TY  - JOUR
PY  - 2018//
TI  - Predictors of discharge destination in patients with major traumatic injury: analysis of Oklahoma Trauma Registry
JO  - American journal of surgery
A1  - Khorgami, Zhamak
A1  - Ewing, Kaily L.
A1  - Mushtaq, Nasir
A1  - Chow, Geoffrey S.
A1  - Howard, C. Anthony
SP  - ePub
EP  - ePub
VL  - ePub
IS  - ePub
N2  - BACKGROUND: The ability to predict the need for discharge of trauma patients to a facility may help shorten hospital stay. This study aimed to determine the predictors of discharge to a facility and develop and validate a predictive scoring model, utilizing the Oklahoma Trauma Registry (OTR). <br><br>METHODS: A multivariate analysis of the OTR 2005-2013 determined independent predictors of discharge to a facility. A scoring model was developed, and positive and negative predictive values (PPV and NPV) were evaluated for 2014 patients. <br><br>RESULTS: 101,656 patients were analyzed. The scoring model included age≥50 years, lower extremity fracture, ICU stay≥5 days, pelvic fracture, intracranial hemorrhage, congestive heart failure, cardiac dysrhythmia, history of CVA or TIA, and ISS≥15, spine fracture, diabetes mellitus, hypertension, ischemic heart disease, and chronic obstructive pulmonary disease. Applying the model to 2014 patients, PPV for predicting discharge to a facility was 84.9% for scores≥15, and NPV was 90.5% for scores<8. <br><br>CONCLUSION: A scoring model including age, trauma severity, types of injury, and comorbidities could predict discharge of trauma patients to a facility. Further studies are needed to refine the efficacy of the model.<br><br>Copyright © 2018 Elsevier Inc. All rights reserved.<p />  <p>Language: en</p>
LA  - en
SN  - 0002-9610
UR  - http://dx.doi.org/10.1016/j.amjsurg.2018.11.045
ID  - ref1
ER  -