Sagittal age-adjusted score (SAAS) for adult spinal deformity (ASD) more effectively predicts surgical outcomes and proximal junctional kyphosis than previous classifications.

Age-adjusted alignment Global alignment and proportion Proximal junctional kyphosis SRS Schwab classification Sagittal Age-Adjusted Score

Journal

Spine deformity
ISSN: 2212-1358
Titre abrégé: Spine Deform
Pays: England
ID NLM: 101603979

Informations de publication

Date de publication:
01 2022
Historique:
received: 22 05 2020
accepted: 06 08 2021
pubmed: 31 8 2021
medline: 17 3 2022
entrez: 30 8 2021
Statut: ppublish

Résumé

Several methodologies have been proposed to determine ideal ASD sagittal spinopelvic alignment (SRS-Schwab classification) global alignment and proportion (GAP) score, patient age-adjusted alignment). A recent study revealed the ability and limitations of these methodologies to predict PJK. The aim of the study was to develop a new approach, inspired by SRS classification, GAP score, and age-alignment to improve the evaluation of the sagittal plane. A multi-center ASD database was retrospectively evaluated for surgically treated ASD patients with complete fusion of the lumbar spine, and minimum 2 year follow-up. The Sagittal age-adjusted score (SAAS) methodology was created by assigning numerical values to the difference between each patient's postoperative sagittal alignment and ideal alignment defined by previously reported age generational norms for PI-LL, PT, and TPA. Postoperative HRQOL and PJK severity between each SAAS categories were evaluated. 409 of 667 (61.3%) patients meeting inclusion criteria were evaluated. At 2 year SAAS score showed that 27.0% of the patients were under-corrected, 51.7% over-corrected, and 21.3% matched their age-adjusted target. SAAS score increased as PJK worsened (from SAAS = 0.2 for no-PJK, to 4.0 for PJF, p < 0.001). Post-operatively, HRQOL differences between SAAS groups included ODI, SRS pain, and SRS total. Inspired by SRS classification, the concept of the GAP score, and age-adjusted alignment targets, the results demonstrated significant association with PJK and patient reported outcomes. With a lower rate of failure and better HRQOL, the SAAS seems to represent a "sweet spot" to optimize HRQOL while mitigating the risk of mechanical complications.

Sections du résumé

BACKGROUND
Several methodologies have been proposed to determine ideal ASD sagittal spinopelvic alignment (SRS-Schwab classification) global alignment and proportion (GAP) score, patient age-adjusted alignment). A recent study revealed the ability and limitations of these methodologies to predict PJK. The aim of the study was to develop a new approach, inspired by SRS classification, GAP score, and age-alignment to improve the evaluation of the sagittal plane.
METHOD
A multi-center ASD database was retrospectively evaluated for surgically treated ASD patients with complete fusion of the lumbar spine, and minimum 2 year follow-up. The Sagittal age-adjusted score (SAAS) methodology was created by assigning numerical values to the difference between each patient's postoperative sagittal alignment and ideal alignment defined by previously reported age generational norms for PI-LL, PT, and TPA. Postoperative HRQOL and PJK severity between each SAAS categories were evaluated.
RESULTS
409 of 667 (61.3%) patients meeting inclusion criteria were evaluated. At 2 year SAAS score showed that 27.0% of the patients were under-corrected, 51.7% over-corrected, and 21.3% matched their age-adjusted target. SAAS score increased as PJK worsened (from SAAS = 0.2 for no-PJK, to 4.0 for PJF, p < 0.001). Post-operatively, HRQOL differences between SAAS groups included ODI, SRS pain, and SRS total.
CONCLUSION
Inspired by SRS classification, the concept of the GAP score, and age-adjusted alignment targets, the results demonstrated significant association with PJK and patient reported outcomes. With a lower rate of failure and better HRQOL, the SAAS seems to represent a "sweet spot" to optimize HRQOL while mitigating the risk of mechanical complications.

Identifiants

pubmed: 34460094
doi: 10.1007/s43390-021-00397-1
pii: 10.1007/s43390-021-00397-1
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

121-131

Commentaires et corrections

Type : ErratumIn

Informations de copyright

© 2021. Scoliosis Research Society.

Références

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Auteurs

Renaud Lafage (R)

Department of Orthopedics, Hospital for Special Surgery, 525 E 71st St., Belaire 4E, New York, NY, 10021, USA. renaud.lafage@gmail.com.

Justin S Smith (JS)

Department of Neurosurgery, University of Virginia Medical Center, Charlottesville, VA, USA.

Jonathan Elysee (J)

Department of Orthopedics, Hospital for Special Surgery, 525 E 71st St., Belaire 4E, New York, NY, 10021, USA.

Peter Passias (P)

Department of Orthopedics, NYU Langone Orthopedic Hospital, New York, NY, USA.

Shay Bess (S)

Denver International Spine Center, Presbyterian St. Luke's/Rocky Mountain Hospital for Children, Denver, CO, USA.

Eric Klineberg (E)

Department of Orthopaedic Surgery, University of California, Sacramento, Davis, CA, USA.

Han Jo Kim (HJ)

Department of Orthopedics, Hospital for Special Surgery, 525 E 71st St., Belaire 4E, New York, NY, 10021, USA.

Christopher Shaffrey (C)

Department of Neurosurgery, Duke University Medical Center, Durham, NC, USA.

Douglas Burton (D)

Department of Orthopaedics, University of Kansas Medical Center, Kansas, KS, USA.

Richard Hostin (R)

Department of Orthopaedic Surgery, Baylor Scoliosis Center, Dallas, TX, USA.

Gregory Mundis (G)

Scripps Clinic, San Diego, CA, USA.

Christopher Ames (C)

Department of Neurological Surgery, School of Medicine, University of California, San Francisco, CA, USA.

Frank Schwab (F)

Department of Orthopedics, Hospital for Special Surgery, 525 E 71st St., Belaire 4E, New York, NY, 10021, USA.

Virginie Lafage (V)

Department of Orthopedics, Hospital for Special Surgery, 525 E 71st St., Belaire 4E, New York, NY, 10021, USA.

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