Hematology Laboratory, Hunan Provincial People's Hospital, The First Affiliated Hospital of Hunan Normal University, Changsha, China.
Key Laboratory of Study and Discovery of Small Targeted Molecules of Hunan Province, Hunan Normal University, Changsha, China.
J Gastroenterol Hepatol. 2024 Oct;39(10):2088-2096. doi: 10.1111/jgh.16641. Epub 2024 Jun 1.
The development of acute pancreatitis (AP) is strongly linked to blood clotting and fibrinolysis issues. Modern clinical practices now utilize advanced blood markers like thrombin-antithrombin III complex (TAT), plasmin-α2-plasmin inhibitor complex, thrombomodulin (TM), and tissue plasminogen activator-inhibitor complex (t-PAIC) to assess thrombosis risk. Our study used a highly sensitive chemiluminescence technique to measure these markers in AP patients, aiming to determine their early predictive value for AP severity.
There were 173 patients with AP, all of whom developed symptoms within 72 h; 102 individuals had onset symptoms within 48 h. The biomarkers were measured upon admission before determining the severity of AP.
The levels of TAT, plasmin-α2-plasmin inhibitor complex, TM, and t-PAIC were significantly higher in the severe acute pancreatitis (SAP) group compared with the mild acute pancreatitis and moderate severe acute pancreatitis groups. For the patients within 72 h of onset, TAT, TM, and t-PAIC predicted the occurrence of SAP. For the patients within 48 h of onset, TAT and t-PAIC predicted the occurrence of SAP. The area under the curve (AUC) of prediction models is similar to Bedside Index for Severity in Acute Pancreatitis (BISAP) but significantly higher than C-reactive protein (P < 0.05). Notably, t-PAIC had a larger AUC than TAT, BISAP, and C-reactive protein.
In the initial 48 h, plasma TAT and t-PAIC levels may predict the development of SAP. Within 72 h, plasma levels of TAT, TM, and t-PAIC may predict the development of SAP, and the TAT + TM + t-PAIC prediction model achieved a maximum AUC of 0.915, comparable to BISAP.
急性胰腺炎(AP)的发展与凝血和纤维蛋白溶解问题密切相关。现代临床实践现在使用先进的血液标志物,如凝血酶-抗凝血酶 III 复合物(TAT)、纤溶酶-α2-纤溶酶抑制剂复合物、血栓调节蛋白(TM)和组织型纤溶酶原激活物抑制剂复合物(t-PAIC)来评估血栓形成风险。我们的研究使用高灵敏度的化学发光技术测量 AP 患者的这些标志物,旨在确定它们对 AP 严重程度的早期预测价值。
共有 173 例 AP 患者,所有患者均在 72 小时内出现症状;102 例患者在 48 小时内出现症状。在确定 AP 严重程度之前,在入院时测量生物标志物。
重症急性胰腺炎(SAP)组 TAT、纤溶酶-α2-纤溶酶抑制剂复合物、TM 和 t-PAIC 的水平明显高于轻症急性胰腺炎和中重度急性胰腺炎组。对于发病 72 小时内的患者,TAT、TM 和 t-PAIC 预测 SAP 的发生。对于发病 48 小时内的患者,TAT 和 t-PAIC 预测 SAP 的发生。预测模型的曲线下面积(AUC)与床边急性胰腺炎严重程度指数(BISAP)相似,但明显高于 C 反应蛋白(P<0.05)。值得注意的是,t-PAIC 的 AUC 大于 TAT、BISAP 和 C 反应蛋白。
在最初的 48 小时内,血浆 TAT 和 t-PAIC 水平可能预测 SAP 的发生。在 72 小时内,血浆 TAT、TM 和 t-PAIC 水平可能预测 SAP 的发生,TAT+TM+t-PAIC 预测模型的 AUC 最大为 0.915,与 BISAP 相当。