Literature DB >> 26208229

The Influence of Age and Sex on Cervical Spinal Alignment Among Volunteers Aged Over 50.

Shin Oe1, Daisuke Togawa, Keiichi Nakai, Tomohiro Yamada, Hideyuki Arima, Tomohiro Banno, Tatsuya Yasuda, Sho Kobayasi, Yu Yamato, Tomohiko Hasegawa, Go Yoshida, Yukihiro Matsuyama.   

Abstract

STUDY
DESIGN: Large cohort study of volunteers aged over 50.
OBJECTIVE: To investigate influence of age and sex on cervical sagittal alignment among volunteers aged over 50. SUMMARY OF BACKGROUND DATA: Few large-scale studies have described normative values in cervical spine alignment regarding age and sex among volunteers aged over 50.
METHODS: The study cohort included 656 volunteers aged 50 to 89 years. Pelvic tilt, sacral slope, pelvic incidence, lumbar lordosis, pelvic incidence-lumbar lordosis, thoracic kyphosis, T1 slope (T1S), cervical lordosis (CL), C7 sagittal vertical axis (C7 SVA), C2-C7 SVA, and T1S-CL were measured using whole spine and pelvic radiographs taken in the standing position. Health-related quality of life was assessed using the EuroQOL (EQ-5D) standardized instrument for measurement of health outcome and Oswestry Disability Index.
RESULTS: There were 36 subjects aged 50 to 59 years, 174 aged 60 to 69 years, 311 aged 70 to 79 years, and 135 aged 80 to 89 years. Average T1S for each decade was 32°, 31°, 33°, and 36° for males, and 28°, 29°, 32°, and 37° for females, respectively. Average C2-C7 SVA was 25, 28, 34, and 35 mm for males, and 20, 21, 22, and 28 mm for females, respectively. C2-C7 SVA 40 mm or more, T1S 40° or more, and T1S-CL 20° or more pertaining to EQ-5D were significantly worse in other cases.
CONCLUSION: C2-C7 SVA was significantly greater in males among all age groups, particularly among those with C2-C7 SVA of 40 mm or more [males, 69% (82/118) vs. females, 33% (36/118)]. Sagittal parameters of cervical spine were significantly worse in males than females. C2-C7 SVA, T1S, and T1S-CL negatively influenced EQ-5D. These results help to explain the greater prevalence of cervical spondylotic myelopathy among elderly males. LEVEL OF EVIDENCE: 3.

Entities:  

Mesh:

Year:  2015        PMID: 26208229     DOI: 10.1097/BRS.0000000000001071

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


  40 in total

1.  Analysis of skeletal muscle mass in women over 40 with degenerative lumbar scoliosis.

Authors:  Yawara Eguchi; Toru Toyoguchi; Kazuhide Inage; Kazuki Fujimoto; Sumihisa Orita; Miyako Suzuki; Hirohito Kanamoto; Koki Abe; Masaki Norimoto; Tomotaka Umimura; Takashi Sato; Masao Koda; Takeo Furuya; Yasuchika Aoki; Junichi Nakamura; Tsutomu Akazawa; Kazuhisa Takahashi; Seiji Ohtori
Journal:  Eur Spine J       Date:  2018-12-04       Impact factor: 3.134

2.  Kinematic characteristics of patients with cervical imbalance: a weight-bearing dynamic MRI study.

Authors:  Koji Tamai; Phillip Grisdela; Joshua Romanu; Permsak Paholpak; Zorica Buser; Jeffrey C Wang
Journal:  Eur Spine J       Date:  2019-01-08       Impact factor: 3.134

3.  An in vitro evaluation of sagittal alignment in the cervical spine after insertion of supraphysiologic lordotic implants.

Authors:  Donald J Blaskiewicz; Jeffrey E Harris; Patrick P Han; Alexander W Turner; Gregory M Mundis
Journal:  Eur Spine J       Date:  2017-05-13       Impact factor: 3.134

4.  Kinetic DTI of the cervical spine: diffusivity changes in healthy subjects.

Authors:  Félix P Kuhn; Antoine Feydy; Nathalie Launay; Marie-Martine Lefevre-Colau; Serge Poiraudeau; Sébastien Laporte; Marc A Maier; Pavel Lindberg
Journal:  Neuroradiology       Date:  2016-06-08       Impact factor: 2.804

5.  Impact of the surgical treatment for degenerative cervical myelopathy on the preoperative cervical sagittal balance: a review of prospective comparative cohort between anterior decompression with fusion and laminoplasty.

Authors:  Kenichiro Sakai; Toshitaka Yoshii; Takashi Hirai; Yoshiyasu Arai; Kenichi Shinomiya; Atsushi Okawa
Journal:  Eur Spine J       Date:  2016-07-29       Impact factor: 3.134

6.  Cut-off values of and factors associated with a negative influence on Neck Disability Index.

Authors:  Shin Oe; Daisuke Togawa; Go Yoshida; Tomohiko Hasegawa; Yu Yamato; Tatsuya Yasuda; Tomohiro Banno; Hideyuki Arima; Yuki Mihara; Hiroki Ushirozako; Yukihiro Matsuyama
Journal:  Eur Spine J       Date:  2018-03-22       Impact factor: 3.134

7.  Correlation and differences in cervical sagittal alignment parameters between cervical radiographs and magnetic resonance images.

Authors:  Masahito Oshina; Masashi Tanaka; Yasushi Oshima; Sakae Tanaka; K Daniel Riew
Journal:  Eur Spine J       Date:  2018-03-23       Impact factor: 3.134

8.  MRI kinematic analysis of T1 sagittal motion between cervical flexion and extension positions in 145 patients.

Authors:  Koji Tamai; Zorica Buser; Permsak Paholpak; Kittipong Sessumpun; Patrick C Hsieh; Hiroaki Nakamura; Jeffrey C Wang
Journal:  Eur Spine J       Date:  2017-11-11       Impact factor: 3.134

9.  Characteristics of deformity surgery in patients with severe and rigid cervical kyphosis (CK): results of the CSRS-Europe multi-centre study project.

Authors:  H Koller; C Ames; H Mehdian; R Bartels; R Ferch; V Deriven; H Toyone; C Shaffrey; J Smith; W Hitzl; J Schröder; Yohan Robinson
Journal:  Eur Spine J       Date:  2018-11-27       Impact factor: 3.134

10.  Differences in lumbar and pelvic parameters among African American, Caucasian and Asian populations.

Authors:  Hideyuki Arima; John R Dimar; Steven D Glassman; Yu Yamato; Yukihiro Matsuyama; Jean-Marc Mac-Thiong; Pierre Roussouly; Brandon Cook; Leah Y Carreon
Journal:  Eur Spine J       Date:  2018-08-24       Impact factor: 3.134

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