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.
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共 38 条
[31]   Effect of Procalcitonin-Based Guidelines vs Standard Guidelines on Antibiotic Use in Lower Respiratory Tract Infections The ProHOSP Randomized Controlled Trial [J].
Schuetz, Philipp ;
Christ-Crain, Mirjam ;
Thomann, Robert ;
Falconnier, Claudine ;
Wolbers, Marcel ;
Widmer, Isabelle ;
Neidert, Stefanie ;
Fricker, Thomas ;
Blum, Claudine ;
Schild, Ursula ;
Regez, Katharina ;
Schoenenberger, Ronald ;
Henzen, Christoph ;
Bregenzer, Thomas ;
Hoess, Claus ;
Krause, Martin ;
Bucher, Heiner C. ;
Zimmerli, Werner ;
Mueller, Beat .
JAMA-JOURNAL OF THE AMERICAN MEDICAL ASSOCIATION, 2009, 302 (10) :1059-1066
[32]   Translating the PIRO staging system concept into clinical practice: Where do we go from here? [J].
Soares, Marcio ;
Lisboa, Thiago ;
Salluh, Jorge I. F. .
CRITICAL CARE MEDICINE, 2011, 39 (02) :408-409
[33]   Guidelines for the selection of anti-infective agents for complicated intra-abdominal infections [J].
Solomkin, JS ;
Mazuski, JE ;
Baron, EJ ;
Sawyer, RG ;
Nathens, AB ;
DiPiro, JT ;
Buchman, T ;
Dellinger, EP ;
Jernigan, J ;
Gorbach, S ;
Chow, AW ;
Bartlett, J .
CLINICAL INFECTIOUS DISEASES, 2003, 37 (08) :997-1005
[34]   Practice guidelines for the diagnosis and management of skin and soft-tissue infections [J].
Stevens, DL ;
Bisno, AL ;
Chambers, HF ;
Everett, ED ;
Dellinger, P ;
Goldstein, EJC ;
Gorbach, SL ;
Hirschmann, JV ;
Kaplan, EL ;
Montoya, JG ;
Wade, JC .
CLINICAL INFECTIOUS DISEASES, 2005, 41 (10) :1373-1406
[35]   Practice guidelines for the management of bacterial meningitis [J].
Tunkel, AR ;
Hartman, BJ ;
Kaplan, SL ;
Kaufman, BA ;
Roos, KL ;
Scheld, WM ;
Whitley, RJ .
CLINICAL INFECTIOUS DISEASES, 2004, 39 (09) :1267-1284
[36]   The SOFA (sepsis-related organ failure assessment) score to describe organ dysfunction/failure [J].
Vincent, JL ;
Moreno, R ;
Takala, J ;
Willatts, S ;
DeMendonca, A ;
Bruining, H ;
Reinhart, CK ;
Suter, PM ;
Thijs, LG .
INTENSIVE CARE MEDICINE, 1996, 22 (07) :707-710
[37]   Effects of drotrecogin alfa (activated) on organ dysfunction in the PROWESS trial [J].
Vincent, JL ;
Angus, DC ;
Artigas, A ;
Kalil, A ;
Basson, BR ;
Jamal, HH ;
Johnson, G ;
Bernard, GR .
CRITICAL CARE MEDICINE, 2003, 31 (03) :834-840
[38]   Guidelines for antimicrobial treatment of uncomplicated acute bacterial cystitis and acute pyelonephritis in women [J].
Warren, JW ;
Abrutyn, E ;
Hebel, JR ;
Johnson, JR ;
Schaeffer, AJ ;
Stamm, WE .
CLINICAL INFECTIOUS DISEASES, 1999, 29 (04) :745-758