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Predicting In-Hospital and 1-Year Mortality in Geriatric Trauma Patients Using Geriatric Trauma Outcome Score
Örebro universitet, Institutionen för medicinska vetenskaper. Department of Surgery, Division of Trauma and Emergency Surgery, Karolinska University Hospital, Stockholm, Sweden.
Univ of Texas Southwestern Medical Center, Parkland Memorial Hospital, Dallas, USA.
Department of Surgery, Division of Trauma and Emergency Surgery, Örebro University Hospital, Örebro, Sweden.
Örebro universitet, Institutionen för medicinska vetenskaper. Region Örebro län. Unit of Biostatistics, Institute of Environmental Medicine, Karolinska Institutet, Stockholm, Sweden. (Clinical Epidemiology and Biostatistics)ORCID-id: 0000-0002-3552-9153
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2017 (Engelska)Ingår i: Journal of the American College of Surgeons, ISSN 1072-7515, E-ISSN 1879-1190, Vol. 224, nr 3, s. 264-269Artikel i tidskrift (Refereegranskat) Published
Abstract [en]

Background: The Geriatric Trauma Outcome Score, GTOS (= [age] + [Injury Severity Score (ISS)x2.5] + 22 [if packed red blood cells (PRBC) transfused ≤24hrs of admission]), was developed and validated as a prognostic indicator for in-hospital mortality in elderly trauma patients. However, GTOS neither provides information regarding 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 ≥65years in a university hospital during 2007-2011 were considered. Data regarding age, ISS, PRBC transfusion ≤24hrs, therapy restrictions, discharge disposition and mortality were collected. In-hospital deaths with therapy restrictions and patients discharged to hospice were excluded. GTOS was the sole predictor in a logistic regression model estimating mortality probabilities. Performance of the model was assessed by misclassification rate, Brier score and area under the curve (AUC).

Results: The study population was 1080 subjects with a median age of 75 years, mean ISS of 10 and PRBC transfused in 8.2%). In-hospital mortality was 14.9% and 7.7% after exclusions. Misclassification rate fell from 14% to 6.5%, Brier score from 0.09 to 0.05. AUC increased from 0.87 to 0.88. Equivalent values for the original GTOS sample were 9.8%, 0.07, and 0.87. One-year mortality follow-up showed a misclassification rate of 17.6%, and Brier score of 0.13.

Conclusion: Excluding patients with care restrictions and discharged to hospice improved GTOS performance for in-hospital mortality prediction. GTOS is not adept at predicting 1-year mortality.

Ort, förlag, år, upplaga, sidor
Elsevier, 2017. Vol. 224, nr 3, s. 264-269
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Kirurgi
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URN: urn:nbn:se:oru:diva-54398DOI: 10.1016/j.jamcollsurg.2016.12.011ISI: 000397020300005PubMedID: 28017806Scopus ID: 2-s2.0-85009820274OAI: oai:DiVA.org:oru-54398DiVA, id: diva2:1072537
Tillgänglig från: 2017-02-08 Skapad: 2017-01-10 Senast uppdaterad: 2018-09-04Bibliografiskt granskad

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Cao, YangMohseni, Shahin

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