BACKGROUND: To develop a simple scoring system that allows an early and reliable estimation for the probability of mass transfusion (MT) as a surrogate for life threatening hemorrhage following multiple trauma. METHODS: Potential clinical and laboratory variables documented in the Trauma Registry of the German Trauma Society (DGU) (1993-2003; n=17,200) were subjected to univariate and multivariate logistic regression analysis to predict the probability for MT. RESULTS: Clinical and laboratory variables available from data sets were screened for their association with mass transfusion. MT was defined by transfusion requirement of >or=10 units of packed red blood cells from emergency room (ER) to intensive care unit admission. Seven independent variables were identified to be significantly correlated with an increased probability for MT: systolic blood pressure (<100 mm Hg=4 pts, <120 mm Hg=1 pt), hemoglobin (<7 g/dL=8 pts, <9 g/dL=6 pts, <10 g/dL=4 pts, <11 g/dL=3 pts, and <12 g/dL=2 pts), intra-abdominal fluid (3 pts), complex long bone and/or pelvic fractures (AIS 3/4=3 pts and AIS 5=6 pts), heart rate (>120=2 pts), base excess (<-10 mmol/L=4 pts, <-6 mmol/L=3 pts, and <-2 mmol/L=1 pt), and gender (male=1 pt). These variables were incorporated into a risk score, the Trauma Associated Severe Hemorrhage Score (TASH-Score, 0-28 points). Performance of the score was tested with respect to discrimination, precision, and calibration. Increasing TASH-Score points were associated with an increasing probability for MT. CONCLUSION: The TASH-Score is an easy-to-use scoring system that reliably predicts the probability for MT after multiple trauma. Taken as a surrogate for life threatening bleeding calculation may focus attention on relevant variables indicative for risk and impact strategies to stop bleeding and stabilize coagulation in acute trauma care.
BACKGROUND: To develop a simple scoring system that allows an early and reliable estimation for the probability of mass transfusion (MT) as a surrogate for life threatening hemorrhage following multiple trauma. METHODS: Potential clinical and laboratory variables documented in the Trauma Registry of the German Trauma Society (DGU) (1993-2003; n=17,200) were subjected to univariate and multivariate logistic regression analysis to predict the probability for MT. RESULTS: Clinical and laboratory variables available from data sets were screened for their association with mass transfusion. MT was defined by transfusion requirement of >or=10 units of packed red blood cells from emergency room (ER) to intensive care unit admission. Seven independent variables were identified to be significantly correlated with an increased probability for MT: systolic blood pressure (<100 mm Hg=4 pts, <120 mm Hg=1 pt), hemoglobin (<7 g/dL=8 pts, <9 g/dL=6 pts, <10 g/dL=4 pts, <11 g/dL=3 pts, and <12 g/dL=2 pts), intra-abdominal fluid (3 pts), complex long bone and/or pelvic fractures (AIS 3/4=3 pts and AIS 5=6 pts), heart rate (>120=2 pts), base excess (<-10 mmol/L=4 pts, <-6 mmol/L=3 pts, and <-2 mmol/L=1 pt), and gender (male=1 pt). These variables were incorporated into a risk score, the Trauma Associated Severe Hemorrhage Score (TASH-Score, 0-28 points). Performance of the score was tested with respect to discrimination, precision, and calibration. Increasing TASH-Score points were associated with an increasing probability for MT. CONCLUSION: The TASH-Score is an easy-to-use scoring system that reliably predicts the probability for MT after multiple trauma. Taken as a surrogate for life threatening bleeding calculation may focus attention on relevant variables indicative for risk and impact strategies to stop bleeding and stabilize coagulation in acute trauma care.
Authors: Lisa M Brown; Seppo O Aro; Mitchell J Cohen; J B Holcomb; C E Wade; K J Brasel; G Vercruysse; J MacLeod; R P Dutton; J R Hess; J C Duchesne; N E McSwain; P Muskat; J Johannigamn; H M Cryer; A Tillou; J F Pittet; P Knudson; M A De Moya; M A Schreiber; B Tieu; S Brundage; L M Napolitano; M Brunsvold; K C Sihler; G Beilman; A B Peitzman; M S Zenait; J Sperry; L Alarcon; M A Croce; J P Minei; R Kozar; E A Gonzalez; R M Stewart; S M Cohn; J E Mickalek; E M Bulger; B A Cotton; T C Nunez; R Ivatury; J W Meredith; P Miller; G J Pomper; B Marin Journal: J Trauma Date: 2011-08
Authors: Chad G Ball; Jeffrey P Salomone; Beth Shaz; Christopher J Dente; Clarisse Tallah; Kelly Anderson; Grace S Rozycki; David V Feliciano Journal: Can J Surg Date: 2011-04 Impact factor: 2.089
Authors: Rolf Rossaint; Bertil Bouillon; Vladimir Cerny; Timothy J Coats; Jacques Duranteau; Enrique Fernández-Mondéjar; Beverley J Hunt; Radko Komadina; Giuseppe Nardi; Edmund Neugebauer; Yves Ozier; Louis Riddez; Arthur Schultz; Philip F Stahel; Jean-Louis Vincent; Donat R Spahn Journal: Crit Care Date: 2010-04-06 Impact factor: 9.097