Accuracy of presepsin in sepsis diagnosis: A systematic review and meta-analysis

PLoS ONE

Volumn 10, Issue 7, 2015, Pages

  Wu, Jiayuan ^a   Hu, Liren ^a   Zhang, Gaohua ^a   Wu, Fenping ^b   He, Taiping ^a  

^a GUANGDONG MEDICAL UNIVERSITY   (China)

^b Department of Epidemiology and Health Statistics School of Public Health Guangdong Medical College ^*  (China)

Author keywords

[No Author keywords available]

Indexed keywords

CD14 ANTIGEN; PRESEPSIN; UNCLASSIFIED DRUG; BIOLOGICAL MARKER; PEPTIDE FRAGMENT; PRESEPSIN PROTEIN, HUMAN;

AREA UNDER THE CURVE; BIOINFORMATICS; CLINICAL EFFECTIVENESS; CLINICAL TRIAL (TOPIC); CONTROLLED CLINICAL TRIAL (TOPIC); DATA ANALYSIS; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DIAGNOSTIC VALUE; DISEASE MARKER; EARLY DIAGNOSIS; HUMAN; MAXIMUM LIKELIHOOD METHOD; META ANALYSIS; PROTEIN DETERMINATION; RECEIVER OPERATING CHARACTERISTIC; REVIEW; SELECTION BIAS; SENSITIVITY AND SPECIFICITY; SEPSIS; SYSTEMATIC REVIEW; SYSTEMIC INFLAMMATORY RESPONSE SYNDROME; FACTUAL DATABASE; METABOLISM; ODDS RATIO; RISK FACTOR;

ANTIGENS, CD14; AREA UNDER CURVE; BIOMARKERS; DATABASES, FACTUAL; HUMANS; ODDS RATIO; PEPTIDE FRAGMENTS; RISK FACTORS; ROC CURVE; SEPSIS;

EID: 84941264381     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0133057     Document Type: Review

References (44)

1. Zou Q, Wen W, Zhang XC. (2014) Presepsin as a novel sepsis biomarker. World J Emerg Med 5:16-9. doi:10.5847/wjem.j.1920-8642.2014.01.002 PMID: 25215141.
2. Dombrovskiy VY, Martin AA, Sunderram J, Paz HL. (2007) Rapid increase in hospitalization and mortality rates for severe sepsis in the United State: A trend analysis from 1993 to 2003. Crit Care Med 35:1244-50. PMID: 17414736.
3. Vincent JL, Rello J, Marshall J, Silva E, Anzueto A, Martin CD, et al. (2009) International study of the prevalence and outcome of infection in intensive care unite. JAMA 302:2323-9. doi:10.1001/jama.2009.1754 PMID: 19952319.
4. Walker C, Prkno A, Brunkhorst FM, Schlattmann P. (2013) Procalcitonin as a diagnostic marker for sepsis: A systematic review and meta-analysis. Lancte Infect Dis 13:426-35.
5. Balci C, Sungurtekin H, Gurses E, Sungurtekin U, Kaptanoglu B. (2003) Usefulness of procalcitonin for diagnosis of sepsis in the intensive care unit. Crit Care 7:85-90. PMID: 12617745.
6. Liu T, Chen HW, Liang DY, Hou YQ. (2014) Progress of prognostic markers in sepsis. Int J Lab Med 35:2794-6.
7. Behnes M, Bertsch T, Lepiorz D, Lang S, Trinkmann F, Brueckmann M, et al. (2014) Diagnostic and prognostic utility of soluble CD 14 subtype (presepsin) for severe sepsis and septic shock during the first week of intensive care treatment. Crit Care 18:507. doi:10.1186/s13054-014-0507-z PMID: 25190134.
8. Sandquist M, Wong HR. (2014) Biomarkers of sepsis and their potential value in diagnosis, prognosis and treatment. Clin Immunol 10:1349-1356.
9. Mussap M, Noto A, Fravega M, Fanos V. (2011) Soluble CD14 subtype presepsin (sCD14-ST) and lipopolysaccharide binding protein (LBP) in neonatal sepsis: new clinical and analytical perspectives for two old biamarkers. J Matern Fetal Neonatal Med 24:12-14.
10. Yaegashi Y, Shirakawa K, Sato N, Suzuki Y, Kojika M, Imai S, et al. (2005) Evaluation of a newly identified soluble CD14 subtype as a marker for sepsis. J Infect Chemother 11:234-238. PMID: 16258819.
11. Palmiere C, Mussap M, Bardy D, Cibecchini F, Mangin P. (2013) Diagnostic value of soluble CD14 subtype (sCD14-ST) presepsin for the postmortem diagnosis of sepsis-related fatalities. Int J Legal Med 127:799-808. doi:10.1007/s00414-012-0804-5 PMID: 23263410.
12. Vodnik T, Kaljevic G, Tadic T, Majkic-Singh N. (2013) Presepsin (sCD14-ST) in preoperative diagnosis of abdominal sepsis. Clin Chem Lab Med 51:2053-2062. doi:10.1515/cclm-2013-0061PMID: 23740685.
13. Gatsonis C, Paliwal P. (2006) Meta-analysis of diagnostic and screening test accuracy evaluations: methodologic primer. AJR Am J Roentgenol 187:271-281. PMID: 16861527.
14. Moher D, Liberati A, Tetzlaff J, Altman DG, PRISMA group. (2010) Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. Int J Surg 8:336-341. doi:10.1016/j.ijsu.2010.02.007 PMID: 20171303.
15. ACCP/SCCM Consensus Conference Committee. (1992) Definitions for sepsis and organ failure and guidelines for use of innovate therapies in sepsis. Crit Care Med 20:867-874.
16. Levy MM, Fink MP, Marshall JC, Abraham E, Angus D, Cook D, et al. (2003) International Sepsis Definitions Conference, 2001 SCCM/ESICM/ACCP/ATS/SIS. Intensive Care Med 29:530-538. PMID: 12664219.
17. Dellinger RP, Levy MM, Carlet JM. (2008) Surviving sepsis campaign: international guidelines for management of severe sepsis and septic shock. Crit Care Med 36: 296-327. PMID: 18158437.
18. Whiting PF, Rutjes AW, Westwood ME, Mallett S, Deeks JJ, Reitsma JB, et al. (2011) QUADAS-2: A revised tool for the quality assessment of diagnostic accuracy studies. Ann Intern Med 155:529-536. doi:10.7326/0003-4819-155-8-201110180-00009 PMID: 22007046.
19. Zamora J, Abraira V, Muriel A, Khan K, Coomarasamy A. (2006) Meta-DiSc: A software for meta-analysis of test accuracy data. BMC Med Res Methodol 6:31. PMID: 16836745.
20. Lijmer JG, Bossuyt PM, Heisteikamp SH. (2002) Exploring sources of heterogeneity in systematic reviews of diagnostic tests. Stat Med 21:1525-1537. PMID: 12111918.
21. Mantel N, Haenszel W. (1959) Statistical aspects of the analysis of data from retrospective studies of disease. J Natl Cancer Inst 22:719-748. PMID: 13655060.
22. Walker SD. (2002) Properies of the summary receiver operating characteristic (SROC) curve for diagnostic test data. Stat Med 15:1237-1256.
23. Gatsonia C, Paliwal P. (2006) Meta-analysis of diagnostic and screening test accuracy evaluations: methodologic primer. AJR Am J Roentgenol 187:271-281. PMID: 16861527.
24. Dwamena B. (2007) MIDAS: Stata module for meta-analytical integration of diagnostic test accuracy studies. Statistical Software Components S456880. Boston, MA: Boston College Department of Econonics.
25. Cargnin S, Jommi C, Canonico PL, Genazzani AA, Terrazzino S. (2014) Diagnostic accuracy of HLAB∗ 57:01 screening for the prediction of abacavir hypersensitivity and clinical utility of the test: A metaanalysis review. Pharmacogenonics 15:963-976.
26. Egger M, Davey SG, Schneider M, Minder C. (1997) Bias in meta-analysis detected by a simple, graphical test. BMJ 315: 629-634. PMID: 9310563.
27. Begg CB, Mazumdar M. (1994) Operating characteristics of a rank correlation test for publication bias. Biametrics 50:1088-1101.
28. Kweon OJ, Choi JH, Park SK, Park AJ. (2014) Usefulness of presepsin (sCD14 subtype) measurements as a new marker for the diagnosis and prediction of disease severity of sepsis in the Korean population. J Crit Care 29:965-970. doi:10.1016/j.jcrc.2014.06.014 PMID: 25042676.
29. Sargentini V, Ceccarelli G, D'Alessandro M, Collepardo D, Morelli A, D'Eqidio A, et al. (2014) Presepsin as a potential marker for bacterial infection relapse in critical care patients: A preliminary study. Clin Chem Lab Med. 53:567-573.
30. Su MH, Shou ST. (2014) Prognostic value of presepsin for diagnosis and severity assessment of sepsis. Chin J Clin Lab Sci 32:106-111.
31. Yu J, Shao Q, Wang Q, Zhang XH, Huang K. (2014) Combined determination of presepsin, procalcitonin and C reactive protein for early diagnosis and prognostic assessment of severe trauma patients with sepsis. Chin J Clin Lab Sci 32:200-203.
32. Liu B, Chen YX, Yin Q, Zhao YZ, Li CS. (2013) Diagnostic value and prognostic evaluation of presepsin for sepsis in an emergency department. Crit Care 17:R244. doi:10.1186/cc13070 PMID: 24138799.
33. Ulla M, Pizzolato E, Lucchiari M, Loiacono M, Soardo F, Forno D, et al. (2013) Diagnostic and prognostic value of presepsin in the management of sepsis in the emergency department: A multicenter prospective study. Crit Care 17:R168. doi:10.1186/cc12847 PMID: 23899120.
34. Shozushima T, Takahashi G, Matsumoto N, Kojika M, Okamura Y, Endo S. (2011) Usefulness of presepsin (sCD14-ST) measurement as a marker for the diagnosis and severity of sepsis that satisfied diagnostic criteria of systemic inflammatory response syndrome. J Infect Chemother 17:764-769. doi:10.1007/s10156-011-0254-x PMID: 21560033.
35. Shirakawa K, Naitou K, Hirose J, Takahashi T, Furusako S. (2011) Presepsin (sCD14-ST): development and evaluation of one-step ELISA with a new standard that is similar to the form of presepsin in sepsis patients. Clin Chem Lab Med 49:937-939. doi:10.1515/CCLM.2011.145 PMID: 21345045.
36. Whiting PF, Rutjes AW, Reitsma JB, Bossuyt PM, Kleijnen J. (2003) The development of QUADAS: A tool for the quality assessment of studies of diagnostic accuracy included in systematic reviews. BMC Med Methodol 3:25.
37. Bates DW, Cook EF, Goldman L, Lee TH. (1990) Predicting bacteremia in hospitalized patients. A prospectively validated model. Ann Intern Med 113:495-500. PMID: 2393205.
38. Bates DW, Sands K, Miller E, Lanker PN, Hibberd PL, Graman PS, et al. (1997) Predicting bacteremia in patients with sepsis syndrome. Academic Medical Center Consortium Sepsis Preject Working Group. J Infect Dis 176:1538-1551. PMID: 9395366.
39. Endo S, Suzuki Y, Takahashi G, Shouzushima T, Ishikura H, Murai A, et al. (2012) Usefulness of presepsin in the diagnosis of sepsis in a multicenter prospective study. J Infect Chmother 18: 891-897.
40. Okamura Y, Yokoi H. (2011) Development of a point-of-care assay system for measurement of presepsin (sCD14-ST). Clin Chim Acta 412: 2157-2161. doi:10.1016/j.cca.2011.07.024 PMID: 21839732.
41. Tang BM, Eslick GD, Craig JC, McLean AS. (2007) Accuracy of procalcitonin for sepsis diagnosis in critically ill patients: systematic review and meta-analysis. Lancet Infect Dis 7: 210-217. PMID: 17317602.
42. Lee SH, Chan RC, Wu JY, Chen HW, Chang SS, Lee CC. (2013) Diagnostic value of procalcitonin for bacterial infection in elderly patients- A systemic review and meta-analysis. Int J Clin Pract 67:1350- 1357. doi:10.1111/ijcp.12278PMID: 24246214.
43. Nismman B, Biran H, Ramu N, Heching N, Barak V, Peretz t. (2009) The diagnostic and prognostic value of ProGRP in lung cancer. Anticancer Res 29:4827-4832. PMID: 20032442.
44. Lamy PJ, Grenier J, Kramar A. (2000) Pro-gastin-releasing peptide, neuron specific enolase and chromogranin A as serum markers of small cell lung cancer. Lung Cancer 29:197-203. PMID: 10996422.