Serum procalcitonin level and SOFA score at discharge from the intensive care unit predict post-intensive care unit mortality: A prospective study

PLoS ONE

Volumn 9, Issue 12, 2014, Pages

  Matsumura, Yosuke ^a   Nakada, Taka Aki ^a   Abe, Ryuzo ^a   Oshima, Taku ^a   Oda, Shigeto ^a  

^a CHIBA UNIVERSITY GRADUATE SCHOOL OF MEDICINE   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ALBUMIN; C REACTIVE PROTEIN; HEMOGLOBIN; INTERLEUKIN 6; LACTIC ACID; PROCALCITONIN; CALCITONIN; PROTEIN PRECURSOR; SERUM ALBUMIN;

ALBUMIN BLOOD LEVEL; AREA UNDER THE CURVE; ARTICLE; FEMALE; HEMOGLOBIN BLOOD LEVEL; HORMONE BLOOD LEVEL; HOSPITAL DISCHARGE; HUMAN; HUMAN CELL; INTENSIVE CARE UNIT; MAJOR CLINICAL STUDY; MALE; MORTALITY; OBSERVATIONAL STUDY; PREDICTIVE VALUE; PROGNOSIS; PROSPECTIVE STUDY; PROTEIN BLOOD LEVEL; SENSITIVITY AND SPECIFICITY; SEQUENTIAL ORGAN FAILURE ASSESSMENT SCORE; AGED; BLOOD; FOLLOW UP; METABOLISM; MIDDLE AGED; ORGAN DYSFUNCTION SCORE; STATISTICAL MODEL; VERY ELDERLY;

AGED; AGED, 80 AND OVER; CALCITONIN; FOLLOW-UP STUDIES; HEMOGLOBINS; HUMANS; INTENSIVE CARE UNITS; INTERLEUKIN-6; LOGISTIC MODELS; MALE; MIDDLE AGED; ORGAN DYSFUNCTION SCORES; PREDICTIVE VALUE OF TESTS; PROSPECTIVE STUDIES; PROTEIN PRECURSORS; SERUM ALBUMIN;

EID: 84914665226     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0114007     Document Type: Article

References (33)

1. (1999) Guidelines for intensive care unit admission, discharge, and triage. Task Force of the American College of Critical Care Medicine, Society of Critical Care Medicine. Crit Care Med 27: 633-638.
2. Williams TA, Dobb GJ, Finn JC, Webb SA (2005) Long-term survival from intensive care: a review. Intensive Care Med 31: 1306-1315.
3. Brinkman S, Bakhshi-Raiez F, Abu-Hanna A, de Jonge E, de Keizer NF (2013) Determinants of mortality after hospital discharge in ICU patients: literature review and Dutch cohort study. Crit Care Med 41: 1237-1251.
4. Needham DM, Davidson J, Cohen H, Hopkins RO, Weinert C, et al. (2012) Improving long-term outcomes after discharge from intensive care unit: report from a stakeholders' conference. Crit Care Med 40: 502-509.
5. Ho KM, Knuiman M, Finn J, Webb SA (2008) Estimating long-term survival of critically ill patients: the PREDICT model. PLoS One 3: e3226.
6. Williams TA, Dobb GJ, Finn JC, Knuiman MW, Geelhoed E, et al. (2008) Determinants of long-term survival after intensive care. Crit Care Med 36: 1523-1530.
7. Brinkman S, de Jonge E, Abu-Hanna A, Arbous MS, de Lange DW, et al. (2013) Mortality after hospital discharge in ICU patients. Crit Care Med 41: 1229-1236.
8. Gentile LF, Cuenca AG, Efron PA, Ang D, Bihorac A, et al. (2012) Persistent inflammation and immunosuppression: a common syndrome and new horizon for surgical intensive care. J Trauma Acute Care Surg 72: 1491-1501.
9. Ho KM, Lee KY, Dobb GJ, Webb SA (2008) C-reactive protein concentration as a predictor of inhospital mortality after ICU discharge: a prospective cohort study. Intensive Care Med 34: 481-487.
10. Grander W, Dunser M, Stollenwerk B, Siebert U, Dengg C, et al. (2010) C-reactive protein levels and post-ICU mortality in nonsurgical intensive care patients. Chest 138: 856-862.
11. Ranzani OT, Zampieri FG, Forte DN, Azevedo LC, Park M (2013) C-reactive protein/albumin ratio predicts 90-day mortality of septic patients. PLoS One 8: e59321.
12. Grander W, Mullauer K, Koller B, Tilg H, Dunser M (2013) Heart rate before ICU discharge: a simple and readily available predictor of short- and long-term mortality from critical illness. Clin Res Cardiol 102: 599-606.
13. Knaus WA, Draper EA, Wagner DP, Zimmerman JE (1985) APACHE II: a severity of disease classification system. Crit Care Med 13: 818-829.
14. Vincent JL, de Mendonca A, Cantraine F, Moreno R, Takala J, et al. (1998) Use of the SOFA score to assess the incidence of organ dysfunction/failure in intensive care units: results of a multicenter, prospective study. Working group on "sepsis-related problems" of the European Society of Intensive Care Medicine. Crit Care Med 26: 1793-1800.
15. (1992) American College of Chest Physicians/Society of Critical Care Medicine Consensus Conference: definitions for sepsis and organ failure and guidelines for the use of innovative therapies in sepsis. Crit Care Med 20: 864-874.
16. Youden WJ (1950) Index for rating diagnostic tests. Cancer 3: 32-35.
17. Ranzani OT, Prada LF, Zampieri FG, Battaini LC, Pinaffi JV, et al. (2012) Failure to reduce C-reactive protein levels more than 25% in the last 24 hours before intensive care unit discharge predicts higher inhospital mortality: a cohort study. J Crit Care 27: 525 e529-515.
18. Al-Subaie N, Reynolds T, Myers A, Sunderland R, Rhodes A, et al. (2010) C-reactive protein as a predictor of outcome after discharge from the intensive care: a prospective observational study. Br J Anaesth 105: 318-325.
19. Silvestre J, Coelho L, Povoa P (2010) Should C-reactive protein concentration at ICU discharge be used as a prognostic marker? BMC Anesthesiol 10: 17.
20. Charles PE, Dalle F, Aho S, Quenot JP, Doise JM, et al. (2006) Serum procalcitonin measurement contribution to the early diagnosis of candidemia in critically ill patients. Intensive Care Med 32: 1577-1583.
21. Schuttrumpf S, Binder L, Hagemann T, Berkovic D, Trumper L, et al. (2006) Utility of procalcitonin concentration in the evaluation of patients with malignant diseases and elevated C-reactive protein plasma concentrations. Clin Infect Dis 43: 468-473.
22. Uzzan B, Cohen R, Nicolas P, Cucherat M, Perret GY (2006) Procalcitonin as a diagnostic test for sepsis in critically ill adults and after surgery or trauma: a systematic review and meta-analysis. Crit Care Med 34: 1996-2003.
23. de Kruif MD, Lemaire LC, Giebelen IA, Struck J, Morgenthaler NG, et al. (2008) The influence of corticosteroids on the release of novel biomarkers in human endotoxemia. Intensive Care Med 34: 518-522.
24. Harbarth S, Holeckova K, Froidevaux C, Pittet D, Ricou B, et al. (2001) Diagnostic value of procalcitonin, interleukin-6, and interleukin-8 in critically ill patients admitted with suspected sepsis. Am J Respir Crit Care Med 164: 396-402.
25. Meisner M (1999) Procalcitonin: Erfahrungen mit einer neuen Messgroesse fuer bakterielle Infektionen und systemische Inflammation. J Lab Med 23: 263-272.
26. Clec'h C, Ferriere F, Karoubi P, Fosse JP, Cupa M, et al. (2004) Diagnostic and prognostic value of procalcitonin in patients with septic shock. Crit Care Med 32: 1166-1169.
27. Otto GP, Sossdorf M, Claus RA, Rodel J, Menge K, et al. (2011) The late phase of sepsis is characterized by an increased microbiological burden and death rate. Crit Care 15: R183.
28. Schuetz P, Maurer P, Punjabi V, Desai A, Amin DN, et al. (2013) Procalcitonin decrease over 72 hours in US critical care units predicts fatal outcome in sepsis patients. Crit Care 17: R115.
29. Peres Bota D, Melot C, Lopes Ferreira F, Nguyen Ba V, Vincent JL (2002) The Multiple Organ Dysfunction Score (MODS) versus the Sequential Organ Failure Assessment (SOFA) score in outcome prediction. Intensive Care Med 28: 1619-1624.
30. Minne L, Abu-Hanna A, de Jonge E (2008) Evaluation of SOFA-based models for predicting mortality in the ICU: A systematic review. Crit Care 12: R161.
31. Blumenkrantz MJ, Kopple JD, Gutman RA, Chan YK, Barbour GL, et al. (1980) Methods for assessing nutritional status of patients with renal failure. Am J Clin Nutr 33: 1567-1585.
32. Knaus WA, Wagner DP, Draper EA, Zimmerman JE, Bergner M, et al. (1991) The APACHE III prognostic system. Risk prediction of hospital mortality for critically ill hospitalized adults. Chest 100: 1619-1636.
33. Cox CE (2012) Persistent systemic inflammation in chronic critical illness. Respir Care 57: 859-864; discussion, 864-856.