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Footprint analysis of flatfoot in preschool-aged children

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Abstract

Our aim in this study was to analyze the footprint measurements of flatfoot in a population of preschool-aged children. Three footprint measurements, the Clarke's angle (CA), Chippaux-Smirak index (CSI), and Staheli arch index (AI), were used for comparison with clinical diagnosis. A total of 2,638 static footprints of children aged from 3 to 6 years were recorded. The clinical diagnosis as a gold standard compared with the results of the CA, CSI, and AI and displayed in a receiver operating characteristic (ROC) curve. In order to illustrate the diagnostic accuracy in clinical settings, their likelihood ratios were calculated given their cutoff points, and their pretest/posttest probabilities were plotted as the Fagan nomogram. The optimal cutoff points for CA, CSI, and AI were 14.04°, 62.70%, and 107.42%, respectively, and all of them showed high sensitivity. The areas under curves were 0.91, 0.95, and 0.92, respectively. The positive predictive values were 0.84, 0.91, and 0.85, and the negative predictive values were 0.82, 0.85, and 0.85, respectively. The positive likelihood ratio values for CA, CSI, and AI were 4.09, 7.52, and 4.61, and the negative likelihood ratio values were 0.18, 0.14, and 0.13, respectively. In conclusion, this study demonstrated that footprint analysis methods are suitable for diagnosing flatfoot in preschool-aged children, and that the most appropriate cutoffs are as follows: CA ≤ 14.04°, CSI > 62.70%, and AI > 107.42%. The CSI had a predictive probability of more than 90% and is recommended in screening for flatfoot in preschool-aged children.

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Abbreviations

CA:

Clarke's angle

CSI:

Chippaux-Smirak index

AI:

Staheli arch index

MLA:

medial longitudinal arch

BMI:

body mass index

ROC:

receiver operating characteristic

AUC:

area under the curve

FPR:

false-positive rate

TPR:

true-positive rate

PV+:

positive predictive value

PV−:

negative predictive value

LRs:

likelihood ratios

LR+:

positive likelihood ratio

LR−:

negative likelihood ratio

CI:

confidence interval

References

  1. Akobeng AK (2007) Understanding diagnostic tests 2: likelihood ratios, pre- and post-test probabilities and their use in clinical practice. Acta Paediatr 96(4):487–491

    Article  PubMed  Google Scholar 

  2. Akobeng AK (2007) Understanding diagnostic tests 3: receiver operating characteristic curves. Acta Paediatr 96(5):644–647

    Article  PubMed  Google Scholar 

  3. Cavanagh PR, Rodgers MM (1987) The arch index: a useful measure from footprints. J Biomech 20(5):547–551

    Article  PubMed  CAS  Google Scholar 

  4. Chang JH, Wang SH, Kuo CL et al (2010) Prevalence of flexible flatfoot in Taiwanese school-aged children in relation to obesity, gender, and age. Eur J Pediatr 169(4):447–452

    Article  PubMed  Google Scholar 

  5. Chen JP, Chung MJ, Wang MJ (2009) Flatfoot prevalence and foot dimensions of 5- to 13-year-old children in Taiwan. Foot Ankle Int 30(4):326–332

    Article  PubMed  Google Scholar 

  6. Clarke HH (1933) An objective method of measuring the height of the longitudinal arch in foot examinations. Res Q 4:99–107

    Google Scholar 

  7. Cobey JC, Sella E (1981) Standardizing methods of measurement of foot shape by including the effects of subtalar rotation. Foot Ankle 2(1):30–36

    PubMed  CAS  Google Scholar 

  8. Deeks JJ, Altman DG (2004) Diagnostic tests 4: likelihood ratios. BMJ 329:168–169

    Article  PubMed  Google Scholar 

  9. Echarri JJ, Forriol F (2003) The development in footprint morphology in 1851 Congolese children from urban and rural areas, and the relationship between this and wearing shoes. J Pediatr Orthop B 12(2):141–146

    Article  PubMed  Google Scholar 

  10. Fagan TJ (1975) Letter: Nomogram for Bayes theorem. N Engl J Med 293(5):257

    PubMed  CAS  Google Scholar 

  11. Fischer JE, Bachmann LM, Jaeschke R (2003) A readers' guide to the interpretation of diagnostic test properties: clinical example of sepsis. Intensive Care Med 29(7):1043–1051

    Article  PubMed  Google Scholar 

  12. Fluss R, Faraggi D, Reiser B (2005) Estimation of the Youden Index and its associated cutoff point. Biom J 47(4):458–472

    Article  PubMed  Google Scholar 

  13. Forriol F, Pascual J (1990) Footprint analysis between three and seventeen years of age. Foot Ankle 11(2):101–104

    PubMed  CAS  Google Scholar 

  14. Garcia-Rodriguez A, Martin-Jimenez F, Carnero-Varo M et al (1999) Flexible flat feet in children: a real problem? Pediatrics 103(6):e84

    Article  PubMed  CAS  Google Scholar 

  15. Hawes MR, Nachbauer W, Sovak D et al (1992) Footprint parameters as a measure of arch height. Foot Ankle 13(1):22–26

    PubMed  CAS  Google Scholar 

  16. Henning EM, Cavanagh PR (1985) Ultrasonic quantification of the arch of the weight-bearing foot. In Biomechanics IX-B 211–216

  17. Irwin LW (1937) A study of the tendency of school children to develop flat-footedness. Res Q 8:46–53

    Google Scholar 

  18. Kanatli U, Yetkin H, Cila E (2001) Footprint and radiographic analysis of the feet. J Pediatr Orthop 21(2):225–228

    Article  PubMed  CAS  Google Scholar 

  19. King DM, Toolan BC (2004) Associated deformities and hypermobility in hallux valgus: an investigation with weightbearing radiographs. Foot Ankle Int 25(4):251–255

    PubMed  Google Scholar 

  20. Langlotz CP (2003) Fundamental measures of diagnostic performance: usefulness for clinical decision makingand research. Radiology 228(1):3–9

    Article  PubMed  Google Scholar 

  21. Lin CJ, Lai KA, Kuan TS et al (2001) Correlating factors and clinical significance of flexible flatfoot in preschool children. J Pediatr Orthop 21(3):378–382

    Article  PubMed  CAS  Google Scholar 

  22. Lusted LB (1971) Signal detectability and medical decision-making. Science 171(977):1217–1219

    Article  PubMed  CAS  Google Scholar 

  23. Magee DJ, Zachazewski JE, Quillen WS (2008) Pathology and intervention in musculoskeletal rehabilitation. Elsevier

  24. Mickle KJ, Steele JR, Munro BJ (2006) The feet of overweight and obese young children: are they flat or fat? Obesity (Silver Spring) 14(11):1949–1953

    Article  Google Scholar 

  25. Mickle KJ, Steele JR, Munro BJ (2008) Is the foot structure of preschool children moderated by gender? J Pediatr Orthop 28(5):593–596

    Article  PubMed  Google Scholar 

  26. Pfeiffer M, Kotz R, Ledl T et al (2006) Prevalence of flat foot in preschool-aged children. Pediatrics 118(2):634–639

    Article  PubMed  Google Scholar 

  27. Queen RM, Mall NA, Hardaker WM et al (2007) Describing the medial longitudinal arch using footprint indices and a clinical grading system. Foot Ankle Int 28(4):456–462

    Article  PubMed  Google Scholar 

  28. Rose GK, Welton EA, Marshall T (1985) The diagnosis of flat foot in the child. J Bone Joint Surg Br 67(1):71–78

    PubMed  CAS  Google Scholar 

  29. Saltzman CL, Nawoczenski DA, Talbot KD (1995) Measurement of the medial longitudinal arch. Arch Phys Med Rehabil 76(1):45–49

    Article  PubMed  CAS  Google Scholar 

  30. Shores M (1980) Footprint analysis in gait documentation. An instructional sheet format. Phys Ther 60(9):1163–1167

    PubMed  CAS  Google Scholar 

  31. Staheli LT, Chew DE, Corbett M (1987) The longitudinal arch. A survey of eight hundred and eighty-two feet in normal children and adults. J Bone Joint Surg Am 69(3):426–428

    PubMed  CAS  Google Scholar 

  32. Villarroya MA, Esquivel JM, Tomas C et al (2009) Assessment of the medial longitudinal arch in children and adolescents with obesity: footprints and radiographic study. Eur J Pediatr 168(5):559–567

    Article  PubMed  Google Scholar 

  33. Volpon JB (1994) Footprint analysis during the growth period. J Pediatr Orthop 14(1):83–85

    Article  PubMed  CAS  Google Scholar 

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Acknowledgments

The authors thank all participants in this study and the physical therapists, Shiao-Wen Liu, Shiou-Han Yang, and Pei-Shan Tsai, who kindly provided assistance with data collection. This study was supported by research grants from the National Science Council, Taiwan (NSC99-2314-B-040-004-MY3).

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No party having a direct interest in the results of the research supporting this article has or will confer a benefit on us or on any organization with which we are associated.

Conflict of interest statement

All authors state that they do not keep any commercial, financial, or personal relationships that may lead to a conflict of interest that could inappropriately influence (bias) their work.

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Correspondence to Chun-Hou Wang.

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Ethical Board Review statement

Each author certifies that his institution approved the human protocol for this investigation that all investigations were conducted in conformity with ethical principles of research, and that informed consent for participation in the study was obtained. (CSMUH No: CS09114).

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Chen, KC., Yeh, CJ., Kuo, JF. et al. Footprint analysis of flatfoot in preschool-aged children. Eur J Pediatr 170, 611–617 (2011). https://doi.org/10.1007/s00431-010-1330-4

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