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Validation of the Thorax Trauma Severity Score for mortality and its value for the development of acute respiratory distress syndrome
BACKGROUND: The aim of the present study was to evaluate and to validate the Thorax Trauma Severity Score (TTSS) for mortality. METHODS: By database analysis 712 patients with an injury to the chest admitted to the Universal Medical Center Utrecht between 2000 and 2004 were studied. All patients wit...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2011
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4753967/ https://www.ncbi.nlm.nih.gov/pubmed/27147852 http://dx.doi.org/10.2147/OAEM.S22802 |
Sumario: | BACKGROUND: The aim of the present study was to evaluate and to validate the Thorax Trauma Severity Score (TTSS) for mortality. METHODS: By database analysis 712 patients with an injury to the chest admitted to the Universal Medical Center Utrecht between 2000 and 2004 were studied. All patients with a score of ≥1 on the AIS(thorax) were included in the study. The patients’ file was evaluated for: TTSS, intensive care unit stay, days on ventilation, thorax trauma-related complications (eg, acute respiratory distress syndrome [ARDS]), total hospital stay, and mortality. RESULTS: Of the 516 patients included in the study, 140 (27%) developed thorax-related complications. The overall in-hospital mortality rate was 10%. The receiver operating characteristic curve for predicting mortality demonstrated an adequate discrimination by a value of 0.844. The TTSS was statistically significant higher in patients who died of thorax-related complications than in patients who died because of nonthorax-related complications and survivors (P < 0.001, confidence interval [CI] 95%). In patients who developed ARDS the TTSS was significant higher (P = 0.005, CI 95%). CONCLUSION: This study supports the use of the TTSS for predicting mortality in thoracic injury patients. Furthermore, the TTSS appears capable of predicting ARDS. |
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