Factors affecting approach selection for minimally invasive versus open surgery in the treatment of adult spinal deformity: analysis of a prospective, nonrandomized multicenter study.

ALIF = anterior lumbar interbody fusion ASD = adult spinal deformity CC = coronal curve LL = lumbar lordosis LLIF = lateral lumbar interbody fusion MIS = minimally invasive spinal NRS = numerical rating scale ODI = Oswestry Disability Index OLIF = oblique lumbar interbody fusion OR = odds ratio PI = pelvic incidence PT = pelvic tilt SRS-22 = Scoliosis Research Society 22-item questionnaire SVA = sagittal vertical axis TK = thoracic kyphosis TLIF = transforaminal lumbar interbody fusion TPA = T1 pelvic angle adult spinal deformity interbody fusion minimally invasive surgery spinal surgery surgical approach

Journal

Journal of neurosurgery. Spine
ISSN: 1547-5646
Titre abrégé: J Neurosurg Spine
Pays: United States
ID NLM: 101223545

Informations de publication

Date de publication:
19 Jun 2020
Historique:
received: 07 02 2020
accepted: 16 04 2020
entrez: 20 6 2020
pubmed: 20 6 2020
medline: 20 6 2020
Statut: aheadofprint

Résumé

Surgical decision-making and planning is a key factor in optimizing outcomes in adult spinal deformity (ASD). Minimally invasive spinal (MIS) strategies for ASD have been increasingly used as an option to decrease postoperative morbidity. This study analyzes factors involved in the selection of either a traditional open approach or a minimally invasive approach to treat ASD in a prospective, nonrandomized multicenter trial. All centers had at least 5 years of experience in minimally invasive techniques for ASD. The study enrolled 268 patients, of whom 120 underwent open surgery and 148 underwent MIS surgery. Inclusion criteria included age ≥ 18 years, and at least one of the following criteria: coronal curve (CC) ≥ 20°, sagittal vertical axis (SVA) > 5 cm, pelvic tilt (PT) > 25°, or thoracic kyphosis (TK) > 60°. Surgical approach selection was made at the discretion of the operating surgeon. Preoperative significant differences were included in a multivariate logistic regression analysis to determine odds ratios (ORs) for approach selection. Significant preoperative differences (p < 0.05) between open and MIS groups were noted for age (61.9 vs 66.7 years), numerical rating scale (NRS) back pain score (7.8 vs 7), CC (36° vs 26.1°), PT (26.4° vs 23°), T1 pelvic angle (TPA; 25.8° vs 21.7°), and pelvic incidence-lumbar lordosis (PI-LL; 19.6° vs 14.9°). No significant differences in BMI (29 vs 28.5 kg/m2), NRS leg pain score (5.2 vs 5.7), Oswestry Disability Index (48.4 vs 47.2), Scoliosis Research Society 22-item questionnaire score (2.7 vs 2.8), PI (58.3° vs 57.1°), LL (38.9° vs 42.3°), or SVA (73.8 mm vs 60.3 mm) were found. Multivariate analysis found that age (OR 1.05, p = 0.002), VAS back pain score (OR 1.21, p = 0.016), CC (OR 1.03, p < 0.001), decompression (OR 4.35, p < 0.001), and TPA (OR 1.09, p = 0.023) were significant factors in approach selection. Increasing age was the primary driver for selecting MIS surgery. Conversely, increasingly severe deformities and the need for open decompression were the main factors influencing the selection of traditional open surgery. As experience with MIS surgery continues to accumulate, future longitudinal evaluation will reveal if more experience, use of specialized treatment algorithms, refinement of techniques, and technology will expand surgeon adoption of MIS techniques for adult spinal deformity.

Identifiants

pubmed: 32559745
doi: 10.3171/2020.4.SPINE20169
pii: 2020.4.SPINE20169
doi:
pii:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-6

Auteurs

Paul Park (P)

1Department of Neurosurgery, University of Michigan, Ann Arbor, Michigan.

Khoi D Than (KD)

2Department of Neurological Surgery, Oregon Health & Science University, Portland, Oregon.

Praveen V Mummaneni (PV)

3Department of Neurosurgery, University of California, San Francisco, California.

Pierce D Nunley (PD)

4Spine Institute of Louisiana, Shreveport, Louisiana.

Robert K Eastlack (RK)

5Department of Orthopaedic Surgery, Scripps Clinic, La Jolla, California.

Juan S Uribe (JS)

6Department of Neurosurgery, Barrow Neurological Institute, Phoenix, Arizona.

Michael Y Wang (MY)

7Department of Neurosurgery, University of Miami, Florida.

Vivian Le (V)

3Department of Neurosurgery, University of California, San Francisco, California.

Richard G Fessler (RG)

8Department of Neurological Surgery, Rush University Medical Center, Chicago, Illinois.

David O Okonkwo (DO)

9Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.

Adam S Kanter (AS)

9Department of Neurosurgery, University of Pittsburgh Medical Center, Pittsburgh, Pennsylvania.

Neel Anand (N)

10Department of Orthopaedics, Cedars-Sinai Medical Center, Los Angeles, California.

Dean Chou (D)

3Department of Neurosurgery, University of California, San Francisco, California.

Kai-Ming G Fu (KG)

11Department of Neurosurgery, Cornell Medical Center, New York, New York.

Alexander F Haddad (AF)

12School of Medicine, University of California, San Francisco, California; and.

Christopher I Shaffrey (CI)

13Departments of Orthopaedic Surgery and Neurosurgery, Duke University, Durham, North Carolina.

Gregory M Mundis (GM)

5Department of Orthopaedic Surgery, Scripps Clinic, La Jolla, California.

Classifications MeSH