Predisposition, Insult/Infection, Response and Organ Dysfunction (PIRO): A Pilot Clinical Staging System for Hospital Mortality in Patients with Infection

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Abstract

Purpose:To develop a clinical staging system based on the PIRO concept (Predisposition, Infection, Response and Organ dysfunction) for hospitalized patients with infection.Methods:One year prospective cohort study of all hospitalized patients with infection (n = 1035), admitted into a large tertiary care, university hospital. Variables associated with hospital mortality were selected using logistic regressions. Based on the regression coefficients, a score for each PIRO component was developed and a classification tree was used to stratify patients into four stages of increased risk of hospital mortality. The final clinical staging system was then validated using an independent cohort (n = 186).Results:Factors significantly associated with hospital mortality were • for Predisposition: age, sex, previous antibiotic therapy, chronic hepatic disease, chronic hematologic disease, cancer, atherosclerosis and a Karnofsky index<70; • for Insult/Infection: type of infection • for Response: abnormal temperature, tachypnea, hyperglycemia and severity of infection and • for Organ dysfunction: hypotension and SOFA score≥1. The area under the ROC curve (CI95%) for the combined PIRO model as a predictor for mortality was 0.85 (0.82-0.88). Based on the scores for each of the PIRO components and on the cut-offs estimated from the classification tree, patients were stratified into four stages of increased mortality rates: stage I: ≤5%, stage II: 6-20%, stage III: 21-50% and stage IV: >50%. Finally, this new clinical staging system was studied in a validation cohort, which provided similar results (0%, 9%, 31% and 67%, in each stage, respectively).Conclusions:Based on the PIRO concept, a new clinical staging system was developed for hospitalized patients with infection, allowing stratification into four stages of increased mortality, using the different scores obtained in Predisposition, Response, Infection and Organ dysfunction. The proposed system will likely help to define inclusion criteria in clinical trials as well as tailoring individual management plans for patients with infection. © 2013 Cardoso et al.

Figures

  • Table 1. Demographic and clinical characteristics of patients in the derivation and validation cohorts.
  • Table 2. Association of variables of each of the four components of PIRO with hospital mortality using logistic regression. Characteristics of the patients included in the study according to the four components of the PIRO concept.
  • Table 2. Cont.
  • Table 3. Selection of variables significantly associated with hospital mortality using logistic regression, within each of the four components of PIRO.
  • Table 4. Area under the receiver operating characteristics curve (95% Confidence Interval) of predicted probabilities by hospital mortality of each PIRO component, the combined PIRO model and SAPS II, in the derivation and in the validation cohorts.
  • Figure 1. Classification tree used to define cut-offs for component score and identify profiles of risk of death in the derivation cohort across the four PIRO components. Each node split decision in the tree was chosen from the possible cut-offs for all components, maximizing the within-node homogeneity. doi:10.1371/journal.pone.0070806.g001
  • Table 5. Scores attributed to the selected variables regarding each of the four components of PIRO.
  • Table 6. Risk of hospital mortality according to the total score of each PIRO component.

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CITATION STYLE

APA

Cardoso, T., Teixeira-Pinto, A., Rodrigues, P. P., Aragão, I., Costa-Pereira, A., & Sarmento, A. E. (2013). Predisposition, Insult/Infection, Response and Organ Dysfunction (PIRO): A Pilot Clinical Staging System for Hospital Mortality in Patients with Infection. PLoS ONE, 8(7). https://doi.org/10.1371/journal.pone.0070806

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