The Conceptualization and Derivation of the Cervical Lordosis Distribution Index.


Journal

Spine
ISSN: 1528-1159
Titre abrégé: Spine (Phila Pa 1976)
Pays: United States
ID NLM: 7610646

Informations de publication

Date de publication:
30 Sep 2024
Historique:
received: 09 05 2024
accepted: 09 06 2024
medline: 30 9 2024
pubmed: 30 9 2024
entrez: 30 9 2024
Statut: aheadofprint

Résumé

Yilgor et al developed the lumbar Lordosis Distribution Index to individualize the pelvic mismatch to each patient's pelvic incidence. The cervical lordosis distribution in relation to its apex has not been characterized. Tailor correction of cervical deformity by incorporating the cervical apex into a distribution index(CLDI) to maximize clinical outcomes while lowering rates of junctional failure. Retrospective cohort. CD patients with complete 2Y data were included. Optimal outcome is defined by no DJF, and meeting Virk et al Good Clinical Outcome Criteria:[Meeting 2 of 3: 1)an NDI<20 or meeting MCID, 2)mJOA>=14, 3)an NRS-Neck<=5 or improved by 2 or more points]. C2-T2 lordosis was divided into cranial (C2 to apex) and caudal (apex to T2) arches postoperatively. A cervical lordosis distribution index(CLDI) was developed by dividing the cranial lordotic arch(C2 to apex) by the total segment(C2-T2) and multiplying by 100. Cross-tabulations developed categories for CLDI producing the highest chi-square values for achieving Optimal Outcome at two years and outcomes were assessed by multivariable analysis controlling for significant confounders. 84 CD patients were included. Cervical apex distribution postoperatively was: 1% C3, 42% C4, 30% C5, 27% C6. Mean cervical LDI was 117±138. Mean cranial lordosis was 23.2±12.5°. Using cross-tabulations, a CLDI between 70 and 90 was defined as 'Aligned'. Chi-square test revealed significant differences among CLDI categories for DJK, DJF, Good Clinical Outcome, and Optimal Outcome(all P<0.05). Patients aligned in CLDI were less likely to develop DJK(OR: 0.1, [0.01-0.88]), more like to achieve GCO (OR: 3.9, [1.2-13.2]) and Optimal Outcome (OR: 7.9, [2.1-29.3] at two years. Patients aligned in CLDI developed DJF at a rate of 0%. The cervical lordosis distribution index, classified through the cranial segment, takes each unique cervical apex into account and tailors correction to the patient in order to better achieve good clinical outcomes and minimize catastrophic complications following cervical deformity surgery. III.

Sections du résumé

SUMMARY OF BACKGROUND DATA BACKGROUND
Yilgor et al developed the lumbar Lordosis Distribution Index to individualize the pelvic mismatch to each patient's pelvic incidence. The cervical lordosis distribution in relation to its apex has not been characterized.
OBJECTIVE OBJECTIVE
Tailor correction of cervical deformity by incorporating the cervical apex into a distribution index(CLDI) to maximize clinical outcomes while lowering rates of junctional failure.
STUDY DESIGN/SETTING METHODS
Retrospective cohort.
METHODS METHODS
CD patients with complete 2Y data were included. Optimal outcome is defined by no DJF, and meeting Virk et al Good Clinical Outcome Criteria:[Meeting 2 of 3: 1)an NDI<20 or meeting MCID, 2)mJOA>=14, 3)an NRS-Neck<=5 or improved by 2 or more points]. C2-T2 lordosis was divided into cranial (C2 to apex) and caudal (apex to T2) arches postoperatively. A cervical lordosis distribution index(CLDI) was developed by dividing the cranial lordotic arch(C2 to apex) by the total segment(C2-T2) and multiplying by 100. Cross-tabulations developed categories for CLDI producing the highest chi-square values for achieving Optimal Outcome at two years and outcomes were assessed by multivariable analysis controlling for significant confounders.
RESULTS RESULTS
84 CD patients were included. Cervical apex distribution postoperatively was: 1% C3, 42% C4, 30% C5, 27% C6. Mean cervical LDI was 117±138. Mean cranial lordosis was 23.2±12.5°. Using cross-tabulations, a CLDI between 70 and 90 was defined as 'Aligned'. Chi-square test revealed significant differences among CLDI categories for DJK, DJF, Good Clinical Outcome, and Optimal Outcome(all P<0.05). Patients aligned in CLDI were less likely to develop DJK(OR: 0.1, [0.01-0.88]), more like to achieve GCO (OR: 3.9, [1.2-13.2]) and Optimal Outcome (OR: 7.9, [2.1-29.3] at two years. Patients aligned in CLDI developed DJF at a rate of 0%.
CONCLUSION CONCLUSIONS
The cervical lordosis distribution index, classified through the cranial segment, takes each unique cervical apex into account and tailors correction to the patient in order to better achieve good clinical outcomes and minimize catastrophic complications following cervical deformity surgery.
LEVEL OF EVIDENCE METHODS
III.

Identifiants

pubmed: 39344101
doi: 10.1097/BRS.0000000000005086
pii: 00007632-990000000-00795
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024 Wolters Kluwer Health, Inc. All rights reserved.

Auteurs

Peter G Passias (PG)

Division of Spine, Department of Orthopaedic Surgery, Duke University Medical Center, Durham, NC, US.

Tyler K Williamson (TK)

Division of Spine, Department of Orthopaedic Surgery, Duke University Medical Center, Durham, NC, US.
Department of Orthopaedic Surgery, University of Texas Health San Antonio, San Antonio, TX US.

Pooja Dave (P)

Division of Spine, Department of Orthopaedic Surgery, Duke University Medical Center, Durham, NC, US.

Justin S Smith (JS)

Department of Orthopaedic Surgery, University of Virginia, Charlottesville, VA, US.

Oscar Krol (O)

Division of Spine, Department of Orthopaedic Surgery, Duke University Medical Center, Durham, NC, US.

Renaud Lafage (R)

Department of Orthopedic Surgery, Northwell Health, Lenox Hill Hospital; New York, NY, US.

Breton Line (B)

Department of Spine Surgery, Denver International Spine Center, Presbyterian St. Luke's Medical Center/Rocky Mountain Hospital for Children; Denver, CO, US.

Bassel G Diebo (BG)

Department of Orthopaedic Surgery, Warren Alpert Medical School of Brown University/Rhode Island Hospital; Providence, RI, US.

Alan H Daniels (AH)

Department of Orthopaedic Surgery, Warren Alpert Medical School of Brown University/Rhode Island Hospital; Providence, RI, US.

Eric O Klineberg (EO)

Department of Orthopaedic Surgery, University of Texas Health Houston, Houston, TX, US.

Robert K Eastlack (RK)

Department of Orthopaedic Surgery, Scripps Clinic; San Diego, CA, US.

Shay Bess (S)

Department of Spine Surgery, Denver International Spine Center, Presbyterian St. Luke's Medical Center/Rocky Mountain Hospital for Children; Denver, CO, US.

Frank J Schwab (FJ)

Department of Orthopedic Surgery, Northwell Health, Lenox Hill Hospital; New York, NY, US.

Christopher I Shaffrey (CI)

Division of Spine, Departments of Orthopaedic and Neurosurgery, Duke University Medical Center, Durham, NC, US.

Virginie Lafage (V)

Department of Orthopedic Surgery, Northwell Health, Lenox Hill Hospital; New York, NY, US.

Christopher P Ames (CP)

Department of Neurological Surgery, University of California, San Francisco, San Francisco, CA, US.

Classifications MeSH