The Proactive Diagnostic Value of Thrombin-Antithrombin Complex and Antithrombin III in Disseminated Intravascular Coagulation

Introduction Disseminated intravascular coagulation (DIC) is a life-threatening condition with high mortality, necessitating timely and accurate diagnosis for effective management. However, current diagnostic systems can not recognize DIC at its reversible phase, causing suboptimal treatment outcomes. One reason is that most venous thrombosis cases are asymptomatic. Moreover, the focus on abnormalities in coagulation consumption often fails to identify DIC until in a later and irreversible phase. Consequently, the current diagnostic criteria for DIC lacks earlier laboratory indicators. Therefore, our objective was to evaluate the diagnostic potential of selected hemostatic biomarkers (thrombin-antithrombin complex (TAT), soluble thrombomodulin (sTM), tissue plasminogen activator inhibitor complex (tPAI-C), α 2-plasmin inhibitor plasmin complex (PIC) and anti-thrombin III (ATIII)) in assessing DIC before reaching its irreversible phase. Methods We included 451 patients from intensive care unit who met the following criteria:≥18 years old, non-perinatal period, and a hospitalization length of≥3 days, excluding those with primary hematologic diseases, decompensated liver cirrhosis or chemotherapy history. In total, 101, 57, and 293 patients were diagnosed with overt-DIC (decompensated DIC), pre-DIC (compensated DIC), and non-DIC, respectively. The DIC scores were calculated in accordance with the diagnostic criteria outlined by the International Society on Thrombosis and Haemostasis (ISTH). Day 0 was defined as the day on which hemostatic biomarkers were detected. Global parameters including prothrombin time (PT), fibrinogen (FIB), fibrinogen degradation product (FDP), d-dimer, and platelet count were collected on day 0, 1, 3, 5, and 7. The spearman correlation analysis was used to analyze the linear relation. Binary logistic regression analysis and receiver operating characteristic curves were used to calculate the area under the receiver operating characteristic curve (AUC). The cutoff value maximizes the sum of the sensitivity and specificity. P