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Objective To investigate the value of pancreatitis activity scoring system (PASS) score, Bedside Index for Severity in Acute Pancreatitis (BISAP) score, Acute Physiology and Chronic Health Evaluation Ⅱ (APACHE-Ⅱ) score, harmless acute pancreatitis score (HAPS), and Ranson score in evaluating the severity and prognosis of hypertriglyceridemia acute pancreatitis (HTGAP). Methods A retrospective analysis was performed for the clinical data of 300 patients with HTGAP who were admitted to General Hospital of Ningxia Medical University from January 2016 to January 2022, and according to the disease severity, these patients were divided into mild acute pancreatitis (MAP) group, moderate-severe acute pancreatitis (MSAP) group, and severe acute pancreatitis (SAP) group. Clinical data and the above scores were compared between the three groups. The chi-square test was used for comparison of categorical data between groups; an analysis of variance was used for continuous data with homogeneity of variance, and the Kruskal-Wallis H test was used for comparison of non-normally distributed continuous data between groups. The receiver operating characteristic (ROC) curve was plotted according to disease severity, and related indicators were compared in terms of the area under the ROC curve (AUC). Results There were significant differences between the three groups in PASS score ( F =219.351, P < 0.01), Ranson score ( χ 2 =83.084, P < 0.01), APACHE-Ⅱ score ( χ 2 =43.388, P < 0.01), and BISAP score ( χ 2 = 50.785, P < 0.01). Compared with the other four scoring systems in evaluating and predicting disease severity, PASS score had the highest sensitivity of 0.945 and the largest AUC of 0.963, followed by Ranson score with a sensitivity of 0.655 and an AUC of 0.819. Conclusion For patients with HTGAP, PASS score can more accurately assess the severity and prognosis of HTGAP patients and thus holds promise for clinical application.
RESUMO
Objective:To investigate the risk factors of acute pancreatitis (AP) complicated with thrombotic diseases.Methods:Clinical data of 5 223 patients with AP admitted to the General Hospital of Ningxia Medical University from January 2015 to September 2020 were retrospectively analyzed. They were divided into thrombosis group and non-thrombosis group according to whether they were complicated with thrombotic diseases. The following data were recorded: gender, age, past history, time of onset, etiology, severity grade of AP, BISAP score, prothrombin time (PT), activated partial thromboplastin time (APTT), D-dimer(D-D), fibrinogen(FIB), white blood cell count(WBC), platelet count (PLT), lactate dehydrogenase (LDH), blood glucose level, with or without hypoalbuminemia, hypertriglyceridemia and hypercholesterolemia, date of diagnosis, location of thrombus, clinical manifestations and anticoagulant therapy. Univariate and Logistic multivariate regression analysis were used to analyze the risk factors of AP complicated with thrombotic diseases. The receiver operating characteristic (ROC) curve was drawn, the area under the curve (AUC) was calculated, and the efficacy of independent risk factors in predicting AP complicated with thrombotic diseases was evaluated.Results:46(0.88%) of 5 223 patients with AP were complicated with thrombosis, which occurred 8.50(2.00-15.00) days after the onset of AP; the age of onset was 66 (52-74) years; the patients with thrombotic diseases were mostly SAP patients (23/46, 50%); the most common type was deep venous thrombosis in lower extremity (19/46, 41.3%); 37 patients (80.4%) received regular anticoagulant treatment after finding thrombus, and no bleeding was found during hospitalization. Univariate analysis showed that the age of patients with thrombosis was higher than that of patients without thrombosis, APTT value was prolonged, D-D value was increased, WBC was decreased and SAP was more in AP severity, the number of patients with BISAP score ≥3 was increased significantly, and the differences were statistically significant ( P<0.05). Multivariate logistic regression analysis showed that AP severity ( OR=3.017, 95% CI 1.799-5.061, P<0.001) and age ( OR=1.029, 95% CI 1.000-1.059, P=0.049) were independent risk factors for AP patients complicated with thrombosis. The AUC of AP severity and age in predicting AP complicated with thrombotic diseases were 0.714 and 0.625, respectively. The sensitivity was 67.4% and 47.8%, and the specificity was 70.6% and 77.9%, respectively. Conclusions:The severity grade and age of AP were independent risk factors for AP complicated with thrombotic diseases. Early vigilance and clinical intervention should be given.