BACKGROUND: The aim of this study was to diagnose hyperfibrinolysis (HF) and its pattern using thrombelastometry and to correlate the diagnosis with mortality. Furthermore, routine laboratory based and the rotational thrombelastometry analyzer (ROTEM)-derived variables were also correlated with survival. METHODS: Severe trauma patients showing HF in ROTEM were consecutively enrolled in the study. Three different HF patterns were compared: fulminant breakdown within 30 minutes, intermediate HF of 30 to 60 minutes, and late HF after 60 minutes. Injury severity score (ISS), hemodynamics, hemoglobin, hematocrit, platelet count (PC), fibrinogen, and ROTEM variables at admission were analyzed. The observed mortality was compared with the predicted trauma and injury severity score mortality. RESULTS: Thirty-three patients were diagnosed with HF. The mean ISS was 47 +/- 14. Fulminant, intermediate, or late HF (n = 11 each group) resulted in 100%, 91%, or 73% mortality, respectively, with the best prognosis for late HF (p = 0.0031). The actual overall mortality of HF (88%) exceeded the predicted trauma and injury severity score mortality (70%) (p = 0.039). Lower PC (123 +/- 53 vs. 193 +/- 91; p = 0.034), ROTEM prolonged clot formation time [CFT, 359 (140/632) vs. 82 (14/190); p = 0.042], and lower platelet contribution to maximum clot firmness [MCF(EXTEM) - MCF(FIBTEM), 34 (20/40) vs. 46 (40/53); p = 0.026] were associated with increased mortality. CONCLUSION: ROTEM-based diagnosis of HF predicted outcome. Further independent predictors of death were combination of HF with hemorrhagic shock, low PC, and prolonged CFT in ROTEM. ROTEM-based point of care testing in the emergency room is thus able to identify prognostic factors such as prolonged CFT and low platelet contribution to clot firmness (MCF(EX) - MCF(FIB)) earlier than standard laboratory-based monitoring.
BACKGROUND: The aim of this study was to diagnose hyperfibrinolysis (HF) and its pattern using thrombelastometry and to correlate the diagnosis with mortality. Furthermore, routine laboratory based and the rotational thrombelastometry analyzer (ROTEM)-derived variables were also correlated with survival. METHODS: Severe traumapatients showing HF in ROTEM were consecutively enrolled in the study. Three different HF patterns were compared: fulminant breakdown within 30 minutes, intermediate HF of 30 to 60 minutes, and late HF after 60 minutes. Injury severity score (ISS), hemodynamics, hemoglobin, hematocrit, platelet count (PC), fibrinogen, and ROTEM variables at admission were analyzed. The observed mortality was compared with the predicted trauma and injury severity score mortality. RESULTS: Thirty-three patients were diagnosed with HF. The mean ISS was 47 +/- 14. Fulminant, intermediate, or late HF (n = 11 each group) resulted in 100%, 91%, or 73% mortality, respectively, with the best prognosis for late HF (p = 0.0031). The actual overall mortality of HF (88%) exceeded the predicted trauma and injury severity score mortality (70%) (p = 0.039). Lower PC (123 +/- 53 vs. 193 +/- 91; p = 0.034), ROTEM prolonged clot formation time [CFT, 359 (140/632) vs. 82 (14/190); p = 0.042], and lower platelet contribution to maximum clot firmness [MCF(EXTEM) - MCF(FIBTEM), 34 (20/40) vs. 46 (40/53); p = 0.026] were associated with increased mortality. CONCLUSION: ROTEM-based diagnosis of HF predicted outcome. Further independent predictors of death were combination of HF with hemorrhagic shock, low PC, and prolonged CFT in ROTEM. ROTEM-based point of care testing in the emergency room is thus able to identify prognostic factors such as prolonged CFT and low platelet contribution to clot firmness (MCF(EX) - MCF(FIB)) earlier than standard laboratory-based monitoring.
Authors: Mareike Kristina Keller; Axel Pruss; Michael Sander; Claudia Spies; Helge Schoenfeld; Michael Schuster; Kristian Meinck; Klaus-Dieter Wernecke; Christian Von Heymann Journal: Blood Transfus Date: 2012-03-28 Impact factor: 3.443
Authors: Nathan J White; Jason C Newton; Erika J Martin; Bassem M Mohammed; Daniel Contaifer; Jessica L Bostic; Gretchen M Brophy; Bruce D Spiess; Anthony E Pusateri; Kevin R Ward; Donald F Brophy Journal: Shock Date: 2015-08 Impact factor: 3.454
Authors: Ernest E Moore; Hunter B Moore; Eduardo Gonzalez; Michael P Chapman; Kirk C Hansen; Angela Sauaia; Christopher C Silliman; Anirban Banerjee Journal: J Trauma Acute Care Surg Date: 2015-06 Impact factor: 3.313
Authors: Anirban Banerjee; Christopher C Silliman; Ernest E Moore; Monika Dzieciatkowska; Marguerite Kelher; Angela Sauaia; Kenneth Jones; Michael P Chapman; Eduardo Gonzalez; Hunter B Moore; Angelo D'Alessandro; Erik Peltz; Benjamin E Huebner; Peter Einerson; James Chandler; Arsen Ghasabayan; Kirk Hansen Journal: J Trauma Acute Care Surg Date: 2018-06 Impact factor: 3.313