Proteomics of Coagulopathy Following Injury Reveals Limitations of Using Laboratory Assessment to Define Trauma-Induced Coagulopathy to Predict Massive Transfusion
| Autor: | Hunter B. Moore, MD, PhD, Matthew D. Neal, MD, Marnie Bertolet, PhD, Brian A. Joughin, PhD, Michael B. Yaffe, MD, PhD, Christopher D. Barrett, MD, Molly A. Bird, BS, Russell P. Tracy, PhD, Ernest E Moore, MD, Jason L. Sperry, MD, Brian S. Zuckerbraun, MD, Myung S. Park, MD, Mitchell J. Cohen, MD, Stephen R. Wisniewski, PhD, James H. Morrissey, PhD, TACTIC Investigators |
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| Jazyk: | angličtina |
| Rok vydání: | 2022 |
| Předmět: | |
| Zdroj: | Annals of Surgery Open, Vol 3, Iss 2, p e167 (2022) |
| Druh dokumentu: | article |
| ISSN: | 2691-3593 00000000 |
| DOI: | 10.1097/AS9.0000000000000167 |
| Popis: | Objective:. Trauma-induced coagulopathy (TIC) is provoked by multiple mechanisms and is perceived to be one driver of massive transfusions (MT). Single laboratory values using prothrombin time (INR) or thrombelastography (TEG) are used to clinically define this complex process. We used a proteomics approach to test whether current definitions of TIC (INR, TEG, or clinical judgment) are sufficient to capture the majority of protein changes associated with MT. Methods:. Eight level I trauma centers contributed blood samples from patients available early after injury. TIC was defined as INR >1.5 (INR-TIC), TEG maximum amplitude 10 units of red blood cells in 24 hours or >4 units RBC/hour during the first 4 hours. SomaLogic proteomic analysis of 1305 proteins was performed. Pathways associated with proteins dysregulated in patients with each TIC definition and MT were identified. Results:. Patients (n = 211) had a mean injury severity score of 24, with a MT and mortality rate of 22% and 12%, respectively. We identified 578 SOMAscan analytes dysregulated among MT patients, of which INR-TIC, TEG-TIC, and Clin-TIC patients showed dysregulation only in 25%, 3%, and 4% of these, respectively. TIC definitions jointly failed to show changes in 73% of the protein levels associated with MT, and failed to identify 26% of patients that received a massive transfusion. INR-TIC and TEG-TIC patients showed dysregulation of proteins significantly associated with complement activity. Proteins dysregulated in Clin-TIC or massive transfusion patients were not significantly associated with any pathway. Conclusion:. These data indicate there are unexplored opportunities to identify patients at risk for massive bleeding. Only a small subset of proteins that are dysregulated in patients receiving MT are statistically significantly dysregulated among patients whose TIC is defined based solely on laboratory measurements or clinical assessment. |
| Databáze: | Directory of Open Access Journals |
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