Skip to main content

Advertisement

Log in

Multivariate risk and clinical signs evaluations for early-onset sepsis on late preterm and term newborns and their economic impact

  • Original Article
  • Published:
European Journal of Pediatrics Aims and scope Submit manuscript

Abstract

There is an increasing evidence that strict evaluation of clinical signs is effective in detecting newborns at risk of early-onset sepsis (EOS) that require antibiotic therapy. In a retrospective case control design, we compared EOS antibiotic indication by clinical signs surveillance with multivariate risk analysis (EOSCalc), and estimate their costs. Newborns ≥ 34 weeks who received EOS antibiotics from June 2014 to December 2016 were studied. Were considered symptomatic those with three clinical signs within first 24 h or two signs and one risk factor present. Cost estimative was done using bottom-up hospital’s perspective. Eight thousand three hundred twenty-one were born, 384 were included. Two hundred nineteen (57%) would receive antibiotics by EOSCalc and 64 (16.7%) by clinical signs (p < 0.001). All patients with blood cultures were detected and false-negatives were absent. Total cost was US$ 574,121, estimate US$ 415,576 by EOSCalc, and US$ 314,353 by clinical signs (p < 0.001).

Conclusions: The use of EOSCalc and clinical signs surveillance seem to be safe and accurate methods in EOS management. Additionally, the two approaches have shown an economic advantage when compared with the hospital’s current practice.

What is Known:

EOSCalc is a useful method for screening of EOS in late preterm and term infants.

Presence of clinical signs and/or maternal risk factors are present newborns with EOS.

What is New:

Rigorous observation of clinical signs is a more accurate method than EOSCalc to screen for EOS in late preterm and term newborns.

• Rigorous observation of clinical signs is more economic than EOSCalc in managing EOS in late preterm and term neonates.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

Abbreviations

EOS:

Early-onset sepsis

EOSCalc:

Early-onset sepsis calculator

GBS:

Streptococcus agalactiae

NICU:

Neonatal intensive care unit

REDCap:

Research electronic data capture

TORCH:

Syphilis, toxoplasmosis, rubella, cytomegalovirus, herpes, acquired immunodeficiency syndrome

References

  1. World Health Organization (2018) World health statistics 2018: monitoring health for the SDG: sustainable development goals. World Health Organization, Geneva, 100 p

    Google Scholar 

  2. Centers for Disease Control and Prevention. Prevention of perinatal group B streptococcal disease revised guidelines from CDC, 2010. MMWR. 2010;59(RR-10):1–36

  3. Mukhopadhyay S, Eichenwald EC, Puopolo KM (2013) Neonatal early-onset sepsis evaluations among well-appearing infants: projected impact of changes in CDC GBS guidelines. J Perinatol 33(3):198–205

    Article  CAS  Google Scholar 

  4. Kuzniewicz MW, Walsh EM, Li S, Fischer A, Escobar GJ (2016) Development and implementation of an early-onset sepsis calculator to guide antibiotic management in late preterm and term neonates. Jt Comm J Qual Patient Saf 42:232–239

    PubMed  Google Scholar 

  5. Cantoni L, Ronfani L, Da Riol R, Demarini S (2013) Physical examination instead of laboratory tests for most infants born to mothers colonized with group B Streptococcus: support for the Centers for Disease Control and Prevention’s 2010 recommendations. J Pediatr 163(2):568–573

    Article  Google Scholar 

  6. Berardi A, Fornaciari S, Rossi C, Patianna V, Reggiani LB, Ferrari F et al (2015) Safety of physical examination alone for managing well-appearing neonates ≥ 35 weeks’ gestation at risk for early-onset sepsis. J Matern Fetal Neonatal Med 28(10):1123–1127

    Article  Google Scholar 

  7. Kuzniewicz MW, Puopolo KM, Fischer A, Walsh EM, Li S, Newman TB, Kipnis P, Escobar GJ (2017) A quantitative, risk-based approach to the management of neonatal early-onset sepsis. JAMA Pediatr 171(4):365–371

    Article  Google Scholar 

  8. Beavers JB, Shasha B, Perry J, Simpson J, Peeples S (2018) Implementation and evaluation of the early-onset sepsis risk calculator in a high-risk university nursery. Clin Pediatr 57(9):1080–1085

    Article  Google Scholar 

  9. Dhudasia MB, Mukhopadhyay S, Puopolo KM (2018) Implementation of the sepsis risk calculator at an academic birth hospital. Hosp Pediatr 8(5):243–250

    Article  Google Scholar 

  10. Lebedevs T, Sajogo M (2018) Effect of the neonatal early onset sepsis calculator on pharmacy-prepared empirical antibiotics. J Pharm Pract Res 48(5):450–453

    Article  Google Scholar 

  11. Escobar GJ, Puopolo KM, Wi S, Turk BJ, Kuzniewicz MW, Walsh EM, Newman TB, Zupancic J, Lieberman E, Draper D (2014) Stratification of risk of early-onset sepsis in newborns ≥34 weeks’ gestation. Pediatrics. 133(1):30–36

    Article  Google Scholar 

  12. Puopolo KM, Benitz WE, Zaoutis TE (2018) Committee on fetus and Newborn, Committee of Infectious Diseases. Management of neonates born at ≥35 0/7 weeks’ gestation with suspected or proven early-onset bacterial sepsis: guidance for the clinician in rendering pediatric. Pediatrics 142(6):e20182894

    Article  Google Scholar 

  13. Achten NB, Dorigo-Zetsma JW, van der Linden PD, van Brakel M, Plötz FB (2018) Sepsis calculator implementation reduces empiric antibiotics for suspected early-onset sepsis. Eur J Pediatr 77(5):741–746

    Article  Google Scholar 

  14. Strunk T, Buchiboyina A, Sharp M, Nathan E, Doherty D, Patole S (2018) Implementation of the neonatal sepsis calculator in an Australian tertiary perinatal Centre. Neonatology. 113(4):379–382

    Article  Google Scholar 

  15. Carola D, Vasconcellos M, Sloane A, McElwee D, Edwards C, Greenspan J et al (2018) Utility of early-onset sepsis risk calculator for neonates born to mothers with chorioamnionitis. J Pediatr 195:48–52.e1

    Article  Google Scholar 

  16. Joshi NS, Gupta A, Allan JM, Cohen RS, Aby JL, Weldon B, Kim JL, Benitz WE, Frymoyer A (2018) Clinical monitoring of well-appearing infants born to mothers with chorioamnionitis. Pediatrics. 141(4):e20172056

    Article  Google Scholar 

  17. Ministério da Saúde (2013) Organização Pan-Americana da Saúde. Introdução à Gestão de Custos em Saúde. Brasília, DF, Brasil: Ministério da Saúde

  18. Dukhovny D, Pursley DM, Kirpalani HM, Horbar JH, Zupancic JAF (2016) Evidence, quality, and waste: solving the value equation in neonatology. Pediatrics. 137(3):e20150312

    Article  Google Scholar 

  19. Nunes SEA, Minamisava R, da Silva Vieira MA, Itria A, Pessoa Junior VP, de Andrade ALSS et al (2017) Hospitalization costs of severe bacterial pneumonia in children: comparative analysis considering different costing methods. Einstein (São Paulo) 15(2):212–219

    Article  Google Scholar 

  20. Miura E, Silveira RC, Procianoy RS (1999) Sepse neonatal: diagnóstico e tratamento. J Pediatr (Rio J) 75(1):57–62

  21. Verstraete EH, Blot K, Mahieu L, Vogelaers D, Blot S (2015) Prediction models for neonatal healthcare-associated sepsis: a meta-analysis. Pediatrics. 135(4):1002–1014

    Article  Google Scholar 

  22. Puopolo KM (2017) Bacterial and Fungal Infections. In: Eichenwald EC, Hansen AR, Martin C, Stark AR (eds) Cloherty and Stark’s manual of neonatal care, 8th edn. Wolters Kluwer, Philadelphia, pp 684–719

    Google Scholar 

  23. Hawass N (1997) Comparing the sensitivities and specificities of two diagnostic procedures performed on the same group of patients. Br J Radiol 70(832):360–366

    Article  CAS  Google Scholar 

  24. Anh DD, Riewpaiboon A, Tho LH, Kim SA, Nyambat B, Kilgore P (2010) Treatment costs of pneumonia, meningitis, sepsis, and other diseases among hospitalized children in Viet Nam. J Health Popul Nutr 28(5):436–442

    PubMed  PubMed Central  Google Scholar 

  25. Gong CL, Dasgupta-Tsinika S, Zangwil KM, Bolaris M, Hay JW (2019) Early onset sepsis calculator-based management of newborns exposed to maternal intrapartum fever: a cost-benefit analysis. J Perinatol 39:571–580. https://doi.org/10.1038/s41372-019-0316-y

    Article  PubMed  Google Scholar 

  26. Prinja S, Manchanda N, Mohan P, Gupta G, Sethy G, Sen A, van den Hombergh H, Kumar R (2013) Cost of neonatal intensive care delivered through district level public hospitals in India. Indian Pediatr 50(9):839–846

    Article  Google Scholar 

  27. Ministério da Saúde (BR), Organização Pan-Americana da Saúde. Introdução à Gestão de Custos em Saúde. [Internet]. Brasília, DF.: Ministério da Saúde; 2013. 148 p. (Série Gestão e Economia da Saúde.; vol. 2). Disponível em: http://bvsms.saude.gov.br/bvs/publicacoes/introducao_gestao_custos_saude.pdf. Acesso em: 10 dez. 2018

  28. Azad MB, Bridgman SL, Becker AB, Kozyrskyj AL (2014) Pediatric original article infant antibiotic exposure and the development of childhood overweight and central adiposity. Int J Obesity 38(10):1290–1298

    Article  CAS  Google Scholar 

  29. Sun W, Svendsen ER, Karmaus WJJ, Kuehr J, Forster J (2015) Early-life antibiotic use is associated with wheezing among children with high atopic risk: a prospective European study. J Asthma 52(7):647–652

    Article  Google Scholar 

  30. Hirsch AG, Pollak J, Glass TA, Poulsen MN, Bailey-Davis L, Mowery J, Schwartz BS (2017) Early life antibiotic use and subsequent diagnosis of food allergy and allergic diseases. Clin Exp Allergy 47(2):236–244

    Article  CAS  Google Scholar 

  31. Kuppala VS, Meinzen-Derr J, Morrow AL, Schibler KR (2011) Prolonged initial empirical antibiotic treatment is associated with adverse outcomes in premature infants. J Pediatr 159(5):720–725

    Article  CAS  Google Scholar 

  32. Ting JY, Synnes A, Roberts A, Deshpandey A, Dow K, Yoon EW, Lee KS, Dobson S, Lee SK, Shah PS, for the Canadian Neonatal Network Investigators (2016) Association between antibiotic use and neonatal mortality and morbidities in very low-birth-weight infants without culture-proven sepsis or necrotizing enterocolitis. JAMA Pediatr 170(12):1181–1187

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Contributions

BCB wrote the draft, collected the data, were involved with statistical anlysis, and wrote and approved the definitive manuscript.

RCS wrote the draft, collected the data, were involved with statistical anlysis, and wrote and approved the definitive manuscript.

RSP wrote the draft, collected the data, were involved with statistical anlysis, and wrote and approved the definitive manuscript.

RPS wrote the draft, were involved with the economic analysis, and approved the definitive manuscript.

GBN wrote the draft, were involved with the economic analysis, and approved the definitive manuscript.

Corresponding author

Correspondence to Renato S. Procianoy.

Ethics declarations

Conflict of interest

The authors declare that they have no conflict of interest.

Ethical approval

The study was approved by the hospital’s Ethics in Research Review Board. This study does not contain any studies with human participants or animals performed by any of the authors.

Additional information

Communicated by Daniele De Luca

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Benincasa, B.C., Silveira, R.C., Schlatter, R.P. et al. Multivariate risk and clinical signs evaluations for early-onset sepsis on late preterm and term newborns and their economic impact. Eur J Pediatr 179, 1859–1865 (2020). https://doi.org/10.1007/s00431-020-03727-z

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00431-020-03727-z

Keywords

Navigation