• Ulus Travma Acil Cer · Oct 2022

    Predicting mortality in severe polytrauma with limited resources.

    • Daniel Rajko Mijaljica, Pavle Gregoric, Nenad Ivancevic, Vedrana Pavlovic, Bojan Jovanovic, and Vladimir Djukic.
    • Clinic For Emergency Surgery, Emergency Center, Clinical Center Of Serbia, Pasterova 2, Belgrade, Serbia.
    • Ulus Travma Acil Cer. 2022 Oct 1; 28 (10): 140414111404-1411.

    BackgroundObjective evaluation of the severity of injured patients is crucial for the adequate triage, decision-making, operative and intensive care management, prevention, outcome studies and system quality assessment. This study aimed to compare six, widely- used, trauma scores as predictors of mortality, and to identify the most powerful among them in limited-resources settings.MethodsSeventy-five polytraumatized patients, admitted to the ICU of the Clinic for Emergency Surgery (Level 1 trauma center, CSS Belgrade) from June 2018-August 2020, were included in the study. The inclusion criteria were age≥16, ISS≥16 and SOFA≥5 points. Scores were evaluated using logistic regression model and analysis of areas under the receiver operating characteristic (ROC) curve (AUC).ResultsDuring the 26 months period, highly selected cases, mostly of blunt trauma (97.3%), due to a road traffic accident (68%) and free-falls (25.3%) were included. Surgery was indicated in 56 (74.7%) and non-operative treatment in 19 (25.3%) cases, with overall mortality rate at 36%. Logistic regression analysis demonstrated that all six trauma scores (ISS, NISS, APACHE2, SOFA, TRISS, KTS) were significant mortality predictors (p<0.001). Observed cut-off values for ISS: 39.5, NISS: 42, APACHE 2: 25, SOFA 6.5 points are predictive for mortality in non-survivors. A multivariate analysis showed that the most powerful mortality predictors are TRISS and APACHE 2 with AUCs: 0.9 and 0.866.ConclusionAccording to our study the most powerful mortality predictors are APACHE 2 and TRISS, even in limited-resources hospital settings, while statistically significant KTS, did not perform as expected. We propose the appliance of the KTS, as the tool for exploiting 'golden hour', ISS or NISS during admission stage and APACHE 2 or TRISS for use in the first 24 hours after admission to ICU.

      Pubmed     Free full text   Copy Citation     Plaintext  

      Add institutional full text...

    Notes

     
    Knowledge, pearl, summary or comment to share?
    300 characters remaining
    help        
    You can also include formatting, links, images and footnotes in your notes
    • Simple formatting can be added to notes, such as *italics*, _underline_ or **bold**.
    • Superscript can be denoted by <sup>text</sup> and subscript <sub>text</sub>.
    • Numbered or bulleted lists can be created using either numbered lines 1. 2. 3., hyphens - or asterisks *.
    • Links can be included with: [my link to pubmed](http://pubmed.com)
    • Images can be included with: ![alt text](https://bestmedicaljournal.com/study_graph.jpg "Image Title Text")
    • For footnotes use [^1](This is a footnote.) inline.
    • Or use an inline reference [^1] to refer to a longer footnote elseweher in the document [^1]: This is a long footnote..

    hide…

What will the 'Medical Journal of You' look like?

Start your free 21 day trial now.

We guarantee your privacy. Your email address will not be shared.