Literature DB >> 23982403

Another look: is there a flaw to current hip septic arthritis diagnostic algorithms?

Chika Edward Uzoigwe1.   

Abstract

BACKGROUND: Septic arthritis is an emergency. In 1999 Kocher et al. identified four clinical criteria to distinguish hip septic arthritis from transient synovitis in children (nonweightbearing, erythrocyte sedimentation rate ≥ 40 mm/L, white blood cell count > 12 × 10(9)/L, temperature > 38.5°C). Subsequent authors evaluating the same criteria produced conflicting results. This calls into question the use of such diagnostic algorithms. The reasons for the differences remain unclear. QUESTIONS/PURPOSES: To what degree do studies, evaluating the predictive ability of diagnostic algorithms for septic arthritis, differ with regard to their results? Why do these differences exist? Is there a flaw in the statistical handling of the data?
METHODS: Using PubMed, original studies evaluating the clinical criteria for distinguishing hip septic arthritis and transient synovitis in children were identified. Clinical and statistical methods were examined.
RESULTS: Six studies evaluated the clinical criteria. Two found all four criteria able to distinguish septic arthritis from transient synovitis. There was significant variation between the studies in the risk engendered by the presence of each criteria. The differences were the result of the fact that in all cases, sample sizes were too small and in three cases, there were too few episodes of septic arthritis for a reliable predictive algorithm to be produced.
CONCLUSIONS: Differing results between studies appear as a result of sample size and insufficient cases of septic arthritis in some cohorts. Transferable and reliable results can be achieved if sufficiently large samples with an adequate number of cases of septic arthritis are recruited.

Entities:  

Mesh:

Year:  2013        PMID: 23982403      PMCID: PMC3971243          DOI: 10.1007/s11999-013-3142-0

Source DB:  PubMed          Journal:  Clin Orthop Relat Res        ISSN: 0009-921X            Impact factor:   4.176


  13 in total

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Authors:  S C Bagley; H White; B A Golomb
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Review 2.  A review of two journals found that articles using multivariable logistic regression frequently did not report commonly recommended assumptions.

Authors:  Kenneth J Ottenbacher; Heather R Ottenbacher; Leigh Tooth; Glenn V Ostir
Journal:  J Clin Epidemiol       Date:  2004-11       Impact factor: 6.437

3.  Demystifying "exact" logistic regression for pathologists.

Authors:  G Venkataraman; V Ananthanarayanan
Journal:  J Clin Pathol       Date:  2008-02       Impact factor: 3.411

4.  The use of CRP within a clinical prediction algorithm for the differentiation of septic arthritis and transient synovitis in children.

Authors:  R Singhal; D C Perry; F N Khan; D Cohen; H L Stevenson; L A James; J S Sampath; C E Bruce
Journal:  J Bone Joint Surg Br       Date:  2011-11

5.  Differentiating between septic arthritis and transient synovitis of the hip in children: an evidence-based clinical prediction algorithm.

Authors:  M S Kocher; D Zurakowski; J R Kasser
Journal:  J Bone Joint Surg Am       Date:  1999-12       Impact factor: 5.284

6.  Validation of a clinical prediction rule for the differentiation between septic arthritis and transient synovitis of the hip in children.

Authors:  Mininder S Kocher; Rahul Mandiga; David Zurakowski; Carol Barnewolt; James R Kasser
Journal:  J Bone Joint Surg Am       Date:  2004-08       Impact factor: 5.284

7.  Bias in odds ratios by logistic regression modelling and sample size.

Authors:  Szilard Nemes; Junmei Miao Jonasson; Anna Genell; Gunnar Steineck
Journal:  BMC Med Res Methodol       Date:  2009-07-27       Impact factor: 4.615

8.  Differentiation between septic arthritis and transient synovitis of the hip in children with clinical prediction algorithms.

Authors:  Scott J Luhmann; Angela Jones; Mario Schootman; J Eric Gordon; Perry L Schoenecker; Jan D Luhmann
Journal:  J Bone Joint Surg Am       Date:  2004-05       Impact factor: 5.284

9.  Acute pediatric monoarticular arthritis: distinguishing lyme arthritis from other etiologies.

Authors:  Amy Thompson; Rebekah Mannix; Richard Bachur
Journal:  Pediatrics       Date:  2009-03       Impact factor: 7.124

10.  Statistics review 14: Logistic regression.

Authors:  Viv Bewick; Liz Cheek; Jonathan Ball
Journal:  Crit Care       Date:  2005-01-13       Impact factor: 9.097

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  4 in total

1.  Reply to the Letter to the Editor: Another look: is there a flaw to current hip septic arthritis diagnostic algorithms?

Authors:  Chika Edward Uzoigwe
Journal:  Clin Orthop Relat Res       Date:  2013-10-22       Impact factor: 4.176

2.  Letter to the Editor: Another look: Is there a flaw to current hip septic arthritis diagnostic algorithms?

Authors:  Pablo Yagupsky
Journal:  Clin Orthop Relat Res       Date:  2013-10-18       Impact factor: 4.176

3.  A prospective study of screening for musculoskeletal pathology in the child with a limp or pseudoparalysis using erythrocyte sedimentation rate, C-reactive protein and MRI.

Authors:  P D Mitchell; A Viswanath; N Obi; A Littlewood; M Latimer
Journal:  J Child Orthop       Date:  2018-08-01       Impact factor: 1.548

4.  Test characteristics of history, examination and investigations in the evaluation for septic arthritis in the child presenting with acute non-traumatic limp. A systematic review.

Authors:  Jacky Tu; Peter Gowdie; Julian Cassar; Simon Craig
Journal:  BMJ Open       Date:  2020-12-30       Impact factor: 2.692

  4 in total

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