Tianjin Medical Journal ›› 2024, Vol. 52 ›› Issue (7): 766-769.doi: 10.11958/20231883

• Clinical Research • Previous Articles     Next Articles

Construction of a prediction model for lumbar fracture in patients with osteoporosis

WANG Min1,2(), WANG Longsheng1,2,(), CHEN Lei3   

  1. 1 Department of Radiology, the Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China
    2 Medical Imaging Research Center, Anhui Medical University
    3 Department of Orthopaedics, the Second Affiliated Hospital of Anhui Medical University
  • Received:2023-12-04 Revised:2024-03-07 Published:2024-07-15 Online:2024-07-11
  • Contact: E-mail:wanglongsheng@ahmu.edu.cn

Abstract:

Objective To construct a prediction model for lumbar fracture in patients with osteoporosis (OP) based on lumbar bone mineral density measured by quantitative computed tomography (QCT) and bone metabolism indicators. Methods A total of 52 patients with OP and lumbar fracture (the fracture group) and 104 patients with OP without lumbar fracture (the non-fracture group) were selected as study subjects. The correlation between lumbar bone mineral density measured by QCT and serum procollagen type I C-propeptide (P1CP), N-terminal mid-fragment of osteocalcin (N-MID) and beta collagen degradation products (β-CTX) was analyzed. Logistic regression analysis was conducted to identify influencing factors of lumbar fracture. A prediction model was constructed and its predictive value was analyzed. Results Compared with the non-fracture group, the proportions of females and patients with fall history, β-CTX level and vitamin D/ calcium medication history were higher in the fracture group, and lumbar bone mineral density measured by lumbar QCT, P1CP and N-MID levels were lower (P<0.05). Pearson correlation analysis found that lumbar bone mineral density measured by QCT was positively correlated with serum levels of P1CP and N-MID, and negatively correlated with β-CTX (r=0.523, 0.506, -0.536, P<0.05). Multivariate Logistic regression analysis found that higher lumbar bone mineral density measured by QCT, P1CP, N-MID and history of taking vitamin D/calcium were protective factors for lumbar fracture, and igher β-CTX level was a risk factor (P<0.05). The sensitivity and specificity of the prediction model constructed based on Logistic regression analysis results for predicting lumbar fracture were 84.62% and 97.12%. The area under the curve was 0.926 (95%CI: 0.873-0.962). The prediction model had good calibration, and the agreement rate was 0.910. Conclusion OP patients with higher levels of QCT, P1CP and N-MID, and lower level of β-CTX have lower risk of lumbar fracture. Vitamin D and calcium can effectively prevent the occurrence of lumbar fracture in OP patients, especially in women.

Key words: osteoporosis, bonedensity, risk factors, Logistic models, lumbar fracture, bone metabolism

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