• António Nogueira Sousa, José A Paiva, Sara A Fonseca, Frederico J Raposo, Alvaro M Loureiro, Luís F Valente, António M Gonçalves, Abel T Cabral, and Luís Almeida.
• Serviço de Urgência, Hospital São João, Porto, Portugal.
• Acta Medica Port. 2011 Nov 1;24(6):943-50.

BackgroundThe improvement rescue and transport of politrauma patients (PTP) increases the number of patients admitted to the Emergency departments in very severe conditions. The early prediction of later complications and bad outcomes is paramount for a good strategy. The aim of this study was to evaluate the severity of PTP in the Trauma Room (TR) of a Level 1 Hospital, using the ISS, RTS, TRISS scores and define variables associated with bad outcomes, namely ICU admission (ICU), ARDS, MODS and Death.Material/MethodsProspective study with data collection of demographic, clinical, laboratory and imaging parameters of all PTP admitted to the TR. The ISS was calculated by the Abbreviated Injury Scale, RTS and TRISS by Trauma.org site formulas. Statistical analysis was performed in SPSS.Results278 patients were admitted in TR after Manchester screening during 6 months: 244 (185 men, 59 women) were studied, average age 39,32±19.32 years. Hospital admission- 157 patients (ICU-46, Intermediate Care Unit-29, Surgery Services-82) and 85 discharged. Submitted to Surgery-75. Scores: ISS-13,58±19,32, RTS-7,30±1,01; TRISS-92,42±15,85; Glasgow Coma Score (GCS)-13,00±3,61.Severe complications: ARDS-8%; SIRS-40%; MODS-18%; Death-14%.DiscussionThere is statistical correlation between Surgery Type: ICU and MODS; GCS, ISS, RTS, TRISS: ICU, ARDS, MODS and Death. Multivariate analysis shows that Surgery Type, GCS and TRISS predict ICU admission (ROC-0,884); TRISS predicts ARDS (ROC-0,844); TRISS predicts MODS (ROC-0,876); TRISS and age predicts Death (ROC-0,887).ConclusionsThis study confirms scores validity in PTP assessment, as they are able to predict severe complications. TRISS seems to be the best score for prediction of bad outcomes.

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