Benefit Profile of Thrombomodulin Alfa Combined with Antithrombin Concentrate in Patients with Sepsis-Induced Disseminated Intravascular Coagulation.
Atsushi MuraoTakayuki KatoTetsunobu YamaneGoichi HondaYutaka EguchiPublished in: Clinical and applied thrombosis/hemostasis : official journal of the International Academy of Clinical and Applied Thrombosis/Hemostasis (2022)
Thrombomodulin alfa (TM-α, recombinant human soluble thrombomodulin) and antithrombin (AT) concentrate are anticoagulant agents for the treatment of disseminated intravascular coagulation (DIC). A post hoc analysis using data from 1198 patients with infection-induced DIC from the post-marketing surveillance of TM-α was conducted. To identify subgroups that benefit from combination therapy, the patients were a priori stratified into four groups by a platelet (Plt) count of 50 × 10 3 /μL and plasma AT level of 50% (groups 1, 2, 3, and 4, with high Plt/high AT, high Plt/low AT, low Plt/high AT, and low Plt/low AT, respectively). Kaplan-Meier survival analysis showed significantly worse survival in groups 2 and 4 had than in group 1 (p = 0.0480, p < 0.0001, respectively), and multivariate analysis showed that concomitant AT concentrate was independently correlated with reduced 28-day mortality only in group 4 (hazard ratio 0.6193; 95% confidence interval, 0.3912-0.9805). The adverse drug reactions (ADRs) and bleeding ADRs were not different among the groups. Patients with both severe thrombocytopenia and AT deficiency are candidates for combined anticoagulant therapy with TM-α and AT concentrate.
Keyphrases
- recombinant human
- combination therapy
- adverse drug
- atrial fibrillation
- replacement therapy
- end stage renal disease
- venous thromboembolism
- drug induced
- high glucose
- coronary artery
- diabetic rats
- intensive care unit
- newly diagnosed
- chronic kidney disease
- emergency department
- electronic health record
- cardiovascular disease
- type diabetes
- machine learning
- big data
- endothelial cells
- oxidative stress
- cardiovascular events
- data analysis
- coronary artery disease
- smoking cessation
- septic shock
- artificial intelligence
- deep learning
- water quality