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Related Experiment Video

Updated: Jul 16, 2025

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Defining Clinically Relevant Proximal Junctional Kyphosis.

Jeffrey Hills1, Michael P Kelly2

  • 1Orthopedic Surgery, University of Texas, San Antonio, TX, USA.

International Journal of Spine Surgery
|September 13, 2023
PubMed
Summary
This summary is machine-generated.

Proximal junctional kyphosis (PJK) is a spectrum, not a binary condition. Recognizing PJK as a continuum improves diagnosis and informs personalized medicine approaches for adult spinal deformity surgery.

Keywords:
complicationfailureglattesproximal junctional kyphosis

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Area of Science:

  • Spine surgery
  • Orthopedic research
  • Biomechanical engineering

Background:

  • Proximal junctional kyphosis (PJK) and failure are common complications after adult spinal deformity reconstruction.
  • Current definitions of PJK rely on expert opinion or statistical thresholds, potentially leading to misclassification.
  • PJK is better understood as a spectrum of manifestations related to spinal fusion and alignment.

Purpose of the Study:

  • To propose a paradigm shift in understanding proximal junctional kyphosis (PJK) as a spectrum of disease.
  • To advocate for probabilistic models to predict proximal junctional failure (PJF) in adult spinal deformity.
  • To reframe the definition of asymptomatic PJK.

Main Methods:

  • Review of existing literature and clinical definitions of PJK.
  • Analysis of the limitations of dichotomizing continuous clinical measures.
  • Conceptual framework for a spectrum-based approach to PJK and PJF.

Main Results:

  • Current definitions of PJK/failure/breakdown are inadequate due to dichotomization of continuous variables.
  • A spectrum-based understanding acknowledges PJK as a continuum of manifestations.
  • Probabilistic models are needed for personalized medicine in adult spinal deformity.

Conclusions:

  • Proximal junctional kyphosis/failure/breakdown should be viewed as a spectrum, not discrete categories.
  • The term "asymptomatic proximal junctional kyphosis" is more appropriate than defining arbitrary clinical relevance thresholds.
  • A precision medicine approach requires probabilistic models for predicting proximal junctional failure.