Cargando…

The Predisposition, Infection, Response and Organ Failure (Piro) Sepsis Classification System: Results of Hospital Mortality Using a Novel Concept and Methodological Approach

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 eac...

Descripción completa

Detalles Bibliográficos
Autores principales: Granja, Cristina, Póvoa, Pedro, Lobo, Cristina, Teixeira-Pinto, Armando, Carneiro, António, Costa-Pereira, Altamiro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3548822/
https://www.ncbi.nlm.nih.gov/pubmed/23349756
http://dx.doi.org/10.1371/journal.pone.0053885
_version_ 1782256378951237632
author Granja, Cristina
Póvoa, Pedro
Lobo, Cristina
Teixeira-Pinto, Armando
Carneiro, António
Costa-Pereira, Altamiro
author_facet Granja, Cristina
Póvoa, Pedro
Lobo, Cristina
Teixeira-Pinto, Armando
Carneiro, António
Costa-Pereira, Altamiro
author_sort Granja, Cristina
collection PubMed
description 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.
format Online
Article
Text
id pubmed-3548822
institution National Center for Biotechnology Information
language English
publishDate 2013
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-35488222013-01-24 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 PLoS One Research Article 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. Public Library of Science 2013-01-18 /pmc/articles/PMC3548822/ /pubmed/23349756 http://dx.doi.org/10.1371/journal.pone.0053885 Text en © 2013 Granja et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Granja, Cristina
Póvoa, Pedro
Lobo, Cristina
Teixeira-Pinto, Armando
Carneiro, António
Costa-Pereira, Altamiro
The Predisposition, Infection, Response and Organ Failure (Piro) Sepsis Classification System: Results of Hospital Mortality Using a Novel Concept and Methodological Approach
title The Predisposition, Infection, Response and Organ Failure (Piro) Sepsis Classification System: Results of Hospital Mortality Using a Novel Concept and Methodological Approach
title_full The Predisposition, Infection, Response and Organ Failure (Piro) Sepsis Classification System: Results of Hospital Mortality Using a Novel Concept and Methodological Approach
title_fullStr The Predisposition, Infection, Response and Organ Failure (Piro) Sepsis Classification System: Results of Hospital Mortality Using a Novel Concept and Methodological Approach
title_full_unstemmed The Predisposition, Infection, Response and Organ Failure (Piro) Sepsis Classification System: Results of Hospital Mortality Using a Novel Concept and Methodological Approach
title_short The Predisposition, Infection, Response and Organ Failure (Piro) Sepsis Classification System: Results of Hospital Mortality Using a Novel Concept and Methodological Approach
title_sort predisposition, infection, response and organ failure (piro) sepsis classification system: results of hospital mortality using a novel concept and methodological approach
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3548822/
https://www.ncbi.nlm.nih.gov/pubmed/23349756
http://dx.doi.org/10.1371/journal.pone.0053885
work_keys_str_mv AT granjacristina thepredispositioninfectionresponseandorganfailurepirosepsisclassificationsystemresultsofhospitalmortalityusinganovelconceptandmethodologicalapproach
AT povoapedro thepredispositioninfectionresponseandorganfailurepirosepsisclassificationsystemresultsofhospitalmortalityusinganovelconceptandmethodologicalapproach
AT lobocristina thepredispositioninfectionresponseandorganfailurepirosepsisclassificationsystemresultsofhospitalmortalityusinganovelconceptandmethodologicalapproach
AT teixeirapintoarmando thepredispositioninfectionresponseandorganfailurepirosepsisclassificationsystemresultsofhospitalmortalityusinganovelconceptandmethodologicalapproach
AT carneiroantonio thepredispositioninfectionresponseandorganfailurepirosepsisclassificationsystemresultsofhospitalmortalityusinganovelconceptandmethodologicalapproach
AT costapereiraaltamiro thepredispositioninfectionresponseandorganfailurepirosepsisclassificationsystemresultsofhospitalmortalityusinganovelconceptandmethodologicalapproach
AT granjacristina predispositioninfectionresponseandorganfailurepirosepsisclassificationsystemresultsofhospitalmortalityusinganovelconceptandmethodologicalapproach
AT povoapedro predispositioninfectionresponseandorganfailurepirosepsisclassificationsystemresultsofhospitalmortalityusinganovelconceptandmethodologicalapproach
AT lobocristina predispositioninfectionresponseandorganfailurepirosepsisclassificationsystemresultsofhospitalmortalityusinganovelconceptandmethodologicalapproach
AT teixeirapintoarmando predispositioninfectionresponseandorganfailurepirosepsisclassificationsystemresultsofhospitalmortalityusinganovelconceptandmethodologicalapproach
AT carneiroantonio predispositioninfectionresponseandorganfailurepirosepsisclassificationsystemresultsofhospitalmortalityusinganovelconceptandmethodologicalapproach
AT costapereiraaltamiro predispositioninfectionresponseandorganfailurepirosepsisclassificationsystemresultsofhospitalmortalityusinganovelconceptandmethodologicalapproach