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Sagittal alignment cut-off values for predicting future fall-related fractures in community-dwelling osteoporotic women

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Abstract

Purpose

Determining the optimal cut-off value of sagittal alignment for detecting osteoporotic patients at high risk for fall-related fractures is essential for understanding fracture risk and informing clinicians and physical therapists. We determined the optimal cut-off value of sagittal alignment for detecting osteoporotic patients at high risk for fall-related fractures in this study.

Methods

In the retrospective cohort study, we enrolled a total of 255 women aged ≥ 65 years who visited an outpatient osteoporosis clinic. We measured participants’ bone mineral density and sagittal alignment, including sagittal vertical axis (SVA), pelvic tilt, thoracic kyphosis, pelvic incidence, lumbar lordosis, global tilt, and gap score at the initial visit. The cut-off value for sagittal alignment that was significantly associated with fall-related fractures was calculated after using multivariate Cox proportional hazards regression analysis.

Results

Ultimately, 192 patients were included in the analysis. After a mean follow-up of 3.0 years, 12.0% (n = 23) had fractures due to falls. Multivariate Cox regression analysis confirmed that SVA (hazard ratio [HR] = 1.022, 95% confidence interval [CI] = 1.005–1.039) was the only independent predictor of fall-related fracture occurrence. The predictive ability of SVA for the occurrence of fall-related fractures was moderate (area under the curve [AUC] = 0.728, 95% CI = 0.623–0.834), with a cut-off value of 100 mm for SVA. SVA classified by cut-off value was also associated with an increased risk of developing fall-related fractures (HR = 17.002, 95% CI = 4.102–70.475).

Conclusion

We found that assessing the cut-off value of sagittal alignment would be useful information in understanding fracture risk in postmenopausal older women.

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References

  1. Lubitz J, Cai L, Kramarow E, Lentzner H (2003) Health, life expectancy, and health care spending among the elderly. N Engl J Med 349:1048–1055. https://doi.org/10.1056/nejmsa020614

    Article  CAS  PubMed  Google Scholar 

  2. Odén A, McCloskey EV, Kanis JA et al (2015) Burden of high fracture probability worldwide: secular increases 2010–2040. Osteoporos Int 26:2243–2248. https://doi.org/10.1007/s00198-015-3154-6

    Article  PubMed  Google Scholar 

  3. Orimo H, Yaegashi Y, Hosoi T et al (2016) Hip fracture incidence in Japan: estimates of new patients in 2012 and 25-year trends. Osteoporos Int 27:1777–1784. https://doi.org/10.1007/s00198-015-3464-8

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  4. Horii M, Fujiwara H, Ikeda T et al (2013) Urban versus rural differences in the occurrence of hip fractures in Japan’s Kyoto prefecture during 2008–2010: a comparison of femoral neck and trochanteric fractures. BMC Musculoskelet Disord 25(14):304. https://doi.org/10.1186/1471-2474-14-304

    Article  Google Scholar 

  5. Johnell O, Kanis JA (2006) An estimate of the worldwide prevalence and disability associated with osteoporotic fractures. Osteoporos Int 17:1726–1733. https://doi.org/10.1007/s00198-006-0172-4

    Article  CAS  PubMed  Google Scholar 

  6. Sambrook PN, Cameron ID, Chen JS et al (2007) Influence of fall related factors and bone strength on fracture risk in the frail elderly. Osteoporos Int 18:603–610. https://doi.org/10.1007/s00198-006-0290-z

    Article  CAS  PubMed  Google Scholar 

  7. Tiedemann A, Shimada H, Sherrington C et al (2008) The comparative ability of eight functional mobility tests for predicting falls in community-dwelling older people. Age Ageing 37:430–435. https://doi.org/10.1093/ageing/afn100

    Article  PubMed  Google Scholar 

  8. Nevitt MC, Cummings SR, Kidd S, Black D (1989) Risk factors for recurrent nonsyncopal falls: a prospective study. JAMA J Am Med Assoc 261:2663–2668. https://doi.org/10.1001/jama.1989.03420180087036

    Article  CAS  Google Scholar 

  9. Barrey C, Roussouly P, Le Huec JC et al (2013) Compensatory mechanisms contributing to keep the sagittal balance of the spine. Eur Spine J 22:834–841. https://doi.org/10.1007/s00586-013-3030-z

    Article  PubMed Central  Google Scholar 

  10. Miyakoshi N, Kudo D, Hongo M et al (2017) Comparison of spinal alignment, muscular strength, and quality of life between women with postmenopausal osteoporosis and healthy volunteers. Osteoporos Int 28:3153–3160. https://doi.org/10.1007/s00198-017-4184-z

    Article  CAS  PubMed  Google Scholar 

  11. Asahi R, Nakamura Y, Kanai M et al (2022) Association with sagittal alignment and osteoporosis-related fractures in outpatient women with osteoporosis. Osteoporos Int 33:1275–1284. https://doi.org/10.1007/s00198-021-06282-x

    Article  CAS  PubMed  Google Scholar 

  12. Baek SW, Kim C, Chang H (2015) The relationship between the spinopelvic balance and the incidence of adjacent vertebral fractures following percutaneous vertebroplasty. Osteoporos Int 26:1507–1513. https://doi.org/10.1007/s00198-014-3021-x

    Article  PubMed  Google Scholar 

  13. Schwab F, Patel A, Ungar B et al (2010) Adult spinal deformity-postoperative standing imbalance: How much can you tolerate? An overview of key parameters in assessing alignment and planning corrective surgery. Spine (Phila Pa 1976) 35:2224–2231. https://doi.org/10.1097/BRS.0b013e3181ee6bd4

    Article  PubMed  Google Scholar 

  14. Yurube T, Ito M, Takeoka T et al (2019) Possible improvement of the sagittal spinopelvic alignment and balance through “locomotion training” exercises in patients with “locomotive syndrome”: a literature review. Adv Orthop 2019:1–7. https://doi.org/10.1155/2019/6496901

    Article  Google Scholar 

  15. Boseker EH, Moe JH, Winter RB, Koop SE (2000) Determination of “normal” thoracic kyphosis: a roentgenographic study of 121 “normal” children. J Pediatr Orthop 20:796–798. https://doi.org/10.1097/01241398-200011000-00019

    Article  CAS  PubMed  Google Scholar 

  16. Faro FD, Marks MC, Pawelek J, Newton PO (2004) Evaluation of a functional position for lateral radiograph acquisition in adolescent idiopathic scoliosis. Spine (Phila Pa 1976) 29:2284–2289. https://doi.org/10.1097/01.brs.0000142224.46796.a7

    Article  PubMed  Google Scholar 

  17. Pan C, Wang G, Li Y et al (2021) Predictive model of global tilt (GT) determined by individual thoracic kyphosis, lumbar lordosis and pelvic incidence in the human degenerative spine. Eur Spine J 30:3191–3199. https://doi.org/10.1007/s00586-021-06947-5

    Article  PubMed  Google Scholar 

  18. Obeid I, Boissière L, Yilgor C et al (2016) Global tilt: a single parameter incorporating spinal and pelvic sagittal parameters and least affected by patient positioning. Eur Spine J 25:3644–3649. https://doi.org/10.1007/s00586-016-4649-3

    Article  CAS  PubMed  Google Scholar 

  19. Boissière L, Takemoto M, Bourghli A et al (2017) Global tilt and lumbar lordosis index: two parameters correlating with health-related quality of life scores—but how do they truly impact disability? Spine J 17:480–488. https://doi.org/10.1016/j.spinee.2016.10.013

    Article  PubMed  Google Scholar 

  20. Wegner AM, Iyer S, Lenke LG et al (2020) Global alignment and proportion (GAP) scores in an asymptomatic, nonoperative cohort: a divergence of age-adjusted and pelvic incidence-based alignment targets. Eur Spine J 29:2362–2367. https://doi.org/10.1007/s00586-020-06474-9

    Article  PubMed  Google Scholar 

  21. Yilgor C, Sogunmez N, Boissiere L et al (2017) Global alignment and proportion (GAP) score: development and validation of a new method of analyzing spinopelvic alignment to predict mechanical complications after adult spinal deformity surgery. J Bone Jt Surg Am 99:1661–1672. https://doi.org/10.2106/JBJS.16.01594

    Article  Google Scholar 

  22. DeLong ER, DeLong DM, Clarke-Pearson DL (1988) Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics 44:837. https://doi.org/10.2307/2531595

    Article  CAS  PubMed  Google Scholar 

  23. Jiang X, Westermann LB, Galleo GV et al (2013) Age as a predictor of osteoporotic fracture compared with current risk-prediction models. Obstet Gynecol 122:1040–1046. https://doi.org/10.1097/AOG.0b013e3182a7e29b

    Article  PubMed  Google Scholar 

  24. Kung AWC, Ho AYY, Ben SW et al (2003) Comparison of a simple clinical risk index and quantitative bone ultrasound for identifying women at increased risk of osteoporosis. Osteoporos Int 14:716–721. https://doi.org/10.1007/s00198-003-1428-x

    Article  PubMed  Google Scholar 

  25. Michalski AS, Besler BA, Burt LA, Boyd SK (2021) Opportunistic CT screening predicts individuals at risk of major osteoporotic fracture. Osteoporos Int 32:1639–1649. https://doi.org/10.1007/s00198-021-05863-0

    Article  CAS  PubMed  Google Scholar 

  26. Schwab FJ, Blondel B, Bess S et al (2013) Radiographical spinopelvic parameters and disability in the setting of adult spinal deformity: a prospective multicenter analysis. Spine Phila Pa (1976) 38:803–812. https://doi.org/10.1097/BRS.0b013e318292b7b9

    Article  Google Scholar 

  27. Imagama S, Ito Z, Wakao N et al (2013) Influence of spinal sagittal alignment, body balance, muscle strength, and physical ability on falling of middle-aged and elderly males. Eur Spine J 22:1346–1353. https://doi.org/10.1007/s00586-013-2721-9

    Article  PubMed  PubMed Central  Google Scholar 

  28. Bess S, Line B, Fu KM et al (2016) The health impact of symptomatic adult spinal deformity: Comparison of deformity types to United States population norms and chronic diseases. Spine Phila Pa (1976) 41:224–233. https://doi.org/10.1097/BRS.0000000000001202

    Article  PubMed  Google Scholar 

  29. Hasegawa K, Okamoto M, Hatsushikano S et al (2016) Normative values of spino-pelvic sagittal alignment, balance, age, and health-related quality of life in a cohort of healthy adult subjects. Eur Spine J 25:3675–3686. https://doi.org/10.1007/s00586-016-4702-2

    Article  PubMed  Google Scholar 

  30. Itoi E (1991) Roentgenographic analysis of posture in spinal osteoporotics. Spine Phila Pa (1976) 41:750–756. https://doi.org/10.1097/00007632-199107000-00011

    Article  Google Scholar 

  31. Yokoyama K, Kawanishi M, Yamada M et al (2017) Age-related variations in global spinal alignment and sagittal balance in asymptomatic Japanese adults. Neurol Res 39:414–418. https://doi.org/10.1080/01616412.2017.1296654

    Article  PubMed  Google Scholar 

  32. Kim J, Hwang JY, Oh JK et al (2017) The association between whole body sagittal balance and risk of falls among elderly patients seeking treatment for back pain. Bone Jt Res 6:337–344. https://doi.org/10.1302/2046-3758.65.BJR-2016-0271.R2

    Article  CAS  Google Scholar 

  33. Smorgick Y, Geftler A, Goldstein S et al (2020) Response to: determination of any correlation between sagittal spinopelvic configuration and progressive collapse of acute osteoporotic compression spine fractures: a retrospective radiological analysis. Asian Spine J 14:770–771. https://doi.org/10.31616/asj.2020.0453.r2

    Article  PubMed  PubMed Central  Google Scholar 

  34. Amanda LL, Joanne MM, Mohamed J, Ali G, Brett TA, Laiji Y, Douglas PK, Cupples LA, Mary LB, Thomas G, Travison EJS (2017) Thoracic kyphosis and physical function: the framingham study. J Am Geriatr Soc 65:2257–2264. https://doi.org/10.1111/jgs.15038.Thoracic

    Article  Google Scholar 

  35. Ha WS, Shin MH (2019) Postoperative lower limb compensation in patient with adult spinal deformity. J Clin Neurosci 59:106–111. https://doi.org/10.1016/j.jocn.2018.10.119

    Article  PubMed  Google Scholar 

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Acknowledgements

The authors would like to thank the participants in the present study and the doctors and physiotherapists at the hospital for their help in data acquisition from 2013 to 2020.

Funding

Grants or contracts from any entity (if not indicated in item #1 above). JSPS KAKENHI Grant Number JP20K19221.

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Correspondence to Ryoma Asahi.

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Asahi, R., Nakamura, Y., Koike, Y. et al. Sagittal alignment cut-off values for predicting future fall-related fractures in community-dwelling osteoporotic women. Eur Spine J 32, 1446–1454 (2023). https://doi.org/10.1007/s00586-023-07599-3

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