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. 2022 Jul 28:9:947212.
doi: 10.3389/fsurg.2022.947212. eCollection 2022.

Risk factors for bone cement displacement after percutaneous vertebral augmentation for osteoporotic vertebral compression fractures

Xiangcheng Gao  1   2 , Jinpeng Du  1 , Lin Gao  1 , Dingjun Hao  1 , Hua Hui  1 , Baorong He  1 , Liang Yan  1
Affiliations

Risk factors for bone cement displacement after percutaneous vertebral augmentation for osteoporotic vertebral compression fractures

Xiangcheng Gao et al. Front Surg. .

Abstract

Purpose: To explore the risk factors of bone cement displacement after percutaneous vertebral augmentation (PVA) in patients with osteoporotic vertebral compression fracture (OVCF).

Methods: We retrospectively reviewed the records of 1,538 patients with OVCF treated with percutaneous vertebroplasty (PVP) or percutaneous vertebroplasty (PKP) from January 2016 to June 2021. Patients were divided into bone cement displacement group (n = 78) and bone cement non-displacement group (n = 1,460) according to the radiographic images. Possible risk factors for bone cement displacement were noted, including age, gender, body mass index (BMI), bone mineral density (BMD), underlying disease, number of fractured vertebrae, involved vertebral segment, surgical method, surgical approach, vertebral height, Cobb angle, cement leakage, the viscosity of bone cement, bone cement diffuse ratio, degree of bone cement interweaving, sagittal bone cement placement, targeted location of bone cement, the distance between the bone cement and the upper and lower endplates, the time of wearing brace and postoperative osteoporosis treatment. Risk factors were identified with univariate and multivariate logistic regressions and the discrimination ability of the predictive indicators was evaluated using area under the curve (AUC) of the receiver operating characteristic (ROC).

Results: In multivariate regression, independent risk factors for bone cement displacement included: high restoration of Cobb angle (OR = 2.019, 95%[CI] 1.545-4.852, P < 0.001), cement leakage (anterior edge) (OR = 1.727, 95%[CI] 1.05-2.20, P < 0.001), small degree of bone cement interweaving (OR = 1.917, 95%[CI] 1.129-2.747, P < 0.001), non-targeted location of bone cement (OR = 2.323, 95%[CI] 1.645-4.134, P < 0.001), short duration of brace wearing (OR = 3.207, 95%[CI] 2.036-4.348, P < 0.001) and postoperative osteoporosis treatment (OR = 0.422, 95% CI = 0.323-0.547, P < 0.001). The AUCs for the high restoration of Cobb angle, cement leakage (anterior edge), small degree of bone cement interweaving, non-targeted location of bone cement, short duration of brace wearing and non-postoperative osteoporosis treatment were 0.784 (95% CI, 0.747-0.821), 0.811 (95% CI 0.764-0.859), 0.917 (95%CI 0.864-0.970), 0.610 (95%CI 0.552-0.669), 0.854 (95%CI 0.816-0.892) and 0.756 (95% CI, 0.712-0.800), respectively.

Conclusion: High restoration of Cobb angle, cement leakage (anterior edge), small degree of bone cement interweaving, non-targeted location of bone cement, short duration of brace wearing and non-postoperative osteoporosis treatment were the independent risk factors of bone cement displacement after PVA.

Keywords: bone cement displacement; complication; osteoporotic vertebral compression fracture (OVCF); percutaneous vertebral augmentation; risk factors.

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Conflict of interest statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
A 79-year-old female with bone cement displacement. (A,B): Anteroposterior and lateral x-ray radiographs showed that anterior displacement of bone cement of the L1 vertebra.
Figure 2
Figure 2
(A–C): The picture of the three-dimensional geometric model of the responsible vertebral body. (D,E): The picture of intravertebral bone cement model. (F): The picture of trabecular bone model in bone cement.
Figure 3
Figure 3
Risk factors of postoperative bone cement mass displacement.
Figure 4
Figure 4
Receiver operating curves for the prediction performance of the multiple logistic regression model.
See this image and copyright information in PMC

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