Predicting In-Hospital and 1-Year Mortality in Geriatric Trauma Patients Using Geriatric Trauma Outcome Score

被引:24
|
作者
Ahl, Rebecka [1 ,4 ]
Phelan, Herb A. [6 ]
Dogan, Sinan [3 ]
Cao, Yang [1 ,2 ,5 ]
Cook, Allyson C. [6 ]
Mohseni, Shahin [1 ,3 ,4 ]
机构
[1] Univ Orebro, Sch Med Sci, Orebro, Sweden
[2] Univ Orebro, Clin Epidemiol & Biostat, Orebro, Sweden
[3] Orebro Univ Hosp, Dept Surg, Div Trauma & Emergency Surg, Orebro, Sweden
[4] Karolinska Univ Hosp, Dept Surg, Div Trauma & Emergency Surg, Stockholm, Sweden
[5] Karolinska Inst, Inst Environm Med, Unit Biostat, Stockholm, Sweden
[6] UT Southwestern Med Ctr, Parkland Mem Hosp, Dallas, TX USA
关键词
INJURY SEVERITY; RISK; AGE;
D O I
10.1016/j.jamcollsurg.2016.12.011
中图分类号
R61 [外科手术学];
学科分类号
摘要
BACKGROUND: The Geriatric Trauma Outcome Score (GTOS; [age] + [2.5 x Injury Severity Score] + 22 [if packed RBC transfused within <= 24 hours of admission]), was developed and validated as a prognostic indicator for in-hospital mortality in elderly trauma patients. However, GTOS neither provides information about post-discharge outcomes nor discriminates between patients dying with and without care restrictions. Isolating the latter, GTOS prediction performance was examined during admission and 1-year post discharge in a mature European trauma registry. STUDY DESIGN: All trauma admissions 65 years of age and older in a university hospital during 2007 to 2011 were considered. Data on age, Injury Severity Score, packed RBC transfusion within <= 24 hours, therapy restrictions, discharge disposition, and mortality were collected. In-hospital deaths with therapy restrictions and patients discharged to hospice were excluded. The GTOS was the sole predictor in a logistic regression model estimating mortality probabilities. Performance of the model was assessed by misclassification rate, Brier score, Tjur R-2, and area under the curve. RESULTS: The study population was 1,080 patients with a median age of 75 years, mean Injury Severity Score of 10, and packed RBCs transfused in 8.2%. In-hospital mortality was 14.9% and 7.7% after exclusions. Misclassification rate fell from 14% to 6.5% and Brier score from 0.09 to 0.05, and area under the curve increased from 0.87 to 0.88. Equivalent values for the original GTOS sample were 9.8%, 0.07, and 0.82, respectively. One-year mortality followup showed a misclassification rate of 17.6% and Brier score of 0.13. CONCLUSIONS: Excluding patients with care restrictions and discharged to hospice improved GTOS performance for in-hospital mortality prediction. The GTOS is not adept at predicting 1-year mortality. (C) 2016 by the American College of Surgeons. Published by Elsevier Inc. All rights reserved.)
引用
收藏
页码:264 / 269
页数:6
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