• Critical care medicine · Apr 2009

    Predisposition, insult/infection, response, and organ dysfunction: A new model for staging severe sepsis.

    • Francesca Rubulotta, John C Marshall, Graham Ramsay, David Nelson, Mitchell Levy, and Mark Williams.
    • Policlinico University Hospital Catania, Italy. frubulotta@hotmail.com
    • Crit. Care Med. 2009 Apr 1;37(4):1329-35.

    ObjectiveTo generate and validate an initial version of the predisposition, insult/infection, response, and organ dysfunction (PIRO) staging model for risk stratification in severe sepsis. The goal was to create distinct levels of mortality risk within each of the four categories (P, I, R, and O), and that these risk levels would be meaningful in terms of prediction independent of the other categories.Design: Retrospective analysis using a statistical model utilizing two large, global databases of patients with severe sepsis.Setting And PatientsDatabase #1: Placebo-treated patients from a phase III clinical trial of patients with severe sepsis (PROtein C Worldwide Evaluation in Severe Sepsis [PROWESS], 840 patients). Database #2: Global severe sepsis registry performed in 276 intensive care units in 37 countries (PROmoting Global Research Excellence in Severe Sepsis [PROGRESS], 10,610 patients).InterventionsNone.MethodsClassification and regression trees were used to classify patients and derive a scoring system from the PROWESS and PROGRESS databases with internal validation. Regression tree parameters included Chi-square tests and a minimum of five patients per node. The risk levels were done in a stepwise manner, adjusting for the previous categories. Initially, the predisposition scoring was developed, and subsequently, the infection scoring was then developed after adjusting for the predisposition levels, and so on. Logistic regression analyses, odds ratios, and area under the receiver operator characteristic curve were used to evaluate the scoring systems.Measurements And Main ResultsEach of the four PIRO components had similar odds ratios in multivariable logistic regressions. In PROWESS, the correlation of the PIRO total score and in-hospital mortality rates was 0.974 (p < 0.0001), and in PROGRESS, the correlation of the PIRO total score and hospital mortality rates was 0.998 (p < 0.0001).ConclusionsPIRO can develop into an effective model for staging severe sepsis, seems to be predictive of mortality, and may be useful in future sepsis research.

      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…