Pancreatic Stone protein predicts outcome in patients with peritonitis in the ICU

Critical Care Medicine

Volumn 41, Issue 4, 2013, Pages 1027-1036

  Gukasjan, Raphael ^a   Raptis, Dimitri Aristotle ^b   Schulz, Hans Ulrich ^a   Halangk, Walter ^a   Graf, Rolf ^b  

^a OTTO VON GUERICKE UNIVERSITY   (Germany)

^b UNIVERSITY HOSPITAL ZURICH   (Switzerland)

Author keywords

complications; ICU mortality; pancreatic stone protein; peritonitis; sensitivity; specificity; surgery

Indexed keywords

C REACTIVE PROTEIN; INTERLEUKIN 6; LITHOSTATHINE; PROCALCITONIN;

ACUTE PHYSIOLOGY AND CHRONIC HEALTH EVALUATION II; ADULT; AGED; ARTICLE; COHORT ANALYSIS; DIAGNOSTIC ACCURACY; DISEASE SEVERITY; FEMALE; HUMAN; LEUKOCYTE COUNT; MAJOR CLINICAL STUDY; MALE; MANNHEIM PERITONITIS INDEX; MORTALITY; NAMED INVENTORIES, QUESTIONNAIRES AND RATING SCALES; OUTCOME ASSESSMENT; PERITONITIS; POSTOPERATIVE COMPLICATION; PREDICTION; PREDICTIVE VALUE; PRIORITY JOURNAL; PROSPECTIVE STUDY; SEPSIS; SURGICAL PATIENT; UPREGULATION;

ADULT; AGED; BIOLOGICAL MARKERS; C-REACTIVE PROTEIN; CALCITONIN; COHORT STUDIES; CRITICAL ILLNESS; FEMALE; GERMANY; HUMANS; INTENSIVE CARE UNITS; INTERLEUKIN-6; LITHOSTATHINE; MALE; MIDDLE AGED; PERITONITIS; PREDICTIVE VALUE OF TESTS; PROGNOSIS; PROSPECTIVE STUDIES; PROTEIN PRECURSORS; SENSITIVITY AND SPECIFICITY; SEVERITY OF ILLNESS INDEX; STATISTICS, NONPARAMETRIC; SURVIVAL ANALYSIS;

EID: 84875808895     PISSN: 00903493     EISSN: 15300293     Source Type: Journal    
DOI: 10.1097/CCM.0b013e3182771193     Document Type: Article

References (56)

1. Roehrborn A, Thomas L, Potreck O, et al: The microbiology of postoperative peritonitis. Clin Infect Dis 2001; 33:1513-1519
2. Sotto A, Lefrant JY, Fabbro-Peray P, et al: Evaluation of antimicrobial therapy management of 120 consecutive patients with secondary peritonitis. J Antimicrob Chemother 2002; 50:569-576
3. Hotchkiss RS, Karl IE: The pathophysiology and treatment of sepsis. N Engl J Med 2003; 348:138-150
4. Wittmann DH: Intraabdominal infections-Introduction. World J Surg 1990; 14:145-147
5. Guillou PJ: Biological variation in the development of sepsis after surgery or trauma. Lancet 1993; 342:217-220
6. Wakefield CH, Carey PD, Foulds S, et al: Changes in major histocompatibility complex class II expression in monocytes and T cells of patients developing infection after surgery. Br J Surg 1993; 80:205-209
7. Hall JC, Heel KA, Papadimitriou JM, et al: The pathobiology of peritonitis. Gastroenterology 1998; 114:185-196
8. Castelli GP, Pognani C, Meisner M, et al: Procalcitonin and C-reactive protein during systemic inflammatory response syndrome, sepsis and organ dysfunction. Crit Care 2004; 8:R234-R242
9. Dahaba AA, Metzler H: Procalcitonin's role in the sepsis cascade. Is procalcitonin a sepsis marker or mediator? Minerva Anestesiol 2009; 75:447-452
10. Rau BM, Kemppainen EA, Gumbs AA, et al: Early assessment of pancreatic infections and overall prognosis in severe acute pancreatitis by procalcitonin (PCT): A prospective international multicenter study. Ann Surg 2007; 245:745-754
11. Reith HB, Mittelkötter U, Debus ES, et al: Procalcitonin in early detection of postoperative complications. Dig Surg 1998; 15:260-265
12. Llewelyn M, Cohen J; International Sepsis Forum: Diagnosis of infection in sepsis. Intensive Care Med 2001; 27 (Suppl 1):S10-S32
13. Graf R, Schiesser M, Reding T, et al: Exocrine meets endocrine: Pancreatic stone protein and regenerating protein-Two sides of the same coin. J Surg Res 2006; 133:113-120
14. Jing D, Kehoe DE, Tzanakakis ES: Expression of Reg family proteins in embryonic stem cells and its modulation by Wnt/beta-catenin signaling. Stem Cells Dev 2010; 19:1307-1319
15. Keel M, Härter L, Reding T, et al: Pancreatic stone protein is highly increased during posttraumatic sepsis and activates neutrophil granulocytes. Crit Care Med 2009; 37:1642-1648
16. Youden WJ: Index for rating diagnostic tests. Cancer 1950; 3:32-35
17. Fluss R, Faraggi D, Reiser B: Estimation of the Youden Index and its associated cutoff point. Biom J 2005; 47:458-472
18. Billing A, Fröhlich D, Schildberg FW: Prediction of outcome using the Mannheim peritonitis index in 2003 patients. Peritonitis Study Group. Br J Surg 1994; 81:209-213
19. Linder MM, Wacha H, Feldmann U, et al: [The Mannheim peritonitis index. An instrument for the intraoperative prognosis of peritonitis]. Chirurg 1987; 58:84-92
20. Bosscha K, Reijnders K, Hulstaert PF, et al: Prognostic scoring systems to predict outcome in peritonitis and intra-abdominal sepsis. Br J Surg 1997; 84:1532-1534
21. Knaus WA, Draper EA, Wagner DP, et al: APACHE II: A severity of disease classification system. Crit Care Med 1985; 13:818-829
22. Lippert H. Peritoneum und Omentum majus. In: Lippert H (Ed). Praxis der Chirurgie Allgemein-und Viszeralchirurgie. Stuttgart, Georg Thieme Verlag, 1998, pp 613-621.
23. Pichlmayr R, Weimann A, Klempnauer J: [Continuous irrigation or staged lavage in peritonitis?]. Chirurg 1992; 63:162-168
24. Lefering R, Goris RJ, van Nieuwenhoven EJ, et al: Revision of the multiple organ failure score. Langenbecks Arch Surg 2002; 387:14-20
25. Levy MM, Fink MP, Marshall JC, et al: International Sepsis Definitions Conference: 2001 SCCM/ESICM/ACCP/ATS/SIS International Sepsis Definitions Conference. Intensive Care Med 2003; 29:530-538
26. Bone RC, Balk RA, Cerra FB, et al: Definitions for sepsis and organ failure and guidelines for the use of innovative therapies in sepsis. The ACCP/SCCM Consensus Conference Committee. American College of Chest Physicians/Society of Critical Care Medicine. Chest 1992; 101:1644-1655
27. Bone RC, Grodzin CJ, Balk RA: Sepsis: A new hypothesis for pathogenesis of the disease process. Chest 1997; 112:235-243
28. Siegel S, Castellan NJ: Nonparametric Statistics for the Behavioral Sciences. New York: Mcgraw-Hill, 1988
29. Conover WJ: Practical Nonparametric Statistics. Second Edition. New York: John Wiley and Sons, 1980
30. Daniel WW: Biostatistics. Sixth Edition. New York, John Wiley and Sons, 1995
31. Brown MB, Forsythe AB: Robust tests for the equality of variances. J Am Stat Assoc 1974; 69:364-367.
32. Levene H: Robust tests for the equality of variance. In: Contributions to Probability and Statistics. Olkin I (Ed). Palo Alto, CA, Stanford University Press, 1960, pp 278-292
33. Milliken G, Johnson D: Analysis of Messy Data: Volume 1. Designed Experiments. New York: Chapman & Hall, 1992
34. Neter J, Wassermann W, Kutner MH: Applied Linear Statistical Models. Third Edition. Homewood, Irwin, 1990
35. Welch BL: On the Comparison of Several Mean Values: An Alternative Approach. 38th edition. Biometrika 1951; 38:330-336
36. Kirshwood BR, Sterne JAC: Essential Medical Statistics. Second Edition. Malden, MA, Blackwell Science, 2003
37. Kraemer HC: Reconsidering the odds ratio as a measure of 2x2 association in a population. Stat Med 2004; 23:257-270
38. Glas AS, Lijmer JG, Prins MH, et al: The diagnostic odds ratio: A single indicator of test performance. J Clin Epidemiol 2003; 56:1129-1135
39. Obuchowski NA: Receiver operating characteristic curves and their use in radiology. Radiology 2003; 229:3-8
40. De Caro A, Lohse J, Sarles H: Characterization of a protein isolated from pancreatic calculi of men suffering from chronic calcifying pancreatitis. Biochem Biophys Res Commun 1979; 87:1176-1182
41. Terazono K, Yamamoto H, Takasawa S, et al: A novel gene activated in regenerating islets. J Biol Chem 1988; 263:2111-2114
42. Carrère J, Figarella-Branger D, Senegas-Balas F, et al: Immunohistochemical study of secretory proteins in the developing human exocrine pancreas. Differentiation 1992; 51:55-60
43. Asahara M, Mushiake S, Shimada S, et al: Reg gene expression is increased in rat gastric enterochromaffin-like cells following water immersion stress. Gastroenterology 1996; 111:45-55
44. Iovanna J, Frigerio JM, Dusetti N, et al: Lithostathine, an inhibitor of CaCO3 crystal growth in pancreatic juice, induces bacterial aggregation. Pancreas 1993; 8:597-601
45. Cash HL, Whitham CV, Behrendt CL, et al: Symbiotic bacteria direct expression of an intestinal bactericidal lectin. Science 2006; 313:1126-1130
46. Ortega-Deballon P, Radais F, Facy O, et al: C-reactive protein is an early predictor of septic complications after elective colorectal surgery. World J Surg 2010; 34:808-814
47. Boeck L, Graf R, Eggimann P, et al: Pancreatic stone protein: A marker of organ failure and outcome in ventilator-associated pneumonia. Chest 2011; 140:925-932
48. Simon L, Gauvin F, Amre DK, et al: Serum procalcitonin and C-reactive protein levels as markers of bacterial infection: A systematic review and meta-analysis. Clin Infect Dis 2004; 39:206-217
49. Uzzan B, Cohen R, Nicolas P, et al: 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 2006; 34:1996-2003
50. Mokart D, Merlin M, Sannini A, et al: Procalcitonin, interleukin 6 and systemic inflammatory response syndrome (SIRS): Early markers of postoperative sepsis after major surgery. Br J Anaesth 2005; 94:767-773
51. Jensen JU, Hein L, Lundgren B, et al; Procalcitonin and survival study (PASS) Group: Procalcitonin-guided interventions against infections to increase early appropriate antibiotics and improve survival in the intensive care unit: A randomized trial. Crit Care Med 2011; 39:2048-2058
52. Dahaba AA, Hagara B, Fall A, et al: Procalcitonin for early prediction of survival outcome in postoperative critically ill patients with severe sepsis. Br J Anaesth 2006; 97:503-508
53. Tang BM, Eslick GD, Craig JC, et al: Accuracy of procalcitonin for sepsis diagnosis in critically ill patients: Systematic review and metaanalysis. Lancet Infect Dis 2007; 7:210-217
54. Heyland DK, Johnson AP, Reynolds SC, et al: Procalcitonin for reduced antibiotic exposure in the critical care setting: A systematic review and an economic evaluation. Crit Care Med 2011; 39:1792-1799
55. Ferreira FL, Bota DP, Bross A, et al: Serial evaluation of the SOFA score to predict outcome in critically ill patients. JAMA 2001; 286:1754-1758
56. Malik AA, Wani KA, Dar LA, et al: Mannheim Peritonitis Index and APACHE II-prediction of outcome in patients with peritonitis. Ulus Travma Acil Cerrahi Derg 2010; 16:27-32