Age-optimized cut-off values for pubofemoral distances in screening for hip dysplasia

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Abstract

Aims To establish cut-off values for lateral pubofemoral distance (PFD) measurements for detecting hip dysplasia in early (four days) and standard care (six weeks) screening for developmental dysplasia of the hip (DDH). Methods All newborns, during a one-year period (October 2021 to October 2022), were offered a PFD ultrasound (US) examination in addition to the existing screening programme for DDH. Newborns who were referred for standard care hip US, suspected for DDH, received a secondary PFD US examination in conjunction with the standard care Graf/Harcke hip US examination. Receiver operating characteristic curves and empirically optimal cut-off values were calculated with a true positive defined as a Graf type ≥ IIc hip. Results We included 2,735 newborns, of whom 758 received both early PFD hip US and standard care Graf/Harcke hip US. For early (four days) PFD screening, the optimal cut-off point was calculated to be 6.2 mm (95% CI 4.7 to 7.7) producing a sensitivity of 80% (95% CI 55% to 100%) and a specificity of 87% (86% to 89%). For PFD screening performed at standard care (six weeks) hip US, the optimal cut-off point was calculated to be 5.6 mm (95% CI 4.9 to 6.3) producing a sensitivity of 100% (95% CI 100% to 100%) and a specificity of 96% (95% CI 95% to 97%). Conclusion PFD US screening produces a high degree of both sensitivity and specificity for detecting DDH. Age-specific cut-off values should be used to heighten the accuracy of PFD US screening.

Original languageEnglish
JournalBone and Joint Open
Volume6
Issue2
Pages (from-to)119-125
Number of pages7
ISSN2633-1462
DOIs
Publication statusPublished - 2025

Keywords

  • clubfeet
  • Developmental dysplasia of the hip
  • developmental dysplasia of the hip (DDH)
  • femoral head
  • hip joint
  • hips
  • intraclass correlation coefficient (ICC)
  • Mass screening
  • musculoskeletal radiologists
  • orthopaedic surgeons
  • Paediatrics
  • retrospective analysis
  • sensitivity analysis
  • Ultrasound

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