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

被引:28
作者
Granja, Cristina [1 ,2 ]
Povoa, Pedro [3 ,4 ]
Lobo, Cristina [2 ]
Teixeira-Pinto, Armando [1 ,2 ,5 ]
Carneiro, Antonio [6 ]
Costa-Pereira, Altamiro [1 ,2 ]
机构
[1] Fac Med Porto, Dept Hlth Informat & Decis Sci, Oporto, Portugal
[2] Fac Med Porto, CINTESIS Ctr Res Hlth Technol & Hlth Syst, Oporto, Portugal
[3] Sao Francisco Xavier Hosp CHLO, Polyvalent Intens Care Unit, Lisbon, Portugal
[4] Univ Nova Lisboa, Fac Med Sci, CEDOC, Lisbon, Portugal
[5] Univ Sydney, Sch Publ Hlth, Screening & Test Evaluat Program, Sydney, NSW 2006, Australia
[6] Hosp Arrabida, Intens Care Unit, Vila Nova De Gaia, Portugal
关键词
COMMUNITY-ACQUIRED PNEUMONIA; INTENSIVE-CARE-UNIT; PRACTICE GUIDELINES; EPIDEMIOLOGY; MANAGEMENT; SCORE; DYSFUNCTION; ENGLAND; STATES; WALES;
D O I
10.1371/journal.pone.0053885
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 (IC95%: 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.
引用
收藏
页数:9
相关论文
共 38 条
[1]   Epidemiology of severe sepsis in the United States: Analysis of incidence, outcome, and associated costs of care [J].
Angus, DC ;
Linde-Zwirble, WT ;
Lidicker, J ;
Clermont, G ;
Carcillo, J ;
Pinsky, MR .
CRITICAL CARE MEDICINE, 2001, 29 (07) :1303-1310
[2]   Promoting Global Research Excellence in Severe Sepsis (PROGRESS): Lessons from an International Sepsis Registry [J].
Beale, R. ;
Reinhart, K. ;
Brunkhorst, F. M. ;
Dobb, G. ;
Levy, M. ;
Martin, G. ;
Martin, C. ;
Ramsey, G. ;
Silva, E. ;
Vallet, B. ;
Vincent, J. -L. ;
Janes, J. M. ;
Sarwat, S. ;
Williams, M. D. .
INFECTION, 2009, 37 (03) :222-232
[3]   EPISEPSIS: a reappraisal of the epidemiology and outcome of severe sepsis in French intensive care units [J].
Brun-Buisson, C ;
Meshaka, P ;
Pinton, P ;
Vallet, B ;
Rodie-Talbere, P ;
Zahar, JR .
INTENSIVE CARE MEDICINE, 2004, 30 (04) :580-588
[4]   Reducing mortality in severe sepsis with the implementation of a core 6-hour bundle: results from the Portuguese community-acquired sepsis study (SACiUCI study) [J].
Cardoso, Teresa ;
Carneiro, Antonio Henriques ;
Ribeiro, Orquidea ;
Teixeira-Pinto, Armando ;
Costa-Pereira, Altamiro .
CRITICAL CARE, 2010, 14 (03)
[5]   The Economics of Sepsis [J].
Chalupka, Andrew N. ;
Talmor, Daniel .
CRITICAL CARE CLINICS, 2012, 28 (01) :57-+
[6]   Adult-population incidence of severe sepsis in Australian and New Zealand intensive care units [J].
Finfer, S ;
Bellomo, R ;
Lipman, J ;
French, C ;
Dobb, G ;
Myburgh, J .
INTENSIVE CARE MEDICINE, 2004, 30 (04) :589-596
[7]   The epidemiology of severe sepsis in England, Wales and Northern Ireland, 1996 to 2004: secondary analysis of a high quality clinical database, the ICNARC Case Mix Programme Database [J].
Harrison, David A. ;
Welch, Catherine A. ;
Eddleston, Jane M. .
CRITICAL CARE, 2006, 10 (02)
[8]   Proof of principle: The predisposition, infection, response, organ failure sepsis staging system [J].
Howell, Michael D. ;
Talmor, Daniel ;
Schuetz, Philipp ;
Hunziker, Sabina ;
Jones, Alan E. ;
Shapiro, Nathan I. .
CRITICAL CARE MEDICINE, 2011, 39 (02) :322-327
[9]  
Hutt E, 2002, J FAM PRACTICE, V51, P709
[10]   APACHE-II - A SEVERITY OF DISEASE CLASSIFICATION-SYSTEM [J].
KNAUS, WA ;
DRAPER, EA ;
WAGNER, DP ;
ZIMMERMAN, JE .
CRITICAL CARE MEDICINE, 1985, 13 (10) :818-829