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April 18, 2026BMC Musculoskeletal Disorders0 citationsOpen Access

Analysis of risk factors and development of a predictive model for new vertebral fractures subsequent to percutaneous kyphoplasty in patients with single-segment osteoporotic vertebral compression fractures

FZF W ZhangJCJiayi ChenGLGuang Li

Key Points

  • This study aims to identify risk factors for new vertebral fractures after kyphoplasty and develop a prediction model for high-risk patients.
  • Retrospective cohort study
  • Enrolled 257 patients with single-segment osteoporotic fractures
  • Stratified participants into refracture and non-refracture groups
  • Performed univariate and multivariate logistic regression analyses
  • Constructed and validated a refracture risk nomogram
  • Moderate and severe fractures, intradiscal cement leakage, and falls are linked to higher refracture risk
  • Higher bone mineral density, anti-osteoporosis treatment, and early mobilization reduce refracture risk
  • Nomogram shows strong predictive ability with training AUC = 0.892 and testing AUC = 0.836
  • Calibration curves indicate good agreement between predicted and observed outcomes
  • Decision curve analysis confirms clinical utility of the nomogram

Abstract

To investigate the risk factors for new vertebral compression fractures (NVCFs) after percutaneous kyphoplasty (PKP) for osteoporotic vertebral compression fractures (OVCFs) and to construct a postoperative risk stratification nomogram for predicting refracture probability and identifying high-risk patients who require intensive postoperative monitoring and aggressive preventive interventions. This retrospective cohort study enrolled 257 patients with single-segment OVCFs treated at Hainan General Hospital from January 2021 to December 2023. Participants were stratified into refracture (n = 56) and non-refracture (n = 201) groups based on new vertebral fracture occurrence within 1-year post-PKP. Data were randomly partitioned into training (n = 180) and validation (n = 77) sets at a 7:3 ratio. Independent risk factors were identified through univariate screening followed by multivariate logistic regression. A refracture risk nomogram was constructed using significant multivariate predictors, with comprehensive validation of predictive utility through tripartite assessment: receiver operating characteristic curve analysis, calibration curves, and decision curve analysis (DCA). Univariate analysis revealed significant between-group differences in sex, bone mineral density (BMD), vertebral height recovery rate, fracture severity, intradiscal cement leakage, anti-osteoporosis treatment, early postoperative mobilization, and history of postoperative falls (all P < 0.05). Multivariate analysis identified moderate fractures OR = 7.08, 95%CI (1.39-54.00), P = 0.029, severe fractures OR = 8.60, 95%CI (2.03–60.20), P = 0.009, intradiscal cement leakage OR = 10.40, 95%CI (2.55–51.30), P = 0.002, and postoperative falls OR = 4.99, 95%CI (1.75–15.30), P = 0.003 as independent risk factors positively associated with refracture. Conversely, higher BMD OR = 0.61, 95%CI (0.40–0.91), P = 0.016, anti-osteoporosis treatment OR = 0.24, 95%CI (0.08–0.63), P = 0.005, and early mobilization OR = 0.28, 95%CI (0.09–0.77), P = 0.017 demonstrated protective effects. The nomogram maintained robust discrimination across cohorts: training set AUC = 0.892 (95%CI:0.832–0.952) with 78.60% sensitivity and 89.90% specificity at 0.355 cut-off; testing set AUC = 0.836 (95%CI:0.691–0.982) with 78.60% sensitivity and 85.70% specificity at 0.269 cut-off. Calibration curves demonstrated good agreement between predicted and observed outcomes. Decision curve analysis (DCA) demonstrated clinical utility with positive net benefits at 0%-76% (training) and 0%-82% (testing) risk thresholds. Low BMD, moderate-severe fracture severity, bone cement intradiscal leakage, inadequate anti-osteoporosis treatment, delayed postoperative mobilization, and falls are predominant risk factors for NVCFs after PKP. A validated nomogram prediction model was developed based on these six established risk factors. Clinical trial number: not applicable.

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Cite This Study

Zhang et al. (2026) studied this question.

synapsesocial.com/papers/69e3215140886becb65407cehttps://doi.org/10.1186/s12891-026-09763-4
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