failure after SBP<90: 0.408 (1.504) as GCS, transfused pRBCs and base multiple trauma: Overall inpatient mortality: BD 3-6: 0.331 (1.392) deficit”. An analysis of 16.2% BD 6-15: 0.448 (1.565) 31154 patients Mean age 48y BD >15: 0.931 (2.536) from the Trauma 96% blunt Register DGU Looked at predictors of MOF using multivariate analysis using stepwise logistic regression. (MOF as the dependent variable). Looked at demographics, injury patterns, transfusion requirments. Paffrath T et How to define Trauma Register DGU Risk factors not directly compared but: suggested physiological risk “Our al 2014 severely injured 1993-2011 BD >6 increased mortality from 14.3% factors have been shown to be precise patients? An Primary Admissions, 48 hour to 40.6% predictors for mortality and are injury severity hospital stay, ISS>15 included. SBP <90mmHg increased mortality from already available within the first score (ISS) based N = 45350 13.9% to 37.4% hour” approach alone is >90% blunt not sufficient. Examined various physiological factor that predict mortality with a view to improve definition of the “severely injured patient” Used five arbitrary defined physiological risk factors: Gender High age >70years Acidosis BD >6 Unconsciousness GCS 3-8 Hypotension SBP<90 Coagulopathy INR >1.4 or PTT ≥40s Mutschler M Assessment of Trauma Register DGU 2002-11. 26.5% matched all 3. on a large cohort of severely “Based et al 2014 hypovolaemic >16 y injured patients…this study at the scene: Primary admission to a Trauma Selected values: demonstrates that the PHTLS is the PHTLS Register DGU affiliated hospital HR <100: Mean SBP 125 classification of hypovolaemic shock classification of HR >140: Mean SBP 111 has substantial deficits in adequately hypovolaemic N = 46689 risk-stratifying trauma patients.”
failure after multiple trauma: An analysis of 31154 patients from the Trauma Register DGU Overall inpatient mortality: 16.2% Mean age 48y 96% blunt Looked at predictors of MOF using multivariate analysis using stepwise logistic regression. (MOF as the dependent variable). Looked at demographics, injury patterns, transfusion requirments. SBP<90: 0.408 (1.504) BD 3-6: 0.331 (1.392) BD 6-15: 0.448 (1.565) BD >15: 0.931 (2.536) as GCS, transfused pRBCs and base deficit”. Paffrath T et al 2014 How to define severely injured patients? An injury severity score (ISS) based approach alone is not sufficient. Trauma Register DGU 1993-2011 Primary Admissions, 48 hour hospital stay, ISS>15 included. N = 45350 >90% blunt Examined various physiological factor that predict mortality with a view to improve definition of the “severely injured patient” Used five arbitrary defined physiological risk factors: Gender High age >70years Acidosis BD >6 Unconsciousness GCS 3-8 Hypotension SBP<90 Coagulopathy INR >1.4 or PTT ≥40s Risk factors not directly compared but: BD >6 increased mortality from 14.3% to 40.6% SBP <90mmHg increased mortality from 13.9% to 37.4% “Our suggested physiological risk factors have been shown to be precise predictors for mortality and are already available within the first hour” Mutschler M et al 2014 Assessment of hypovolaemic at the scene: is the PHTLS classification of hypovolaemic Trauma Register DGU 2002-11. >16 y Primary admission to a Trauma Register DGU affiliated hospital N = 46689 26.5% matched all 3. Selected values: HR <100: Mean SBP 125 HR >140: Mean SBP 111 “Based on a large cohort of severely injured patients…this study demonstrates that the PHTLS classification of hypovolaemic shock has substantial deficits in adequately risk-stratifying trauma patients.”
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