[Association between coagulation function and prognosis in patients with acute pancreatitis]

Area of Science:

• Clinical Medicine
• Hematology
• Gastroenterology

Background:

• Acute pancreatitis (AP) is a serious condition with significant morbidity and mortality.
• Coagulation dysfunction is a known complication of AP, but its precise role in predicting severity and prognosis requires further elucidation.
• Identifying reliable laboratory markers for early prediction and dynamic monitoring is crucial for improving patient outcomes.

Purpose of the Study:

• To investigate the correlation between coagulation function markers and the severity and prognosis of AP.
• To identify laboratory markers for the early prediction and dynamic monitoring of AP prognosis.
• To assess the predictive value of admission markers and their dynamic changes during hospitalization.

Main Methods:

• Retrospective analysis of clinical data from 175 AP patients admitted within 72 hours.
• Logistic regression analysis to identify independent risk factors for severe AP (SAP) and death.
• Receiver Operating Characteristic (ROC) analysis to evaluate the predictive value of coagulation markers and their dynamic changes.

Main Results:

• Admission markers including vWF: Ag, PT, PC, AT III, and D-dimer were independent risk factors for SAP and death.
• Dynamic monitoring of changes in markers like vWF: Agmax, PTmax, APTTmax, TTmax, FIBmin, D-dimermax, PLTmin, PCmin, PLGmin, AT IIImin, and their variations showed significant predictive value.
• ROC analysis indicated that dynamic monitoring of marker changes (e.g., △vWF: Ag, △PT, △APTT, △FIB, △TT, △D-dimer, △PLT, △PC, △AT III, △PLG) effectively predicted SAP and death (AUC 0.63-0.84).

Conclusions:

• AP patients exhibit vascular endothelial injury and coagulation disorders.
• Admission markers (vWF: Ag, PT, PC, AT III, D-dimer) are independent predictors of SAP and mortality.
• Dynamic monitoring of coagulation markers (vWF: Ag, PT, APTT, TT, FIB, D-dimer, PLT, PC, AT III, PLG) significantly enhances the prediction of AP prognosis.