Skip to main content

Advertisement

Log in

Shivering has little diagnostic value in diagnosing serious bacterial infection in children: a systematic review and meta-analysis

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

Abstract

Early diagnosis of serious bacterial infections (SBI) is important for improving outcome of morbidity and mortality in children. A systematic review was conducted to examine if shivering had any value in diagnosing serious bacterial infection. We split our population (0–18 years old) into two categories depending on the presence of a known malignancy. The databases of Medline, Embase, Cinahl, and Web of Science were searched from inception until July 2019. The quality was assessed with the QUADAS-2 tool. Two by two tables were created, extracting the number of true positive (TP), true negative (TN), false positive (FP), and false negative (FN) regarding shivering and SBI, by 2 authors independently. Sensitivity, specificity, likelihood ratios, and their 95% confidence intervals were calculated using the MetaDATA Shiny app. In a population with known malignancy, we found a +LR of 3.47 (95% CI 2.58–4.36) for a serious bacterial infection when shivering was present, implying an increase of 25–30% possibility for a serious bacterial infection. In children without malignancy, diagnostic accuracy of shivering was poor.

Conclusion: Shivering is of limited use to diagnose serious bacterial infection in children without malignancy. Nevertheless, in children with known malignancy, it can be useful as an alarm signal.

What is Known:

In the NICE guidelines for febrile illness in children, “shivering” is considered as an intermediate risk factor (“amber” sign) for a serious illness.

A systematic literature search conducted in 2007 investigating the correlation between shivering in a febrile child and the presence of a serious bacterial infection could include only one study.

What is New:

Based on the results of this systematic review, shivering has little diagnostic value in children without malignancy but can be useful as an alarm sign of serious bacterial infection in children with known malignancy.

In case of absence of shivering, serious bacterial infection cannot be ruled out.

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.

Fig. 1
Fig. 2
Fig. 3
Fig. 4

Similar content being viewed by others

Abbreviations

AB:

Antibiotics

CI:

Confidence interval

CVC:

Central venous catheter

ED::

Emergency department

FN:

False negative

FN:

Febrile neutropenia

FP:

False positive

HC:

Hemoculture

HiB:

Haemophilus influenzae type b

IMD:

Immunodeficiency

LR:

Likelihood ratio

MeSH:

Medical subject headings

nfs:

Not further specified

NICE:

National Institute for Health and Care Excellence

NIHR:

National Institute for Health Research

QUADAS-2:

Quality Assessment of Diagnostic Accuracy Studies 2

RT:

Radiotherapy

SBI:

Serious bacterial infection

STC:

Stem cell transplant

TN:

True negative

TP:

True positive

References

  1. UNICEF TUNIG for CME (2015) Levels and trends in child mortality 2019. WHO. https://www.unicef.org/media/60561/file/UN-IGME-child-mortality-report-2019.pdf Accessed 28 October 2020.

  2. Ladhani S, Pebody RG, Ramsay ME, Lamagni TL, Johnson AP, Sharland M (2010) Continuing impact of infectious diseases on childhood deaths in England and Wales, 2003-2005. Pediatr Infect Dis J 29(4):310–313. https://doi.org/10.1097/INF.0b013e3181d73322

    Article  PubMed  Google Scholar 

  3. Launay E, Gras-Le Guen C, Martinot A, Assathiany R, Blanchais T, Mourdi N et al (2010) Suboptimal care in the initial management of children who died from severe bacterial infection: a population-based confidential inquiry. Pediatr Crit Care Med 11(4):469–474. https://doi.org/10.1097/PCC.0b013e3181ce752e

    Article  PubMed  Google Scholar 

  4. Van Den Bruel A, Thompson MJ, Haj-Hassan T, Stevens R, Moll H, Lakhanpaul M et al (2011) Diagnostic value of laboratory tests in identifying serious infections in febrile children: systematic review. BMJ 342:d3082. https://doi.org/10.1136/bmj.d3082

    Article  PubMed  Google Scholar 

  5. Brent AJ, Lakhanpaul M, Thompson M, Collier J, Ray S, Ninis N, Levin M, MacFaul R (2011) Risk score to stratify children with suspected serious bacterial infection: observational cohort study. Arch Dis Child 96(4):361–367. https://doi.org/10.1136/adc.2010.183111

    Article  PubMed  Google Scholar 

  6. Boron WF, Boulpaep EL. (2005) Medical physiology: a cellular and molecular approach (updated edition). In: Medical physiology: a cellular and molecular approach (updated edition). Saunders, US.

  7. Lee CC, Wu CJ, Chi CH, Lee NY, Chen PL, Lee HC, Chang CM, Ko NY, Ko WC (2012) Prediction of community-onset bacteremia among febrile adults visiting an emergency department: Rigor matters. Diagn Microbiol Infect Dis 73(2):168–173. https://doi.org/10.1016/j.diagmicrobio.2012.02.009

    Article  PubMed  Google Scholar 

  8. Davis T (2013) NICE guideline: feverish illness in children - assessment and initial management in children younger than 5 years. Arch Dis Child Educ Pract Ed 98(6):232–235. https://doi.org/10.1136/archdischild-2013-304792

    Article  PubMed  Google Scholar 

  9. Lumsden DE, de la Morandière KP (2007) Rigors in febrile children may be associated with a higher incidence of serious bacterial infection. EMJ 24(9):663. https://doi.org/10.1136/emj.2007.052282

    Article  PubMed  Google Scholar 

  10. Gulliford MC, Sun X, Charlton J, Winter JR, Bunce C, Boiko O, Fox R, Little P, Moore M, Hay AD, Ashworth M, SafeAB Research Group (2020) Serious bacterial infections and antibiotic prescribing in primary care: cohort study using electronic health records in the UK. BMJ Open 10(2):e036975. https://doi.org/10.1136/bmjopen-2020-036975

    Article  PubMed  PubMed Central  Google Scholar 

  11. Nijman RG, Vergouwe Y, Thompson M, van Veen M, van Meurs AH, van der Lei J, Steyerberg EW, Moll HA, Oostenbrink R (2013) Clinical prediction model to aid emergency doctors managing febrile children at risk of serious bacterial infections: diagnostic study. BMJ 346:f1706. https://doi.org/10.1136/bmj.f1706

    Article  PubMed  PubMed Central  Google Scholar 

  12. Irwin AD, Grant A, Williams R, Kolamunnage-Dona R, Drew RJ, Paulus S, Jeffers G, Williams K, Breen R, Preston J, Appelbe D, Chesters C, Newland P, Marzouk O, McNamara PS, Diggle PJ, Carrol ED (2017) Predicting risk of serious bacterial infections in febrile children in the emergency department. Pediatrics 140(2):e20162853

    Article  PubMed  Google Scholar 

  13. Rosenfeld-Yehoshua N, Barkan S, Abu-Kishk I, Booch M, Suhami R, Kozer E (2018) Hyperpyrexia and high fever as a predictor for serious bacterial infection (SBI) in children-a systematic review. Eur J Pediatr 177(3):337–44.14

    Article  PubMed  Google Scholar 

  14. Higgins JP, Thompson SG, Deeks JJ, Altman DG (2003) Measuring inconsistency in meta-analyses. BMJ 327(7414):557–560. https://doi.org/10.1136/bmj.327.7414.557

    Article  PubMed  PubMed Central  Google Scholar 

  15. Freeman SC, Kerby CR, Patel A, Cooper NJ, Quinn T, Sutton AJ (2019) Development of an interactive web-based tool to conduct and interrogate meta-analysis of diagnostic test accuracy studies: MetaDTA. BMC Med Res Methodol 19(1):81. https://doi.org/10.1186/s12874-019-0724-x

    Article  PubMed  PubMed Central  Google Scholar 

  16. Chu H, Cole SR (2006) Bivariate meta-analysis of sensitivity and specificity with sparse data: a generalized linear mixed model approach. J Clin Epidemiol 59(12):1331–1332 author reply 2-3

    Article  PubMed  Google Scholar 

  17. Bates D, Maechler M, Bolker B, Walker S, Haubo Bojesen Christensen R, Singmann H, et al (2018) lme4: Linear mixed-effects models using ‘Eigen’ and S4. R package version 1.1-18-1. https://CRAN.R-project.org/package=lme4

  18. Partlett C, Takwoingi Y (2016) Meta analysis of test accuracy studies in R: a summary of user-written programs and step-by-step guide to using glmer. Version 1.0 Available from: https://methods.cochrane.org/sdt/software-meta-analysis-dta-studies

  19. Jackson C (2018) msm: Multi-state Markov and hidden Markov models in continuous time. R package version 1.6.6. https://CRAN.R-project.org/package=msm

  20. Whiting PF, Weswood ME, Rutjes AWS, Reitsma JB, Bossuyt PNM, Kleijnen J (2006) Evaluation of QUADAS, a tool for the quality assessment of diagnostic accuracy studies. BMC Med Res Methodol 6:9. https://doi.org/10.1186/1471-2288-6-9

    Article  PubMed  PubMed Central  Google Scholar 

  21. Ammann RA, Hirt A, Lüthy AR, Aebi C (2004) Predicting bacteremia in children with fever and chemotherapy-induced neutropenia. Pediatr Infect Dis J 23(1):61–67

    Article  PubMed  Google Scholar 

  22. Bartholomew F, Aftandilian C, Andrews J, Gutierrez K, Luna-Fineman S, Jeng M (2015) Evaluation of febrile, nonneutropenic pediatric oncology patients with central venous catheters who are not given empiric antibiotics. J Pediatr 1 166(1):157–162

    Google Scholar 

  23. Agyeman P, Aebi C, Hirt A, Niggli FK, Nadal D, Simon A, Ozsahin H, Kontny U, Kühne T, Beck Popovic M, Leibundgut K, Bodmer N, Ammann RA (2011) Predicting bacteremia in children with cancer and fever in chemotherapy-induced neutropenia: Results of the prospective multicenter spog 2003 fn study. Pediatr Infect Dis J 30(7):e114–e119

    Article  PubMed  Google Scholar 

  24. Lucas KG, Brown AE, Armstrong D, Chapman D, Heller G (1996) The identification of febrile, neutropenic children with neoplastic disease at low risk for bacteremia and complications of sepsis. Cancer 77(4):791–798

    Article  CAS  PubMed  Google Scholar 

  25. Ammann RA, Hirt A, Lüthy AR, Aebi C (2003) Identification of children presenting with fever in chemotherapy-induced neutropenia at low risk for severe bacterial infection. Med Pediatr Oncol 41(5):436–443. https://doi.org/10.1002/mpo.10320

    Article  PubMed  Google Scholar 

  26. Doganis D, Asmar B, Yankelevich M, Thomas R, Ravindranath Y (2013) Predictive factors for blood stream infections in children with cancer. Pediatr Hematol Oncol 30(5):403–415. https://doi.org/10.3109/08880018.2013.778379

    Article  CAS  PubMed  Google Scholar 

  27. Esbenshade AJ, Pentima MC, Zhao Z, Shintani A, Esbenshade JC, Simpson ME, Montgomery KC, Lindell RB, Lee H, Wallace A, Garcia KL, Moons KG, Friedman DL (2015) Development and validation of a prediction model for diagnosing blood stream infections in febrile, non-neutropenic children with cancer. Pediatr Blood Cancer 62(2):262–268. https://doi.org/10.1002/pbc.25275

    Article  CAS  PubMed  Google Scholar 

  28. Ke ZY, Xu L, Zhang TT, Mo YL, Huang LB, Zhang XL, Luo XQ (2010) A prospective study of febrile episodes in inpatient children on chemotherapy. Pediatr Infect Dis J 29(10):968–970. https://doi.org/10.1097/INF.0b013e3181e32ab2

    Article  PubMed  Google Scholar 

  29. Ayoola OO, Adeyemo AA, Osinusi K (2002) Predictors of bacteraemia among febrile infants in Ibadan, Nigeria. J Health Popul Nutr 20(3):223–229

    PubMed  Google Scholar 

  30. Erell Y, Youngster I, Abu-Kishk I, Kozer E (2017) Shivering in febrile children: frequency and usefulness in predicting serious bacterial infections - a prospective case-control study. J Pediatr 190:258–260.e1. https://doi.org/10.1016/j.jpeds.2017.06.075

    Article  PubMed  Google Scholar 

  31. Shu LH, Xu JJ, Wang S, Zhong HQ, Dong XY, Jiang K, Zhang HY, Xiong Q, Wang C, Sun T, Sun C, Lu Q (2015) Distribution of pathogenic microorganisms and its relationship with clinical features in children with community-acquired pneumonia. Zhongguo Dang Dai Er Ke Za Zhi 17(10):1056–1061

    PubMed  Google Scholar 

  32. Tal Y, Even L, Kugelman A, Hardoff D, Srugo I, Jaffe M (1997) The clinical significance of rigors in febrile children. Eur J Pediatr 156(6):457–459. https://doi.org/10.1007/s004310050638

    Article  CAS  PubMed  Google Scholar 

  33. McGee S (2002) Simplifying likelihood ratios. J Gen Intern Med 17(8):646–649. https://doi.org/10.1046/j.1525-1497.2002.10750.x

    Article  PubMed  Google Scholar 

  34. Horeczko T, Enriquez B, McGrath NE, Gausche-Hill M, Lewis RJ (2013) The pediatric assessment triangle: accuracy of its application by nurses in the triage of children. J Emerg Nurs 39(2):182–189. https://doi.org/10.1016/j.jen.2011.12.020

    Article  PubMed  Google Scholar 

  35. Kerkhof E, Lakhanpaul M, Ray S, Verbakel JY, Van den Bruel A, Thompson M, Berger MY, Moll HA, Oostenbrink R; European Research Network on recognising serious InfEctions (ERNIE) members. (2014) The predictive value of the NICE “red traffic lights” in acutely ill children. PLoS One 9(3):e90847. doi: https://doi.org/10.1371/journal.pone.0090847

  36. De S, Williams GJ, Teixeira-Pinto A, Macaskill P, McCaskill M, Isaacs D et al (2015) Lack of accuracy of body temperature for detecting serious bacterial infection in febrile episodes. Pediatr Infect Dis J 34(9):940–944

    Article  PubMed  Google Scholar 

Download references

Availability of data and material

N/A.

Author information

Authors and Affiliations

Authors

Contributions

All authors (MV, KDB, EN, JT, JV) contributed to the study conception and design. Material preparation, data collection, and analysis were performed by MV, KDB, and JV. The first draft of the manuscript was written by MV, KDB, and JV, and all authors (MV, KDB, EN, JT, JV) commented on the previous versions of the manuscript. All authors (MV, KDB, EN, JT, JV) read and approved the final manuscript.

Corresponding author

Correspondence to Jan Y Verbakel.

Ethics declarations

Conflict of interest

The authors declare that they have no competing interests.

Ethical approval

This study does not require ethical approval because this is a systematic review of published articles. This article does not contain any studies with human participants or animals performed by any of the authors.

Consent to participate

Informed consent is not necessary for this study because this is a systematic review of published articles.

Consent for publication

N/A.

Code availability

N/A.

Additional information

Communicated by Gregorio Paolo Milani

Publisher’s note

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

Maud Vandenberk and Kasper De Bondt share first authorship.

Jaan Toelen and Jan Y Verbakel share last authorship.

Supplementary Information

ESM 1

(DOCX 15 kb)

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Vandenberk, M., De Bondt, K., Nuyts, E. et al. Shivering has little diagnostic value in diagnosing serious bacterial infection in children: a systematic review and meta-analysis. Eur J Pediatr 180, 1033–1042 (2021). https://doi.org/10.1007/s00431-020-03870-7

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00431-020-03870-7

Keywords

Navigation