Prognostic value of procalcitonin in adult patients with sepsis: A systematic review and meta-analysis

PLoS ONE

Volumn 10, Issue 6, 2015, Pages

  Liu, Dan ^a,b,c   Su, Longxiang ^d   Han, Gencheng ^e   Yan, Peng ^a   Xie, Lixin ^a  

^a CHINESE PLA GENERAL HOSPITAL   (China)

^b NANKAI UNIVERSITY   (China)

^c TIANJIN MEDICAL UNIVERSITY   (China)

^d PEKING UNION MEDICAL COLLEGE HOSPITAL   (China)

^e INSTITUTE OF BASIC MEDICAL SCIENCES   (China)

Author keywords

[No Author keywords available]

Indexed keywords

PROCALCITONIN; BIOLOGICAL MARKER; CALCA PROTEIN, HUMAN; CALCITONIN; CALCITONIN GENE RELATED PEPTIDE; PROTEIN PRECURSOR;

ADULT; ARTICLE; CORRELATIONAL STUDY; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DIAGNOSTIC VALUE; DISEASE SEVERITY; HORMONE BLOOD LEVEL; HUMAN; META ANALYSIS; MORTALITY; MULTICENTER STUDY (TOPIC); PREVALENCE; PROGNOSIS; PROGNOSTIC ASSESSMENT; RANDOMIZED CONTROLLED TRIAL (TOPIC); RECEIVER OPERATING CHARACTERISTIC; RISK ASSESSMENT; RISK FACTOR; SENSITIVITY AND SPECIFICITY; SEPSIS; SYSTEMATIC REVIEW; BLOOD; HOSPITAL EMERGENCY SERVICE; INTENSIVE CARE UNIT; ODDS RATIO;

BIOMARKERS; CALCITONIN; CALCITONIN GENE-RELATED PEPTIDE; EMERGENCY SERVICE, HOSPITAL; HUMANS; INTENSIVE CARE UNITS; MORTALITY; ODDS RATIO; PROTEIN PRECURSORS; SEPSIS;

EID: 84937026540     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0129450     Document Type: Article

References (53)

1. Czura CJ. "Merinoff Symposium 2010: sepsis"-speaking with one voice. Mol Med. 2011; 17: 2-3. doi: 10.2119/molmed.2010.00001.commentary PMID: 21246163
2. Dombrovskiy VY, Martin AA, Sunderram J, Paz HL. Rapid increase inhospitalization and mortality rates for severe sepsis in the United States: a trend analysis from 1993 to 2003. Crit Care Med. 2007; 35: 1244-1250. PMID: 17414736
3. Iskander KN, Osuchowski MF, Stearns-Kurosawa DJ, Kurosawa S, Stepien D, Valentine C, et al. Sepsis: Multiple Abnormalities, Heterogeneous Responses, and Evolving Understanding. Physiol Rev. 2013; 93: 1247-1288. doi: 10.1152/physrev.00037.2012 PMID: 23899564
4. Kiguchi T, Nakamori Y, Yamakawa K, Kitayama J, Wada D, Ogawa Y, et al. Maximal chemiluminescent intensity in response to lipopolysaccharide assessed by endotoxin activity assay on admission day predicts mortality in patients with sepsis. Crit Care Med. 2013; 43: 1443-9.
5. Gründler K, Angstwurm M, Hilge R, Baumann P, Annecke T, Crispin A, et al. Platelet mitochondrial membrane depolarization reflects disease severity in patients with sepsis and correlates with clinical outcome. Crit Care. 2014; 18: R31. doi: 10.1186/cc13724 PMID: 24521521
6. Behnes M, Bertsch T, Lepiorz D, Lang S, Trinkmann F, Brueckmann M, et al. 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; 2014; 14: 507.
7. Akpinar S, Rollas K, Alagöz A, Seʇmen F, Sipit T. Performance evaluation of MR-proadrenomedullin and other scoring systems in severe sepsis with pneumonia. J Thorac Dis. 2014; 6: 921-9. doi: 10.3978/j.issn.2072-1439.2014.06.42 PMID: 25093088
8. Vassiliou AG, Mastora Z, Orfanos SE, Jahaj E, Maniatis NA, Koutsoukou A, et al. Elevated biomarkers of endothelial dysfunction/activation at ICU admission are associated with sepsis development. Cytokine. 2014; 69: 240-7. doi: 10.1016/j.cyto.2014.06.010 PMID: 25016133
9. Krüger S, Ewig S, Marre R, Papassotiriou J, Richter K, von Baum H, et al. Procalcitonin predicts patients at low risk of death from community-acquired pneumonia across all CRB-65 classes. Eur Respir J. 2008; 31(2): 349-55 PMID: 17959641
10. Huang DT, Weissfeld LA, Kellum JA, Yealy DM, Kong L, Martino M, et al. Risk Prediction with Procalcitonin and Clinical Rules in Community-Acquired Pneumonia. Ann Emerg Med. 2008; 52(1): 48-58.e2 doi: 10.1016/j.annemergmed.2008.01.003 PMID: 18342993
11. Hillas G, Vassilakopoulos T, Plantza P, Rasidakis A, Bakakos P. C-reactive protein and procalcitonin as predictors of survival and septic shock in ventilator-associated pneumonia. Eur Respir J. 2010; 35 (4): 805-11 doi: 10.1183/09031936.00051309 PMID: 19717486
12. Garnacho-Montero J, Huici-Moreno MJ, Gutiérrez-Pizarraya A, López I, Márquez-Vácaro JA, Macher H, et al. Prognostic and diagnostic value of eosinopenia, C-reactive protein, procalcitonin, and circulating cell-free DNA in critically Ill patients admitted with suspicion of sepsis. Crit Care. 2014; 18: R116. doi: 10.1186/cc13908 PMID: 24903083
13. Ulla M, Pizzolato E, Lucchiari M, Loiacono M, Soardo F, Forno D, et al. Diagnostic and prognostic value of presepsin in the management of sepsis in the emergency department: a multicenter prospective study. Crit Care. 2013; 17: R168. doi: 10.1186/cc12847 PMID: 23899120
14. Levy MM, Fink MP, Marshall JC, Abraham E, Angus D, Cook D, et al. 2001 SCCM/ESICM/ACCP/ATS/SIS International Sepsis Definitions Conference. Intensive Care Med. 2003; 29:530-8. PMID: 12664219
15. 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. 1992; 20: 864-874. PMID: 1597042
16. Whiting P, Rutjes AW, Reitsma JB, Bossuyt PM, Kleijnen J. The development of QUADAS: a tool for the quality assessment of studies of diagnostic accuracy included in systematic reviews. BMC Med Res Methodol. 2003; 3: 25. PMID: 14606960
17. Higgins JP, Thompson SG, Deeks JJ, Altman DG. Measuring inconsistency in meta-analyses. British Medical Journal. 2003; 327(7414): 557. PMID: 12958120
18. DerSimonian R, Laird N. Meta-analysis in clinical trials. Control Clin Trials. 1986; 7: 177-188 PMID: 3802833
19. Higgins JP, Thompson SG. Quantifying heterogeneity in a meta-analysis. Stat Med. 2002; 21: 1539-1558 PMID: 12111919
20. Cucherat M, Boissel JP, Leizorovicz A, Haugh MC. EasyMA: a program for the meta-analysis of clinical trials. Comput Methods Programs Biomed. 1997; 53: 187-190 PMID: 9230453
21. Whiting P, Rutjes AW, Reitsma JB, Bossuyt PM, Kleijnen J. The development of QUADAS: a tool for the quality assessment of studies of diagnostic accuracy included in systematic reviews. BMC Med Res Methodol. 2003; 3: 25. PMID: 14606960
22. Reitsma JB, Glas AS, Rutjes AW, Scholten RJ, Bossuyt PM, Zwinderman AH. Bivariate analysis of sensitivity and specificity produces informative summary measures in diagnostic reviews. J Clin Epidemiol. 2005; 58: 982-990. PMID: 16168343
23. Moses LE, Shapiro D, Littenberg B. Combining independent studies of a diagnostic test into a summary ROC curve: data-analytic approaches and some additional considerations. Stat Med. 1993; 12: 1293-1316. PMID: 8210827
24. Adamik B, Kübler-Kielb J, Golebiowska B, Gamian A, Kübler A. Effect of sepsis and cardiac surgery with cardiopulmonary bypass on plasma level of nitric oxide metabolites, neopterin, and procalcitonin: correlation with mortality and postoperative complications. Intensive Care Med. 2000; 26: 1259-67. PMID: 11089751
25. Meng FS, Su L, Tang YQ, Wen Q, Liu YS, Liu ZF, et al. Serum procalcitonin at the time of admission to the ICU as a predictor of short-term mortality. Clin Biochem. 2009; 42: 1025-31. doi: 10.1016/j.clinbiochem.2009.03.012 PMID: 19324026
26. Yin Q, Liu B, Chen Y, Zhao Y, Li C. The role of soluble thrombomodulin in the risk stratification and prognosis evaluation of septic patients in the emergency department. Thromb Res. 2013; 132: 471-6. doi: 10.1016/j.thromres.2013.08.011 PMID: 24035044
27. Suberviola B, Castellanos-Ortega A, Ruiz Ruiz A, Lopez-Hoyos M, Santibañez M. Hospital mortality prognostication in sepsis using the new biomarkers suPAR and proADM in a single determination on ICU admission. Intensive Care Med. 2013; 39: 1945-52. doi: 10.1007/s00134-013-3056-z PMID: 23949703
28. Clec'h C, Fosse JP, Karoubi P, Vincent F, Chouahi I, Hamza L, et al. Differential diagnostic value of procalcitonin in surgical and medical patients with septic shock Crit Care Med. 2006; 34: 102-7. PMID: 16374163
29. Li Z, Wang H, Liu J, Chen B, Li G. Serum soluble triggering receptor expressed on myeloid cells-1 and procalcitonin can reflect sepsis severity and predict prognosis: a prospective cohort study. Mediators Inflamm. 2014; 2014: 641039 doi: 10.1155/2014/641039 PMID: 24672147
30. Masson S, Caironi P, Spanuth E, Thomae R, Panigada M, Sangiorgi G, et al. Presepsin (soluble CD14 subtype) and procalcitonin levels for mortality prediction in sepsis: data from the Albumin Italian Outcome Sepsis trial. Crit Care. 2014; 18: R6. doi: 10.1186/cc13183 PMID: 24393424
31. Yaroustovsky M, Plyushch M, Popov D, Samsonova N, Abramyan M, Popok Z, et al. Prognostic value of endotoxin activity assay in patients with severe sepsis after cardiac surgery. J Inflamm (Lond). 2014; 10: 8.
32. Feng L, Zhou X, Su LX, Feng D, Jia YH, Xie LX. Clinical significance of soluble hemoglobin scavenger receptor CD163 (sCD163) in sepsis, a prospective study. PLoS One. 2012; 7: e38400. doi: 10.1371/journal.pone.0038400 PMID: 22911680
33. Jain S, Sinha S, Sharma SK, Samantaray JC, Aggrawal P, Vikram NK, et al. Procalcitonin as a prognostic marker for sepsis: a prospective observational study. BMC Res Notes. 2014; 7: 458-458. doi: 10.1186/1756-0500-7-458 PMID: 25034373
34. Dahaba AA, Hagara B, Fall A, Rehak PH, List WF, Metzler H, et al. Procalcitonin for early prediction of survival outcome in postoperative critically ill patients with severe sepsis. British Journal of Anaesthesia. 2006; 97(4): 503-508. PMID: 16849384
35. Magrini L, Travaglino F, Marino R, Ferri E, De Berardinis B, Cardelli P, et al. Procalcitonin variations after Emergency Department admission are highly predictive of hospital mortality in patients with acute infectious diseases. European Review for Medical and Pharmacological Sciences. 2013; 17: 133-142. PMID: 23436675
36. Savva A, Raftogiannis M, Baziaka F, Routsi C, Antonopoulou A, Koutoukas P, et al. Soluble urokinase plasminogen activator receptor (suPAR) for assessment of disease severity in ventilator-associated pneumonia and sepsis. Journal of Infection. 2011; 63(5): 344-350. doi: 10.1016/j.jinf.2011.07.016 PMID: 21839112
37. Kenzaka T, Okayama M, Kuroki S, Fukui M, Yahata S, Hayashi H, et al. Use of a semiquantitative procalcitonin kit for evaluating severity and predicting mortality in patients with sepsis. International journal of general medicine. 2012; 5: 483-488. doi: 10.2147/IJGM.S32758 PMID: 22701089
38. Giamarellos-Bourboulis EJ, Tsangaris I, Kanni T, Mouktaroudi M, Pantelidou I, Adamis G, et al. Procalcitonin as an early indicator of outcome in sepsis: a prospective observational study. Journal of Hospital Infection. 2011; 77(1): 58-63. doi: 10.1016/j.jhin.2010.07.026 PMID: 21131099
39. Tschaikowsky K, Hedwig-Geissing M, Braun GG, Radespiel-Troeger M. Predictive value of procalcitonin, interleukin-6, and C-reactive protein for survival in postoperative patients with severe sepsis. J Crit Care. 2011; 26(1): 54-64. doi: 10.1016/j.jcrc.2010.04.011 PMID: 20646905
40. Schuetz P, Maurer P, Punjabi V, Desai A, Amin DN, Gluck E. Procalcitonin decrease over 72 hours in US critical care units predicts fatal outcome in sepsis patients. Crit Care. 2013; 17(3): R115. doi: 10.1186/cc12787 PMID: 23787145
41. Mat Nor MB, Md Ralib A. Procalcitonin clearance for early prediction of survival in critically ill patients with severe sepsis. Crit Care Res Pract. 2014; 2014: 819034. doi: 10.1155/2014/819034 PMID: 24719759
42. Ruiz-Rodríguez JC, Caballero J, Ruiz-Sanmartin A, Ribas VJ, Pérez M, Bóveda JL, et al. Usefulness of procalcitonin clearance as a prognostic biomarker in septic shock. A prospective pilot study. Medicina Intensiva. 2014; 36(7): 475-480.
43. Suberviola B, Castellanos-Ortega A, González-Castro A, García-Astudillo LA, Fernández-Miret B. Prognostic value of procalcitonin, C-reactive protein and leukocytes in septic shock. Medicina Intensiva. 2012; 36(3): 177-184. doi: 10.1016/j.medin.2011.09.008 PMID: 22055776
44. Karlsson S, Heikkinen M, Pettila¨ V, Alila S, Va¨isa¨nen S, Pulkki K, et al. Predictive value of procalcitonin decrease in patients with severe sepsis: A prospective observational study. Crit Care. 2010; 14(6): R205 doi: 10.1186/cc9327 PMID: 21078153
45. García de Guadiana-Romualdo LM, Rebollo-Acebes S, Esteban-Torrella P, Jiménez-Sánchez R, Hernando-Holgado A, Ortín-Freire A, et al. Prognostic value of lipopolysaccharide binding protein and procalcitonin in patients with severe sepsis and septic shock admitted to intensive care. Med Intensiva. 2015; 39(4): 207-212. doi: 10.1016/j.medin.2014.04.005 PMID: 24953001
46. Guan J, Lin Z, Lue H. Dynamic change of procalcitonin, rather than concentration itself, is predictive of survival in septic shock patients when beyond 10 ng/mL. Shock. 2011; 36(6): 570-574. doi: 10.1097/SHK.0b013e31823533f9 PMID: 21937947
47. Wacker C, Prkno A, Brunkhorst FM, Schlattmann P. Procalcitonin as a diagnostic marker for sepsis: a systematic review and meta-analysis. Lancet Infect Dis. 2014; 13(5): 426-35.
48. Jensen JU, Hein L, Lundgren B, Bestle MH, Mohr TT, Andersen MH, 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. doi: 10.1097/CCM.0b013e31821e8791 PMID: 21572328
49. Ferrer R, Artigas A, Levy MM, Blanco J, González-Díaz G, Garnacho-Montero J, et al. Improvement in process of care and outcome after a multicenter severe sepsis educational program in Spain. JAMA. 2008; 299: 2294-2303. doi: 10.1001/jama.299.19.2294 PMID: 18492971
50. Kiers HD, Griesdale DE, Litchfield A, Reynolds S, Gibney RT, Chittock D, et al. Effect of early achievement of physiologic resuscitation goals in septic patients admitted from the ward on the kidneys. J Crit Care. 2010; 24: 563-9.
51. Bessière F, Khenifer S, Dubourg J, Durieu I, Lega JC. Prognostic value of troponins in sepsis: a meta-analysis. Intensive Care Med. 2013; 39(7): 1181-9 doi: 10.1007/s00134-013-2902-3 PMID: 23595497
52. Zhang Z, Xu X. Lactate Clearance Is a Useful Biomarker for the Prediction of All-Cause Mortality in Critically Ill Patients: A Systematic Review and Meta-Analysis. Crit Care Med. 2014; 42(9): 2118-25 doi: 10.1097/CCM.0000000000000405 PMID: 24797375
53. Sandquist M, Wong HR. Biomarkers of sepsis and their potential value in diagnosis, prognosis and treatment. Expert Rev Clin Immunol. 2014; 21: 1-8.