Tarik David Madni1, Akpofure Peter Ekeh, Scott C Brakenridge, Karen J Brasel, Bellal Joseph, Kenji Inaba, Brandon R Bruns, Jeffrey D Kerby, Joseph Cuschieri, M Jane Mohler, Paul A Nakonezny, Audra Clark, Jonathan Imran, Steven E Wolf, M Elizabeth Paulk, Ramona L Rhodes, Herb A Phelan. 1. From the Department of Surgery (T.D.M.), University of Texas-Southwestern Medical Center, Dallas, Texas; Wright State Physicians, Division of Acute Care Surgery (A.P.E.), Dayton, Ohio; Division of Acute Care Surgery (S.C.B.), University of Florida, Gainesville, Florida; Division of Trauma, Critical Care, and Acute Care Surgery (K.J.B.), Oregon Health Sciences University, Portland, Oregon; Division of Trauma (B.J.), Critical Care, Burn, and Emergency Surgery, University of Arizona, Tucson, Arizona; Division of Acute Care Surgery and Surgical Critical Care (K.I.), University of Southern California, Los Angeles, California; R Adams Cowley Shock Trauma Center at the University of Maryland (B.R.B.), Baltimore, Maryland; Division of Trauma, Burns, and Surgical Critical Care (J.D.K.), UAB Medical Center, Birmingham, Alabama; Division of Trauma, Burn, and Critical Care Surgery (J.C.), University of Washington, Seattle, Washington; Department of Medicine (M.J.M.), University of Arizona, Tucson, Arizona; Division of Biostatistics, Department of Clinical Sciences (P.A.N.), Department of Surgery (A.C., J.I.), Division of Burns/Trauma/Critical Care (S.E.W., H.A.P.), Department of Internal Medicine (M.E.P.), Palliative Medicine, Division of Geriatrics (R.L.R.), Palliative Medicine, University of Texas-Southwestern Medical Center, Dallas, Texas.
Abstract
BACKGROUND: The nine-center Prognostic Assessment of Life and Limitations After Trauma in the Elderly consortium has validated the Geriatric Trauma Outcome Score (GTOS) as a prognosis calculator for injured elders. We compared GTOS' performance to that of the Trauma Injury Severity Score (TRISS) in a multicenter sample. METHODS: Three Prognostic Assessment of Life and Limitations After Trauma in the Elderly centers not submitting subjects to the GTOS validation study identified subjects aged 65 years to 102 years admitted from 2000 to 2013. GTOS was specified using the formula [GTOS = age + (Injury Severity Score [ISS] × 2.5) + 22 (if transfused packed red cells (PRC) at 24 hours)]. TRISS uses the Revised Trauma Score (RTS), dichotomizes age (<55 years = 0 and ≥55 years = 1), and was specified using the updated 1995 beta coefficients. TRISS Penetrating was specified as [TRISSP = -2.5355 + (0.9934 × RTS) + (-0.0651 × ISS) + (-1.1360 × Age)]. TRISS Blunt was specified as [TRISSB = -0.4499 + (0.8085 × RTS Total) + (-0.0835 × ISS) + (-1.7430 × Age)]. Each then became the sole predictor in a separate logistic regression model to estimate probability of mortality. Model performances were evaluated using misclassification rate, Brier score, and area under the curve. RESULTS: Demographics (mean + SD) of subjects with complete data (N = 10,894) were age, 78.3 years ± 8.1 years; ISS, 10.9 ± 8.4; RTS = 7.5 ± 1.1; mortality = 6.9%; blunt mechanism = 98.6%; 3.1 % of subjects received PRCs. The penetrating trauma subsample (n = 150) had a higher mortality rate of 20.0%. The misclassification rates for the models were GTOS, 0.065; TRISSB, 0.051; and TRISSP, 0.120. Brier scores were GTOS, 0.052; TRISSB, 0.041; and TRISSP, 0.084. The area under the curves were GTOS, 0.844; TRISSB, 0.889; and TRISSP, 0.897. CONCLUSION: GTOS and TRISS function similarly and accurately in predicting probability of death for injured elders. GTOS has the advantages of a single formula, fewer variables, and no reliance on data collected in the emergency room or by other observers. LEVEL OF EVIDENCE: Prognostic, level II.
BACKGROUND: The nine-center Prognostic Assessment of Life and Limitations After Trauma in the Elderly consortium has validated the Geriatric Trauma Outcome Score (GTOS) as a prognosis calculator for injured elders. We compared GTOS' performance to that of the Trauma Injury Severity Score (TRISS) in a multicenter sample. METHODS: Three Prognostic Assessment of Life and Limitations After Trauma in the Elderly centers not submitting subjects to the GTOS validation study identified subjects aged 65 years to 102 years admitted from 2000 to 2013. GTOS was specified using the formula [GTOS = age + (Injury Severity Score [ISS] × 2.5) + 22 (if transfused packed red cells (PRC) at 24 hours)]. TRISS uses the Revised Trauma Score (RTS), dichotomizes age (<55 years = 0 and ≥55 years = 1), and was specified using the updated 1995 beta coefficients. TRISS Penetrating was specified as [TRISSP = -2.5355 + (0.9934 × RTS) + (-0.0651 × ISS) + (-1.1360 × Age)]. TRISS Blunt was specified as [TRISSB = -0.4499 + (0.8085 × RTS Total) + (-0.0835 × ISS) + (-1.7430 × Age)]. Each then became the sole predictor in a separate logistic regression model to estimate probability of mortality. Model performances were evaluated using misclassification rate, Brier score, and area under the curve. RESULTS: Demographics (mean + SD) of subjects with complete data (N = 10,894) were age, 78.3 years ± 8.1 years; ISS, 10.9 ± 8.4; RTS = 7.5 ± 1.1; mortality = 6.9%; blunt mechanism = 98.6%; 3.1 % of subjects received PRCs. The penetrating trauma subsample (n = 150) had a higher mortality rate of 20.0%. The misclassification rates for the models were GTOS, 0.065; TRISSB, 0.051; and TRISSP, 0.120. Brier scores were GTOS, 0.052; TRISSB, 0.041; and TRISSP, 0.084. The area under the curves were GTOS, 0.844; TRISSB, 0.889; and TRISSP, 0.897. CONCLUSION: GTOS and TRISS function similarly and accurately in predicting probability of death for injured elders. GTOS has the advantages of a single formula, fewer variables, and no reliance on data collected in the emergency room or by other observers. LEVEL OF EVIDENCE: Prognostic, level II.
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