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Onafowokan OO, Imbo B, Williamson T, Das A, Mir JM, Galetta M, Lorentz N, Passias PG. Is It Possible for Patients with Early Distal Junctional Kyphosis following Adult Cervical Deformity Corrective Surgery to Achieve Similar Outcomes to Their Unaffected Counterparts? An Analysis of Recovery Kinetics. J Clin Med 2024; 13:3246. [PMID: 38892957 PMCID: PMC11172948 DOI: 10.3390/jcm13113246] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/07/2024] [Revised: 05/05/2024] [Accepted: 05/29/2024] [Indexed: 06/21/2024] Open
Abstract
Background: Distal junctional kyphosis (DJK) is a concerning complication for surgeons performing cervical deformity (CD) surgery. Patients sustaining such complications may demonstrate worse recovery profiles compared to their unaffected peers. Methods: DJK was defined as a >10° change in kyphosis between LIV and LIV-2, and a >10° index angle. CD patients were grouped according to the development of DJK by 3M vs. no DJK development. Means comparison tests and regression analyses used to analyze differences between groups and arelevant associations. Results: A total of 113 patients were included (17 DJK, 96 non-DJK). DJK patients were more sagittally malaligned preop, and underwent more osteotomies and combined approaches. Postop, DJK patients experienced more dysphagia (17.7% vs. 4.2%; p = 0.034). DJK patients remained more malaligned in cSVA through the 2-year follow-up. DJK patients exhibited worse patient-reported outcomes from 3M to 1Y, but these differences subsided when following patients through to 2Y; they also exhibited worse NDI (65.3 vs. 35.3) and EQ5D (0.68 vs. 0.79) scores at 1Y (both p < 0.05), but these differences had subsided by 2Y. Conclusions: Despite patients exhibiting similar preoperative health-related quality of life metrics, patients who developed early DJK exhibited worse postoperative neck disability following the development of their DJK. These differences subsided by the 2-year follow-up, highlighting the prolonged but eventually successful course of many DJK patients after CD surgery.
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Affiliation(s)
- Oluwatobi O. Onafowokan
- Division of Spinal Surgery, Departments of Orthopaedic and Neurosurgery, NYU Langone Medical Center, NY Spine Institute, New York, NY 10003, USA
| | - Bailey Imbo
- Division of Spinal Surgery, Departments of Orthopaedic and Neurosurgery, NYU Langone Medical Center, NY Spine Institute, New York, NY 10003, USA
| | - Tyler Williamson
- Department of Orthopaedic Surgery, University of Texas Health San Antonio, San Antonio, TX 78229, USA
| | - Ankita Das
- Division of Spinal Surgery, Departments of Orthopaedic and Neurosurgery, NYU Langone Medical Center, NY Spine Institute, New York, NY 10003, USA
| | - Jamshaid M. Mir
- Division of Spinal Surgery, Departments of Orthopaedic and Neurosurgery, NYU Langone Medical Center, NY Spine Institute, New York, NY 10003, USA
| | - Matthew Galetta
- Division of Spinal Surgery, Departments of Orthopaedic and Neurosurgery, NYU Langone Medical Center, NY Spine Institute, New York, NY 10003, USA
| | - Nathan Lorentz
- Division of Spinal Surgery, Departments of Orthopaedic and Neurosurgery, NYU Langone Medical Center, NY Spine Institute, New York, NY 10003, USA
| | - Peter G. Passias
- Division of Spinal Surgery, Departments of Orthopaedic and Neurosurgery, NYU Langone Medical Center, NY Spine Institute, New York, NY 10003, USA
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Lee JK, Hyun SJ, Kim KJ. Optimizing Surgical Strategy for Cervical Spinal Deformity: Global Alignment and Surgical Targets. Neurospine 2023; 20:1246-1255. [PMID: 38171292 PMCID: PMC10762390 DOI: 10.14245/ns.2346744.372] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 09/26/2023] [Accepted: 09/27/2023] [Indexed: 01/05/2024] Open
Abstract
Cervical spinal deformity (CSD) is a complex condition characterized by abnormal curvature and cervical spine alignment. It can lead to a multitude of symptoms, including chronic pain, neurological deficits, and functional impairments, severely impacting an individual's health-related quality of life (HRQoL). Surgical intervention is often necessary to address the deformity and alleviate symptoms, but optimal surgical strategies remain a topic of ongoing research and debate. This narrative review aims to provide an in-depth overview of the surgical management of CSD, focusing on optimizing patient outcomes and enhancing readers' understanding of the complexities involved. We begin by discussing the importance of preoperative assessment, including comprehensive radiographic evaluation and careful consideration of the global spinal alignment. The relationship between the cervical spine and the reciprocal changes that occur are explored to guide surgeons in their decision-making process. Furthermore, we delve into the selection of fusion levels, emphasizing the significance of identifying the primary driver of deformity. We review the current literature on optimal alignment targets and strategies to optimize surgical planning. By providing a comprehensive analysis of the surgical management of CSD, this review aims to enhance the readers' knowledge and assist surgeons in making informed decisions when planning and executing surgical interventions. Understanding the intricacies of CSD correction and the latest advancements in the field can ultimately improve patient outcomes and enhance HRQoL for individuals suffering from this challenging condition.
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Affiliation(s)
- Jae-Koo Lee
- Department of Neurosurgery, Spine Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Seung-Jae Hyun
- Department of Neurosurgery, Spine Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
| | - Ki-Jeong Kim
- Department of Neurosurgery, Spine Center, Seoul National University Bundang Hospital, Seoul National University College of Medicine, Seongnam, Korea
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Lafage R, Smith JS, Soroceanu A, Ames C, Passias P, Shaffrey C, Mundis G, Alshabab BS, Protopsaltis T, Klineberg E, Elysee J, Kim HJ, Bess S, Schwab F, Lafage V. Predicting Mechanical Failure Following Cervical Deformity Surgery: A Composite Score Integrating Age-Adjusted Cervical Alignment Targets. Global Spine J 2023; 13:2432-2438. [PMID: 35350922 PMCID: PMC10538337 DOI: 10.1177/21925682221086535] [Citation(s) in RCA: 3] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/15/2022] Open
Abstract
STUDY DESIGN Retrospective cohort study. OBJECTIVES Investigate a composite score to evaluate the relationship between alignment proportionality and risk of distal junctional kyphosis (DJK). METHODS 84 patients with minimum 1 year follow-up were included (age = 61.1 ± 10.3 years, 64.3% women). The Cervical Score was constructed using offsets from age-adjusted normative values for sagittal vertical axis (SVA), T1 Slope (TS), and TS minus cervical lordosis (CL). Individual points were assigned based on offset with age-adjusted alignment targets and summed to generate the Cervical Score. Rates of mechanical failure (DJK revision or severe DJK [DJK> 20° and ΔDJK> 10°]) were assessed overall and based on Cervical Score. Logistical regressions assessed associations between early radiographic alignment and 1-year failure rate. RESULTS Mechanical failure rate was 21.4% (N = 18), 10.7% requiring revision. By multivariate logistical regression: 3-month T1S (OR: .935), TS-CL (OR:0.882), and SVA (OR:1.015) were independent predictors of 1-year failure (all P < .05). Cervical Score ranged (-6 to 6), 37.8% of patients between -1 and 1, and 50.0% with 2 or higher. DJK patients had significantly higher Cervical Score (4.1 ± 1.3 vs .6 ± 2.2, P < .001). Patients with a score ≥3 were significantly more likely to develop a failure (71.4%) with OR of 38.55 (95%CI [7.73; 192.26]) and Nagelkerke r2 .524 (P < .001). CONCLUSION This study developed a composite alignment score predictive of mechanical failures in CD surgery. A score ≥3 at 3 months following surgery was associated with a marked increase in failure rate. The Cervical Score can be used to analyze sagittal alignment and help define realignment objectives to reduce mechanical failure.
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Affiliation(s)
- Renaud Lafage
- Department of Orthopedics, Hospital for Special Surgery, New York, NY, USA
| | - Justin S Smith
- Department of Neurosurgery, University of Virginia Medical Center, Charlottesville, VA, USA
| | | | - Christopher Ames
- Department of Neurological Surgery, University of California, San Francisco, School of Medicine, San Francisco, CA, USA
| | - Peter Passias
- Department of Orthopedics, NYU Langone Orthopedic Hospital, New York, NY, USA
| | | | | | - Basel Sheikh Alshabab
- Department of Orthopaedic Surgery, Northwell Health, Lenox Hill Hospital, New York, NY, USA
| | | | - Eric Klineberg
- Department of Orthopaedic Surgery, University of California, Davis, CA, USA
| | - Jonathan Elysee
- Department of Orthopedics, Hospital for Special Surgery, New York, NY, USA
| | - Han Jo Kim
- Department of Orthopedics, Hospital for Special Surgery, New York, NY, USA
| | - Shay Bess
- Denver International Spine Center, Presbyterian St. Luke’s/Rocky Mountain Hospital for Children, Denver, CO, USA
| | - Frank Schwab
- Department of Orthopaedic Surgery, Northwell Health, Lenox Hill Hospital, New York, NY, USA
| | - Virginie Lafage
- Department of Orthopaedic Surgery, Northwell Health, Lenox Hill Hospital, New York, NY, USA
| | - On behalf of the International Spine Study Group (ISSG)
- Department of Orthopedics, Hospital for Special Surgery, New York, NY, USA
- Department of Neurosurgery, University of Virginia Medical Center, Charlottesville, VA, USA
- Department of Surgery, University of Calgary, Calgary, AB, Canada
- Department of Neurological Surgery, University of California, San Francisco, School of Medicine, San Francisco, CA, USA
- Department of Orthopedics, NYU Langone Orthopedic Hospital, New York, NY, USA
- Department of Neurosurgery, Duke University Medical Center, Durham, NC, USA
- Scripps Clinic, San Diego, CA, USA
- Department of Orthopaedic Surgery, Northwell Health, Lenox Hill Hospital, New York, NY, USA
- Department of Orthopaedic Surgery, University of California, Davis, CA, USA
- Denver International Spine Center, Presbyterian St. Luke’s/Rocky Mountain Hospital for Children, Denver, CO, USA
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4
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Kaidi AC, Kim HJ. Reply to Commentary on “Classification(s) of Cervical Deformity”. Neurospine 2023; 20:408-409. [PMID: 37016890 PMCID: PMC10080427 DOI: 10.14245/ns.2346112.056] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2023] [Accepted: 02/03/2023] [Indexed: 04/03/2023] Open
Affiliation(s)
- Austin C. Kaidi
- Department of Spine Surgery, Hospital for Special Surgery, New York, NY, USA
| | - Han Jo Kim
- Department of Spine Surgery, Hospital for Special Surgery, New York, NY, USA
- Corresponding Author Han Jo Kim Department of Spine Surgery, Hospital for Special Surgery, 535 East 70th St., New York, NY 10021, USA
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5
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Merrill RK, Clohisy JC, Albert TJ, Qureshi SA. Concepts and Techniques to Prevent Cervical Spine Deformity After Spine Surgery: A Narrative Review. Neurospine 2023; 20:221-230. [PMID: 37016868 PMCID: PMC10080418 DOI: 10.14245/ns.2244780.390] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/12/2022] [Accepted: 12/22/2022] [Indexed: 04/03/2023] Open
Abstract
Adult cervical spine deformity is associated with decreased health-related quality of life, disability, and myelopathy. A number of radiographic parameters help to characterize cervical deformity and aid in the diagnosis and treatment. There are several etiologies for cervical spine deformity, the most common being iatrogenic. Additionally, spine surgery can accelerate adjacent segment degeneration which may lead to deformity. It is therefore important for all spine surgeons to be aware of the potential to cause iatrogenic cervical deformity. The aim of this review is to highlight concepts and techniques to prevent cervical deformity after spine surgery.
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Affiliation(s)
- Robert K. Merrill
- Department of Orthopedic Surgery, Hospital for Special Surgery, New York, NY, USA
| | - John C. Clohisy
- Department of Orthopedic Surgery, Hospital for Special Surgery, New York, NY, USA
| | - Todd J. Albert
- Department of Orthopedic Surgery, Hospital for Special Surgery, New York, NY, USA
| | - Sheeraz A. Qureshi
- Department of Orthopedic Surgery, Hospital for Special Surgery, New York, NY, USA
- Corresponding Author Sheeraz A. Qureshi Department of Orthopedic Surgery, Minimally Invasive Spine Surgery, Hospital for Special Surgery, 535 East 70th Street, 4th Floor, New York, NY 10021, USA
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6
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Kaidi AC, Kim HJ. Classification(s) of Cervical Deformity. Neurospine 2022; 19:862-867. [PMID: 36597621 PMCID: PMC9816582 DOI: 10.14245/ns.2245864.392] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Accepted: 11/09/2022] [Indexed: 12/27/2022] Open
Abstract
Cervical spine deformities (CSD) are complex surgical issues with currently heterogenous management strategies. The classification of CSD is still an evolving field. Rudimentary classification schemas were initially proposed in the late 20th century but were largely informal and based on the underlying etiology (i.e. , postsurgical, traumatic, or inflammatory). The first formal classification schema was proposed by Ames et al. in 2015 who established a standard nomenclature for describing these deformities. This classification system established 5 deformity descriptors based on curve apex location (cervical, cervicothoracic, thoracic, craniovertebral junctional, and coronal deformities) and 5 deformity modifiers which helped surgeons utilize a standard language when discussing CSD patients. Koller et al. in 2019 subsequently established a classification system for patients with rigid cervical kyphosis based on regional and global sagittal alignment. Most recently, Kim et al. in 2020 proposed an updated classification system utilizing dynamic cervical spine imaging to guide surgical treatment of CSD patients. It identified 4 major groups of deformities - (1) those with "flat-neck" deformities caused by cervical lordosis T1 slope mismatch; (2) those with focal kyphotic deformities between 2 cervical vertebrae; (3) those with cervicothoracic deformities caused by large T1 slope; and (4) those with coronal deformities. Group 2 deformities most often required combined anterior-posterior approaches with short constructs, and group 3 deformities most often required posterior-only approaches with 3-column osteotomies.
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Affiliation(s)
- Austin C. Kaidi
- Department of Spine Surgery, Hospital for Special Surgery, New York, NY, USA
| | - Han Jo Kim
- Department of Spine Surgery, Hospital for Special Surgery, New York, NY, USA,Corresponding Author Han Jo Kim Department of Spine Surgery, Hospital for Special Surgery, 541 East 71st St., New York, NY 10021, USA
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7
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Louie PK, Sheikh Alshabab B, McCarthy MH, Virk S, Dowdell JE, Steinhaus ME, Lovecchio F, Samuel AM, Morse KW, Schwab FJ, Albert TJ, Qureshi SA, Iyer S, Katsuura Y, Huang RC, Cunningham ME, Yao YC, Weissmann K, Lafage R, Lafage V, Kim HJ. Classification system for cervical spine deformity morphology: a validation study. J Neurosurg Spine 2022; 37:865-873. [PMID: 35901688 DOI: 10.3171/2022.5.spine211537] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/10/2021] [Accepted: 05/16/2022] [Indexed: 11/06/2022]
Abstract
OBJECTIVE The objective of this study was to initially validate a recent morphological classification of cervical spine deformity pathology. METHODS The records of 10 patients for each of the 3 classification subgroups (flat neck, focal deformity, and cervicothoracic), as well as for 8 patients with coronal deformity only, were extracted from a prospective multicenter database of patients with cervical deformity (CD). A panel of 15 physicians of various training and professional levels (i.e., residents, fellows, and surgeons) categorized each patient into one of the 4 groups. The Fleiss kappa coefficient was utilized to evaluate intra- and interrater reliability. Accuracy, defined as properly selecting the main driver of deformity, was reported overall, by morphotype, and by reviewer experience. RESULTS The overall classification demonstrated a moderate to substantial agreement (round 1: interrater Fleiss kappa = 0.563, 95% CI 0.559-0.568; round 2: interrater Fleiss kappa = 0.612, 95% CI 0.606-0.619). Stratification by level of training demonstrated similar mean interrater coefficients (residents 0.547, fellows 0.600, surgeons 0.524). The mean intrarater score was 0.686 (range 0.531-0.823). A substantial agreement between rounds 1 and 2 was demonstrated in 81.8% of the raters, with a kappa score > 0.61. Stratification by level of training demonstrated similar mean intrarater coefficients (residents 0.715, fellows 0.640, surgeons 0.682). Of 570 possible questions, reviewers provided 419 correct answers (73.5%). When considering the true answer as being selected by at least one of the two main drivers of deformity, the overall accuracy increased to 86.0%. CONCLUSIONS This initial validation of a CD morphological classification system reiterates the importance of dynamic plain radiographs for the evaluation of patients with CD. The overall reliability of this CD morphological classification has been demonstrated. The overall accuracy of the classification system was not impacted by rater experience, demonstrating its simplicity.
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Affiliation(s)
- Philip K Louie
- 1Department of Orthopaedic Surgery, Hospital for Special Surgery, New York, New York.,2Department of Neurosurgery, Center for Neurosciences and Spine, Virginia Mason Franciscan Health, Seattle, Washington
| | - Basel Sheikh Alshabab
- 1Department of Orthopaedic Surgery, Hospital for Special Surgery, New York, New York
| | - Michael H McCarthy
- 1Department of Orthopaedic Surgery, Hospital for Special Surgery, New York, New York.,3Department of Orthopaedic Surgery, Indiana Spine Group, University of Indiana, Carmel, Indiana
| | - Sohrab Virk
- 1Department of Orthopaedic Surgery, Hospital for Special Surgery, New York, New York.,4Department of Orthopaedic Surgery, Northwell Health, New Hyde Park, New York
| | - James E Dowdell
- 1Department of Orthopaedic Surgery, Hospital for Special Surgery, New York, New York
| | - Michael E Steinhaus
- 1Department of Orthopaedic Surgery, Hospital for Special Surgery, New York, New York.,5Spine Institute, MountainStar Healthcare, Murray, Utah
| | - Francis Lovecchio
- 1Department of Orthopaedic Surgery, Hospital for Special Surgery, New York, New York
| | - Andre M Samuel
- 1Department of Orthopaedic Surgery, Hospital for Special Surgery, New York, New York
| | - Kyle W Morse
- 1Department of Orthopaedic Surgery, Hospital for Special Surgery, New York, New York
| | - Frank J Schwab
- 1Department of Orthopaedic Surgery, Hospital for Special Surgery, New York, New York.,4Department of Orthopaedic Surgery, Northwell Health, New Hyde Park, New York
| | - Todd J Albert
- 1Department of Orthopaedic Surgery, Hospital for Special Surgery, New York, New York
| | - Sheeraz A Qureshi
- 1Department of Orthopaedic Surgery, Hospital for Special Surgery, New York, New York
| | - Sravisht Iyer
- 1Department of Orthopaedic Surgery, Hospital for Special Surgery, New York, New York
| | - Yoshihiro Katsuura
- 1Department of Orthopaedic Surgery, Hospital for Special Surgery, New York, New York.,6Department of Orthopedics, Adventist Health, Willits, California
| | - Russel C Huang
- 1Department of Orthopaedic Surgery, Hospital for Special Surgery, New York, New York
| | - Matthew E Cunningham
- 1Department of Orthopaedic Surgery, Hospital for Special Surgery, New York, New York
| | - Yu-Cheng Yao
- 1Department of Orthopaedic Surgery, Hospital for Special Surgery, New York, New York.,7Department of Orthopedics, Taipei Veterans General Hospital, Taipei, Taiwan; and
| | - Karen Weissmann
- 1Department of Orthopaedic Surgery, Hospital for Special Surgery, New York, New York.,8Department of Orthopedics and Traumatology, University of Chile, Santiago, Chile
| | - Renaud Lafage
- 1Department of Orthopaedic Surgery, Hospital for Special Surgery, New York, New York.,4Department of Orthopaedic Surgery, Northwell Health, New Hyde Park, New York
| | - Virginie Lafage
- 1Department of Orthopaedic Surgery, Hospital for Special Surgery, New York, New York.,4Department of Orthopaedic Surgery, Northwell Health, New Hyde Park, New York
| | - Han Jo Kim
- 1Department of Orthopaedic Surgery, Hospital for Special Surgery, New York, New York
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8
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Lafage R, Smith JS, Fong AM, Sheikh Alshabab B, Protopsaltis T, Klineberg EO, Mundis G, Passias PG, Gupta M, Shaffrey CI, Kim HJ, Bess S, Schwab F, Ames CP, Lafage V. Proximal and distal reciprocal changes following cervical deformity malalignment correction. J Neurosurg Spine 2022; 37:599-606. [PMID: 35523249 DOI: 10.3171/2022.2.spine211316] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2021] [Accepted: 02/22/2022] [Indexed: 11/06/2022]
Abstract
OBJECTIVE Hyperextension of C0-2 is a debilitating compensatory mechanism used to maintain horizontal gaze, analogous to high pelvic tilt in the lumbopelvic complex to maintain an upright posture. This study aims to investigate the impact of cervical deformity (CD) correction on this hyperextension. The authors hypothesize that correction of cervical sagittal malalignment allows for relaxation of C0-2 hyperextension and improved clinical outcomes. METHODS A retrospective review was conducted of a multicenter database of patients with CD undergoing spinal realignment and fusion caudal to C2 and cephalad to the pelvis. Range of motion (ROM) and reserve of extension (ROE) were calculated across C2-7 and C0-2. The association between C2-7 correction and change in C0-2 ROE was investigated while controlling for horizontal gaze, followed by stratification into ΔC2-7 percentiles. RESULTS Sixty-five patients were included (mean age 61.8 ± 9.6 years, 68% female). At baseline, patients had cervical kyphosis (C2-7, -11.7° ± 18.2°; T1 slope-cervical lordosis mismatch, 38.6° ± 18.6°), negative global alignment (sagittal vertical axis [SVA] -12.8 ± 71.2 mm), and hyperlordosis at C0-2 (mean 33.2° ± 11.8°). The mean ROM was 25.7° ± 17.7° and 21.3° ± 9.9° at C2-7 and C0-2, respectively, with an ROE of approximately 9° for each segment. Limited C0-2 ROM and ROE correlated with the Neck Disability Index (r = -0.371 and -0.394, p < 0.01). The mean number of levels fused was 7.0 ± 3.1 (24.6% anterior, 43.1% posterior), with 87.7% undergoing at least an osteotomy. At 1 year, mean C2-7 increased to 5.5° ± 13.4°, SVA became neutral (11.5 ± 54.8 mm), C0-2 hyperlordosis decreased to 27.8° ± 11.7°, and thoracic kyphosis (TK) increased to -49.4° ± 18.1° (all p < 0.001). Concurrently, mean C0-2 ROM increased to 27.6° ± 8.1° and C2-7 ROM decreased significantly to 9.0° ± 12.3° without a change in ROE. Controlling for horizontal gaze, change in C2-7 lordosis significantly correlated with increased TK (r = -0.617, p < 0.001), decreased C0-2 (r = -0.747, p < 0.001), and increased C0-2 ROE (r = 0.550, p = 0.002). CONCLUSIONS CD correction can significantly impact cephalad and caudal compensation in the upper cervical and thoracic spine. Restoration of cervical alignment resulted in increased C0-2 ROE and TK and was also associated with improved clinical outcome.
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Affiliation(s)
- Renaud Lafage
- 1Department of Orthopedics, Hospital for Special Surgery, New York, New York
| | - Justin S Smith
- 2Department of Neurosurgery, University of Virginia Medical Center, Charlottesville, Virginia
| | - Alex Moy Fong
- 1Department of Orthopedics, Hospital for Special Surgery, New York, New York
| | - Basel Sheikh Alshabab
- 3Department of Orthopaedic Surgery, Northwell Health, Lenox Hill Hospital, New York, New York
| | | | - Eric O Klineberg
- 5Department of Orthopaedic Surgery, University of California, Davis, Sacramento, California
| | | | - Peter G Passias
- 4Department of Orthopedics, NYU Langone Orthopedic Hospital, New York, New York
| | - Munish Gupta
- 7Department of Orthopaedics, Washington University, St. Louis, Missouri
| | | | - Han Jo Kim
- 1Department of Orthopedics, Hospital for Special Surgery, New York, New York
| | - Shay Bess
- 9Denver International Spine Center, Presbyterian St. Luke's/Rocky Mountain Hospital for Children, Denver, Colorado; and
| | - Frank Schwab
- 3Department of Orthopaedic Surgery, Northwell Health, Lenox Hill Hospital, New York, New York
| | - Christopher P Ames
- 10Department of Neurological Surgery, University of California, San Francisco, School of Medicine, San Francisco, California
| | - Virginie Lafage
- 3Department of Orthopaedic Surgery, Northwell Health, Lenox Hill Hospital, New York, New York
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9
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Kim HJ, Virk S, Elysee J, Ames C, Passias P, Shaffrey C, Mundis G, Protopsaltis T, Gupta M, Klineberg E, Hart R, Smith JS, Bess S, Schwab F, Lafage R, Lafage V. Surgical Strategy for the Management of Cervical Deformity Is Based on Type of Cervical Deformity. J Clin Med 2021; 10:jcm10214826. [PMID: 34768346 PMCID: PMC8584313 DOI: 10.3390/jcm10214826] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 10/11/2021] [Accepted: 10/11/2021] [Indexed: 11/18/2022] Open
Abstract
Objectives: Cervical deformity morphotypes based on type and location of deformity have previously been described. This study aimed to examine the surgical strategies implemented to treat these deformity types and identify if differences in treatment strategies impact surgical outcomes. Our hypothesis was that surgical strategies will differ based on different morphologies of cervical deformity. Methods: Adult patients enrolled in a prospective cervical deformity database were classified into four deformity types (Flatneck (FN), Focal kyphosis (FK), Cervicothoracic kyphosis (CTK) and Coronal (C)), as previously described. We analyzed group differences in demographics, preoperative symptoms, health-related quality of life scores (HRQOLs), and surgical strategies were evaluated, and postop radiographic and HROQLs at 1+ year follow up were compared. Results: 90/109 eligible patients (mean age 63.3 ± 9.2, 64% female, CCI 1.01 ± 1.36) were evaluated. Group distributions included FN = 33%, FK = 29%, CTK = 29%, and C = 9%. Significant differences were noted in the surgical approaches for the four types of deformities, with FN and FK having a high number of anterior/posterior (APSF) approaches, while CTK and C had more posterior only (PSF) approaches. For FN and FK, PSF was utilized more in cases with prior anterior surgery (70% vs. 25%). For FN group, PSF resulted in inferior neck disability index compared to those receiving APSF suggesting APSF is superior for FN types. CTK types had more three-column osteotomies (3CO) (p < 0.01) and longer fusions with the LIV below T7 (p < 0.01). There were no differences in the UIV between all deformity types (p = 0.19). All four types of deformities had significant improvement in NRS neck pain post-op (p < 0.05) with their respective surgical strategies. Conclusions: The four types of cervical deformities had different surgical strategies to achieve improvements in HRQOLs. FN and FK types were more often treated with APSF surgery, while types CTK and C were more likely to undergo PSF. CTK deformities had the highest number of 3COs. This information may provide guidelines for the successful management of cervical deformities.
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Affiliation(s)
- Han Jo Kim
- Department of Orthopedics, Hospital for Special Surgery, New York, NY 10021, USA; (J.E.); (F.S.); (R.L.); (V.L.)
- Correspondence:
| | - Sohrab Virk
- Department of Orthopedics, Northwell Health, Great Neck, New York, NY 11021, USA;
| | - Jonathan Elysee
- Department of Orthopedics, Hospital for Special Surgery, New York, NY 10021, USA; (J.E.); (F.S.); (R.L.); (V.L.)
| | - Christopher Ames
- Department of Neurosurgery, University of San Francisco School of Medicine, San Francisco, CA 94143, USA;
| | - Peter Passias
- Department of Orthopedics, NYU Langone Orthopedic Hospital, New York, NY 10016, USA; (P.P.); (T.P.)
| | - Christopher Shaffrey
- Department of Neurosurgery, Duke University Medical Center, Durham, NC 27708, USA;
| | - Gregory Mundis
- Division of Orthopaedic Surgery, Scripps Clinic Medical Group, La Jolla, CA 92037, USA;
| | | | - Munish Gupta
- Department of Orthopaedic Surgery, Washington University, St. Louis, MO 63010, USA;
| | - Eric Klineberg
- Department of Orthopedic Surgery, University of California Davis, Davis, CA 95616, USA;
| | - Robert Hart
- Department of Orthopaedic Surgery, Oregon Health & Science University, Portland, OR 97239, USA;
| | - Justin S. Smith
- Department of Neurosurgery, University of Virginia Medical Center, Charlottesville, VA 22904, USA;
| | - Shay Bess
- Denver International Spine Center, Rocky Mountain Hospital for Children at Presbyterian St. Luke’s, Denver, CO 80218, USA;
| | - Frank Schwab
- Department of Orthopedics, Hospital for Special Surgery, New York, NY 10021, USA; (J.E.); (F.S.); (R.L.); (V.L.)
| | - Renaud Lafage
- Department of Orthopedics, Hospital for Special Surgery, New York, NY 10021, USA; (J.E.); (F.S.); (R.L.); (V.L.)
| | - Virginie Lafage
- Department of Orthopedics, Hospital for Special Surgery, New York, NY 10021, USA; (J.E.); (F.S.); (R.L.); (V.L.)
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10
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Joshi RS, Lau D, Ames CP. Artificial intelligence for adult spinal deformity: current state and future directions. Spine J 2021; 21:1626-1634. [PMID: 33971322 DOI: 10.1016/j.spinee.2021.04.019] [Citation(s) in RCA: 14] [Impact Index Per Article: 4.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 04/07/2021] [Accepted: 04/27/2021] [Indexed: 02/03/2023]
Abstract
As we experience a technological revolution unlike any other time in history, spinal surgery as a discipline is poised to undergo a dramatic transformation. As enormous amounts of data become digitized and more readily available, medical professionals approach a critical juncture with respect to how advanced computational techniques may be incorporated into clinical practices. Within neurosurgery, spinal disorders in particular, represent a complex and heterogeneous disease entity that can vary dramatically in its clinical presentation and how it may impact patients' lives. The spectrum of pathologies is extremely diverse, including many different etiologies such as trauma, oncology, spinal deformity, infection, inflammatory conditions, and degenerative disease among others. The decision to perform spine surgery, especially complex spine surgery, involves several nuances due to the interplay of biomechanical forces, bony composition, neurologic deficits, and the patient's desired goals. Adult spinal deformity as an example is one of the most complex, given its involvement of not only the spine, but rather the entirety of the skeleton in order to appreciate radiographic completeness. With the vast array of variables contributing to spinal disorders, treatment algorithms can vary significantly, and it is very difficult for surgeons to predict how patients will respond to surgery. As such, it will become imperative for spine surgeons to utilize the burgeoning availability of advanced computational tools to process unprecedented amounts of data and provide novel insights into spinal disease. These tools range from predictive models built using machine learning algorithms, to deep learning methods for imaging analysis, to natural language processing that can mine text from electronic medical records or transcribed patient visits - all to better treat the intricacies of spinal disorders. The adoption of such techniques will empower patients and propel spine surgeons into the era of personalized medicine, by allowing clinical plans to be tailored to address individual patients' needs. This paper, which exists in the context of a larger body of literatutre, provides a comprehensive review of the current state and future of artificial intelligence and machine learning with a particular emphasis on Adult spinal deformity surgery.
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Affiliation(s)
- Rushikesh S Joshi
- Department of Neurological Surgery, University of California San Diego, La Jolla, CA, USA.
| | - Darryl Lau
- Department of Neurosurgery, New York University, New York, NY, USA
| | - Christopher P Ames
- Department of Neurological Surgery, University of California San Francisco, San Francisco, CA, USA
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11
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Sivaganesan A, Smith JS, Kim HJ. Cervical Deformity: Evaluation, Classification, and Surgical Planning. Neurospine 2020; 17:833-842. [PMID: 33401860 PMCID: PMC7788408 DOI: 10.14245/ns.2040524.262] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2020] [Accepted: 10/13/2020] [Indexed: 11/21/2022] Open
Abstract
Cervical deformity is a challenging condition to treat and requires complex decision-making. Apart from a thorough history and physical examination, a thoughtful and quantitative analysis of multiple imaging modalities is critical for understanding the nature and driver of the cervical deformity. A few classification schemes have emerged, and it is now clear that dynamic films are invaluable as they capture the extension reserve that patients can use to compensate for malalignment. These classification systems can help guide surgical planning, because the various subgroups have different properties that lend themselves to specific treatment paradigms. Here we review the clinical and radiographic evaluation, classification, and surgical planning for cervical deformity.
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Affiliation(s)
| | - Justin S Smith
- Department of Neurological Surgery, University of Virginia, Charlottesville, VA, USA
| | - Han Jo Kim
- Hospital for Special Surgery, New York, NY, USA
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