the levels of serum amylase, lipase, TNF-α, IL-1b, IL-6 and MCP-1 in mice of the SAP + AAV-TRIM27 group were significantly decreased, MDA in pancreatic tissue was decreased, SOD and GSH were increased, MPO and Ly6g inflammatory cells were significantly decreased, and p-p65, p-ASK1, p-JNK, and p-p38 protein expression were down regulated. Conclusions:Overexpression of TRIM27 alleviates SAP in mice by inhibiting inflammatory response and oxidative stress, and its mechanism may be through inhibiting NFκB/MAPK signaling pathway.

Objective:To explore the predictive value of combined detection of serum interleukin-6 (IL-6), chloride (Cl -), D-dimer and fibrin degradation products (FDP) for severity of acute pancreatitis (AP). Methods:From December 2020 to March 2022, 132 AP patients who met the criteria for inclusion were screened for retrospective analysis from 292 AP patients admitted in emergency surgery at the First Affiliated Hospital of Zhengzhou University and they were divided into severe acute pancreatitis (SAP) group and non-SAP group, with 63 in SAP group and 69 in non-SAP group, according to classification criteria. The data including lab results, abdominal doppler ultrasound and chest and abdominal CT, etc. The bedside index for severity in acute pancreatitis (BISAP) score was calculated. Multivariate Logistic regression analysis was carried out to find the risk factors for the severity of AP patients. The receiver operator characteristic curve (ROC) was drawn to judge the clinical predictive value of each factor.Results:A total of 132 AP patients were enrolled. The serum IL-6, D-dimer, FDP levels and the BISAP score in SAP group were significantly higher than those in non-SAP group [serum IL-6 (ng/L): 62.73 (21.54, 187.47) vs. 8.22 (4.13, 14.70), D-dimer (mg/L): 5.36 (2.94, 8.25) vs. 0.94 (0.42, 2.21), FDP (mg/L): 13.54 (6.76, 22.45) vs. 3.20 (2.50, 6.10), BISAP score: 2.00 (1.00, 3.00) vs. 1.00 (0, 2.00), all P < 0.05], while the serum Cl - level was significantly lower than that of non-SAP group (mmol/L: 97.90±4.86 vs. 101.73±4.32, P < 0.05). Multivariate Logistic regression analysis showed that increased levels of IL-6 [odds ratio ( OR) = 1.02, 95% confidence interval (95% CI) was 1.01-1.04], D-dimer ( OR = 1.21, 95% CI was 1.05-1.40) and decreased Cl - level ( OR = 0.88, 95% CI was 0.79-0.98) were risk factors for SAP (all P < 0.05). The ROC curve analysis showed that the area under the ROC curve (AUC) of IL-6, Cl -, D-dimer and FDP combined to predict the severity of AP patients was larger (0.89), and the sensitivity (82.50%) and specificity (85.50%) were higher. Conclusion:Compared with single index, the combined detection of serum IL-6, Cl -, D-dimer and FDP is more precise in determining the condition of AP.