Literature DB >> 28767638

Low Bone-Mineral Density Is a Significant Risk for Proximal Junctional Failure After Surgical Correction of Adult Spinal Deformity: A Propensity Score-Matched Analysis.

Mitsuru Yagi1,2,3, Nobuyuki Fujita1,3, Osahiko Tsuji1,3, Narihito Nagoshi1,3, Takashi Asazuma2, Ken Ishii3,4, Masaya Nakamura1,3, Morio Matsumoto1,3, Kota Watanabe1,3.   

Abstract

STUDY
DESIGN: A propensity-matched comparison of risk factors for proximal junctional failure (PJF), which is a symptomatic proximal junctional kyphosis developing after corrective surgery for adult spinal deformity (ASD).
OBJECTIVE: To elucidate the role of bone strength for developing PJF. SUMMARY OF BACKGROUND DATA: PJF, a devastating complication of corrective surgery for ASD, often recurs even after revision surgery. Most studies of risk factors for PJF are retrospective and have a selection bias in surgical strategy, making it difficult to identify modifiable PJF risk factors.
METHODS: We conducted propensity-matched comparisons of 113 surgically treated ASD patients who were followed for at least 2 years, to elucidate whether low bone-mineral density (BMD) was a true risk factor for PJF in a uniform population from a multicenter database. Patients were grouped as having mildly low to normal BMD (M group; T-score≧ - 1.5) or significantly low BMD (S group; T-score <  -1.5), and were propensity-matched for age, upper and lower instrumented vertebrae, history of spine surgery, and Schwab-Scoliosis Research Society (SRS) ASD classification. PJF was defined as a ≥20° increase from the baseline proximal junction angle with a concomitant deterioration of at least one SRS-Schwab sagittal modifier grade, or any type of proximal junctional kyphosis requiring revision.
RESULTS: PJF developed in 22 of 113 patients (19%). There were 48 propensity-matched patients in the M and S groups (24 in each) with similar parameters for age, body mass index, number of vertebrae involved, C7SVA, pelvic incidence  - LL, and SRS-Schwab type. In this propensity-matched population, the incidence of PJF was significantly higher in the S group (33% vs. 8%, P < 0.01, odds ratio 6.4, 95% CI: 1.2-32.3).
CONCLUSION: Low BMD was a significant risk factor for PJF in this propensity-matched cohort (odds ratio 6.4). Surgeons should consider prophylactic treatments when correcting ASD in patients with low BMD. LEVEL OF EVIDENCE: 3.

Entities:  

Mesh:

Year:  2018        PMID: 28767638     DOI: 10.1097/BRS.0000000000002355

Source DB:  PubMed          Journal:  Spine (Phila Pa 1976)        ISSN: 0362-2436            Impact factor:   3.468


  7 in total

Review 1.  Incidence and risk factors of proximal junctional kyphosis after internal fixation for adult spinal deformity: a systematic evaluation and meta-analysis.

Authors:  Jian Zhao; Kai Chen; Xiao Zhai; Kai Chen; Ming Li; Yanghu Lu
Journal:  Neurosurg Rev       Date:  2020-05-19       Impact factor: 3.042

2.  Effect of Preoperative Opiate Use on Outcomes After Posterior Lumbar Surgery.

Authors:  Alex Mierke; Omar Ramos; Jun Chung; Wayne K Cheng; Olumide Danisa
Journal:  Cureus       Date:  2022-02-27

3.  Factors influencing upper-most instrumented vertebrae selection in adult spinal deformity patients: qualitative case-based survey of deformity surgeons.

Authors:  Sohrab Virk; Uwe Platz; Shay Bess; Douglas Burton; Peter Passias; Munish Gupta; Themistocles Protopsaltis; Han Jo Kim; Justin S Smith; Robert Eastlack; Khaled Kebaish; Gregory M Mundis; Pierce Nunley; Christopher Shaffrey; Jeffrey Gum; Virginie Lafage; Frank Schwab
Journal:  J Spine Surg       Date:  2021-03

Review 4.  Proximal Junctional Kyphosis and Proximal Junctional Failure Following Adult Spinal Deformity Surgery.

Authors:  Seung-Jae Hyun; Byoung Hun Lee; Jong-Hwa Park; Ki-Jeong Kim; Tae-Ahn Jahng; Hyun-Jib Kim
Journal:  Korean J Spine       Date:  2017-12-31

5.  Sagittal alignment changes and postoperative complications following surgery for adult spinal deformity in patients with Parkinson's disease: a multi-institutional retrospective cohort study.

Authors:  Atsuyuki Kawabata; Toshitaka Yoshii; Kenichiro Sakai; Takashi Hirai; Masato Yuasa; Hiroyuki Inose; Yu Matsukura; Shingo Morishita; Masaki Tomori; Ichiro Torigoe; Kazuo Kusano; Kazuyuki Otani; Yoshiyasu Arai; Shigeo Shindo; Atsushi Okawa
Journal:  BMC Musculoskelet Disord       Date:  2021-04-16       Impact factor: 2.362

6.  Can Machine Learning Accurately Predict Postoperative Compensation for the Uninstrumented Thoracic Spine and Pelvis After Fusion From the Lower Thoracic Spine to the Sacrum?

Authors:  Nathan J Lee; Zeeshan M Sardar; Venkat Boddapati; Justin Mathew; Meghan Cerpa; Eric Leung; Joseph Lombardi; Lawrence G Lenke; Ronald A Lehman
Journal:  Global Spine J       Date:  2020-10-08

7.  A Systematic Review of Treatment Strategies for the Prevention of Junctional Complications After Long-Segment Fusions in the Osteoporotic Spine.

Authors:  Murray Echt; William Ranson; Jeremy Steinberger; Reza Yassari; Samuel K Cho
Journal:  Global Spine J       Date:  2020-08-04
  7 in total

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