Which biomarkers reveal neonatal sepsis?

PLoS ONE

Volumn 8, Issue 12, 2013, Pages

  Wang, Kun ^a,b   Bhandari, Vineet ^c   Chepustanova, Sofya ^a   Huber, Greg ^d   O'Hara, Stephen ^a   O'Hern, Corey S ^b   Shattuck, Mark D ^e   Kirby, Michael ^f  

^a Department of Environmental and Radiological Health Sciences   (United States)

^b Yale University   (United States)

^c YALE UNIVERSITY SCHOOL OF MEDICINE   (United States)

^d UNIVERSITY OF CALIFORNIA   (United States)

^e CITY COLLEGE OF NEW YORK   (United States)

^f NONE

Author keywords

[No Author keywords available]

Indexed keywords

BIOLOGICAL MARKER; CD64 ANTIGEN; HEMOGLOBIN;

ARTICLE; CONTROLLED CLINICAL TRIAL; CONTROLLED STUDY; CORRELATION ANALYSIS; DIAGNOSTIC ACCURACY; DIAGNOSTIC TEST ACCURACY STUDY; DISEASE CLASSIFICATION; FEMALE; HEMATOLOGY; HUMAN; HUMAN CELL; LEUKOCYTE; LEUKOCYTE COUNT; LOGISTIC REGRESSION ANALYSIS; MAJOR CLINICAL STUDY; MALE; MONOCYTE; NEUTROPHIL COUNT; NEWBORN; NEWBORN INTENSIVE CARE; NEWBORN SEPSIS; OUTCOME ASSESSMENT; PARTICLE SIZE; PREDICTIVE VALUE; PROSPECTIVE STUDY; RECEIVER OPERATING CHARACTERISTIC; SPARSE SUPPORT VECTOR MACHINE; SUPPORT VECTOR MACHINE; THROMBOCYTE; VALIDATION PROCESS;

BIOLOGICAL MARKERS; HUMANS; LOGISTIC MODELS; SEPSIS; SUPPORT VECTOR MACHINES;

EID: 84893168861     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0082700     Document Type: Article

References (58)

1. Garcia-Prats JA, Cooper TR, Schneider VF, Stager CE, Hansen TN (2000) Rapid detection of microorganisms in blood cultures of newborn infants utilizing an automated blood culture system. Pediatrics 105: 523-527.
2. Ganatra HA, Stoll BJ, Zaidi AK (2010) International perspective on early-onset neonatal sepsis. Clinics in Perinatology 37: 501-523.
3. Stoll BJ, Hansen N, Fanaroff AA, Wright LL, Carlo WA, et al. (2002) Late-onset sepsis in very low birth weight neonates: the experience of the nichd neonatal research network. Pediatrics 110: 285-291.
4. Charalampos P, Vincent JL (2010) Sepsis biomarkers: a review. Critical Care 14: R15.
5. Gibot S, Béné MC, Noel R, Massin F, Guy J, et al. (2012) Combination biomarkers to diagnose sepsis in the critically ill patient. American journal of respiratory and critical care medicine 186: 65-71.
6. Gonzalez BE, Mercado CK, Johnson L, Brodsky NL, Bhandari V (2003) Early markers of late-onset sepsis in premature neonates: clinical, hematological and cytokine profile. Journal of perinatal medicine 31: 60-68.
7. Benitz WE (2010) Adjunct laboratory tests in the diagnosis of early-onset neonatal sepsis. Clinics in Perinatology 37: 421-438.
8. Rodwell RL, Leslie AL, Tudehope DI (1988) Early diagnosis of neonatal sepsis using a hematologic scoring system. The Journal of pediatrics 112: 761-767.
9. Ng PC, Cheng SH, Chui KM, Fok TF, Wong MY, et al. (1997) Diagnosis of late onset neonatal sepsis with cytokines, adhesion molecule, and c-reactive protein in preterm very low birthweight infants. Archives of Disease in Childhood-Fetal and Neonatal Edition 77: F221-F227.
10. Da Silva O, Ohlsson A, Kenyon C (1995) Accuracy of leukocyte indices and creactive protein for diagnosis of neonatal sepsis: a critical review. The Pediatric infectious disease journal 14: 362-366.
11. Monneret G, Labaune J, Isaac C, Bienvenu F, Putet G, et al. (1997) Procalcitonin and c-reactive protein levels in neonatal infections. Acta Paediatrica 86: 209-212.
12. Hatherill M, Tibby SM, Sykes K, Turner C, Murdoch IA (1999) Diagnostic markers of infection: comparison of procalcitonin with c reactive protein and leucocyte count. Archives of disease in childhood 81: 417-421.
13. Malik A, Hui CP, Pennie RA, Kirpalani H (2003) Beyond the complete blood cell count and c-reactive protein: a systematic review of modern diagnostic tests for neonatal sepsis. Archives of pediatrics & adolescent medicine 157: 511.
14. Bhandari V, Wang C, Rinder C, Rinder H (2008) Hematologic profile of sepsis in neonates: Neutrophil CD64 as a diagnostic marker. Pediatrics 121: 129.
15. Ng PC, Li G, Chui KM, Chu WC, Li K, et al. (2004) Neutrophil cd64 is a sensitive diagnostic marker for early-onset neonatal infection. Pediatric research 56: 796-803.
16. Ng P, Li K, Wong P, Chui KM, Wong E, et al. (2002) Neutrophil cd64 expression: a sensitive diagnostic marker for late-onset nosocomial infection in very low birthweight infants. Pediatric research 51: 296-303.
17. Mangasarian OL (1999) Arbitrary-norm separating plane. Operations Research Letters 24: 15-23.
18. Chepustanova S, Gittins C, KirbyM(2013) Band selection in hyperspectral imagery using sparse support vector machines. submitted.
19. Mardia KV, Kent JT, Bibby JM (1980) Multivariate analysis.
20. Srinivasan L, Harris MC (2012) New technologies for the rapid diagnosis of neonatal sepsis. Current Opinion in Pediatrics 24: 165.
21. Mussap M (2012) Laboratory medicine in neonatal sepsis and inflammation. Journal of Maternal-Fetal and Neonatal Medicine 25: 24-26.
22. Efroymson M (1960) Multiple regression analysis. Mathematical methods for digital computers 1: 191-203.
23. Sjöstrand K, Clemmensen LH, Larsen R, Ersbøll B (2012) Spasm: A matlab toolbox for sparse statistical modeling. Journal of Statistical Software Accepted for publication.
24. Milbrandt EB, Clermont G, Martinez J, Kersten A, Rahim MT, et al. (2006) Predicting late anemia in critical illness. Crit Care 10: R39.
25. Tibshirani R (1996) Regression shrinkage and selection via the lasso. Journal of the Royal Statistical Society Series B (Methodological): 267-288.
26. Ng AY (2004) Feature selection, l 1 vs. l 2 regularization, and rotational invariance. In: Proceedings of the twenty-first international conference on Machine learning. ACM, p. 78.
27. Streimish I, Bizzarro M, Northrup V, Wang C, Renna S, et al. (2012) Neutrophil cd64 as a diagnostic marker in neonatal sepsis. The Pediatric infectious disease journal 31: 777-781.
28. Klinger G, Levy I, Sirota L, Boyko V, Reichman B, et al. (2009) Epidemiology and risk factors for early onset sepsis among very-low-birthweight infants. American journal of obstetrics and gynecology 201: 38-e1.
29. Benitz WE, Gould JB, Druzin ML (1999) Risk factors for early-onset group b streptococcal sepsis: estimation of odds ratios by critical literature review. Pediatrics 103: e77.
30. Streimish I, Bizzarro M, Northrup V, Wang C, Renna S, et al. (2013) Neutrophil cd64 with hematologic criteria for diagnosis of neonatal sepsis. American Journal of Perinatology.
31. Horan TC, Andrus M, Dudeck MA (2008) CDC/NHSN surveillance definition of health care-associated infection and criteria for specific types of infections in the acute care setting. American journal of infection control 36: 309-332.
32. Morik K, Brockhausen P, Joachims T (1999) Combining statistical learning with a knowledge-based approach-a case study in intensive care monitoring. In: Machine Learning-International Workshop Then Conference. Morgan Kaufmann Publishers, Inc., pp. 268-277.
33. Tofallis C (1999) Model building with multiple dependent variables and constraints. Journal of the Royal Statistical Society: Series D (The Statistician) 48: 371-378.
34. Björck A, Golub GH (1973) Numerical methods for computing angles between linear subspaces. Mathematics of computation 27: 579-594.
35. Breiman L (1996) Bagging predictors. Machine learning 24: 123-140.
36. Dietterich TG (2000) Ensemble methods in machine learning. In: Multiple classifier systems, Springer. pp. 1-15.
37. Singh SA, Dutta S, Narang A (2003) Predictive clinical scores for diagnosis of late onset neonatal septicemia. Journal of tropical pediatrics 49: 235-239.
38. Manucha V, Rusia U, Sikka M, Faridi M, Madan N (2002) Utility of haematological parameters and c-reactive protein in the detection of neonatal sepsis. Journal of paediatrics and child health 38: 459-464.
39. Nigro KG, ORiordan M, Molloy EJ, Walsh MC, Sandhaus LM (2005) Performance of an automated immature granulocyte count as a predictor of neonatal sepsis. American journal of clinical pathology 123: 618-624.
40. Kudawla M, Dutta S, Narang A (2008) Validation of a clinical score for the diagnosis of late onset neonatal septicemia in babies weighing 1000-2500 g. Journal of tropical pediatrics 54: 66-69.
41. Waliullah S, Islam M, Siddika M, Hossain M, Jahan I, et al. (2010) Evaluation of simple hematological screen for early diagnosis of neonatal sepsis. Mymensingh medical journal: MMJ 19: 41.
42. Selimovic A, Skokic F, Bazardzanovic M, Selimovic Z (2010) The predictive score for early-onset neonatal sepsis. Turk J Pediatr 52: 139-144.
43. Narasimha A, Kumar MH (2011) Significance of hematological scoring system (hss) in early diagnosis of neonatal sepsis. Indian Journal of Hematology and Blood Transfusion 27: 14-17.
44. Mannan M, Shahidullah M, Noor M, Islam F, Alo D, et al. (2010) Utility of creactive protein and hematological parameters in the detection of neonatal sepsis. Mymensingh medical journal: MMJ 19: 259-263.
45. Sastre JBL, Solís DP, Serradilla VR, Colomer BF, Cotallo GDC, et al. (2006) Procalcitonin is not sufficiently reliable to be the sole marker of neonatal sepsis of nosocomial origin. BMC pediatrics 6: 16.
46. Cetinkaya M, Özkan H, Köksal N, S Çelebi MH, et al. (2008) Comparison of serum amyloid a concentrations with those of c-reactive protein and procalcitonin in diagnosis and follow-up of neonatal sepsis in premature infants. Journal of Perinatology 29: 225-231.
47. Naher B, Mannan M, Noor K, Shahidullah M (2011) Role of serum procalcitonin and c-reactive protein in the diagnosis of neonatal sepsis. Bangladesh Medical Research Council Bulletin 37: 40-46.
48. Fendler WM, Piotrowski AJ (2008) Procalcitonin in the early diagnosis of nosocomial sepsis in preterm neonates. Journal of paediatrics and child health 44: 114-118.
49. Vouloumanou EK, Plessa E, Karageorgopoulos DE, Mantadakis E, Falagas ME (2011) Serum procalcitonin as a diagnostic marker for neonatal sepsis: a systematic review and meta-analysis. Intensive care medicine 37: 747-762.
50. Layseca-Espinosa E, Pérez-González LF, Torres-Montes A, Baranda L, De La Fuente H, et al. (2002) Expression of cd64 as a potential marker of neonatal sepsis. Pediatric allergy and immunology 13: 319-327.
51. Ng PC, Lam HS (2010) Biomarkers for late-onset neonatal sepsis: cytokines and beyond. Clinics in perinatology 37: 599-610.
52. Morsy A, Elshall L, Zaher M, Abd EM, Nassr A (2008) Cd64 cell surface expression on neutrophils for diagnosis of neonatal sepsis. The Egyptian journal of immunology/Egyptian Association of Immunologists 15: 53.
53. Groselj-Grenc M, Ihan A, Derganc M (2008) Neutrophil and monocyte cd64 and cd163 expression in critically ill neonates and children with sepsis: comparison of fluorescence intensities and calculated indexes. Mediators of inflammation 2008.
54. Groselj-Grenc M, Ihan A, Pavcnik-Arnol M, Kopitar AN, Gmeiner-Stopar T, et al. (2009) Neutrophil and monocyte cd64 indexes, lipopolysaccharide-binding protein, procalcitonin and c-reactive protein in sepsis of critically ill neonates and children. Intensive care medicine 35: 1950-1958.
55. Zeitoun AA, Gad SS, Attia FM, Abu Maziad AS, Bell EF (2010) Evaluation of neutrophilic cd64, interleukin 10 and procalcitonin as diagnostic markers of earlyand late-onset neonatal sepsis. Scandinavian journal of infectious diseases 42: 299-305.
56. Dilli D, Oguz ŞS, Dilmen U, Köker MY, Kizilgün M (2010) Predictive values of neutrophil cd64 expression compared with interleukin-6 and c-reactive protein in early diagnosis of neonatal sepsis. Journal of clinical laboratory analysis 24: 363-370.
57. Davis BH, Bigelow NC (2005) Comparison of neutrophil cd64 expression, manual myeloid immaturity counts, and automated hematology analyzer flags as indicators of infection or sepsis. Laboratory Hematology 11: 137-147.
58. Choo YK, Cho HS, Seo IB, Lee HS (2012) Comparison of the accuracy of neutrophil cd64 and c-reactive protein as a single test for the early detection of neonatal sepsis. Korean journal of pediatrics 55: 11-17.