Assessment of the risk of osteoporotic vertebral fractures of the 2nd and 3rd degree in women in reproductive age and men under 50 with type 1 diabetes mellitus

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Abstract

Rationale: Patients with type 1 diabetes mellitus (DM1) have higher rates of any fractures than those without diabetes. Aim: To identify significant predictors of the osteoporotic vertebral fractures of the 2nd and 3rd degrees and to develop a  statistical model for the risk assessment in DM1 patients. Materials and methods: 97 DM1 patients and 77 control aged below 50 participated in this cross-sectional study. Multiple logistic regressions were used to assess the risk of osteoporotic vertebral fractures of the 2nd and 3rd degrees in DM1 patients. Results: Patients with DM1  had a  statistically significantly lower bone mineral density (BMD) (Z-criterion) in all areas of the axial skeleton, compared to that in the control group (p< 0.001). Osteoporotic vertebral fractures were significantly more frequent (p=0.0385) in DM1 patients than in the controls. The subgroup of DM1  patients with osteoporotic vertebral fractures (n=8) had higher daily insulin requirement per kg of bodyweight compared to that in the subgroup of the patients without fractures (n=89; р=0.029), as well as lower axial BMD (Z-criterion L1–L4, p=0.002; femoral neck Z-criterion, p< 0.001; proximal femoral Z-criterion, p=0.002). We developed a  statistical regression equation model including two parameters: 1) presence or absence of low femoral neck BMD based on the dual X-ray absorptiometry, 2)  daily insulin requirement per kg of bodyweight. Conclusion: The statistical model has the sensitivity of 87% and specificity of 75% to predict that the DM1 patients would have low or high risk of osteoporotic vertebral fractures of the 2nd and 3rd degree.

About the authors

O. V. Vodyanova

Belarusian Medical Academy for Postgraduate Education

Author for correspondence.
Email: olka-vip@tut.by
Postgraduate Student, Chair of Diagnostic Radiology Белоруссия

References

  1. Shah VN, Shah CS, Snell-Bergeon JK. Type 1 diabetes and risk of fracture: meta-analysis and review of the literature. Diabet Med. 2015;32(9): 1134–42. doi: 10.1111/ dme.12734.
  2. Vestergaard P, Rejnmark L, Mosekilde L. Diabetes and its complications and their relationship with risk of fractures in type 1 and 2 diabetes. Calcif Tissue Int. 2009;84(1): 45–55. doi: 10.1007/s00223-008-9195-5.
  3. Wang J, You W, Jing Z, Wang R, Fu Z, Wang Y. Increased risk of vertebral fracture in patients with diabetes: a meta-analysis of cohort studies. Int Orthop. 2016;40(6): 1299–307. doi: 10.1007/s00264-016-3146-y.
  4. Zhukouskaya VV, Eller-Vainicher C, Vadzianava VV, Shepelkevich AP, Zhurava IV, Korolenko GG, Salko OB, Cairoli E, Beck-Peccoz P, Chiodini I. Prevalence of morphometric vertebral fractures in patients with type 1 diabetes. Diabetes Care. 2013;36(6): 1635–40. doi: 10.2337/ dc12-1355.
  5. Ялочкина ТО, Белая ЖЕ, Рожинская ЛЯ, Анциферов МБ, Дзеранова ЛК, Мельниченко ГА. Переломы костей при сахарном диабете 2 типа: распространенность и факторы риска. Сахарный диабет. 2016;19(5): 359–65. doi: 10.14341/DM7796.
  6. Vestergaard P. Discrepancies in bone mineral density and fracture risk in patients with type 1 and type 2 diabetes – a meta-analysis. Osteoporos Int. 2007;18(4): 427–44. doi: 10.1007/s00198-006-0253-4.
  7. Crans GG, Genant HK, Krege JH. Prognostic utility of a semiquantitative spinal deformity index. Bone. 2005;37(2): 175–9. doi: 10.1016/j. bone.2005.04.003.
  8. Lindsay R, Silverman SL, Cooper C, Hanley DA, Barton I, Broy SB, Licata A, Benhamou L, Geusens P, Flowers K, Stracke H, Seeman E. Risk of new vertebral fracture in the year following a fracture. JAMA. 2001;285(3): 320–3. doi: 10.1001/jama.285.3.320.
  9. Melton LJ 3rd, Atkinson EJ, Cooper C, O'Fallon WM, Riggs BL. Vertebral fractures predict subsequent fractures. Osteoporos Int. 1999;10(3): 214–21. doi: 10.1007/ s001980050218.
  10. Levey AS, Stevens LA, Schmid CH, Zhang YL, Castro AF 3rd, Feldman HI, Kusek JW, Eggers P, Van Lente F, Greene T, Coresh J; CKDEPI (Chronic Kidney Disease Epidemiology Collaboration). A new equation to estimate glomerular filtration rate. Ann Intern Med. 2009;150(9): 604–12. doi: 10.7326/0003-4819-150-9-200905050-00006.
  11. The International Society for Clinical Densitometry. Official Positions 2015 ISCD Combined: Adult and Pediatric [Internet]. 2015. 24 p. Доступно на: https://iscd.app.box. com/v/OP-ISCD-2015-Adult. Дата обращения: 15.05.2017.
  12. Реброва ОЮ. Статистический анализ медицинских данных. Применение пакета прикладных программ STATISTICA. М.: Медиа Сфера; 2002. 312 с.
  13. Zhukouskaya VV, Shepelkevich AP, Chiodini I. Bone health in type 1 diabetes: where we are now and how we should proceed. Advances in Endocrinology. 2014;2014:982129. doi: 10.1155/2014/982129.
  14. Genant HK, Wu CY, van Kuijk C, Nevitt MC. Vertebral fracture assessment using a semiquantitative technique. J Bone Miner Res. 1993;8(9): 1137–48. doi: 10.1002/jbmr.5650080915.
  15. Genant HK, Jergas M, Palermo L, Nevitt M, Val-entin RS, Black D, Cummings SR. Comparison of semiquantitative visual and quantitative morphometric assessment of prevalent and incident vertebral fractures in osteoporosis The Study of Osteoporotic Fractures Research Group. J Bone Miner Res. 1996;11(7): 984–96. doi: 10.1002/jbmr.5650110716.
  16. Шепелькевич АП, Кабак СЛ, Рогов ЮИ, Кабак НС, Лебедь ОА. Морфологические изменения костной ткани при сахарном диабете 1-го типа. Военная медицина. 2011;(4): 68–73.
  17. Трухачева НВ. Математическая статистика в медико-биологических исследованиях с применением пакета STATISTICA. М.: ГЭОТАР-Медиа; 2013. 384 с.

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