Development of metabolic and inflammatory mediator biomarker phenotyping for early diagnosis and triage of pediatric sepsis

Critical Care

Volumn 19, Issue 1, 2015, Pages

  Mickiewicz, Beata ^a   Thompson, Graham C ^b   Blackwood, Jaime ^c   Jenne, Craig N ^a   Winston, Brent W ^a,b   Vogel, Hans J ^a   Joffe, Ari R ^c  

^a UNIVERSITY OF CALGARY   (Canada)

^b UNIVERSITY OF CALGARY   (Canada)

^c UNIVERSITY OF ALBERTA   (Canada)

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MARKER; ACUTE PHASE PROTEIN; CHEMOKINE; CYTOKINE; PLASMA PROTEIN;

ADOLESCENT; AREA UNDER THE CURVE; ARTICLE; BLOOD SAMPLING; CHILD; COHORT ANALYSIS; CONTROLLED STUDY; DECISION MAKING; DIAGNOSTIC ACCURACY; EARLY DIAGNOSIS; EMERGENCY HEALTH SERVICE; EMERGENCY WARD; FEMALE; GROUPS BY AGE; HUMAN; INTENSIVE CARE; INTENSIVE CARE UNIT; MAJOR CLINICAL STUDY; MALE; METABOLITE; METABOLOMICS; OBSERVATIONAL STUDY; PHENOTYPE; PRIORITY JOURNAL; PROSPECTIVE STUDY; RECEIVER OPERATING CHARACTERISTIC; SEPSIS; AGE; BLOOD; HOSPITAL EMERGENCY SERVICE; INFLAMMATION; METABOLISM; PEDIATRIC INTENSIVE CARE UNIT; PRESCHOOL CHILD; STATISTICS AND NUMERICAL DATA;

ACUTE-PHASE PROTEINS; ADOLESCENT; AGE FACTORS; BIOMARKERS; BLOOD PROTEINS; CHEMOKINES; CHILD; CHILD, PRESCHOOL; CYTOKINES; EARLY DIAGNOSIS; EMERGENCY SERVICE, HOSPITAL; FEMALE; HUMANS; INFLAMMATION; INTENSIVE CARE UNITS, PEDIATRIC; MALE; METABOLOMICS; PROSPECTIVE STUDIES; ROC CURVE; SEPSIS; TRIAGE;

EID: 84941267759     PISSN: 13648535     EISSN: 1466609X     Source Type: Journal    
DOI: 10.1186/s13054-015-1026-2     Document Type: Article

References (56)

1. Liu L, Johnson HL, Cousens S, Perin J, Scott S, Lawn JE, et al. Global, regional, and national causes of child mortality: an updated systematic analysis for 2010 with time trends since 2000. Lancet. 2012;379:2151-61.
2. Watson RS, Carcillo JA. Scope and epidemiology of pediatric sepsis. Pediatr Crit Care Med. 2005;6(3 Suppl):S3-5.
3. Watson RS, Carcillo JA, Linde-Zwirble WT, Clermont G, Lidicker J, Angus DC. The epidemiology of severe sepsis in children in the United States. Am J Respir Crit Care Med. 2003;167:695-701.
4. Hartman ME, Linde-Zwirble W, Angus DC, Watson RS. Trends in the epidemiology of pediatric severe sepsis. Pediatr Crit Care Med. 2013;14:686-93.
5. Dombrovskiy VY, Martin AA, Sunderram J, Paz HL. Rapid increase in hospitalization and mortality rates for severe sepsis in the United States: a trend analysis from 1993 to 2003. Crit Care Med. 2007;35:1244-50.
6. Martin GS, Mannino DM, Eaton S, Moss M. The epidemiology of sepsis in the United States from 1979 through 2000. N Engl J Med. 2003;348:1546-54.
7. Als LC, Nadel S, Cooper M, Pierce CM, Sahakian BJ, Garralda ME. Neuropsychologic function three to six months following admission to the PICU with meningoencephalitis, sepsis, and other disorders: a prospective study of school-aged children. Crit Care Med. 2013;41:1094-103.
8. Bronner MB, Knoester H, Sol JJ. An exploratory study on quality of life and psychological and cognitive function in pediatric survivors of septic shock. Pediatr Crit Care Med. 2009;10:636-42.
9. Conlon MP, Breatnach C, O'Hare BP, Mannion DW, Lyons BJ. Health related quality of life after prolonged pediatric intensive care unit stay. Pediatr Crit Care Med. 2009;10:41-4.
10. Farris RWD, Weiss NS, Zimmerman JJ. Functional outcomes in pediatric severe sepsis: further analysis of the researching severe sepsis and organ dysfunction in children. A global perspective trial. Pediatr Crit Care Med. 2013;14:835-42.
11. Weiss SL, Fitzgerald JC, Balamuth F, Alpern ER, Lavelle J, Chilutti M, et al. Delayed antimicrobial therapy increases mortality and organ dysfunction duration in pediatric sepsis. Crit Care Med. 2014;42:2409-17.
12. Beck V, Chateau D, Bryson GL, Pisipati A, Zanotti S, Parrillo JE, et al. Timing of vasopressor initiation and mortality in septic shock: a cohort study. Crit Care. 2014;18:R97.
13. Dellinger RP, Levy MM, Rhodes A, Annane D, Gerlach H, Opal SM, et al. Surviving Sepsis Campaign: international guidelines for management of severe sepsis and septic shock. Crit Care Med. 2013;41:580-637.
14. Fischer JE. Physicians' ability to diagnose sepsis in newborns and critically ill children. Pediatr Crit Care Med. 2005;6(3 Suppl):S120-5.
15. Wacker C, Prkno A, Brunkhorst FM, Schlattmann P. Procalcitonin as a diagnostic marker for sepsis: a systematic review and meta-analysis. Lancet Infect Dis. 2013;13:426-35.
16. Committee on the Future of Emergency Care in the United States Health System, Board on Health Care Services, Institute of Medicine. Emergency care for children: growing pains. Washington, DC: The National Academies Press; 2007.
17. Canadian Institute for Health Information (CIHI). Emergency departments and children in Ontario. Ottawa, ON, Canada: CIHI; April 2008 https://secure.cihi.ca/free_products/aib_apr24_08_en.pdf . Accessed 21 August 2015.
18. Kaplan JM, Wong HR. Biomarker discovery and development in pediatric critical care medicine. Pediatr Crit Care Med. 2011;12:165-73.
19. Nicholson JK, Holmes E, Kinross JM, Darzi AW, Takats Z, Lindon JC. Metabolic phenotyping in clinical and surgical environments. Nature. 2012;491:384-91.
20. Kiehntopf M, Nin N, Bauer M. Metabolism, metabolome, and metabolomics in intensive care: is it time to move beyond monitoring of glucose and lactate? Am J Resp Crit Care Med. 2013;187:906-7.
21. Banoei MM, Donnelly SJ, Mickiewicz B, Weljie A, Vogel HJ, Winston BW. Metabolomics in critical care medicine: a new approach to biomarker discovery. Clin Invest Med. 2014;37:E363-76.
22. Mickiewicz B, Duggan GE, Winston BW, Doig C, Kubes P, Vogel HJ, et al. Metabolic profiling of serum samples by 1H nuclear magnetic resonance spectroscopy as a potential diagnostic approach for septic shock. Crit Care Med. 2014;42:1140-9.
23. Mickiewicz B, Vogel HJ, Wong HR, Winston BW. Metabolomics as a novel approach for early diagnosis of pediatric septic shock and its mortality. Am J Respir Crit Care Med. 2013;187:967-76.
24. Mickiewicz B, Tam P, Jenne CN, Leger C, Wong J, Winston BW, et al. Integration of metabolic and inflammatory mediator profiles as a potential prognostic approach for septic shock in the intensive care unit. Crit Care. 2015;19:11.
25. Goldstein B, Giroir B, Randolph A, International Consensus Conference on Pediatric Sepsis. International pediatric sepsis consensus conference: definitions for sepsis and organ dysfunction in pediatrics. Pediatr Crit Care Med. 2005;6:2-8.
26. Leteurtre S, Martinot A, Duhamel A, Proulx F, Grandbastien B, Cotting J, et al. Validation of the paediatric logistic organ dysfunction (PELOD) score: prospective, observational, multicentre study. Lancet. 2003;362:192-7. A published erratum appears in. Lancet. 2006;367:902.
27. Pollack MM, Patel KM, Ruttimann UE. PRISM III: an updated Pediatric Risk of Mortality score. Crit Care Med. 1996;24:743-52.
28. 13C NMR spectroscopy of human blood plasma. Anal Chem. 1995;67:793-811.
29. 1H NMR metabolomics data. Anal Chem. 2006;78:4430-42.
30. Wishart DS, Knox C, Guo AC, Eisner R, Young N, Gautam B, et al. HMDB: a knowledgebase for the human metabolome. Nucleic Acids Res. 2009;37(Database issue):D603-10.
31. Eriksson L, Johansson E, Kettaneh-Wold N, Trygg J, Wikström C, Wold S. Multi- and megavariate data analysis. Part I: basic principles and applications. Umeå, Sweden: Umetrics; 2006. p. 425.
32. Eriksson L, Johansson E, Kettaneh-Wold N, Trygg J, Wikström C, Wold S. Multi- and megavariate data analysis. Part II: advanced applications and method extensions. Umeå, Sweden: Umetrics; 2006. p. 307.
33. van den Berg RA, Hoefsloot HC, Westerhuis JA, Smilde AK, van der Werf MJ. Centering, scaling, and transformations: improving the biological information content of metabolomics data. BMC Genomics. 2006;7:142.
34. Trygg J, Holmes E, Lundstedt T. Chemometrics in metabonomics. J Proteome Res. 2007;6:469-79.
35. Madsen R, Lundstedt T, Trygg J. Chemometrics in metabolomics: a review in human disease diagnosis. Anal Chim Acta. 2010;659:23-33.
36. Picard RR, Cook DR. Cross-validation of regression models. J Am Stat Assoc. 1984;79:575-83.
37. Fawcett T. An introduction to ROC analysis. Pattern Recognit Lett. 2006;27:861-74.
38. Zweig MH, Campbell G. Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine. Clin Chem. 1993;39:561-77.
39. Choong K, Bohn D, Fraser DD, Gaboury I, Hutchison JS, Joffe AR, et al. Vasopressin in pediatric vasodilatory shock: a multicenter randomized controlled trial. Am J Respir Crit Care Med. 2009;180:632-9.
40. Menon K, Ward RE, Lawson ML, Gaboury I, Hutchison JS, Hebert PC. A prospective multicenter study of adrenal function in critically ill children. Am J Respir Crit Care Med. 2010;182:246-51.
41. Thompson MJ, Ninis N, Perera R, Mayon-White R, Phillips C, Bailey L, et al. Clinical recognition of meningococcal disease in children and adolescents. Lancet. 2006;367:397-403.
42. Taguchi T, Yamashita E, Mizutani T, Nakajima H, Yabuuchi M, Asano N, et al. Hepatic glycogen breakdown is implicated in the maintenance of plasma mannose concentration. Am J Physiol Endocrinol Metab. 2005;288:E534-40.
43. Cicarelli DD, Vieira JE, Benseñor FEM. Comparison of C-reactive protein and serum amyloid A protein in septic shock patients. Mediators Inflamm. 2008;2008:631414. doi: 10.1155/2008/631414 .
44. Dalli J, Norling LV, Montero-Melendez T, Federici Canova D, Lashin H, Pavlov AM, et al. Microparticle alpha-2-macroglobulin enhances pro-resolving responses and promotes survival in sepsis. EMBO Mol Med. 2014;6:27-42.
45. Tian Y, Tao T, Zhu J, Zou Y, Wang J, Li J, et al. Soluble tumor necrosis factor related apoptosis inducing ligand level as a predictor of severity of sepsis and the risk of mortality in septic patients. PLoS One. 2013;8, e82204.
46. Xia J, Mandal R, Sinelnikov I, Broadhurst D, Wishart DS. MetaboAnalyst 2.0-a comprehensive server for metabolomic data analysis. Nucleic Acids Res. 2012;40:W127-33.
47. 1H-NMR and GC-MS metabolomics predicts early and late onset neonatal sepsis. Early Hum Dev. 2014;90 Suppl 1:S78-83.
48. Seiger N, Maconochie I, Oostenbrink R, Moll HA. Validity of different pediatric early warning scores in the emergency department. Pediatrics. 2013;132:e841-50.
49. Gold DL, Mihalov LK, Cohen DM. Evaluating the Pediatric Early Warning Score (PEWS) system for admitted patients in the pediatric emergency department. Acad Emerg Med. 2014;21:1249-56.
50. Breslin K, Marx J, Hoffman H, McBeth R, Pavuluri P. Pediatric Early Warning Score at time of emergency department disposition is associated with level of care. Pediatr Emer Care. 2014;30:97-103.
51. Bradman K, Borland M, Pascoe E. Predicting patient disposition in a paediatric emergency department. J Paediatr Child Health. 2014;50:E39-44.
52. Kentsis A, Lin YY, Kurek K, Calicchio M, Wang YY, Monigatti F, et al. Discovery and validation of urine markers of acute pediatric appendicitis using high-accuracy mass spectrometry. Ann Emerg Med. 2009;55:62-70.
53. Kentsis A, Ahmed S, Kurek K, Brennan E, Bradwin G, Steen H, et al. Detection and diagnostic value of urine leucine-rich aα-2-glycoprotein in children with suspected acute appendicitis. Ann Emerg Med. 2012;60:78-83.e1.
54. Wong HR, Cvijanovich NZ, Anas N, Allen GL, Thomas NJ, Bigham MT, et al. Developing a clinically feasible personalized medicine approach to pediatric septic shock. Am J Respir Crit Care Med. 2015;191:309-15.
55. Tüdos AJ, Besselink GAJ, Schasfoort RBM. Trends in miniaturized total analysis systems for point-of-care testing in clinical chemistry. Lab Chip. 2001;1:83-95.
56. Bell C, George C, Kicman AT, Traynor A. Development of a rapid LC-MS/MS method for direct urinalysis of designer drugs. Drug Test Anal. 2011;3:496-504.