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Article

Association between Sagittal Cervical Spinal Alignment and Degenerative Cervical Spondylosis: A Retrospective Study Using a New Scoring System

1
Department of Anesthesiology and Pain Medicine, Chungnam National University Hospital, Daejeon 35015, Korea
2
Department of Anesthesiology and Pain Medicine, College of Medicine, Chungnam National University, Daejeon 34134, Korea
3
Department of Radiology, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin 16995, Korea
4
Big Data Center, Biomedical Research Institute, Chungnam National University Hospital, Daejeon 35015, Korea
5
Core Laboratory of Translational Research, Biomedical Convergence Research Center, Chungnam National University Hospital, Daejeon 35015, Korea
*
Authors to whom correspondence should be addressed.
These authors contributed equally to this work.
J. Clin. Med. 2022, 11(7), 1772; https://doi.org/10.3390/jcm11071772
Submission received: 17 February 2022 / Revised: 20 March 2022 / Accepted: 21 March 2022 / Published: 23 March 2022
(This article belongs to the Special Issue Spinal Disorders: Current Treatment and Future Opportunities)

Abstract

:
(1) Background: Prolonged neck flexion is thought to cause harmful loading on the cervical spine. Along with the degenerative process, cervical alignment tends to change toward lordotic curvature. The association between cervical alignment and cervical spondylosis remains unclear. (2) Methods: Three raters retrospectively assessed cervical radiographies of outpatients at a tertiary center in 2019 using degenerative cervical spondylosis score (DCS score; a newly developed scoring system), C2-7 absolute rotational angle (ARA), and C2-7 sagittal vertical axis (SVA). (3) Results: A total of 561 patients were included in the analysis. Multiple regression analysis with adjustments for age and sex revealed that C2-7 ARA, rather than SVA, was a significant parameter for degenerative spondylosis. The interaction between age and C2-7 ARA was significant, indicating that the increase in DCS score with increasing age was more pronounced in patients with kyphotic cervical alignment. The direct effect of age on DCS score was 0.349 (95% CI 0.319 to 0.380, p < 0.001) and the proportion of the mediation effect of C2-7 ARA was −0.125 (p < 0.001). (4) Conclusions: C2-7 ARA was significantly associated with DCS after adjustment for both age and sex. Subjects with more kyphotic cervical alignment showed a greater correlation between increased DCS score and older age.

1. Introduction

Degenerative cervical spondylosis is a chronic, acquired deterioration of the cervical spine that can cause neck pain, radiculopathy, and/or myelopathy. Although it can occur as early as the first decade of life, aging is associated with degenerative changes of the spine [1]. Loss of height and desiccation of the disc predispose its annulus to fissure and can cause herniation of the nucleus pulposus. Foraminal or spinal canal narrowing, sensitization of nociceptive fibers, and degenerative changes of facet joints occur dependently or independently of the disc degeneration and can be manifested as radiologic changes and/or clinical symptoms [2]. Along with these degenerative processes, cervical sagittal alignment tends to change toward lordotic curvature [3,4,5,6].
Excess use of mobile devices has recently been reported to be associated with increases in degenerative changes of the cervical spine and neck complaints [7,8]. Because a flexed neck posture, which is commonly observed during the use of hand-held mobile devices [9,10,11], can increase cervical loading [12], cervical malalignment (e.g., loss of lordosis or kyphosis) is likely associated with cervical spondylosis.
To date, however, the association between degenerative cervical spondylosis and sagittal cervical alignment remains unclear, with few studies assessing their relationship. In this study, therefore, degenerative cervical spondylosis was assessed quantitatively using a newly developed scoring system, and the impact of cervical alignment on the degenerative score was assessed using an interaction model and a causal mediation effect model.

2. Materials and Methods

2.1. Study Design and Population

This retrospective cohort study included outpatients who underwent a set of cervical radiography examinations (six standard images, including antero-posterior, lateral, right and left oblique, flexion and extension views) during 2019 at Chungnam National University Hospital, a tertiary teaching hospital. The protocol of this study was approved by the Institutional Review Board of Chungnam National University Hospital (CNUH 2021-03-036). Patients were excluded if they had undergone surgical procedures or sustained fractures of the cervical spine; had anatomical abnormalities that could significantly distort alignment (e.g., congenital vertebral fusion); had a bone or soft tissue tumor in the cervical region, diffuse idiopathic skeletal hyperostosis (DISH), ossification of the posterior longitudinal ligament (OPLL), or ankylosing spondylitis. Patients with images in which the sagittal cervical alignment could not be assessed were also excluded, including images with ill-defined bony margins or when the image of the seventh cervical spine was blocked by the shoulder. Clinical data, including age, sex, and the department ordering the imaging study, were also recorded. Radiographic images were independently assessed by three authors (C.O., an anesthesiology fellow; M.L., a clinical professor of musculoskeletal radiology at a secondary hospital; and C.N., a clinical professor of pain medicine at a tertiary hospital) using the basic tools of the Picture Archiving and Communicating System (PACS; Maroview, Marosis, Korea). One month after the initial image assessment, images from 32 patients, chosen by stratified randomly sampling based on their initial score, were again assessed to evaluate intra-rater agreement. This manuscript adheres to the applicable STROBE (Strengthening the Reporting of Observational Studies in Epidemiology) guidelines [13].

2.2. Scoring System (Degenerative Cervical Spondylosis [DCS] Score)

The scoring system was developed using images from 30 randomly selected patients. Initially, the three authors designated to assess the images used a previously developed scoring system, the cervical degenerative index [14]. All authors subsequently discussed the results of inter- and intra-rater agreement and the limitations of the cervical degenerative index. This index was subsequently modified by: (1) adding a separate item for the facet joint; (2) separately assessing posterior and anterior osteophytes; (3) grading of anterior osteophytes as none, <2 mm, or ≥2 mm; (4) grading endplate sclerosis as none, detectable, or definite; and (5) grading of listhesis as absent, none or present. Modifications (1) and (2) were performed to improve discriminating ability, whereas modifications (3), (4) and (5) were performed to reduce inter-rater disagreement and to consider clinical relevance. The final newly developed scoring system, called the degenerative cervical spondylosis (DCS) score, is shown in Table 1. Each segment (C2-7 to C6-7) was rated separately and their scores added, resulting in a possible total score ranging from 0 to 60. A set of sample images and corresponding scores determined by the radiologist (M.L.) are presented in Supplementary File S1.

2.3. Assessment of Sagittal Cervical Alignment

Cervical alignment on lateral images was assessed using two methods (Figure 1). In the first method, C2-7 absolute rotational angle (ARA; °) [15] was determined by drawing two lines, parallel to the posterior margins of the vertebral bodies of C2 and C7, and measuring the angle between these two lines. A negative angle represents lordotic curvature. In the second method, C2-7 sagittal vertical axis (SVA; mm) [16], a vertical line was drawn from the center of the vertebral body of C2 to the ground. The vertical distance from this line to the posterior superior aspect of the C7 vertebral body was measured.
C2-7 absolute rotational angle (ARA): angle between the two lines, one parallel to the posterior margin of the vertebral bodies of C2 and the other parallel to the posterior margin of the vertebral bodies of C7 (orange solid lines). A negative angle represents lordotic curvature. C2-7 sagittal vertical axis (SVA): vertical distance from the C2 plumb line (red dotted line) to the posterior superior aspect of the C7 vertebral body (red solid line).

2.4. Statistical Analyses

Sample size was based on the data available from January to December 2019. No statistical power calculation was performed before the study. A two-way mixed effect model was used to calculate intra- and inter-rater correlation coefficients, with absolute agreement assessed for intra-rater correlation and consistency for inter-rater correlation [17]. The mean values of the measurements made by the three raters were used for the analysis, except for the analysis of intra- and inter-rater correlations. Continuous variables are presented as mean and standard deviation (SD) or as median and interquartile ranges (IQR) after testing for normal distribution using the Shapiro–Wilk test. The measured values were stratified by sex, and, depending on their distribution, the differences between men and women were assessed by independent t-tests or Mann–Whitney U tests.
Correlations between the continuous variables of interest (age, DCS score, C2-7 ARA, C2-7 SVA) were assessed by Spearman correlation analysis. A linear regression analysis (model 1) was performed using DCS score as a dependent variable and C2-7 ARA and C2-7 SVA as independent variables, with adjustment for confounding factors (age and sex). Additionally, to assess whether cervical alignment, which had been shown significant on previous analysis, had a moderating effect on the relationships of DCS score with age and sex, interaction terms between these confounders and cervical alignment were tested (model 2).
Finally, to determine whether C2-7 ARA has any mediating effect on the degenerative process of the cervical spine (i.e., age vs. DCS score), a causal mediation effect model, which considered sex and C2-7 SVA as covariates, was applied. The main concept of the mediation theory is that a mediating variable is causally related to the independent and dependent variables, such that changing the mediating variable will change the response variable [18]. Average causal mediation effect (ACME) and average direct effect (ADE), which represent the population averages of these causal mediation and direct effects, respectively, were calculated. Significance tests for mediation effect were calculated by computing the nonparametric boot-strap confidence interval. p-values < 0.05 were defined as statistically significant. All statistical analyses were performed using R software version 4.0.4 (R Project for Statistical Computing, Vienna, Austria), with the “mediation” package [19] used for the mediation analysis.

3. Results

Of the 699 patients included in the initial feasibility screening, 108 were excluded. Of the remaining 591 patients, 30 were used in the development of the scoring system, and 561 were included in the final analysis (Figure 2). The clinical characteristics and mean measured values of these patients, stratified by sex, are shown in Table 2. Median [IQR] DCS scores (11.3 [6.0–18.0] vs. 8.3 [4.0–13.3], p < 0.001) and mean ± SD C2-7 SVA (21.7 ± 10.9 mm vs. 15.5 ± 9.3 mm, p < 0.001) were significantly higher in men than in women.
The inter-rater correlation coefficient for DCS score was 0.87 (95% CI 0.85 to 0.88), indicating good reliability [17]. The inter-rater correlation coefficients were 0.94 for both C2-7 ARA and SVA, indicating excellent reliability (Table S1). Intra-rater correlation coefficients for DCS score and C2-7 ARA and SVA also showed excellent reliability (Table S2).
Correlations between the continuous variables of interest (age, DCS score, and C2-7 ARA and SVA) are summarized in Table 3. Age showed significant positive correlations with all three measurements. The correlation between DCS score and C2-7 ARA was not significant, whereas the correlation between DCS score and C2-7 SVA was poor, but statistically significant (rho = 0.182, p < 0.001). The regression analysis assessing relationship between DCS score and cervical alignment with adjustments for age and sex (model 1) showed that C2-7 ARA (p < 0.001), rather than SVA (p = 0.136), is significantly associated with DCS score (Table 4). The interaction between age and C2-7 ARA was also significant (model 2). The increase in DCS score with increasing C2-7 ARA was more pronounced in the older population (Figure 3), and, conversely, the increase in DCS score with age was more pronounced in patients with kyphotic cervical alignment (Figure 4).
A negative angle represents lordotic curvature. The increasing trend of DCS score with increasing C2-7 ARA was more pronounced in the older population.
A negative angle represents lordotic curvature. The increasing trend of DCS score with increasing age was more pronounced in patients with kyphotic cervical alignment.
The direct effect (ADE) of age on DCS score was 0.349 (95% CI 0.319 to 0.380, p < 0.001) and the mediation effect (ACME) of C2-7 ARA was −0.039 (95% CI −0.056 to −0.030, p < 0.001). The total effect (i.e., the sum of direct and indirect effects) was 0.308 (95% CI 0.280 to 0.340, p < 0.001) and the proportion of the mediation was −0.125 (95% CI −0.188 to −0.080, p < 0.001) (Table S3).

4. Discussion

Degenerative changes of the cervical spine with increased age are intuitive and previously reported [20,21,22]. Cervical alignment also changes with age [3], while differing by sex [23]. A previous study found that the correlation between cervical lordosis and degenerative change was not statistically significant, perhaps because these confounding factors were not considered [24]. The present study showed a significant association between DCS and C2-7 ARA after adjustment for age, sex, and C2-7 SVA. Although C2-7 SVA was positively correlated with DCS score, this correlation lost its statistical significance when the other confounders are collectively considered. As the other factors cannot be considered separately in reality, the multivariate models suggested in the current study would provide a more clinically meaningful conclusion. Additionally, C2-7 ARA had a significant moderating effect on the association between age and DCS score. That is, in subjects with a more kyphotic cervical alignment, DCS score tended to increase more steeply with increasing age. Mediation analysis found that (1) the ratio of 0.349 in observed degenerative changes of the cervical spine (DCS score) in this population was due to age; (2) C2-7 ARA had an effect on DCS score opposite to that of age (−0.039; 12.5% of the total effect); and (3) the total effect of 0.308 is the sum of the direct effect of age and the indirect (mediation) effect of C2-7 ARA.
The prevalence of cervical pathologies Is increasing with increased use of mobile devices [7,8,25] and computers, which are usually associated with prolonged flexed neck posture [9,10,11,12]. In addition, prolonged neck flexion has been reported to cause harmful loading on the cervical spine [12,26,27], and thus may accelerate degenerative processes in the cervical spine. Loss of normal lordotic curvature has been recently reported to increase in the Korean population, especially in younger individuals [28]. Furthermore, recent studies indicate that cervical alignment is associated with postoperative outcome [29] and disc herniation [30], and an emerging trend of increasing interest for cervical alignment was noted [31]. In this context, the findings of the current study, showing a significant relationship between cervical alignment and DCS score, warrant further clinical research.
The causal mediation effect model applied in the present study revealed that sagittal cervical alignment had a mediation effect on degenerative changes of the cervical spine with increased age. Lordotic changes in cervical alignment may have a protective effect against degenerative processes of the cervical spine. However, as this analysis was based on cross-sectional data, with all measurements in each subject performed at the same time, caution should be exercised in interpreting these results. Although mediation analysis has been performed frequently in various scientific contexts [32] and has a sound statistical background [18], the interpretation of its results is not completely free from clinical inferences or temporal relationships between the variables [32,33,34]. Thus, the mediation effect revealed in the present study should be considered hypothesis generating. Future studies with a longitudinal or interventional design are warranted to confirm whether preservation or promotion of a lordotic curvature has clinical benefits in preventing degenerative processes of the cervical spine.
Although there was a pre-existing quantitative scoring system for DCS, the cervical degenerative index, it has limited intra- and inter-rater correlation and could not discretely evaluate the facet joint. Thus, a new scoring system was developed for the present study. To minimize ambiguity and intra- or inter-rater disagreement in the assessment of sclerosis, osteophytes, and listhesis, the system was simplified by reducing levels of classification in each category. Furthermore, to improve clinical relevance, posterior osteophytes and facet joints were also evaluated. These added categories are considered important in cervical pathologic conditions, such as neural foraminal stenosis [35] and facet joint syndrome [36]. The excellent intra- and inter-rater agreements shown in the current study provide reliability of the analysis and can firmly support the conclusion. Additionally, similar findings by the three raters—a radiologist, a pain physician, and an anesthesiologist—despite differences in their expertise, suggest the generalizability of the newly developed scoring system.
Cervical radiography used in the current study is clinically useful, despite the availability of more sophisticated imaging methods, such as magnetic resonance imaging. Using simple and low-cost images, cervical radiography can assess cervical alignment in the neutral or flexion/extension position and can visualize overall degenerative changes. Thus, cervical radiography is still considered a first-line imaging modality for patients with cervical pathologies.
This study had several limitations. First, due to its cross-sectional design, the causal relationship between cervical alignment and DCS could not be determined, suggesting a need for additional, confirmatory studies. Second, the newly developed scoring system has not yet been validated externally and its clinical relevance is not known. Third, the excellent inter-rater agreement observed in the current study may have resulted from the discussion held during the development stage of the scoring system. External validation is therefore needed to confirm the inter-rater agreement.

5. Conclusions

In conclusion, C2-7 ARA was significantly associated with DCS score after adjustment for both age and sex. In patients with a more kyphotic cervical alignment, a greater increase in DCS score was observed as age increased. Further studies are warranted to evaluate whether lordotic cervical alignment has a protective effect against the degenerative process of the cervical spine.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/jcm11071772/s1, Table S1: Inter-rater correlation coefficients of the measured values; Table S2: Intra-rater correlation coefficients of the measured values; Table S3: Description of the causal mediation effect model. File S1: Sample images for DCS scoring.

Author Contributions

Conceptualization, C.O., M.L. and C.N.; methodology, C.O., M.L., C.N., B.-S.S. and S.Y.L.; software, C.O. and B.-S.S.; formal analysis, C.O. and B.-S.S.; investigation, C.O., M.L., B.H., S.Y., S.K. and C.N.; resources, Y.K., S.Y.L. and C.N.; writing—original draft preparation, C.O., M.L. and C.N.; writing—review and editing, all authors; visualization, C.O.; supervision, Y.K. and S.Y.L.; project administration, C.N.; funding acquisition, C.N. All authors have read and agreed to the published version of the manuscript.

Funding

This research was funded by Chungnam National University Hospital Research Fund 2021 (2021-CF-044), and research fund of Chungnam National University (2021-0572-01).

Institutional Review Board Statement

The study was conducted in accordance with the Declaration of Helsinki, and approved by the Institutional Review Board of Chungnam National University Hospital (CNUH 2021-03-036, 8 April 2021).

Informed Consent Statement

Patient consent was waived due to retrospective design.

Data Availability Statement

The data presented in this study are available on reasonable request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

References

  1. Benoist, M. Natural history of the aging spine. Eur. Spine J. 2003, 12 (Suppl. 2), S86–S89. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  2. Theodore, N. Degenerative Cervical Spondylosis. N. Engl. J. Med. 2020, 383, 159–168. [Google Scholar] [CrossRef] [PubMed]
  3. Tang, R.; Ye, I.B.; Cheung, Z.B.; Kim, J.S.; Cho, S.K. Age-related Changes in Cervical Sagittal Alignment: A Radiographic Analysis. Spine 2019, 44, E1144–E1150. [Google Scholar] [CrossRef]
  4. Park, M.S.; Moon, S.H.; Lee, H.M.; Kim, S.W.; Kim, T.H.; Lee, S.Y.; Riew, K.D. The effect of age on cervical sagittal alignment: Normative data on 100 asymptomatic subjects. Spine 2013, 38, E458–E463. [Google Scholar] [CrossRef] [PubMed]
  5. Yukawa, Y.; Kato, F.; Suda, K.; Yamagata, M.; Ueta, T. Age-related changes in osseous anatomy, alignment, and range of motion of the cervical spine. Part I: Radiographic data from over 1200 asymptomatic subjects. Eur. Spine J. 2012, 21, 1492–1498. [Google Scholar] [CrossRef] [PubMed]
  6. Charles, Y.P.; Prost, S.; Pesenti, S.; Iharreborde, B.; Bauduin, E.; Laouissat, F.; Riouallon, G.; Wolff, S.; Challier, V.; Obeid, I.; et al. Variation of cervical sagittal alignment parameters according to gender, pelvic incidence and age. Eur. Spine J. 2022, 1–13. [Google Scholar] [CrossRef] [PubMed]
  7. Xie, Y.; Szeto, G.; Dai, J. Prevalence and risk factors associated with musculoskeletal complaints among users of mobile handheld devices: A systematic review. Appl. Ergon. 2017, 59, 132–142. [Google Scholar] [CrossRef]
  8. Zhuang, L.; Wang, L.; Xu, D.; Wang, Z.; Liang, R. Association between excessive smartphone use and cervical disc degeneration in young patients suffering from chronic neck pain. J. Orthop. Sci. 2021, 26, 110–115. [Google Scholar] [CrossRef]
  9. Koh, M.J.; Park, S.Y.; Woo, Y.S.; Kang, S.H.; Park, S.H.; Chun, H.J.; Park, E.J. Assessing the Prevalence of Recurrent Neck and Shoulder Pain in Korean High School Male Students: A Cross-sectional Observational Study. Korean J. Pain 2012, 25, 161–167. [Google Scholar] [CrossRef]
  10. Guan, X.; Fan, G.; Wu, X.; Zeng, Y.; Su, H.; Gu, G.; Zhou, Q.; Gu, X.; Zhang, H.; He, S. Photographic measurement of head and cervical posture when viewing mobile phone: A pilot study. Eur. Spine J. 2015, 24, 2892–2898. [Google Scholar] [CrossRef]
  11. Lee, S.; Kang, H.; Shin, G. Head flexion angle while using a smartphone. Ergonomics 2015, 58, 220–226. [Google Scholar] [CrossRef] [PubMed]
  12. Barrett, J.M.; McKinnon, C.; Callaghan, J.P. Cervical spine joint loading with neck flexion. Ergonomics 2020, 63, 101–108. [Google Scholar] [CrossRef] [PubMed]
  13. von Elm, E.; Altman, D.G.; Egger, M.; Pocock, S.J.; Gøtzsche, P.C.; Vandenbroucke, J.P. The Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) statement: Guidelines for reporting observational studies. Lancet 2007, 370, 1453–1457. [Google Scholar] [CrossRef]
  14. Ofiram, E.; Garvey, T.A.; Schwender, J.D.; Denis, F.; Perra, J.H.; Transfeldt, E.E.; Winter, R.B.; Wroblewski, J.M. Cervical degenerative index: A new quantitative radiographic scoring system for cervical spondylosis with interobserver and intraobserver reliability testing. J. Orthop. Traumatol. 2009, 10, 21–26. [Google Scholar] [CrossRef] [Green Version]
  15. Harrison, D.E.; Harrison, D.D.; Cailliet, R.; Troyanovich, S.J.; Janik, T.J.; Holland, B. Cobb Method or Harrison Posterior Tangent Method: Which to Choose for Lateral Cervical Radiographic Analysis. Spine 2000, 25, 2072–2078. [Google Scholar] [CrossRef]
  16. Ames, C.P.; Blondel, B.; Scheer, J.K.; Schwab, F.J.; Le Huec, J.C.; Massicotte, E.M.; Patel, A.A.; Traynelis, V.C.; Kim, H.J.; Shaffrey, C.I.; et al. Cervical radiographical alignment: Comprehensive assessment techniques and potential importance in cervical myelopathy. Spine 2013, 38, S149–S160. [Google Scholar] [CrossRef]
  17. Koo, T.K.; Li, M.Y. A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research. J. Chiropr. Med. 2016, 15, 155–163. [Google Scholar] [CrossRef] [Green Version]
  18. Imai, K.; Keele, L.; Yamamoto, T. Identification, inference and sensitivity analysis for causal mediation effects. Stat. Sci. 2010, 25, 51–71. [Google Scholar] [CrossRef] [Green Version]
  19. Tingley, D.; Yamamoto, T.; Hirose, K.; Keele, L.; Imai, K. Mediation: R Package for Causal Mediation Analysis. J. Stat. Softw. 2014, 59, 1–38. [Google Scholar] [CrossRef] [Green Version]
  20. Lehto, I.J.; Tertti, M.O.; Komu, M.E.; Paajanen, H.E.K.; Tuominen, J.; Kormano, M.J. Age-related MRI changes at 0.1 T in cervical discs in asymptomatic subjects. Neuroradiology 1994, 36, 49–53. [Google Scholar] [CrossRef]
  21. Kato, F.; Yukawa, Y.; Suda, K.; Yamagata, M.; Ueta, T. Normal morphology, age-related changes and abnormal findings of the cervical spine. Part II: Magnetic resonance imaging of over 1200 asymptomatic subjects. Eur. Spine J. 2012, 21, 1499–1507. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  22. Okada, E.; Matsumoto, M.; Ichihara, D.; Chiba, K.; Toyama, Y.; Fujiwara, H.; Momoshima, S.; Nishiwaki, Y.; Hashimoto, T.; Ogawa, J.; et al. Aging of the cervical spine in healthy volunteers: A 10-year longitudinal magnetic resonance imaging study. Spine 2009, 34, 706–712. [Google Scholar] [CrossRef] [PubMed]
  23. Oe, S.; Togawa, D.; Nakai, K.; Yamada, T.; Arima, H.; Banno, T.; Yasuda, T.; Kobayasi, S.; Yamato, Y.; Hasegawa, T.; et al. The Influence of Age and Sex on Cervical Spinal Alignment Among Volunteers Aged Over 50. Spine 2015, 40, 1487–1494. [Google Scholar] [CrossRef] [PubMed]
  24. Kim, H.J.; Lenke, L.G.; Oshima, Y.; Chuntarapas, T.; Mesfin, A.; Hershman, S.; Fogelson, J.L.; Riew, K.D. Cervical Lordosis Actually Increases With Aging and Progressive Degeneration in Spinal Deformity Patients. Spine Deform. 2014, 2, 410–414. [Google Scholar] [CrossRef]
  25. Al-Hadidi, F.; Bsisu, I.; AlRyalat, S.A.; Al-Zu’bi, B.; Bsisu, R.; Hamdan, M.; Kanaan, T.; Yasin, M.; Samarah, O. Association between mobile phone use and neck pain in university students: A cross-sectional study using numeric rating scale for evaluation of neck pain. PLoS ONE 2019, 14, e0217231. [Google Scholar] [CrossRef]
  26. Bonney, R.A.; Corlett, E.N. Head posture and loading of the cervical spine. Appl. Ergon. 2002, 33, 415–417. [Google Scholar] [CrossRef]
  27. Przybyla, A.S.; Skrzypiec, D.; Pollintine, P.; Dolan, P.; Adams, M.A. Strength of the cervical spine in compression and bending. Spine 2007, 32, 1612–1620. [Google Scholar] [CrossRef]
  28. Shin, Y.; Han, K.; Lee, Y.H. Temporal Trends in Cervical Spine Curvature of South Korean Adults Assessed by Deep Learning System Segmentation, 2006–2018. JAMA Netw. Open 2020, 3, e2020961. [Google Scholar] [CrossRef]
  29. Pinter, Z.W.; Salmons, H.I., IV; Townsley, S.E.; Xiong, A.; Michalopoulos, G.D.; El Sammak, S.; Currier, B.; Nassr, A.; Freedman, B.A.; Bydon, M.; et al. Improved Sagittal Alignment is Associated with Early Postoperative Neck Disability and Pain Related Patient Reported Outcomes following Posterior Cervical Decompression and Fusion for Myelopathy. World Neurosurg. 2022. [Google Scholar] [CrossRef]
  30. Gao, K.; Zhang, J.; Lai, J.; Liu, W.; Lyu, H.; Wu, Y.; Lin, Z.; Cao, Y. Correlation between cervical lordosis and cervical disc herniation in young patients with neck pain. Medicine 2019, 98, e16545. [Google Scholar] [CrossRef]
  31. Yin, M.; Xu, C.; Ma, J.; Ye, J.; Mo, W. A Bibliometric Analysis and Visualization of Current Research Trends in the Treatment of Cervical Spondylotic Myelopathy. Glob. Spine J. 2021, 11, 988–998. [Google Scholar] [CrossRef] [PubMed]
  32. Maxwell, S.E.; Cole, D.A. Bias in cross-sectional analyses of longitudinal mediation. Psychol. Methods 2007, 12, 23–44. [Google Scholar] [CrossRef] [PubMed] [Green Version]
  33. MacKinnon, D. Introduction to Statistical Mediation Analysis; Routledge: New York, NY, USA, 2012. [Google Scholar]
  34. O’Laughlin, K.D.; Martin, M.J.; Ferrer, E. Cross-sectional analysis of longitudinal mediation processes. Multivar. Behav. Res. 2018, 53, 375–402. [Google Scholar] [CrossRef] [PubMed]
  35. Kim, S.; Lee, J.W.; Chai, J.W.; Yoo, H.J.; Kang, Y.; Seo, J.; Ahn, J.M.; Kang, H.S. A New MRI Grading System for Cervical Foraminal Stenosis Based on Axial T2-Weighted Images. Korean J. Radiol. 2015, 16, 1294–1302. [Google Scholar] [CrossRef] [Green Version]
  36. Gellhorn, A.C.; Katz, J.N.; Suri, P. Osteoarthritis of the spine: The facet joints. Nat. Rev. Rheumatol. 2013, 9, 216–224. [Google Scholar] [CrossRef] [Green Version]
Figure 1. Radiographic measurement of sagittal cervical alignment.
Figure 1. Radiographic measurement of sagittal cervical alignment.
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Figure 2. Patient flow diagram.
Figure 2. Patient flow diagram.
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Figure 3. Interaction plot showing the moderating effect of age on the relationship between degenerative cervical spondylosis (DCS) score and C2-7 absolute rotational angle (ARA).
Figure 3. Interaction plot showing the moderating effect of age on the relationship between degenerative cervical spondylosis (DCS) score and C2-7 absolute rotational angle (ARA).
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Figure 4. Interaction plot showing the impact of C2-7 absolute rotational angle (ARA) on the relationship between degenerative cervical spondylosis (DCS) score and age.
Figure 4. Interaction plot showing the impact of C2-7 absolute rotational angle (ARA) on the relationship between degenerative cervical spondylosis (DCS) score and age.
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Table 1. Description of the newly developed degenerative cervical spondylosis score (DCSS).
Table 1. Description of the newly developed degenerative cervical spondylosis score (DCSS).
Disc Degeneration
SclerosisNone0
Detectable1
Definite (with irregularity)2
Narrowing 1<25%0
25~50%1
51~75%2
>75%3
Anterior osteophytesNone0
<2 mm1
≥2 mm2
Posterior osteophytes 2,3None0
<50%1
≥50%2
Listhesis 4None0
Present1
Facet joint
None or mild sclerotic change0
Mild narrowing or irregularity1
Severe narrowing2
1 Middle disc height measured in a lateral image compared with a normal (or least degenerated) disc height at any segment of the cervical spine; the mid-point of the margins was selected in segments with ill-defined or sub-optimally aligned endplates. 2 Osteophytes originating from the vertebral body or intervertebral disc (not the facet joint). 3 The amount of blockage of the intervertebral foramen by posterior osteophytes in oblique images. The left and right sides of the segment were compared, and the side with the higher grade was selected. 4 Either retro- or antero-listhesis.
Table 2. Clinical characteristics and mean measured values of patients stratified by sex.
Table 2. Clinical characteristics and mean measured values of patients stratified by sex.
SexFemaleMalep
(n = 317)(n = 244)
Age (yr), median [IQR]60.0 [49.0–69.0]58.0 [46.0–68.5]0.222
Department, n (%) 0.147
Anesthesiology and pain medicine23 (7.3)15 (6.1)
Neurology42 (3.2)25 (10.2)
Neurosurgery49 (5.5)53 (21.7)
Orthopedic165 (52.1)130 (53.3)
Rheumatology19 (6.0)6 (2.5)
Rehabilitation medicine19 (6.0)15 (6.1)
DCS score, median [IQR]
Endplate sclerosis1.7 [1.0–3.0]2.3 [1.0–3.7]0.003
Disc space narrowing0.7 [0.0–1.7]1.0 [0.0–2.3]0.036
Anterior osteophyte1.3 [0.3–3.0]2.3 [0.7–4.3]<0.001
Posterior osteophyte2.0 [1.0–3.0]2.8 [1.7–4.0]<0.001
Listhesis1.0 [0.3–1.7]1.0 [0.7–2.0]0.012
Facet joint0.7 [0.3–1.7]1.3 [0.3–2.7]<0.001
Total score8.3 [4.0–13.3]11.3 [6.0–18.0]<0.001
Sagittal alignment, mean ± SD
C2-7 ARA (°)−17.5 ± 11.9−16.2 ± 11.00.179
C2-7 SVA (mm)15.5 ± 9.321.7 ± 10.9<0.001
DCS: degenerative cervical spondylosis, ARA: absolute rotational angle, SVA: sagittal vertical axis.
Table 3. Correlations between age, cervical alignment, and degenerative cervical spondylosis score.
Table 3. Correlations between age, cervical alignment, and degenerative cervical spondylosis score.
AgeC2-7ARAC2-7SVA
C2-7ARA−0.25 *
C2-7SVA0.14 *0.22 *
DCS score0.66 *0.040.18 *
ARA: absolute rotational angle, SVA: sagittal vertical axis, DCS: degenerative cervical spondylosis. * p < 0.001.
Table 4. Summary of the multiple linear regression models for degenerative cervical spondylosis score.
Table 4. Summary of the multiple linear regression models for degenerative cervical spondylosis score.
Model 1Model 2
EstimatepEstimatep
(Intercept)−7.472 −11.318
Male3.526<0.0012.6220.001
Age0.346<0.0010.408<0.001
C2-7ARA0.168<0.0010.0700.318
C2-7SVA−0.0340.136NANA
C2-7ARA * AgeNANA0.004<0.001
C2-7ARA * MaleNANA−0.0410.284
Model 1: linear model (adjusted R2 = 0.506), Model 2: linear model with interaction terms (adjusted R2 = 517). ARA: absolute rotational angle, SVA: sagittal vertical axis, NA: not available. The asterisks in the table indicate interaction between variables.
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Oh, C.; Lee, M.; Hong, B.; Song, B.-S.; Yun, S.; Kwon, S.; Ko, Y.; Lee, S.Y.; Noh, C. Association between Sagittal Cervical Spinal Alignment and Degenerative Cervical Spondylosis: A Retrospective Study Using a New Scoring System. J. Clin. Med. 2022, 11, 1772. https://doi.org/10.3390/jcm11071772

AMA Style

Oh C, Lee M, Hong B, Song B-S, Yun S, Kwon S, Ko Y, Lee SY, Noh C. Association between Sagittal Cervical Spinal Alignment and Degenerative Cervical Spondylosis: A Retrospective Study Using a New Scoring System. Journal of Clinical Medicine. 2022; 11(7):1772. https://doi.org/10.3390/jcm11071772

Chicago/Turabian Style

Oh, Chahyun, Minwook Lee, Boohwi Hong, Byong-Sop Song, Sangwon Yun, Sanghun Kwon, Youngkwon Ko, Sun Yeul Lee, and Chan Noh. 2022. "Association between Sagittal Cervical Spinal Alignment and Degenerative Cervical Spondylosis: A Retrospective Study Using a New Scoring System" Journal of Clinical Medicine 11, no. 7: 1772. https://doi.org/10.3390/jcm11071772

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