• J Trauma · Oct 1996

    "Sepsis/SIRS," physiologic classification, severity stratification, relation to cytokine elaboration and outcome prediction in posttrauma critical illness.

    • D Rixen, J H Siegel, and H P Friedman.
    • Department of Surgery, New Jersey Medical School, Newark 07103, USA.
    • J Trauma. 1996 Oct 1;41(4):581-98.

    ObjectiveTo develop a quantitative severity stratification within the framework of a Physiologic State Classification (PSSC) system that can be applied to critically ill post-trauma patients with "sepsis/SIRS" and to relate PSSC to the nature of the plasma cytokine response.Materials And MethodsAt each study time period, a patient was classified into one of seven physiologic States previously derived from clustering 17 cardiopulmonary and metabolic variables from 338 critically ill patients: R = reference, A = normal stress response, B = metabolic insufficiency, C1 (early) and C2 (late) = respiratory insufficiency, D = cardiogenic insufficiency, H = nonshock hypovolemia.Main ResultsThe PSSC used State data from a developmental set of 159 trauma patients in a logistic model (L2PDEATH) to provide a quantitative index of severity. This severity index was tested on 80 new trauma patients (mean injury Severity Score (ISS) = 27.6, 64% survivors). Using PSSC State distributions for evaluation of enzyme-linked immunosorbent assay (ELISA) measured cytokines interleukin (IL)-1, IL-6, IL-8, tumor necrosis factor (TNF) showed the multicytokine score to be greatest in those C2- and B-State regions associated with a higher severity as measured by L2PDEATH. Compared with ARDEATH of the Acute Physiology and Chronic Health Evaluation (APACHE) II scoring system, L2PDEATH provided a better indicator of severity of sepsis/systemic inflammatory response syndrome (SIRS) for posttrauma patients.ConclusionsPSSC allows classification of the physiologic and cytokine mediator response to trauma and permits stratification of severity in posttrauma critical illness.

      Pubmed     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…