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The predisposition, infection, response and organ failure (Piro) sepsis classification system: results of hospital mortality using a novel concept and methodological approach.
Granja, Cristina; Póvoa, Pedro; Lobo, Cristina; Teixeira-Pinto, Armando; Carneiro, António; Costa-Pereira, Altamiro.
Afiliación
  • Granja C; Department of Health Information and Decision Sciences, Faculty of Medicine of Porto, Porto, Portugal. cristinagranja@hotmail.com
PLoS One ; 8(1): e53885, 2013.
Article en En | MEDLINE | ID: mdl-23349756
ABSTRACT

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.
Asunto(s)

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Estadística como Asunto / Sepsis / Susceptibilidad a Enfermedades / Hospitales / Insuficiencia Multiorgánica Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Límite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2013 Tipo del documento: Article País de afiliación: Portugal

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Estadística como Asunto / Sepsis / Susceptibilidad a Enfermedades / Hospitales / Insuficiencia Multiorgánica Tipo de estudio: Diagnostic_studies / Guideline / Prognostic_studies Límite: Aged / Aged80 / Female / Humans / Male / Middle aged Idioma: En Revista: PLoS One Asunto de la revista: CIENCIA / MEDICINA Año: 2013 Tipo del documento: Article País de afiliación: Portugal