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Published on: June 15, 2019
The predisposition, infection, response and organ failure (Piro) sepsis classification system: results of hospital
Cristina Granja1, Pedro Póvoa, Cristina Lobo
1Department of Health Information and Decision Sciences, Faculty of Medicine of Porto, Porto, Portugal. cristinagranja@hotmail.com
Introduction:
PIRO is a conceptual classification system in which a number of demographic, clinical, biological and laboratory variables are used to stratify patients with sepsis in categories with different outcomes, including mortality rates.
Objectives:
To identify variables to be included in each component of PIRO aiming to improve the hospital mortality prediction.
Methods:
Patients were selected from the Portuguese ICU-admitted community-acquired sepsis study (SACiUCI). Variables concerning the R and O component included repeated measurements along the first five days in ICU stay. The trends of these variables were summarized as the initial value at day 1 (D1) and the slope of the tendency during the five days, using a linear mixed model. Logistic regression models were built to assess the best set of covariates that predicted hospital mortality.
Results:
A total of 891 patients (age 60±17 years, 64% men, 38% hospital mortality) were studied. Factors significantly associated with mortality for P component were gender, age, chronic liver failure, chronic renal failure and metastatic cancer; for I component were positive blood cultures, guideline concordant antibiotic therapy and health-care associated sepsis; for R component were C-reactive protein slope, D1 heart rate, heart rate slope, D1 neutrophils and neutrophils slope; for O component were D1 serum lactate, serum lactate slope, D1 SOFA and SOFA slope. The relative weight of each component of PIRO was calculated. The combination of these four results into a single-value predictor of hospital mortality presented an AUC-ROC 0.84 (IC(95%):0.81-0.87) and a test of goodness-of-fit (Hosmer and Lemeshow) of p = 0.368.
Conclusions:
We identified specific variables associated with each of the four components of PIRO, including biomarkers and a dynamic view of the patient daily clinical course. This novel approach to PIRO concept and overall score can be a better predictor of mortality for patients with community-acquired sepsis admitted to ICUs.
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