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The clinical and radiographic degenerative spondylolisthesis classification and its predictive value

Henrik Constantin Bäcker1,2,3, Peter Turner4,5, Michael A Johnson5,6

  • 1Department of Orthopaedic Surgery, Royal Melbourne Hospital, 300 Grattan Street, Melbourne, VIC, 3050, Australia. Henrik.baecker@sports-med.org.

Archives of Orthopaedic and Trauma Surgery
|February 28, 2024
PubMed

Insights

The clinical and radiographic degenerative spondylolisthesis (CARDS) classification effectively predicts surgical outcomes for degenerative spondylolisthesis (DS). This classification aids in surgical planning and prognostication for improved patient results.

Area of Science:

  • Spine surgery
  • Radiographic classification
  • Degenerative spondylolisthesis

Background:

  • Degenerative spondylolisthesis (DS) is a common spinal condition.
  • The clinical and radiographic degenerative spondylolisthesis (CARDS) classification system has been developed for DS.
  • The CARDS classification categorizes DS into four types.

Purpose of the Study:

  • To analyze the functional and radiographic outcomes of DS surgery.
  • To evaluate the utility of the preoperative CARDS classification in predicting surgical success.

Main Methods:

  • Retrospective analysis of 54 patients who underwent surgery for DS at L4/5.
  • Utilized data from the Australian Spine Registry, including patient-reported outcomes (ODI, EQ-5D-3L) and radiographic measurements.
  • Classified preoperative X-rays using the CARDS classification system.

Main Results:

  • Most patients had CARDS type C (46%) or B (29%) DS.
  • Surgery significantly improved L4/5 lordosis alignment (19.8° to 23.5°, p < 0.05).
  • Preoperative CARDS classification scores correlated with postoperative alignment and functional outcomes (EQ-5D-3L).

Conclusions:

  • The CARDS classification correlates with preoperative functional scores in DS patients.
  • The CARDS classification helps predict patient response to surgery.
  • The CARDS system is a valuable tool for surgical planning and prognostication in DS.
Abstract

Keywords:
ClassificationFusionLumbarPredictionSpondylolisthesis

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